Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- checkpoint-2200/README.md +202 -0
- checkpoint-2200/adapter_config.json +34 -0
- checkpoint-2200/adapter_model.safetensors +3 -0
- checkpoint-2200/optimizer.pt +3 -0
- checkpoint-2200/rng_state.pth +3 -0
- checkpoint-2200/scaler.pt +3 -0
- checkpoint-2200/scheduler.pt +3 -0
- checkpoint-2200/special_tokens_map.json +30 -0
- checkpoint-2200/tokenizer.json +0 -0
- checkpoint-2200/tokenizer_config.json +84 -0
- checkpoint-2200/trainer_state.json +342 -0
- checkpoint-2200/training_args.bin +3 -0
- checkpoint-2252/README.md +202 -0
- checkpoint-2252/adapter_config.json +34 -0
- checkpoint-2252/adapter_model.safetensors +3 -0
- checkpoint-2252/optimizer.pt +3 -0
- checkpoint-2252/rng_state.pth +3 -0
- checkpoint-2252/scaler.pt +3 -0
- checkpoint-2252/scheduler.pt +3 -0
- checkpoint-2252/special_tokens_map.json +30 -0
- checkpoint-2252/tokenizer.json +0 -0
- checkpoint-2252/tokenizer_config.json +84 -0
- checkpoint-2252/trainer_state.json +349 -0
- checkpoint-2252/training_args.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +84 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: codellama/CodeLlama-7b-hf
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.15.2
|
adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-hf",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0.1,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": null,
|
22 |
+
"peft_type": "LORA",
|
23 |
+
"r": 64,
|
24 |
+
"rank_pattern": {},
|
25 |
+
"revision": null,
|
26 |
+
"target_modules": [
|
27 |
+
"v_proj",
|
28 |
+
"q_proj"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"trainable_token_indices": null,
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6f571bea4381e3c34057202efaa1668e097f3d6046f74041704efef043485192
|
3 |
+
size 134235048
|
checkpoint-2200/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: codellama/CodeLlama-7b-hf
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.15.2
|
checkpoint-2200/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-hf",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0.1,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": null,
|
22 |
+
"peft_type": "LORA",
|
23 |
+
"r": 64,
|
24 |
+
"rank_pattern": {},
|
25 |
+
"revision": null,
|
26 |
+
"target_modules": [
|
27 |
+
"v_proj",
|
28 |
+
"q_proj"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"trainable_token_indices": null,
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-2200/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2dd5db340e3ce6e4f590e4c0223a33e1f62eb3d7daca2a7fc25a1b343f1fd3c3
|
3 |
+
size 134235048
|
checkpoint-2200/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c884540892a79ff73c70ba0b200ab5ef419a772d07d01f1fb414c6879d9b34eb
|
3 |
+
size 268544075
|
checkpoint-2200/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cb17fa8eadcfa52cad8a24379c5a7b8e413543abecc8bc7dda80c9a7fb7eab35
|
3 |
+
size 14645
|
checkpoint-2200/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1f6829e47549862e022b4eedf087cf81394f448150e958ad6663988076bf8691
|
3 |
+
size 1383
|
checkpoint-2200/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:31b74e57e722b877f828e424ab13f209ceeb14ff35a8ede67bf1f0eadd3e0458
|
3 |
+
size 1465
|
checkpoint-2200/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"β<PRE>",
|
4 |
+
"β<MID>",
|
5 |
+
"β<SUF>",
|
6 |
+
"β<EOT>"
|
7 |
+
],
|
8 |
+
"bos_token": {
|
9 |
+
"content": "<s>",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": false,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
},
|
15 |
+
"eos_token": {
|
16 |
+
"content": "</s>",
|
17 |
+
"lstrip": false,
|
18 |
+
"normalized": false,
|
19 |
+
"rstrip": false,
|
20 |
+
"single_word": false
|
21 |
+
},
|
22 |
+
"pad_token": "</s>",
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
checkpoint-2200/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2200/tokenizer_config.json
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32007": {
|
30 |
+
"content": "β<PRE>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32008": {
|
38 |
+
"content": "β<SUF>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"32009": {
|
46 |
+
"content": "β<MID>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"32010": {
|
54 |
+
"content": "β<EOT>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
}
|
61 |
+
},
|
62 |
+
"additional_special_tokens": [
|
63 |
+
"β<PRE>",
|
64 |
+
"β<MID>",
|
65 |
+
"β<SUF>",
|
66 |
+
"β<EOT>"
|
67 |
+
],
|
68 |
+
"bos_token": "<s>",
|
69 |
+
"clean_up_tokenization_spaces": false,
|
70 |
+
"eos_token": "</s>",
|
71 |
+
"eot_token": "β<EOT>",
|
72 |
+
"extra_special_tokens": {},
|
73 |
+
"fill_token": "<FILL_ME>",
|
74 |
+
"legacy": null,
|
75 |
+
"middle_token": "β<MID>",
|
76 |
+
"model_max_length": 1000000000000000019884624838656,
|
77 |
+
"pad_token": "</s>",
|
78 |
+
"prefix_token": "β<PRE>",
|
79 |
+
"sp_model_kwargs": {},
|
80 |
+
"suffix_token": "β<SUF>",
|
81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
82 |
+
"unk_token": "<unk>",
|
83 |
+
"use_default_system_prompt": false
|
84 |
+
}
|
checkpoint-2200/trainer_state.json
ADDED
@@ -0,0 +1,342 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 3.9084444444444446,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 2200,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.08888888888888889,
|
14 |
+
"grad_norm": 0.045956578105688095,
|
15 |
+
"learning_rate": 0.00019564831261101244,
|
16 |
+
"loss": 0.322,
|
17 |
+
"step": 50
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.17777777777777778,
|
21 |
+
"grad_norm": 0.03815697133541107,
|
22 |
+
"learning_rate": 0.00019120781527531084,
|
23 |
+
"loss": 0.1842,
|
24 |
+
"step": 100
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.26666666666666666,
|
28 |
+
"grad_norm": 0.061464082449674606,
|
29 |
+
"learning_rate": 0.00018676731793960925,
|
30 |
+
"loss": 0.1801,
|
31 |
+
"step": 150
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.35555555555555557,
|
35 |
+
"grad_norm": 0.0637449324131012,
|
36 |
+
"learning_rate": 0.00018232682060390765,
|
37 |
+
"loss": 0.1773,
|
38 |
+
"step": 200
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.4444444444444444,
|
42 |
+
"grad_norm": 0.053989194333553314,
|
43 |
+
"learning_rate": 0.00017788632326820605,
|
44 |
+
"loss": 0.17,
|
45 |
+
"step": 250
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.5333333333333333,
|
49 |
+
"grad_norm": 0.06381799280643463,
|
50 |
+
"learning_rate": 0.00017344582593250445,
|
51 |
+
"loss": 0.1527,
|
52 |
+
"step": 300
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.6222222222222222,
|
56 |
+
"grad_norm": 0.07270950824022293,
|
57 |
+
"learning_rate": 0.00016900532859680286,
|
58 |
+
"loss": 0.1594,
|
59 |
+
"step": 350
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.7111111111111111,
|
63 |
+
"grad_norm": 0.051719773560762405,
|
64 |
+
"learning_rate": 0.00016456483126110126,
|
65 |
+
"loss": 0.1535,
|
66 |
+
"step": 400
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.8,
|
70 |
+
"grad_norm": 0.06734076142311096,
|
71 |
+
"learning_rate": 0.00016012433392539966,
|
72 |
+
"loss": 0.1431,
|
73 |
+
"step": 450
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.8888888888888888,
|
77 |
+
"grad_norm": 0.04238704591989517,
|
78 |
+
"learning_rate": 0.00015568383658969806,
|
79 |
+
"loss": 0.1439,
|
80 |
+
"step": 500
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.9777777777777777,
|
84 |
+
"grad_norm": 0.056586671620607376,
|
85 |
+
"learning_rate": 0.00015124333925399647,
|
86 |
+
"loss": 0.1333,
|
87 |
+
"step": 550
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.0657777777777777,
|
91 |
+
"grad_norm": 0.05698104947805405,
|
92 |
+
"learning_rate": 0.00014680284191829484,
|
93 |
+
"loss": 0.1474,
|
94 |
+
"step": 600
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 1.1546666666666667,
|
98 |
+
"grad_norm": 0.054345980286598206,
|
99 |
+
"learning_rate": 0.00014236234458259324,
|
100 |
+
"loss": 0.1253,
|
101 |
+
"step": 650
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.2435555555555555,
|
105 |
+
"grad_norm": 0.04708417132496834,
|
106 |
+
"learning_rate": 0.00013792184724689165,
|
107 |
+
"loss": 0.1349,
|
108 |
+
"step": 700
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 1.3324444444444445,
|
112 |
+
"grad_norm": 0.06845518201589584,
|
113 |
+
"learning_rate": 0.00013348134991119005,
|
114 |
+
"loss": 0.1144,
|
115 |
+
"step": 750
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 1.4213333333333333,
|
119 |
+
"grad_norm": 0.0530928298830986,
|
120 |
+
"learning_rate": 0.00012904085257548845,
|
121 |
+
"loss": 0.1168,
|
122 |
+
"step": 800
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.5102222222222221,
|
126 |
+
"grad_norm": 0.08338514715433121,
|
127 |
+
"learning_rate": 0.00012460035523978685,
|
128 |
+
"loss": 0.1237,
|
129 |
+
"step": 850
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 1.5991111111111111,
|
133 |
+
"grad_norm": 0.06609191745519638,
|
134 |
+
"learning_rate": 0.00012015985790408525,
|
135 |
+
"loss": 0.141,
|
136 |
+
"step": 900
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 1.688,
|
140 |
+
"grad_norm": 0.08270981907844543,
|
141 |
+
"learning_rate": 0.00011571936056838366,
|
142 |
+
"loss": 0.1256,
|
143 |
+
"step": 950
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.7768888888888887,
|
147 |
+
"grad_norm": 0.048950765281915665,
|
148 |
+
"learning_rate": 0.00011127886323268206,
|
149 |
+
"loss": 0.1175,
|
150 |
+
"step": 1000
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.8657777777777778,
|
154 |
+
"grad_norm": 0.06318267434835434,
|
155 |
+
"learning_rate": 0.00010683836589698046,
|
156 |
+
"loss": 0.1275,
|
157 |
+
"step": 1050
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 1.9546666666666668,
|
161 |
+
"grad_norm": 0.07041537761688232,
|
162 |
+
"learning_rate": 0.00010239786856127886,
|
163 |
+
"loss": 0.124,
|
164 |
+
"step": 1100
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.042666666666667,
|
168 |
+
"grad_norm": 0.0656278058886528,
|
169 |
+
"learning_rate": 9.795737122557727e-05,
|
170 |
+
"loss": 0.1327,
|
171 |
+
"step": 1150
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 2.1315555555555554,
|
175 |
+
"grad_norm": 0.06331595033407211,
|
176 |
+
"learning_rate": 9.351687388987567e-05,
|
177 |
+
"loss": 0.1069,
|
178 |
+
"step": 1200
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 2.2204444444444444,
|
182 |
+
"grad_norm": 0.04332101345062256,
|
183 |
+
"learning_rate": 8.907637655417407e-05,
|
184 |
+
"loss": 0.1024,
|
185 |
+
"step": 1250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 2.3093333333333335,
|
189 |
+
"grad_norm": 0.06444103270769119,
|
190 |
+
"learning_rate": 8.463587921847247e-05,
|
191 |
+
"loss": 0.1026,
|
192 |
+
"step": 1300
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 2.398222222222222,
|
196 |
+
"grad_norm": 0.06379590928554535,
|
197 |
+
"learning_rate": 8.019538188277088e-05,
|
198 |
+
"loss": 0.1189,
|
199 |
+
"step": 1350
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 2.487111111111111,
|
203 |
+
"grad_norm": 0.0656711533665657,
|
204 |
+
"learning_rate": 7.575488454706926e-05,
|
205 |
+
"loss": 0.1085,
|
206 |
+
"step": 1400
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.576,
|
210 |
+
"grad_norm": 0.07427001744508743,
|
211 |
+
"learning_rate": 7.131438721136767e-05,
|
212 |
+
"loss": 0.1245,
|
213 |
+
"step": 1450
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 2.664888888888889,
|
217 |
+
"grad_norm": 0.06245647370815277,
|
218 |
+
"learning_rate": 6.687388987566607e-05,
|
219 |
+
"loss": 0.1118,
|
220 |
+
"step": 1500
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 2.7537777777777777,
|
224 |
+
"grad_norm": 0.08108062297105789,
|
225 |
+
"learning_rate": 6.243339253996447e-05,
|
226 |
+
"loss": 0.1137,
|
227 |
+
"step": 1550
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 2.8426666666666667,
|
231 |
+
"grad_norm": 0.061958227306604385,
|
232 |
+
"learning_rate": 5.7992895204262874e-05,
|
233 |
+
"loss": 0.1001,
|
234 |
+
"step": 1600
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 2.9315555555555557,
|
238 |
+
"grad_norm": 0.056670840829610825,
|
239 |
+
"learning_rate": 5.3552397868561276e-05,
|
240 |
+
"loss": 0.1172,
|
241 |
+
"step": 1650
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 3.0195555555555558,
|
245 |
+
"grad_norm": 0.07005661725997925,
|
246 |
+
"learning_rate": 4.9111900532859686e-05,
|
247 |
+
"loss": 0.1099,
|
248 |
+
"step": 1700
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.1084444444444443,
|
252 |
+
"grad_norm": 0.0712517499923706,
|
253 |
+
"learning_rate": 4.467140319715809e-05,
|
254 |
+
"loss": 0.0932,
|
255 |
+
"step": 1750
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 3.1973333333333334,
|
259 |
+
"grad_norm": 0.07057236135005951,
|
260 |
+
"learning_rate": 4.0230905861456483e-05,
|
261 |
+
"loss": 0.0982,
|
262 |
+
"step": 1800
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 3.2862222222222224,
|
266 |
+
"grad_norm": 0.07291365414857864,
|
267 |
+
"learning_rate": 3.5790408525754886e-05,
|
268 |
+
"loss": 0.1008,
|
269 |
+
"step": 1850
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3.375111111111111,
|
273 |
+
"grad_norm": 0.11394993960857391,
|
274 |
+
"learning_rate": 3.134991119005329e-05,
|
275 |
+
"loss": 0.0933,
|
276 |
+
"step": 1900
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 3.464,
|
280 |
+
"grad_norm": 0.09188514947891235,
|
281 |
+
"learning_rate": 2.690941385435169e-05,
|
282 |
+
"loss": 0.0969,
|
283 |
+
"step": 1950
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 3.552888888888889,
|
287 |
+
"grad_norm": 0.08308542519807816,
|
288 |
+
"learning_rate": 2.246891651865009e-05,
|
289 |
+
"loss": 0.1067,
|
290 |
+
"step": 2000
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.6417777777777776,
|
294 |
+
"grad_norm": 0.10817820578813553,
|
295 |
+
"learning_rate": 1.8028419182948492e-05,
|
296 |
+
"loss": 0.0931,
|
297 |
+
"step": 2050
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3.7306666666666666,
|
301 |
+
"grad_norm": 0.06676340103149414,
|
302 |
+
"learning_rate": 1.3587921847246892e-05,
|
303 |
+
"loss": 0.0984,
|
304 |
+
"step": 2100
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 3.8195555555555556,
|
308 |
+
"grad_norm": 0.0792100727558136,
|
309 |
+
"learning_rate": 9.147424511545293e-06,
|
310 |
+
"loss": 0.1007,
|
311 |
+
"step": 2150
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 3.9084444444444446,
|
315 |
+
"grad_norm": 0.06362316757440567,
|
316 |
+
"learning_rate": 4.706927175843695e-06,
|
317 |
+
"loss": 0.0935,
|
318 |
+
"step": 2200
|
319 |
+
}
|
320 |
+
],
|
321 |
+
"logging_steps": 50,
|
322 |
+
"max_steps": 2252,
|
323 |
+
"num_input_tokens_seen": 0,
|
324 |
+
"num_train_epochs": 4,
|
325 |
+
"save_steps": 200,
|
326 |
+
"stateful_callbacks": {
|
327 |
+
"TrainerControl": {
|
328 |
+
"args": {
|
329 |
+
"should_epoch_stop": false,
|
330 |
+
"should_evaluate": false,
|
331 |
+
"should_log": false,
|
332 |
+
"should_save": true,
|
333 |
+
"should_training_stop": false
|
334 |
+
},
|
335 |
+
"attributes": {}
|
336 |
+
}
|
337 |
+
},
|
338 |
+
"total_flos": 1.435253975229137e+18,
|
339 |
+
"train_batch_size": 1,
|
340 |
+
"trial_name": null,
|
341 |
+
"trial_params": null
|
342 |
+
}
|
checkpoint-2200/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b20bc1779533f5c43fde67a40090933b237561f9835a8961fb7436884670175c
|
3 |
+
size 5713
|
checkpoint-2252/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: codellama/CodeLlama-7b-hf
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.15.2
|
checkpoint-2252/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-hf",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0.1,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": null,
|
22 |
+
"peft_type": "LORA",
|
23 |
+
"r": 64,
|
24 |
+
"rank_pattern": {},
|
25 |
+
"revision": null,
|
26 |
+
"target_modules": [
|
27 |
+
"v_proj",
|
28 |
+
"q_proj"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"trainable_token_indices": null,
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-2252/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6f571bea4381e3c34057202efaa1668e097f3d6046f74041704efef043485192
|
3 |
+
size 134235048
|
checkpoint-2252/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:853f671fd5bba23723c6ece88868809a7ab7c7de9249eb26f41e7cde858aa4c2
|
3 |
+
size 268544075
|
checkpoint-2252/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bde49a0be754d2b0d179e6df5f179032001243d38fed1e84f4f74fa81660a417
|
3 |
+
size 14645
|
checkpoint-2252/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:57afe8e622deb66783807f3c96f8c2357bc07b24c0aec4343e7adf0e11539c87
|
3 |
+
size 1383
|
checkpoint-2252/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83315a3c9a1f3c9f8e5e9cd70ad381bcef2b9f97b82e0954cc7381b77cbbea18
|
3 |
+
size 1465
|
checkpoint-2252/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"β<PRE>",
|
4 |
+
"β<MID>",
|
5 |
+
"β<SUF>",
|
6 |
+
"β<EOT>"
|
7 |
+
],
|
8 |
+
"bos_token": {
|
9 |
+
"content": "<s>",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": false,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
},
|
15 |
+
"eos_token": {
|
16 |
+
"content": "</s>",
|
17 |
+
"lstrip": false,
|
18 |
+
"normalized": false,
|
19 |
+
"rstrip": false,
|
20 |
+
"single_word": false
|
21 |
+
},
|
22 |
+
"pad_token": "</s>",
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
checkpoint-2252/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2252/tokenizer_config.json
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32007": {
|
30 |
+
"content": "β<PRE>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32008": {
|
38 |
+
"content": "β<SUF>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"32009": {
|
46 |
+
"content": "β<MID>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"32010": {
|
54 |
+
"content": "β<EOT>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
}
|
61 |
+
},
|
62 |
+
"additional_special_tokens": [
|
63 |
+
"β<PRE>",
|
64 |
+
"β<MID>",
|
65 |
+
"β<SUF>",
|
66 |
+
"β<EOT>"
|
67 |
+
],
|
68 |
+
"bos_token": "<s>",
|
69 |
+
"clean_up_tokenization_spaces": false,
|
70 |
+
"eos_token": "</s>",
|
71 |
+
"eot_token": "β<EOT>",
|
72 |
+
"extra_special_tokens": {},
|
73 |
+
"fill_token": "<FILL_ME>",
|
74 |
+
"legacy": null,
|
75 |
+
"middle_token": "β<MID>",
|
76 |
+
"model_max_length": 1000000000000000019884624838656,
|
77 |
+
"pad_token": "</s>",
|
78 |
+
"prefix_token": "β<PRE>",
|
79 |
+
"sp_model_kwargs": {},
|
80 |
+
"suffix_token": "β<SUF>",
|
81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
82 |
+
"unk_token": "<unk>",
|
83 |
+
"use_default_system_prompt": false
|
84 |
+
}
|
checkpoint-2252/trainer_state.json
ADDED
@@ -0,0 +1,349 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": 2252,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.08888888888888889,
|
14 |
+
"grad_norm": 0.045956578105688095,
|
15 |
+
"learning_rate": 0.00019564831261101244,
|
16 |
+
"loss": 0.322,
|
17 |
+
"step": 50
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.17777777777777778,
|
21 |
+
"grad_norm": 0.03815697133541107,
|
22 |
+
"learning_rate": 0.00019120781527531084,
|
23 |
+
"loss": 0.1842,
|
24 |
+
"step": 100
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.26666666666666666,
|
28 |
+
"grad_norm": 0.061464082449674606,
|
29 |
+
"learning_rate": 0.00018676731793960925,
|
30 |
+
"loss": 0.1801,
|
31 |
+
"step": 150
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.35555555555555557,
|
35 |
+
"grad_norm": 0.0637449324131012,
|
36 |
+
"learning_rate": 0.00018232682060390765,
|
37 |
+
"loss": 0.1773,
|
38 |
+
"step": 200
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.4444444444444444,
|
42 |
+
"grad_norm": 0.053989194333553314,
|
43 |
+
"learning_rate": 0.00017788632326820605,
|
44 |
+
"loss": 0.17,
|
45 |
+
"step": 250
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.5333333333333333,
|
49 |
+
"grad_norm": 0.06381799280643463,
|
50 |
+
"learning_rate": 0.00017344582593250445,
|
51 |
+
"loss": 0.1527,
|
52 |
+
"step": 300
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.6222222222222222,
|
56 |
+
"grad_norm": 0.07270950824022293,
|
57 |
+
"learning_rate": 0.00016900532859680286,
|
58 |
+
"loss": 0.1594,
|
59 |
+
"step": 350
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.7111111111111111,
|
63 |
+
"grad_norm": 0.051719773560762405,
|
64 |
+
"learning_rate": 0.00016456483126110126,
|
65 |
+
"loss": 0.1535,
|
66 |
+
"step": 400
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.8,
|
70 |
+
"grad_norm": 0.06734076142311096,
|
71 |
+
"learning_rate": 0.00016012433392539966,
|
72 |
+
"loss": 0.1431,
|
73 |
+
"step": 450
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.8888888888888888,
|
77 |
+
"grad_norm": 0.04238704591989517,
|
78 |
+
"learning_rate": 0.00015568383658969806,
|
79 |
+
"loss": 0.1439,
|
80 |
+
"step": 500
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.9777777777777777,
|
84 |
+
"grad_norm": 0.056586671620607376,
|
85 |
+
"learning_rate": 0.00015124333925399647,
|
86 |
+
"loss": 0.1333,
|
87 |
+
"step": 550
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.0657777777777777,
|
91 |
+
"grad_norm": 0.05698104947805405,
|
92 |
+
"learning_rate": 0.00014680284191829484,
|
93 |
+
"loss": 0.1474,
|
94 |
+
"step": 600
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 1.1546666666666667,
|
98 |
+
"grad_norm": 0.054345980286598206,
|
99 |
+
"learning_rate": 0.00014236234458259324,
|
100 |
+
"loss": 0.1253,
|
101 |
+
"step": 650
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.2435555555555555,
|
105 |
+
"grad_norm": 0.04708417132496834,
|
106 |
+
"learning_rate": 0.00013792184724689165,
|
107 |
+
"loss": 0.1349,
|
108 |
+
"step": 700
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 1.3324444444444445,
|
112 |
+
"grad_norm": 0.06845518201589584,
|
113 |
+
"learning_rate": 0.00013348134991119005,
|
114 |
+
"loss": 0.1144,
|
115 |
+
"step": 750
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 1.4213333333333333,
|
119 |
+
"grad_norm": 0.0530928298830986,
|
120 |
+
"learning_rate": 0.00012904085257548845,
|
121 |
+
"loss": 0.1168,
|
122 |
+
"step": 800
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.5102222222222221,
|
126 |
+
"grad_norm": 0.08338514715433121,
|
127 |
+
"learning_rate": 0.00012460035523978685,
|
128 |
+
"loss": 0.1237,
|
129 |
+
"step": 850
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 1.5991111111111111,
|
133 |
+
"grad_norm": 0.06609191745519638,
|
134 |
+
"learning_rate": 0.00012015985790408525,
|
135 |
+
"loss": 0.141,
|
136 |
+
"step": 900
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 1.688,
|
140 |
+
"grad_norm": 0.08270981907844543,
|
141 |
+
"learning_rate": 0.00011571936056838366,
|
142 |
+
"loss": 0.1256,
|
143 |
+
"step": 950
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.7768888888888887,
|
147 |
+
"grad_norm": 0.048950765281915665,
|
148 |
+
"learning_rate": 0.00011127886323268206,
|
149 |
+
"loss": 0.1175,
|
150 |
+
"step": 1000
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.8657777777777778,
|
154 |
+
"grad_norm": 0.06318267434835434,
|
155 |
+
"learning_rate": 0.00010683836589698046,
|
156 |
+
"loss": 0.1275,
|
157 |
+
"step": 1050
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 1.9546666666666668,
|
161 |
+
"grad_norm": 0.07041537761688232,
|
162 |
+
"learning_rate": 0.00010239786856127886,
|
163 |
+
"loss": 0.124,
|
164 |
+
"step": 1100
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.042666666666667,
|
168 |
+
"grad_norm": 0.0656278058886528,
|
169 |
+
"learning_rate": 9.795737122557727e-05,
|
170 |
+
"loss": 0.1327,
|
171 |
+
"step": 1150
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 2.1315555555555554,
|
175 |
+
"grad_norm": 0.06331595033407211,
|
176 |
+
"learning_rate": 9.351687388987567e-05,
|
177 |
+
"loss": 0.1069,
|
178 |
+
"step": 1200
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 2.2204444444444444,
|
182 |
+
"grad_norm": 0.04332101345062256,
|
183 |
+
"learning_rate": 8.907637655417407e-05,
|
184 |
+
"loss": 0.1024,
|
185 |
+
"step": 1250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 2.3093333333333335,
|
189 |
+
"grad_norm": 0.06444103270769119,
|
190 |
+
"learning_rate": 8.463587921847247e-05,
|
191 |
+
"loss": 0.1026,
|
192 |
+
"step": 1300
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 2.398222222222222,
|
196 |
+
"grad_norm": 0.06379590928554535,
|
197 |
+
"learning_rate": 8.019538188277088e-05,
|
198 |
+
"loss": 0.1189,
|
199 |
+
"step": 1350
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 2.487111111111111,
|
203 |
+
"grad_norm": 0.0656711533665657,
|
204 |
+
"learning_rate": 7.575488454706926e-05,
|
205 |
+
"loss": 0.1085,
|
206 |
+
"step": 1400
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.576,
|
210 |
+
"grad_norm": 0.07427001744508743,
|
211 |
+
"learning_rate": 7.131438721136767e-05,
|
212 |
+
"loss": 0.1245,
|
213 |
+
"step": 1450
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 2.664888888888889,
|
217 |
+
"grad_norm": 0.06245647370815277,
|
218 |
+
"learning_rate": 6.687388987566607e-05,
|
219 |
+
"loss": 0.1118,
|
220 |
+
"step": 1500
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 2.7537777777777777,
|
224 |
+
"grad_norm": 0.08108062297105789,
|
225 |
+
"learning_rate": 6.243339253996447e-05,
|
226 |
+
"loss": 0.1137,
|
227 |
+
"step": 1550
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 2.8426666666666667,
|
231 |
+
"grad_norm": 0.061958227306604385,
|
232 |
+
"learning_rate": 5.7992895204262874e-05,
|
233 |
+
"loss": 0.1001,
|
234 |
+
"step": 1600
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 2.9315555555555557,
|
238 |
+
"grad_norm": 0.056670840829610825,
|
239 |
+
"learning_rate": 5.3552397868561276e-05,
|
240 |
+
"loss": 0.1172,
|
241 |
+
"step": 1650
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 3.0195555555555558,
|
245 |
+
"grad_norm": 0.07005661725997925,
|
246 |
+
"learning_rate": 4.9111900532859686e-05,
|
247 |
+
"loss": 0.1099,
|
248 |
+
"step": 1700
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.1084444444444443,
|
252 |
+
"grad_norm": 0.0712517499923706,
|
253 |
+
"learning_rate": 4.467140319715809e-05,
|
254 |
+
"loss": 0.0932,
|
255 |
+
"step": 1750
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 3.1973333333333334,
|
259 |
+
"grad_norm": 0.07057236135005951,
|
260 |
+
"learning_rate": 4.0230905861456483e-05,
|
261 |
+
"loss": 0.0982,
|
262 |
+
"step": 1800
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 3.2862222222222224,
|
266 |
+
"grad_norm": 0.07291365414857864,
|
267 |
+
"learning_rate": 3.5790408525754886e-05,
|
268 |
+
"loss": 0.1008,
|
269 |
+
"step": 1850
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3.375111111111111,
|
273 |
+
"grad_norm": 0.11394993960857391,
|
274 |
+
"learning_rate": 3.134991119005329e-05,
|
275 |
+
"loss": 0.0933,
|
276 |
+
"step": 1900
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 3.464,
|
280 |
+
"grad_norm": 0.09188514947891235,
|
281 |
+
"learning_rate": 2.690941385435169e-05,
|
282 |
+
"loss": 0.0969,
|
283 |
+
"step": 1950
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 3.552888888888889,
|
287 |
+
"grad_norm": 0.08308542519807816,
|
288 |
+
"learning_rate": 2.246891651865009e-05,
|
289 |
+
"loss": 0.1067,
|
290 |
+
"step": 2000
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.6417777777777776,
|
294 |
+
"grad_norm": 0.10817820578813553,
|
295 |
+
"learning_rate": 1.8028419182948492e-05,
|
296 |
+
"loss": 0.0931,
|
297 |
+
"step": 2050
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3.7306666666666666,
|
301 |
+
"grad_norm": 0.06676340103149414,
|
302 |
+
"learning_rate": 1.3587921847246892e-05,
|
303 |
+
"loss": 0.0984,
|
304 |
+
"step": 2100
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 3.8195555555555556,
|
308 |
+
"grad_norm": 0.0792100727558136,
|
309 |
+
"learning_rate": 9.147424511545293e-06,
|
310 |
+
"loss": 0.1007,
|
311 |
+
"step": 2150
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 3.9084444444444446,
|
315 |
+
"grad_norm": 0.06362316757440567,
|
316 |
+
"learning_rate": 4.706927175843695e-06,
|
317 |
+
"loss": 0.0935,
|
318 |
+
"step": 2200
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 3.997333333333333,
|
322 |
+
"grad_norm": 0.08906163275241852,
|
323 |
+
"learning_rate": 2.6642984014209596e-07,
|
324 |
+
"loss": 0.0958,
|
325 |
+
"step": 2250
|
326 |
+
}
|
327 |
+
],
|
328 |
+
"logging_steps": 50,
|
329 |
+
"max_steps": 2252,
|
330 |
+
"num_input_tokens_seen": 0,
|
331 |
+
"num_train_epochs": 4,
|
332 |
+
"save_steps": 200,
|
333 |
+
"stateful_callbacks": {
|
334 |
+
"TrainerControl": {
|
335 |
+
"args": {
|
336 |
+
"should_epoch_stop": false,
|
337 |
+
"should_evaluate": false,
|
338 |
+
"should_log": false,
|
339 |
+
"should_save": true,
|
340 |
+
"should_training_stop": true
|
341 |
+
},
|
342 |
+
"attributes": {}
|
343 |
+
}
|
344 |
+
},
|
345 |
+
"total_flos": 1.468874889363456e+18,
|
346 |
+
"train_batch_size": 1,
|
347 |
+
"trial_name": null,
|
348 |
+
"trial_params": null
|
349 |
+
}
|
checkpoint-2252/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b20bc1779533f5c43fde67a40090933b237561f9835a8961fb7436884670175c
|
3 |
+
size 5713
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"β<PRE>",
|
4 |
+
"β<MID>",
|
5 |
+
"β<SUF>",
|
6 |
+
"β<EOT>"
|
7 |
+
],
|
8 |
+
"bos_token": {
|
9 |
+
"content": "<s>",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": false,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
},
|
15 |
+
"eos_token": {
|
16 |
+
"content": "</s>",
|
17 |
+
"lstrip": false,
|
18 |
+
"normalized": false,
|
19 |
+
"rstrip": false,
|
20 |
+
"single_word": false
|
21 |
+
},
|
22 |
+
"pad_token": "</s>",
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32007": {
|
30 |
+
"content": "β<PRE>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32008": {
|
38 |
+
"content": "β<SUF>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"32009": {
|
46 |
+
"content": "β<MID>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"32010": {
|
54 |
+
"content": "β<EOT>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
}
|
61 |
+
},
|
62 |
+
"additional_special_tokens": [
|
63 |
+
"β<PRE>",
|
64 |
+
"β<MID>",
|
65 |
+
"β<SUF>",
|
66 |
+
"β<EOT>"
|
67 |
+
],
|
68 |
+
"bos_token": "<s>",
|
69 |
+
"clean_up_tokenization_spaces": false,
|
70 |
+
"eos_token": "</s>",
|
71 |
+
"eot_token": "β<EOT>",
|
72 |
+
"extra_special_tokens": {},
|
73 |
+
"fill_token": "<FILL_ME>",
|
74 |
+
"legacy": null,
|
75 |
+
"middle_token": "β<MID>",
|
76 |
+
"model_max_length": 1000000000000000019884624838656,
|
77 |
+
"pad_token": "</s>",
|
78 |
+
"prefix_token": "β<PRE>",
|
79 |
+
"sp_model_kwargs": {},
|
80 |
+
"suffix_token": "β<SUF>",
|
81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
82 |
+
"unk_token": "<unk>",
|
83 |
+
"use_default_system_prompt": false
|
84 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b20bc1779533f5c43fde67a40090933b237561f9835a8961fb7436884670175c
|
3 |
+
size 5713
|