Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- added_tokens.json +3 -0
- checkpoint-1804/added_tokens.json +3 -0
- checkpoint-1804/config.json +46 -0
- checkpoint-1804/model.safetensors +3 -0
- checkpoint-1804/optimizer.pt +3 -0
- checkpoint-1804/rng_state.pth +3 -0
- checkpoint-1804/scheduler.pt +3 -0
- checkpoint-1804/special_tokens_map.json +15 -0
- checkpoint-1804/spm.model +3 -0
- checkpoint-1804/tokenizer.json +0 -0
- checkpoint-1804/tokenizer_config.json +59 -0
- checkpoint-1804/trainer_state.json +1318 -0
- checkpoint-1804/training_args.bin +3 -0
- checkpoint-2706/added_tokens.json +3 -0
- checkpoint-2706/config.json +46 -0
- checkpoint-2706/model.safetensors +3 -0
- checkpoint-2706/optimizer.pt +3 -0
- checkpoint-2706/rng_state.pth +3 -0
- checkpoint-2706/scheduler.pt +3 -0
- checkpoint-2706/special_tokens_map.json +15 -0
- checkpoint-2706/spm.model +3 -0
- checkpoint-2706/tokenizer.json +0 -0
- checkpoint-2706/tokenizer_config.json +59 -0
- checkpoint-2706/trainer_state.json +1960 -0
- checkpoint-2706/training_args.bin +3 -0
- checkpoint-3608/added_tokens.json +3 -0
- checkpoint-3608/config.json +46 -0
- checkpoint-3608/model.safetensors +3 -0
- checkpoint-3608/optimizer.pt +3 -0
- checkpoint-3608/rng_state.pth +3 -0
- checkpoint-3608/scheduler.pt +3 -0
- checkpoint-3608/special_tokens_map.json +15 -0
- checkpoint-3608/spm.model +3 -0
- checkpoint-3608/tokenizer.json +0 -0
- checkpoint-3608/tokenizer_config.json +59 -0
- checkpoint-3608/trainer_state.json +2602 -0
- checkpoint-3608/training_args.bin +3 -0
- checkpoint-4510/added_tokens.json +3 -0
- checkpoint-4510/config.json +46 -0
- checkpoint-4510/model.safetensors +3 -0
- checkpoint-4510/optimizer.pt +3 -0
- checkpoint-4510/rng_state.pth +3 -0
- checkpoint-4510/scheduler.pt +3 -0
- checkpoint-4510/special_tokens_map.json +15 -0
- checkpoint-4510/spm.model +3 -0
- checkpoint-4510/tokenizer.json +0 -0
- checkpoint-4510/tokenizer_config.json +59 -0
- checkpoint-4510/trainer_state.json +3251 -0
- checkpoint-4510/training_args.bin +3 -0
- checkpoint-5412/added_tokens.json +3 -0
added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-1804/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-1804/config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"DebertaV2ForSequenceClassification"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.1,
|
6 |
+
"hidden_act": "gelu",
|
7 |
+
"hidden_dropout_prob": 0.1,
|
8 |
+
"hidden_size": 1024,
|
9 |
+
"id2label": {
|
10 |
+
"0": 0,
|
11 |
+
"1": 1,
|
12 |
+
"2": 2
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 4096,
|
16 |
+
"label2id": {
|
17 |
+
"0": 0,
|
18 |
+
"1": 1,
|
19 |
+
"2": 2
|
20 |
+
},
|
21 |
+
"layer_norm_eps": 1e-07,
|
22 |
+
"legacy": true,
|
23 |
+
"max_position_embeddings": 512,
|
24 |
+
"max_relative_positions": -1,
|
25 |
+
"model_type": "deberta-v2",
|
26 |
+
"norm_rel_ebd": "layer_norm",
|
27 |
+
"num_attention_heads": 16,
|
28 |
+
"num_hidden_layers": 24,
|
29 |
+
"pad_token_id": 0,
|
30 |
+
"pooler_dropout": 0,
|
31 |
+
"pooler_hidden_act": "gelu",
|
32 |
+
"pooler_hidden_size": 1024,
|
33 |
+
"pos_att_type": [
|
34 |
+
"p2c",
|
35 |
+
"c2p"
|
36 |
+
],
|
37 |
+
"position_biased_input": false,
|
38 |
+
"position_buckets": 256,
|
39 |
+
"problem_type": "multi_label_classification",
|
40 |
+
"relative_attention": true,
|
41 |
+
"share_att_key": true,
|
42 |
+
"torch_dtype": "float32",
|
43 |
+
"transformers_version": "4.51.3",
|
44 |
+
"type_vocab_size": 0,
|
45 |
+
"vocab_size": 128100
|
46 |
+
}
|
checkpoint-1804/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3b7f46e7d3b3645227c56871d5367a24aceef9b52b112c057a0310d97337410c
|
3 |
+
size 1740308548
|
checkpoint-1804/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75387d6e3357c2858fdb7df1c35568941b80d3c3d62d1d87cd57f53ed1d961bd
|
3 |
+
size 3480848432
|
checkpoint-1804/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3e7a6177d40c4fa527124f6d28f6869b9b7f403d4d18ca2fa952605a14627b87
|
3 |
+
size 14244
|
checkpoint-1804/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eb55cb4c7ef32286047fa8f11c947a115042b842f08e32edf5fc9635534f692d
|
3 |
+
size 1064
|
checkpoint-1804/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": {
|
9 |
+
"content": "[UNK]",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": true,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
}
|
15 |
+
}
|
checkpoint-1804/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
checkpoint-1804/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1804/tokenizer_config.json
ADDED
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128000": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": false,
|
46 |
+
"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": false,
|
48 |
+
"eos_token": "[SEP]",
|
49 |
+
"extra_special_tokens": {},
|
50 |
+
"mask_token": "[MASK]",
|
51 |
+
"model_max_length": 1000000000000000019884624838656,
|
52 |
+
"pad_token": "[PAD]",
|
53 |
+
"sep_token": "[SEP]",
|
54 |
+
"sp_model_kwargs": {},
|
55 |
+
"split_by_punct": false,
|
56 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
57 |
+
"unk_token": "[UNK]",
|
58 |
+
"vocab_type": "spm"
|
59 |
+
}
|
checkpoint-1804/trainer_state.json
ADDED
@@ -0,0 +1,1318 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 2.0,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 1804,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.011092623405435386,
|
14 |
+
"grad_norm": 2.009918689727783,
|
15 |
+
"learning_rate": 1.998002219755827e-05,
|
16 |
+
"loss": 0.5022,
|
17 |
+
"step": 10
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.022185246810870772,
|
21 |
+
"grad_norm": 0.49915584921836853,
|
22 |
+
"learning_rate": 1.995782463928968e-05,
|
23 |
+
"loss": 0.1943,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.033277870216306155,
|
28 |
+
"grad_norm": 0.47061625123023987,
|
29 |
+
"learning_rate": 1.993562708102109e-05,
|
30 |
+
"loss": 0.1436,
|
31 |
+
"step": 30
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.044370493621741544,
|
35 |
+
"grad_norm": 0.2260124832391739,
|
36 |
+
"learning_rate": 1.99134295227525e-05,
|
37 |
+
"loss": 0.1106,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.05546311702717693,
|
42 |
+
"grad_norm": 0.31766048073768616,
|
43 |
+
"learning_rate": 1.989123196448391e-05,
|
44 |
+
"loss": 0.0994,
|
45 |
+
"step": 50
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.06655574043261231,
|
49 |
+
"grad_norm": 0.2788391709327698,
|
50 |
+
"learning_rate": 1.9869034406215316e-05,
|
51 |
+
"loss": 0.111,
|
52 |
+
"step": 60
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.0776483638380477,
|
56 |
+
"grad_norm": 0.24376386404037476,
|
57 |
+
"learning_rate": 1.9846836847946726e-05,
|
58 |
+
"loss": 0.0849,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.08874098724348309,
|
63 |
+
"grad_norm": 0.1789788454771042,
|
64 |
+
"learning_rate": 1.982463928967814e-05,
|
65 |
+
"loss": 0.0971,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.09983361064891846,
|
70 |
+
"grad_norm": 0.29698437452316284,
|
71 |
+
"learning_rate": 1.9802441731409546e-05,
|
72 |
+
"loss": 0.0856,
|
73 |
+
"step": 90
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.11092623405435385,
|
77 |
+
"grad_norm": 0.2553412616252899,
|
78 |
+
"learning_rate": 1.9780244173140956e-05,
|
79 |
+
"loss": 0.0976,
|
80 |
+
"step": 100
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.12201885745978924,
|
84 |
+
"grad_norm": 0.20608791708946228,
|
85 |
+
"learning_rate": 1.9758046614872365e-05,
|
86 |
+
"loss": 0.0947,
|
87 |
+
"step": 110
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.13311148086522462,
|
91 |
+
"grad_norm": 0.23551669716835022,
|
92 |
+
"learning_rate": 1.9735849056603775e-05,
|
93 |
+
"loss": 0.0965,
|
94 |
+
"step": 120
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.14420410427066002,
|
98 |
+
"grad_norm": 0.3207148611545563,
|
99 |
+
"learning_rate": 1.9713651498335185e-05,
|
100 |
+
"loss": 0.0931,
|
101 |
+
"step": 130
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.1552967276760954,
|
105 |
+
"grad_norm": 0.34813177585601807,
|
106 |
+
"learning_rate": 1.9691453940066595e-05,
|
107 |
+
"loss": 0.1,
|
108 |
+
"step": 140
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.16638935108153077,
|
112 |
+
"grad_norm": 0.41501104831695557,
|
113 |
+
"learning_rate": 1.9669256381798e-05,
|
114 |
+
"loss": 0.0922,
|
115 |
+
"step": 150
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.17748197448696618,
|
119 |
+
"grad_norm": 0.24550506472587585,
|
120 |
+
"learning_rate": 1.964705882352941e-05,
|
121 |
+
"loss": 0.0857,
|
122 |
+
"step": 160
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.18857459789240155,
|
126 |
+
"grad_norm": 0.4205056130886078,
|
127 |
+
"learning_rate": 1.9624861265260825e-05,
|
128 |
+
"loss": 0.0831,
|
129 |
+
"step": 170
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.19966722129783693,
|
133 |
+
"grad_norm": 0.6002993583679199,
|
134 |
+
"learning_rate": 1.9602663706992235e-05,
|
135 |
+
"loss": 0.0792,
|
136 |
+
"step": 180
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.21075984470327233,
|
140 |
+
"grad_norm": 0.27535638213157654,
|
141 |
+
"learning_rate": 1.958046614872364e-05,
|
142 |
+
"loss": 0.0786,
|
143 |
+
"step": 190
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.2218524681087077,
|
147 |
+
"grad_norm": 0.41602805256843567,
|
148 |
+
"learning_rate": 1.955826859045505e-05,
|
149 |
+
"loss": 0.0789,
|
150 |
+
"step": 200
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.23294509151414308,
|
154 |
+
"grad_norm": 0.41827332973480225,
|
155 |
+
"learning_rate": 1.953607103218646e-05,
|
156 |
+
"loss": 0.0663,
|
157 |
+
"step": 210
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.24403771491957849,
|
161 |
+
"grad_norm": 0.47976112365722656,
|
162 |
+
"learning_rate": 1.951387347391787e-05,
|
163 |
+
"loss": 0.0727,
|
164 |
+
"step": 220
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.25513033832501386,
|
168 |
+
"grad_norm": 0.7771281599998474,
|
169 |
+
"learning_rate": 1.949167591564928e-05,
|
170 |
+
"loss": 0.0776,
|
171 |
+
"step": 230
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.26622296173044924,
|
175 |
+
"grad_norm": 1.0573914051055908,
|
176 |
+
"learning_rate": 1.946947835738069e-05,
|
177 |
+
"loss": 0.0828,
|
178 |
+
"step": 240
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.2773155851358846,
|
182 |
+
"grad_norm": 0.5186040997505188,
|
183 |
+
"learning_rate": 1.9447280799112097e-05,
|
184 |
+
"loss": 0.0767,
|
185 |
+
"step": 250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.28840820854132004,
|
189 |
+
"grad_norm": 0.5594862699508667,
|
190 |
+
"learning_rate": 1.942508324084351e-05,
|
191 |
+
"loss": 0.0699,
|
192 |
+
"step": 260
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.2995008319467554,
|
196 |
+
"grad_norm": 0.5147818922996521,
|
197 |
+
"learning_rate": 1.940288568257492e-05,
|
198 |
+
"loss": 0.0591,
|
199 |
+
"step": 270
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.3105934553521908,
|
203 |
+
"grad_norm": 0.5510437488555908,
|
204 |
+
"learning_rate": 1.938068812430633e-05,
|
205 |
+
"loss": 0.0761,
|
206 |
+
"step": 280
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.32168607875762617,
|
210 |
+
"grad_norm": 0.4817625880241394,
|
211 |
+
"learning_rate": 1.9358490566037736e-05,
|
212 |
+
"loss": 0.0688,
|
213 |
+
"step": 290
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.33277870216306155,
|
217 |
+
"grad_norm": 0.504362940788269,
|
218 |
+
"learning_rate": 1.9336293007769146e-05,
|
219 |
+
"loss": 0.0691,
|
220 |
+
"step": 300
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.343871325568497,
|
224 |
+
"grad_norm": 0.5732384920120239,
|
225 |
+
"learning_rate": 1.9314095449500556e-05,
|
226 |
+
"loss": 0.057,
|
227 |
+
"step": 310
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.35496394897393235,
|
231 |
+
"grad_norm": 0.5892298221588135,
|
232 |
+
"learning_rate": 1.9291897891231966e-05,
|
233 |
+
"loss": 0.059,
|
234 |
+
"step": 320
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.36605657237936773,
|
238 |
+
"grad_norm": 0.3680512309074402,
|
239 |
+
"learning_rate": 1.9269700332963376e-05,
|
240 |
+
"loss": 0.0706,
|
241 |
+
"step": 330
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.3771491957848031,
|
245 |
+
"grad_norm": 0.41971662640571594,
|
246 |
+
"learning_rate": 1.9247502774694786e-05,
|
247 |
+
"loss": 0.053,
|
248 |
+
"step": 340
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.3882418191902385,
|
252 |
+
"grad_norm": 0.37261390686035156,
|
253 |
+
"learning_rate": 1.9225305216426195e-05,
|
254 |
+
"loss": 0.0632,
|
255 |
+
"step": 350
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.39933444259567386,
|
259 |
+
"grad_norm": 0.48256734013557434,
|
260 |
+
"learning_rate": 1.9203107658157605e-05,
|
261 |
+
"loss": 0.0651,
|
262 |
+
"step": 360
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.4104270660011093,
|
266 |
+
"grad_norm": 0.7914339303970337,
|
267 |
+
"learning_rate": 1.9180910099889015e-05,
|
268 |
+
"loss": 0.0659,
|
269 |
+
"step": 370
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.42151968940654466,
|
273 |
+
"grad_norm": 0.6772429347038269,
|
274 |
+
"learning_rate": 1.915871254162042e-05,
|
275 |
+
"loss": 0.0655,
|
276 |
+
"step": 380
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.43261231281198004,
|
280 |
+
"grad_norm": 0.5621687173843384,
|
281 |
+
"learning_rate": 1.913651498335183e-05,
|
282 |
+
"loss": 0.0707,
|
283 |
+
"step": 390
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.4437049362174154,
|
287 |
+
"grad_norm": 0.30515748262405396,
|
288 |
+
"learning_rate": 1.911431742508324e-05,
|
289 |
+
"loss": 0.0548,
|
290 |
+
"step": 400
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.4547975596228508,
|
294 |
+
"grad_norm": 0.5506859421730042,
|
295 |
+
"learning_rate": 1.909211986681465e-05,
|
296 |
+
"loss": 0.0554,
|
297 |
+
"step": 410
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.46589018302828616,
|
301 |
+
"grad_norm": 0.6387749314308167,
|
302 |
+
"learning_rate": 1.906992230854606e-05,
|
303 |
+
"loss": 0.0554,
|
304 |
+
"step": 420
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.4769828064337216,
|
308 |
+
"grad_norm": 0.18500734865665436,
|
309 |
+
"learning_rate": 1.904772475027747e-05,
|
310 |
+
"loss": 0.0558,
|
311 |
+
"step": 430
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.48807542983915697,
|
315 |
+
"grad_norm": 0.6815407276153564,
|
316 |
+
"learning_rate": 1.902552719200888e-05,
|
317 |
+
"loss": 0.0537,
|
318 |
+
"step": 440
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.49916805324459235,
|
322 |
+
"grad_norm": 0.4826994836330414,
|
323 |
+
"learning_rate": 1.900332963374029e-05,
|
324 |
+
"loss": 0.0567,
|
325 |
+
"step": 450
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.5102606766500277,
|
329 |
+
"grad_norm": 0.24618124961853027,
|
330 |
+
"learning_rate": 1.89811320754717e-05,
|
331 |
+
"loss": 0.0614,
|
332 |
+
"step": 460
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.5213533000554631,
|
336 |
+
"grad_norm": 1.0037415027618408,
|
337 |
+
"learning_rate": 1.895893451720311e-05,
|
338 |
+
"loss": 0.0604,
|
339 |
+
"step": 470
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.5324459234608985,
|
343 |
+
"grad_norm": 0.6000948548316956,
|
344 |
+
"learning_rate": 1.8936736958934517e-05,
|
345 |
+
"loss": 0.0683,
|
346 |
+
"step": 480
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.5435385468663338,
|
350 |
+
"grad_norm": 0.3302474319934845,
|
351 |
+
"learning_rate": 1.8914539400665927e-05,
|
352 |
+
"loss": 0.0543,
|
353 |
+
"step": 490
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.5546311702717692,
|
357 |
+
"grad_norm": 0.5560783743858337,
|
358 |
+
"learning_rate": 1.8892341842397337e-05,
|
359 |
+
"loss": 0.0569,
|
360 |
+
"step": 500
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.5657237936772047,
|
364 |
+
"grad_norm": 0.8041097521781921,
|
365 |
+
"learning_rate": 1.8870144284128747e-05,
|
366 |
+
"loss": 0.0544,
|
367 |
+
"step": 510
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.5768164170826401,
|
371 |
+
"grad_norm": 0.6846103668212891,
|
372 |
+
"learning_rate": 1.8847946725860156e-05,
|
373 |
+
"loss": 0.058,
|
374 |
+
"step": 520
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.5879090404880755,
|
378 |
+
"grad_norm": 0.50434809923172,
|
379 |
+
"learning_rate": 1.8825749167591566e-05,
|
380 |
+
"loss": 0.0654,
|
381 |
+
"step": 530
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.5990016638935108,
|
385 |
+
"grad_norm": 0.54362553358078,
|
386 |
+
"learning_rate": 1.8803551609322976e-05,
|
387 |
+
"loss": 0.0582,
|
388 |
+
"step": 540
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.6100942872989462,
|
392 |
+
"grad_norm": 0.6166839599609375,
|
393 |
+
"learning_rate": 1.8781354051054386e-05,
|
394 |
+
"loss": 0.0672,
|
395 |
+
"step": 550
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.6211869107043816,
|
399 |
+
"grad_norm": 0.4353054165840149,
|
400 |
+
"learning_rate": 1.8759156492785796e-05,
|
401 |
+
"loss": 0.0532,
|
402 |
+
"step": 560
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.632279534109817,
|
406 |
+
"grad_norm": 0.6025580167770386,
|
407 |
+
"learning_rate": 1.8736958934517206e-05,
|
408 |
+
"loss": 0.0746,
|
409 |
+
"step": 570
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.6433721575152523,
|
413 |
+
"grad_norm": 0.7259892225265503,
|
414 |
+
"learning_rate": 1.8714761376248612e-05,
|
415 |
+
"loss": 0.0642,
|
416 |
+
"step": 580
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.6544647809206877,
|
420 |
+
"grad_norm": 0.4940318465232849,
|
421 |
+
"learning_rate": 1.8692563817980022e-05,
|
422 |
+
"loss": 0.0547,
|
423 |
+
"step": 590
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.6655574043261231,
|
427 |
+
"grad_norm": 0.7005699872970581,
|
428 |
+
"learning_rate": 1.8670366259711435e-05,
|
429 |
+
"loss": 0.0522,
|
430 |
+
"step": 600
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.6766500277315585,
|
434 |
+
"grad_norm": 0.4530707895755768,
|
435 |
+
"learning_rate": 1.8648168701442845e-05,
|
436 |
+
"loss": 0.054,
|
437 |
+
"step": 610
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.687742651136994,
|
441 |
+
"grad_norm": 0.9097110629081726,
|
442 |
+
"learning_rate": 1.8625971143174252e-05,
|
443 |
+
"loss": 0.0622,
|
444 |
+
"step": 620
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.6988352745424293,
|
448 |
+
"grad_norm": 0.5374599695205688,
|
449 |
+
"learning_rate": 1.860377358490566e-05,
|
450 |
+
"loss": 0.0522,
|
451 |
+
"step": 630
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.7099278979478647,
|
455 |
+
"grad_norm": 0.3849945664405823,
|
456 |
+
"learning_rate": 1.858157602663707e-05,
|
457 |
+
"loss": 0.0571,
|
458 |
+
"step": 640
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.7210205213533001,
|
462 |
+
"grad_norm": 0.5918008685112,
|
463 |
+
"learning_rate": 1.855937846836848e-05,
|
464 |
+
"loss": 0.0576,
|
465 |
+
"step": 650
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.7321131447587355,
|
469 |
+
"grad_norm": 0.3229956030845642,
|
470 |
+
"learning_rate": 1.853718091009989e-05,
|
471 |
+
"loss": 0.0537,
|
472 |
+
"step": 660
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.7432057681641708,
|
476 |
+
"grad_norm": 0.5264039039611816,
|
477 |
+
"learning_rate": 1.85149833518313e-05,
|
478 |
+
"loss": 0.06,
|
479 |
+
"step": 670
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.7542983915696062,
|
483 |
+
"grad_norm": 0.36795660853385925,
|
484 |
+
"learning_rate": 1.8492785793562708e-05,
|
485 |
+
"loss": 0.0511,
|
486 |
+
"step": 680
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.7653910149750416,
|
490 |
+
"grad_norm": 0.5905130505561829,
|
491 |
+
"learning_rate": 1.847058823529412e-05,
|
492 |
+
"loss": 0.0636,
|
493 |
+
"step": 690
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.776483638380477,
|
497 |
+
"grad_norm": 0.36266571283340454,
|
498 |
+
"learning_rate": 1.844839067702553e-05,
|
499 |
+
"loss": 0.0598,
|
500 |
+
"step": 700
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.7875762617859123,
|
504 |
+
"grad_norm": 0.4978592097759247,
|
505 |
+
"learning_rate": 1.8426193118756937e-05,
|
506 |
+
"loss": 0.0607,
|
507 |
+
"step": 710
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.7986688851913477,
|
511 |
+
"grad_norm": 0.4635021686553955,
|
512 |
+
"learning_rate": 1.8403995560488347e-05,
|
513 |
+
"loss": 0.0543,
|
514 |
+
"step": 720
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.8097615085967831,
|
518 |
+
"grad_norm": 0.44571858644485474,
|
519 |
+
"learning_rate": 1.8381798002219757e-05,
|
520 |
+
"loss": 0.0678,
|
521 |
+
"step": 730
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.8208541320022186,
|
525 |
+
"grad_norm": 0.8265877366065979,
|
526 |
+
"learning_rate": 1.8359600443951167e-05,
|
527 |
+
"loss": 0.0552,
|
528 |
+
"step": 740
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.831946755407654,
|
532 |
+
"grad_norm": 0.5776472091674805,
|
533 |
+
"learning_rate": 1.8337402885682577e-05,
|
534 |
+
"loss": 0.0505,
|
535 |
+
"step": 750
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.8430393788130893,
|
539 |
+
"grad_norm": 0.299274742603302,
|
540 |
+
"learning_rate": 1.8315205327413986e-05,
|
541 |
+
"loss": 0.0619,
|
542 |
+
"step": 760
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.8541320022185247,
|
546 |
+
"grad_norm": 0.587645947933197,
|
547 |
+
"learning_rate": 1.8293007769145393e-05,
|
548 |
+
"loss": 0.0575,
|
549 |
+
"step": 770
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.8652246256239601,
|
553 |
+
"grad_norm": 0.39164137840270996,
|
554 |
+
"learning_rate": 1.8270810210876806e-05,
|
555 |
+
"loss": 0.0458,
|
556 |
+
"step": 780
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.8763172490293955,
|
560 |
+
"grad_norm": 0.4663292169570923,
|
561 |
+
"learning_rate": 1.8248612652608216e-05,
|
562 |
+
"loss": 0.048,
|
563 |
+
"step": 790
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.8874098724348308,
|
567 |
+
"grad_norm": 0.5804581642150879,
|
568 |
+
"learning_rate": 1.8226415094339626e-05,
|
569 |
+
"loss": 0.0557,
|
570 |
+
"step": 800
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.8985024958402662,
|
574 |
+
"grad_norm": 0.4279440939426422,
|
575 |
+
"learning_rate": 1.8204217536071032e-05,
|
576 |
+
"loss": 0.051,
|
577 |
+
"step": 810
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.9095951192457016,
|
581 |
+
"grad_norm": 0.5384302735328674,
|
582 |
+
"learning_rate": 1.8182019977802442e-05,
|
583 |
+
"loss": 0.0558,
|
584 |
+
"step": 820
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.920687742651137,
|
588 |
+
"grad_norm": 0.5049973726272583,
|
589 |
+
"learning_rate": 1.8159822419533852e-05,
|
590 |
+
"loss": 0.047,
|
591 |
+
"step": 830
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.9317803660565723,
|
595 |
+
"grad_norm": 0.8061177134513855,
|
596 |
+
"learning_rate": 1.8137624861265262e-05,
|
597 |
+
"loss": 0.0572,
|
598 |
+
"step": 840
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.9428729894620078,
|
602 |
+
"grad_norm": 0.6056540012359619,
|
603 |
+
"learning_rate": 1.8115427302996672e-05,
|
604 |
+
"loss": 0.0539,
|
605 |
+
"step": 850
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.9539656128674432,
|
609 |
+
"grad_norm": 0.3001384139060974,
|
610 |
+
"learning_rate": 1.8093229744728082e-05,
|
611 |
+
"loss": 0.053,
|
612 |
+
"step": 860
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.9650582362728786,
|
616 |
+
"grad_norm": 0.6709749102592468,
|
617 |
+
"learning_rate": 1.807103218645949e-05,
|
618 |
+
"loss": 0.0526,
|
619 |
+
"step": 870
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.9761508596783139,
|
623 |
+
"grad_norm": 0.8233507871627808,
|
624 |
+
"learning_rate": 1.80488346281909e-05,
|
625 |
+
"loss": 0.0621,
|
626 |
+
"step": 880
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.9872434830837493,
|
630 |
+
"grad_norm": 0.5757150650024414,
|
631 |
+
"learning_rate": 1.802663706992231e-05,
|
632 |
+
"loss": 0.0546,
|
633 |
+
"step": 890
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.9983361064891847,
|
637 |
+
"grad_norm": 0.6834889054298401,
|
638 |
+
"learning_rate": 1.800443951165372e-05,
|
639 |
+
"loss": 0.0462,
|
640 |
+
"step": 900
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.0,
|
644 |
+
"eval_accuracy": 0.8720027017899359,
|
645 |
+
"eval_f1": 0.5678449258836944,
|
646 |
+
"eval_loss": 0.34414270520210266,
|
647 |
+
"eval_precision": 0.7929936305732485,
|
648 |
+
"eval_recall": 0.4422735346358792,
|
649 |
+
"eval_runtime": 2.727,
|
650 |
+
"eval_samples_per_second": 361.937,
|
651 |
+
"eval_steps_per_second": 11.368,
|
652 |
+
"step": 902
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.0088740987243483,
|
656 |
+
"grad_norm": 0.4411003887653351,
|
657 |
+
"learning_rate": 1.7982241953385128e-05,
|
658 |
+
"loss": 0.0312,
|
659 |
+
"step": 910
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.0199667221297837,
|
663 |
+
"grad_norm": 0.40500083565711975,
|
664 |
+
"learning_rate": 1.7960044395116538e-05,
|
665 |
+
"loss": 0.0345,
|
666 |
+
"step": 920
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.031059345535219,
|
670 |
+
"grad_norm": 0.9287449717521667,
|
671 |
+
"learning_rate": 1.7937846836847947e-05,
|
672 |
+
"loss": 0.0419,
|
673 |
+
"step": 930
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 1.0421519689406544,
|
677 |
+
"grad_norm": 0.7969145178794861,
|
678 |
+
"learning_rate": 1.7915649278579357e-05,
|
679 |
+
"loss": 0.042,
|
680 |
+
"step": 940
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.0532445923460898,
|
684 |
+
"grad_norm": 0.49280259013175964,
|
685 |
+
"learning_rate": 1.7893451720310767e-05,
|
686 |
+
"loss": 0.0427,
|
687 |
+
"step": 950
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 1.0643372157515252,
|
691 |
+
"grad_norm": 1.1647624969482422,
|
692 |
+
"learning_rate": 1.7871254162042177e-05,
|
693 |
+
"loss": 0.0341,
|
694 |
+
"step": 960
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.0754298391569606,
|
698 |
+
"grad_norm": 0.2908968925476074,
|
699 |
+
"learning_rate": 1.7849056603773587e-05,
|
700 |
+
"loss": 0.0389,
|
701 |
+
"step": 970
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.086522462562396,
|
705 |
+
"grad_norm": 0.521218478679657,
|
706 |
+
"learning_rate": 1.7826859045504997e-05,
|
707 |
+
"loss": 0.0396,
|
708 |
+
"step": 980
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.0976150859678313,
|
712 |
+
"grad_norm": 0.4156598150730133,
|
713 |
+
"learning_rate": 1.7804661487236407e-05,
|
714 |
+
"loss": 0.0359,
|
715 |
+
"step": 990
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 1.1087077093732667,
|
719 |
+
"grad_norm": 0.7260242104530334,
|
720 |
+
"learning_rate": 1.7782463928967813e-05,
|
721 |
+
"loss": 0.0384,
|
722 |
+
"step": 1000
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.119800332778702,
|
726 |
+
"grad_norm": 0.43658459186553955,
|
727 |
+
"learning_rate": 1.7760266370699223e-05,
|
728 |
+
"loss": 0.0383,
|
729 |
+
"step": 1010
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 1.1308929561841374,
|
733 |
+
"grad_norm": 0.3585101068019867,
|
734 |
+
"learning_rate": 1.7738068812430633e-05,
|
735 |
+
"loss": 0.0401,
|
736 |
+
"step": 1020
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.141985579589573,
|
740 |
+
"grad_norm": 0.5010389089584351,
|
741 |
+
"learning_rate": 1.7715871254162043e-05,
|
742 |
+
"loss": 0.0307,
|
743 |
+
"step": 1030
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.1530782029950084,
|
747 |
+
"grad_norm": 0.6415812969207764,
|
748 |
+
"learning_rate": 1.7693673695893453e-05,
|
749 |
+
"loss": 0.0423,
|
750 |
+
"step": 1040
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 1.1641708264004438,
|
754 |
+
"grad_norm": 0.6393259763717651,
|
755 |
+
"learning_rate": 1.7671476137624862e-05,
|
756 |
+
"loss": 0.0392,
|
757 |
+
"step": 1050
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.1752634498058792,
|
761 |
+
"grad_norm": 0.6339041590690613,
|
762 |
+
"learning_rate": 1.7649278579356272e-05,
|
763 |
+
"loss": 0.0506,
|
764 |
+
"step": 1060
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.1863560732113145,
|
768 |
+
"grad_norm": 0.6086763143539429,
|
769 |
+
"learning_rate": 1.7627081021087682e-05,
|
770 |
+
"loss": 0.0416,
|
771 |
+
"step": 1070
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 1.19744869661675,
|
775 |
+
"grad_norm": 0.6648682355880737,
|
776 |
+
"learning_rate": 1.7604883462819092e-05,
|
777 |
+
"loss": 0.0379,
|
778 |
+
"step": 1080
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 1.2085413200221853,
|
782 |
+
"grad_norm": 0.6018221378326416,
|
783 |
+
"learning_rate": 1.7582685904550502e-05,
|
784 |
+
"loss": 0.0354,
|
785 |
+
"step": 1090
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 1.2196339434276207,
|
789 |
+
"grad_norm": 1.2366654872894287,
|
790 |
+
"learning_rate": 1.756048834628191e-05,
|
791 |
+
"loss": 0.037,
|
792 |
+
"step": 1100
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 1.230726566833056,
|
796 |
+
"grad_norm": 0.5976310968399048,
|
797 |
+
"learning_rate": 1.7538290788013318e-05,
|
798 |
+
"loss": 0.0361,
|
799 |
+
"step": 1110
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 1.2418191902384914,
|
803 |
+
"grad_norm": 0.8290308117866516,
|
804 |
+
"learning_rate": 1.751609322974473e-05,
|
805 |
+
"loss": 0.0383,
|
806 |
+
"step": 1120
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.2529118136439268,
|
810 |
+
"grad_norm": 0.382548987865448,
|
811 |
+
"learning_rate": 1.749389567147614e-05,
|
812 |
+
"loss": 0.0449,
|
813 |
+
"step": 1130
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 1.2640044370493622,
|
817 |
+
"grad_norm": 0.5307976007461548,
|
818 |
+
"learning_rate": 1.7471698113207548e-05,
|
819 |
+
"loss": 0.0364,
|
820 |
+
"step": 1140
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 1.2750970604547975,
|
824 |
+
"grad_norm": 0.5508521795272827,
|
825 |
+
"learning_rate": 1.7449500554938958e-05,
|
826 |
+
"loss": 0.0312,
|
827 |
+
"step": 1150
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 1.286189683860233,
|
831 |
+
"grad_norm": 0.37057268619537354,
|
832 |
+
"learning_rate": 1.7427302996670368e-05,
|
833 |
+
"loss": 0.0397,
|
834 |
+
"step": 1160
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 1.2972823072656683,
|
838 |
+
"grad_norm": 0.4806898236274719,
|
839 |
+
"learning_rate": 1.7405105438401777e-05,
|
840 |
+
"loss": 0.0391,
|
841 |
+
"step": 1170
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 1.3083749306711037,
|
845 |
+
"grad_norm": 0.759772002696991,
|
846 |
+
"learning_rate": 1.7382907880133187e-05,
|
847 |
+
"loss": 0.0322,
|
848 |
+
"step": 1180
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.319467554076539,
|
852 |
+
"grad_norm": 0.39819085597991943,
|
853 |
+
"learning_rate": 1.7360710321864597e-05,
|
854 |
+
"loss": 0.0345,
|
855 |
+
"step": 1190
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 1.3305601774819744,
|
859 |
+
"grad_norm": 0.7733897566795349,
|
860 |
+
"learning_rate": 1.7338512763596004e-05,
|
861 |
+
"loss": 0.0424,
|
862 |
+
"step": 1200
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 1.3416528008874098,
|
866 |
+
"grad_norm": 0.7979075908660889,
|
867 |
+
"learning_rate": 1.7316315205327417e-05,
|
868 |
+
"loss": 0.0403,
|
869 |
+
"step": 1210
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 1.3527454242928454,
|
873 |
+
"grad_norm": 0.5658752918243408,
|
874 |
+
"learning_rate": 1.7294117647058827e-05,
|
875 |
+
"loss": 0.0276,
|
876 |
+
"step": 1220
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 1.3638380476982808,
|
880 |
+
"grad_norm": 0.25207844376564026,
|
881 |
+
"learning_rate": 1.7271920088790237e-05,
|
882 |
+
"loss": 0.0347,
|
883 |
+
"step": 1230
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 1.3749306711037161,
|
887 |
+
"grad_norm": 0.6338945031166077,
|
888 |
+
"learning_rate": 1.7249722530521643e-05,
|
889 |
+
"loss": 0.0416,
|
890 |
+
"step": 1240
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.3860232945091515,
|
894 |
+
"grad_norm": 0.8125913143157959,
|
895 |
+
"learning_rate": 1.7227524972253053e-05,
|
896 |
+
"loss": 0.0442,
|
897 |
+
"step": 1250
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 1.397115917914587,
|
901 |
+
"grad_norm": 0.5067325234413147,
|
902 |
+
"learning_rate": 1.7205327413984463e-05,
|
903 |
+
"loss": 0.0358,
|
904 |
+
"step": 1260
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 1.4082085413200223,
|
908 |
+
"grad_norm": 0.40132638812065125,
|
909 |
+
"learning_rate": 1.7183129855715873e-05,
|
910 |
+
"loss": 0.0303,
|
911 |
+
"step": 1270
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 1.4193011647254576,
|
915 |
+
"grad_norm": 0.6337258815765381,
|
916 |
+
"learning_rate": 1.7160932297447283e-05,
|
917 |
+
"loss": 0.0471,
|
918 |
+
"step": 1280
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 1.430393788130893,
|
922 |
+
"grad_norm": 0.43456393480300903,
|
923 |
+
"learning_rate": 1.713873473917869e-05,
|
924 |
+
"loss": 0.0354,
|
925 |
+
"step": 1290
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 1.4414864115363284,
|
929 |
+
"grad_norm": 0.3291069269180298,
|
930 |
+
"learning_rate": 1.7116537180910102e-05,
|
931 |
+
"loss": 0.0312,
|
932 |
+
"step": 1300
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.4525790349417638,
|
936 |
+
"grad_norm": 0.2960388660430908,
|
937 |
+
"learning_rate": 1.7094339622641512e-05,
|
938 |
+
"loss": 0.0362,
|
939 |
+
"step": 1310
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 1.4636716583471991,
|
943 |
+
"grad_norm": 0.820751428604126,
|
944 |
+
"learning_rate": 1.7072142064372922e-05,
|
945 |
+
"loss": 0.0396,
|
946 |
+
"step": 1320
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 1.4747642817526345,
|
950 |
+
"grad_norm": 0.7335907816886902,
|
951 |
+
"learning_rate": 1.704994450610433e-05,
|
952 |
+
"loss": 0.0386,
|
953 |
+
"step": 1330
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 1.48585690515807,
|
957 |
+
"grad_norm": 0.40592002868652344,
|
958 |
+
"learning_rate": 1.702774694783574e-05,
|
959 |
+
"loss": 0.0358,
|
960 |
+
"step": 1340
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 1.4969495285635053,
|
964 |
+
"grad_norm": 0.6194770336151123,
|
965 |
+
"learning_rate": 1.7005549389567148e-05,
|
966 |
+
"loss": 0.0361,
|
967 |
+
"step": 1350
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 1.5080421519689406,
|
971 |
+
"grad_norm": 0.44590774178504944,
|
972 |
+
"learning_rate": 1.6983351831298558e-05,
|
973 |
+
"loss": 0.033,
|
974 |
+
"step": 1360
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.519134775374376,
|
978 |
+
"grad_norm": 0.5857370495796204,
|
979 |
+
"learning_rate": 1.6961154273029968e-05,
|
980 |
+
"loss": 0.0423,
|
981 |
+
"step": 1370
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 1.5302273987798114,
|
985 |
+
"grad_norm": 0.6809953451156616,
|
986 |
+
"learning_rate": 1.6938956714761378e-05,
|
987 |
+
"loss": 0.0345,
|
988 |
+
"step": 1380
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 1.5413200221852468,
|
992 |
+
"grad_norm": 0.7102778553962708,
|
993 |
+
"learning_rate": 1.6916759156492788e-05,
|
994 |
+
"loss": 0.0372,
|
995 |
+
"step": 1390
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 1.5524126455906821,
|
999 |
+
"grad_norm": 0.31781554222106934,
|
1000 |
+
"learning_rate": 1.6894561598224198e-05,
|
1001 |
+
"loss": 0.032,
|
1002 |
+
"step": 1400
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 1.5635052689961175,
|
1006 |
+
"grad_norm": 0.4304943382740021,
|
1007 |
+
"learning_rate": 1.6872364039955607e-05,
|
1008 |
+
"loss": 0.0375,
|
1009 |
+
"step": 1410
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 1.574597892401553,
|
1013 |
+
"grad_norm": 0.918550968170166,
|
1014 |
+
"learning_rate": 1.6850166481687017e-05,
|
1015 |
+
"loss": 0.0416,
|
1016 |
+
"step": 1420
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 1.5856905158069883,
|
1020 |
+
"grad_norm": 0.722892701625824,
|
1021 |
+
"learning_rate": 1.6827968923418424e-05,
|
1022 |
+
"loss": 0.0359,
|
1023 |
+
"step": 1430
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 1.5967831392124237,
|
1027 |
+
"grad_norm": 0.508703351020813,
|
1028 |
+
"learning_rate": 1.6805771365149834e-05,
|
1029 |
+
"loss": 0.0402,
|
1030 |
+
"step": 1440
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 1.607875762617859,
|
1034 |
+
"grad_norm": 0.4725389778614044,
|
1035 |
+
"learning_rate": 1.6783573806881244e-05,
|
1036 |
+
"loss": 0.0335,
|
1037 |
+
"step": 1450
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 1.6189683860232944,
|
1041 |
+
"grad_norm": 0.4699971079826355,
|
1042 |
+
"learning_rate": 1.6761376248612653e-05,
|
1043 |
+
"loss": 0.0277,
|
1044 |
+
"step": 1460
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 1.6300610094287298,
|
1048 |
+
"grad_norm": 0.775764524936676,
|
1049 |
+
"learning_rate": 1.6739178690344063e-05,
|
1050 |
+
"loss": 0.0333,
|
1051 |
+
"step": 1470
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 1.6411536328341652,
|
1055 |
+
"grad_norm": 0.6115106344223022,
|
1056 |
+
"learning_rate": 1.6716981132075473e-05,
|
1057 |
+
"loss": 0.0301,
|
1058 |
+
"step": 1480
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 1.6522462562396005,
|
1062 |
+
"grad_norm": 0.743077278137207,
|
1063 |
+
"learning_rate": 1.6694783573806883e-05,
|
1064 |
+
"loss": 0.035,
|
1065 |
+
"step": 1490
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 1.663338879645036,
|
1069 |
+
"grad_norm": 0.5189201235771179,
|
1070 |
+
"learning_rate": 1.6672586015538293e-05,
|
1071 |
+
"loss": 0.0475,
|
1072 |
+
"step": 1500
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 1.6744315030504713,
|
1076 |
+
"grad_norm": 0.5089607238769531,
|
1077 |
+
"learning_rate": 1.6650388457269703e-05,
|
1078 |
+
"loss": 0.0377,
|
1079 |
+
"step": 1510
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 1.6855241264559067,
|
1083 |
+
"grad_norm": 0.46067437529563904,
|
1084 |
+
"learning_rate": 1.6628190899001113e-05,
|
1085 |
+
"loss": 0.0297,
|
1086 |
+
"step": 1520
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 1.6966167498613423,
|
1090 |
+
"grad_norm": 0.5661717653274536,
|
1091 |
+
"learning_rate": 1.660599334073252e-05,
|
1092 |
+
"loss": 0.0372,
|
1093 |
+
"step": 1530
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 1.7077093732667776,
|
1097 |
+
"grad_norm": 0.45938414335250854,
|
1098 |
+
"learning_rate": 1.658379578246393e-05,
|
1099 |
+
"loss": 0.0371,
|
1100 |
+
"step": 1540
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 1.718801996672213,
|
1104 |
+
"grad_norm": 0.7390128970146179,
|
1105 |
+
"learning_rate": 1.656159822419534e-05,
|
1106 |
+
"loss": 0.0332,
|
1107 |
+
"step": 1550
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 1.7298946200776484,
|
1111 |
+
"grad_norm": 0.6475571990013123,
|
1112 |
+
"learning_rate": 1.653940066592675e-05,
|
1113 |
+
"loss": 0.0352,
|
1114 |
+
"step": 1560
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 1.7409872434830838,
|
1118 |
+
"grad_norm": 0.8529049754142761,
|
1119 |
+
"learning_rate": 1.651720310765816e-05,
|
1120 |
+
"loss": 0.0386,
|
1121 |
+
"step": 1570
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 1.7520798668885191,
|
1125 |
+
"grad_norm": 0.6980950236320496,
|
1126 |
+
"learning_rate": 1.649500554938957e-05,
|
1127 |
+
"loss": 0.0358,
|
1128 |
+
"step": 1580
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 1.7631724902939545,
|
1132 |
+
"grad_norm": 0.5858293175697327,
|
1133 |
+
"learning_rate": 1.6472807991120978e-05,
|
1134 |
+
"loss": 0.0418,
|
1135 |
+
"step": 1590
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 1.7742651136993899,
|
1139 |
+
"grad_norm": 0.49686577916145325,
|
1140 |
+
"learning_rate": 1.6450610432852388e-05,
|
1141 |
+
"loss": 0.0361,
|
1142 |
+
"step": 1600
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 1.7853577371048253,
|
1146 |
+
"grad_norm": 0.3631349205970764,
|
1147 |
+
"learning_rate": 1.6428412874583798e-05,
|
1148 |
+
"loss": 0.0352,
|
1149 |
+
"step": 1610
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 1.7964503605102606,
|
1153 |
+
"grad_norm": 0.5329940915107727,
|
1154 |
+
"learning_rate": 1.6406215316315204e-05,
|
1155 |
+
"loss": 0.04,
|
1156 |
+
"step": 1620
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 1.807542983915696,
|
1160 |
+
"grad_norm": 0.5995050668716431,
|
1161 |
+
"learning_rate": 1.6384017758046614e-05,
|
1162 |
+
"loss": 0.0368,
|
1163 |
+
"step": 1630
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 1.8186356073211316,
|
1167 |
+
"grad_norm": 1.3379504680633545,
|
1168 |
+
"learning_rate": 1.6361820199778028e-05,
|
1169 |
+
"loss": 0.0397,
|
1170 |
+
"step": 1640
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 1.829728230726567,
|
1174 |
+
"grad_norm": 0.8026002645492554,
|
1175 |
+
"learning_rate": 1.6339622641509437e-05,
|
1176 |
+
"loss": 0.0318,
|
1177 |
+
"step": 1650
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 1.8408208541320024,
|
1181 |
+
"grad_norm": 0.917950451374054,
|
1182 |
+
"learning_rate": 1.6317425083240844e-05,
|
1183 |
+
"loss": 0.0352,
|
1184 |
+
"step": 1660
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 1.8519134775374377,
|
1188 |
+
"grad_norm": 0.6763226389884949,
|
1189 |
+
"learning_rate": 1.6295227524972254e-05,
|
1190 |
+
"loss": 0.0413,
|
1191 |
+
"step": 1670
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 1.8630061009428731,
|
1195 |
+
"grad_norm": 0.5728912949562073,
|
1196 |
+
"learning_rate": 1.6273029966703664e-05,
|
1197 |
+
"loss": 0.0291,
|
1198 |
+
"step": 1680
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 1.8740987243483085,
|
1202 |
+
"grad_norm": 0.6339443325996399,
|
1203 |
+
"learning_rate": 1.6250832408435074e-05,
|
1204 |
+
"loss": 0.0409,
|
1205 |
+
"step": 1690
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 1.8851913477537439,
|
1209 |
+
"grad_norm": 0.6930853128433228,
|
1210 |
+
"learning_rate": 1.6228634850166483e-05,
|
1211 |
+
"loss": 0.0371,
|
1212 |
+
"step": 1700
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 1.8962839711591792,
|
1216 |
+
"grad_norm": 0.37715452909469604,
|
1217 |
+
"learning_rate": 1.6206437291897893e-05,
|
1218 |
+
"loss": 0.031,
|
1219 |
+
"step": 1710
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 1.9073765945646146,
|
1223 |
+
"grad_norm": 0.5656572580337524,
|
1224 |
+
"learning_rate": 1.61842397336293e-05,
|
1225 |
+
"loss": 0.0414,
|
1226 |
+
"step": 1720
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 1.91846921797005,
|
1230 |
+
"grad_norm": 0.3563915491104126,
|
1231 |
+
"learning_rate": 1.6162042175360713e-05,
|
1232 |
+
"loss": 0.0276,
|
1233 |
+
"step": 1730
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 1.9295618413754854,
|
1237 |
+
"grad_norm": 0.8260300159454346,
|
1238 |
+
"learning_rate": 1.6139844617092123e-05,
|
1239 |
+
"loss": 0.0337,
|
1240 |
+
"step": 1740
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 1.9406544647809207,
|
1244 |
+
"grad_norm": 0.6907551884651184,
|
1245 |
+
"learning_rate": 1.6117647058823533e-05,
|
1246 |
+
"loss": 0.031,
|
1247 |
+
"step": 1750
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 1.9517470881863561,
|
1251 |
+
"grad_norm": 0.5782826542854309,
|
1252 |
+
"learning_rate": 1.609544950055494e-05,
|
1253 |
+
"loss": 0.0419,
|
1254 |
+
"step": 1760
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 1.9628397115917915,
|
1258 |
+
"grad_norm": 0.36368125677108765,
|
1259 |
+
"learning_rate": 1.607325194228635e-05,
|
1260 |
+
"loss": 0.0356,
|
1261 |
+
"step": 1770
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 1.9739323349972269,
|
1265 |
+
"grad_norm": 0.369911789894104,
|
1266 |
+
"learning_rate": 1.605105438401776e-05,
|
1267 |
+
"loss": 0.0264,
|
1268 |
+
"step": 1780
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 1.9850249584026622,
|
1272 |
+
"grad_norm": 0.6072190999984741,
|
1273 |
+
"learning_rate": 1.602885682574917e-05,
|
1274 |
+
"loss": 0.0366,
|
1275 |
+
"step": 1790
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 1.9961175818080976,
|
1279 |
+
"grad_norm": 0.9733797311782837,
|
1280 |
+
"learning_rate": 1.600665926748058e-05,
|
1281 |
+
"loss": 0.0371,
|
1282 |
+
"step": 1800
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 2.0,
|
1286 |
+
"eval_accuracy": 0.8973319824383654,
|
1287 |
+
"eval_f1": 0.6872427983539094,
|
1288 |
+
"eval_loss": 0.31070804595947266,
|
1289 |
+
"eval_precision": 0.8166259168704156,
|
1290 |
+
"eval_recall": 0.5932504440497336,
|
1291 |
+
"eval_runtime": 2.7114,
|
1292 |
+
"eval_samples_per_second": 364.014,
|
1293 |
+
"eval_steps_per_second": 11.433,
|
1294 |
+
"step": 1804
|
1295 |
+
}
|
1296 |
+
],
|
1297 |
+
"logging_steps": 10,
|
1298 |
+
"max_steps": 9010,
|
1299 |
+
"num_input_tokens_seen": 0,
|
1300 |
+
"num_train_epochs": 10,
|
1301 |
+
"save_steps": 500,
|
1302 |
+
"stateful_callbacks": {
|
1303 |
+
"TrainerControl": {
|
1304 |
+
"args": {
|
1305 |
+
"should_epoch_stop": false,
|
1306 |
+
"should_evaluate": false,
|
1307 |
+
"should_log": false,
|
1308 |
+
"should_save": true,
|
1309 |
+
"should_training_stop": false
|
1310 |
+
},
|
1311 |
+
"attributes": {}
|
1312 |
+
}
|
1313 |
+
},
|
1314 |
+
"total_flos": 1.9234313503792004e+16,
|
1315 |
+
"train_batch_size": 32,
|
1316 |
+
"trial_name": null,
|
1317 |
+
"trial_params": null
|
1318 |
+
}
|
checkpoint-1804/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e64fe8f815fa80a7291289cde9af3ebb27f62206c40a93e8adf97661cd289de3
|
3 |
+
size 5368
|
checkpoint-2706/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-2706/config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"DebertaV2ForSequenceClassification"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.1,
|
6 |
+
"hidden_act": "gelu",
|
7 |
+
"hidden_dropout_prob": 0.1,
|
8 |
+
"hidden_size": 1024,
|
9 |
+
"id2label": {
|
10 |
+
"0": 0,
|
11 |
+
"1": 1,
|
12 |
+
"2": 2
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 4096,
|
16 |
+
"label2id": {
|
17 |
+
"0": 0,
|
18 |
+
"1": 1,
|
19 |
+
"2": 2
|
20 |
+
},
|
21 |
+
"layer_norm_eps": 1e-07,
|
22 |
+
"legacy": true,
|
23 |
+
"max_position_embeddings": 512,
|
24 |
+
"max_relative_positions": -1,
|
25 |
+
"model_type": "deberta-v2",
|
26 |
+
"norm_rel_ebd": "layer_norm",
|
27 |
+
"num_attention_heads": 16,
|
28 |
+
"num_hidden_layers": 24,
|
29 |
+
"pad_token_id": 0,
|
30 |
+
"pooler_dropout": 0,
|
31 |
+
"pooler_hidden_act": "gelu",
|
32 |
+
"pooler_hidden_size": 1024,
|
33 |
+
"pos_att_type": [
|
34 |
+
"p2c",
|
35 |
+
"c2p"
|
36 |
+
],
|
37 |
+
"position_biased_input": false,
|
38 |
+
"position_buckets": 256,
|
39 |
+
"problem_type": "multi_label_classification",
|
40 |
+
"relative_attention": true,
|
41 |
+
"share_att_key": true,
|
42 |
+
"torch_dtype": "float32",
|
43 |
+
"transformers_version": "4.51.3",
|
44 |
+
"type_vocab_size": 0,
|
45 |
+
"vocab_size": 128100
|
46 |
+
}
|
checkpoint-2706/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f3069d4fd091ef8af49a6aef3ce201d078bcb1f9943f1db9c557bfffcd5a4585
|
3 |
+
size 1740308548
|
checkpoint-2706/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:af34088966ad696d849af1c510cd5173ed2a7fc75b64054de60420b05962c0ae
|
3 |
+
size 3480848432
|
checkpoint-2706/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e7aec63e3c11595a16c72ea2a879b683d39bd91f9e653eaa8d09bf3d5798e951
|
3 |
+
size 14244
|
checkpoint-2706/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2fb444a65f40f002b72e2558a1b56a3a9a379eb0825bd3d6d1de4278b67cac8c
|
3 |
+
size 1064
|
checkpoint-2706/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": {
|
9 |
+
"content": "[UNK]",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": true,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
}
|
15 |
+
}
|
checkpoint-2706/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
checkpoint-2706/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2706/tokenizer_config.json
ADDED
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128000": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": false,
|
46 |
+
"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": false,
|
48 |
+
"eos_token": "[SEP]",
|
49 |
+
"extra_special_tokens": {},
|
50 |
+
"mask_token": "[MASK]",
|
51 |
+
"model_max_length": 1000000000000000019884624838656,
|
52 |
+
"pad_token": "[PAD]",
|
53 |
+
"sep_token": "[SEP]",
|
54 |
+
"sp_model_kwargs": {},
|
55 |
+
"split_by_punct": false,
|
56 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
57 |
+
"unk_token": "[UNK]",
|
58 |
+
"vocab_type": "spm"
|
59 |
+
}
|
checkpoint-2706/trainer_state.json
ADDED
@@ -0,0 +1,1960 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 3.0,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 2706,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.011092623405435386,
|
14 |
+
"grad_norm": 2.009918689727783,
|
15 |
+
"learning_rate": 1.998002219755827e-05,
|
16 |
+
"loss": 0.5022,
|
17 |
+
"step": 10
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.022185246810870772,
|
21 |
+
"grad_norm": 0.49915584921836853,
|
22 |
+
"learning_rate": 1.995782463928968e-05,
|
23 |
+
"loss": 0.1943,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.033277870216306155,
|
28 |
+
"grad_norm": 0.47061625123023987,
|
29 |
+
"learning_rate": 1.993562708102109e-05,
|
30 |
+
"loss": 0.1436,
|
31 |
+
"step": 30
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.044370493621741544,
|
35 |
+
"grad_norm": 0.2260124832391739,
|
36 |
+
"learning_rate": 1.99134295227525e-05,
|
37 |
+
"loss": 0.1106,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.05546311702717693,
|
42 |
+
"grad_norm": 0.31766048073768616,
|
43 |
+
"learning_rate": 1.989123196448391e-05,
|
44 |
+
"loss": 0.0994,
|
45 |
+
"step": 50
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.06655574043261231,
|
49 |
+
"grad_norm": 0.2788391709327698,
|
50 |
+
"learning_rate": 1.9869034406215316e-05,
|
51 |
+
"loss": 0.111,
|
52 |
+
"step": 60
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.0776483638380477,
|
56 |
+
"grad_norm": 0.24376386404037476,
|
57 |
+
"learning_rate": 1.9846836847946726e-05,
|
58 |
+
"loss": 0.0849,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.08874098724348309,
|
63 |
+
"grad_norm": 0.1789788454771042,
|
64 |
+
"learning_rate": 1.982463928967814e-05,
|
65 |
+
"loss": 0.0971,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.09983361064891846,
|
70 |
+
"grad_norm": 0.29698437452316284,
|
71 |
+
"learning_rate": 1.9802441731409546e-05,
|
72 |
+
"loss": 0.0856,
|
73 |
+
"step": 90
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.11092623405435385,
|
77 |
+
"grad_norm": 0.2553412616252899,
|
78 |
+
"learning_rate": 1.9780244173140956e-05,
|
79 |
+
"loss": 0.0976,
|
80 |
+
"step": 100
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.12201885745978924,
|
84 |
+
"grad_norm": 0.20608791708946228,
|
85 |
+
"learning_rate": 1.9758046614872365e-05,
|
86 |
+
"loss": 0.0947,
|
87 |
+
"step": 110
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.13311148086522462,
|
91 |
+
"grad_norm": 0.23551669716835022,
|
92 |
+
"learning_rate": 1.9735849056603775e-05,
|
93 |
+
"loss": 0.0965,
|
94 |
+
"step": 120
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.14420410427066002,
|
98 |
+
"grad_norm": 0.3207148611545563,
|
99 |
+
"learning_rate": 1.9713651498335185e-05,
|
100 |
+
"loss": 0.0931,
|
101 |
+
"step": 130
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.1552967276760954,
|
105 |
+
"grad_norm": 0.34813177585601807,
|
106 |
+
"learning_rate": 1.9691453940066595e-05,
|
107 |
+
"loss": 0.1,
|
108 |
+
"step": 140
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.16638935108153077,
|
112 |
+
"grad_norm": 0.41501104831695557,
|
113 |
+
"learning_rate": 1.9669256381798e-05,
|
114 |
+
"loss": 0.0922,
|
115 |
+
"step": 150
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.17748197448696618,
|
119 |
+
"grad_norm": 0.24550506472587585,
|
120 |
+
"learning_rate": 1.964705882352941e-05,
|
121 |
+
"loss": 0.0857,
|
122 |
+
"step": 160
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.18857459789240155,
|
126 |
+
"grad_norm": 0.4205056130886078,
|
127 |
+
"learning_rate": 1.9624861265260825e-05,
|
128 |
+
"loss": 0.0831,
|
129 |
+
"step": 170
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.19966722129783693,
|
133 |
+
"grad_norm": 0.6002993583679199,
|
134 |
+
"learning_rate": 1.9602663706992235e-05,
|
135 |
+
"loss": 0.0792,
|
136 |
+
"step": 180
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.21075984470327233,
|
140 |
+
"grad_norm": 0.27535638213157654,
|
141 |
+
"learning_rate": 1.958046614872364e-05,
|
142 |
+
"loss": 0.0786,
|
143 |
+
"step": 190
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.2218524681087077,
|
147 |
+
"grad_norm": 0.41602805256843567,
|
148 |
+
"learning_rate": 1.955826859045505e-05,
|
149 |
+
"loss": 0.0789,
|
150 |
+
"step": 200
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.23294509151414308,
|
154 |
+
"grad_norm": 0.41827332973480225,
|
155 |
+
"learning_rate": 1.953607103218646e-05,
|
156 |
+
"loss": 0.0663,
|
157 |
+
"step": 210
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.24403771491957849,
|
161 |
+
"grad_norm": 0.47976112365722656,
|
162 |
+
"learning_rate": 1.951387347391787e-05,
|
163 |
+
"loss": 0.0727,
|
164 |
+
"step": 220
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.25513033832501386,
|
168 |
+
"grad_norm": 0.7771281599998474,
|
169 |
+
"learning_rate": 1.949167591564928e-05,
|
170 |
+
"loss": 0.0776,
|
171 |
+
"step": 230
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.26622296173044924,
|
175 |
+
"grad_norm": 1.0573914051055908,
|
176 |
+
"learning_rate": 1.946947835738069e-05,
|
177 |
+
"loss": 0.0828,
|
178 |
+
"step": 240
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.2773155851358846,
|
182 |
+
"grad_norm": 0.5186040997505188,
|
183 |
+
"learning_rate": 1.9447280799112097e-05,
|
184 |
+
"loss": 0.0767,
|
185 |
+
"step": 250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.28840820854132004,
|
189 |
+
"grad_norm": 0.5594862699508667,
|
190 |
+
"learning_rate": 1.942508324084351e-05,
|
191 |
+
"loss": 0.0699,
|
192 |
+
"step": 260
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.2995008319467554,
|
196 |
+
"grad_norm": 0.5147818922996521,
|
197 |
+
"learning_rate": 1.940288568257492e-05,
|
198 |
+
"loss": 0.0591,
|
199 |
+
"step": 270
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.3105934553521908,
|
203 |
+
"grad_norm": 0.5510437488555908,
|
204 |
+
"learning_rate": 1.938068812430633e-05,
|
205 |
+
"loss": 0.0761,
|
206 |
+
"step": 280
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.32168607875762617,
|
210 |
+
"grad_norm": 0.4817625880241394,
|
211 |
+
"learning_rate": 1.9358490566037736e-05,
|
212 |
+
"loss": 0.0688,
|
213 |
+
"step": 290
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.33277870216306155,
|
217 |
+
"grad_norm": 0.504362940788269,
|
218 |
+
"learning_rate": 1.9336293007769146e-05,
|
219 |
+
"loss": 0.0691,
|
220 |
+
"step": 300
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.343871325568497,
|
224 |
+
"grad_norm": 0.5732384920120239,
|
225 |
+
"learning_rate": 1.9314095449500556e-05,
|
226 |
+
"loss": 0.057,
|
227 |
+
"step": 310
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.35496394897393235,
|
231 |
+
"grad_norm": 0.5892298221588135,
|
232 |
+
"learning_rate": 1.9291897891231966e-05,
|
233 |
+
"loss": 0.059,
|
234 |
+
"step": 320
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.36605657237936773,
|
238 |
+
"grad_norm": 0.3680512309074402,
|
239 |
+
"learning_rate": 1.9269700332963376e-05,
|
240 |
+
"loss": 0.0706,
|
241 |
+
"step": 330
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.3771491957848031,
|
245 |
+
"grad_norm": 0.41971662640571594,
|
246 |
+
"learning_rate": 1.9247502774694786e-05,
|
247 |
+
"loss": 0.053,
|
248 |
+
"step": 340
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.3882418191902385,
|
252 |
+
"grad_norm": 0.37261390686035156,
|
253 |
+
"learning_rate": 1.9225305216426195e-05,
|
254 |
+
"loss": 0.0632,
|
255 |
+
"step": 350
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.39933444259567386,
|
259 |
+
"grad_norm": 0.48256734013557434,
|
260 |
+
"learning_rate": 1.9203107658157605e-05,
|
261 |
+
"loss": 0.0651,
|
262 |
+
"step": 360
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.4104270660011093,
|
266 |
+
"grad_norm": 0.7914339303970337,
|
267 |
+
"learning_rate": 1.9180910099889015e-05,
|
268 |
+
"loss": 0.0659,
|
269 |
+
"step": 370
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.42151968940654466,
|
273 |
+
"grad_norm": 0.6772429347038269,
|
274 |
+
"learning_rate": 1.915871254162042e-05,
|
275 |
+
"loss": 0.0655,
|
276 |
+
"step": 380
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.43261231281198004,
|
280 |
+
"grad_norm": 0.5621687173843384,
|
281 |
+
"learning_rate": 1.913651498335183e-05,
|
282 |
+
"loss": 0.0707,
|
283 |
+
"step": 390
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.4437049362174154,
|
287 |
+
"grad_norm": 0.30515748262405396,
|
288 |
+
"learning_rate": 1.911431742508324e-05,
|
289 |
+
"loss": 0.0548,
|
290 |
+
"step": 400
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.4547975596228508,
|
294 |
+
"grad_norm": 0.5506859421730042,
|
295 |
+
"learning_rate": 1.909211986681465e-05,
|
296 |
+
"loss": 0.0554,
|
297 |
+
"step": 410
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.46589018302828616,
|
301 |
+
"grad_norm": 0.6387749314308167,
|
302 |
+
"learning_rate": 1.906992230854606e-05,
|
303 |
+
"loss": 0.0554,
|
304 |
+
"step": 420
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.4769828064337216,
|
308 |
+
"grad_norm": 0.18500734865665436,
|
309 |
+
"learning_rate": 1.904772475027747e-05,
|
310 |
+
"loss": 0.0558,
|
311 |
+
"step": 430
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.48807542983915697,
|
315 |
+
"grad_norm": 0.6815407276153564,
|
316 |
+
"learning_rate": 1.902552719200888e-05,
|
317 |
+
"loss": 0.0537,
|
318 |
+
"step": 440
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.49916805324459235,
|
322 |
+
"grad_norm": 0.4826994836330414,
|
323 |
+
"learning_rate": 1.900332963374029e-05,
|
324 |
+
"loss": 0.0567,
|
325 |
+
"step": 450
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.5102606766500277,
|
329 |
+
"grad_norm": 0.24618124961853027,
|
330 |
+
"learning_rate": 1.89811320754717e-05,
|
331 |
+
"loss": 0.0614,
|
332 |
+
"step": 460
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.5213533000554631,
|
336 |
+
"grad_norm": 1.0037415027618408,
|
337 |
+
"learning_rate": 1.895893451720311e-05,
|
338 |
+
"loss": 0.0604,
|
339 |
+
"step": 470
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.5324459234608985,
|
343 |
+
"grad_norm": 0.6000948548316956,
|
344 |
+
"learning_rate": 1.8936736958934517e-05,
|
345 |
+
"loss": 0.0683,
|
346 |
+
"step": 480
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.5435385468663338,
|
350 |
+
"grad_norm": 0.3302474319934845,
|
351 |
+
"learning_rate": 1.8914539400665927e-05,
|
352 |
+
"loss": 0.0543,
|
353 |
+
"step": 490
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.5546311702717692,
|
357 |
+
"grad_norm": 0.5560783743858337,
|
358 |
+
"learning_rate": 1.8892341842397337e-05,
|
359 |
+
"loss": 0.0569,
|
360 |
+
"step": 500
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.5657237936772047,
|
364 |
+
"grad_norm": 0.8041097521781921,
|
365 |
+
"learning_rate": 1.8870144284128747e-05,
|
366 |
+
"loss": 0.0544,
|
367 |
+
"step": 510
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.5768164170826401,
|
371 |
+
"grad_norm": 0.6846103668212891,
|
372 |
+
"learning_rate": 1.8847946725860156e-05,
|
373 |
+
"loss": 0.058,
|
374 |
+
"step": 520
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.5879090404880755,
|
378 |
+
"grad_norm": 0.50434809923172,
|
379 |
+
"learning_rate": 1.8825749167591566e-05,
|
380 |
+
"loss": 0.0654,
|
381 |
+
"step": 530
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.5990016638935108,
|
385 |
+
"grad_norm": 0.54362553358078,
|
386 |
+
"learning_rate": 1.8803551609322976e-05,
|
387 |
+
"loss": 0.0582,
|
388 |
+
"step": 540
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.6100942872989462,
|
392 |
+
"grad_norm": 0.6166839599609375,
|
393 |
+
"learning_rate": 1.8781354051054386e-05,
|
394 |
+
"loss": 0.0672,
|
395 |
+
"step": 550
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.6211869107043816,
|
399 |
+
"grad_norm": 0.4353054165840149,
|
400 |
+
"learning_rate": 1.8759156492785796e-05,
|
401 |
+
"loss": 0.0532,
|
402 |
+
"step": 560
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.632279534109817,
|
406 |
+
"grad_norm": 0.6025580167770386,
|
407 |
+
"learning_rate": 1.8736958934517206e-05,
|
408 |
+
"loss": 0.0746,
|
409 |
+
"step": 570
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.6433721575152523,
|
413 |
+
"grad_norm": 0.7259892225265503,
|
414 |
+
"learning_rate": 1.8714761376248612e-05,
|
415 |
+
"loss": 0.0642,
|
416 |
+
"step": 580
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.6544647809206877,
|
420 |
+
"grad_norm": 0.4940318465232849,
|
421 |
+
"learning_rate": 1.8692563817980022e-05,
|
422 |
+
"loss": 0.0547,
|
423 |
+
"step": 590
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.6655574043261231,
|
427 |
+
"grad_norm": 0.7005699872970581,
|
428 |
+
"learning_rate": 1.8670366259711435e-05,
|
429 |
+
"loss": 0.0522,
|
430 |
+
"step": 600
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.6766500277315585,
|
434 |
+
"grad_norm": 0.4530707895755768,
|
435 |
+
"learning_rate": 1.8648168701442845e-05,
|
436 |
+
"loss": 0.054,
|
437 |
+
"step": 610
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.687742651136994,
|
441 |
+
"grad_norm": 0.9097110629081726,
|
442 |
+
"learning_rate": 1.8625971143174252e-05,
|
443 |
+
"loss": 0.0622,
|
444 |
+
"step": 620
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.6988352745424293,
|
448 |
+
"grad_norm": 0.5374599695205688,
|
449 |
+
"learning_rate": 1.860377358490566e-05,
|
450 |
+
"loss": 0.0522,
|
451 |
+
"step": 630
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.7099278979478647,
|
455 |
+
"grad_norm": 0.3849945664405823,
|
456 |
+
"learning_rate": 1.858157602663707e-05,
|
457 |
+
"loss": 0.0571,
|
458 |
+
"step": 640
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.7210205213533001,
|
462 |
+
"grad_norm": 0.5918008685112,
|
463 |
+
"learning_rate": 1.855937846836848e-05,
|
464 |
+
"loss": 0.0576,
|
465 |
+
"step": 650
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.7321131447587355,
|
469 |
+
"grad_norm": 0.3229956030845642,
|
470 |
+
"learning_rate": 1.853718091009989e-05,
|
471 |
+
"loss": 0.0537,
|
472 |
+
"step": 660
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.7432057681641708,
|
476 |
+
"grad_norm": 0.5264039039611816,
|
477 |
+
"learning_rate": 1.85149833518313e-05,
|
478 |
+
"loss": 0.06,
|
479 |
+
"step": 670
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.7542983915696062,
|
483 |
+
"grad_norm": 0.36795660853385925,
|
484 |
+
"learning_rate": 1.8492785793562708e-05,
|
485 |
+
"loss": 0.0511,
|
486 |
+
"step": 680
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.7653910149750416,
|
490 |
+
"grad_norm": 0.5905130505561829,
|
491 |
+
"learning_rate": 1.847058823529412e-05,
|
492 |
+
"loss": 0.0636,
|
493 |
+
"step": 690
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.776483638380477,
|
497 |
+
"grad_norm": 0.36266571283340454,
|
498 |
+
"learning_rate": 1.844839067702553e-05,
|
499 |
+
"loss": 0.0598,
|
500 |
+
"step": 700
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.7875762617859123,
|
504 |
+
"grad_norm": 0.4978592097759247,
|
505 |
+
"learning_rate": 1.8426193118756937e-05,
|
506 |
+
"loss": 0.0607,
|
507 |
+
"step": 710
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.7986688851913477,
|
511 |
+
"grad_norm": 0.4635021686553955,
|
512 |
+
"learning_rate": 1.8403995560488347e-05,
|
513 |
+
"loss": 0.0543,
|
514 |
+
"step": 720
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.8097615085967831,
|
518 |
+
"grad_norm": 0.44571858644485474,
|
519 |
+
"learning_rate": 1.8381798002219757e-05,
|
520 |
+
"loss": 0.0678,
|
521 |
+
"step": 730
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.8208541320022186,
|
525 |
+
"grad_norm": 0.8265877366065979,
|
526 |
+
"learning_rate": 1.8359600443951167e-05,
|
527 |
+
"loss": 0.0552,
|
528 |
+
"step": 740
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.831946755407654,
|
532 |
+
"grad_norm": 0.5776472091674805,
|
533 |
+
"learning_rate": 1.8337402885682577e-05,
|
534 |
+
"loss": 0.0505,
|
535 |
+
"step": 750
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.8430393788130893,
|
539 |
+
"grad_norm": 0.299274742603302,
|
540 |
+
"learning_rate": 1.8315205327413986e-05,
|
541 |
+
"loss": 0.0619,
|
542 |
+
"step": 760
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.8541320022185247,
|
546 |
+
"grad_norm": 0.587645947933197,
|
547 |
+
"learning_rate": 1.8293007769145393e-05,
|
548 |
+
"loss": 0.0575,
|
549 |
+
"step": 770
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.8652246256239601,
|
553 |
+
"grad_norm": 0.39164137840270996,
|
554 |
+
"learning_rate": 1.8270810210876806e-05,
|
555 |
+
"loss": 0.0458,
|
556 |
+
"step": 780
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.8763172490293955,
|
560 |
+
"grad_norm": 0.4663292169570923,
|
561 |
+
"learning_rate": 1.8248612652608216e-05,
|
562 |
+
"loss": 0.048,
|
563 |
+
"step": 790
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.8874098724348308,
|
567 |
+
"grad_norm": 0.5804581642150879,
|
568 |
+
"learning_rate": 1.8226415094339626e-05,
|
569 |
+
"loss": 0.0557,
|
570 |
+
"step": 800
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.8985024958402662,
|
574 |
+
"grad_norm": 0.4279440939426422,
|
575 |
+
"learning_rate": 1.8204217536071032e-05,
|
576 |
+
"loss": 0.051,
|
577 |
+
"step": 810
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.9095951192457016,
|
581 |
+
"grad_norm": 0.5384302735328674,
|
582 |
+
"learning_rate": 1.8182019977802442e-05,
|
583 |
+
"loss": 0.0558,
|
584 |
+
"step": 820
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.920687742651137,
|
588 |
+
"grad_norm": 0.5049973726272583,
|
589 |
+
"learning_rate": 1.8159822419533852e-05,
|
590 |
+
"loss": 0.047,
|
591 |
+
"step": 830
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.9317803660565723,
|
595 |
+
"grad_norm": 0.8061177134513855,
|
596 |
+
"learning_rate": 1.8137624861265262e-05,
|
597 |
+
"loss": 0.0572,
|
598 |
+
"step": 840
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.9428729894620078,
|
602 |
+
"grad_norm": 0.6056540012359619,
|
603 |
+
"learning_rate": 1.8115427302996672e-05,
|
604 |
+
"loss": 0.0539,
|
605 |
+
"step": 850
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.9539656128674432,
|
609 |
+
"grad_norm": 0.3001384139060974,
|
610 |
+
"learning_rate": 1.8093229744728082e-05,
|
611 |
+
"loss": 0.053,
|
612 |
+
"step": 860
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.9650582362728786,
|
616 |
+
"grad_norm": 0.6709749102592468,
|
617 |
+
"learning_rate": 1.807103218645949e-05,
|
618 |
+
"loss": 0.0526,
|
619 |
+
"step": 870
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.9761508596783139,
|
623 |
+
"grad_norm": 0.8233507871627808,
|
624 |
+
"learning_rate": 1.80488346281909e-05,
|
625 |
+
"loss": 0.0621,
|
626 |
+
"step": 880
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.9872434830837493,
|
630 |
+
"grad_norm": 0.5757150650024414,
|
631 |
+
"learning_rate": 1.802663706992231e-05,
|
632 |
+
"loss": 0.0546,
|
633 |
+
"step": 890
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.9983361064891847,
|
637 |
+
"grad_norm": 0.6834889054298401,
|
638 |
+
"learning_rate": 1.800443951165372e-05,
|
639 |
+
"loss": 0.0462,
|
640 |
+
"step": 900
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.0,
|
644 |
+
"eval_accuracy": 0.8720027017899359,
|
645 |
+
"eval_f1": 0.5678449258836944,
|
646 |
+
"eval_loss": 0.34414270520210266,
|
647 |
+
"eval_precision": 0.7929936305732485,
|
648 |
+
"eval_recall": 0.4422735346358792,
|
649 |
+
"eval_runtime": 2.727,
|
650 |
+
"eval_samples_per_second": 361.937,
|
651 |
+
"eval_steps_per_second": 11.368,
|
652 |
+
"step": 902
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.0088740987243483,
|
656 |
+
"grad_norm": 0.4411003887653351,
|
657 |
+
"learning_rate": 1.7982241953385128e-05,
|
658 |
+
"loss": 0.0312,
|
659 |
+
"step": 910
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.0199667221297837,
|
663 |
+
"grad_norm": 0.40500083565711975,
|
664 |
+
"learning_rate": 1.7960044395116538e-05,
|
665 |
+
"loss": 0.0345,
|
666 |
+
"step": 920
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.031059345535219,
|
670 |
+
"grad_norm": 0.9287449717521667,
|
671 |
+
"learning_rate": 1.7937846836847947e-05,
|
672 |
+
"loss": 0.0419,
|
673 |
+
"step": 930
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 1.0421519689406544,
|
677 |
+
"grad_norm": 0.7969145178794861,
|
678 |
+
"learning_rate": 1.7915649278579357e-05,
|
679 |
+
"loss": 0.042,
|
680 |
+
"step": 940
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.0532445923460898,
|
684 |
+
"grad_norm": 0.49280259013175964,
|
685 |
+
"learning_rate": 1.7893451720310767e-05,
|
686 |
+
"loss": 0.0427,
|
687 |
+
"step": 950
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 1.0643372157515252,
|
691 |
+
"grad_norm": 1.1647624969482422,
|
692 |
+
"learning_rate": 1.7871254162042177e-05,
|
693 |
+
"loss": 0.0341,
|
694 |
+
"step": 960
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.0754298391569606,
|
698 |
+
"grad_norm": 0.2908968925476074,
|
699 |
+
"learning_rate": 1.7849056603773587e-05,
|
700 |
+
"loss": 0.0389,
|
701 |
+
"step": 970
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.086522462562396,
|
705 |
+
"grad_norm": 0.521218478679657,
|
706 |
+
"learning_rate": 1.7826859045504997e-05,
|
707 |
+
"loss": 0.0396,
|
708 |
+
"step": 980
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.0976150859678313,
|
712 |
+
"grad_norm": 0.4156598150730133,
|
713 |
+
"learning_rate": 1.7804661487236407e-05,
|
714 |
+
"loss": 0.0359,
|
715 |
+
"step": 990
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 1.1087077093732667,
|
719 |
+
"grad_norm": 0.7260242104530334,
|
720 |
+
"learning_rate": 1.7782463928967813e-05,
|
721 |
+
"loss": 0.0384,
|
722 |
+
"step": 1000
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.119800332778702,
|
726 |
+
"grad_norm": 0.43658459186553955,
|
727 |
+
"learning_rate": 1.7760266370699223e-05,
|
728 |
+
"loss": 0.0383,
|
729 |
+
"step": 1010
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 1.1308929561841374,
|
733 |
+
"grad_norm": 0.3585101068019867,
|
734 |
+
"learning_rate": 1.7738068812430633e-05,
|
735 |
+
"loss": 0.0401,
|
736 |
+
"step": 1020
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.141985579589573,
|
740 |
+
"grad_norm": 0.5010389089584351,
|
741 |
+
"learning_rate": 1.7715871254162043e-05,
|
742 |
+
"loss": 0.0307,
|
743 |
+
"step": 1030
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.1530782029950084,
|
747 |
+
"grad_norm": 0.6415812969207764,
|
748 |
+
"learning_rate": 1.7693673695893453e-05,
|
749 |
+
"loss": 0.0423,
|
750 |
+
"step": 1040
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 1.1641708264004438,
|
754 |
+
"grad_norm": 0.6393259763717651,
|
755 |
+
"learning_rate": 1.7671476137624862e-05,
|
756 |
+
"loss": 0.0392,
|
757 |
+
"step": 1050
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.1752634498058792,
|
761 |
+
"grad_norm": 0.6339041590690613,
|
762 |
+
"learning_rate": 1.7649278579356272e-05,
|
763 |
+
"loss": 0.0506,
|
764 |
+
"step": 1060
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.1863560732113145,
|
768 |
+
"grad_norm": 0.6086763143539429,
|
769 |
+
"learning_rate": 1.7627081021087682e-05,
|
770 |
+
"loss": 0.0416,
|
771 |
+
"step": 1070
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 1.19744869661675,
|
775 |
+
"grad_norm": 0.6648682355880737,
|
776 |
+
"learning_rate": 1.7604883462819092e-05,
|
777 |
+
"loss": 0.0379,
|
778 |
+
"step": 1080
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 1.2085413200221853,
|
782 |
+
"grad_norm": 0.6018221378326416,
|
783 |
+
"learning_rate": 1.7582685904550502e-05,
|
784 |
+
"loss": 0.0354,
|
785 |
+
"step": 1090
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 1.2196339434276207,
|
789 |
+
"grad_norm": 1.2366654872894287,
|
790 |
+
"learning_rate": 1.756048834628191e-05,
|
791 |
+
"loss": 0.037,
|
792 |
+
"step": 1100
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 1.230726566833056,
|
796 |
+
"grad_norm": 0.5976310968399048,
|
797 |
+
"learning_rate": 1.7538290788013318e-05,
|
798 |
+
"loss": 0.0361,
|
799 |
+
"step": 1110
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 1.2418191902384914,
|
803 |
+
"grad_norm": 0.8290308117866516,
|
804 |
+
"learning_rate": 1.751609322974473e-05,
|
805 |
+
"loss": 0.0383,
|
806 |
+
"step": 1120
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.2529118136439268,
|
810 |
+
"grad_norm": 0.382548987865448,
|
811 |
+
"learning_rate": 1.749389567147614e-05,
|
812 |
+
"loss": 0.0449,
|
813 |
+
"step": 1130
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 1.2640044370493622,
|
817 |
+
"grad_norm": 0.5307976007461548,
|
818 |
+
"learning_rate": 1.7471698113207548e-05,
|
819 |
+
"loss": 0.0364,
|
820 |
+
"step": 1140
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 1.2750970604547975,
|
824 |
+
"grad_norm": 0.5508521795272827,
|
825 |
+
"learning_rate": 1.7449500554938958e-05,
|
826 |
+
"loss": 0.0312,
|
827 |
+
"step": 1150
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 1.286189683860233,
|
831 |
+
"grad_norm": 0.37057268619537354,
|
832 |
+
"learning_rate": 1.7427302996670368e-05,
|
833 |
+
"loss": 0.0397,
|
834 |
+
"step": 1160
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 1.2972823072656683,
|
838 |
+
"grad_norm": 0.4806898236274719,
|
839 |
+
"learning_rate": 1.7405105438401777e-05,
|
840 |
+
"loss": 0.0391,
|
841 |
+
"step": 1170
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 1.3083749306711037,
|
845 |
+
"grad_norm": 0.759772002696991,
|
846 |
+
"learning_rate": 1.7382907880133187e-05,
|
847 |
+
"loss": 0.0322,
|
848 |
+
"step": 1180
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.319467554076539,
|
852 |
+
"grad_norm": 0.39819085597991943,
|
853 |
+
"learning_rate": 1.7360710321864597e-05,
|
854 |
+
"loss": 0.0345,
|
855 |
+
"step": 1190
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 1.3305601774819744,
|
859 |
+
"grad_norm": 0.7733897566795349,
|
860 |
+
"learning_rate": 1.7338512763596004e-05,
|
861 |
+
"loss": 0.0424,
|
862 |
+
"step": 1200
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 1.3416528008874098,
|
866 |
+
"grad_norm": 0.7979075908660889,
|
867 |
+
"learning_rate": 1.7316315205327417e-05,
|
868 |
+
"loss": 0.0403,
|
869 |
+
"step": 1210
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 1.3527454242928454,
|
873 |
+
"grad_norm": 0.5658752918243408,
|
874 |
+
"learning_rate": 1.7294117647058827e-05,
|
875 |
+
"loss": 0.0276,
|
876 |
+
"step": 1220
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 1.3638380476982808,
|
880 |
+
"grad_norm": 0.25207844376564026,
|
881 |
+
"learning_rate": 1.7271920088790237e-05,
|
882 |
+
"loss": 0.0347,
|
883 |
+
"step": 1230
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 1.3749306711037161,
|
887 |
+
"grad_norm": 0.6338945031166077,
|
888 |
+
"learning_rate": 1.7249722530521643e-05,
|
889 |
+
"loss": 0.0416,
|
890 |
+
"step": 1240
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.3860232945091515,
|
894 |
+
"grad_norm": 0.8125913143157959,
|
895 |
+
"learning_rate": 1.7227524972253053e-05,
|
896 |
+
"loss": 0.0442,
|
897 |
+
"step": 1250
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 1.397115917914587,
|
901 |
+
"grad_norm": 0.5067325234413147,
|
902 |
+
"learning_rate": 1.7205327413984463e-05,
|
903 |
+
"loss": 0.0358,
|
904 |
+
"step": 1260
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 1.4082085413200223,
|
908 |
+
"grad_norm": 0.40132638812065125,
|
909 |
+
"learning_rate": 1.7183129855715873e-05,
|
910 |
+
"loss": 0.0303,
|
911 |
+
"step": 1270
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 1.4193011647254576,
|
915 |
+
"grad_norm": 0.6337258815765381,
|
916 |
+
"learning_rate": 1.7160932297447283e-05,
|
917 |
+
"loss": 0.0471,
|
918 |
+
"step": 1280
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 1.430393788130893,
|
922 |
+
"grad_norm": 0.43456393480300903,
|
923 |
+
"learning_rate": 1.713873473917869e-05,
|
924 |
+
"loss": 0.0354,
|
925 |
+
"step": 1290
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 1.4414864115363284,
|
929 |
+
"grad_norm": 0.3291069269180298,
|
930 |
+
"learning_rate": 1.7116537180910102e-05,
|
931 |
+
"loss": 0.0312,
|
932 |
+
"step": 1300
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.4525790349417638,
|
936 |
+
"grad_norm": 0.2960388660430908,
|
937 |
+
"learning_rate": 1.7094339622641512e-05,
|
938 |
+
"loss": 0.0362,
|
939 |
+
"step": 1310
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 1.4636716583471991,
|
943 |
+
"grad_norm": 0.820751428604126,
|
944 |
+
"learning_rate": 1.7072142064372922e-05,
|
945 |
+
"loss": 0.0396,
|
946 |
+
"step": 1320
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 1.4747642817526345,
|
950 |
+
"grad_norm": 0.7335907816886902,
|
951 |
+
"learning_rate": 1.704994450610433e-05,
|
952 |
+
"loss": 0.0386,
|
953 |
+
"step": 1330
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 1.48585690515807,
|
957 |
+
"grad_norm": 0.40592002868652344,
|
958 |
+
"learning_rate": 1.702774694783574e-05,
|
959 |
+
"loss": 0.0358,
|
960 |
+
"step": 1340
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 1.4969495285635053,
|
964 |
+
"grad_norm": 0.6194770336151123,
|
965 |
+
"learning_rate": 1.7005549389567148e-05,
|
966 |
+
"loss": 0.0361,
|
967 |
+
"step": 1350
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 1.5080421519689406,
|
971 |
+
"grad_norm": 0.44590774178504944,
|
972 |
+
"learning_rate": 1.6983351831298558e-05,
|
973 |
+
"loss": 0.033,
|
974 |
+
"step": 1360
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.519134775374376,
|
978 |
+
"grad_norm": 0.5857370495796204,
|
979 |
+
"learning_rate": 1.6961154273029968e-05,
|
980 |
+
"loss": 0.0423,
|
981 |
+
"step": 1370
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 1.5302273987798114,
|
985 |
+
"grad_norm": 0.6809953451156616,
|
986 |
+
"learning_rate": 1.6938956714761378e-05,
|
987 |
+
"loss": 0.0345,
|
988 |
+
"step": 1380
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 1.5413200221852468,
|
992 |
+
"grad_norm": 0.7102778553962708,
|
993 |
+
"learning_rate": 1.6916759156492788e-05,
|
994 |
+
"loss": 0.0372,
|
995 |
+
"step": 1390
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 1.5524126455906821,
|
999 |
+
"grad_norm": 0.31781554222106934,
|
1000 |
+
"learning_rate": 1.6894561598224198e-05,
|
1001 |
+
"loss": 0.032,
|
1002 |
+
"step": 1400
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 1.5635052689961175,
|
1006 |
+
"grad_norm": 0.4304943382740021,
|
1007 |
+
"learning_rate": 1.6872364039955607e-05,
|
1008 |
+
"loss": 0.0375,
|
1009 |
+
"step": 1410
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 1.574597892401553,
|
1013 |
+
"grad_norm": 0.918550968170166,
|
1014 |
+
"learning_rate": 1.6850166481687017e-05,
|
1015 |
+
"loss": 0.0416,
|
1016 |
+
"step": 1420
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 1.5856905158069883,
|
1020 |
+
"grad_norm": 0.722892701625824,
|
1021 |
+
"learning_rate": 1.6827968923418424e-05,
|
1022 |
+
"loss": 0.0359,
|
1023 |
+
"step": 1430
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 1.5967831392124237,
|
1027 |
+
"grad_norm": 0.508703351020813,
|
1028 |
+
"learning_rate": 1.6805771365149834e-05,
|
1029 |
+
"loss": 0.0402,
|
1030 |
+
"step": 1440
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 1.607875762617859,
|
1034 |
+
"grad_norm": 0.4725389778614044,
|
1035 |
+
"learning_rate": 1.6783573806881244e-05,
|
1036 |
+
"loss": 0.0335,
|
1037 |
+
"step": 1450
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 1.6189683860232944,
|
1041 |
+
"grad_norm": 0.4699971079826355,
|
1042 |
+
"learning_rate": 1.6761376248612653e-05,
|
1043 |
+
"loss": 0.0277,
|
1044 |
+
"step": 1460
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 1.6300610094287298,
|
1048 |
+
"grad_norm": 0.775764524936676,
|
1049 |
+
"learning_rate": 1.6739178690344063e-05,
|
1050 |
+
"loss": 0.0333,
|
1051 |
+
"step": 1470
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 1.6411536328341652,
|
1055 |
+
"grad_norm": 0.6115106344223022,
|
1056 |
+
"learning_rate": 1.6716981132075473e-05,
|
1057 |
+
"loss": 0.0301,
|
1058 |
+
"step": 1480
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 1.6522462562396005,
|
1062 |
+
"grad_norm": 0.743077278137207,
|
1063 |
+
"learning_rate": 1.6694783573806883e-05,
|
1064 |
+
"loss": 0.035,
|
1065 |
+
"step": 1490
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 1.663338879645036,
|
1069 |
+
"grad_norm": 0.5189201235771179,
|
1070 |
+
"learning_rate": 1.6672586015538293e-05,
|
1071 |
+
"loss": 0.0475,
|
1072 |
+
"step": 1500
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 1.6744315030504713,
|
1076 |
+
"grad_norm": 0.5089607238769531,
|
1077 |
+
"learning_rate": 1.6650388457269703e-05,
|
1078 |
+
"loss": 0.0377,
|
1079 |
+
"step": 1510
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 1.6855241264559067,
|
1083 |
+
"grad_norm": 0.46067437529563904,
|
1084 |
+
"learning_rate": 1.6628190899001113e-05,
|
1085 |
+
"loss": 0.0297,
|
1086 |
+
"step": 1520
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 1.6966167498613423,
|
1090 |
+
"grad_norm": 0.5661717653274536,
|
1091 |
+
"learning_rate": 1.660599334073252e-05,
|
1092 |
+
"loss": 0.0372,
|
1093 |
+
"step": 1530
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 1.7077093732667776,
|
1097 |
+
"grad_norm": 0.45938414335250854,
|
1098 |
+
"learning_rate": 1.658379578246393e-05,
|
1099 |
+
"loss": 0.0371,
|
1100 |
+
"step": 1540
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 1.718801996672213,
|
1104 |
+
"grad_norm": 0.7390128970146179,
|
1105 |
+
"learning_rate": 1.656159822419534e-05,
|
1106 |
+
"loss": 0.0332,
|
1107 |
+
"step": 1550
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 1.7298946200776484,
|
1111 |
+
"grad_norm": 0.6475571990013123,
|
1112 |
+
"learning_rate": 1.653940066592675e-05,
|
1113 |
+
"loss": 0.0352,
|
1114 |
+
"step": 1560
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 1.7409872434830838,
|
1118 |
+
"grad_norm": 0.8529049754142761,
|
1119 |
+
"learning_rate": 1.651720310765816e-05,
|
1120 |
+
"loss": 0.0386,
|
1121 |
+
"step": 1570
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 1.7520798668885191,
|
1125 |
+
"grad_norm": 0.6980950236320496,
|
1126 |
+
"learning_rate": 1.649500554938957e-05,
|
1127 |
+
"loss": 0.0358,
|
1128 |
+
"step": 1580
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 1.7631724902939545,
|
1132 |
+
"grad_norm": 0.5858293175697327,
|
1133 |
+
"learning_rate": 1.6472807991120978e-05,
|
1134 |
+
"loss": 0.0418,
|
1135 |
+
"step": 1590
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 1.7742651136993899,
|
1139 |
+
"grad_norm": 0.49686577916145325,
|
1140 |
+
"learning_rate": 1.6450610432852388e-05,
|
1141 |
+
"loss": 0.0361,
|
1142 |
+
"step": 1600
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 1.7853577371048253,
|
1146 |
+
"grad_norm": 0.3631349205970764,
|
1147 |
+
"learning_rate": 1.6428412874583798e-05,
|
1148 |
+
"loss": 0.0352,
|
1149 |
+
"step": 1610
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 1.7964503605102606,
|
1153 |
+
"grad_norm": 0.5329940915107727,
|
1154 |
+
"learning_rate": 1.6406215316315204e-05,
|
1155 |
+
"loss": 0.04,
|
1156 |
+
"step": 1620
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 1.807542983915696,
|
1160 |
+
"grad_norm": 0.5995050668716431,
|
1161 |
+
"learning_rate": 1.6384017758046614e-05,
|
1162 |
+
"loss": 0.0368,
|
1163 |
+
"step": 1630
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 1.8186356073211316,
|
1167 |
+
"grad_norm": 1.3379504680633545,
|
1168 |
+
"learning_rate": 1.6361820199778028e-05,
|
1169 |
+
"loss": 0.0397,
|
1170 |
+
"step": 1640
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 1.829728230726567,
|
1174 |
+
"grad_norm": 0.8026002645492554,
|
1175 |
+
"learning_rate": 1.6339622641509437e-05,
|
1176 |
+
"loss": 0.0318,
|
1177 |
+
"step": 1650
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 1.8408208541320024,
|
1181 |
+
"grad_norm": 0.917950451374054,
|
1182 |
+
"learning_rate": 1.6317425083240844e-05,
|
1183 |
+
"loss": 0.0352,
|
1184 |
+
"step": 1660
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 1.8519134775374377,
|
1188 |
+
"grad_norm": 0.6763226389884949,
|
1189 |
+
"learning_rate": 1.6295227524972254e-05,
|
1190 |
+
"loss": 0.0413,
|
1191 |
+
"step": 1670
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 1.8630061009428731,
|
1195 |
+
"grad_norm": 0.5728912949562073,
|
1196 |
+
"learning_rate": 1.6273029966703664e-05,
|
1197 |
+
"loss": 0.0291,
|
1198 |
+
"step": 1680
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 1.8740987243483085,
|
1202 |
+
"grad_norm": 0.6339443325996399,
|
1203 |
+
"learning_rate": 1.6250832408435074e-05,
|
1204 |
+
"loss": 0.0409,
|
1205 |
+
"step": 1690
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 1.8851913477537439,
|
1209 |
+
"grad_norm": 0.6930853128433228,
|
1210 |
+
"learning_rate": 1.6228634850166483e-05,
|
1211 |
+
"loss": 0.0371,
|
1212 |
+
"step": 1700
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 1.8962839711591792,
|
1216 |
+
"grad_norm": 0.37715452909469604,
|
1217 |
+
"learning_rate": 1.6206437291897893e-05,
|
1218 |
+
"loss": 0.031,
|
1219 |
+
"step": 1710
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 1.9073765945646146,
|
1223 |
+
"grad_norm": 0.5656572580337524,
|
1224 |
+
"learning_rate": 1.61842397336293e-05,
|
1225 |
+
"loss": 0.0414,
|
1226 |
+
"step": 1720
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 1.91846921797005,
|
1230 |
+
"grad_norm": 0.3563915491104126,
|
1231 |
+
"learning_rate": 1.6162042175360713e-05,
|
1232 |
+
"loss": 0.0276,
|
1233 |
+
"step": 1730
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 1.9295618413754854,
|
1237 |
+
"grad_norm": 0.8260300159454346,
|
1238 |
+
"learning_rate": 1.6139844617092123e-05,
|
1239 |
+
"loss": 0.0337,
|
1240 |
+
"step": 1740
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 1.9406544647809207,
|
1244 |
+
"grad_norm": 0.6907551884651184,
|
1245 |
+
"learning_rate": 1.6117647058823533e-05,
|
1246 |
+
"loss": 0.031,
|
1247 |
+
"step": 1750
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 1.9517470881863561,
|
1251 |
+
"grad_norm": 0.5782826542854309,
|
1252 |
+
"learning_rate": 1.609544950055494e-05,
|
1253 |
+
"loss": 0.0419,
|
1254 |
+
"step": 1760
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 1.9628397115917915,
|
1258 |
+
"grad_norm": 0.36368125677108765,
|
1259 |
+
"learning_rate": 1.607325194228635e-05,
|
1260 |
+
"loss": 0.0356,
|
1261 |
+
"step": 1770
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 1.9739323349972269,
|
1265 |
+
"grad_norm": 0.369911789894104,
|
1266 |
+
"learning_rate": 1.605105438401776e-05,
|
1267 |
+
"loss": 0.0264,
|
1268 |
+
"step": 1780
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 1.9850249584026622,
|
1272 |
+
"grad_norm": 0.6072190999984741,
|
1273 |
+
"learning_rate": 1.602885682574917e-05,
|
1274 |
+
"loss": 0.0366,
|
1275 |
+
"step": 1790
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 1.9961175818080976,
|
1279 |
+
"grad_norm": 0.9733797311782837,
|
1280 |
+
"learning_rate": 1.600665926748058e-05,
|
1281 |
+
"loss": 0.0371,
|
1282 |
+
"step": 1800
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 2.0,
|
1286 |
+
"eval_accuracy": 0.8973319824383654,
|
1287 |
+
"eval_f1": 0.6872427983539094,
|
1288 |
+
"eval_loss": 0.31070804595947266,
|
1289 |
+
"eval_precision": 0.8166259168704156,
|
1290 |
+
"eval_recall": 0.5932504440497336,
|
1291 |
+
"eval_runtime": 2.7114,
|
1292 |
+
"eval_samples_per_second": 364.014,
|
1293 |
+
"eval_steps_per_second": 11.433,
|
1294 |
+
"step": 1804
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 2.0066555740432612,
|
1298 |
+
"grad_norm": 0.2766992449760437,
|
1299 |
+
"learning_rate": 1.598446170921199e-05,
|
1300 |
+
"loss": 0.0218,
|
1301 |
+
"step": 1810
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 2.0177481974486966,
|
1305 |
+
"grad_norm": 0.6556938290596008,
|
1306 |
+
"learning_rate": 1.59622641509434e-05,
|
1307 |
+
"loss": 0.0187,
|
1308 |
+
"step": 1820
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 2.028840820854132,
|
1312 |
+
"grad_norm": 0.24634911119937897,
|
1313 |
+
"learning_rate": 1.5940066592674808e-05,
|
1314 |
+
"loss": 0.0132,
|
1315 |
+
"step": 1830
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 2.0399334442595674,
|
1319 |
+
"grad_norm": 0.683587372303009,
|
1320 |
+
"learning_rate": 1.5917869034406218e-05,
|
1321 |
+
"loss": 0.0158,
|
1322 |
+
"step": 1840
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 2.0510260676650027,
|
1326 |
+
"grad_norm": 0.47117751836776733,
|
1327 |
+
"learning_rate": 1.5895671476137625e-05,
|
1328 |
+
"loss": 0.018,
|
1329 |
+
"step": 1850
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 2.062118691070438,
|
1333 |
+
"grad_norm": 0.4102018475532532,
|
1334 |
+
"learning_rate": 1.5873473917869034e-05,
|
1335 |
+
"loss": 0.0153,
|
1336 |
+
"step": 1860
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 2.0732113144758735,
|
1340 |
+
"grad_norm": 0.4639064371585846,
|
1341 |
+
"learning_rate": 1.5851276359600444e-05,
|
1342 |
+
"loss": 0.0171,
|
1343 |
+
"step": 1870
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 2.084303937881309,
|
1347 |
+
"grad_norm": 0.49497199058532715,
|
1348 |
+
"learning_rate": 1.5829078801331854e-05,
|
1349 |
+
"loss": 0.0168,
|
1350 |
+
"step": 1880
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 2.0953965612867442,
|
1354 |
+
"grad_norm": 0.6302080154418945,
|
1355 |
+
"learning_rate": 1.5806881243063264e-05,
|
1356 |
+
"loss": 0.0191,
|
1357 |
+
"step": 1890
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 2.1064891846921796,
|
1361 |
+
"grad_norm": 0.3464473783969879,
|
1362 |
+
"learning_rate": 1.5784683684794674e-05,
|
1363 |
+
"loss": 0.0184,
|
1364 |
+
"step": 1900
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 2.117581808097615,
|
1368 |
+
"grad_norm": 0.6507964730262756,
|
1369 |
+
"learning_rate": 1.5762486126526084e-05,
|
1370 |
+
"loss": 0.0135,
|
1371 |
+
"step": 1910
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 2.1286744315030504,
|
1375 |
+
"grad_norm": 0.1759006232023239,
|
1376 |
+
"learning_rate": 1.5740288568257494e-05,
|
1377 |
+
"loss": 0.0118,
|
1378 |
+
"step": 1920
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 2.1397670549084857,
|
1382 |
+
"grad_norm": 0.5952832698822021,
|
1383 |
+
"learning_rate": 1.5718091009988904e-05,
|
1384 |
+
"loss": 0.0157,
|
1385 |
+
"step": 1930
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 2.150859678313921,
|
1389 |
+
"grad_norm": 0.8094580769538879,
|
1390 |
+
"learning_rate": 1.5695893451720313e-05,
|
1391 |
+
"loss": 0.0125,
|
1392 |
+
"step": 1940
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 2.1619523017193565,
|
1396 |
+
"grad_norm": 0.6284286379814148,
|
1397 |
+
"learning_rate": 1.567369589345172e-05,
|
1398 |
+
"loss": 0.0178,
|
1399 |
+
"step": 1950
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 2.173044925124792,
|
1403 |
+
"grad_norm": 0.6017957925796509,
|
1404 |
+
"learning_rate": 1.565149833518313e-05,
|
1405 |
+
"loss": 0.0136,
|
1406 |
+
"step": 1960
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 2.1841375485302272,
|
1410 |
+
"grad_norm": 1.2836827039718628,
|
1411 |
+
"learning_rate": 1.562930077691454e-05,
|
1412 |
+
"loss": 0.014,
|
1413 |
+
"step": 1970
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 2.1952301719356626,
|
1417 |
+
"grad_norm": 0.6213756203651428,
|
1418 |
+
"learning_rate": 1.560710321864595e-05,
|
1419 |
+
"loss": 0.0136,
|
1420 |
+
"step": 1980
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 2.206322795341098,
|
1424 |
+
"grad_norm": 0.48122018575668335,
|
1425 |
+
"learning_rate": 1.558490566037736e-05,
|
1426 |
+
"loss": 0.0147,
|
1427 |
+
"step": 1990
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 2.2174154187465334,
|
1431 |
+
"grad_norm": 0.7161231637001038,
|
1432 |
+
"learning_rate": 1.556270810210877e-05,
|
1433 |
+
"loss": 0.0105,
|
1434 |
+
"step": 2000
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 2.2285080421519687,
|
1438 |
+
"grad_norm": 0.6598195433616638,
|
1439 |
+
"learning_rate": 1.554051054384018e-05,
|
1440 |
+
"loss": 0.0172,
|
1441 |
+
"step": 2010
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 2.239600665557404,
|
1445 |
+
"grad_norm": 0.6077088117599487,
|
1446 |
+
"learning_rate": 1.551831298557159e-05,
|
1447 |
+
"loss": 0.0144,
|
1448 |
+
"step": 2020
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 2.2506932889628395,
|
1452 |
+
"grad_norm": 0.5622262954711914,
|
1453 |
+
"learning_rate": 1.5496115427303e-05,
|
1454 |
+
"loss": 0.0175,
|
1455 |
+
"step": 2030
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 2.261785912368275,
|
1459 |
+
"grad_norm": 0.1281885802745819,
|
1460 |
+
"learning_rate": 1.547391786903441e-05,
|
1461 |
+
"loss": 0.018,
|
1462 |
+
"step": 2040
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 2.2728785357737102,
|
1466 |
+
"grad_norm": 0.408607542514801,
|
1467 |
+
"learning_rate": 1.5451720310765815e-05,
|
1468 |
+
"loss": 0.0095,
|
1469 |
+
"step": 2050
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 2.283971159179146,
|
1473 |
+
"grad_norm": 0.7786557674407959,
|
1474 |
+
"learning_rate": 1.5429522752497225e-05,
|
1475 |
+
"loss": 0.0163,
|
1476 |
+
"step": 2060
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 2.2950637825845814,
|
1480 |
+
"grad_norm": 0.22975876927375793,
|
1481 |
+
"learning_rate": 1.5407325194228635e-05,
|
1482 |
+
"loss": 0.0193,
|
1483 |
+
"step": 2070
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 2.306156405990017,
|
1487 |
+
"grad_norm": 0.4313502311706543,
|
1488 |
+
"learning_rate": 1.5385127635960048e-05,
|
1489 |
+
"loss": 0.0186,
|
1490 |
+
"step": 2080
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 2.317249029395452,
|
1494 |
+
"grad_norm": 0.794448733329773,
|
1495 |
+
"learning_rate": 1.5362930077691455e-05,
|
1496 |
+
"loss": 0.0159,
|
1497 |
+
"step": 2090
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 2.3283416528008876,
|
1501 |
+
"grad_norm": 0.4191996157169342,
|
1502 |
+
"learning_rate": 1.5340732519422865e-05,
|
1503 |
+
"loss": 0.0208,
|
1504 |
+
"step": 2100
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 2.339434276206323,
|
1508 |
+
"grad_norm": 0.5219516754150391,
|
1509 |
+
"learning_rate": 1.5318534961154274e-05,
|
1510 |
+
"loss": 0.0136,
|
1511 |
+
"step": 2110
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 2.3505268996117583,
|
1515 |
+
"grad_norm": 1.1869897842407227,
|
1516 |
+
"learning_rate": 1.5296337402885684e-05,
|
1517 |
+
"loss": 0.0177,
|
1518 |
+
"step": 2120
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 2.3616195230171937,
|
1522 |
+
"grad_norm": 0.12048923969268799,
|
1523 |
+
"learning_rate": 1.5274139844617094e-05,
|
1524 |
+
"loss": 0.0129,
|
1525 |
+
"step": 2130
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 2.372712146422629,
|
1529 |
+
"grad_norm": 0.5213373899459839,
|
1530 |
+
"learning_rate": 1.5251942286348502e-05,
|
1531 |
+
"loss": 0.0127,
|
1532 |
+
"step": 2140
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 2.3838047698280644,
|
1536 |
+
"grad_norm": 0.43704670667648315,
|
1537 |
+
"learning_rate": 1.5229744728079912e-05,
|
1538 |
+
"loss": 0.0154,
|
1539 |
+
"step": 2150
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 2.3948973932335,
|
1543 |
+
"grad_norm": 0.567150890827179,
|
1544 |
+
"learning_rate": 1.5207547169811324e-05,
|
1545 |
+
"loss": 0.0117,
|
1546 |
+
"step": 2160
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 2.405990016638935,
|
1550 |
+
"grad_norm": 0.571408212184906,
|
1551 |
+
"learning_rate": 1.5185349611542732e-05,
|
1552 |
+
"loss": 0.0152,
|
1553 |
+
"step": 2170
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 2.4170826400443706,
|
1557 |
+
"grad_norm": 0.524834394454956,
|
1558 |
+
"learning_rate": 1.5163152053274142e-05,
|
1559 |
+
"loss": 0.017,
|
1560 |
+
"step": 2180
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 2.428175263449806,
|
1564 |
+
"grad_norm": 0.5026165246963501,
|
1565 |
+
"learning_rate": 1.5140954495005552e-05,
|
1566 |
+
"loss": 0.0193,
|
1567 |
+
"step": 2190
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 2.4392678868552413,
|
1571 |
+
"grad_norm": 0.3944782614707947,
|
1572 |
+
"learning_rate": 1.511875693673696e-05,
|
1573 |
+
"loss": 0.0159,
|
1574 |
+
"step": 2200
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 2.4503605102606767,
|
1578 |
+
"grad_norm": 0.6460635662078857,
|
1579 |
+
"learning_rate": 1.509655937846837e-05,
|
1580 |
+
"loss": 0.0139,
|
1581 |
+
"step": 2210
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 2.461453133666112,
|
1585 |
+
"grad_norm": 0.5573295950889587,
|
1586 |
+
"learning_rate": 1.507436182019978e-05,
|
1587 |
+
"loss": 0.0183,
|
1588 |
+
"step": 2220
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 2.4725457570715474,
|
1592 |
+
"grad_norm": 0.5001458525657654,
|
1593 |
+
"learning_rate": 1.5052164261931188e-05,
|
1594 |
+
"loss": 0.0167,
|
1595 |
+
"step": 2230
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 2.483638380476983,
|
1599 |
+
"grad_norm": 1.0214160680770874,
|
1600 |
+
"learning_rate": 1.5029966703662598e-05,
|
1601 |
+
"loss": 0.0182,
|
1602 |
+
"step": 2240
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 2.494731003882418,
|
1606 |
+
"grad_norm": 0.5756349563598633,
|
1607 |
+
"learning_rate": 1.5007769145394009e-05,
|
1608 |
+
"loss": 0.0164,
|
1609 |
+
"step": 2250
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 2.5058236272878536,
|
1613 |
+
"grad_norm": 0.771986722946167,
|
1614 |
+
"learning_rate": 1.4985571587125419e-05,
|
1615 |
+
"loss": 0.0183,
|
1616 |
+
"step": 2260
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 2.516916250693289,
|
1620 |
+
"grad_norm": 0.5560303926467896,
|
1621 |
+
"learning_rate": 1.4963374028856827e-05,
|
1622 |
+
"loss": 0.0178,
|
1623 |
+
"step": 2270
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 2.5280088740987243,
|
1627 |
+
"grad_norm": 0.8550804853439331,
|
1628 |
+
"learning_rate": 1.4941176470588237e-05,
|
1629 |
+
"loss": 0.0118,
|
1630 |
+
"step": 2280
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 2.5391014975041597,
|
1634 |
+
"grad_norm": 0.8129355907440186,
|
1635 |
+
"learning_rate": 1.4918978912319645e-05,
|
1636 |
+
"loss": 0.0126,
|
1637 |
+
"step": 2290
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 2.550194120909595,
|
1641 |
+
"grad_norm": 1.176377773284912,
|
1642 |
+
"learning_rate": 1.4896781354051055e-05,
|
1643 |
+
"loss": 0.0126,
|
1644 |
+
"step": 2300
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 2.5612867443150305,
|
1648 |
+
"grad_norm": 0.1419341266155243,
|
1649 |
+
"learning_rate": 1.4874583795782465e-05,
|
1650 |
+
"loss": 0.0196,
|
1651 |
+
"step": 2310
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 2.572379367720466,
|
1655 |
+
"grad_norm": 1.4311761856079102,
|
1656 |
+
"learning_rate": 1.4852386237513873e-05,
|
1657 |
+
"loss": 0.0143,
|
1658 |
+
"step": 2320
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 2.583471991125901,
|
1662 |
+
"grad_norm": 0.9924690127372742,
|
1663 |
+
"learning_rate": 1.4830188679245283e-05,
|
1664 |
+
"loss": 0.0198,
|
1665 |
+
"step": 2330
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 2.5945646145313366,
|
1669 |
+
"grad_norm": 0.6496040225028992,
|
1670 |
+
"learning_rate": 1.4807991120976695e-05,
|
1671 |
+
"loss": 0.014,
|
1672 |
+
"step": 2340
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 2.605657237936772,
|
1676 |
+
"grad_norm": 0.2335842400789261,
|
1677 |
+
"learning_rate": 1.4785793562708104e-05,
|
1678 |
+
"loss": 0.0128,
|
1679 |
+
"step": 2350
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 2.6167498613422073,
|
1683 |
+
"grad_norm": 0.6549142003059387,
|
1684 |
+
"learning_rate": 1.4763596004439513e-05,
|
1685 |
+
"loss": 0.019,
|
1686 |
+
"step": 2360
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 2.6278424847476427,
|
1690 |
+
"grad_norm": 0.3264187276363373,
|
1691 |
+
"learning_rate": 1.4741398446170922e-05,
|
1692 |
+
"loss": 0.0168,
|
1693 |
+
"step": 2370
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 2.638935108153078,
|
1697 |
+
"grad_norm": 0.4175679683685303,
|
1698 |
+
"learning_rate": 1.4719200887902332e-05,
|
1699 |
+
"loss": 0.0122,
|
1700 |
+
"step": 2380
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 2.6500277315585135,
|
1704 |
+
"grad_norm": 0.2968366742134094,
|
1705 |
+
"learning_rate": 1.469700332963374e-05,
|
1706 |
+
"loss": 0.0189,
|
1707 |
+
"step": 2390
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 2.661120354963949,
|
1711 |
+
"grad_norm": 1.5489327907562256,
|
1712 |
+
"learning_rate": 1.467480577136515e-05,
|
1713 |
+
"loss": 0.0158,
|
1714 |
+
"step": 2400
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 2.672212978369384,
|
1718 |
+
"grad_norm": 0.8017039895057678,
|
1719 |
+
"learning_rate": 1.465260821309656e-05,
|
1720 |
+
"loss": 0.0178,
|
1721 |
+
"step": 2410
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 2.6833056017748196,
|
1725 |
+
"grad_norm": 0.6136099100112915,
|
1726 |
+
"learning_rate": 1.4630410654827972e-05,
|
1727 |
+
"loss": 0.0164,
|
1728 |
+
"step": 2420
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 2.6943982251802554,
|
1732 |
+
"grad_norm": 0.5461011528968811,
|
1733 |
+
"learning_rate": 1.460821309655938e-05,
|
1734 |
+
"loss": 0.0168,
|
1735 |
+
"step": 2430
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 2.7054908485856908,
|
1739 |
+
"grad_norm": 0.2680525779724121,
|
1740 |
+
"learning_rate": 1.458601553829079e-05,
|
1741 |
+
"loss": 0.0138,
|
1742 |
+
"step": 2440
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 2.716583471991126,
|
1746 |
+
"grad_norm": 0.6884289383888245,
|
1747 |
+
"learning_rate": 1.45638179800222e-05,
|
1748 |
+
"loss": 0.0145,
|
1749 |
+
"step": 2450
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 2.7276760953965615,
|
1753 |
+
"grad_norm": 1.226928472518921,
|
1754 |
+
"learning_rate": 1.4541620421753608e-05,
|
1755 |
+
"loss": 0.0145,
|
1756 |
+
"step": 2460
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 2.738768718801997,
|
1760 |
+
"grad_norm": 0.447221040725708,
|
1761 |
+
"learning_rate": 1.4519422863485018e-05,
|
1762 |
+
"loss": 0.0168,
|
1763 |
+
"step": 2470
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 2.7498613422074323,
|
1767 |
+
"grad_norm": 0.47167718410491943,
|
1768 |
+
"learning_rate": 1.4497225305216428e-05,
|
1769 |
+
"loss": 0.0124,
|
1770 |
+
"step": 2480
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 2.7609539656128677,
|
1774 |
+
"grad_norm": 1.326282262802124,
|
1775 |
+
"learning_rate": 1.4475027746947836e-05,
|
1776 |
+
"loss": 0.0183,
|
1777 |
+
"step": 2490
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 2.772046589018303,
|
1781 |
+
"grad_norm": 0.9036744236946106,
|
1782 |
+
"learning_rate": 1.4452830188679246e-05,
|
1783 |
+
"loss": 0.023,
|
1784 |
+
"step": 2500
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 2.7831392124237384,
|
1788 |
+
"grad_norm": 0.30263999104499817,
|
1789 |
+
"learning_rate": 1.4430632630410657e-05,
|
1790 |
+
"loss": 0.0163,
|
1791 |
+
"step": 2510
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 2.794231835829174,
|
1795 |
+
"grad_norm": 0.7316049933433533,
|
1796 |
+
"learning_rate": 1.4408435072142067e-05,
|
1797 |
+
"loss": 0.0156,
|
1798 |
+
"step": 2520
|
1799 |
+
},
|
1800 |
+
{
|
1801 |
+
"epoch": 2.805324459234609,
|
1802 |
+
"grad_norm": 0.8268038630485535,
|
1803 |
+
"learning_rate": 1.4386237513873475e-05,
|
1804 |
+
"loss": 0.0169,
|
1805 |
+
"step": 2530
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 2.8164170826400445,
|
1809 |
+
"grad_norm": 0.633816659450531,
|
1810 |
+
"learning_rate": 1.4364039955604885e-05,
|
1811 |
+
"loss": 0.0147,
|
1812 |
+
"step": 2540
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 2.82750970604548,
|
1816 |
+
"grad_norm": 0.43913397192955017,
|
1817 |
+
"learning_rate": 1.4341842397336295e-05,
|
1818 |
+
"loss": 0.0122,
|
1819 |
+
"step": 2550
|
1820 |
+
},
|
1821 |
+
{
|
1822 |
+
"epoch": 2.8386023294509153,
|
1823 |
+
"grad_norm": 0.37594836950302124,
|
1824 |
+
"learning_rate": 1.4319644839067703e-05,
|
1825 |
+
"loss": 0.0149,
|
1826 |
+
"step": 2560
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 2.8496949528563507,
|
1830 |
+
"grad_norm": 0.5090307593345642,
|
1831 |
+
"learning_rate": 1.4297447280799113e-05,
|
1832 |
+
"loss": 0.015,
|
1833 |
+
"step": 2570
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 2.860787576261786,
|
1837 |
+
"grad_norm": 0.47723984718322754,
|
1838 |
+
"learning_rate": 1.4275249722530521e-05,
|
1839 |
+
"loss": 0.0166,
|
1840 |
+
"step": 2580
|
1841 |
+
},
|
1842 |
+
{
|
1843 |
+
"epoch": 2.8718801996672214,
|
1844 |
+
"grad_norm": 1.2512151002883911,
|
1845 |
+
"learning_rate": 1.4253052164261931e-05,
|
1846 |
+
"loss": 0.0136,
|
1847 |
+
"step": 2590
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 2.882972823072657,
|
1851 |
+
"grad_norm": 0.676337718963623,
|
1852 |
+
"learning_rate": 1.4230854605993343e-05,
|
1853 |
+
"loss": 0.0152,
|
1854 |
+
"step": 2600
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 2.894065446478092,
|
1858 |
+
"grad_norm": 0.7379328012466431,
|
1859 |
+
"learning_rate": 1.4208657047724752e-05,
|
1860 |
+
"loss": 0.0182,
|
1861 |
+
"step": 2610
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"epoch": 2.9051580698835275,
|
1865 |
+
"grad_norm": 0.8266171813011169,
|
1866 |
+
"learning_rate": 1.418645948945616e-05,
|
1867 |
+
"loss": 0.0207,
|
1868 |
+
"step": 2620
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 2.916250693288963,
|
1872 |
+
"grad_norm": 0.9925495982170105,
|
1873 |
+
"learning_rate": 1.416426193118757e-05,
|
1874 |
+
"loss": 0.0157,
|
1875 |
+
"step": 2630
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 2.9273433166943983,
|
1879 |
+
"grad_norm": 1.1120530366897583,
|
1880 |
+
"learning_rate": 1.414206437291898e-05,
|
1881 |
+
"loss": 0.0164,
|
1882 |
+
"step": 2640
|
1883 |
+
},
|
1884 |
+
{
|
1885 |
+
"epoch": 2.9384359400998337,
|
1886 |
+
"grad_norm": 0.9687446355819702,
|
1887 |
+
"learning_rate": 1.4119866814650389e-05,
|
1888 |
+
"loss": 0.0211,
|
1889 |
+
"step": 2650
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 2.949528563505269,
|
1893 |
+
"grad_norm": 0.19811566174030304,
|
1894 |
+
"learning_rate": 1.4097669256381798e-05,
|
1895 |
+
"loss": 0.0181,
|
1896 |
+
"step": 2660
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 2.9606211869107044,
|
1900 |
+
"grad_norm": 0.9253482818603516,
|
1901 |
+
"learning_rate": 1.4075471698113208e-05,
|
1902 |
+
"loss": 0.0158,
|
1903 |
+
"step": 2670
|
1904 |
+
},
|
1905 |
+
{
|
1906 |
+
"epoch": 2.97171381031614,
|
1907 |
+
"grad_norm": 0.677994430065155,
|
1908 |
+
"learning_rate": 1.405327413984462e-05,
|
1909 |
+
"loss": 0.024,
|
1910 |
+
"step": 2680
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 2.982806433721575,
|
1914 |
+
"grad_norm": 0.3959580361843109,
|
1915 |
+
"learning_rate": 1.4031076581576028e-05,
|
1916 |
+
"loss": 0.009,
|
1917 |
+
"step": 2690
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 2.9938990571270105,
|
1921 |
+
"grad_norm": 1.0569937229156494,
|
1922 |
+
"learning_rate": 1.4008879023307438e-05,
|
1923 |
+
"loss": 0.0187,
|
1924 |
+
"step": 2700
|
1925 |
+
},
|
1926 |
+
{
|
1927 |
+
"epoch": 3.0,
|
1928 |
+
"eval_accuracy": 0.8888888888888888,
|
1929 |
+
"eval_f1": 0.7171109200343938,
|
1930 |
+
"eval_loss": 0.3638182580471039,
|
1931 |
+
"eval_precision": 0.695,
|
1932 |
+
"eval_recall": 0.7406749555950266,
|
1933 |
+
"eval_runtime": 2.7252,
|
1934 |
+
"eval_samples_per_second": 362.177,
|
1935 |
+
"eval_steps_per_second": 11.375,
|
1936 |
+
"step": 2706
|
1937 |
+
}
|
1938 |
+
],
|
1939 |
+
"logging_steps": 10,
|
1940 |
+
"max_steps": 9010,
|
1941 |
+
"num_input_tokens_seen": 0,
|
1942 |
+
"num_train_epochs": 10,
|
1943 |
+
"save_steps": 500,
|
1944 |
+
"stateful_callbacks": {
|
1945 |
+
"TrainerControl": {
|
1946 |
+
"args": {
|
1947 |
+
"should_epoch_stop": false,
|
1948 |
+
"should_evaluate": false,
|
1949 |
+
"should_log": false,
|
1950 |
+
"should_save": true,
|
1951 |
+
"should_training_stop": false
|
1952 |
+
},
|
1953 |
+
"attributes": {}
|
1954 |
+
}
|
1955 |
+
},
|
1956 |
+
"total_flos": 2.884237018137645e+16,
|
1957 |
+
"train_batch_size": 32,
|
1958 |
+
"trial_name": null,
|
1959 |
+
"trial_params": null
|
1960 |
+
}
|
checkpoint-2706/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e64fe8f815fa80a7291289cde9af3ebb27f62206c40a93e8adf97661cd289de3
|
3 |
+
size 5368
|
checkpoint-3608/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-3608/config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"DebertaV2ForSequenceClassification"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.1,
|
6 |
+
"hidden_act": "gelu",
|
7 |
+
"hidden_dropout_prob": 0.1,
|
8 |
+
"hidden_size": 1024,
|
9 |
+
"id2label": {
|
10 |
+
"0": 0,
|
11 |
+
"1": 1,
|
12 |
+
"2": 2
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 4096,
|
16 |
+
"label2id": {
|
17 |
+
"0": 0,
|
18 |
+
"1": 1,
|
19 |
+
"2": 2
|
20 |
+
},
|
21 |
+
"layer_norm_eps": 1e-07,
|
22 |
+
"legacy": true,
|
23 |
+
"max_position_embeddings": 512,
|
24 |
+
"max_relative_positions": -1,
|
25 |
+
"model_type": "deberta-v2",
|
26 |
+
"norm_rel_ebd": "layer_norm",
|
27 |
+
"num_attention_heads": 16,
|
28 |
+
"num_hidden_layers": 24,
|
29 |
+
"pad_token_id": 0,
|
30 |
+
"pooler_dropout": 0,
|
31 |
+
"pooler_hidden_act": "gelu",
|
32 |
+
"pooler_hidden_size": 1024,
|
33 |
+
"pos_att_type": [
|
34 |
+
"p2c",
|
35 |
+
"c2p"
|
36 |
+
],
|
37 |
+
"position_biased_input": false,
|
38 |
+
"position_buckets": 256,
|
39 |
+
"problem_type": "multi_label_classification",
|
40 |
+
"relative_attention": true,
|
41 |
+
"share_att_key": true,
|
42 |
+
"torch_dtype": "float32",
|
43 |
+
"transformers_version": "4.51.3",
|
44 |
+
"type_vocab_size": 0,
|
45 |
+
"vocab_size": 128100
|
46 |
+
}
|
checkpoint-3608/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0891e2cede52fd93e5b1a8218f5df55279ad9923be6849789b1ab2e14c923292
|
3 |
+
size 1740308548
|
checkpoint-3608/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec792cb9e986f379e3975a71e9d8a047750d20b5162cc6e9bfa2aefca17b0410
|
3 |
+
size 3480848432
|
checkpoint-3608/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca27814685a3b867c95e0a3f7bcf8ad712492068d0de996d1862d3beadc0d5b6
|
3 |
+
size 14244
|
checkpoint-3608/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:471cf39ce9e42c624e5374d96c5e15174a9452cbaefa1d887095f2bc277f5261
|
3 |
+
size 1064
|
checkpoint-3608/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": {
|
9 |
+
"content": "[UNK]",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": true,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
}
|
15 |
+
}
|
checkpoint-3608/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
checkpoint-3608/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-3608/tokenizer_config.json
ADDED
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128000": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": false,
|
46 |
+
"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": false,
|
48 |
+
"eos_token": "[SEP]",
|
49 |
+
"extra_special_tokens": {},
|
50 |
+
"mask_token": "[MASK]",
|
51 |
+
"model_max_length": 1000000000000000019884624838656,
|
52 |
+
"pad_token": "[PAD]",
|
53 |
+
"sep_token": "[SEP]",
|
54 |
+
"sp_model_kwargs": {},
|
55 |
+
"split_by_punct": false,
|
56 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
57 |
+
"unk_token": "[UNK]",
|
58 |
+
"vocab_type": "spm"
|
59 |
+
}
|
checkpoint-3608/trainer_state.json
ADDED
@@ -0,0 +1,2602 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 4.0,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 3608,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.011092623405435386,
|
14 |
+
"grad_norm": 2.009918689727783,
|
15 |
+
"learning_rate": 1.998002219755827e-05,
|
16 |
+
"loss": 0.5022,
|
17 |
+
"step": 10
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.022185246810870772,
|
21 |
+
"grad_norm": 0.49915584921836853,
|
22 |
+
"learning_rate": 1.995782463928968e-05,
|
23 |
+
"loss": 0.1943,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.033277870216306155,
|
28 |
+
"grad_norm": 0.47061625123023987,
|
29 |
+
"learning_rate": 1.993562708102109e-05,
|
30 |
+
"loss": 0.1436,
|
31 |
+
"step": 30
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.044370493621741544,
|
35 |
+
"grad_norm": 0.2260124832391739,
|
36 |
+
"learning_rate": 1.99134295227525e-05,
|
37 |
+
"loss": 0.1106,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.05546311702717693,
|
42 |
+
"grad_norm": 0.31766048073768616,
|
43 |
+
"learning_rate": 1.989123196448391e-05,
|
44 |
+
"loss": 0.0994,
|
45 |
+
"step": 50
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.06655574043261231,
|
49 |
+
"grad_norm": 0.2788391709327698,
|
50 |
+
"learning_rate": 1.9869034406215316e-05,
|
51 |
+
"loss": 0.111,
|
52 |
+
"step": 60
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.0776483638380477,
|
56 |
+
"grad_norm": 0.24376386404037476,
|
57 |
+
"learning_rate": 1.9846836847946726e-05,
|
58 |
+
"loss": 0.0849,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.08874098724348309,
|
63 |
+
"grad_norm": 0.1789788454771042,
|
64 |
+
"learning_rate": 1.982463928967814e-05,
|
65 |
+
"loss": 0.0971,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.09983361064891846,
|
70 |
+
"grad_norm": 0.29698437452316284,
|
71 |
+
"learning_rate": 1.9802441731409546e-05,
|
72 |
+
"loss": 0.0856,
|
73 |
+
"step": 90
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.11092623405435385,
|
77 |
+
"grad_norm": 0.2553412616252899,
|
78 |
+
"learning_rate": 1.9780244173140956e-05,
|
79 |
+
"loss": 0.0976,
|
80 |
+
"step": 100
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.12201885745978924,
|
84 |
+
"grad_norm": 0.20608791708946228,
|
85 |
+
"learning_rate": 1.9758046614872365e-05,
|
86 |
+
"loss": 0.0947,
|
87 |
+
"step": 110
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.13311148086522462,
|
91 |
+
"grad_norm": 0.23551669716835022,
|
92 |
+
"learning_rate": 1.9735849056603775e-05,
|
93 |
+
"loss": 0.0965,
|
94 |
+
"step": 120
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.14420410427066002,
|
98 |
+
"grad_norm": 0.3207148611545563,
|
99 |
+
"learning_rate": 1.9713651498335185e-05,
|
100 |
+
"loss": 0.0931,
|
101 |
+
"step": 130
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.1552967276760954,
|
105 |
+
"grad_norm": 0.34813177585601807,
|
106 |
+
"learning_rate": 1.9691453940066595e-05,
|
107 |
+
"loss": 0.1,
|
108 |
+
"step": 140
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.16638935108153077,
|
112 |
+
"grad_norm": 0.41501104831695557,
|
113 |
+
"learning_rate": 1.9669256381798e-05,
|
114 |
+
"loss": 0.0922,
|
115 |
+
"step": 150
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.17748197448696618,
|
119 |
+
"grad_norm": 0.24550506472587585,
|
120 |
+
"learning_rate": 1.964705882352941e-05,
|
121 |
+
"loss": 0.0857,
|
122 |
+
"step": 160
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.18857459789240155,
|
126 |
+
"grad_norm": 0.4205056130886078,
|
127 |
+
"learning_rate": 1.9624861265260825e-05,
|
128 |
+
"loss": 0.0831,
|
129 |
+
"step": 170
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.19966722129783693,
|
133 |
+
"grad_norm": 0.6002993583679199,
|
134 |
+
"learning_rate": 1.9602663706992235e-05,
|
135 |
+
"loss": 0.0792,
|
136 |
+
"step": 180
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.21075984470327233,
|
140 |
+
"grad_norm": 0.27535638213157654,
|
141 |
+
"learning_rate": 1.958046614872364e-05,
|
142 |
+
"loss": 0.0786,
|
143 |
+
"step": 190
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.2218524681087077,
|
147 |
+
"grad_norm": 0.41602805256843567,
|
148 |
+
"learning_rate": 1.955826859045505e-05,
|
149 |
+
"loss": 0.0789,
|
150 |
+
"step": 200
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.23294509151414308,
|
154 |
+
"grad_norm": 0.41827332973480225,
|
155 |
+
"learning_rate": 1.953607103218646e-05,
|
156 |
+
"loss": 0.0663,
|
157 |
+
"step": 210
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.24403771491957849,
|
161 |
+
"grad_norm": 0.47976112365722656,
|
162 |
+
"learning_rate": 1.951387347391787e-05,
|
163 |
+
"loss": 0.0727,
|
164 |
+
"step": 220
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.25513033832501386,
|
168 |
+
"grad_norm": 0.7771281599998474,
|
169 |
+
"learning_rate": 1.949167591564928e-05,
|
170 |
+
"loss": 0.0776,
|
171 |
+
"step": 230
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.26622296173044924,
|
175 |
+
"grad_norm": 1.0573914051055908,
|
176 |
+
"learning_rate": 1.946947835738069e-05,
|
177 |
+
"loss": 0.0828,
|
178 |
+
"step": 240
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.2773155851358846,
|
182 |
+
"grad_norm": 0.5186040997505188,
|
183 |
+
"learning_rate": 1.9447280799112097e-05,
|
184 |
+
"loss": 0.0767,
|
185 |
+
"step": 250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.28840820854132004,
|
189 |
+
"grad_norm": 0.5594862699508667,
|
190 |
+
"learning_rate": 1.942508324084351e-05,
|
191 |
+
"loss": 0.0699,
|
192 |
+
"step": 260
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.2995008319467554,
|
196 |
+
"grad_norm": 0.5147818922996521,
|
197 |
+
"learning_rate": 1.940288568257492e-05,
|
198 |
+
"loss": 0.0591,
|
199 |
+
"step": 270
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.3105934553521908,
|
203 |
+
"grad_norm": 0.5510437488555908,
|
204 |
+
"learning_rate": 1.938068812430633e-05,
|
205 |
+
"loss": 0.0761,
|
206 |
+
"step": 280
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.32168607875762617,
|
210 |
+
"grad_norm": 0.4817625880241394,
|
211 |
+
"learning_rate": 1.9358490566037736e-05,
|
212 |
+
"loss": 0.0688,
|
213 |
+
"step": 290
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.33277870216306155,
|
217 |
+
"grad_norm": 0.504362940788269,
|
218 |
+
"learning_rate": 1.9336293007769146e-05,
|
219 |
+
"loss": 0.0691,
|
220 |
+
"step": 300
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.343871325568497,
|
224 |
+
"grad_norm": 0.5732384920120239,
|
225 |
+
"learning_rate": 1.9314095449500556e-05,
|
226 |
+
"loss": 0.057,
|
227 |
+
"step": 310
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.35496394897393235,
|
231 |
+
"grad_norm": 0.5892298221588135,
|
232 |
+
"learning_rate": 1.9291897891231966e-05,
|
233 |
+
"loss": 0.059,
|
234 |
+
"step": 320
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.36605657237936773,
|
238 |
+
"grad_norm": 0.3680512309074402,
|
239 |
+
"learning_rate": 1.9269700332963376e-05,
|
240 |
+
"loss": 0.0706,
|
241 |
+
"step": 330
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.3771491957848031,
|
245 |
+
"grad_norm": 0.41971662640571594,
|
246 |
+
"learning_rate": 1.9247502774694786e-05,
|
247 |
+
"loss": 0.053,
|
248 |
+
"step": 340
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.3882418191902385,
|
252 |
+
"grad_norm": 0.37261390686035156,
|
253 |
+
"learning_rate": 1.9225305216426195e-05,
|
254 |
+
"loss": 0.0632,
|
255 |
+
"step": 350
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.39933444259567386,
|
259 |
+
"grad_norm": 0.48256734013557434,
|
260 |
+
"learning_rate": 1.9203107658157605e-05,
|
261 |
+
"loss": 0.0651,
|
262 |
+
"step": 360
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.4104270660011093,
|
266 |
+
"grad_norm": 0.7914339303970337,
|
267 |
+
"learning_rate": 1.9180910099889015e-05,
|
268 |
+
"loss": 0.0659,
|
269 |
+
"step": 370
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.42151968940654466,
|
273 |
+
"grad_norm": 0.6772429347038269,
|
274 |
+
"learning_rate": 1.915871254162042e-05,
|
275 |
+
"loss": 0.0655,
|
276 |
+
"step": 380
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.43261231281198004,
|
280 |
+
"grad_norm": 0.5621687173843384,
|
281 |
+
"learning_rate": 1.913651498335183e-05,
|
282 |
+
"loss": 0.0707,
|
283 |
+
"step": 390
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.4437049362174154,
|
287 |
+
"grad_norm": 0.30515748262405396,
|
288 |
+
"learning_rate": 1.911431742508324e-05,
|
289 |
+
"loss": 0.0548,
|
290 |
+
"step": 400
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.4547975596228508,
|
294 |
+
"grad_norm": 0.5506859421730042,
|
295 |
+
"learning_rate": 1.909211986681465e-05,
|
296 |
+
"loss": 0.0554,
|
297 |
+
"step": 410
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.46589018302828616,
|
301 |
+
"grad_norm": 0.6387749314308167,
|
302 |
+
"learning_rate": 1.906992230854606e-05,
|
303 |
+
"loss": 0.0554,
|
304 |
+
"step": 420
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.4769828064337216,
|
308 |
+
"grad_norm": 0.18500734865665436,
|
309 |
+
"learning_rate": 1.904772475027747e-05,
|
310 |
+
"loss": 0.0558,
|
311 |
+
"step": 430
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.48807542983915697,
|
315 |
+
"grad_norm": 0.6815407276153564,
|
316 |
+
"learning_rate": 1.902552719200888e-05,
|
317 |
+
"loss": 0.0537,
|
318 |
+
"step": 440
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.49916805324459235,
|
322 |
+
"grad_norm": 0.4826994836330414,
|
323 |
+
"learning_rate": 1.900332963374029e-05,
|
324 |
+
"loss": 0.0567,
|
325 |
+
"step": 450
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.5102606766500277,
|
329 |
+
"grad_norm": 0.24618124961853027,
|
330 |
+
"learning_rate": 1.89811320754717e-05,
|
331 |
+
"loss": 0.0614,
|
332 |
+
"step": 460
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.5213533000554631,
|
336 |
+
"grad_norm": 1.0037415027618408,
|
337 |
+
"learning_rate": 1.895893451720311e-05,
|
338 |
+
"loss": 0.0604,
|
339 |
+
"step": 470
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.5324459234608985,
|
343 |
+
"grad_norm": 0.6000948548316956,
|
344 |
+
"learning_rate": 1.8936736958934517e-05,
|
345 |
+
"loss": 0.0683,
|
346 |
+
"step": 480
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.5435385468663338,
|
350 |
+
"grad_norm": 0.3302474319934845,
|
351 |
+
"learning_rate": 1.8914539400665927e-05,
|
352 |
+
"loss": 0.0543,
|
353 |
+
"step": 490
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.5546311702717692,
|
357 |
+
"grad_norm": 0.5560783743858337,
|
358 |
+
"learning_rate": 1.8892341842397337e-05,
|
359 |
+
"loss": 0.0569,
|
360 |
+
"step": 500
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.5657237936772047,
|
364 |
+
"grad_norm": 0.8041097521781921,
|
365 |
+
"learning_rate": 1.8870144284128747e-05,
|
366 |
+
"loss": 0.0544,
|
367 |
+
"step": 510
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.5768164170826401,
|
371 |
+
"grad_norm": 0.6846103668212891,
|
372 |
+
"learning_rate": 1.8847946725860156e-05,
|
373 |
+
"loss": 0.058,
|
374 |
+
"step": 520
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.5879090404880755,
|
378 |
+
"grad_norm": 0.50434809923172,
|
379 |
+
"learning_rate": 1.8825749167591566e-05,
|
380 |
+
"loss": 0.0654,
|
381 |
+
"step": 530
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.5990016638935108,
|
385 |
+
"grad_norm": 0.54362553358078,
|
386 |
+
"learning_rate": 1.8803551609322976e-05,
|
387 |
+
"loss": 0.0582,
|
388 |
+
"step": 540
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.6100942872989462,
|
392 |
+
"grad_norm": 0.6166839599609375,
|
393 |
+
"learning_rate": 1.8781354051054386e-05,
|
394 |
+
"loss": 0.0672,
|
395 |
+
"step": 550
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.6211869107043816,
|
399 |
+
"grad_norm": 0.4353054165840149,
|
400 |
+
"learning_rate": 1.8759156492785796e-05,
|
401 |
+
"loss": 0.0532,
|
402 |
+
"step": 560
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.632279534109817,
|
406 |
+
"grad_norm": 0.6025580167770386,
|
407 |
+
"learning_rate": 1.8736958934517206e-05,
|
408 |
+
"loss": 0.0746,
|
409 |
+
"step": 570
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.6433721575152523,
|
413 |
+
"grad_norm": 0.7259892225265503,
|
414 |
+
"learning_rate": 1.8714761376248612e-05,
|
415 |
+
"loss": 0.0642,
|
416 |
+
"step": 580
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.6544647809206877,
|
420 |
+
"grad_norm": 0.4940318465232849,
|
421 |
+
"learning_rate": 1.8692563817980022e-05,
|
422 |
+
"loss": 0.0547,
|
423 |
+
"step": 590
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.6655574043261231,
|
427 |
+
"grad_norm": 0.7005699872970581,
|
428 |
+
"learning_rate": 1.8670366259711435e-05,
|
429 |
+
"loss": 0.0522,
|
430 |
+
"step": 600
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.6766500277315585,
|
434 |
+
"grad_norm": 0.4530707895755768,
|
435 |
+
"learning_rate": 1.8648168701442845e-05,
|
436 |
+
"loss": 0.054,
|
437 |
+
"step": 610
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.687742651136994,
|
441 |
+
"grad_norm": 0.9097110629081726,
|
442 |
+
"learning_rate": 1.8625971143174252e-05,
|
443 |
+
"loss": 0.0622,
|
444 |
+
"step": 620
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.6988352745424293,
|
448 |
+
"grad_norm": 0.5374599695205688,
|
449 |
+
"learning_rate": 1.860377358490566e-05,
|
450 |
+
"loss": 0.0522,
|
451 |
+
"step": 630
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.7099278979478647,
|
455 |
+
"grad_norm": 0.3849945664405823,
|
456 |
+
"learning_rate": 1.858157602663707e-05,
|
457 |
+
"loss": 0.0571,
|
458 |
+
"step": 640
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.7210205213533001,
|
462 |
+
"grad_norm": 0.5918008685112,
|
463 |
+
"learning_rate": 1.855937846836848e-05,
|
464 |
+
"loss": 0.0576,
|
465 |
+
"step": 650
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.7321131447587355,
|
469 |
+
"grad_norm": 0.3229956030845642,
|
470 |
+
"learning_rate": 1.853718091009989e-05,
|
471 |
+
"loss": 0.0537,
|
472 |
+
"step": 660
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.7432057681641708,
|
476 |
+
"grad_norm": 0.5264039039611816,
|
477 |
+
"learning_rate": 1.85149833518313e-05,
|
478 |
+
"loss": 0.06,
|
479 |
+
"step": 670
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.7542983915696062,
|
483 |
+
"grad_norm": 0.36795660853385925,
|
484 |
+
"learning_rate": 1.8492785793562708e-05,
|
485 |
+
"loss": 0.0511,
|
486 |
+
"step": 680
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.7653910149750416,
|
490 |
+
"grad_norm": 0.5905130505561829,
|
491 |
+
"learning_rate": 1.847058823529412e-05,
|
492 |
+
"loss": 0.0636,
|
493 |
+
"step": 690
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.776483638380477,
|
497 |
+
"grad_norm": 0.36266571283340454,
|
498 |
+
"learning_rate": 1.844839067702553e-05,
|
499 |
+
"loss": 0.0598,
|
500 |
+
"step": 700
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.7875762617859123,
|
504 |
+
"grad_norm": 0.4978592097759247,
|
505 |
+
"learning_rate": 1.8426193118756937e-05,
|
506 |
+
"loss": 0.0607,
|
507 |
+
"step": 710
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.7986688851913477,
|
511 |
+
"grad_norm": 0.4635021686553955,
|
512 |
+
"learning_rate": 1.8403995560488347e-05,
|
513 |
+
"loss": 0.0543,
|
514 |
+
"step": 720
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.8097615085967831,
|
518 |
+
"grad_norm": 0.44571858644485474,
|
519 |
+
"learning_rate": 1.8381798002219757e-05,
|
520 |
+
"loss": 0.0678,
|
521 |
+
"step": 730
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.8208541320022186,
|
525 |
+
"grad_norm": 0.8265877366065979,
|
526 |
+
"learning_rate": 1.8359600443951167e-05,
|
527 |
+
"loss": 0.0552,
|
528 |
+
"step": 740
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.831946755407654,
|
532 |
+
"grad_norm": 0.5776472091674805,
|
533 |
+
"learning_rate": 1.8337402885682577e-05,
|
534 |
+
"loss": 0.0505,
|
535 |
+
"step": 750
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.8430393788130893,
|
539 |
+
"grad_norm": 0.299274742603302,
|
540 |
+
"learning_rate": 1.8315205327413986e-05,
|
541 |
+
"loss": 0.0619,
|
542 |
+
"step": 760
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.8541320022185247,
|
546 |
+
"grad_norm": 0.587645947933197,
|
547 |
+
"learning_rate": 1.8293007769145393e-05,
|
548 |
+
"loss": 0.0575,
|
549 |
+
"step": 770
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.8652246256239601,
|
553 |
+
"grad_norm": 0.39164137840270996,
|
554 |
+
"learning_rate": 1.8270810210876806e-05,
|
555 |
+
"loss": 0.0458,
|
556 |
+
"step": 780
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.8763172490293955,
|
560 |
+
"grad_norm": 0.4663292169570923,
|
561 |
+
"learning_rate": 1.8248612652608216e-05,
|
562 |
+
"loss": 0.048,
|
563 |
+
"step": 790
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.8874098724348308,
|
567 |
+
"grad_norm": 0.5804581642150879,
|
568 |
+
"learning_rate": 1.8226415094339626e-05,
|
569 |
+
"loss": 0.0557,
|
570 |
+
"step": 800
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.8985024958402662,
|
574 |
+
"grad_norm": 0.4279440939426422,
|
575 |
+
"learning_rate": 1.8204217536071032e-05,
|
576 |
+
"loss": 0.051,
|
577 |
+
"step": 810
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.9095951192457016,
|
581 |
+
"grad_norm": 0.5384302735328674,
|
582 |
+
"learning_rate": 1.8182019977802442e-05,
|
583 |
+
"loss": 0.0558,
|
584 |
+
"step": 820
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.920687742651137,
|
588 |
+
"grad_norm": 0.5049973726272583,
|
589 |
+
"learning_rate": 1.8159822419533852e-05,
|
590 |
+
"loss": 0.047,
|
591 |
+
"step": 830
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.9317803660565723,
|
595 |
+
"grad_norm": 0.8061177134513855,
|
596 |
+
"learning_rate": 1.8137624861265262e-05,
|
597 |
+
"loss": 0.0572,
|
598 |
+
"step": 840
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.9428729894620078,
|
602 |
+
"grad_norm": 0.6056540012359619,
|
603 |
+
"learning_rate": 1.8115427302996672e-05,
|
604 |
+
"loss": 0.0539,
|
605 |
+
"step": 850
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.9539656128674432,
|
609 |
+
"grad_norm": 0.3001384139060974,
|
610 |
+
"learning_rate": 1.8093229744728082e-05,
|
611 |
+
"loss": 0.053,
|
612 |
+
"step": 860
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.9650582362728786,
|
616 |
+
"grad_norm": 0.6709749102592468,
|
617 |
+
"learning_rate": 1.807103218645949e-05,
|
618 |
+
"loss": 0.0526,
|
619 |
+
"step": 870
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.9761508596783139,
|
623 |
+
"grad_norm": 0.8233507871627808,
|
624 |
+
"learning_rate": 1.80488346281909e-05,
|
625 |
+
"loss": 0.0621,
|
626 |
+
"step": 880
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.9872434830837493,
|
630 |
+
"grad_norm": 0.5757150650024414,
|
631 |
+
"learning_rate": 1.802663706992231e-05,
|
632 |
+
"loss": 0.0546,
|
633 |
+
"step": 890
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.9983361064891847,
|
637 |
+
"grad_norm": 0.6834889054298401,
|
638 |
+
"learning_rate": 1.800443951165372e-05,
|
639 |
+
"loss": 0.0462,
|
640 |
+
"step": 900
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.0,
|
644 |
+
"eval_accuracy": 0.8720027017899359,
|
645 |
+
"eval_f1": 0.5678449258836944,
|
646 |
+
"eval_loss": 0.34414270520210266,
|
647 |
+
"eval_precision": 0.7929936305732485,
|
648 |
+
"eval_recall": 0.4422735346358792,
|
649 |
+
"eval_runtime": 2.727,
|
650 |
+
"eval_samples_per_second": 361.937,
|
651 |
+
"eval_steps_per_second": 11.368,
|
652 |
+
"step": 902
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.0088740987243483,
|
656 |
+
"grad_norm": 0.4411003887653351,
|
657 |
+
"learning_rate": 1.7982241953385128e-05,
|
658 |
+
"loss": 0.0312,
|
659 |
+
"step": 910
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.0199667221297837,
|
663 |
+
"grad_norm": 0.40500083565711975,
|
664 |
+
"learning_rate": 1.7960044395116538e-05,
|
665 |
+
"loss": 0.0345,
|
666 |
+
"step": 920
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.031059345535219,
|
670 |
+
"grad_norm": 0.9287449717521667,
|
671 |
+
"learning_rate": 1.7937846836847947e-05,
|
672 |
+
"loss": 0.0419,
|
673 |
+
"step": 930
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 1.0421519689406544,
|
677 |
+
"grad_norm": 0.7969145178794861,
|
678 |
+
"learning_rate": 1.7915649278579357e-05,
|
679 |
+
"loss": 0.042,
|
680 |
+
"step": 940
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.0532445923460898,
|
684 |
+
"grad_norm": 0.49280259013175964,
|
685 |
+
"learning_rate": 1.7893451720310767e-05,
|
686 |
+
"loss": 0.0427,
|
687 |
+
"step": 950
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 1.0643372157515252,
|
691 |
+
"grad_norm": 1.1647624969482422,
|
692 |
+
"learning_rate": 1.7871254162042177e-05,
|
693 |
+
"loss": 0.0341,
|
694 |
+
"step": 960
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.0754298391569606,
|
698 |
+
"grad_norm": 0.2908968925476074,
|
699 |
+
"learning_rate": 1.7849056603773587e-05,
|
700 |
+
"loss": 0.0389,
|
701 |
+
"step": 970
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.086522462562396,
|
705 |
+
"grad_norm": 0.521218478679657,
|
706 |
+
"learning_rate": 1.7826859045504997e-05,
|
707 |
+
"loss": 0.0396,
|
708 |
+
"step": 980
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.0976150859678313,
|
712 |
+
"grad_norm": 0.4156598150730133,
|
713 |
+
"learning_rate": 1.7804661487236407e-05,
|
714 |
+
"loss": 0.0359,
|
715 |
+
"step": 990
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 1.1087077093732667,
|
719 |
+
"grad_norm": 0.7260242104530334,
|
720 |
+
"learning_rate": 1.7782463928967813e-05,
|
721 |
+
"loss": 0.0384,
|
722 |
+
"step": 1000
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.119800332778702,
|
726 |
+
"grad_norm": 0.43658459186553955,
|
727 |
+
"learning_rate": 1.7760266370699223e-05,
|
728 |
+
"loss": 0.0383,
|
729 |
+
"step": 1010
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 1.1308929561841374,
|
733 |
+
"grad_norm": 0.3585101068019867,
|
734 |
+
"learning_rate": 1.7738068812430633e-05,
|
735 |
+
"loss": 0.0401,
|
736 |
+
"step": 1020
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.141985579589573,
|
740 |
+
"grad_norm": 0.5010389089584351,
|
741 |
+
"learning_rate": 1.7715871254162043e-05,
|
742 |
+
"loss": 0.0307,
|
743 |
+
"step": 1030
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.1530782029950084,
|
747 |
+
"grad_norm": 0.6415812969207764,
|
748 |
+
"learning_rate": 1.7693673695893453e-05,
|
749 |
+
"loss": 0.0423,
|
750 |
+
"step": 1040
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 1.1641708264004438,
|
754 |
+
"grad_norm": 0.6393259763717651,
|
755 |
+
"learning_rate": 1.7671476137624862e-05,
|
756 |
+
"loss": 0.0392,
|
757 |
+
"step": 1050
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.1752634498058792,
|
761 |
+
"grad_norm": 0.6339041590690613,
|
762 |
+
"learning_rate": 1.7649278579356272e-05,
|
763 |
+
"loss": 0.0506,
|
764 |
+
"step": 1060
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.1863560732113145,
|
768 |
+
"grad_norm": 0.6086763143539429,
|
769 |
+
"learning_rate": 1.7627081021087682e-05,
|
770 |
+
"loss": 0.0416,
|
771 |
+
"step": 1070
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 1.19744869661675,
|
775 |
+
"grad_norm": 0.6648682355880737,
|
776 |
+
"learning_rate": 1.7604883462819092e-05,
|
777 |
+
"loss": 0.0379,
|
778 |
+
"step": 1080
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 1.2085413200221853,
|
782 |
+
"grad_norm": 0.6018221378326416,
|
783 |
+
"learning_rate": 1.7582685904550502e-05,
|
784 |
+
"loss": 0.0354,
|
785 |
+
"step": 1090
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 1.2196339434276207,
|
789 |
+
"grad_norm": 1.2366654872894287,
|
790 |
+
"learning_rate": 1.756048834628191e-05,
|
791 |
+
"loss": 0.037,
|
792 |
+
"step": 1100
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 1.230726566833056,
|
796 |
+
"grad_norm": 0.5976310968399048,
|
797 |
+
"learning_rate": 1.7538290788013318e-05,
|
798 |
+
"loss": 0.0361,
|
799 |
+
"step": 1110
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 1.2418191902384914,
|
803 |
+
"grad_norm": 0.8290308117866516,
|
804 |
+
"learning_rate": 1.751609322974473e-05,
|
805 |
+
"loss": 0.0383,
|
806 |
+
"step": 1120
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.2529118136439268,
|
810 |
+
"grad_norm": 0.382548987865448,
|
811 |
+
"learning_rate": 1.749389567147614e-05,
|
812 |
+
"loss": 0.0449,
|
813 |
+
"step": 1130
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 1.2640044370493622,
|
817 |
+
"grad_norm": 0.5307976007461548,
|
818 |
+
"learning_rate": 1.7471698113207548e-05,
|
819 |
+
"loss": 0.0364,
|
820 |
+
"step": 1140
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 1.2750970604547975,
|
824 |
+
"grad_norm": 0.5508521795272827,
|
825 |
+
"learning_rate": 1.7449500554938958e-05,
|
826 |
+
"loss": 0.0312,
|
827 |
+
"step": 1150
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 1.286189683860233,
|
831 |
+
"grad_norm": 0.37057268619537354,
|
832 |
+
"learning_rate": 1.7427302996670368e-05,
|
833 |
+
"loss": 0.0397,
|
834 |
+
"step": 1160
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 1.2972823072656683,
|
838 |
+
"grad_norm": 0.4806898236274719,
|
839 |
+
"learning_rate": 1.7405105438401777e-05,
|
840 |
+
"loss": 0.0391,
|
841 |
+
"step": 1170
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 1.3083749306711037,
|
845 |
+
"grad_norm": 0.759772002696991,
|
846 |
+
"learning_rate": 1.7382907880133187e-05,
|
847 |
+
"loss": 0.0322,
|
848 |
+
"step": 1180
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.319467554076539,
|
852 |
+
"grad_norm": 0.39819085597991943,
|
853 |
+
"learning_rate": 1.7360710321864597e-05,
|
854 |
+
"loss": 0.0345,
|
855 |
+
"step": 1190
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 1.3305601774819744,
|
859 |
+
"grad_norm": 0.7733897566795349,
|
860 |
+
"learning_rate": 1.7338512763596004e-05,
|
861 |
+
"loss": 0.0424,
|
862 |
+
"step": 1200
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 1.3416528008874098,
|
866 |
+
"grad_norm": 0.7979075908660889,
|
867 |
+
"learning_rate": 1.7316315205327417e-05,
|
868 |
+
"loss": 0.0403,
|
869 |
+
"step": 1210
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 1.3527454242928454,
|
873 |
+
"grad_norm": 0.5658752918243408,
|
874 |
+
"learning_rate": 1.7294117647058827e-05,
|
875 |
+
"loss": 0.0276,
|
876 |
+
"step": 1220
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 1.3638380476982808,
|
880 |
+
"grad_norm": 0.25207844376564026,
|
881 |
+
"learning_rate": 1.7271920088790237e-05,
|
882 |
+
"loss": 0.0347,
|
883 |
+
"step": 1230
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 1.3749306711037161,
|
887 |
+
"grad_norm": 0.6338945031166077,
|
888 |
+
"learning_rate": 1.7249722530521643e-05,
|
889 |
+
"loss": 0.0416,
|
890 |
+
"step": 1240
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.3860232945091515,
|
894 |
+
"grad_norm": 0.8125913143157959,
|
895 |
+
"learning_rate": 1.7227524972253053e-05,
|
896 |
+
"loss": 0.0442,
|
897 |
+
"step": 1250
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 1.397115917914587,
|
901 |
+
"grad_norm": 0.5067325234413147,
|
902 |
+
"learning_rate": 1.7205327413984463e-05,
|
903 |
+
"loss": 0.0358,
|
904 |
+
"step": 1260
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 1.4082085413200223,
|
908 |
+
"grad_norm": 0.40132638812065125,
|
909 |
+
"learning_rate": 1.7183129855715873e-05,
|
910 |
+
"loss": 0.0303,
|
911 |
+
"step": 1270
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 1.4193011647254576,
|
915 |
+
"grad_norm": 0.6337258815765381,
|
916 |
+
"learning_rate": 1.7160932297447283e-05,
|
917 |
+
"loss": 0.0471,
|
918 |
+
"step": 1280
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 1.430393788130893,
|
922 |
+
"grad_norm": 0.43456393480300903,
|
923 |
+
"learning_rate": 1.713873473917869e-05,
|
924 |
+
"loss": 0.0354,
|
925 |
+
"step": 1290
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 1.4414864115363284,
|
929 |
+
"grad_norm": 0.3291069269180298,
|
930 |
+
"learning_rate": 1.7116537180910102e-05,
|
931 |
+
"loss": 0.0312,
|
932 |
+
"step": 1300
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.4525790349417638,
|
936 |
+
"grad_norm": 0.2960388660430908,
|
937 |
+
"learning_rate": 1.7094339622641512e-05,
|
938 |
+
"loss": 0.0362,
|
939 |
+
"step": 1310
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 1.4636716583471991,
|
943 |
+
"grad_norm": 0.820751428604126,
|
944 |
+
"learning_rate": 1.7072142064372922e-05,
|
945 |
+
"loss": 0.0396,
|
946 |
+
"step": 1320
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 1.4747642817526345,
|
950 |
+
"grad_norm": 0.7335907816886902,
|
951 |
+
"learning_rate": 1.704994450610433e-05,
|
952 |
+
"loss": 0.0386,
|
953 |
+
"step": 1330
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 1.48585690515807,
|
957 |
+
"grad_norm": 0.40592002868652344,
|
958 |
+
"learning_rate": 1.702774694783574e-05,
|
959 |
+
"loss": 0.0358,
|
960 |
+
"step": 1340
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 1.4969495285635053,
|
964 |
+
"grad_norm": 0.6194770336151123,
|
965 |
+
"learning_rate": 1.7005549389567148e-05,
|
966 |
+
"loss": 0.0361,
|
967 |
+
"step": 1350
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 1.5080421519689406,
|
971 |
+
"grad_norm": 0.44590774178504944,
|
972 |
+
"learning_rate": 1.6983351831298558e-05,
|
973 |
+
"loss": 0.033,
|
974 |
+
"step": 1360
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.519134775374376,
|
978 |
+
"grad_norm": 0.5857370495796204,
|
979 |
+
"learning_rate": 1.6961154273029968e-05,
|
980 |
+
"loss": 0.0423,
|
981 |
+
"step": 1370
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 1.5302273987798114,
|
985 |
+
"grad_norm": 0.6809953451156616,
|
986 |
+
"learning_rate": 1.6938956714761378e-05,
|
987 |
+
"loss": 0.0345,
|
988 |
+
"step": 1380
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 1.5413200221852468,
|
992 |
+
"grad_norm": 0.7102778553962708,
|
993 |
+
"learning_rate": 1.6916759156492788e-05,
|
994 |
+
"loss": 0.0372,
|
995 |
+
"step": 1390
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 1.5524126455906821,
|
999 |
+
"grad_norm": 0.31781554222106934,
|
1000 |
+
"learning_rate": 1.6894561598224198e-05,
|
1001 |
+
"loss": 0.032,
|
1002 |
+
"step": 1400
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 1.5635052689961175,
|
1006 |
+
"grad_norm": 0.4304943382740021,
|
1007 |
+
"learning_rate": 1.6872364039955607e-05,
|
1008 |
+
"loss": 0.0375,
|
1009 |
+
"step": 1410
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 1.574597892401553,
|
1013 |
+
"grad_norm": 0.918550968170166,
|
1014 |
+
"learning_rate": 1.6850166481687017e-05,
|
1015 |
+
"loss": 0.0416,
|
1016 |
+
"step": 1420
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 1.5856905158069883,
|
1020 |
+
"grad_norm": 0.722892701625824,
|
1021 |
+
"learning_rate": 1.6827968923418424e-05,
|
1022 |
+
"loss": 0.0359,
|
1023 |
+
"step": 1430
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 1.5967831392124237,
|
1027 |
+
"grad_norm": 0.508703351020813,
|
1028 |
+
"learning_rate": 1.6805771365149834e-05,
|
1029 |
+
"loss": 0.0402,
|
1030 |
+
"step": 1440
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 1.607875762617859,
|
1034 |
+
"grad_norm": 0.4725389778614044,
|
1035 |
+
"learning_rate": 1.6783573806881244e-05,
|
1036 |
+
"loss": 0.0335,
|
1037 |
+
"step": 1450
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 1.6189683860232944,
|
1041 |
+
"grad_norm": 0.4699971079826355,
|
1042 |
+
"learning_rate": 1.6761376248612653e-05,
|
1043 |
+
"loss": 0.0277,
|
1044 |
+
"step": 1460
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 1.6300610094287298,
|
1048 |
+
"grad_norm": 0.775764524936676,
|
1049 |
+
"learning_rate": 1.6739178690344063e-05,
|
1050 |
+
"loss": 0.0333,
|
1051 |
+
"step": 1470
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 1.6411536328341652,
|
1055 |
+
"grad_norm": 0.6115106344223022,
|
1056 |
+
"learning_rate": 1.6716981132075473e-05,
|
1057 |
+
"loss": 0.0301,
|
1058 |
+
"step": 1480
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 1.6522462562396005,
|
1062 |
+
"grad_norm": 0.743077278137207,
|
1063 |
+
"learning_rate": 1.6694783573806883e-05,
|
1064 |
+
"loss": 0.035,
|
1065 |
+
"step": 1490
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 1.663338879645036,
|
1069 |
+
"grad_norm": 0.5189201235771179,
|
1070 |
+
"learning_rate": 1.6672586015538293e-05,
|
1071 |
+
"loss": 0.0475,
|
1072 |
+
"step": 1500
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 1.6744315030504713,
|
1076 |
+
"grad_norm": 0.5089607238769531,
|
1077 |
+
"learning_rate": 1.6650388457269703e-05,
|
1078 |
+
"loss": 0.0377,
|
1079 |
+
"step": 1510
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 1.6855241264559067,
|
1083 |
+
"grad_norm": 0.46067437529563904,
|
1084 |
+
"learning_rate": 1.6628190899001113e-05,
|
1085 |
+
"loss": 0.0297,
|
1086 |
+
"step": 1520
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 1.6966167498613423,
|
1090 |
+
"grad_norm": 0.5661717653274536,
|
1091 |
+
"learning_rate": 1.660599334073252e-05,
|
1092 |
+
"loss": 0.0372,
|
1093 |
+
"step": 1530
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 1.7077093732667776,
|
1097 |
+
"grad_norm": 0.45938414335250854,
|
1098 |
+
"learning_rate": 1.658379578246393e-05,
|
1099 |
+
"loss": 0.0371,
|
1100 |
+
"step": 1540
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 1.718801996672213,
|
1104 |
+
"grad_norm": 0.7390128970146179,
|
1105 |
+
"learning_rate": 1.656159822419534e-05,
|
1106 |
+
"loss": 0.0332,
|
1107 |
+
"step": 1550
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 1.7298946200776484,
|
1111 |
+
"grad_norm": 0.6475571990013123,
|
1112 |
+
"learning_rate": 1.653940066592675e-05,
|
1113 |
+
"loss": 0.0352,
|
1114 |
+
"step": 1560
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 1.7409872434830838,
|
1118 |
+
"grad_norm": 0.8529049754142761,
|
1119 |
+
"learning_rate": 1.651720310765816e-05,
|
1120 |
+
"loss": 0.0386,
|
1121 |
+
"step": 1570
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 1.7520798668885191,
|
1125 |
+
"grad_norm": 0.6980950236320496,
|
1126 |
+
"learning_rate": 1.649500554938957e-05,
|
1127 |
+
"loss": 0.0358,
|
1128 |
+
"step": 1580
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 1.7631724902939545,
|
1132 |
+
"grad_norm": 0.5858293175697327,
|
1133 |
+
"learning_rate": 1.6472807991120978e-05,
|
1134 |
+
"loss": 0.0418,
|
1135 |
+
"step": 1590
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 1.7742651136993899,
|
1139 |
+
"grad_norm": 0.49686577916145325,
|
1140 |
+
"learning_rate": 1.6450610432852388e-05,
|
1141 |
+
"loss": 0.0361,
|
1142 |
+
"step": 1600
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 1.7853577371048253,
|
1146 |
+
"grad_norm": 0.3631349205970764,
|
1147 |
+
"learning_rate": 1.6428412874583798e-05,
|
1148 |
+
"loss": 0.0352,
|
1149 |
+
"step": 1610
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 1.7964503605102606,
|
1153 |
+
"grad_norm": 0.5329940915107727,
|
1154 |
+
"learning_rate": 1.6406215316315204e-05,
|
1155 |
+
"loss": 0.04,
|
1156 |
+
"step": 1620
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 1.807542983915696,
|
1160 |
+
"grad_norm": 0.5995050668716431,
|
1161 |
+
"learning_rate": 1.6384017758046614e-05,
|
1162 |
+
"loss": 0.0368,
|
1163 |
+
"step": 1630
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 1.8186356073211316,
|
1167 |
+
"grad_norm": 1.3379504680633545,
|
1168 |
+
"learning_rate": 1.6361820199778028e-05,
|
1169 |
+
"loss": 0.0397,
|
1170 |
+
"step": 1640
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 1.829728230726567,
|
1174 |
+
"grad_norm": 0.8026002645492554,
|
1175 |
+
"learning_rate": 1.6339622641509437e-05,
|
1176 |
+
"loss": 0.0318,
|
1177 |
+
"step": 1650
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 1.8408208541320024,
|
1181 |
+
"grad_norm": 0.917950451374054,
|
1182 |
+
"learning_rate": 1.6317425083240844e-05,
|
1183 |
+
"loss": 0.0352,
|
1184 |
+
"step": 1660
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 1.8519134775374377,
|
1188 |
+
"grad_norm": 0.6763226389884949,
|
1189 |
+
"learning_rate": 1.6295227524972254e-05,
|
1190 |
+
"loss": 0.0413,
|
1191 |
+
"step": 1670
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 1.8630061009428731,
|
1195 |
+
"grad_norm": 0.5728912949562073,
|
1196 |
+
"learning_rate": 1.6273029966703664e-05,
|
1197 |
+
"loss": 0.0291,
|
1198 |
+
"step": 1680
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 1.8740987243483085,
|
1202 |
+
"grad_norm": 0.6339443325996399,
|
1203 |
+
"learning_rate": 1.6250832408435074e-05,
|
1204 |
+
"loss": 0.0409,
|
1205 |
+
"step": 1690
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 1.8851913477537439,
|
1209 |
+
"grad_norm": 0.6930853128433228,
|
1210 |
+
"learning_rate": 1.6228634850166483e-05,
|
1211 |
+
"loss": 0.0371,
|
1212 |
+
"step": 1700
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 1.8962839711591792,
|
1216 |
+
"grad_norm": 0.37715452909469604,
|
1217 |
+
"learning_rate": 1.6206437291897893e-05,
|
1218 |
+
"loss": 0.031,
|
1219 |
+
"step": 1710
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 1.9073765945646146,
|
1223 |
+
"grad_norm": 0.5656572580337524,
|
1224 |
+
"learning_rate": 1.61842397336293e-05,
|
1225 |
+
"loss": 0.0414,
|
1226 |
+
"step": 1720
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 1.91846921797005,
|
1230 |
+
"grad_norm": 0.3563915491104126,
|
1231 |
+
"learning_rate": 1.6162042175360713e-05,
|
1232 |
+
"loss": 0.0276,
|
1233 |
+
"step": 1730
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 1.9295618413754854,
|
1237 |
+
"grad_norm": 0.8260300159454346,
|
1238 |
+
"learning_rate": 1.6139844617092123e-05,
|
1239 |
+
"loss": 0.0337,
|
1240 |
+
"step": 1740
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 1.9406544647809207,
|
1244 |
+
"grad_norm": 0.6907551884651184,
|
1245 |
+
"learning_rate": 1.6117647058823533e-05,
|
1246 |
+
"loss": 0.031,
|
1247 |
+
"step": 1750
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 1.9517470881863561,
|
1251 |
+
"grad_norm": 0.5782826542854309,
|
1252 |
+
"learning_rate": 1.609544950055494e-05,
|
1253 |
+
"loss": 0.0419,
|
1254 |
+
"step": 1760
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 1.9628397115917915,
|
1258 |
+
"grad_norm": 0.36368125677108765,
|
1259 |
+
"learning_rate": 1.607325194228635e-05,
|
1260 |
+
"loss": 0.0356,
|
1261 |
+
"step": 1770
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 1.9739323349972269,
|
1265 |
+
"grad_norm": 0.369911789894104,
|
1266 |
+
"learning_rate": 1.605105438401776e-05,
|
1267 |
+
"loss": 0.0264,
|
1268 |
+
"step": 1780
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 1.9850249584026622,
|
1272 |
+
"grad_norm": 0.6072190999984741,
|
1273 |
+
"learning_rate": 1.602885682574917e-05,
|
1274 |
+
"loss": 0.0366,
|
1275 |
+
"step": 1790
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 1.9961175818080976,
|
1279 |
+
"grad_norm": 0.9733797311782837,
|
1280 |
+
"learning_rate": 1.600665926748058e-05,
|
1281 |
+
"loss": 0.0371,
|
1282 |
+
"step": 1800
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 2.0,
|
1286 |
+
"eval_accuracy": 0.8973319824383654,
|
1287 |
+
"eval_f1": 0.6872427983539094,
|
1288 |
+
"eval_loss": 0.31070804595947266,
|
1289 |
+
"eval_precision": 0.8166259168704156,
|
1290 |
+
"eval_recall": 0.5932504440497336,
|
1291 |
+
"eval_runtime": 2.7114,
|
1292 |
+
"eval_samples_per_second": 364.014,
|
1293 |
+
"eval_steps_per_second": 11.433,
|
1294 |
+
"step": 1804
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 2.0066555740432612,
|
1298 |
+
"grad_norm": 0.2766992449760437,
|
1299 |
+
"learning_rate": 1.598446170921199e-05,
|
1300 |
+
"loss": 0.0218,
|
1301 |
+
"step": 1810
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 2.0177481974486966,
|
1305 |
+
"grad_norm": 0.6556938290596008,
|
1306 |
+
"learning_rate": 1.59622641509434e-05,
|
1307 |
+
"loss": 0.0187,
|
1308 |
+
"step": 1820
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 2.028840820854132,
|
1312 |
+
"grad_norm": 0.24634911119937897,
|
1313 |
+
"learning_rate": 1.5940066592674808e-05,
|
1314 |
+
"loss": 0.0132,
|
1315 |
+
"step": 1830
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 2.0399334442595674,
|
1319 |
+
"grad_norm": 0.683587372303009,
|
1320 |
+
"learning_rate": 1.5917869034406218e-05,
|
1321 |
+
"loss": 0.0158,
|
1322 |
+
"step": 1840
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 2.0510260676650027,
|
1326 |
+
"grad_norm": 0.47117751836776733,
|
1327 |
+
"learning_rate": 1.5895671476137625e-05,
|
1328 |
+
"loss": 0.018,
|
1329 |
+
"step": 1850
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 2.062118691070438,
|
1333 |
+
"grad_norm": 0.4102018475532532,
|
1334 |
+
"learning_rate": 1.5873473917869034e-05,
|
1335 |
+
"loss": 0.0153,
|
1336 |
+
"step": 1860
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 2.0732113144758735,
|
1340 |
+
"grad_norm": 0.4639064371585846,
|
1341 |
+
"learning_rate": 1.5851276359600444e-05,
|
1342 |
+
"loss": 0.0171,
|
1343 |
+
"step": 1870
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 2.084303937881309,
|
1347 |
+
"grad_norm": 0.49497199058532715,
|
1348 |
+
"learning_rate": 1.5829078801331854e-05,
|
1349 |
+
"loss": 0.0168,
|
1350 |
+
"step": 1880
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 2.0953965612867442,
|
1354 |
+
"grad_norm": 0.6302080154418945,
|
1355 |
+
"learning_rate": 1.5806881243063264e-05,
|
1356 |
+
"loss": 0.0191,
|
1357 |
+
"step": 1890
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 2.1064891846921796,
|
1361 |
+
"grad_norm": 0.3464473783969879,
|
1362 |
+
"learning_rate": 1.5784683684794674e-05,
|
1363 |
+
"loss": 0.0184,
|
1364 |
+
"step": 1900
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 2.117581808097615,
|
1368 |
+
"grad_norm": 0.6507964730262756,
|
1369 |
+
"learning_rate": 1.5762486126526084e-05,
|
1370 |
+
"loss": 0.0135,
|
1371 |
+
"step": 1910
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 2.1286744315030504,
|
1375 |
+
"grad_norm": 0.1759006232023239,
|
1376 |
+
"learning_rate": 1.5740288568257494e-05,
|
1377 |
+
"loss": 0.0118,
|
1378 |
+
"step": 1920
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 2.1397670549084857,
|
1382 |
+
"grad_norm": 0.5952832698822021,
|
1383 |
+
"learning_rate": 1.5718091009988904e-05,
|
1384 |
+
"loss": 0.0157,
|
1385 |
+
"step": 1930
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 2.150859678313921,
|
1389 |
+
"grad_norm": 0.8094580769538879,
|
1390 |
+
"learning_rate": 1.5695893451720313e-05,
|
1391 |
+
"loss": 0.0125,
|
1392 |
+
"step": 1940
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 2.1619523017193565,
|
1396 |
+
"grad_norm": 0.6284286379814148,
|
1397 |
+
"learning_rate": 1.567369589345172e-05,
|
1398 |
+
"loss": 0.0178,
|
1399 |
+
"step": 1950
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 2.173044925124792,
|
1403 |
+
"grad_norm": 0.6017957925796509,
|
1404 |
+
"learning_rate": 1.565149833518313e-05,
|
1405 |
+
"loss": 0.0136,
|
1406 |
+
"step": 1960
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 2.1841375485302272,
|
1410 |
+
"grad_norm": 1.2836827039718628,
|
1411 |
+
"learning_rate": 1.562930077691454e-05,
|
1412 |
+
"loss": 0.014,
|
1413 |
+
"step": 1970
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 2.1952301719356626,
|
1417 |
+
"grad_norm": 0.6213756203651428,
|
1418 |
+
"learning_rate": 1.560710321864595e-05,
|
1419 |
+
"loss": 0.0136,
|
1420 |
+
"step": 1980
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 2.206322795341098,
|
1424 |
+
"grad_norm": 0.48122018575668335,
|
1425 |
+
"learning_rate": 1.558490566037736e-05,
|
1426 |
+
"loss": 0.0147,
|
1427 |
+
"step": 1990
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 2.2174154187465334,
|
1431 |
+
"grad_norm": 0.7161231637001038,
|
1432 |
+
"learning_rate": 1.556270810210877e-05,
|
1433 |
+
"loss": 0.0105,
|
1434 |
+
"step": 2000
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 2.2285080421519687,
|
1438 |
+
"grad_norm": 0.6598195433616638,
|
1439 |
+
"learning_rate": 1.554051054384018e-05,
|
1440 |
+
"loss": 0.0172,
|
1441 |
+
"step": 2010
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 2.239600665557404,
|
1445 |
+
"grad_norm": 0.6077088117599487,
|
1446 |
+
"learning_rate": 1.551831298557159e-05,
|
1447 |
+
"loss": 0.0144,
|
1448 |
+
"step": 2020
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 2.2506932889628395,
|
1452 |
+
"grad_norm": 0.5622262954711914,
|
1453 |
+
"learning_rate": 1.5496115427303e-05,
|
1454 |
+
"loss": 0.0175,
|
1455 |
+
"step": 2030
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 2.261785912368275,
|
1459 |
+
"grad_norm": 0.1281885802745819,
|
1460 |
+
"learning_rate": 1.547391786903441e-05,
|
1461 |
+
"loss": 0.018,
|
1462 |
+
"step": 2040
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 2.2728785357737102,
|
1466 |
+
"grad_norm": 0.408607542514801,
|
1467 |
+
"learning_rate": 1.5451720310765815e-05,
|
1468 |
+
"loss": 0.0095,
|
1469 |
+
"step": 2050
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 2.283971159179146,
|
1473 |
+
"grad_norm": 0.7786557674407959,
|
1474 |
+
"learning_rate": 1.5429522752497225e-05,
|
1475 |
+
"loss": 0.0163,
|
1476 |
+
"step": 2060
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 2.2950637825845814,
|
1480 |
+
"grad_norm": 0.22975876927375793,
|
1481 |
+
"learning_rate": 1.5407325194228635e-05,
|
1482 |
+
"loss": 0.0193,
|
1483 |
+
"step": 2070
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 2.306156405990017,
|
1487 |
+
"grad_norm": 0.4313502311706543,
|
1488 |
+
"learning_rate": 1.5385127635960048e-05,
|
1489 |
+
"loss": 0.0186,
|
1490 |
+
"step": 2080
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 2.317249029395452,
|
1494 |
+
"grad_norm": 0.794448733329773,
|
1495 |
+
"learning_rate": 1.5362930077691455e-05,
|
1496 |
+
"loss": 0.0159,
|
1497 |
+
"step": 2090
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 2.3283416528008876,
|
1501 |
+
"grad_norm": 0.4191996157169342,
|
1502 |
+
"learning_rate": 1.5340732519422865e-05,
|
1503 |
+
"loss": 0.0208,
|
1504 |
+
"step": 2100
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 2.339434276206323,
|
1508 |
+
"grad_norm": 0.5219516754150391,
|
1509 |
+
"learning_rate": 1.5318534961154274e-05,
|
1510 |
+
"loss": 0.0136,
|
1511 |
+
"step": 2110
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 2.3505268996117583,
|
1515 |
+
"grad_norm": 1.1869897842407227,
|
1516 |
+
"learning_rate": 1.5296337402885684e-05,
|
1517 |
+
"loss": 0.0177,
|
1518 |
+
"step": 2120
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 2.3616195230171937,
|
1522 |
+
"grad_norm": 0.12048923969268799,
|
1523 |
+
"learning_rate": 1.5274139844617094e-05,
|
1524 |
+
"loss": 0.0129,
|
1525 |
+
"step": 2130
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 2.372712146422629,
|
1529 |
+
"grad_norm": 0.5213373899459839,
|
1530 |
+
"learning_rate": 1.5251942286348502e-05,
|
1531 |
+
"loss": 0.0127,
|
1532 |
+
"step": 2140
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 2.3838047698280644,
|
1536 |
+
"grad_norm": 0.43704670667648315,
|
1537 |
+
"learning_rate": 1.5229744728079912e-05,
|
1538 |
+
"loss": 0.0154,
|
1539 |
+
"step": 2150
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 2.3948973932335,
|
1543 |
+
"grad_norm": 0.567150890827179,
|
1544 |
+
"learning_rate": 1.5207547169811324e-05,
|
1545 |
+
"loss": 0.0117,
|
1546 |
+
"step": 2160
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 2.405990016638935,
|
1550 |
+
"grad_norm": 0.571408212184906,
|
1551 |
+
"learning_rate": 1.5185349611542732e-05,
|
1552 |
+
"loss": 0.0152,
|
1553 |
+
"step": 2170
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 2.4170826400443706,
|
1557 |
+
"grad_norm": 0.524834394454956,
|
1558 |
+
"learning_rate": 1.5163152053274142e-05,
|
1559 |
+
"loss": 0.017,
|
1560 |
+
"step": 2180
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 2.428175263449806,
|
1564 |
+
"grad_norm": 0.5026165246963501,
|
1565 |
+
"learning_rate": 1.5140954495005552e-05,
|
1566 |
+
"loss": 0.0193,
|
1567 |
+
"step": 2190
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 2.4392678868552413,
|
1571 |
+
"grad_norm": 0.3944782614707947,
|
1572 |
+
"learning_rate": 1.511875693673696e-05,
|
1573 |
+
"loss": 0.0159,
|
1574 |
+
"step": 2200
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 2.4503605102606767,
|
1578 |
+
"grad_norm": 0.6460635662078857,
|
1579 |
+
"learning_rate": 1.509655937846837e-05,
|
1580 |
+
"loss": 0.0139,
|
1581 |
+
"step": 2210
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 2.461453133666112,
|
1585 |
+
"grad_norm": 0.5573295950889587,
|
1586 |
+
"learning_rate": 1.507436182019978e-05,
|
1587 |
+
"loss": 0.0183,
|
1588 |
+
"step": 2220
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 2.4725457570715474,
|
1592 |
+
"grad_norm": 0.5001458525657654,
|
1593 |
+
"learning_rate": 1.5052164261931188e-05,
|
1594 |
+
"loss": 0.0167,
|
1595 |
+
"step": 2230
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 2.483638380476983,
|
1599 |
+
"grad_norm": 1.0214160680770874,
|
1600 |
+
"learning_rate": 1.5029966703662598e-05,
|
1601 |
+
"loss": 0.0182,
|
1602 |
+
"step": 2240
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 2.494731003882418,
|
1606 |
+
"grad_norm": 0.5756349563598633,
|
1607 |
+
"learning_rate": 1.5007769145394009e-05,
|
1608 |
+
"loss": 0.0164,
|
1609 |
+
"step": 2250
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 2.5058236272878536,
|
1613 |
+
"grad_norm": 0.771986722946167,
|
1614 |
+
"learning_rate": 1.4985571587125419e-05,
|
1615 |
+
"loss": 0.0183,
|
1616 |
+
"step": 2260
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 2.516916250693289,
|
1620 |
+
"grad_norm": 0.5560303926467896,
|
1621 |
+
"learning_rate": 1.4963374028856827e-05,
|
1622 |
+
"loss": 0.0178,
|
1623 |
+
"step": 2270
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 2.5280088740987243,
|
1627 |
+
"grad_norm": 0.8550804853439331,
|
1628 |
+
"learning_rate": 1.4941176470588237e-05,
|
1629 |
+
"loss": 0.0118,
|
1630 |
+
"step": 2280
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 2.5391014975041597,
|
1634 |
+
"grad_norm": 0.8129355907440186,
|
1635 |
+
"learning_rate": 1.4918978912319645e-05,
|
1636 |
+
"loss": 0.0126,
|
1637 |
+
"step": 2290
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 2.550194120909595,
|
1641 |
+
"grad_norm": 1.176377773284912,
|
1642 |
+
"learning_rate": 1.4896781354051055e-05,
|
1643 |
+
"loss": 0.0126,
|
1644 |
+
"step": 2300
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 2.5612867443150305,
|
1648 |
+
"grad_norm": 0.1419341266155243,
|
1649 |
+
"learning_rate": 1.4874583795782465e-05,
|
1650 |
+
"loss": 0.0196,
|
1651 |
+
"step": 2310
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 2.572379367720466,
|
1655 |
+
"grad_norm": 1.4311761856079102,
|
1656 |
+
"learning_rate": 1.4852386237513873e-05,
|
1657 |
+
"loss": 0.0143,
|
1658 |
+
"step": 2320
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 2.583471991125901,
|
1662 |
+
"grad_norm": 0.9924690127372742,
|
1663 |
+
"learning_rate": 1.4830188679245283e-05,
|
1664 |
+
"loss": 0.0198,
|
1665 |
+
"step": 2330
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 2.5945646145313366,
|
1669 |
+
"grad_norm": 0.6496040225028992,
|
1670 |
+
"learning_rate": 1.4807991120976695e-05,
|
1671 |
+
"loss": 0.014,
|
1672 |
+
"step": 2340
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 2.605657237936772,
|
1676 |
+
"grad_norm": 0.2335842400789261,
|
1677 |
+
"learning_rate": 1.4785793562708104e-05,
|
1678 |
+
"loss": 0.0128,
|
1679 |
+
"step": 2350
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 2.6167498613422073,
|
1683 |
+
"grad_norm": 0.6549142003059387,
|
1684 |
+
"learning_rate": 1.4763596004439513e-05,
|
1685 |
+
"loss": 0.019,
|
1686 |
+
"step": 2360
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 2.6278424847476427,
|
1690 |
+
"grad_norm": 0.3264187276363373,
|
1691 |
+
"learning_rate": 1.4741398446170922e-05,
|
1692 |
+
"loss": 0.0168,
|
1693 |
+
"step": 2370
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 2.638935108153078,
|
1697 |
+
"grad_norm": 0.4175679683685303,
|
1698 |
+
"learning_rate": 1.4719200887902332e-05,
|
1699 |
+
"loss": 0.0122,
|
1700 |
+
"step": 2380
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 2.6500277315585135,
|
1704 |
+
"grad_norm": 0.2968366742134094,
|
1705 |
+
"learning_rate": 1.469700332963374e-05,
|
1706 |
+
"loss": 0.0189,
|
1707 |
+
"step": 2390
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 2.661120354963949,
|
1711 |
+
"grad_norm": 1.5489327907562256,
|
1712 |
+
"learning_rate": 1.467480577136515e-05,
|
1713 |
+
"loss": 0.0158,
|
1714 |
+
"step": 2400
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 2.672212978369384,
|
1718 |
+
"grad_norm": 0.8017039895057678,
|
1719 |
+
"learning_rate": 1.465260821309656e-05,
|
1720 |
+
"loss": 0.0178,
|
1721 |
+
"step": 2410
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 2.6833056017748196,
|
1725 |
+
"grad_norm": 0.6136099100112915,
|
1726 |
+
"learning_rate": 1.4630410654827972e-05,
|
1727 |
+
"loss": 0.0164,
|
1728 |
+
"step": 2420
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 2.6943982251802554,
|
1732 |
+
"grad_norm": 0.5461011528968811,
|
1733 |
+
"learning_rate": 1.460821309655938e-05,
|
1734 |
+
"loss": 0.0168,
|
1735 |
+
"step": 2430
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 2.7054908485856908,
|
1739 |
+
"grad_norm": 0.2680525779724121,
|
1740 |
+
"learning_rate": 1.458601553829079e-05,
|
1741 |
+
"loss": 0.0138,
|
1742 |
+
"step": 2440
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 2.716583471991126,
|
1746 |
+
"grad_norm": 0.6884289383888245,
|
1747 |
+
"learning_rate": 1.45638179800222e-05,
|
1748 |
+
"loss": 0.0145,
|
1749 |
+
"step": 2450
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 2.7276760953965615,
|
1753 |
+
"grad_norm": 1.226928472518921,
|
1754 |
+
"learning_rate": 1.4541620421753608e-05,
|
1755 |
+
"loss": 0.0145,
|
1756 |
+
"step": 2460
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 2.738768718801997,
|
1760 |
+
"grad_norm": 0.447221040725708,
|
1761 |
+
"learning_rate": 1.4519422863485018e-05,
|
1762 |
+
"loss": 0.0168,
|
1763 |
+
"step": 2470
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 2.7498613422074323,
|
1767 |
+
"grad_norm": 0.47167718410491943,
|
1768 |
+
"learning_rate": 1.4497225305216428e-05,
|
1769 |
+
"loss": 0.0124,
|
1770 |
+
"step": 2480
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 2.7609539656128677,
|
1774 |
+
"grad_norm": 1.326282262802124,
|
1775 |
+
"learning_rate": 1.4475027746947836e-05,
|
1776 |
+
"loss": 0.0183,
|
1777 |
+
"step": 2490
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 2.772046589018303,
|
1781 |
+
"grad_norm": 0.9036744236946106,
|
1782 |
+
"learning_rate": 1.4452830188679246e-05,
|
1783 |
+
"loss": 0.023,
|
1784 |
+
"step": 2500
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 2.7831392124237384,
|
1788 |
+
"grad_norm": 0.30263999104499817,
|
1789 |
+
"learning_rate": 1.4430632630410657e-05,
|
1790 |
+
"loss": 0.0163,
|
1791 |
+
"step": 2510
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 2.794231835829174,
|
1795 |
+
"grad_norm": 0.7316049933433533,
|
1796 |
+
"learning_rate": 1.4408435072142067e-05,
|
1797 |
+
"loss": 0.0156,
|
1798 |
+
"step": 2520
|
1799 |
+
},
|
1800 |
+
{
|
1801 |
+
"epoch": 2.805324459234609,
|
1802 |
+
"grad_norm": 0.8268038630485535,
|
1803 |
+
"learning_rate": 1.4386237513873475e-05,
|
1804 |
+
"loss": 0.0169,
|
1805 |
+
"step": 2530
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 2.8164170826400445,
|
1809 |
+
"grad_norm": 0.633816659450531,
|
1810 |
+
"learning_rate": 1.4364039955604885e-05,
|
1811 |
+
"loss": 0.0147,
|
1812 |
+
"step": 2540
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 2.82750970604548,
|
1816 |
+
"grad_norm": 0.43913397192955017,
|
1817 |
+
"learning_rate": 1.4341842397336295e-05,
|
1818 |
+
"loss": 0.0122,
|
1819 |
+
"step": 2550
|
1820 |
+
},
|
1821 |
+
{
|
1822 |
+
"epoch": 2.8386023294509153,
|
1823 |
+
"grad_norm": 0.37594836950302124,
|
1824 |
+
"learning_rate": 1.4319644839067703e-05,
|
1825 |
+
"loss": 0.0149,
|
1826 |
+
"step": 2560
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 2.8496949528563507,
|
1830 |
+
"grad_norm": 0.5090307593345642,
|
1831 |
+
"learning_rate": 1.4297447280799113e-05,
|
1832 |
+
"loss": 0.015,
|
1833 |
+
"step": 2570
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 2.860787576261786,
|
1837 |
+
"grad_norm": 0.47723984718322754,
|
1838 |
+
"learning_rate": 1.4275249722530521e-05,
|
1839 |
+
"loss": 0.0166,
|
1840 |
+
"step": 2580
|
1841 |
+
},
|
1842 |
+
{
|
1843 |
+
"epoch": 2.8718801996672214,
|
1844 |
+
"grad_norm": 1.2512151002883911,
|
1845 |
+
"learning_rate": 1.4253052164261931e-05,
|
1846 |
+
"loss": 0.0136,
|
1847 |
+
"step": 2590
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 2.882972823072657,
|
1851 |
+
"grad_norm": 0.676337718963623,
|
1852 |
+
"learning_rate": 1.4230854605993343e-05,
|
1853 |
+
"loss": 0.0152,
|
1854 |
+
"step": 2600
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 2.894065446478092,
|
1858 |
+
"grad_norm": 0.7379328012466431,
|
1859 |
+
"learning_rate": 1.4208657047724752e-05,
|
1860 |
+
"loss": 0.0182,
|
1861 |
+
"step": 2610
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"epoch": 2.9051580698835275,
|
1865 |
+
"grad_norm": 0.8266171813011169,
|
1866 |
+
"learning_rate": 1.418645948945616e-05,
|
1867 |
+
"loss": 0.0207,
|
1868 |
+
"step": 2620
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 2.916250693288963,
|
1872 |
+
"grad_norm": 0.9925495982170105,
|
1873 |
+
"learning_rate": 1.416426193118757e-05,
|
1874 |
+
"loss": 0.0157,
|
1875 |
+
"step": 2630
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 2.9273433166943983,
|
1879 |
+
"grad_norm": 1.1120530366897583,
|
1880 |
+
"learning_rate": 1.414206437291898e-05,
|
1881 |
+
"loss": 0.0164,
|
1882 |
+
"step": 2640
|
1883 |
+
},
|
1884 |
+
{
|
1885 |
+
"epoch": 2.9384359400998337,
|
1886 |
+
"grad_norm": 0.9687446355819702,
|
1887 |
+
"learning_rate": 1.4119866814650389e-05,
|
1888 |
+
"loss": 0.0211,
|
1889 |
+
"step": 2650
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 2.949528563505269,
|
1893 |
+
"grad_norm": 0.19811566174030304,
|
1894 |
+
"learning_rate": 1.4097669256381798e-05,
|
1895 |
+
"loss": 0.0181,
|
1896 |
+
"step": 2660
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 2.9606211869107044,
|
1900 |
+
"grad_norm": 0.9253482818603516,
|
1901 |
+
"learning_rate": 1.4075471698113208e-05,
|
1902 |
+
"loss": 0.0158,
|
1903 |
+
"step": 2670
|
1904 |
+
},
|
1905 |
+
{
|
1906 |
+
"epoch": 2.97171381031614,
|
1907 |
+
"grad_norm": 0.677994430065155,
|
1908 |
+
"learning_rate": 1.405327413984462e-05,
|
1909 |
+
"loss": 0.024,
|
1910 |
+
"step": 2680
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 2.982806433721575,
|
1914 |
+
"grad_norm": 0.3959580361843109,
|
1915 |
+
"learning_rate": 1.4031076581576028e-05,
|
1916 |
+
"loss": 0.009,
|
1917 |
+
"step": 2690
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 2.9938990571270105,
|
1921 |
+
"grad_norm": 1.0569937229156494,
|
1922 |
+
"learning_rate": 1.4008879023307438e-05,
|
1923 |
+
"loss": 0.0187,
|
1924 |
+
"step": 2700
|
1925 |
+
},
|
1926 |
+
{
|
1927 |
+
"epoch": 3.0,
|
1928 |
+
"eval_accuracy": 0.8888888888888888,
|
1929 |
+
"eval_f1": 0.7171109200343938,
|
1930 |
+
"eval_loss": 0.3638182580471039,
|
1931 |
+
"eval_precision": 0.695,
|
1932 |
+
"eval_recall": 0.7406749555950266,
|
1933 |
+
"eval_runtime": 2.7252,
|
1934 |
+
"eval_samples_per_second": 362.177,
|
1935 |
+
"eval_steps_per_second": 11.375,
|
1936 |
+
"step": 2706
|
1937 |
+
},
|
1938 |
+
{
|
1939 |
+
"epoch": 3.004437049362174,
|
1940 |
+
"grad_norm": 0.22475391626358032,
|
1941 |
+
"learning_rate": 1.3986681465038848e-05,
|
1942 |
+
"loss": 0.0127,
|
1943 |
+
"step": 2710
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"epoch": 3.0155296727676095,
|
1947 |
+
"grad_norm": 0.42929062247276306,
|
1948 |
+
"learning_rate": 1.3964483906770256e-05,
|
1949 |
+
"loss": 0.0131,
|
1950 |
+
"step": 2720
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 3.026622296173045,
|
1954 |
+
"grad_norm": 2.398026466369629,
|
1955 |
+
"learning_rate": 1.3942286348501666e-05,
|
1956 |
+
"loss": 0.0072,
|
1957 |
+
"step": 2730
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"epoch": 3.0377149195784803,
|
1961 |
+
"grad_norm": 0.14908376336097717,
|
1962 |
+
"learning_rate": 1.3920088790233076e-05,
|
1963 |
+
"loss": 0.0082,
|
1964 |
+
"step": 2740
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 3.0488075429839157,
|
1968 |
+
"grad_norm": 0.8177769184112549,
|
1969 |
+
"learning_rate": 1.3897891231964484e-05,
|
1970 |
+
"loss": 0.0088,
|
1971 |
+
"step": 2750
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 3.059900166389351,
|
1975 |
+
"grad_norm": 0.13737396895885468,
|
1976 |
+
"learning_rate": 1.3875693673695894e-05,
|
1977 |
+
"loss": 0.008,
|
1978 |
+
"step": 2760
|
1979 |
+
},
|
1980 |
+
{
|
1981 |
+
"epoch": 3.0709927897947864,
|
1982 |
+
"grad_norm": 0.7825105786323547,
|
1983 |
+
"learning_rate": 1.3853496115427305e-05,
|
1984 |
+
"loss": 0.0034,
|
1985 |
+
"step": 2770
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 3.082085413200222,
|
1989 |
+
"grad_norm": 0.42062872648239136,
|
1990 |
+
"learning_rate": 1.3831298557158715e-05,
|
1991 |
+
"loss": 0.0062,
|
1992 |
+
"step": 2780
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 3.093178036605657,
|
1996 |
+
"grad_norm": 0.7224815487861633,
|
1997 |
+
"learning_rate": 1.3809100998890123e-05,
|
1998 |
+
"loss": 0.0055,
|
1999 |
+
"step": 2790
|
2000 |
+
},
|
2001 |
+
{
|
2002 |
+
"epoch": 3.1042706600110925,
|
2003 |
+
"grad_norm": 0.04094177484512329,
|
2004 |
+
"learning_rate": 1.3786903440621533e-05,
|
2005 |
+
"loss": 0.002,
|
2006 |
+
"step": 2800
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 3.115363283416528,
|
2010 |
+
"grad_norm": 0.03310002386569977,
|
2011 |
+
"learning_rate": 1.3764705882352943e-05,
|
2012 |
+
"loss": 0.0055,
|
2013 |
+
"step": 2810
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 3.1264559068219633,
|
2017 |
+
"grad_norm": 0.5118809938430786,
|
2018 |
+
"learning_rate": 1.3742508324084351e-05,
|
2019 |
+
"loss": 0.0054,
|
2020 |
+
"step": 2820
|
2021 |
+
},
|
2022 |
+
{
|
2023 |
+
"epoch": 3.1375485302273987,
|
2024 |
+
"grad_norm": 0.5759711861610413,
|
2025 |
+
"learning_rate": 1.3720310765815761e-05,
|
2026 |
+
"loss": 0.0086,
|
2027 |
+
"step": 2830
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 3.148641153632834,
|
2031 |
+
"grad_norm": 1.1310100555419922,
|
2032 |
+
"learning_rate": 1.3698113207547171e-05,
|
2033 |
+
"loss": 0.0091,
|
2034 |
+
"step": 2840
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 3.1597337770382694,
|
2038 |
+
"grad_norm": 0.04265379533171654,
|
2039 |
+
"learning_rate": 1.3675915649278579e-05,
|
2040 |
+
"loss": 0.0061,
|
2041 |
+
"step": 2850
|
2042 |
+
},
|
2043 |
+
{
|
2044 |
+
"epoch": 3.170826400443705,
|
2045 |
+
"grad_norm": 0.6648514270782471,
|
2046 |
+
"learning_rate": 1.365371809100999e-05,
|
2047 |
+
"loss": 0.0035,
|
2048 |
+
"step": 2860
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 3.18191902384914,
|
2052 |
+
"grad_norm": 0.02486938051879406,
|
2053 |
+
"learning_rate": 1.36315205327414e-05,
|
2054 |
+
"loss": 0.0055,
|
2055 |
+
"step": 2870
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 3.1930116472545755,
|
2059 |
+
"grad_norm": 0.5384965538978577,
|
2060 |
+
"learning_rate": 1.3609322974472809e-05,
|
2061 |
+
"loss": 0.0029,
|
2062 |
+
"step": 2880
|
2063 |
+
},
|
2064 |
+
{
|
2065 |
+
"epoch": 3.204104270660011,
|
2066 |
+
"grad_norm": 0.6231627464294434,
|
2067 |
+
"learning_rate": 1.3587125416204219e-05,
|
2068 |
+
"loss": 0.005,
|
2069 |
+
"step": 2890
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 3.2151968940654463,
|
2073 |
+
"grad_norm": 0.5190199613571167,
|
2074 |
+
"learning_rate": 1.3564927857935628e-05,
|
2075 |
+
"loss": 0.0083,
|
2076 |
+
"step": 2900
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 3.2262895174708817,
|
2080 |
+
"grad_norm": 0.39337947964668274,
|
2081 |
+
"learning_rate": 1.3542730299667037e-05,
|
2082 |
+
"loss": 0.0081,
|
2083 |
+
"step": 2910
|
2084 |
+
},
|
2085 |
+
{
|
2086 |
+
"epoch": 3.237382140876317,
|
2087 |
+
"grad_norm": 0.6862775683403015,
|
2088 |
+
"learning_rate": 1.3520532741398446e-05,
|
2089 |
+
"loss": 0.0074,
|
2090 |
+
"step": 2920
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 3.2484747642817524,
|
2094 |
+
"grad_norm": 1.0862469673156738,
|
2095 |
+
"learning_rate": 1.3498335183129856e-05,
|
2096 |
+
"loss": 0.0074,
|
2097 |
+
"step": 2930
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 3.259567387687188,
|
2101 |
+
"grad_norm": 1.1846354007720947,
|
2102 |
+
"learning_rate": 1.3476137624861268e-05,
|
2103 |
+
"loss": 0.0075,
|
2104 |
+
"step": 2940
|
2105 |
+
},
|
2106 |
+
{
|
2107 |
+
"epoch": 3.270660011092623,
|
2108 |
+
"grad_norm": 1.2481039762496948,
|
2109 |
+
"learning_rate": 1.3453940066592676e-05,
|
2110 |
+
"loss": 0.003,
|
2111 |
+
"step": 2950
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 3.281752634498059,
|
2115 |
+
"grad_norm": 0.3161996006965637,
|
2116 |
+
"learning_rate": 1.3431742508324086e-05,
|
2117 |
+
"loss": 0.0034,
|
2118 |
+
"step": 2960
|
2119 |
+
},
|
2120 |
+
{
|
2121 |
+
"epoch": 3.2928452579034944,
|
2122 |
+
"grad_norm": 0.6262934803962708,
|
2123 |
+
"learning_rate": 1.3409544950055496e-05,
|
2124 |
+
"loss": 0.0107,
|
2125 |
+
"step": 2970
|
2126 |
+
},
|
2127 |
+
{
|
2128 |
+
"epoch": 3.3039378813089297,
|
2129 |
+
"grad_norm": 0.9278308153152466,
|
2130 |
+
"learning_rate": 1.3387347391786904e-05,
|
2131 |
+
"loss": 0.0057,
|
2132 |
+
"step": 2980
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 3.315030504714365,
|
2136 |
+
"grad_norm": 0.40893518924713135,
|
2137 |
+
"learning_rate": 1.3365149833518314e-05,
|
2138 |
+
"loss": 0.0041,
|
2139 |
+
"step": 2990
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 3.3261231281198005,
|
2143 |
+
"grad_norm": 0.6295328736305237,
|
2144 |
+
"learning_rate": 1.3342952275249724e-05,
|
2145 |
+
"loss": 0.0032,
|
2146 |
+
"step": 3000
|
2147 |
+
},
|
2148 |
+
{
|
2149 |
+
"epoch": 3.337215751525236,
|
2150 |
+
"grad_norm": 0.039073534309864044,
|
2151 |
+
"learning_rate": 1.3320754716981132e-05,
|
2152 |
+
"loss": 0.0067,
|
2153 |
+
"step": 3010
|
2154 |
+
},
|
2155 |
+
{
|
2156 |
+
"epoch": 3.3483083749306712,
|
2157 |
+
"grad_norm": 0.5157305002212524,
|
2158 |
+
"learning_rate": 1.3298557158712542e-05,
|
2159 |
+
"loss": 0.0093,
|
2160 |
+
"step": 3020
|
2161 |
+
},
|
2162 |
+
{
|
2163 |
+
"epoch": 3.3594009983361066,
|
2164 |
+
"grad_norm": 0.9451714158058167,
|
2165 |
+
"learning_rate": 1.3276359600443953e-05,
|
2166 |
+
"loss": 0.0064,
|
2167 |
+
"step": 3030
|
2168 |
+
},
|
2169 |
+
{
|
2170 |
+
"epoch": 3.370493621741542,
|
2171 |
+
"grad_norm": 0.043243326246738434,
|
2172 |
+
"learning_rate": 1.3254162042175363e-05,
|
2173 |
+
"loss": 0.0062,
|
2174 |
+
"step": 3040
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 3.3815862451469774,
|
2178 |
+
"grad_norm": 1.2751350402832031,
|
2179 |
+
"learning_rate": 1.3231964483906771e-05,
|
2180 |
+
"loss": 0.011,
|
2181 |
+
"step": 3050
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"epoch": 3.3926788685524127,
|
2185 |
+
"grad_norm": 1.1212610006332397,
|
2186 |
+
"learning_rate": 1.3209766925638181e-05,
|
2187 |
+
"loss": 0.008,
|
2188 |
+
"step": 3060
|
2189 |
+
},
|
2190 |
+
{
|
2191 |
+
"epoch": 3.403771491957848,
|
2192 |
+
"grad_norm": 0.3985590934753418,
|
2193 |
+
"learning_rate": 1.3187569367369591e-05,
|
2194 |
+
"loss": 0.0066,
|
2195 |
+
"step": 3070
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"epoch": 3.4148641153632835,
|
2199 |
+
"grad_norm": 0.6546558737754822,
|
2200 |
+
"learning_rate": 1.3165371809101e-05,
|
2201 |
+
"loss": 0.0115,
|
2202 |
+
"step": 3080
|
2203 |
+
},
|
2204 |
+
{
|
2205 |
+
"epoch": 3.425956738768719,
|
2206 |
+
"grad_norm": 1.0568732023239136,
|
2207 |
+
"learning_rate": 1.3143174250832409e-05,
|
2208 |
+
"loss": 0.0104,
|
2209 |
+
"step": 3090
|
2210 |
+
},
|
2211 |
+
{
|
2212 |
+
"epoch": 3.4370493621741542,
|
2213 |
+
"grad_norm": 0.9182056188583374,
|
2214 |
+
"learning_rate": 1.3120976692563819e-05,
|
2215 |
+
"loss": 0.0079,
|
2216 |
+
"step": 3100
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 3.4481419855795896,
|
2220 |
+
"grad_norm": 1.700160026550293,
|
2221 |
+
"learning_rate": 1.3098779134295227e-05,
|
2222 |
+
"loss": 0.0061,
|
2223 |
+
"step": 3110
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"epoch": 3.459234608985025,
|
2227 |
+
"grad_norm": 0.09296636283397675,
|
2228 |
+
"learning_rate": 1.3076581576026639e-05,
|
2229 |
+
"loss": 0.0106,
|
2230 |
+
"step": 3120
|
2231 |
+
},
|
2232 |
+
{
|
2233 |
+
"epoch": 3.4703272323904604,
|
2234 |
+
"grad_norm": 0.8721600770950317,
|
2235 |
+
"learning_rate": 1.3054384017758049e-05,
|
2236 |
+
"loss": 0.0058,
|
2237 |
+
"step": 3130
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"epoch": 3.4814198557958957,
|
2241 |
+
"grad_norm": 0.5778414607048035,
|
2242 |
+
"learning_rate": 1.3032186459489457e-05,
|
2243 |
+
"loss": 0.0075,
|
2244 |
+
"step": 3140
|
2245 |
+
},
|
2246 |
+
{
|
2247 |
+
"epoch": 3.492512479201331,
|
2248 |
+
"grad_norm": 0.632172167301178,
|
2249 |
+
"learning_rate": 1.3009988901220867e-05,
|
2250 |
+
"loss": 0.0057,
|
2251 |
+
"step": 3150
|
2252 |
+
},
|
2253 |
+
{
|
2254 |
+
"epoch": 3.5036051026067665,
|
2255 |
+
"grad_norm": 0.49320322275161743,
|
2256 |
+
"learning_rate": 1.2987791342952276e-05,
|
2257 |
+
"loss": 0.0065,
|
2258 |
+
"step": 3160
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 3.514697726012202,
|
2262 |
+
"grad_norm": 1.2454118728637695,
|
2263 |
+
"learning_rate": 1.2965593784683685e-05,
|
2264 |
+
"loss": 0.0049,
|
2265 |
+
"step": 3170
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 3.5257903494176372,
|
2269 |
+
"grad_norm": 0.16420379281044006,
|
2270 |
+
"learning_rate": 1.2943396226415095e-05,
|
2271 |
+
"loss": 0.0042,
|
2272 |
+
"step": 3180
|
2273 |
+
},
|
2274 |
+
{
|
2275 |
+
"epoch": 3.5368829728230726,
|
2276 |
+
"grad_norm": 0.7556213736534119,
|
2277 |
+
"learning_rate": 1.2921198668146504e-05,
|
2278 |
+
"loss": 0.0076,
|
2279 |
+
"step": 3190
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"epoch": 3.547975596228508,
|
2283 |
+
"grad_norm": 0.7741811871528625,
|
2284 |
+
"learning_rate": 1.2899001109877916e-05,
|
2285 |
+
"loss": 0.0053,
|
2286 |
+
"step": 3200
|
2287 |
+
},
|
2288 |
+
{
|
2289 |
+
"epoch": 3.5590682196339434,
|
2290 |
+
"grad_norm": 0.3981403708457947,
|
2291 |
+
"learning_rate": 1.2876803551609324e-05,
|
2292 |
+
"loss": 0.0111,
|
2293 |
+
"step": 3210
|
2294 |
+
},
|
2295 |
+
{
|
2296 |
+
"epoch": 3.5701608430393788,
|
2297 |
+
"grad_norm": 1.556243658065796,
|
2298 |
+
"learning_rate": 1.2854605993340734e-05,
|
2299 |
+
"loss": 0.0082,
|
2300 |
+
"step": 3220
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 3.581253466444814,
|
2304 |
+
"grad_norm": 0.24557125568389893,
|
2305 |
+
"learning_rate": 1.2832408435072144e-05,
|
2306 |
+
"loss": 0.0048,
|
2307 |
+
"step": 3230
|
2308 |
+
},
|
2309 |
+
{
|
2310 |
+
"epoch": 3.5923460898502495,
|
2311 |
+
"grad_norm": 1.2477893829345703,
|
2312 |
+
"learning_rate": 1.2810210876803552e-05,
|
2313 |
+
"loss": 0.0023,
|
2314 |
+
"step": 3240
|
2315 |
+
},
|
2316 |
+
{
|
2317 |
+
"epoch": 3.603438713255685,
|
2318 |
+
"grad_norm": 0.04675845056772232,
|
2319 |
+
"learning_rate": 1.2788013318534962e-05,
|
2320 |
+
"loss": 0.0041,
|
2321 |
+
"step": 3250
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"epoch": 3.6145313366611203,
|
2325 |
+
"grad_norm": 0.571173906326294,
|
2326 |
+
"learning_rate": 1.2765815760266372e-05,
|
2327 |
+
"loss": 0.0055,
|
2328 |
+
"step": 3260
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 3.6256239600665556,
|
2332 |
+
"grad_norm": 0.5565969944000244,
|
2333 |
+
"learning_rate": 1.274361820199778e-05,
|
2334 |
+
"loss": 0.0092,
|
2335 |
+
"step": 3270
|
2336 |
+
},
|
2337 |
+
{
|
2338 |
+
"epoch": 3.636716583471991,
|
2339 |
+
"grad_norm": 0.013311430811882019,
|
2340 |
+
"learning_rate": 1.272142064372919e-05,
|
2341 |
+
"loss": 0.0071,
|
2342 |
+
"step": 3280
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 3.6478092068774264,
|
2346 |
+
"grad_norm": 1.6714210510253906,
|
2347 |
+
"learning_rate": 1.2699223085460601e-05,
|
2348 |
+
"loss": 0.0069,
|
2349 |
+
"step": 3290
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"epoch": 3.6589018302828618,
|
2353 |
+
"grad_norm": 0.7213656306266785,
|
2354 |
+
"learning_rate": 1.2677025527192011e-05,
|
2355 |
+
"loss": 0.0053,
|
2356 |
+
"step": 3300
|
2357 |
+
},
|
2358 |
+
{
|
2359 |
+
"epoch": 3.669994453688297,
|
2360 |
+
"grad_norm": 0.9073006510734558,
|
2361 |
+
"learning_rate": 1.265482796892342e-05,
|
2362 |
+
"loss": 0.0101,
|
2363 |
+
"step": 3310
|
2364 |
+
},
|
2365 |
+
{
|
2366 |
+
"epoch": 3.6810870770937325,
|
2367 |
+
"grad_norm": 0.29895493388175964,
|
2368 |
+
"learning_rate": 1.263263041065483e-05,
|
2369 |
+
"loss": 0.0052,
|
2370 |
+
"step": 3320
|
2371 |
+
},
|
2372 |
+
{
|
2373 |
+
"epoch": 3.6921797004991683,
|
2374 |
+
"grad_norm": 1.0842756032943726,
|
2375 |
+
"learning_rate": 1.2610432852386239e-05,
|
2376 |
+
"loss": 0.008,
|
2377 |
+
"step": 3330
|
2378 |
+
},
|
2379 |
+
{
|
2380 |
+
"epoch": 3.7032723239046037,
|
2381 |
+
"grad_norm": 0.7172666192054749,
|
2382 |
+
"learning_rate": 1.2588235294117647e-05,
|
2383 |
+
"loss": 0.01,
|
2384 |
+
"step": 3340
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 3.714364947310039,
|
2388 |
+
"grad_norm": 0.10475369542837143,
|
2389 |
+
"learning_rate": 1.2566037735849057e-05,
|
2390 |
+
"loss": 0.0063,
|
2391 |
+
"step": 3350
|
2392 |
+
},
|
2393 |
+
{
|
2394 |
+
"epoch": 3.7254575707154745,
|
2395 |
+
"grad_norm": 0.9639983177185059,
|
2396 |
+
"learning_rate": 1.2543840177580467e-05,
|
2397 |
+
"loss": 0.0059,
|
2398 |
+
"step": 3360
|
2399 |
+
},
|
2400 |
+
{
|
2401 |
+
"epoch": 3.73655019412091,
|
2402 |
+
"grad_norm": 0.9579765796661377,
|
2403 |
+
"learning_rate": 1.2521642619311875e-05,
|
2404 |
+
"loss": 0.0053,
|
2405 |
+
"step": 3370
|
2406 |
+
},
|
2407 |
+
{
|
2408 |
+
"epoch": 3.747642817526345,
|
2409 |
+
"grad_norm": 0.14046674966812134,
|
2410 |
+
"learning_rate": 1.2499445061043287e-05,
|
2411 |
+
"loss": 0.0081,
|
2412 |
+
"step": 3380
|
2413 |
+
},
|
2414 |
+
{
|
2415 |
+
"epoch": 3.7587354409317806,
|
2416 |
+
"grad_norm": 0.4136715233325958,
|
2417 |
+
"learning_rate": 1.2477247502774697e-05,
|
2418 |
+
"loss": 0.0101,
|
2419 |
+
"step": 3390
|
2420 |
+
},
|
2421 |
+
{
|
2422 |
+
"epoch": 3.769828064337216,
|
2423 |
+
"grad_norm": 0.30935949087142944,
|
2424 |
+
"learning_rate": 1.2455049944506107e-05,
|
2425 |
+
"loss": 0.0046,
|
2426 |
+
"step": 3400
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 3.7809206877426513,
|
2430 |
+
"grad_norm": 0.25942277908325195,
|
2431 |
+
"learning_rate": 1.2432852386237515e-05,
|
2432 |
+
"loss": 0.006,
|
2433 |
+
"step": 3410
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 3.7920133111480867,
|
2437 |
+
"grad_norm": 0.08538083732128143,
|
2438 |
+
"learning_rate": 1.2410654827968925e-05,
|
2439 |
+
"loss": 0.0038,
|
2440 |
+
"step": 3420
|
2441 |
+
},
|
2442 |
+
{
|
2443 |
+
"epoch": 3.803105934553522,
|
2444 |
+
"grad_norm": 0.11854628473520279,
|
2445 |
+
"learning_rate": 1.2388457269700334e-05,
|
2446 |
+
"loss": 0.0038,
|
2447 |
+
"step": 3430
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"epoch": 3.8141985579589575,
|
2451 |
+
"grad_norm": 0.2808975279331207,
|
2452 |
+
"learning_rate": 1.2366259711431743e-05,
|
2453 |
+
"loss": 0.0093,
|
2454 |
+
"step": 3440
|
2455 |
+
},
|
2456 |
+
{
|
2457 |
+
"epoch": 3.825291181364393,
|
2458 |
+
"grad_norm": 1.0285228490829468,
|
2459 |
+
"learning_rate": 1.2344062153163152e-05,
|
2460 |
+
"loss": 0.0101,
|
2461 |
+
"step": 3450
|
2462 |
+
},
|
2463 |
+
{
|
2464 |
+
"epoch": 3.836383804769828,
|
2465 |
+
"grad_norm": 0.43529564142227173,
|
2466 |
+
"learning_rate": 1.2321864594894564e-05,
|
2467 |
+
"loss": 0.0057,
|
2468 |
+
"step": 3460
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 3.8474764281752636,
|
2472 |
+
"grad_norm": 2.0706746578216553,
|
2473 |
+
"learning_rate": 1.2299667036625972e-05,
|
2474 |
+
"loss": 0.0079,
|
2475 |
+
"step": 3470
|
2476 |
+
},
|
2477 |
+
{
|
2478 |
+
"epoch": 3.858569051580699,
|
2479 |
+
"grad_norm": 0.9805829524993896,
|
2480 |
+
"learning_rate": 1.2277469478357382e-05,
|
2481 |
+
"loss": 0.0116,
|
2482 |
+
"step": 3480
|
2483 |
+
},
|
2484 |
+
{
|
2485 |
+
"epoch": 3.8696616749861343,
|
2486 |
+
"grad_norm": 0.754189133644104,
|
2487 |
+
"learning_rate": 1.2255271920088792e-05,
|
2488 |
+
"loss": 0.0056,
|
2489 |
+
"step": 3490
|
2490 |
+
},
|
2491 |
+
{
|
2492 |
+
"epoch": 3.8807542983915697,
|
2493 |
+
"grad_norm": 0.9179038405418396,
|
2494 |
+
"learning_rate": 1.22330743618202e-05,
|
2495 |
+
"loss": 0.0079,
|
2496 |
+
"step": 3500
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 3.891846921797005,
|
2500 |
+
"grad_norm": 1.5467790365219116,
|
2501 |
+
"learning_rate": 1.221087680355161e-05,
|
2502 |
+
"loss": 0.009,
|
2503 |
+
"step": 3510
|
2504 |
+
},
|
2505 |
+
{
|
2506 |
+
"epoch": 3.9029395452024405,
|
2507 |
+
"grad_norm": 0.44232311844825745,
|
2508 |
+
"learning_rate": 1.218867924528302e-05,
|
2509 |
+
"loss": 0.0072,
|
2510 |
+
"step": 3520
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 3.914032168607876,
|
2514 |
+
"grad_norm": 0.05650203302502632,
|
2515 |
+
"learning_rate": 1.2166481687014428e-05,
|
2516 |
+
"loss": 0.0053,
|
2517 |
+
"step": 3530
|
2518 |
+
},
|
2519 |
+
{
|
2520 |
+
"epoch": 3.925124792013311,
|
2521 |
+
"grad_norm": 0.6348217129707336,
|
2522 |
+
"learning_rate": 1.2144284128745838e-05,
|
2523 |
+
"loss": 0.009,
|
2524 |
+
"step": 3540
|
2525 |
+
},
|
2526 |
+
{
|
2527 |
+
"epoch": 3.9362174154187466,
|
2528 |
+
"grad_norm": 1.0749729871749878,
|
2529 |
+
"learning_rate": 1.212208657047725e-05,
|
2530 |
+
"loss": 0.0086,
|
2531 |
+
"step": 3550
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"epoch": 3.947310038824182,
|
2535 |
+
"grad_norm": 2.320844888687134,
|
2536 |
+
"learning_rate": 1.209988901220866e-05,
|
2537 |
+
"loss": 0.0096,
|
2538 |
+
"step": 3560
|
2539 |
+
},
|
2540 |
+
{
|
2541 |
+
"epoch": 3.9584026622296173,
|
2542 |
+
"grad_norm": 0.5694814324378967,
|
2543 |
+
"learning_rate": 1.2077691453940067e-05,
|
2544 |
+
"loss": 0.008,
|
2545 |
+
"step": 3570
|
2546 |
+
},
|
2547 |
+
{
|
2548 |
+
"epoch": 3.9694952856350527,
|
2549 |
+
"grad_norm": 0.9794883728027344,
|
2550 |
+
"learning_rate": 1.2055493895671477e-05,
|
2551 |
+
"loss": 0.0045,
|
2552 |
+
"step": 3580
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 3.980587909040488,
|
2556 |
+
"grad_norm": 0.2133321315050125,
|
2557 |
+
"learning_rate": 1.2033296337402887e-05,
|
2558 |
+
"loss": 0.0054,
|
2559 |
+
"step": 3590
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"epoch": 3.9916805324459235,
|
2563 |
+
"grad_norm": 1.423915147781372,
|
2564 |
+
"learning_rate": 1.2011098779134295e-05,
|
2565 |
+
"loss": 0.0127,
|
2566 |
+
"step": 3600
|
2567 |
+
},
|
2568 |
+
{
|
2569 |
+
"epoch": 4.0,
|
2570 |
+
"eval_accuracy": 0.8699763593380615,
|
2571 |
+
"eval_f1": 0.6728971962616822,
|
2572 |
+
"eval_loss": 0.4916483163833618,
|
2573 |
+
"eval_precision": 0.6449511400651465,
|
2574 |
+
"eval_recall": 0.7033747779751333,
|
2575 |
+
"eval_runtime": 2.7388,
|
2576 |
+
"eval_samples_per_second": 360.381,
|
2577 |
+
"eval_steps_per_second": 11.319,
|
2578 |
+
"step": 3608
|
2579 |
+
}
|
2580 |
+
],
|
2581 |
+
"logging_steps": 10,
|
2582 |
+
"max_steps": 9010,
|
2583 |
+
"num_input_tokens_seen": 0,
|
2584 |
+
"num_train_epochs": 10,
|
2585 |
+
"save_steps": 500,
|
2586 |
+
"stateful_callbacks": {
|
2587 |
+
"TrainerControl": {
|
2588 |
+
"args": {
|
2589 |
+
"should_epoch_stop": false,
|
2590 |
+
"should_evaluate": false,
|
2591 |
+
"should_log": false,
|
2592 |
+
"should_save": true,
|
2593 |
+
"should_training_stop": false
|
2594 |
+
},
|
2595 |
+
"attributes": {}
|
2596 |
+
}
|
2597 |
+
},
|
2598 |
+
"total_flos": 3.844979161024907e+16,
|
2599 |
+
"train_batch_size": 32,
|
2600 |
+
"trial_name": null,
|
2601 |
+
"trial_params": null
|
2602 |
+
}
|
checkpoint-3608/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e64fe8f815fa80a7291289cde9af3ebb27f62206c40a93e8adf97661cd289de3
|
3 |
+
size 5368
|
checkpoint-4510/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-4510/config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"DebertaV2ForSequenceClassification"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.1,
|
6 |
+
"hidden_act": "gelu",
|
7 |
+
"hidden_dropout_prob": 0.1,
|
8 |
+
"hidden_size": 1024,
|
9 |
+
"id2label": {
|
10 |
+
"0": 0,
|
11 |
+
"1": 1,
|
12 |
+
"2": 2
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 4096,
|
16 |
+
"label2id": {
|
17 |
+
"0": 0,
|
18 |
+
"1": 1,
|
19 |
+
"2": 2
|
20 |
+
},
|
21 |
+
"layer_norm_eps": 1e-07,
|
22 |
+
"legacy": true,
|
23 |
+
"max_position_embeddings": 512,
|
24 |
+
"max_relative_positions": -1,
|
25 |
+
"model_type": "deberta-v2",
|
26 |
+
"norm_rel_ebd": "layer_norm",
|
27 |
+
"num_attention_heads": 16,
|
28 |
+
"num_hidden_layers": 24,
|
29 |
+
"pad_token_id": 0,
|
30 |
+
"pooler_dropout": 0,
|
31 |
+
"pooler_hidden_act": "gelu",
|
32 |
+
"pooler_hidden_size": 1024,
|
33 |
+
"pos_att_type": [
|
34 |
+
"p2c",
|
35 |
+
"c2p"
|
36 |
+
],
|
37 |
+
"position_biased_input": false,
|
38 |
+
"position_buckets": 256,
|
39 |
+
"problem_type": "multi_label_classification",
|
40 |
+
"relative_attention": true,
|
41 |
+
"share_att_key": true,
|
42 |
+
"torch_dtype": "float32",
|
43 |
+
"transformers_version": "4.51.3",
|
44 |
+
"type_vocab_size": 0,
|
45 |
+
"vocab_size": 128100
|
46 |
+
}
|
checkpoint-4510/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3cc67ea10679edd8661e592012efd34b2a9adb2d6184103664ff8555f6a6a7a0
|
3 |
+
size 1740308548
|
checkpoint-4510/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:491a48665da348e407b98370cdea189a32b84971eb958120f5722ba007be11f4
|
3 |
+
size 3480848432
|
checkpoint-4510/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7f0bab22d629c79607f7dc65e5d7670659ba328a7271440f8a0f84396181fd1d
|
3 |
+
size 14244
|
checkpoint-4510/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99cc9f37c9526dcec2abfafc6d9c51496f2ca19c3b36c5ec5b9d022975750bba
|
3 |
+
size 1064
|
checkpoint-4510/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": {
|
9 |
+
"content": "[UNK]",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": true,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
}
|
15 |
+
}
|
checkpoint-4510/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
checkpoint-4510/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-4510/tokenizer_config.json
ADDED
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128000": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": false,
|
46 |
+
"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": false,
|
48 |
+
"eos_token": "[SEP]",
|
49 |
+
"extra_special_tokens": {},
|
50 |
+
"mask_token": "[MASK]",
|
51 |
+
"model_max_length": 1000000000000000019884624838656,
|
52 |
+
"pad_token": "[PAD]",
|
53 |
+
"sep_token": "[SEP]",
|
54 |
+
"sp_model_kwargs": {},
|
55 |
+
"split_by_punct": false,
|
56 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
57 |
+
"unk_token": "[UNK]",
|
58 |
+
"vocab_type": "spm"
|
59 |
+
}
|
checkpoint-4510/trainer_state.json
ADDED
@@ -0,0 +1,3251 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 5.0,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 4510,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.011092623405435386,
|
14 |
+
"grad_norm": 2.009918689727783,
|
15 |
+
"learning_rate": 1.998002219755827e-05,
|
16 |
+
"loss": 0.5022,
|
17 |
+
"step": 10
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.022185246810870772,
|
21 |
+
"grad_norm": 0.49915584921836853,
|
22 |
+
"learning_rate": 1.995782463928968e-05,
|
23 |
+
"loss": 0.1943,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.033277870216306155,
|
28 |
+
"grad_norm": 0.47061625123023987,
|
29 |
+
"learning_rate": 1.993562708102109e-05,
|
30 |
+
"loss": 0.1436,
|
31 |
+
"step": 30
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.044370493621741544,
|
35 |
+
"grad_norm": 0.2260124832391739,
|
36 |
+
"learning_rate": 1.99134295227525e-05,
|
37 |
+
"loss": 0.1106,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.05546311702717693,
|
42 |
+
"grad_norm": 0.31766048073768616,
|
43 |
+
"learning_rate": 1.989123196448391e-05,
|
44 |
+
"loss": 0.0994,
|
45 |
+
"step": 50
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.06655574043261231,
|
49 |
+
"grad_norm": 0.2788391709327698,
|
50 |
+
"learning_rate": 1.9869034406215316e-05,
|
51 |
+
"loss": 0.111,
|
52 |
+
"step": 60
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.0776483638380477,
|
56 |
+
"grad_norm": 0.24376386404037476,
|
57 |
+
"learning_rate": 1.9846836847946726e-05,
|
58 |
+
"loss": 0.0849,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.08874098724348309,
|
63 |
+
"grad_norm": 0.1789788454771042,
|
64 |
+
"learning_rate": 1.982463928967814e-05,
|
65 |
+
"loss": 0.0971,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.09983361064891846,
|
70 |
+
"grad_norm": 0.29698437452316284,
|
71 |
+
"learning_rate": 1.9802441731409546e-05,
|
72 |
+
"loss": 0.0856,
|
73 |
+
"step": 90
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.11092623405435385,
|
77 |
+
"grad_norm": 0.2553412616252899,
|
78 |
+
"learning_rate": 1.9780244173140956e-05,
|
79 |
+
"loss": 0.0976,
|
80 |
+
"step": 100
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.12201885745978924,
|
84 |
+
"grad_norm": 0.20608791708946228,
|
85 |
+
"learning_rate": 1.9758046614872365e-05,
|
86 |
+
"loss": 0.0947,
|
87 |
+
"step": 110
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.13311148086522462,
|
91 |
+
"grad_norm": 0.23551669716835022,
|
92 |
+
"learning_rate": 1.9735849056603775e-05,
|
93 |
+
"loss": 0.0965,
|
94 |
+
"step": 120
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.14420410427066002,
|
98 |
+
"grad_norm": 0.3207148611545563,
|
99 |
+
"learning_rate": 1.9713651498335185e-05,
|
100 |
+
"loss": 0.0931,
|
101 |
+
"step": 130
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.1552967276760954,
|
105 |
+
"grad_norm": 0.34813177585601807,
|
106 |
+
"learning_rate": 1.9691453940066595e-05,
|
107 |
+
"loss": 0.1,
|
108 |
+
"step": 140
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.16638935108153077,
|
112 |
+
"grad_norm": 0.41501104831695557,
|
113 |
+
"learning_rate": 1.9669256381798e-05,
|
114 |
+
"loss": 0.0922,
|
115 |
+
"step": 150
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.17748197448696618,
|
119 |
+
"grad_norm": 0.24550506472587585,
|
120 |
+
"learning_rate": 1.964705882352941e-05,
|
121 |
+
"loss": 0.0857,
|
122 |
+
"step": 160
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.18857459789240155,
|
126 |
+
"grad_norm": 0.4205056130886078,
|
127 |
+
"learning_rate": 1.9624861265260825e-05,
|
128 |
+
"loss": 0.0831,
|
129 |
+
"step": 170
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.19966722129783693,
|
133 |
+
"grad_norm": 0.6002993583679199,
|
134 |
+
"learning_rate": 1.9602663706992235e-05,
|
135 |
+
"loss": 0.0792,
|
136 |
+
"step": 180
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.21075984470327233,
|
140 |
+
"grad_norm": 0.27535638213157654,
|
141 |
+
"learning_rate": 1.958046614872364e-05,
|
142 |
+
"loss": 0.0786,
|
143 |
+
"step": 190
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.2218524681087077,
|
147 |
+
"grad_norm": 0.41602805256843567,
|
148 |
+
"learning_rate": 1.955826859045505e-05,
|
149 |
+
"loss": 0.0789,
|
150 |
+
"step": 200
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.23294509151414308,
|
154 |
+
"grad_norm": 0.41827332973480225,
|
155 |
+
"learning_rate": 1.953607103218646e-05,
|
156 |
+
"loss": 0.0663,
|
157 |
+
"step": 210
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.24403771491957849,
|
161 |
+
"grad_norm": 0.47976112365722656,
|
162 |
+
"learning_rate": 1.951387347391787e-05,
|
163 |
+
"loss": 0.0727,
|
164 |
+
"step": 220
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.25513033832501386,
|
168 |
+
"grad_norm": 0.7771281599998474,
|
169 |
+
"learning_rate": 1.949167591564928e-05,
|
170 |
+
"loss": 0.0776,
|
171 |
+
"step": 230
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.26622296173044924,
|
175 |
+
"grad_norm": 1.0573914051055908,
|
176 |
+
"learning_rate": 1.946947835738069e-05,
|
177 |
+
"loss": 0.0828,
|
178 |
+
"step": 240
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.2773155851358846,
|
182 |
+
"grad_norm": 0.5186040997505188,
|
183 |
+
"learning_rate": 1.9447280799112097e-05,
|
184 |
+
"loss": 0.0767,
|
185 |
+
"step": 250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.28840820854132004,
|
189 |
+
"grad_norm": 0.5594862699508667,
|
190 |
+
"learning_rate": 1.942508324084351e-05,
|
191 |
+
"loss": 0.0699,
|
192 |
+
"step": 260
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.2995008319467554,
|
196 |
+
"grad_norm": 0.5147818922996521,
|
197 |
+
"learning_rate": 1.940288568257492e-05,
|
198 |
+
"loss": 0.0591,
|
199 |
+
"step": 270
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.3105934553521908,
|
203 |
+
"grad_norm": 0.5510437488555908,
|
204 |
+
"learning_rate": 1.938068812430633e-05,
|
205 |
+
"loss": 0.0761,
|
206 |
+
"step": 280
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.32168607875762617,
|
210 |
+
"grad_norm": 0.4817625880241394,
|
211 |
+
"learning_rate": 1.9358490566037736e-05,
|
212 |
+
"loss": 0.0688,
|
213 |
+
"step": 290
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.33277870216306155,
|
217 |
+
"grad_norm": 0.504362940788269,
|
218 |
+
"learning_rate": 1.9336293007769146e-05,
|
219 |
+
"loss": 0.0691,
|
220 |
+
"step": 300
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.343871325568497,
|
224 |
+
"grad_norm": 0.5732384920120239,
|
225 |
+
"learning_rate": 1.9314095449500556e-05,
|
226 |
+
"loss": 0.057,
|
227 |
+
"step": 310
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.35496394897393235,
|
231 |
+
"grad_norm": 0.5892298221588135,
|
232 |
+
"learning_rate": 1.9291897891231966e-05,
|
233 |
+
"loss": 0.059,
|
234 |
+
"step": 320
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.36605657237936773,
|
238 |
+
"grad_norm": 0.3680512309074402,
|
239 |
+
"learning_rate": 1.9269700332963376e-05,
|
240 |
+
"loss": 0.0706,
|
241 |
+
"step": 330
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.3771491957848031,
|
245 |
+
"grad_norm": 0.41971662640571594,
|
246 |
+
"learning_rate": 1.9247502774694786e-05,
|
247 |
+
"loss": 0.053,
|
248 |
+
"step": 340
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.3882418191902385,
|
252 |
+
"grad_norm": 0.37261390686035156,
|
253 |
+
"learning_rate": 1.9225305216426195e-05,
|
254 |
+
"loss": 0.0632,
|
255 |
+
"step": 350
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.39933444259567386,
|
259 |
+
"grad_norm": 0.48256734013557434,
|
260 |
+
"learning_rate": 1.9203107658157605e-05,
|
261 |
+
"loss": 0.0651,
|
262 |
+
"step": 360
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.4104270660011093,
|
266 |
+
"grad_norm": 0.7914339303970337,
|
267 |
+
"learning_rate": 1.9180910099889015e-05,
|
268 |
+
"loss": 0.0659,
|
269 |
+
"step": 370
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.42151968940654466,
|
273 |
+
"grad_norm": 0.6772429347038269,
|
274 |
+
"learning_rate": 1.915871254162042e-05,
|
275 |
+
"loss": 0.0655,
|
276 |
+
"step": 380
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.43261231281198004,
|
280 |
+
"grad_norm": 0.5621687173843384,
|
281 |
+
"learning_rate": 1.913651498335183e-05,
|
282 |
+
"loss": 0.0707,
|
283 |
+
"step": 390
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.4437049362174154,
|
287 |
+
"grad_norm": 0.30515748262405396,
|
288 |
+
"learning_rate": 1.911431742508324e-05,
|
289 |
+
"loss": 0.0548,
|
290 |
+
"step": 400
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.4547975596228508,
|
294 |
+
"grad_norm": 0.5506859421730042,
|
295 |
+
"learning_rate": 1.909211986681465e-05,
|
296 |
+
"loss": 0.0554,
|
297 |
+
"step": 410
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.46589018302828616,
|
301 |
+
"grad_norm": 0.6387749314308167,
|
302 |
+
"learning_rate": 1.906992230854606e-05,
|
303 |
+
"loss": 0.0554,
|
304 |
+
"step": 420
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.4769828064337216,
|
308 |
+
"grad_norm": 0.18500734865665436,
|
309 |
+
"learning_rate": 1.904772475027747e-05,
|
310 |
+
"loss": 0.0558,
|
311 |
+
"step": 430
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.48807542983915697,
|
315 |
+
"grad_norm": 0.6815407276153564,
|
316 |
+
"learning_rate": 1.902552719200888e-05,
|
317 |
+
"loss": 0.0537,
|
318 |
+
"step": 440
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.49916805324459235,
|
322 |
+
"grad_norm": 0.4826994836330414,
|
323 |
+
"learning_rate": 1.900332963374029e-05,
|
324 |
+
"loss": 0.0567,
|
325 |
+
"step": 450
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.5102606766500277,
|
329 |
+
"grad_norm": 0.24618124961853027,
|
330 |
+
"learning_rate": 1.89811320754717e-05,
|
331 |
+
"loss": 0.0614,
|
332 |
+
"step": 460
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.5213533000554631,
|
336 |
+
"grad_norm": 1.0037415027618408,
|
337 |
+
"learning_rate": 1.895893451720311e-05,
|
338 |
+
"loss": 0.0604,
|
339 |
+
"step": 470
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.5324459234608985,
|
343 |
+
"grad_norm": 0.6000948548316956,
|
344 |
+
"learning_rate": 1.8936736958934517e-05,
|
345 |
+
"loss": 0.0683,
|
346 |
+
"step": 480
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.5435385468663338,
|
350 |
+
"grad_norm": 0.3302474319934845,
|
351 |
+
"learning_rate": 1.8914539400665927e-05,
|
352 |
+
"loss": 0.0543,
|
353 |
+
"step": 490
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.5546311702717692,
|
357 |
+
"grad_norm": 0.5560783743858337,
|
358 |
+
"learning_rate": 1.8892341842397337e-05,
|
359 |
+
"loss": 0.0569,
|
360 |
+
"step": 500
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.5657237936772047,
|
364 |
+
"grad_norm": 0.8041097521781921,
|
365 |
+
"learning_rate": 1.8870144284128747e-05,
|
366 |
+
"loss": 0.0544,
|
367 |
+
"step": 510
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.5768164170826401,
|
371 |
+
"grad_norm": 0.6846103668212891,
|
372 |
+
"learning_rate": 1.8847946725860156e-05,
|
373 |
+
"loss": 0.058,
|
374 |
+
"step": 520
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.5879090404880755,
|
378 |
+
"grad_norm": 0.50434809923172,
|
379 |
+
"learning_rate": 1.8825749167591566e-05,
|
380 |
+
"loss": 0.0654,
|
381 |
+
"step": 530
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.5990016638935108,
|
385 |
+
"grad_norm": 0.54362553358078,
|
386 |
+
"learning_rate": 1.8803551609322976e-05,
|
387 |
+
"loss": 0.0582,
|
388 |
+
"step": 540
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.6100942872989462,
|
392 |
+
"grad_norm": 0.6166839599609375,
|
393 |
+
"learning_rate": 1.8781354051054386e-05,
|
394 |
+
"loss": 0.0672,
|
395 |
+
"step": 550
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.6211869107043816,
|
399 |
+
"grad_norm": 0.4353054165840149,
|
400 |
+
"learning_rate": 1.8759156492785796e-05,
|
401 |
+
"loss": 0.0532,
|
402 |
+
"step": 560
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.632279534109817,
|
406 |
+
"grad_norm": 0.6025580167770386,
|
407 |
+
"learning_rate": 1.8736958934517206e-05,
|
408 |
+
"loss": 0.0746,
|
409 |
+
"step": 570
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.6433721575152523,
|
413 |
+
"grad_norm": 0.7259892225265503,
|
414 |
+
"learning_rate": 1.8714761376248612e-05,
|
415 |
+
"loss": 0.0642,
|
416 |
+
"step": 580
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.6544647809206877,
|
420 |
+
"grad_norm": 0.4940318465232849,
|
421 |
+
"learning_rate": 1.8692563817980022e-05,
|
422 |
+
"loss": 0.0547,
|
423 |
+
"step": 590
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.6655574043261231,
|
427 |
+
"grad_norm": 0.7005699872970581,
|
428 |
+
"learning_rate": 1.8670366259711435e-05,
|
429 |
+
"loss": 0.0522,
|
430 |
+
"step": 600
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.6766500277315585,
|
434 |
+
"grad_norm": 0.4530707895755768,
|
435 |
+
"learning_rate": 1.8648168701442845e-05,
|
436 |
+
"loss": 0.054,
|
437 |
+
"step": 610
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.687742651136994,
|
441 |
+
"grad_norm": 0.9097110629081726,
|
442 |
+
"learning_rate": 1.8625971143174252e-05,
|
443 |
+
"loss": 0.0622,
|
444 |
+
"step": 620
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.6988352745424293,
|
448 |
+
"grad_norm": 0.5374599695205688,
|
449 |
+
"learning_rate": 1.860377358490566e-05,
|
450 |
+
"loss": 0.0522,
|
451 |
+
"step": 630
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.7099278979478647,
|
455 |
+
"grad_norm": 0.3849945664405823,
|
456 |
+
"learning_rate": 1.858157602663707e-05,
|
457 |
+
"loss": 0.0571,
|
458 |
+
"step": 640
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.7210205213533001,
|
462 |
+
"grad_norm": 0.5918008685112,
|
463 |
+
"learning_rate": 1.855937846836848e-05,
|
464 |
+
"loss": 0.0576,
|
465 |
+
"step": 650
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.7321131447587355,
|
469 |
+
"grad_norm": 0.3229956030845642,
|
470 |
+
"learning_rate": 1.853718091009989e-05,
|
471 |
+
"loss": 0.0537,
|
472 |
+
"step": 660
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.7432057681641708,
|
476 |
+
"grad_norm": 0.5264039039611816,
|
477 |
+
"learning_rate": 1.85149833518313e-05,
|
478 |
+
"loss": 0.06,
|
479 |
+
"step": 670
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.7542983915696062,
|
483 |
+
"grad_norm": 0.36795660853385925,
|
484 |
+
"learning_rate": 1.8492785793562708e-05,
|
485 |
+
"loss": 0.0511,
|
486 |
+
"step": 680
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.7653910149750416,
|
490 |
+
"grad_norm": 0.5905130505561829,
|
491 |
+
"learning_rate": 1.847058823529412e-05,
|
492 |
+
"loss": 0.0636,
|
493 |
+
"step": 690
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.776483638380477,
|
497 |
+
"grad_norm": 0.36266571283340454,
|
498 |
+
"learning_rate": 1.844839067702553e-05,
|
499 |
+
"loss": 0.0598,
|
500 |
+
"step": 700
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.7875762617859123,
|
504 |
+
"grad_norm": 0.4978592097759247,
|
505 |
+
"learning_rate": 1.8426193118756937e-05,
|
506 |
+
"loss": 0.0607,
|
507 |
+
"step": 710
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.7986688851913477,
|
511 |
+
"grad_norm": 0.4635021686553955,
|
512 |
+
"learning_rate": 1.8403995560488347e-05,
|
513 |
+
"loss": 0.0543,
|
514 |
+
"step": 720
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.8097615085967831,
|
518 |
+
"grad_norm": 0.44571858644485474,
|
519 |
+
"learning_rate": 1.8381798002219757e-05,
|
520 |
+
"loss": 0.0678,
|
521 |
+
"step": 730
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.8208541320022186,
|
525 |
+
"grad_norm": 0.8265877366065979,
|
526 |
+
"learning_rate": 1.8359600443951167e-05,
|
527 |
+
"loss": 0.0552,
|
528 |
+
"step": 740
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.831946755407654,
|
532 |
+
"grad_norm": 0.5776472091674805,
|
533 |
+
"learning_rate": 1.8337402885682577e-05,
|
534 |
+
"loss": 0.0505,
|
535 |
+
"step": 750
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.8430393788130893,
|
539 |
+
"grad_norm": 0.299274742603302,
|
540 |
+
"learning_rate": 1.8315205327413986e-05,
|
541 |
+
"loss": 0.0619,
|
542 |
+
"step": 760
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.8541320022185247,
|
546 |
+
"grad_norm": 0.587645947933197,
|
547 |
+
"learning_rate": 1.8293007769145393e-05,
|
548 |
+
"loss": 0.0575,
|
549 |
+
"step": 770
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.8652246256239601,
|
553 |
+
"grad_norm": 0.39164137840270996,
|
554 |
+
"learning_rate": 1.8270810210876806e-05,
|
555 |
+
"loss": 0.0458,
|
556 |
+
"step": 780
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.8763172490293955,
|
560 |
+
"grad_norm": 0.4663292169570923,
|
561 |
+
"learning_rate": 1.8248612652608216e-05,
|
562 |
+
"loss": 0.048,
|
563 |
+
"step": 790
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.8874098724348308,
|
567 |
+
"grad_norm": 0.5804581642150879,
|
568 |
+
"learning_rate": 1.8226415094339626e-05,
|
569 |
+
"loss": 0.0557,
|
570 |
+
"step": 800
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.8985024958402662,
|
574 |
+
"grad_norm": 0.4279440939426422,
|
575 |
+
"learning_rate": 1.8204217536071032e-05,
|
576 |
+
"loss": 0.051,
|
577 |
+
"step": 810
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.9095951192457016,
|
581 |
+
"grad_norm": 0.5384302735328674,
|
582 |
+
"learning_rate": 1.8182019977802442e-05,
|
583 |
+
"loss": 0.0558,
|
584 |
+
"step": 820
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.920687742651137,
|
588 |
+
"grad_norm": 0.5049973726272583,
|
589 |
+
"learning_rate": 1.8159822419533852e-05,
|
590 |
+
"loss": 0.047,
|
591 |
+
"step": 830
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.9317803660565723,
|
595 |
+
"grad_norm": 0.8061177134513855,
|
596 |
+
"learning_rate": 1.8137624861265262e-05,
|
597 |
+
"loss": 0.0572,
|
598 |
+
"step": 840
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.9428729894620078,
|
602 |
+
"grad_norm": 0.6056540012359619,
|
603 |
+
"learning_rate": 1.8115427302996672e-05,
|
604 |
+
"loss": 0.0539,
|
605 |
+
"step": 850
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.9539656128674432,
|
609 |
+
"grad_norm": 0.3001384139060974,
|
610 |
+
"learning_rate": 1.8093229744728082e-05,
|
611 |
+
"loss": 0.053,
|
612 |
+
"step": 860
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.9650582362728786,
|
616 |
+
"grad_norm": 0.6709749102592468,
|
617 |
+
"learning_rate": 1.807103218645949e-05,
|
618 |
+
"loss": 0.0526,
|
619 |
+
"step": 870
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.9761508596783139,
|
623 |
+
"grad_norm": 0.8233507871627808,
|
624 |
+
"learning_rate": 1.80488346281909e-05,
|
625 |
+
"loss": 0.0621,
|
626 |
+
"step": 880
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.9872434830837493,
|
630 |
+
"grad_norm": 0.5757150650024414,
|
631 |
+
"learning_rate": 1.802663706992231e-05,
|
632 |
+
"loss": 0.0546,
|
633 |
+
"step": 890
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.9983361064891847,
|
637 |
+
"grad_norm": 0.6834889054298401,
|
638 |
+
"learning_rate": 1.800443951165372e-05,
|
639 |
+
"loss": 0.0462,
|
640 |
+
"step": 900
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.0,
|
644 |
+
"eval_accuracy": 0.8720027017899359,
|
645 |
+
"eval_f1": 0.5678449258836944,
|
646 |
+
"eval_loss": 0.34414270520210266,
|
647 |
+
"eval_precision": 0.7929936305732485,
|
648 |
+
"eval_recall": 0.4422735346358792,
|
649 |
+
"eval_runtime": 2.727,
|
650 |
+
"eval_samples_per_second": 361.937,
|
651 |
+
"eval_steps_per_second": 11.368,
|
652 |
+
"step": 902
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.0088740987243483,
|
656 |
+
"grad_norm": 0.4411003887653351,
|
657 |
+
"learning_rate": 1.7982241953385128e-05,
|
658 |
+
"loss": 0.0312,
|
659 |
+
"step": 910
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.0199667221297837,
|
663 |
+
"grad_norm": 0.40500083565711975,
|
664 |
+
"learning_rate": 1.7960044395116538e-05,
|
665 |
+
"loss": 0.0345,
|
666 |
+
"step": 920
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.031059345535219,
|
670 |
+
"grad_norm": 0.9287449717521667,
|
671 |
+
"learning_rate": 1.7937846836847947e-05,
|
672 |
+
"loss": 0.0419,
|
673 |
+
"step": 930
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 1.0421519689406544,
|
677 |
+
"grad_norm": 0.7969145178794861,
|
678 |
+
"learning_rate": 1.7915649278579357e-05,
|
679 |
+
"loss": 0.042,
|
680 |
+
"step": 940
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.0532445923460898,
|
684 |
+
"grad_norm": 0.49280259013175964,
|
685 |
+
"learning_rate": 1.7893451720310767e-05,
|
686 |
+
"loss": 0.0427,
|
687 |
+
"step": 950
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 1.0643372157515252,
|
691 |
+
"grad_norm": 1.1647624969482422,
|
692 |
+
"learning_rate": 1.7871254162042177e-05,
|
693 |
+
"loss": 0.0341,
|
694 |
+
"step": 960
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.0754298391569606,
|
698 |
+
"grad_norm": 0.2908968925476074,
|
699 |
+
"learning_rate": 1.7849056603773587e-05,
|
700 |
+
"loss": 0.0389,
|
701 |
+
"step": 970
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.086522462562396,
|
705 |
+
"grad_norm": 0.521218478679657,
|
706 |
+
"learning_rate": 1.7826859045504997e-05,
|
707 |
+
"loss": 0.0396,
|
708 |
+
"step": 980
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.0976150859678313,
|
712 |
+
"grad_norm": 0.4156598150730133,
|
713 |
+
"learning_rate": 1.7804661487236407e-05,
|
714 |
+
"loss": 0.0359,
|
715 |
+
"step": 990
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 1.1087077093732667,
|
719 |
+
"grad_norm": 0.7260242104530334,
|
720 |
+
"learning_rate": 1.7782463928967813e-05,
|
721 |
+
"loss": 0.0384,
|
722 |
+
"step": 1000
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.119800332778702,
|
726 |
+
"grad_norm": 0.43658459186553955,
|
727 |
+
"learning_rate": 1.7760266370699223e-05,
|
728 |
+
"loss": 0.0383,
|
729 |
+
"step": 1010
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 1.1308929561841374,
|
733 |
+
"grad_norm": 0.3585101068019867,
|
734 |
+
"learning_rate": 1.7738068812430633e-05,
|
735 |
+
"loss": 0.0401,
|
736 |
+
"step": 1020
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.141985579589573,
|
740 |
+
"grad_norm": 0.5010389089584351,
|
741 |
+
"learning_rate": 1.7715871254162043e-05,
|
742 |
+
"loss": 0.0307,
|
743 |
+
"step": 1030
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.1530782029950084,
|
747 |
+
"grad_norm": 0.6415812969207764,
|
748 |
+
"learning_rate": 1.7693673695893453e-05,
|
749 |
+
"loss": 0.0423,
|
750 |
+
"step": 1040
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 1.1641708264004438,
|
754 |
+
"grad_norm": 0.6393259763717651,
|
755 |
+
"learning_rate": 1.7671476137624862e-05,
|
756 |
+
"loss": 0.0392,
|
757 |
+
"step": 1050
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.1752634498058792,
|
761 |
+
"grad_norm": 0.6339041590690613,
|
762 |
+
"learning_rate": 1.7649278579356272e-05,
|
763 |
+
"loss": 0.0506,
|
764 |
+
"step": 1060
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.1863560732113145,
|
768 |
+
"grad_norm": 0.6086763143539429,
|
769 |
+
"learning_rate": 1.7627081021087682e-05,
|
770 |
+
"loss": 0.0416,
|
771 |
+
"step": 1070
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 1.19744869661675,
|
775 |
+
"grad_norm": 0.6648682355880737,
|
776 |
+
"learning_rate": 1.7604883462819092e-05,
|
777 |
+
"loss": 0.0379,
|
778 |
+
"step": 1080
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 1.2085413200221853,
|
782 |
+
"grad_norm": 0.6018221378326416,
|
783 |
+
"learning_rate": 1.7582685904550502e-05,
|
784 |
+
"loss": 0.0354,
|
785 |
+
"step": 1090
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 1.2196339434276207,
|
789 |
+
"grad_norm": 1.2366654872894287,
|
790 |
+
"learning_rate": 1.756048834628191e-05,
|
791 |
+
"loss": 0.037,
|
792 |
+
"step": 1100
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 1.230726566833056,
|
796 |
+
"grad_norm": 0.5976310968399048,
|
797 |
+
"learning_rate": 1.7538290788013318e-05,
|
798 |
+
"loss": 0.0361,
|
799 |
+
"step": 1110
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 1.2418191902384914,
|
803 |
+
"grad_norm": 0.8290308117866516,
|
804 |
+
"learning_rate": 1.751609322974473e-05,
|
805 |
+
"loss": 0.0383,
|
806 |
+
"step": 1120
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.2529118136439268,
|
810 |
+
"grad_norm": 0.382548987865448,
|
811 |
+
"learning_rate": 1.749389567147614e-05,
|
812 |
+
"loss": 0.0449,
|
813 |
+
"step": 1130
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 1.2640044370493622,
|
817 |
+
"grad_norm": 0.5307976007461548,
|
818 |
+
"learning_rate": 1.7471698113207548e-05,
|
819 |
+
"loss": 0.0364,
|
820 |
+
"step": 1140
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 1.2750970604547975,
|
824 |
+
"grad_norm": 0.5508521795272827,
|
825 |
+
"learning_rate": 1.7449500554938958e-05,
|
826 |
+
"loss": 0.0312,
|
827 |
+
"step": 1150
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 1.286189683860233,
|
831 |
+
"grad_norm": 0.37057268619537354,
|
832 |
+
"learning_rate": 1.7427302996670368e-05,
|
833 |
+
"loss": 0.0397,
|
834 |
+
"step": 1160
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 1.2972823072656683,
|
838 |
+
"grad_norm": 0.4806898236274719,
|
839 |
+
"learning_rate": 1.7405105438401777e-05,
|
840 |
+
"loss": 0.0391,
|
841 |
+
"step": 1170
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 1.3083749306711037,
|
845 |
+
"grad_norm": 0.759772002696991,
|
846 |
+
"learning_rate": 1.7382907880133187e-05,
|
847 |
+
"loss": 0.0322,
|
848 |
+
"step": 1180
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.319467554076539,
|
852 |
+
"grad_norm": 0.39819085597991943,
|
853 |
+
"learning_rate": 1.7360710321864597e-05,
|
854 |
+
"loss": 0.0345,
|
855 |
+
"step": 1190
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 1.3305601774819744,
|
859 |
+
"grad_norm": 0.7733897566795349,
|
860 |
+
"learning_rate": 1.7338512763596004e-05,
|
861 |
+
"loss": 0.0424,
|
862 |
+
"step": 1200
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 1.3416528008874098,
|
866 |
+
"grad_norm": 0.7979075908660889,
|
867 |
+
"learning_rate": 1.7316315205327417e-05,
|
868 |
+
"loss": 0.0403,
|
869 |
+
"step": 1210
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 1.3527454242928454,
|
873 |
+
"grad_norm": 0.5658752918243408,
|
874 |
+
"learning_rate": 1.7294117647058827e-05,
|
875 |
+
"loss": 0.0276,
|
876 |
+
"step": 1220
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 1.3638380476982808,
|
880 |
+
"grad_norm": 0.25207844376564026,
|
881 |
+
"learning_rate": 1.7271920088790237e-05,
|
882 |
+
"loss": 0.0347,
|
883 |
+
"step": 1230
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 1.3749306711037161,
|
887 |
+
"grad_norm": 0.6338945031166077,
|
888 |
+
"learning_rate": 1.7249722530521643e-05,
|
889 |
+
"loss": 0.0416,
|
890 |
+
"step": 1240
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.3860232945091515,
|
894 |
+
"grad_norm": 0.8125913143157959,
|
895 |
+
"learning_rate": 1.7227524972253053e-05,
|
896 |
+
"loss": 0.0442,
|
897 |
+
"step": 1250
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 1.397115917914587,
|
901 |
+
"grad_norm": 0.5067325234413147,
|
902 |
+
"learning_rate": 1.7205327413984463e-05,
|
903 |
+
"loss": 0.0358,
|
904 |
+
"step": 1260
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 1.4082085413200223,
|
908 |
+
"grad_norm": 0.40132638812065125,
|
909 |
+
"learning_rate": 1.7183129855715873e-05,
|
910 |
+
"loss": 0.0303,
|
911 |
+
"step": 1270
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 1.4193011647254576,
|
915 |
+
"grad_norm": 0.6337258815765381,
|
916 |
+
"learning_rate": 1.7160932297447283e-05,
|
917 |
+
"loss": 0.0471,
|
918 |
+
"step": 1280
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 1.430393788130893,
|
922 |
+
"grad_norm": 0.43456393480300903,
|
923 |
+
"learning_rate": 1.713873473917869e-05,
|
924 |
+
"loss": 0.0354,
|
925 |
+
"step": 1290
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 1.4414864115363284,
|
929 |
+
"grad_norm": 0.3291069269180298,
|
930 |
+
"learning_rate": 1.7116537180910102e-05,
|
931 |
+
"loss": 0.0312,
|
932 |
+
"step": 1300
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.4525790349417638,
|
936 |
+
"grad_norm": 0.2960388660430908,
|
937 |
+
"learning_rate": 1.7094339622641512e-05,
|
938 |
+
"loss": 0.0362,
|
939 |
+
"step": 1310
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 1.4636716583471991,
|
943 |
+
"grad_norm": 0.820751428604126,
|
944 |
+
"learning_rate": 1.7072142064372922e-05,
|
945 |
+
"loss": 0.0396,
|
946 |
+
"step": 1320
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 1.4747642817526345,
|
950 |
+
"grad_norm": 0.7335907816886902,
|
951 |
+
"learning_rate": 1.704994450610433e-05,
|
952 |
+
"loss": 0.0386,
|
953 |
+
"step": 1330
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 1.48585690515807,
|
957 |
+
"grad_norm": 0.40592002868652344,
|
958 |
+
"learning_rate": 1.702774694783574e-05,
|
959 |
+
"loss": 0.0358,
|
960 |
+
"step": 1340
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 1.4969495285635053,
|
964 |
+
"grad_norm": 0.6194770336151123,
|
965 |
+
"learning_rate": 1.7005549389567148e-05,
|
966 |
+
"loss": 0.0361,
|
967 |
+
"step": 1350
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 1.5080421519689406,
|
971 |
+
"grad_norm": 0.44590774178504944,
|
972 |
+
"learning_rate": 1.6983351831298558e-05,
|
973 |
+
"loss": 0.033,
|
974 |
+
"step": 1360
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.519134775374376,
|
978 |
+
"grad_norm": 0.5857370495796204,
|
979 |
+
"learning_rate": 1.6961154273029968e-05,
|
980 |
+
"loss": 0.0423,
|
981 |
+
"step": 1370
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 1.5302273987798114,
|
985 |
+
"grad_norm": 0.6809953451156616,
|
986 |
+
"learning_rate": 1.6938956714761378e-05,
|
987 |
+
"loss": 0.0345,
|
988 |
+
"step": 1380
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 1.5413200221852468,
|
992 |
+
"grad_norm": 0.7102778553962708,
|
993 |
+
"learning_rate": 1.6916759156492788e-05,
|
994 |
+
"loss": 0.0372,
|
995 |
+
"step": 1390
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 1.5524126455906821,
|
999 |
+
"grad_norm": 0.31781554222106934,
|
1000 |
+
"learning_rate": 1.6894561598224198e-05,
|
1001 |
+
"loss": 0.032,
|
1002 |
+
"step": 1400
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 1.5635052689961175,
|
1006 |
+
"grad_norm": 0.4304943382740021,
|
1007 |
+
"learning_rate": 1.6872364039955607e-05,
|
1008 |
+
"loss": 0.0375,
|
1009 |
+
"step": 1410
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 1.574597892401553,
|
1013 |
+
"grad_norm": 0.918550968170166,
|
1014 |
+
"learning_rate": 1.6850166481687017e-05,
|
1015 |
+
"loss": 0.0416,
|
1016 |
+
"step": 1420
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 1.5856905158069883,
|
1020 |
+
"grad_norm": 0.722892701625824,
|
1021 |
+
"learning_rate": 1.6827968923418424e-05,
|
1022 |
+
"loss": 0.0359,
|
1023 |
+
"step": 1430
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 1.5967831392124237,
|
1027 |
+
"grad_norm": 0.508703351020813,
|
1028 |
+
"learning_rate": 1.6805771365149834e-05,
|
1029 |
+
"loss": 0.0402,
|
1030 |
+
"step": 1440
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 1.607875762617859,
|
1034 |
+
"grad_norm": 0.4725389778614044,
|
1035 |
+
"learning_rate": 1.6783573806881244e-05,
|
1036 |
+
"loss": 0.0335,
|
1037 |
+
"step": 1450
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 1.6189683860232944,
|
1041 |
+
"grad_norm": 0.4699971079826355,
|
1042 |
+
"learning_rate": 1.6761376248612653e-05,
|
1043 |
+
"loss": 0.0277,
|
1044 |
+
"step": 1460
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 1.6300610094287298,
|
1048 |
+
"grad_norm": 0.775764524936676,
|
1049 |
+
"learning_rate": 1.6739178690344063e-05,
|
1050 |
+
"loss": 0.0333,
|
1051 |
+
"step": 1470
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 1.6411536328341652,
|
1055 |
+
"grad_norm": 0.6115106344223022,
|
1056 |
+
"learning_rate": 1.6716981132075473e-05,
|
1057 |
+
"loss": 0.0301,
|
1058 |
+
"step": 1480
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 1.6522462562396005,
|
1062 |
+
"grad_norm": 0.743077278137207,
|
1063 |
+
"learning_rate": 1.6694783573806883e-05,
|
1064 |
+
"loss": 0.035,
|
1065 |
+
"step": 1490
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 1.663338879645036,
|
1069 |
+
"grad_norm": 0.5189201235771179,
|
1070 |
+
"learning_rate": 1.6672586015538293e-05,
|
1071 |
+
"loss": 0.0475,
|
1072 |
+
"step": 1500
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 1.6744315030504713,
|
1076 |
+
"grad_norm": 0.5089607238769531,
|
1077 |
+
"learning_rate": 1.6650388457269703e-05,
|
1078 |
+
"loss": 0.0377,
|
1079 |
+
"step": 1510
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 1.6855241264559067,
|
1083 |
+
"grad_norm": 0.46067437529563904,
|
1084 |
+
"learning_rate": 1.6628190899001113e-05,
|
1085 |
+
"loss": 0.0297,
|
1086 |
+
"step": 1520
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 1.6966167498613423,
|
1090 |
+
"grad_norm": 0.5661717653274536,
|
1091 |
+
"learning_rate": 1.660599334073252e-05,
|
1092 |
+
"loss": 0.0372,
|
1093 |
+
"step": 1530
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 1.7077093732667776,
|
1097 |
+
"grad_norm": 0.45938414335250854,
|
1098 |
+
"learning_rate": 1.658379578246393e-05,
|
1099 |
+
"loss": 0.0371,
|
1100 |
+
"step": 1540
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 1.718801996672213,
|
1104 |
+
"grad_norm": 0.7390128970146179,
|
1105 |
+
"learning_rate": 1.656159822419534e-05,
|
1106 |
+
"loss": 0.0332,
|
1107 |
+
"step": 1550
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 1.7298946200776484,
|
1111 |
+
"grad_norm": 0.6475571990013123,
|
1112 |
+
"learning_rate": 1.653940066592675e-05,
|
1113 |
+
"loss": 0.0352,
|
1114 |
+
"step": 1560
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 1.7409872434830838,
|
1118 |
+
"grad_norm": 0.8529049754142761,
|
1119 |
+
"learning_rate": 1.651720310765816e-05,
|
1120 |
+
"loss": 0.0386,
|
1121 |
+
"step": 1570
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 1.7520798668885191,
|
1125 |
+
"grad_norm": 0.6980950236320496,
|
1126 |
+
"learning_rate": 1.649500554938957e-05,
|
1127 |
+
"loss": 0.0358,
|
1128 |
+
"step": 1580
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 1.7631724902939545,
|
1132 |
+
"grad_norm": 0.5858293175697327,
|
1133 |
+
"learning_rate": 1.6472807991120978e-05,
|
1134 |
+
"loss": 0.0418,
|
1135 |
+
"step": 1590
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 1.7742651136993899,
|
1139 |
+
"grad_norm": 0.49686577916145325,
|
1140 |
+
"learning_rate": 1.6450610432852388e-05,
|
1141 |
+
"loss": 0.0361,
|
1142 |
+
"step": 1600
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 1.7853577371048253,
|
1146 |
+
"grad_norm": 0.3631349205970764,
|
1147 |
+
"learning_rate": 1.6428412874583798e-05,
|
1148 |
+
"loss": 0.0352,
|
1149 |
+
"step": 1610
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 1.7964503605102606,
|
1153 |
+
"grad_norm": 0.5329940915107727,
|
1154 |
+
"learning_rate": 1.6406215316315204e-05,
|
1155 |
+
"loss": 0.04,
|
1156 |
+
"step": 1620
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 1.807542983915696,
|
1160 |
+
"grad_norm": 0.5995050668716431,
|
1161 |
+
"learning_rate": 1.6384017758046614e-05,
|
1162 |
+
"loss": 0.0368,
|
1163 |
+
"step": 1630
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 1.8186356073211316,
|
1167 |
+
"grad_norm": 1.3379504680633545,
|
1168 |
+
"learning_rate": 1.6361820199778028e-05,
|
1169 |
+
"loss": 0.0397,
|
1170 |
+
"step": 1640
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 1.829728230726567,
|
1174 |
+
"grad_norm": 0.8026002645492554,
|
1175 |
+
"learning_rate": 1.6339622641509437e-05,
|
1176 |
+
"loss": 0.0318,
|
1177 |
+
"step": 1650
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 1.8408208541320024,
|
1181 |
+
"grad_norm": 0.917950451374054,
|
1182 |
+
"learning_rate": 1.6317425083240844e-05,
|
1183 |
+
"loss": 0.0352,
|
1184 |
+
"step": 1660
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 1.8519134775374377,
|
1188 |
+
"grad_norm": 0.6763226389884949,
|
1189 |
+
"learning_rate": 1.6295227524972254e-05,
|
1190 |
+
"loss": 0.0413,
|
1191 |
+
"step": 1670
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 1.8630061009428731,
|
1195 |
+
"grad_norm": 0.5728912949562073,
|
1196 |
+
"learning_rate": 1.6273029966703664e-05,
|
1197 |
+
"loss": 0.0291,
|
1198 |
+
"step": 1680
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 1.8740987243483085,
|
1202 |
+
"grad_norm": 0.6339443325996399,
|
1203 |
+
"learning_rate": 1.6250832408435074e-05,
|
1204 |
+
"loss": 0.0409,
|
1205 |
+
"step": 1690
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 1.8851913477537439,
|
1209 |
+
"grad_norm": 0.6930853128433228,
|
1210 |
+
"learning_rate": 1.6228634850166483e-05,
|
1211 |
+
"loss": 0.0371,
|
1212 |
+
"step": 1700
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 1.8962839711591792,
|
1216 |
+
"grad_norm": 0.37715452909469604,
|
1217 |
+
"learning_rate": 1.6206437291897893e-05,
|
1218 |
+
"loss": 0.031,
|
1219 |
+
"step": 1710
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 1.9073765945646146,
|
1223 |
+
"grad_norm": 0.5656572580337524,
|
1224 |
+
"learning_rate": 1.61842397336293e-05,
|
1225 |
+
"loss": 0.0414,
|
1226 |
+
"step": 1720
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 1.91846921797005,
|
1230 |
+
"grad_norm": 0.3563915491104126,
|
1231 |
+
"learning_rate": 1.6162042175360713e-05,
|
1232 |
+
"loss": 0.0276,
|
1233 |
+
"step": 1730
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 1.9295618413754854,
|
1237 |
+
"grad_norm": 0.8260300159454346,
|
1238 |
+
"learning_rate": 1.6139844617092123e-05,
|
1239 |
+
"loss": 0.0337,
|
1240 |
+
"step": 1740
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 1.9406544647809207,
|
1244 |
+
"grad_norm": 0.6907551884651184,
|
1245 |
+
"learning_rate": 1.6117647058823533e-05,
|
1246 |
+
"loss": 0.031,
|
1247 |
+
"step": 1750
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 1.9517470881863561,
|
1251 |
+
"grad_norm": 0.5782826542854309,
|
1252 |
+
"learning_rate": 1.609544950055494e-05,
|
1253 |
+
"loss": 0.0419,
|
1254 |
+
"step": 1760
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 1.9628397115917915,
|
1258 |
+
"grad_norm": 0.36368125677108765,
|
1259 |
+
"learning_rate": 1.607325194228635e-05,
|
1260 |
+
"loss": 0.0356,
|
1261 |
+
"step": 1770
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 1.9739323349972269,
|
1265 |
+
"grad_norm": 0.369911789894104,
|
1266 |
+
"learning_rate": 1.605105438401776e-05,
|
1267 |
+
"loss": 0.0264,
|
1268 |
+
"step": 1780
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 1.9850249584026622,
|
1272 |
+
"grad_norm": 0.6072190999984741,
|
1273 |
+
"learning_rate": 1.602885682574917e-05,
|
1274 |
+
"loss": 0.0366,
|
1275 |
+
"step": 1790
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 1.9961175818080976,
|
1279 |
+
"grad_norm": 0.9733797311782837,
|
1280 |
+
"learning_rate": 1.600665926748058e-05,
|
1281 |
+
"loss": 0.0371,
|
1282 |
+
"step": 1800
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 2.0,
|
1286 |
+
"eval_accuracy": 0.8973319824383654,
|
1287 |
+
"eval_f1": 0.6872427983539094,
|
1288 |
+
"eval_loss": 0.31070804595947266,
|
1289 |
+
"eval_precision": 0.8166259168704156,
|
1290 |
+
"eval_recall": 0.5932504440497336,
|
1291 |
+
"eval_runtime": 2.7114,
|
1292 |
+
"eval_samples_per_second": 364.014,
|
1293 |
+
"eval_steps_per_second": 11.433,
|
1294 |
+
"step": 1804
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 2.0066555740432612,
|
1298 |
+
"grad_norm": 0.2766992449760437,
|
1299 |
+
"learning_rate": 1.598446170921199e-05,
|
1300 |
+
"loss": 0.0218,
|
1301 |
+
"step": 1810
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 2.0177481974486966,
|
1305 |
+
"grad_norm": 0.6556938290596008,
|
1306 |
+
"learning_rate": 1.59622641509434e-05,
|
1307 |
+
"loss": 0.0187,
|
1308 |
+
"step": 1820
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 2.028840820854132,
|
1312 |
+
"grad_norm": 0.24634911119937897,
|
1313 |
+
"learning_rate": 1.5940066592674808e-05,
|
1314 |
+
"loss": 0.0132,
|
1315 |
+
"step": 1830
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 2.0399334442595674,
|
1319 |
+
"grad_norm": 0.683587372303009,
|
1320 |
+
"learning_rate": 1.5917869034406218e-05,
|
1321 |
+
"loss": 0.0158,
|
1322 |
+
"step": 1840
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 2.0510260676650027,
|
1326 |
+
"grad_norm": 0.47117751836776733,
|
1327 |
+
"learning_rate": 1.5895671476137625e-05,
|
1328 |
+
"loss": 0.018,
|
1329 |
+
"step": 1850
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 2.062118691070438,
|
1333 |
+
"grad_norm": 0.4102018475532532,
|
1334 |
+
"learning_rate": 1.5873473917869034e-05,
|
1335 |
+
"loss": 0.0153,
|
1336 |
+
"step": 1860
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 2.0732113144758735,
|
1340 |
+
"grad_norm": 0.4639064371585846,
|
1341 |
+
"learning_rate": 1.5851276359600444e-05,
|
1342 |
+
"loss": 0.0171,
|
1343 |
+
"step": 1870
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 2.084303937881309,
|
1347 |
+
"grad_norm": 0.49497199058532715,
|
1348 |
+
"learning_rate": 1.5829078801331854e-05,
|
1349 |
+
"loss": 0.0168,
|
1350 |
+
"step": 1880
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 2.0953965612867442,
|
1354 |
+
"grad_norm": 0.6302080154418945,
|
1355 |
+
"learning_rate": 1.5806881243063264e-05,
|
1356 |
+
"loss": 0.0191,
|
1357 |
+
"step": 1890
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 2.1064891846921796,
|
1361 |
+
"grad_norm": 0.3464473783969879,
|
1362 |
+
"learning_rate": 1.5784683684794674e-05,
|
1363 |
+
"loss": 0.0184,
|
1364 |
+
"step": 1900
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 2.117581808097615,
|
1368 |
+
"grad_norm": 0.6507964730262756,
|
1369 |
+
"learning_rate": 1.5762486126526084e-05,
|
1370 |
+
"loss": 0.0135,
|
1371 |
+
"step": 1910
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 2.1286744315030504,
|
1375 |
+
"grad_norm": 0.1759006232023239,
|
1376 |
+
"learning_rate": 1.5740288568257494e-05,
|
1377 |
+
"loss": 0.0118,
|
1378 |
+
"step": 1920
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 2.1397670549084857,
|
1382 |
+
"grad_norm": 0.5952832698822021,
|
1383 |
+
"learning_rate": 1.5718091009988904e-05,
|
1384 |
+
"loss": 0.0157,
|
1385 |
+
"step": 1930
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 2.150859678313921,
|
1389 |
+
"grad_norm": 0.8094580769538879,
|
1390 |
+
"learning_rate": 1.5695893451720313e-05,
|
1391 |
+
"loss": 0.0125,
|
1392 |
+
"step": 1940
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 2.1619523017193565,
|
1396 |
+
"grad_norm": 0.6284286379814148,
|
1397 |
+
"learning_rate": 1.567369589345172e-05,
|
1398 |
+
"loss": 0.0178,
|
1399 |
+
"step": 1950
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 2.173044925124792,
|
1403 |
+
"grad_norm": 0.6017957925796509,
|
1404 |
+
"learning_rate": 1.565149833518313e-05,
|
1405 |
+
"loss": 0.0136,
|
1406 |
+
"step": 1960
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 2.1841375485302272,
|
1410 |
+
"grad_norm": 1.2836827039718628,
|
1411 |
+
"learning_rate": 1.562930077691454e-05,
|
1412 |
+
"loss": 0.014,
|
1413 |
+
"step": 1970
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 2.1952301719356626,
|
1417 |
+
"grad_norm": 0.6213756203651428,
|
1418 |
+
"learning_rate": 1.560710321864595e-05,
|
1419 |
+
"loss": 0.0136,
|
1420 |
+
"step": 1980
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 2.206322795341098,
|
1424 |
+
"grad_norm": 0.48122018575668335,
|
1425 |
+
"learning_rate": 1.558490566037736e-05,
|
1426 |
+
"loss": 0.0147,
|
1427 |
+
"step": 1990
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 2.2174154187465334,
|
1431 |
+
"grad_norm": 0.7161231637001038,
|
1432 |
+
"learning_rate": 1.556270810210877e-05,
|
1433 |
+
"loss": 0.0105,
|
1434 |
+
"step": 2000
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 2.2285080421519687,
|
1438 |
+
"grad_norm": 0.6598195433616638,
|
1439 |
+
"learning_rate": 1.554051054384018e-05,
|
1440 |
+
"loss": 0.0172,
|
1441 |
+
"step": 2010
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 2.239600665557404,
|
1445 |
+
"grad_norm": 0.6077088117599487,
|
1446 |
+
"learning_rate": 1.551831298557159e-05,
|
1447 |
+
"loss": 0.0144,
|
1448 |
+
"step": 2020
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 2.2506932889628395,
|
1452 |
+
"grad_norm": 0.5622262954711914,
|
1453 |
+
"learning_rate": 1.5496115427303e-05,
|
1454 |
+
"loss": 0.0175,
|
1455 |
+
"step": 2030
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 2.261785912368275,
|
1459 |
+
"grad_norm": 0.1281885802745819,
|
1460 |
+
"learning_rate": 1.547391786903441e-05,
|
1461 |
+
"loss": 0.018,
|
1462 |
+
"step": 2040
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 2.2728785357737102,
|
1466 |
+
"grad_norm": 0.408607542514801,
|
1467 |
+
"learning_rate": 1.5451720310765815e-05,
|
1468 |
+
"loss": 0.0095,
|
1469 |
+
"step": 2050
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 2.283971159179146,
|
1473 |
+
"grad_norm": 0.7786557674407959,
|
1474 |
+
"learning_rate": 1.5429522752497225e-05,
|
1475 |
+
"loss": 0.0163,
|
1476 |
+
"step": 2060
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 2.2950637825845814,
|
1480 |
+
"grad_norm": 0.22975876927375793,
|
1481 |
+
"learning_rate": 1.5407325194228635e-05,
|
1482 |
+
"loss": 0.0193,
|
1483 |
+
"step": 2070
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 2.306156405990017,
|
1487 |
+
"grad_norm": 0.4313502311706543,
|
1488 |
+
"learning_rate": 1.5385127635960048e-05,
|
1489 |
+
"loss": 0.0186,
|
1490 |
+
"step": 2080
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 2.317249029395452,
|
1494 |
+
"grad_norm": 0.794448733329773,
|
1495 |
+
"learning_rate": 1.5362930077691455e-05,
|
1496 |
+
"loss": 0.0159,
|
1497 |
+
"step": 2090
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 2.3283416528008876,
|
1501 |
+
"grad_norm": 0.4191996157169342,
|
1502 |
+
"learning_rate": 1.5340732519422865e-05,
|
1503 |
+
"loss": 0.0208,
|
1504 |
+
"step": 2100
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 2.339434276206323,
|
1508 |
+
"grad_norm": 0.5219516754150391,
|
1509 |
+
"learning_rate": 1.5318534961154274e-05,
|
1510 |
+
"loss": 0.0136,
|
1511 |
+
"step": 2110
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 2.3505268996117583,
|
1515 |
+
"grad_norm": 1.1869897842407227,
|
1516 |
+
"learning_rate": 1.5296337402885684e-05,
|
1517 |
+
"loss": 0.0177,
|
1518 |
+
"step": 2120
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 2.3616195230171937,
|
1522 |
+
"grad_norm": 0.12048923969268799,
|
1523 |
+
"learning_rate": 1.5274139844617094e-05,
|
1524 |
+
"loss": 0.0129,
|
1525 |
+
"step": 2130
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 2.372712146422629,
|
1529 |
+
"grad_norm": 0.5213373899459839,
|
1530 |
+
"learning_rate": 1.5251942286348502e-05,
|
1531 |
+
"loss": 0.0127,
|
1532 |
+
"step": 2140
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 2.3838047698280644,
|
1536 |
+
"grad_norm": 0.43704670667648315,
|
1537 |
+
"learning_rate": 1.5229744728079912e-05,
|
1538 |
+
"loss": 0.0154,
|
1539 |
+
"step": 2150
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 2.3948973932335,
|
1543 |
+
"grad_norm": 0.567150890827179,
|
1544 |
+
"learning_rate": 1.5207547169811324e-05,
|
1545 |
+
"loss": 0.0117,
|
1546 |
+
"step": 2160
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 2.405990016638935,
|
1550 |
+
"grad_norm": 0.571408212184906,
|
1551 |
+
"learning_rate": 1.5185349611542732e-05,
|
1552 |
+
"loss": 0.0152,
|
1553 |
+
"step": 2170
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 2.4170826400443706,
|
1557 |
+
"grad_norm": 0.524834394454956,
|
1558 |
+
"learning_rate": 1.5163152053274142e-05,
|
1559 |
+
"loss": 0.017,
|
1560 |
+
"step": 2180
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 2.428175263449806,
|
1564 |
+
"grad_norm": 0.5026165246963501,
|
1565 |
+
"learning_rate": 1.5140954495005552e-05,
|
1566 |
+
"loss": 0.0193,
|
1567 |
+
"step": 2190
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 2.4392678868552413,
|
1571 |
+
"grad_norm": 0.3944782614707947,
|
1572 |
+
"learning_rate": 1.511875693673696e-05,
|
1573 |
+
"loss": 0.0159,
|
1574 |
+
"step": 2200
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 2.4503605102606767,
|
1578 |
+
"grad_norm": 0.6460635662078857,
|
1579 |
+
"learning_rate": 1.509655937846837e-05,
|
1580 |
+
"loss": 0.0139,
|
1581 |
+
"step": 2210
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 2.461453133666112,
|
1585 |
+
"grad_norm": 0.5573295950889587,
|
1586 |
+
"learning_rate": 1.507436182019978e-05,
|
1587 |
+
"loss": 0.0183,
|
1588 |
+
"step": 2220
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 2.4725457570715474,
|
1592 |
+
"grad_norm": 0.5001458525657654,
|
1593 |
+
"learning_rate": 1.5052164261931188e-05,
|
1594 |
+
"loss": 0.0167,
|
1595 |
+
"step": 2230
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 2.483638380476983,
|
1599 |
+
"grad_norm": 1.0214160680770874,
|
1600 |
+
"learning_rate": 1.5029966703662598e-05,
|
1601 |
+
"loss": 0.0182,
|
1602 |
+
"step": 2240
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 2.494731003882418,
|
1606 |
+
"grad_norm": 0.5756349563598633,
|
1607 |
+
"learning_rate": 1.5007769145394009e-05,
|
1608 |
+
"loss": 0.0164,
|
1609 |
+
"step": 2250
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 2.5058236272878536,
|
1613 |
+
"grad_norm": 0.771986722946167,
|
1614 |
+
"learning_rate": 1.4985571587125419e-05,
|
1615 |
+
"loss": 0.0183,
|
1616 |
+
"step": 2260
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 2.516916250693289,
|
1620 |
+
"grad_norm": 0.5560303926467896,
|
1621 |
+
"learning_rate": 1.4963374028856827e-05,
|
1622 |
+
"loss": 0.0178,
|
1623 |
+
"step": 2270
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 2.5280088740987243,
|
1627 |
+
"grad_norm": 0.8550804853439331,
|
1628 |
+
"learning_rate": 1.4941176470588237e-05,
|
1629 |
+
"loss": 0.0118,
|
1630 |
+
"step": 2280
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 2.5391014975041597,
|
1634 |
+
"grad_norm": 0.8129355907440186,
|
1635 |
+
"learning_rate": 1.4918978912319645e-05,
|
1636 |
+
"loss": 0.0126,
|
1637 |
+
"step": 2290
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 2.550194120909595,
|
1641 |
+
"grad_norm": 1.176377773284912,
|
1642 |
+
"learning_rate": 1.4896781354051055e-05,
|
1643 |
+
"loss": 0.0126,
|
1644 |
+
"step": 2300
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 2.5612867443150305,
|
1648 |
+
"grad_norm": 0.1419341266155243,
|
1649 |
+
"learning_rate": 1.4874583795782465e-05,
|
1650 |
+
"loss": 0.0196,
|
1651 |
+
"step": 2310
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 2.572379367720466,
|
1655 |
+
"grad_norm": 1.4311761856079102,
|
1656 |
+
"learning_rate": 1.4852386237513873e-05,
|
1657 |
+
"loss": 0.0143,
|
1658 |
+
"step": 2320
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 2.583471991125901,
|
1662 |
+
"grad_norm": 0.9924690127372742,
|
1663 |
+
"learning_rate": 1.4830188679245283e-05,
|
1664 |
+
"loss": 0.0198,
|
1665 |
+
"step": 2330
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 2.5945646145313366,
|
1669 |
+
"grad_norm": 0.6496040225028992,
|
1670 |
+
"learning_rate": 1.4807991120976695e-05,
|
1671 |
+
"loss": 0.014,
|
1672 |
+
"step": 2340
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 2.605657237936772,
|
1676 |
+
"grad_norm": 0.2335842400789261,
|
1677 |
+
"learning_rate": 1.4785793562708104e-05,
|
1678 |
+
"loss": 0.0128,
|
1679 |
+
"step": 2350
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 2.6167498613422073,
|
1683 |
+
"grad_norm": 0.6549142003059387,
|
1684 |
+
"learning_rate": 1.4763596004439513e-05,
|
1685 |
+
"loss": 0.019,
|
1686 |
+
"step": 2360
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 2.6278424847476427,
|
1690 |
+
"grad_norm": 0.3264187276363373,
|
1691 |
+
"learning_rate": 1.4741398446170922e-05,
|
1692 |
+
"loss": 0.0168,
|
1693 |
+
"step": 2370
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 2.638935108153078,
|
1697 |
+
"grad_norm": 0.4175679683685303,
|
1698 |
+
"learning_rate": 1.4719200887902332e-05,
|
1699 |
+
"loss": 0.0122,
|
1700 |
+
"step": 2380
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 2.6500277315585135,
|
1704 |
+
"grad_norm": 0.2968366742134094,
|
1705 |
+
"learning_rate": 1.469700332963374e-05,
|
1706 |
+
"loss": 0.0189,
|
1707 |
+
"step": 2390
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 2.661120354963949,
|
1711 |
+
"grad_norm": 1.5489327907562256,
|
1712 |
+
"learning_rate": 1.467480577136515e-05,
|
1713 |
+
"loss": 0.0158,
|
1714 |
+
"step": 2400
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 2.672212978369384,
|
1718 |
+
"grad_norm": 0.8017039895057678,
|
1719 |
+
"learning_rate": 1.465260821309656e-05,
|
1720 |
+
"loss": 0.0178,
|
1721 |
+
"step": 2410
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 2.6833056017748196,
|
1725 |
+
"grad_norm": 0.6136099100112915,
|
1726 |
+
"learning_rate": 1.4630410654827972e-05,
|
1727 |
+
"loss": 0.0164,
|
1728 |
+
"step": 2420
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 2.6943982251802554,
|
1732 |
+
"grad_norm": 0.5461011528968811,
|
1733 |
+
"learning_rate": 1.460821309655938e-05,
|
1734 |
+
"loss": 0.0168,
|
1735 |
+
"step": 2430
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 2.7054908485856908,
|
1739 |
+
"grad_norm": 0.2680525779724121,
|
1740 |
+
"learning_rate": 1.458601553829079e-05,
|
1741 |
+
"loss": 0.0138,
|
1742 |
+
"step": 2440
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 2.716583471991126,
|
1746 |
+
"grad_norm": 0.6884289383888245,
|
1747 |
+
"learning_rate": 1.45638179800222e-05,
|
1748 |
+
"loss": 0.0145,
|
1749 |
+
"step": 2450
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 2.7276760953965615,
|
1753 |
+
"grad_norm": 1.226928472518921,
|
1754 |
+
"learning_rate": 1.4541620421753608e-05,
|
1755 |
+
"loss": 0.0145,
|
1756 |
+
"step": 2460
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 2.738768718801997,
|
1760 |
+
"grad_norm": 0.447221040725708,
|
1761 |
+
"learning_rate": 1.4519422863485018e-05,
|
1762 |
+
"loss": 0.0168,
|
1763 |
+
"step": 2470
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 2.7498613422074323,
|
1767 |
+
"grad_norm": 0.47167718410491943,
|
1768 |
+
"learning_rate": 1.4497225305216428e-05,
|
1769 |
+
"loss": 0.0124,
|
1770 |
+
"step": 2480
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 2.7609539656128677,
|
1774 |
+
"grad_norm": 1.326282262802124,
|
1775 |
+
"learning_rate": 1.4475027746947836e-05,
|
1776 |
+
"loss": 0.0183,
|
1777 |
+
"step": 2490
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 2.772046589018303,
|
1781 |
+
"grad_norm": 0.9036744236946106,
|
1782 |
+
"learning_rate": 1.4452830188679246e-05,
|
1783 |
+
"loss": 0.023,
|
1784 |
+
"step": 2500
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 2.7831392124237384,
|
1788 |
+
"grad_norm": 0.30263999104499817,
|
1789 |
+
"learning_rate": 1.4430632630410657e-05,
|
1790 |
+
"loss": 0.0163,
|
1791 |
+
"step": 2510
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 2.794231835829174,
|
1795 |
+
"grad_norm": 0.7316049933433533,
|
1796 |
+
"learning_rate": 1.4408435072142067e-05,
|
1797 |
+
"loss": 0.0156,
|
1798 |
+
"step": 2520
|
1799 |
+
},
|
1800 |
+
{
|
1801 |
+
"epoch": 2.805324459234609,
|
1802 |
+
"grad_norm": 0.8268038630485535,
|
1803 |
+
"learning_rate": 1.4386237513873475e-05,
|
1804 |
+
"loss": 0.0169,
|
1805 |
+
"step": 2530
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 2.8164170826400445,
|
1809 |
+
"grad_norm": 0.633816659450531,
|
1810 |
+
"learning_rate": 1.4364039955604885e-05,
|
1811 |
+
"loss": 0.0147,
|
1812 |
+
"step": 2540
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 2.82750970604548,
|
1816 |
+
"grad_norm": 0.43913397192955017,
|
1817 |
+
"learning_rate": 1.4341842397336295e-05,
|
1818 |
+
"loss": 0.0122,
|
1819 |
+
"step": 2550
|
1820 |
+
},
|
1821 |
+
{
|
1822 |
+
"epoch": 2.8386023294509153,
|
1823 |
+
"grad_norm": 0.37594836950302124,
|
1824 |
+
"learning_rate": 1.4319644839067703e-05,
|
1825 |
+
"loss": 0.0149,
|
1826 |
+
"step": 2560
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 2.8496949528563507,
|
1830 |
+
"grad_norm": 0.5090307593345642,
|
1831 |
+
"learning_rate": 1.4297447280799113e-05,
|
1832 |
+
"loss": 0.015,
|
1833 |
+
"step": 2570
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 2.860787576261786,
|
1837 |
+
"grad_norm": 0.47723984718322754,
|
1838 |
+
"learning_rate": 1.4275249722530521e-05,
|
1839 |
+
"loss": 0.0166,
|
1840 |
+
"step": 2580
|
1841 |
+
},
|
1842 |
+
{
|
1843 |
+
"epoch": 2.8718801996672214,
|
1844 |
+
"grad_norm": 1.2512151002883911,
|
1845 |
+
"learning_rate": 1.4253052164261931e-05,
|
1846 |
+
"loss": 0.0136,
|
1847 |
+
"step": 2590
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 2.882972823072657,
|
1851 |
+
"grad_norm": 0.676337718963623,
|
1852 |
+
"learning_rate": 1.4230854605993343e-05,
|
1853 |
+
"loss": 0.0152,
|
1854 |
+
"step": 2600
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 2.894065446478092,
|
1858 |
+
"grad_norm": 0.7379328012466431,
|
1859 |
+
"learning_rate": 1.4208657047724752e-05,
|
1860 |
+
"loss": 0.0182,
|
1861 |
+
"step": 2610
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"epoch": 2.9051580698835275,
|
1865 |
+
"grad_norm": 0.8266171813011169,
|
1866 |
+
"learning_rate": 1.418645948945616e-05,
|
1867 |
+
"loss": 0.0207,
|
1868 |
+
"step": 2620
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 2.916250693288963,
|
1872 |
+
"grad_norm": 0.9925495982170105,
|
1873 |
+
"learning_rate": 1.416426193118757e-05,
|
1874 |
+
"loss": 0.0157,
|
1875 |
+
"step": 2630
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 2.9273433166943983,
|
1879 |
+
"grad_norm": 1.1120530366897583,
|
1880 |
+
"learning_rate": 1.414206437291898e-05,
|
1881 |
+
"loss": 0.0164,
|
1882 |
+
"step": 2640
|
1883 |
+
},
|
1884 |
+
{
|
1885 |
+
"epoch": 2.9384359400998337,
|
1886 |
+
"grad_norm": 0.9687446355819702,
|
1887 |
+
"learning_rate": 1.4119866814650389e-05,
|
1888 |
+
"loss": 0.0211,
|
1889 |
+
"step": 2650
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 2.949528563505269,
|
1893 |
+
"grad_norm": 0.19811566174030304,
|
1894 |
+
"learning_rate": 1.4097669256381798e-05,
|
1895 |
+
"loss": 0.0181,
|
1896 |
+
"step": 2660
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 2.9606211869107044,
|
1900 |
+
"grad_norm": 0.9253482818603516,
|
1901 |
+
"learning_rate": 1.4075471698113208e-05,
|
1902 |
+
"loss": 0.0158,
|
1903 |
+
"step": 2670
|
1904 |
+
},
|
1905 |
+
{
|
1906 |
+
"epoch": 2.97171381031614,
|
1907 |
+
"grad_norm": 0.677994430065155,
|
1908 |
+
"learning_rate": 1.405327413984462e-05,
|
1909 |
+
"loss": 0.024,
|
1910 |
+
"step": 2680
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 2.982806433721575,
|
1914 |
+
"grad_norm": 0.3959580361843109,
|
1915 |
+
"learning_rate": 1.4031076581576028e-05,
|
1916 |
+
"loss": 0.009,
|
1917 |
+
"step": 2690
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 2.9938990571270105,
|
1921 |
+
"grad_norm": 1.0569937229156494,
|
1922 |
+
"learning_rate": 1.4008879023307438e-05,
|
1923 |
+
"loss": 0.0187,
|
1924 |
+
"step": 2700
|
1925 |
+
},
|
1926 |
+
{
|
1927 |
+
"epoch": 3.0,
|
1928 |
+
"eval_accuracy": 0.8888888888888888,
|
1929 |
+
"eval_f1": 0.7171109200343938,
|
1930 |
+
"eval_loss": 0.3638182580471039,
|
1931 |
+
"eval_precision": 0.695,
|
1932 |
+
"eval_recall": 0.7406749555950266,
|
1933 |
+
"eval_runtime": 2.7252,
|
1934 |
+
"eval_samples_per_second": 362.177,
|
1935 |
+
"eval_steps_per_second": 11.375,
|
1936 |
+
"step": 2706
|
1937 |
+
},
|
1938 |
+
{
|
1939 |
+
"epoch": 3.004437049362174,
|
1940 |
+
"grad_norm": 0.22475391626358032,
|
1941 |
+
"learning_rate": 1.3986681465038848e-05,
|
1942 |
+
"loss": 0.0127,
|
1943 |
+
"step": 2710
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"epoch": 3.0155296727676095,
|
1947 |
+
"grad_norm": 0.42929062247276306,
|
1948 |
+
"learning_rate": 1.3964483906770256e-05,
|
1949 |
+
"loss": 0.0131,
|
1950 |
+
"step": 2720
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 3.026622296173045,
|
1954 |
+
"grad_norm": 2.398026466369629,
|
1955 |
+
"learning_rate": 1.3942286348501666e-05,
|
1956 |
+
"loss": 0.0072,
|
1957 |
+
"step": 2730
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"epoch": 3.0377149195784803,
|
1961 |
+
"grad_norm": 0.14908376336097717,
|
1962 |
+
"learning_rate": 1.3920088790233076e-05,
|
1963 |
+
"loss": 0.0082,
|
1964 |
+
"step": 2740
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 3.0488075429839157,
|
1968 |
+
"grad_norm": 0.8177769184112549,
|
1969 |
+
"learning_rate": 1.3897891231964484e-05,
|
1970 |
+
"loss": 0.0088,
|
1971 |
+
"step": 2750
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 3.059900166389351,
|
1975 |
+
"grad_norm": 0.13737396895885468,
|
1976 |
+
"learning_rate": 1.3875693673695894e-05,
|
1977 |
+
"loss": 0.008,
|
1978 |
+
"step": 2760
|
1979 |
+
},
|
1980 |
+
{
|
1981 |
+
"epoch": 3.0709927897947864,
|
1982 |
+
"grad_norm": 0.7825105786323547,
|
1983 |
+
"learning_rate": 1.3853496115427305e-05,
|
1984 |
+
"loss": 0.0034,
|
1985 |
+
"step": 2770
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 3.082085413200222,
|
1989 |
+
"grad_norm": 0.42062872648239136,
|
1990 |
+
"learning_rate": 1.3831298557158715e-05,
|
1991 |
+
"loss": 0.0062,
|
1992 |
+
"step": 2780
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 3.093178036605657,
|
1996 |
+
"grad_norm": 0.7224815487861633,
|
1997 |
+
"learning_rate": 1.3809100998890123e-05,
|
1998 |
+
"loss": 0.0055,
|
1999 |
+
"step": 2790
|
2000 |
+
},
|
2001 |
+
{
|
2002 |
+
"epoch": 3.1042706600110925,
|
2003 |
+
"grad_norm": 0.04094177484512329,
|
2004 |
+
"learning_rate": 1.3786903440621533e-05,
|
2005 |
+
"loss": 0.002,
|
2006 |
+
"step": 2800
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 3.115363283416528,
|
2010 |
+
"grad_norm": 0.03310002386569977,
|
2011 |
+
"learning_rate": 1.3764705882352943e-05,
|
2012 |
+
"loss": 0.0055,
|
2013 |
+
"step": 2810
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 3.1264559068219633,
|
2017 |
+
"grad_norm": 0.5118809938430786,
|
2018 |
+
"learning_rate": 1.3742508324084351e-05,
|
2019 |
+
"loss": 0.0054,
|
2020 |
+
"step": 2820
|
2021 |
+
},
|
2022 |
+
{
|
2023 |
+
"epoch": 3.1375485302273987,
|
2024 |
+
"grad_norm": 0.5759711861610413,
|
2025 |
+
"learning_rate": 1.3720310765815761e-05,
|
2026 |
+
"loss": 0.0086,
|
2027 |
+
"step": 2830
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 3.148641153632834,
|
2031 |
+
"grad_norm": 1.1310100555419922,
|
2032 |
+
"learning_rate": 1.3698113207547171e-05,
|
2033 |
+
"loss": 0.0091,
|
2034 |
+
"step": 2840
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 3.1597337770382694,
|
2038 |
+
"grad_norm": 0.04265379533171654,
|
2039 |
+
"learning_rate": 1.3675915649278579e-05,
|
2040 |
+
"loss": 0.0061,
|
2041 |
+
"step": 2850
|
2042 |
+
},
|
2043 |
+
{
|
2044 |
+
"epoch": 3.170826400443705,
|
2045 |
+
"grad_norm": 0.6648514270782471,
|
2046 |
+
"learning_rate": 1.365371809100999e-05,
|
2047 |
+
"loss": 0.0035,
|
2048 |
+
"step": 2860
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 3.18191902384914,
|
2052 |
+
"grad_norm": 0.02486938051879406,
|
2053 |
+
"learning_rate": 1.36315205327414e-05,
|
2054 |
+
"loss": 0.0055,
|
2055 |
+
"step": 2870
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 3.1930116472545755,
|
2059 |
+
"grad_norm": 0.5384965538978577,
|
2060 |
+
"learning_rate": 1.3609322974472809e-05,
|
2061 |
+
"loss": 0.0029,
|
2062 |
+
"step": 2880
|
2063 |
+
},
|
2064 |
+
{
|
2065 |
+
"epoch": 3.204104270660011,
|
2066 |
+
"grad_norm": 0.6231627464294434,
|
2067 |
+
"learning_rate": 1.3587125416204219e-05,
|
2068 |
+
"loss": 0.005,
|
2069 |
+
"step": 2890
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 3.2151968940654463,
|
2073 |
+
"grad_norm": 0.5190199613571167,
|
2074 |
+
"learning_rate": 1.3564927857935628e-05,
|
2075 |
+
"loss": 0.0083,
|
2076 |
+
"step": 2900
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 3.2262895174708817,
|
2080 |
+
"grad_norm": 0.39337947964668274,
|
2081 |
+
"learning_rate": 1.3542730299667037e-05,
|
2082 |
+
"loss": 0.0081,
|
2083 |
+
"step": 2910
|
2084 |
+
},
|
2085 |
+
{
|
2086 |
+
"epoch": 3.237382140876317,
|
2087 |
+
"grad_norm": 0.6862775683403015,
|
2088 |
+
"learning_rate": 1.3520532741398446e-05,
|
2089 |
+
"loss": 0.0074,
|
2090 |
+
"step": 2920
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 3.2484747642817524,
|
2094 |
+
"grad_norm": 1.0862469673156738,
|
2095 |
+
"learning_rate": 1.3498335183129856e-05,
|
2096 |
+
"loss": 0.0074,
|
2097 |
+
"step": 2930
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 3.259567387687188,
|
2101 |
+
"grad_norm": 1.1846354007720947,
|
2102 |
+
"learning_rate": 1.3476137624861268e-05,
|
2103 |
+
"loss": 0.0075,
|
2104 |
+
"step": 2940
|
2105 |
+
},
|
2106 |
+
{
|
2107 |
+
"epoch": 3.270660011092623,
|
2108 |
+
"grad_norm": 1.2481039762496948,
|
2109 |
+
"learning_rate": 1.3453940066592676e-05,
|
2110 |
+
"loss": 0.003,
|
2111 |
+
"step": 2950
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 3.281752634498059,
|
2115 |
+
"grad_norm": 0.3161996006965637,
|
2116 |
+
"learning_rate": 1.3431742508324086e-05,
|
2117 |
+
"loss": 0.0034,
|
2118 |
+
"step": 2960
|
2119 |
+
},
|
2120 |
+
{
|
2121 |
+
"epoch": 3.2928452579034944,
|
2122 |
+
"grad_norm": 0.6262934803962708,
|
2123 |
+
"learning_rate": 1.3409544950055496e-05,
|
2124 |
+
"loss": 0.0107,
|
2125 |
+
"step": 2970
|
2126 |
+
},
|
2127 |
+
{
|
2128 |
+
"epoch": 3.3039378813089297,
|
2129 |
+
"grad_norm": 0.9278308153152466,
|
2130 |
+
"learning_rate": 1.3387347391786904e-05,
|
2131 |
+
"loss": 0.0057,
|
2132 |
+
"step": 2980
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 3.315030504714365,
|
2136 |
+
"grad_norm": 0.40893518924713135,
|
2137 |
+
"learning_rate": 1.3365149833518314e-05,
|
2138 |
+
"loss": 0.0041,
|
2139 |
+
"step": 2990
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 3.3261231281198005,
|
2143 |
+
"grad_norm": 0.6295328736305237,
|
2144 |
+
"learning_rate": 1.3342952275249724e-05,
|
2145 |
+
"loss": 0.0032,
|
2146 |
+
"step": 3000
|
2147 |
+
},
|
2148 |
+
{
|
2149 |
+
"epoch": 3.337215751525236,
|
2150 |
+
"grad_norm": 0.039073534309864044,
|
2151 |
+
"learning_rate": 1.3320754716981132e-05,
|
2152 |
+
"loss": 0.0067,
|
2153 |
+
"step": 3010
|
2154 |
+
},
|
2155 |
+
{
|
2156 |
+
"epoch": 3.3483083749306712,
|
2157 |
+
"grad_norm": 0.5157305002212524,
|
2158 |
+
"learning_rate": 1.3298557158712542e-05,
|
2159 |
+
"loss": 0.0093,
|
2160 |
+
"step": 3020
|
2161 |
+
},
|
2162 |
+
{
|
2163 |
+
"epoch": 3.3594009983361066,
|
2164 |
+
"grad_norm": 0.9451714158058167,
|
2165 |
+
"learning_rate": 1.3276359600443953e-05,
|
2166 |
+
"loss": 0.0064,
|
2167 |
+
"step": 3030
|
2168 |
+
},
|
2169 |
+
{
|
2170 |
+
"epoch": 3.370493621741542,
|
2171 |
+
"grad_norm": 0.043243326246738434,
|
2172 |
+
"learning_rate": 1.3254162042175363e-05,
|
2173 |
+
"loss": 0.0062,
|
2174 |
+
"step": 3040
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 3.3815862451469774,
|
2178 |
+
"grad_norm": 1.2751350402832031,
|
2179 |
+
"learning_rate": 1.3231964483906771e-05,
|
2180 |
+
"loss": 0.011,
|
2181 |
+
"step": 3050
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"epoch": 3.3926788685524127,
|
2185 |
+
"grad_norm": 1.1212610006332397,
|
2186 |
+
"learning_rate": 1.3209766925638181e-05,
|
2187 |
+
"loss": 0.008,
|
2188 |
+
"step": 3060
|
2189 |
+
},
|
2190 |
+
{
|
2191 |
+
"epoch": 3.403771491957848,
|
2192 |
+
"grad_norm": 0.3985590934753418,
|
2193 |
+
"learning_rate": 1.3187569367369591e-05,
|
2194 |
+
"loss": 0.0066,
|
2195 |
+
"step": 3070
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"epoch": 3.4148641153632835,
|
2199 |
+
"grad_norm": 0.6546558737754822,
|
2200 |
+
"learning_rate": 1.3165371809101e-05,
|
2201 |
+
"loss": 0.0115,
|
2202 |
+
"step": 3080
|
2203 |
+
},
|
2204 |
+
{
|
2205 |
+
"epoch": 3.425956738768719,
|
2206 |
+
"grad_norm": 1.0568732023239136,
|
2207 |
+
"learning_rate": 1.3143174250832409e-05,
|
2208 |
+
"loss": 0.0104,
|
2209 |
+
"step": 3090
|
2210 |
+
},
|
2211 |
+
{
|
2212 |
+
"epoch": 3.4370493621741542,
|
2213 |
+
"grad_norm": 0.9182056188583374,
|
2214 |
+
"learning_rate": 1.3120976692563819e-05,
|
2215 |
+
"loss": 0.0079,
|
2216 |
+
"step": 3100
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 3.4481419855795896,
|
2220 |
+
"grad_norm": 1.700160026550293,
|
2221 |
+
"learning_rate": 1.3098779134295227e-05,
|
2222 |
+
"loss": 0.0061,
|
2223 |
+
"step": 3110
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"epoch": 3.459234608985025,
|
2227 |
+
"grad_norm": 0.09296636283397675,
|
2228 |
+
"learning_rate": 1.3076581576026639e-05,
|
2229 |
+
"loss": 0.0106,
|
2230 |
+
"step": 3120
|
2231 |
+
},
|
2232 |
+
{
|
2233 |
+
"epoch": 3.4703272323904604,
|
2234 |
+
"grad_norm": 0.8721600770950317,
|
2235 |
+
"learning_rate": 1.3054384017758049e-05,
|
2236 |
+
"loss": 0.0058,
|
2237 |
+
"step": 3130
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"epoch": 3.4814198557958957,
|
2241 |
+
"grad_norm": 0.5778414607048035,
|
2242 |
+
"learning_rate": 1.3032186459489457e-05,
|
2243 |
+
"loss": 0.0075,
|
2244 |
+
"step": 3140
|
2245 |
+
},
|
2246 |
+
{
|
2247 |
+
"epoch": 3.492512479201331,
|
2248 |
+
"grad_norm": 0.632172167301178,
|
2249 |
+
"learning_rate": 1.3009988901220867e-05,
|
2250 |
+
"loss": 0.0057,
|
2251 |
+
"step": 3150
|
2252 |
+
},
|
2253 |
+
{
|
2254 |
+
"epoch": 3.5036051026067665,
|
2255 |
+
"grad_norm": 0.49320322275161743,
|
2256 |
+
"learning_rate": 1.2987791342952276e-05,
|
2257 |
+
"loss": 0.0065,
|
2258 |
+
"step": 3160
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 3.514697726012202,
|
2262 |
+
"grad_norm": 1.2454118728637695,
|
2263 |
+
"learning_rate": 1.2965593784683685e-05,
|
2264 |
+
"loss": 0.0049,
|
2265 |
+
"step": 3170
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 3.5257903494176372,
|
2269 |
+
"grad_norm": 0.16420379281044006,
|
2270 |
+
"learning_rate": 1.2943396226415095e-05,
|
2271 |
+
"loss": 0.0042,
|
2272 |
+
"step": 3180
|
2273 |
+
},
|
2274 |
+
{
|
2275 |
+
"epoch": 3.5368829728230726,
|
2276 |
+
"grad_norm": 0.7556213736534119,
|
2277 |
+
"learning_rate": 1.2921198668146504e-05,
|
2278 |
+
"loss": 0.0076,
|
2279 |
+
"step": 3190
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"epoch": 3.547975596228508,
|
2283 |
+
"grad_norm": 0.7741811871528625,
|
2284 |
+
"learning_rate": 1.2899001109877916e-05,
|
2285 |
+
"loss": 0.0053,
|
2286 |
+
"step": 3200
|
2287 |
+
},
|
2288 |
+
{
|
2289 |
+
"epoch": 3.5590682196339434,
|
2290 |
+
"grad_norm": 0.3981403708457947,
|
2291 |
+
"learning_rate": 1.2876803551609324e-05,
|
2292 |
+
"loss": 0.0111,
|
2293 |
+
"step": 3210
|
2294 |
+
},
|
2295 |
+
{
|
2296 |
+
"epoch": 3.5701608430393788,
|
2297 |
+
"grad_norm": 1.556243658065796,
|
2298 |
+
"learning_rate": 1.2854605993340734e-05,
|
2299 |
+
"loss": 0.0082,
|
2300 |
+
"step": 3220
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 3.581253466444814,
|
2304 |
+
"grad_norm": 0.24557125568389893,
|
2305 |
+
"learning_rate": 1.2832408435072144e-05,
|
2306 |
+
"loss": 0.0048,
|
2307 |
+
"step": 3230
|
2308 |
+
},
|
2309 |
+
{
|
2310 |
+
"epoch": 3.5923460898502495,
|
2311 |
+
"grad_norm": 1.2477893829345703,
|
2312 |
+
"learning_rate": 1.2810210876803552e-05,
|
2313 |
+
"loss": 0.0023,
|
2314 |
+
"step": 3240
|
2315 |
+
},
|
2316 |
+
{
|
2317 |
+
"epoch": 3.603438713255685,
|
2318 |
+
"grad_norm": 0.04675845056772232,
|
2319 |
+
"learning_rate": 1.2788013318534962e-05,
|
2320 |
+
"loss": 0.0041,
|
2321 |
+
"step": 3250
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"epoch": 3.6145313366611203,
|
2325 |
+
"grad_norm": 0.571173906326294,
|
2326 |
+
"learning_rate": 1.2765815760266372e-05,
|
2327 |
+
"loss": 0.0055,
|
2328 |
+
"step": 3260
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 3.6256239600665556,
|
2332 |
+
"grad_norm": 0.5565969944000244,
|
2333 |
+
"learning_rate": 1.274361820199778e-05,
|
2334 |
+
"loss": 0.0092,
|
2335 |
+
"step": 3270
|
2336 |
+
},
|
2337 |
+
{
|
2338 |
+
"epoch": 3.636716583471991,
|
2339 |
+
"grad_norm": 0.013311430811882019,
|
2340 |
+
"learning_rate": 1.272142064372919e-05,
|
2341 |
+
"loss": 0.0071,
|
2342 |
+
"step": 3280
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 3.6478092068774264,
|
2346 |
+
"grad_norm": 1.6714210510253906,
|
2347 |
+
"learning_rate": 1.2699223085460601e-05,
|
2348 |
+
"loss": 0.0069,
|
2349 |
+
"step": 3290
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"epoch": 3.6589018302828618,
|
2353 |
+
"grad_norm": 0.7213656306266785,
|
2354 |
+
"learning_rate": 1.2677025527192011e-05,
|
2355 |
+
"loss": 0.0053,
|
2356 |
+
"step": 3300
|
2357 |
+
},
|
2358 |
+
{
|
2359 |
+
"epoch": 3.669994453688297,
|
2360 |
+
"grad_norm": 0.9073006510734558,
|
2361 |
+
"learning_rate": 1.265482796892342e-05,
|
2362 |
+
"loss": 0.0101,
|
2363 |
+
"step": 3310
|
2364 |
+
},
|
2365 |
+
{
|
2366 |
+
"epoch": 3.6810870770937325,
|
2367 |
+
"grad_norm": 0.29895493388175964,
|
2368 |
+
"learning_rate": 1.263263041065483e-05,
|
2369 |
+
"loss": 0.0052,
|
2370 |
+
"step": 3320
|
2371 |
+
},
|
2372 |
+
{
|
2373 |
+
"epoch": 3.6921797004991683,
|
2374 |
+
"grad_norm": 1.0842756032943726,
|
2375 |
+
"learning_rate": 1.2610432852386239e-05,
|
2376 |
+
"loss": 0.008,
|
2377 |
+
"step": 3330
|
2378 |
+
},
|
2379 |
+
{
|
2380 |
+
"epoch": 3.7032723239046037,
|
2381 |
+
"grad_norm": 0.7172666192054749,
|
2382 |
+
"learning_rate": 1.2588235294117647e-05,
|
2383 |
+
"loss": 0.01,
|
2384 |
+
"step": 3340
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 3.714364947310039,
|
2388 |
+
"grad_norm": 0.10475369542837143,
|
2389 |
+
"learning_rate": 1.2566037735849057e-05,
|
2390 |
+
"loss": 0.0063,
|
2391 |
+
"step": 3350
|
2392 |
+
},
|
2393 |
+
{
|
2394 |
+
"epoch": 3.7254575707154745,
|
2395 |
+
"grad_norm": 0.9639983177185059,
|
2396 |
+
"learning_rate": 1.2543840177580467e-05,
|
2397 |
+
"loss": 0.0059,
|
2398 |
+
"step": 3360
|
2399 |
+
},
|
2400 |
+
{
|
2401 |
+
"epoch": 3.73655019412091,
|
2402 |
+
"grad_norm": 0.9579765796661377,
|
2403 |
+
"learning_rate": 1.2521642619311875e-05,
|
2404 |
+
"loss": 0.0053,
|
2405 |
+
"step": 3370
|
2406 |
+
},
|
2407 |
+
{
|
2408 |
+
"epoch": 3.747642817526345,
|
2409 |
+
"grad_norm": 0.14046674966812134,
|
2410 |
+
"learning_rate": 1.2499445061043287e-05,
|
2411 |
+
"loss": 0.0081,
|
2412 |
+
"step": 3380
|
2413 |
+
},
|
2414 |
+
{
|
2415 |
+
"epoch": 3.7587354409317806,
|
2416 |
+
"grad_norm": 0.4136715233325958,
|
2417 |
+
"learning_rate": 1.2477247502774697e-05,
|
2418 |
+
"loss": 0.0101,
|
2419 |
+
"step": 3390
|
2420 |
+
},
|
2421 |
+
{
|
2422 |
+
"epoch": 3.769828064337216,
|
2423 |
+
"grad_norm": 0.30935949087142944,
|
2424 |
+
"learning_rate": 1.2455049944506107e-05,
|
2425 |
+
"loss": 0.0046,
|
2426 |
+
"step": 3400
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 3.7809206877426513,
|
2430 |
+
"grad_norm": 0.25942277908325195,
|
2431 |
+
"learning_rate": 1.2432852386237515e-05,
|
2432 |
+
"loss": 0.006,
|
2433 |
+
"step": 3410
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 3.7920133111480867,
|
2437 |
+
"grad_norm": 0.08538083732128143,
|
2438 |
+
"learning_rate": 1.2410654827968925e-05,
|
2439 |
+
"loss": 0.0038,
|
2440 |
+
"step": 3420
|
2441 |
+
},
|
2442 |
+
{
|
2443 |
+
"epoch": 3.803105934553522,
|
2444 |
+
"grad_norm": 0.11854628473520279,
|
2445 |
+
"learning_rate": 1.2388457269700334e-05,
|
2446 |
+
"loss": 0.0038,
|
2447 |
+
"step": 3430
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"epoch": 3.8141985579589575,
|
2451 |
+
"grad_norm": 0.2808975279331207,
|
2452 |
+
"learning_rate": 1.2366259711431743e-05,
|
2453 |
+
"loss": 0.0093,
|
2454 |
+
"step": 3440
|
2455 |
+
},
|
2456 |
+
{
|
2457 |
+
"epoch": 3.825291181364393,
|
2458 |
+
"grad_norm": 1.0285228490829468,
|
2459 |
+
"learning_rate": 1.2344062153163152e-05,
|
2460 |
+
"loss": 0.0101,
|
2461 |
+
"step": 3450
|
2462 |
+
},
|
2463 |
+
{
|
2464 |
+
"epoch": 3.836383804769828,
|
2465 |
+
"grad_norm": 0.43529564142227173,
|
2466 |
+
"learning_rate": 1.2321864594894564e-05,
|
2467 |
+
"loss": 0.0057,
|
2468 |
+
"step": 3460
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 3.8474764281752636,
|
2472 |
+
"grad_norm": 2.0706746578216553,
|
2473 |
+
"learning_rate": 1.2299667036625972e-05,
|
2474 |
+
"loss": 0.0079,
|
2475 |
+
"step": 3470
|
2476 |
+
},
|
2477 |
+
{
|
2478 |
+
"epoch": 3.858569051580699,
|
2479 |
+
"grad_norm": 0.9805829524993896,
|
2480 |
+
"learning_rate": 1.2277469478357382e-05,
|
2481 |
+
"loss": 0.0116,
|
2482 |
+
"step": 3480
|
2483 |
+
},
|
2484 |
+
{
|
2485 |
+
"epoch": 3.8696616749861343,
|
2486 |
+
"grad_norm": 0.754189133644104,
|
2487 |
+
"learning_rate": 1.2255271920088792e-05,
|
2488 |
+
"loss": 0.0056,
|
2489 |
+
"step": 3490
|
2490 |
+
},
|
2491 |
+
{
|
2492 |
+
"epoch": 3.8807542983915697,
|
2493 |
+
"grad_norm": 0.9179038405418396,
|
2494 |
+
"learning_rate": 1.22330743618202e-05,
|
2495 |
+
"loss": 0.0079,
|
2496 |
+
"step": 3500
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 3.891846921797005,
|
2500 |
+
"grad_norm": 1.5467790365219116,
|
2501 |
+
"learning_rate": 1.221087680355161e-05,
|
2502 |
+
"loss": 0.009,
|
2503 |
+
"step": 3510
|
2504 |
+
},
|
2505 |
+
{
|
2506 |
+
"epoch": 3.9029395452024405,
|
2507 |
+
"grad_norm": 0.44232311844825745,
|
2508 |
+
"learning_rate": 1.218867924528302e-05,
|
2509 |
+
"loss": 0.0072,
|
2510 |
+
"step": 3520
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 3.914032168607876,
|
2514 |
+
"grad_norm": 0.05650203302502632,
|
2515 |
+
"learning_rate": 1.2166481687014428e-05,
|
2516 |
+
"loss": 0.0053,
|
2517 |
+
"step": 3530
|
2518 |
+
},
|
2519 |
+
{
|
2520 |
+
"epoch": 3.925124792013311,
|
2521 |
+
"grad_norm": 0.6348217129707336,
|
2522 |
+
"learning_rate": 1.2144284128745838e-05,
|
2523 |
+
"loss": 0.009,
|
2524 |
+
"step": 3540
|
2525 |
+
},
|
2526 |
+
{
|
2527 |
+
"epoch": 3.9362174154187466,
|
2528 |
+
"grad_norm": 1.0749729871749878,
|
2529 |
+
"learning_rate": 1.212208657047725e-05,
|
2530 |
+
"loss": 0.0086,
|
2531 |
+
"step": 3550
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"epoch": 3.947310038824182,
|
2535 |
+
"grad_norm": 2.320844888687134,
|
2536 |
+
"learning_rate": 1.209988901220866e-05,
|
2537 |
+
"loss": 0.0096,
|
2538 |
+
"step": 3560
|
2539 |
+
},
|
2540 |
+
{
|
2541 |
+
"epoch": 3.9584026622296173,
|
2542 |
+
"grad_norm": 0.5694814324378967,
|
2543 |
+
"learning_rate": 1.2077691453940067e-05,
|
2544 |
+
"loss": 0.008,
|
2545 |
+
"step": 3570
|
2546 |
+
},
|
2547 |
+
{
|
2548 |
+
"epoch": 3.9694952856350527,
|
2549 |
+
"grad_norm": 0.9794883728027344,
|
2550 |
+
"learning_rate": 1.2055493895671477e-05,
|
2551 |
+
"loss": 0.0045,
|
2552 |
+
"step": 3580
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 3.980587909040488,
|
2556 |
+
"grad_norm": 0.2133321315050125,
|
2557 |
+
"learning_rate": 1.2033296337402887e-05,
|
2558 |
+
"loss": 0.0054,
|
2559 |
+
"step": 3590
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"epoch": 3.9916805324459235,
|
2563 |
+
"grad_norm": 1.423915147781372,
|
2564 |
+
"learning_rate": 1.2011098779134295e-05,
|
2565 |
+
"loss": 0.0127,
|
2566 |
+
"step": 3600
|
2567 |
+
},
|
2568 |
+
{
|
2569 |
+
"epoch": 4.0,
|
2570 |
+
"eval_accuracy": 0.8699763593380615,
|
2571 |
+
"eval_f1": 0.6728971962616822,
|
2572 |
+
"eval_loss": 0.4916483163833618,
|
2573 |
+
"eval_precision": 0.6449511400651465,
|
2574 |
+
"eval_recall": 0.7033747779751333,
|
2575 |
+
"eval_runtime": 2.7388,
|
2576 |
+
"eval_samples_per_second": 360.381,
|
2577 |
+
"eval_steps_per_second": 11.319,
|
2578 |
+
"step": 3608
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 4.002218524681087,
|
2582 |
+
"grad_norm": 0.7580460906028748,
|
2583 |
+
"learning_rate": 1.1988901220865705e-05,
|
2584 |
+
"loss": 0.0052,
|
2585 |
+
"step": 3610
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 4.0133111480865225,
|
2589 |
+
"grad_norm": 0.13793574273586273,
|
2590 |
+
"learning_rate": 1.1966703662597115e-05,
|
2591 |
+
"loss": 0.0024,
|
2592 |
+
"step": 3620
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 4.024403771491958,
|
2596 |
+
"grad_norm": 0.41575559973716736,
|
2597 |
+
"learning_rate": 1.1944506104328523e-05,
|
2598 |
+
"loss": 0.0028,
|
2599 |
+
"step": 3630
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 4.035496394897393,
|
2603 |
+
"grad_norm": 0.268417626619339,
|
2604 |
+
"learning_rate": 1.1922308546059935e-05,
|
2605 |
+
"loss": 0.0043,
|
2606 |
+
"step": 3640
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 4.046589018302829,
|
2610 |
+
"grad_norm": 0.227146178483963,
|
2611 |
+
"learning_rate": 1.1900110987791345e-05,
|
2612 |
+
"loss": 0.0014,
|
2613 |
+
"step": 3650
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 4.057681641708264,
|
2617 |
+
"grad_norm": 0.1434301882982254,
|
2618 |
+
"learning_rate": 1.1877913429522755e-05,
|
2619 |
+
"loss": 0.0012,
|
2620 |
+
"step": 3660
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 4.068774265113699,
|
2624 |
+
"grad_norm": 0.3861040472984314,
|
2625 |
+
"learning_rate": 1.1855715871254163e-05,
|
2626 |
+
"loss": 0.0027,
|
2627 |
+
"step": 3670
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 4.079866888519135,
|
2631 |
+
"grad_norm": 0.2243143618106842,
|
2632 |
+
"learning_rate": 1.1833518312985573e-05,
|
2633 |
+
"loss": 0.0062,
|
2634 |
+
"step": 3680
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 4.09095951192457,
|
2638 |
+
"grad_norm": 0.5330334901809692,
|
2639 |
+
"learning_rate": 1.1811320754716982e-05,
|
2640 |
+
"loss": 0.0074,
|
2641 |
+
"step": 3690
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 4.1020521353300055,
|
2645 |
+
"grad_norm": 0.3948166072368622,
|
2646 |
+
"learning_rate": 1.178912319644839e-05,
|
2647 |
+
"loss": 0.0047,
|
2648 |
+
"step": 3700
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 4.113144758735441,
|
2652 |
+
"grad_norm": 0.8226463198661804,
|
2653 |
+
"learning_rate": 1.17669256381798e-05,
|
2654 |
+
"loss": 0.0047,
|
2655 |
+
"step": 3710
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 4.124237382140876,
|
2659 |
+
"grad_norm": 0.5453665852546692,
|
2660 |
+
"learning_rate": 1.1744728079911212e-05,
|
2661 |
+
"loss": 0.003,
|
2662 |
+
"step": 3720
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 4.135330005546312,
|
2666 |
+
"grad_norm": 0.1433408111333847,
|
2667 |
+
"learning_rate": 1.172253052164262e-05,
|
2668 |
+
"loss": 0.0029,
|
2669 |
+
"step": 3730
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 4.146422628951747,
|
2673 |
+
"grad_norm": 0.14077675342559814,
|
2674 |
+
"learning_rate": 1.170033296337403e-05,
|
2675 |
+
"loss": 0.004,
|
2676 |
+
"step": 3740
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 4.157515252357182,
|
2680 |
+
"grad_norm": 0.08359857648611069,
|
2681 |
+
"learning_rate": 1.167813540510544e-05,
|
2682 |
+
"loss": 0.0034,
|
2683 |
+
"step": 3750
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 4.168607875762618,
|
2687 |
+
"grad_norm": 0.10568249225616455,
|
2688 |
+
"learning_rate": 1.1655937846836848e-05,
|
2689 |
+
"loss": 0.0019,
|
2690 |
+
"step": 3760
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 4.179700499168053,
|
2694 |
+
"grad_norm": 0.010569937527179718,
|
2695 |
+
"learning_rate": 1.1633740288568258e-05,
|
2696 |
+
"loss": 0.0039,
|
2697 |
+
"step": 3770
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 4.1907931225734885,
|
2701 |
+
"grad_norm": 0.38508471846580505,
|
2702 |
+
"learning_rate": 1.1611542730299668e-05,
|
2703 |
+
"loss": 0.0035,
|
2704 |
+
"step": 3780
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 4.201885745978924,
|
2708 |
+
"grad_norm": 0.4583463966846466,
|
2709 |
+
"learning_rate": 1.1589345172031076e-05,
|
2710 |
+
"loss": 0.0035,
|
2711 |
+
"step": 3790
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 4.212978369384359,
|
2715 |
+
"grad_norm": 0.26573556661605835,
|
2716 |
+
"learning_rate": 1.1567147613762486e-05,
|
2717 |
+
"loss": 0.0014,
|
2718 |
+
"step": 3800
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 4.224070992789795,
|
2722 |
+
"grad_norm": 0.699878454208374,
|
2723 |
+
"learning_rate": 1.1544950055493897e-05,
|
2724 |
+
"loss": 0.0034,
|
2725 |
+
"step": 3810
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 4.23516361619523,
|
2729 |
+
"grad_norm": 0.02065327949821949,
|
2730 |
+
"learning_rate": 1.1522752497225307e-05,
|
2731 |
+
"loss": 0.0028,
|
2732 |
+
"step": 3820
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 4.246256239600665,
|
2736 |
+
"grad_norm": 1.4631462097167969,
|
2737 |
+
"learning_rate": 1.1500554938956716e-05,
|
2738 |
+
"loss": 0.003,
|
2739 |
+
"step": 3830
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 4.257348863006101,
|
2743 |
+
"grad_norm": 1.0686756372451782,
|
2744 |
+
"learning_rate": 1.1478357380688125e-05,
|
2745 |
+
"loss": 0.0026,
|
2746 |
+
"step": 3840
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 4.268441486411536,
|
2750 |
+
"grad_norm": 0.15860460698604584,
|
2751 |
+
"learning_rate": 1.1456159822419535e-05,
|
2752 |
+
"loss": 0.0064,
|
2753 |
+
"step": 3850
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 4.2795341098169715,
|
2757 |
+
"grad_norm": 0.05696827918291092,
|
2758 |
+
"learning_rate": 1.1433962264150943e-05,
|
2759 |
+
"loss": 0.0033,
|
2760 |
+
"step": 3860
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 4.290626733222407,
|
2764 |
+
"grad_norm": 0.01276635192334652,
|
2765 |
+
"learning_rate": 1.1411764705882353e-05,
|
2766 |
+
"loss": 0.0059,
|
2767 |
+
"step": 3870
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 4.301719356627842,
|
2771 |
+
"grad_norm": 0.3438052535057068,
|
2772 |
+
"learning_rate": 1.1389567147613763e-05,
|
2773 |
+
"loss": 0.0022,
|
2774 |
+
"step": 3880
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 4.312811980033278,
|
2778 |
+
"grad_norm": 0.020309099927544594,
|
2779 |
+
"learning_rate": 1.1367369589345171e-05,
|
2780 |
+
"loss": 0.0029,
|
2781 |
+
"step": 3890
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 4.323904603438713,
|
2785 |
+
"grad_norm": 1.0980569124221802,
|
2786 |
+
"learning_rate": 1.1345172031076583e-05,
|
2787 |
+
"loss": 0.0012,
|
2788 |
+
"step": 3900
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 4.334997226844148,
|
2792 |
+
"grad_norm": 0.723771333694458,
|
2793 |
+
"learning_rate": 1.1322974472807993e-05,
|
2794 |
+
"loss": 0.0027,
|
2795 |
+
"step": 3910
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 4.346089850249584,
|
2799 |
+
"grad_norm": 0.009631435386836529,
|
2800 |
+
"learning_rate": 1.1300776914539403e-05,
|
2801 |
+
"loss": 0.0023,
|
2802 |
+
"step": 3920
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 4.357182473655019,
|
2806 |
+
"grad_norm": 0.29609665274620056,
|
2807 |
+
"learning_rate": 1.127857935627081e-05,
|
2808 |
+
"loss": 0.0044,
|
2809 |
+
"step": 3930
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 4.3682750970604545,
|
2813 |
+
"grad_norm": 0.06304040551185608,
|
2814 |
+
"learning_rate": 1.125638179800222e-05,
|
2815 |
+
"loss": 0.0024,
|
2816 |
+
"step": 3940
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 4.37936772046589,
|
2820 |
+
"grad_norm": 0.2765149176120758,
|
2821 |
+
"learning_rate": 1.123418423973363e-05,
|
2822 |
+
"loss": 0.003,
|
2823 |
+
"step": 3950
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 4.390460343871325,
|
2827 |
+
"grad_norm": 0.628939688205719,
|
2828 |
+
"learning_rate": 1.1211986681465039e-05,
|
2829 |
+
"loss": 0.0019,
|
2830 |
+
"step": 3960
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 4.401552967276761,
|
2834 |
+
"grad_norm": 0.5144364833831787,
|
2835 |
+
"learning_rate": 1.1189789123196449e-05,
|
2836 |
+
"loss": 0.0038,
|
2837 |
+
"step": 3970
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 4.412645590682196,
|
2841 |
+
"grad_norm": 0.02215411141514778,
|
2842 |
+
"learning_rate": 1.116759156492786e-05,
|
2843 |
+
"loss": 0.0052,
|
2844 |
+
"step": 3980
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 4.423738214087631,
|
2848 |
+
"grad_norm": 0.8358492851257324,
|
2849 |
+
"learning_rate": 1.114539400665927e-05,
|
2850 |
+
"loss": 0.0053,
|
2851 |
+
"step": 3990
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 4.434830837493067,
|
2855 |
+
"grad_norm": 0.49006780982017517,
|
2856 |
+
"learning_rate": 1.1123196448390678e-05,
|
2857 |
+
"loss": 0.0029,
|
2858 |
+
"step": 4000
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 4.445923460898502,
|
2862 |
+
"grad_norm": 0.08062740415334702,
|
2863 |
+
"learning_rate": 1.1100998890122088e-05,
|
2864 |
+
"loss": 0.0095,
|
2865 |
+
"step": 4010
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 4.4570160843039375,
|
2869 |
+
"grad_norm": 0.931599497795105,
|
2870 |
+
"learning_rate": 1.1078801331853496e-05,
|
2871 |
+
"loss": 0.009,
|
2872 |
+
"step": 4020
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 4.468108707709373,
|
2876 |
+
"grad_norm": 1.4779237508773804,
|
2877 |
+
"learning_rate": 1.1056603773584906e-05,
|
2878 |
+
"loss": 0.0075,
|
2879 |
+
"step": 4030
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 4.479201331114808,
|
2883 |
+
"grad_norm": 0.0675542801618576,
|
2884 |
+
"learning_rate": 1.1034406215316316e-05,
|
2885 |
+
"loss": 0.0029,
|
2886 |
+
"step": 4040
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 4.490293954520244,
|
2890 |
+
"grad_norm": 1.2957643270492554,
|
2891 |
+
"learning_rate": 1.1012208657047724e-05,
|
2892 |
+
"loss": 0.0079,
|
2893 |
+
"step": 4050
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 4.501386577925679,
|
2897 |
+
"grad_norm": 1.259100079536438,
|
2898 |
+
"learning_rate": 1.0990011098779134e-05,
|
2899 |
+
"loss": 0.0045,
|
2900 |
+
"step": 4060
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 4.512479201331114,
|
2904 |
+
"grad_norm": 0.4716441333293915,
|
2905 |
+
"learning_rate": 1.0967813540510546e-05,
|
2906 |
+
"loss": 0.0022,
|
2907 |
+
"step": 4070
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 4.52357182473655,
|
2911 |
+
"grad_norm": 0.12484975159168243,
|
2912 |
+
"learning_rate": 1.0945615982241955e-05,
|
2913 |
+
"loss": 0.0031,
|
2914 |
+
"step": 4080
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 4.534664448141985,
|
2918 |
+
"grad_norm": 0.07594279199838638,
|
2919 |
+
"learning_rate": 1.0923418423973364e-05,
|
2920 |
+
"loss": 0.0027,
|
2921 |
+
"step": 4090
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 4.5457570715474205,
|
2925 |
+
"grad_norm": 0.3258889317512512,
|
2926 |
+
"learning_rate": 1.0901220865704773e-05,
|
2927 |
+
"loss": 0.0051,
|
2928 |
+
"step": 4100
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 4.556849694952856,
|
2932 |
+
"grad_norm": 0.4499701261520386,
|
2933 |
+
"learning_rate": 1.0879023307436183e-05,
|
2934 |
+
"loss": 0.0016,
|
2935 |
+
"step": 4110
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 4.567942318358292,
|
2939 |
+
"grad_norm": 0.15266552567481995,
|
2940 |
+
"learning_rate": 1.0856825749167591e-05,
|
2941 |
+
"loss": 0.0026,
|
2942 |
+
"step": 4120
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 4.5790349417637275,
|
2946 |
+
"grad_norm": 0.07247844338417053,
|
2947 |
+
"learning_rate": 1.0834628190899001e-05,
|
2948 |
+
"loss": 0.0021,
|
2949 |
+
"step": 4130
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 4.590127565169163,
|
2953 |
+
"grad_norm": 1.395110845565796,
|
2954 |
+
"learning_rate": 1.0812430632630411e-05,
|
2955 |
+
"loss": 0.0033,
|
2956 |
+
"step": 4140
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 4.601220188574598,
|
2960 |
+
"grad_norm": 1.36636221408844,
|
2961 |
+
"learning_rate": 1.079023307436182e-05,
|
2962 |
+
"loss": 0.003,
|
2963 |
+
"step": 4150
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 4.612312811980034,
|
2967 |
+
"grad_norm": 1.0960825681686401,
|
2968 |
+
"learning_rate": 1.0768035516093231e-05,
|
2969 |
+
"loss": 0.0011,
|
2970 |
+
"step": 4160
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 4.623405435385469,
|
2974 |
+
"grad_norm": 1.0867245197296143,
|
2975 |
+
"learning_rate": 1.074583795782464e-05,
|
2976 |
+
"loss": 0.0045,
|
2977 |
+
"step": 4170
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 4.634498058790904,
|
2981 |
+
"grad_norm": 0.01242793258279562,
|
2982 |
+
"learning_rate": 1.072364039955605e-05,
|
2983 |
+
"loss": 0.0034,
|
2984 |
+
"step": 4180
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 4.64559068219634,
|
2988 |
+
"grad_norm": 0.0266682468354702,
|
2989 |
+
"learning_rate": 1.0701442841287459e-05,
|
2990 |
+
"loss": 0.0026,
|
2991 |
+
"step": 4190
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 4.656683305601775,
|
2995 |
+
"grad_norm": 1.711166262626648,
|
2996 |
+
"learning_rate": 1.0679245283018869e-05,
|
2997 |
+
"loss": 0.0032,
|
2998 |
+
"step": 4200
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 4.6677759290072105,
|
3002 |
+
"grad_norm": 1.225320816040039,
|
3003 |
+
"learning_rate": 1.0657047724750279e-05,
|
3004 |
+
"loss": 0.0049,
|
3005 |
+
"step": 4210
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 4.678868552412646,
|
3009 |
+
"grad_norm": 0.05706857517361641,
|
3010 |
+
"learning_rate": 1.0634850166481687e-05,
|
3011 |
+
"loss": 0.0024,
|
3012 |
+
"step": 4220
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 4.689961175818081,
|
3016 |
+
"grad_norm": 0.08420650660991669,
|
3017 |
+
"learning_rate": 1.0612652608213097e-05,
|
3018 |
+
"loss": 0.006,
|
3019 |
+
"step": 4230
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 4.701053799223517,
|
3023 |
+
"grad_norm": 0.014957012608647346,
|
3024 |
+
"learning_rate": 1.0590455049944508e-05,
|
3025 |
+
"loss": 0.0033,
|
3026 |
+
"step": 4240
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 4.712146422628952,
|
3030 |
+
"grad_norm": 0.2216530293226242,
|
3031 |
+
"learning_rate": 1.0568257491675918e-05,
|
3032 |
+
"loss": 0.0039,
|
3033 |
+
"step": 4250
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 4.723239046034387,
|
3037 |
+
"grad_norm": 0.1360142081975937,
|
3038 |
+
"learning_rate": 1.0546059933407326e-05,
|
3039 |
+
"loss": 0.0018,
|
3040 |
+
"step": 4260
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 4.734331669439823,
|
3044 |
+
"grad_norm": 0.004492219537496567,
|
3045 |
+
"learning_rate": 1.0523862375138736e-05,
|
3046 |
+
"loss": 0.0016,
|
3047 |
+
"step": 4270
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 4.745424292845258,
|
3051 |
+
"grad_norm": 0.0539228618144989,
|
3052 |
+
"learning_rate": 1.0501664816870146e-05,
|
3053 |
+
"loss": 0.0022,
|
3054 |
+
"step": 4280
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 4.7565169162506935,
|
3058 |
+
"grad_norm": 0.35766854882240295,
|
3059 |
+
"learning_rate": 1.0479467258601554e-05,
|
3060 |
+
"loss": 0.0022,
|
3061 |
+
"step": 4290
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 4.767609539656129,
|
3065 |
+
"grad_norm": 0.3328166902065277,
|
3066 |
+
"learning_rate": 1.0457269700332964e-05,
|
3067 |
+
"loss": 0.0062,
|
3068 |
+
"step": 4300
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 4.778702163061564,
|
3072 |
+
"grad_norm": 0.08985334634780884,
|
3073 |
+
"learning_rate": 1.0435072142064372e-05,
|
3074 |
+
"loss": 0.0013,
|
3075 |
+
"step": 4310
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 4.789794786467,
|
3079 |
+
"grad_norm": 0.010276420041918755,
|
3080 |
+
"learning_rate": 1.0412874583795782e-05,
|
3081 |
+
"loss": 0.0031,
|
3082 |
+
"step": 4320
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 4.800887409872435,
|
3086 |
+
"grad_norm": 0.5527135133743286,
|
3087 |
+
"learning_rate": 1.0390677025527194e-05,
|
3088 |
+
"loss": 0.004,
|
3089 |
+
"step": 4330
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 4.81198003327787,
|
3093 |
+
"grad_norm": 0.21018469333648682,
|
3094 |
+
"learning_rate": 1.0368479467258603e-05,
|
3095 |
+
"loss": 0.0021,
|
3096 |
+
"step": 4340
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 4.823072656683306,
|
3100 |
+
"grad_norm": 0.10334997624158859,
|
3101 |
+
"learning_rate": 1.0346281908990012e-05,
|
3102 |
+
"loss": 0.0045,
|
3103 |
+
"step": 4350
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 4.834165280088741,
|
3107 |
+
"grad_norm": 0.09865798056125641,
|
3108 |
+
"learning_rate": 1.0324084350721422e-05,
|
3109 |
+
"loss": 0.0008,
|
3110 |
+
"step": 4360
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 4.8452579034941765,
|
3114 |
+
"grad_norm": 0.24930772185325623,
|
3115 |
+
"learning_rate": 1.0301886792452831e-05,
|
3116 |
+
"loss": 0.0021,
|
3117 |
+
"step": 4370
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 4.856350526899612,
|
3121 |
+
"grad_norm": 0.7967151999473572,
|
3122 |
+
"learning_rate": 1.027968923418424e-05,
|
3123 |
+
"loss": 0.0027,
|
3124 |
+
"step": 4380
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 4.867443150305047,
|
3128 |
+
"grad_norm": 0.2117662876844406,
|
3129 |
+
"learning_rate": 1.025749167591565e-05,
|
3130 |
+
"loss": 0.0061,
|
3131 |
+
"step": 4390
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 4.878535773710483,
|
3135 |
+
"grad_norm": 0.38198602199554443,
|
3136 |
+
"learning_rate": 1.023529411764706e-05,
|
3137 |
+
"loss": 0.0032,
|
3138 |
+
"step": 4400
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 4.889628397115918,
|
3142 |
+
"grad_norm": 0.8646931648254395,
|
3143 |
+
"learning_rate": 1.0213096559378467e-05,
|
3144 |
+
"loss": 0.0074,
|
3145 |
+
"step": 4410
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 4.900721020521353,
|
3149 |
+
"grad_norm": 0.5245551466941833,
|
3150 |
+
"learning_rate": 1.0190899001109879e-05,
|
3151 |
+
"loss": 0.0029,
|
3152 |
+
"step": 4420
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 4.911813643926789,
|
3156 |
+
"grad_norm": 0.368184894323349,
|
3157 |
+
"learning_rate": 1.0168701442841289e-05,
|
3158 |
+
"loss": 0.0056,
|
3159 |
+
"step": 4430
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 4.922906267332224,
|
3163 |
+
"grad_norm": 1.3652911186218262,
|
3164 |
+
"learning_rate": 1.0146503884572699e-05,
|
3165 |
+
"loss": 0.0022,
|
3166 |
+
"step": 4440
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 4.9339988907376595,
|
3170 |
+
"grad_norm": 2.6624059677124023,
|
3171 |
+
"learning_rate": 1.0124306326304107e-05,
|
3172 |
+
"loss": 0.0059,
|
3173 |
+
"step": 4450
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 4.945091514143095,
|
3177 |
+
"grad_norm": 0.10531987994909286,
|
3178 |
+
"learning_rate": 1.0102108768035517e-05,
|
3179 |
+
"loss": 0.0017,
|
3180 |
+
"step": 4460
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 4.95618413754853,
|
3184 |
+
"grad_norm": 0.7769778966903687,
|
3185 |
+
"learning_rate": 1.0079911209766927e-05,
|
3186 |
+
"loss": 0.0054,
|
3187 |
+
"step": 4470
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 4.967276760953966,
|
3191 |
+
"grad_norm": 0.016158653423190117,
|
3192 |
+
"learning_rate": 1.0057713651498335e-05,
|
3193 |
+
"loss": 0.002,
|
3194 |
+
"step": 4480
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 4.978369384359401,
|
3198 |
+
"grad_norm": 0.09255735576152802,
|
3199 |
+
"learning_rate": 1.0035516093229745e-05,
|
3200 |
+
"loss": 0.005,
|
3201 |
+
"step": 4490
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 4.989462007764836,
|
3205 |
+
"grad_norm": 0.7796350717544556,
|
3206 |
+
"learning_rate": 1.0013318534961156e-05,
|
3207 |
+
"loss": 0.0025,
|
3208 |
+
"step": 4500
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 5.0,
|
3212 |
+
"grad_norm": 0.36661309003829956,
|
3213 |
+
"learning_rate": 9.991120976692564e-06,
|
3214 |
+
"loss": 0.0011,
|
3215 |
+
"step": 4510
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 5.0,
|
3219 |
+
"eval_accuracy": 0.8743667679837892,
|
3220 |
+
"eval_f1": 0.7009646302250804,
|
3221 |
+
"eval_loss": 0.5751733183860779,
|
3222 |
+
"eval_precision": 0.6402349486049926,
|
3223 |
+
"eval_recall": 0.7744227353463587,
|
3224 |
+
"eval_runtime": 2.6897,
|
3225 |
+
"eval_samples_per_second": 366.959,
|
3226 |
+
"eval_steps_per_second": 11.526,
|
3227 |
+
"step": 4510
|
3228 |
+
}
|
3229 |
+
],
|
3230 |
+
"logging_steps": 10,
|
3231 |
+
"max_steps": 9010,
|
3232 |
+
"num_input_tokens_seen": 0,
|
3233 |
+
"num_train_epochs": 10,
|
3234 |
+
"save_steps": 500,
|
3235 |
+
"stateful_callbacks": {
|
3236 |
+
"TrainerControl": {
|
3237 |
+
"args": {
|
3238 |
+
"should_epoch_stop": false,
|
3239 |
+
"should_evaluate": false,
|
3240 |
+
"should_log": false,
|
3241 |
+
"should_save": true,
|
3242 |
+
"should_training_stop": false
|
3243 |
+
},
|
3244 |
+
"attributes": {}
|
3245 |
+
}
|
3246 |
+
},
|
3247 |
+
"total_flos": 4.807363667558798e+16,
|
3248 |
+
"train_batch_size": 32,
|
3249 |
+
"trial_name": null,
|
3250 |
+
"trial_params": null
|
3251 |
+
}
|
checkpoint-4510/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e64fe8f815fa80a7291289cde9af3ebb27f62206c40a93e8adf97661cd289de3
|
3 |
+
size 5368
|
checkpoint-5412/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|