sallywww commited on
Commit
fbd8c55
1 Parent(s): c9d6ca2

add checkpoints

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +204 -0
  2. adapter_config.json +29 -0
  3. adapter_model.safetensors +3 -0
  4. checkpoint-100/README.md +204 -0
  5. checkpoint-100/adapter_config.json +29 -0
  6. checkpoint-100/adapter_model.safetensors +3 -0
  7. checkpoint-100/optimizer.pt +3 -0
  8. checkpoint-100/rng_state.pth +3 -0
  9. checkpoint-100/scheduler.pt +3 -0
  10. checkpoint-100/trainer_state.json +121 -0
  11. checkpoint-100/training_args.bin +3 -0
  12. checkpoint-120/README.md +204 -0
  13. checkpoint-120/adapter_config.json +29 -0
  14. checkpoint-120/adapter_model.safetensors +3 -0
  15. checkpoint-120/optimizer.pt +3 -0
  16. checkpoint-120/rng_state.pth +3 -0
  17. checkpoint-120/scheduler.pt +3 -0
  18. checkpoint-120/trainer_state.json +141 -0
  19. checkpoint-120/training_args.bin +3 -0
  20. checkpoint-140/README.md +204 -0
  21. checkpoint-140/adapter_config.json +29 -0
  22. checkpoint-140/adapter_model.safetensors +3 -0
  23. checkpoint-140/optimizer.pt +3 -0
  24. checkpoint-140/rng_state.pth +3 -0
  25. checkpoint-140/scheduler.pt +3 -0
  26. checkpoint-140/trainer_state.json +161 -0
  27. checkpoint-140/training_args.bin +3 -0
  28. checkpoint-160/README.md +204 -0
  29. checkpoint-160/adapter_config.json +29 -0
  30. checkpoint-160/adapter_model.safetensors +3 -0
  31. checkpoint-160/optimizer.pt +3 -0
  32. checkpoint-160/rng_state.pth +3 -0
  33. checkpoint-160/scheduler.pt +3 -0
  34. checkpoint-160/trainer_state.json +181 -0
  35. checkpoint-160/training_args.bin +3 -0
  36. checkpoint-180/README.md +204 -0
  37. checkpoint-180/adapter_config.json +29 -0
  38. checkpoint-180/adapter_model.safetensors +3 -0
  39. checkpoint-180/optimizer.pt +3 -0
  40. checkpoint-180/rng_state.pth +3 -0
  41. checkpoint-180/scheduler.pt +3 -0
  42. checkpoint-180/trainer_state.json +201 -0
  43. checkpoint-180/training_args.bin +3 -0
  44. checkpoint-20/README.md +204 -0
  45. checkpoint-20/adapter_config.json +29 -0
  46. checkpoint-20/adapter_model.safetensors +3 -0
  47. checkpoint-20/optimizer.pt +3 -0
  48. checkpoint-20/rng_state.pth +3 -0
  49. checkpoint-20/scheduler.pt +3 -0
  50. checkpoint-20/trainer_state.json +41 -0
README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: codellama/CodeLlama-7b-hf
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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.8.2
adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "q_proj",
24
+ "k_proj",
25
+ "v_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_rslora": false
29
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
3
+ size 48
checkpoint-100/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: codellama/CodeLlama-7b-hf
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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.8.2
checkpoint-100/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "q_proj",
24
+ "k_proj",
25
+ "v_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_rslora": false
29
+ }
checkpoint-100/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
3
+ size 48
checkpoint-100/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f874f4ba3edc90052241c7717501a02655e2297360d14d56b72da1cb37c3ff50
3
+ size 134433530
checkpoint-100/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f83980e6918d10a8b78990790050b48770758bad20f2137d55b21afba343f8ba
3
+ size 14244
checkpoint-100/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a1553fa3c9fa4158c1d95c29f303ea1c82da9959617b77d6296624e38c6ca27
3
+ size 1064
checkpoint-100/trainer_state.json ADDED
@@ -0,0 +1,121 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 8.16326530612245,
5
+ "eval_steps": 20,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.82,
13
+ "learning_rate": 2.9999999999999997e-05,
14
+ "loss": 1.7509,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 1.63,
19
+ "learning_rate": 5.9999999999999995e-05,
20
+ "loss": 1.6967,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 1.63,
25
+ "eval_loss": 1.6115258932113647,
26
+ "eval_runtime": 30.6688,
27
+ "eval_samples_per_second": 12.619,
28
+ "eval_steps_per_second": 1.598,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 2.45,
33
+ "learning_rate": 8.999999999999999e-05,
34
+ "loss": 1.5138,
35
+ "step": 30
36
+ },
37
+ {
38
+ "epoch": 3.27,
39
+ "learning_rate": 0.00011999999999999999,
40
+ "loss": 1.0417,
41
+ "step": 40
42
+ },
43
+ {
44
+ "epoch": 3.27,
45
+ "eval_loss": 0.5990618467330933,
46
+ "eval_runtime": 45.282,
47
+ "eval_samples_per_second": 8.546,
48
+ "eval_steps_per_second": 1.082,
49
+ "step": 40
50
+ },
51
+ {
52
+ "epoch": 4.08,
53
+ "learning_rate": 0.00015,
54
+ "loss": 0.4159,
55
+ "step": 50
56
+ },
57
+ {
58
+ "epoch": 4.9,
59
+ "learning_rate": 0.00017999999999999998,
60
+ "loss": 0.3112,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 4.9,
65
+ "eval_loss": 0.277026891708374,
66
+ "eval_runtime": 30.7302,
67
+ "eval_samples_per_second": 12.593,
68
+ "eval_steps_per_second": 1.595,
69
+ "step": 60
70
+ },
71
+ {
72
+ "epoch": 5.71,
73
+ "learning_rate": 0.00020999999999999998,
74
+ "loss": 0.285,
75
+ "step": 70
76
+ },
77
+ {
78
+ "epoch": 6.53,
79
+ "learning_rate": 0.00023999999999999998,
80
+ "loss": 0.27,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 6.53,
85
+ "eval_loss": 0.24872899055480957,
86
+ "eval_runtime": 30.6498,
87
+ "eval_samples_per_second": 12.627,
88
+ "eval_steps_per_second": 1.599,
89
+ "step": 80
90
+ },
91
+ {
92
+ "epoch": 7.35,
93
+ "learning_rate": 0.00027,
94
+ "loss": 0.2464,
95
+ "step": 90
96
+ },
97
+ {
98
+ "epoch": 8.16,
99
+ "learning_rate": 0.0003,
100
+ "loss": 0.2276,
101
+ "step": 100
102
+ },
103
+ {
104
+ "epoch": 8.16,
105
+ "eval_loss": 0.22304466366767883,
106
+ "eval_runtime": 30.6362,
107
+ "eval_samples_per_second": 12.632,
108
+ "eval_steps_per_second": 1.599,
109
+ "step": 100
110
+ }
111
+ ],
112
+ "logging_steps": 10,
113
+ "max_steps": 400,
114
+ "num_input_tokens_seen": 0,
115
+ "num_train_epochs": 34,
116
+ "save_steps": 20,
117
+ "total_flos": 2.5467399903903744e+17,
118
+ "train_batch_size": 32,
119
+ "trial_name": null,
120
+ "trial_params": null
121
+ }
checkpoint-100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8d1856a7e88d5d206461b4fada83bde140b82a5a28df09559656cee017c5bce
3
+ size 4664
checkpoint-120/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: codellama/CodeLlama-7b-hf
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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.8.2
checkpoint-120/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "q_proj",
24
+ "k_proj",
25
+ "v_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_rslora": false
29
+ }
checkpoint-120/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
3
+ size 48
checkpoint-120/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb63a7e3bd7b955d6919ac92ce44c227ae1fd0f5f284eb71d353294d5e45da6c
3
+ size 134433530
checkpoint-120/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2f836e8affa585842a356aad502d328cdc3e50fea8fcc717e527e492c41fee1
3
+ size 14244
checkpoint-120/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:915b81b2641ff3c1c29a91260eaebd9d13138742f1687cfcdc8c68bcb9ea698e
3
+ size 1064
checkpoint-120/trainer_state.json ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 9.795918367346939,
5
+ "eval_steps": 20,
6
+ "global_step": 120,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.82,
13
+ "learning_rate": 2.9999999999999997e-05,
14
+ "loss": 1.7509,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 1.63,
19
+ "learning_rate": 5.9999999999999995e-05,
20
+ "loss": 1.6967,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 1.63,
25
+ "eval_loss": 1.6115258932113647,
26
+ "eval_runtime": 30.6688,
27
+ "eval_samples_per_second": 12.619,
28
+ "eval_steps_per_second": 1.598,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 2.45,
33
+ "learning_rate": 8.999999999999999e-05,
34
+ "loss": 1.5138,
35
+ "step": 30
36
+ },
37
+ {
38
+ "epoch": 3.27,
39
+ "learning_rate": 0.00011999999999999999,
40
+ "loss": 1.0417,
41
+ "step": 40
42
+ },
43
+ {
44
+ "epoch": 3.27,
45
+ "eval_loss": 0.5990618467330933,
46
+ "eval_runtime": 45.282,
47
+ "eval_samples_per_second": 8.546,
48
+ "eval_steps_per_second": 1.082,
49
+ "step": 40
50
+ },
51
+ {
52
+ "epoch": 4.08,
53
+ "learning_rate": 0.00015,
54
+ "loss": 0.4159,
55
+ "step": 50
56
+ },
57
+ {
58
+ "epoch": 4.9,
59
+ "learning_rate": 0.00017999999999999998,
60
+ "loss": 0.3112,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 4.9,
65
+ "eval_loss": 0.277026891708374,
66
+ "eval_runtime": 30.7302,
67
+ "eval_samples_per_second": 12.593,
68
+ "eval_steps_per_second": 1.595,
69
+ "step": 60
70
+ },
71
+ {
72
+ "epoch": 5.71,
73
+ "learning_rate": 0.00020999999999999998,
74
+ "loss": 0.285,
75
+ "step": 70
76
+ },
77
+ {
78
+ "epoch": 6.53,
79
+ "learning_rate": 0.00023999999999999998,
80
+ "loss": 0.27,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 6.53,
85
+ "eval_loss": 0.24872899055480957,
86
+ "eval_runtime": 30.6498,
87
+ "eval_samples_per_second": 12.627,
88
+ "eval_steps_per_second": 1.599,
89
+ "step": 80
90
+ },
91
+ {
92
+ "epoch": 7.35,
93
+ "learning_rate": 0.00027,
94
+ "loss": 0.2464,
95
+ "step": 90
96
+ },
97
+ {
98
+ "epoch": 8.16,
99
+ "learning_rate": 0.0003,
100
+ "loss": 0.2276,
101
+ "step": 100
102
+ },
103
+ {
104
+ "epoch": 8.16,
105
+ "eval_loss": 0.22304466366767883,
106
+ "eval_runtime": 30.6362,
107
+ "eval_samples_per_second": 12.632,
108
+ "eval_steps_per_second": 1.599,
109
+ "step": 100
110
+ },
111
+ {
112
+ "epoch": 8.98,
113
+ "learning_rate": 0.00029,
114
+ "loss": 0.1993,
115
+ "step": 110
116
+ },
117
+ {
118
+ "epoch": 9.8,
119
+ "learning_rate": 0.00028,
120
+ "loss": 0.1747,
121
+ "step": 120
122
+ },
123
+ {
124
+ "epoch": 9.8,
125
+ "eval_loss": 0.20949400961399078,
126
+ "eval_runtime": 30.5837,
127
+ "eval_samples_per_second": 12.654,
128
+ "eval_steps_per_second": 1.602,
129
+ "step": 120
130
+ }
131
+ ],
132
+ "logging_steps": 10,
133
+ "max_steps": 400,
134
+ "num_input_tokens_seen": 0,
135
+ "num_train_epochs": 34,
136
+ "save_steps": 20,
137
+ "total_flos": 3.057919443515474e+17,
138
+ "train_batch_size": 32,
139
+ "trial_name": null,
140
+ "trial_params": null
141
+ }
checkpoint-120/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8d1856a7e88d5d206461b4fada83bde140b82a5a28df09559656cee017c5bce
3
+ size 4664
checkpoint-140/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: codellama/CodeLlama-7b-hf
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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.8.2
checkpoint-140/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "q_proj",
24
+ "k_proj",
25
+ "v_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_rslora": false
29
+ }
checkpoint-140/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
3
+ size 48
checkpoint-140/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:38597b5c11e9032f7857b2d4dca90788fcf80f6c01eba76d19895569d98c4028
3
+ size 134433530
checkpoint-140/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c6ff023b8ad03758e2bf7962e97407004f6fa05830ced892f656565e28339a5
3
+ size 14244
checkpoint-140/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86d5f7e9b17251247c39fdd59964f3693734ddb120bd20dcb453e9efae1445bd
3
+ size 1064
checkpoint-140/trainer_state.json ADDED
@@ -0,0 +1,161 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 11.428571428571429,
5
+ "eval_steps": 20,
6
+ "global_step": 140,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.82,
13
+ "learning_rate": 2.9999999999999997e-05,
14
+ "loss": 1.7509,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 1.63,
19
+ "learning_rate": 5.9999999999999995e-05,
20
+ "loss": 1.6967,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 1.63,
25
+ "eval_loss": 1.6115258932113647,
26
+ "eval_runtime": 30.6688,
27
+ "eval_samples_per_second": 12.619,
28
+ "eval_steps_per_second": 1.598,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 2.45,
33
+ "learning_rate": 8.999999999999999e-05,
34
+ "loss": 1.5138,
35
+ "step": 30
36
+ },
37
+ {
38
+ "epoch": 3.27,
39
+ "learning_rate": 0.00011999999999999999,
40
+ "loss": 1.0417,
41
+ "step": 40
42
+ },
43
+ {
44
+ "epoch": 3.27,
45
+ "eval_loss": 0.5990618467330933,
46
+ "eval_runtime": 45.282,
47
+ "eval_samples_per_second": 8.546,
48
+ "eval_steps_per_second": 1.082,
49
+ "step": 40
50
+ },
51
+ {
52
+ "epoch": 4.08,
53
+ "learning_rate": 0.00015,
54
+ "loss": 0.4159,
55
+ "step": 50
56
+ },
57
+ {
58
+ "epoch": 4.9,
59
+ "learning_rate": 0.00017999999999999998,
60
+ "loss": 0.3112,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 4.9,
65
+ "eval_loss": 0.277026891708374,
66
+ "eval_runtime": 30.7302,
67
+ "eval_samples_per_second": 12.593,
68
+ "eval_steps_per_second": 1.595,
69
+ "step": 60
70
+ },
71
+ {
72
+ "epoch": 5.71,
73
+ "learning_rate": 0.00020999999999999998,
74
+ "loss": 0.285,
75
+ "step": 70
76
+ },
77
+ {
78
+ "epoch": 6.53,
79
+ "learning_rate": 0.00023999999999999998,
80
+ "loss": 0.27,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 6.53,
85
+ "eval_loss": 0.24872899055480957,
86
+ "eval_runtime": 30.6498,
87
+ "eval_samples_per_second": 12.627,
88
+ "eval_steps_per_second": 1.599,
89
+ "step": 80
90
+ },
91
+ {
92
+ "epoch": 7.35,
93
+ "learning_rate": 0.00027,
94
+ "loss": 0.2464,
95
+ "step": 90
96
+ },
97
+ {
98
+ "epoch": 8.16,
99
+ "learning_rate": 0.0003,
100
+ "loss": 0.2276,
101
+ "step": 100
102
+ },
103
+ {
104
+ "epoch": 8.16,
105
+ "eval_loss": 0.22304466366767883,
106
+ "eval_runtime": 30.6362,
107
+ "eval_samples_per_second": 12.632,
108
+ "eval_steps_per_second": 1.599,
109
+ "step": 100
110
+ },
111
+ {
112
+ "epoch": 8.98,
113
+ "learning_rate": 0.00029,
114
+ "loss": 0.1993,
115
+ "step": 110
116
+ },
117
+ {
118
+ "epoch": 9.8,
119
+ "learning_rate": 0.00028,
120
+ "loss": 0.1747,
121
+ "step": 120
122
+ },
123
+ {
124
+ "epoch": 9.8,
125
+ "eval_loss": 0.20949400961399078,
126
+ "eval_runtime": 30.5837,
127
+ "eval_samples_per_second": 12.654,
128
+ "eval_steps_per_second": 1.602,
129
+ "step": 120
130
+ },
131
+ {
132
+ "epoch": 10.61,
133
+ "learning_rate": 0.00027,
134
+ "loss": 0.1408,
135
+ "step": 130
136
+ },
137
+ {
138
+ "epoch": 11.43,
139
+ "learning_rate": 0.00026,
140
+ "loss": 0.1131,
141
+ "step": 140
142
+ },
143
+ {
144
+ "epoch": 11.43,
145
+ "eval_loss": 0.20713694393634796,
146
+ "eval_runtime": 30.5887,
147
+ "eval_samples_per_second": 12.652,
148
+ "eval_steps_per_second": 1.602,
149
+ "step": 140
150
+ }
151
+ ],
152
+ "logging_steps": 10,
153
+ "max_steps": 400,
154
+ "num_input_tokens_seen": 0,
155
+ "num_train_epochs": 34,
156
+ "save_steps": 20,
157
+ "total_flos": 3.565334239043912e+17,
158
+ "train_batch_size": 32,
159
+ "trial_name": null,
160
+ "trial_params": null
161
+ }
checkpoint-140/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8d1856a7e88d5d206461b4fada83bde140b82a5a28df09559656cee017c5bce
3
+ size 4664
checkpoint-160/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: codellama/CodeLlama-7b-hf
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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.8.2
checkpoint-160/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "q_proj",
24
+ "k_proj",
25
+ "v_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_rslora": false
29
+ }
checkpoint-160/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
3
+ size 48
checkpoint-160/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31d666de4a36e9f322bf3bc17b971294f63e1062b91f96c542029442ec23e59c
3
+ size 134433530
checkpoint-160/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:696df26525098d79bb3e3b139111645ab2642f9fe3067f1ce1eb4c0c8eead651
3
+ size 14244
checkpoint-160/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6bc91ca4e04e59b6aa0def614e5d23daa02dfd514357b40e48edfe0bf128e03
3
+ size 1064
checkpoint-160/trainer_state.json ADDED
@@ -0,0 +1,181 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 13.061224489795919,
5
+ "eval_steps": 20,
6
+ "global_step": 160,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.82,
13
+ "learning_rate": 2.9999999999999997e-05,
14
+ "loss": 1.7509,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 1.63,
19
+ "learning_rate": 5.9999999999999995e-05,
20
+ "loss": 1.6967,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 1.63,
25
+ "eval_loss": 1.6115258932113647,
26
+ "eval_runtime": 30.6688,
27
+ "eval_samples_per_second": 12.619,
28
+ "eval_steps_per_second": 1.598,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 2.45,
33
+ "learning_rate": 8.999999999999999e-05,
34
+ "loss": 1.5138,
35
+ "step": 30
36
+ },
37
+ {
38
+ "epoch": 3.27,
39
+ "learning_rate": 0.00011999999999999999,
40
+ "loss": 1.0417,
41
+ "step": 40
42
+ },
43
+ {
44
+ "epoch": 3.27,
45
+ "eval_loss": 0.5990618467330933,
46
+ "eval_runtime": 45.282,
47
+ "eval_samples_per_second": 8.546,
48
+ "eval_steps_per_second": 1.082,
49
+ "step": 40
50
+ },
51
+ {
52
+ "epoch": 4.08,
53
+ "learning_rate": 0.00015,
54
+ "loss": 0.4159,
55
+ "step": 50
56
+ },
57
+ {
58
+ "epoch": 4.9,
59
+ "learning_rate": 0.00017999999999999998,
60
+ "loss": 0.3112,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 4.9,
65
+ "eval_loss": 0.277026891708374,
66
+ "eval_runtime": 30.7302,
67
+ "eval_samples_per_second": 12.593,
68
+ "eval_steps_per_second": 1.595,
69
+ "step": 60
70
+ },
71
+ {
72
+ "epoch": 5.71,
73
+ "learning_rate": 0.00020999999999999998,
74
+ "loss": 0.285,
75
+ "step": 70
76
+ },
77
+ {
78
+ "epoch": 6.53,
79
+ "learning_rate": 0.00023999999999999998,
80
+ "loss": 0.27,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 6.53,
85
+ "eval_loss": 0.24872899055480957,
86
+ "eval_runtime": 30.6498,
87
+ "eval_samples_per_second": 12.627,
88
+ "eval_steps_per_second": 1.599,
89
+ "step": 80
90
+ },
91
+ {
92
+ "epoch": 7.35,
93
+ "learning_rate": 0.00027,
94
+ "loss": 0.2464,
95
+ "step": 90
96
+ },
97
+ {
98
+ "epoch": 8.16,
99
+ "learning_rate": 0.0003,
100
+ "loss": 0.2276,
101
+ "step": 100
102
+ },
103
+ {
104
+ "epoch": 8.16,
105
+ "eval_loss": 0.22304466366767883,
106
+ "eval_runtime": 30.6362,
107
+ "eval_samples_per_second": 12.632,
108
+ "eval_steps_per_second": 1.599,
109
+ "step": 100
110
+ },
111
+ {
112
+ "epoch": 8.98,
113
+ "learning_rate": 0.00029,
114
+ "loss": 0.1993,
115
+ "step": 110
116
+ },
117
+ {
118
+ "epoch": 9.8,
119
+ "learning_rate": 0.00028,
120
+ "loss": 0.1747,
121
+ "step": 120
122
+ },
123
+ {
124
+ "epoch": 9.8,
125
+ "eval_loss": 0.20949400961399078,
126
+ "eval_runtime": 30.5837,
127
+ "eval_samples_per_second": 12.654,
128
+ "eval_steps_per_second": 1.602,
129
+ "step": 120
130
+ },
131
+ {
132
+ "epoch": 10.61,
133
+ "learning_rate": 0.00027,
134
+ "loss": 0.1408,
135
+ "step": 130
136
+ },
137
+ {
138
+ "epoch": 11.43,
139
+ "learning_rate": 0.00026,
140
+ "loss": 0.1131,
141
+ "step": 140
142
+ },
143
+ {
144
+ "epoch": 11.43,
145
+ "eval_loss": 0.20713694393634796,
146
+ "eval_runtime": 30.5887,
147
+ "eval_samples_per_second": 12.652,
148
+ "eval_steps_per_second": 1.602,
149
+ "step": 140
150
+ },
151
+ {
152
+ "epoch": 12.24,
153
+ "learning_rate": 0.00025,
154
+ "loss": 0.0839,
155
+ "step": 150
156
+ },
157
+ {
158
+ "epoch": 13.06,
159
+ "learning_rate": 0.00023999999999999998,
160
+ "loss": 0.0644,
161
+ "step": 160
162
+ },
163
+ {
164
+ "epoch": 13.06,
165
+ "eval_loss": 0.2342994511127472,
166
+ "eval_runtime": 30.5213,
167
+ "eval_samples_per_second": 12.68,
168
+ "eval_steps_per_second": 1.605,
169
+ "step": 160
170
+ }
171
+ ],
172
+ "logging_steps": 10,
173
+ "max_steps": 400,
174
+ "num_input_tokens_seen": 0,
175
+ "num_train_epochs": 34,
176
+ "save_steps": 20,
177
+ "total_flos": 4.0727490345723494e+17,
178
+ "train_batch_size": 32,
179
+ "trial_name": null,
180
+ "trial_params": null
181
+ }
checkpoint-160/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8d1856a7e88d5d206461b4fada83bde140b82a5a28df09559656cee017c5bce
3
+ size 4664
checkpoint-180/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: codellama/CodeLlama-7b-hf
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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.8.2
checkpoint-180/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "q_proj",
24
+ "k_proj",
25
+ "v_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_rslora": false
29
+ }
checkpoint-180/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
3
+ size 48
checkpoint-180/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8197ec33e4b8ca50ad19f31fddddc89bd576aa2c9094368dd4313d6168435d5c
3
+ size 134433530
checkpoint-180/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ba0b981dc12239aaf4850646865bbde8668564ad7178501587a5c65a1da4333
3
+ size 14244
checkpoint-180/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5dfc3bc75009efe48747cf9948a244ecefe4e6b758242f83bed075794e9a377
3
+ size 1064
checkpoint-180/trainer_state.json ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 14.693877551020408,
5
+ "eval_steps": 20,
6
+ "global_step": 180,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.82,
13
+ "learning_rate": 2.9999999999999997e-05,
14
+ "loss": 1.7509,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 1.63,
19
+ "learning_rate": 5.9999999999999995e-05,
20
+ "loss": 1.6967,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 1.63,
25
+ "eval_loss": 1.6115258932113647,
26
+ "eval_runtime": 30.6688,
27
+ "eval_samples_per_second": 12.619,
28
+ "eval_steps_per_second": 1.598,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 2.45,
33
+ "learning_rate": 8.999999999999999e-05,
34
+ "loss": 1.5138,
35
+ "step": 30
36
+ },
37
+ {
38
+ "epoch": 3.27,
39
+ "learning_rate": 0.00011999999999999999,
40
+ "loss": 1.0417,
41
+ "step": 40
42
+ },
43
+ {
44
+ "epoch": 3.27,
45
+ "eval_loss": 0.5990618467330933,
46
+ "eval_runtime": 45.282,
47
+ "eval_samples_per_second": 8.546,
48
+ "eval_steps_per_second": 1.082,
49
+ "step": 40
50
+ },
51
+ {
52
+ "epoch": 4.08,
53
+ "learning_rate": 0.00015,
54
+ "loss": 0.4159,
55
+ "step": 50
56
+ },
57
+ {
58
+ "epoch": 4.9,
59
+ "learning_rate": 0.00017999999999999998,
60
+ "loss": 0.3112,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 4.9,
65
+ "eval_loss": 0.277026891708374,
66
+ "eval_runtime": 30.7302,
67
+ "eval_samples_per_second": 12.593,
68
+ "eval_steps_per_second": 1.595,
69
+ "step": 60
70
+ },
71
+ {
72
+ "epoch": 5.71,
73
+ "learning_rate": 0.00020999999999999998,
74
+ "loss": 0.285,
75
+ "step": 70
76
+ },
77
+ {
78
+ "epoch": 6.53,
79
+ "learning_rate": 0.00023999999999999998,
80
+ "loss": 0.27,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 6.53,
85
+ "eval_loss": 0.24872899055480957,
86
+ "eval_runtime": 30.6498,
87
+ "eval_samples_per_second": 12.627,
88
+ "eval_steps_per_second": 1.599,
89
+ "step": 80
90
+ },
91
+ {
92
+ "epoch": 7.35,
93
+ "learning_rate": 0.00027,
94
+ "loss": 0.2464,
95
+ "step": 90
96
+ },
97
+ {
98
+ "epoch": 8.16,
99
+ "learning_rate": 0.0003,
100
+ "loss": 0.2276,
101
+ "step": 100
102
+ },
103
+ {
104
+ "epoch": 8.16,
105
+ "eval_loss": 0.22304466366767883,
106
+ "eval_runtime": 30.6362,
107
+ "eval_samples_per_second": 12.632,
108
+ "eval_steps_per_second": 1.599,
109
+ "step": 100
110
+ },
111
+ {
112
+ "epoch": 8.98,
113
+ "learning_rate": 0.00029,
114
+ "loss": 0.1993,
115
+ "step": 110
116
+ },
117
+ {
118
+ "epoch": 9.8,
119
+ "learning_rate": 0.00028,
120
+ "loss": 0.1747,
121
+ "step": 120
122
+ },
123
+ {
124
+ "epoch": 9.8,
125
+ "eval_loss": 0.20949400961399078,
126
+ "eval_runtime": 30.5837,
127
+ "eval_samples_per_second": 12.654,
128
+ "eval_steps_per_second": 1.602,
129
+ "step": 120
130
+ },
131
+ {
132
+ "epoch": 10.61,
133
+ "learning_rate": 0.00027,
134
+ "loss": 0.1408,
135
+ "step": 130
136
+ },
137
+ {
138
+ "epoch": 11.43,
139
+ "learning_rate": 0.00026,
140
+ "loss": 0.1131,
141
+ "step": 140
142
+ },
143
+ {
144
+ "epoch": 11.43,
145
+ "eval_loss": 0.20713694393634796,
146
+ "eval_runtime": 30.5887,
147
+ "eval_samples_per_second": 12.652,
148
+ "eval_steps_per_second": 1.602,
149
+ "step": 140
150
+ },
151
+ {
152
+ "epoch": 12.24,
153
+ "learning_rate": 0.00025,
154
+ "loss": 0.0839,
155
+ "step": 150
156
+ },
157
+ {
158
+ "epoch": 13.06,
159
+ "learning_rate": 0.00023999999999999998,
160
+ "loss": 0.0644,
161
+ "step": 160
162
+ },
163
+ {
164
+ "epoch": 13.06,
165
+ "eval_loss": 0.2342994511127472,
166
+ "eval_runtime": 30.5213,
167
+ "eval_samples_per_second": 12.68,
168
+ "eval_steps_per_second": 1.605,
169
+ "step": 160
170
+ },
171
+ {
172
+ "epoch": 13.88,
173
+ "learning_rate": 0.00023,
174
+ "loss": 0.0466,
175
+ "step": 170
176
+ },
177
+ {
178
+ "epoch": 14.69,
179
+ "learning_rate": 0.00021999999999999995,
180
+ "loss": 0.0365,
181
+ "step": 180
182
+ },
183
+ {
184
+ "epoch": 14.69,
185
+ "eval_loss": 0.263688862323761,
186
+ "eval_runtime": 30.5969,
187
+ "eval_samples_per_second": 12.648,
188
+ "eval_steps_per_second": 1.601,
189
+ "step": 180
190
+ }
191
+ ],
192
+ "logging_steps": 10,
193
+ "max_steps": 400,
194
+ "num_input_tokens_seen": 0,
195
+ "num_train_epochs": 34,
196
+ "save_steps": 20,
197
+ "total_flos": 4.584742467718349e+17,
198
+ "train_batch_size": 32,
199
+ "trial_name": null,
200
+ "trial_params": null
201
+ }
checkpoint-180/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8d1856a7e88d5d206461b4fada83bde140b82a5a28df09559656cee017c5bce
3
+ size 4664
checkpoint-20/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: codellama/CodeLlama-7b-hf
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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.8.2
checkpoint-20/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "q_proj",
24
+ "k_proj",
25
+ "v_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_rslora": false
29
+ }
checkpoint-20/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
3
+ size 48
checkpoint-20/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51b3740dfb324e345a0eea52b52c7c4e483dda810c019fad2bf567e2b9726fff
3
+ size 134433530
checkpoint-20/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f61e883dcc30853d98a024849c79c146662f7571765d5c6ec7e0f3fc38c998c0
3
+ size 14244
checkpoint-20/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bc30782c80f39b95ece53e16ed533d0eb1d775796dc4d2c39691e355b142ab4
3
+ size 1064
checkpoint-20/trainer_state.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.6326530612244898,
5
+ "eval_steps": 20,
6
+ "global_step": 20,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.82,
13
+ "learning_rate": 2.9999999999999997e-05,
14
+ "loss": 1.7509,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 1.63,
19
+ "learning_rate": 5.9999999999999995e-05,
20
+ "loss": 1.6967,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 1.63,
25
+ "eval_loss": 1.6115258932113647,
26
+ "eval_runtime": 30.6688,
27
+ "eval_samples_per_second": 12.619,
28
+ "eval_steps_per_second": 1.598,
29
+ "step": 20
30
+ }
31
+ ],
32
+ "logging_steps": 10,
33
+ "max_steps": 400,
34
+ "num_input_tokens_seen": 0,
35
+ "num_train_epochs": 34,
36
+ "save_steps": 20,
37
+ "total_flos": 5.116881906381619e+16,
38
+ "train_batch_size": 32,
39
+ "trial_name": null,
40
+ "trial_params": null
41
+ }