devlocalhost commited on
Commit
c3be532
·
1 Parent(s): 805518b

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +49 -13
README.md CHANGED
@@ -1,20 +1,56 @@
1
  ---
2
- library_name: peft
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  ## Training procedure
5
 
 
6
 
7
- The following `bitsandbytes` quantization config was used during training:
8
- - load_in_8bit: False
9
- - load_in_4bit: True
10
- - llm_int8_threshold: 6.0
11
- - llm_int8_skip_modules: None
12
- - llm_int8_enable_fp32_cpu_offload: False
13
- - llm_int8_has_fp16_weight: False
14
- - bnb_4bit_quant_type: nf4
15
- - bnb_4bit_use_double_quant: True
16
- - bnb_4bit_compute_dtype: float16
17
- ### Framework versions
 
18
 
19
 
20
- - PEFT 0.4.0
 
 
 
 
 
 
 
1
  ---
2
+ license: apache-2.0
3
+ base_model: PY007/TinyLlama-1.1B-Chat-v0.3
4
+ tags:
5
+ - trl
6
+ - sft
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: tinyllama-min-primary-secondary-lora
10
+ results: []
11
  ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # tinyllama-min-primary-secondary-lora
17
+
18
+ This model is a fine-tuned version of [PY007/TinyLlama-1.1B-Chat-v0.3](https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.3) on the None dataset.
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
  ## Training procedure
33
 
34
+ ### Training hyperparameters
35
 
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 0.0002
38
+ - train_batch_size: 8
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - gradient_accumulation_steps: 4
42
+ - total_train_batch_size: 32
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: cosine
45
+ - training_steps: 200
46
+
47
+ ### Training results
48
 
49
 
50
+
51
+ ### Framework versions
52
+
53
+ - Transformers 4.31.0
54
+ - Pytorch 2.0.1+cu117
55
+ - Datasets 2.15.0
56
+ - Tokenizers 0.13.3