Dang-gu commited on
Commit
8a63570
1 Parent(s): e4acdfe

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. checkpoint-1000/README.md +204 -0
  2. checkpoint-1000/adapter_config.json +32 -0
  3. checkpoint-1000/adapter_model.safetensors +3 -0
  4. checkpoint-1000/merges.txt +0 -0
  5. checkpoint-1000/optimizer.pt +3 -0
  6. checkpoint-1000/rng_state_0.pth +3 -0
  7. checkpoint-1000/rng_state_1.pth +3 -0
  8. checkpoint-1000/scheduler.pt +3 -0
  9. checkpoint-1000/special_tokens_map.json +64 -0
  10. checkpoint-1000/tokenizer.json +0 -0
  11. checkpoint-1000/tokenizer_config.json +357 -0
  12. checkpoint-1000/trainer_state.json +721 -0
  13. checkpoint-1000/training_args.bin +3 -0
  14. checkpoint-1000/vocab.json +0 -0
  15. checkpoint-10000/README.md +204 -0
  16. checkpoint-10000/adapter_config.json +32 -0
  17. checkpoint-10000/adapter_model.safetensors +3 -0
  18. checkpoint-10000/merges.txt +0 -0
  19. checkpoint-10000/optimizer.pt +3 -0
  20. checkpoint-10000/rng_state_0.pth +3 -0
  21. checkpoint-10000/rng_state_1.pth +3 -0
  22. checkpoint-10000/scheduler.pt +3 -0
  23. checkpoint-10000/special_tokens_map.json +64 -0
  24. checkpoint-10000/tokenizer.json +0 -0
  25. checkpoint-10000/tokenizer_config.json +357 -0
  26. checkpoint-10000/trainer_state.json +0 -0
  27. checkpoint-10000/training_args.bin +3 -0
  28. checkpoint-10000/vocab.json +0 -0
  29. checkpoint-1500/README.md +204 -0
  30. checkpoint-1500/adapter_config.json +32 -0
  31. checkpoint-1500/adapter_model.safetensors +3 -0
  32. checkpoint-1500/merges.txt +0 -0
  33. checkpoint-1500/optimizer.pt +3 -0
  34. checkpoint-1500/rng_state_0.pth +3 -0
  35. checkpoint-1500/rng_state_1.pth +3 -0
  36. checkpoint-1500/scheduler.pt +3 -0
  37. checkpoint-1500/special_tokens_map.json +64 -0
  38. checkpoint-1500/tokenizer.json +0 -0
  39. checkpoint-1500/tokenizer_config.json +357 -0
  40. checkpoint-1500/trainer_state.json +1071 -0
  41. checkpoint-1500/training_args.bin +3 -0
  42. checkpoint-1500/vocab.json +0 -0
  43. checkpoint-2000/README.md +204 -0
  44. checkpoint-2000/adapter_config.json +32 -0
  45. checkpoint-2000/adapter_model.safetensors +3 -0
  46. checkpoint-2000/merges.txt +0 -0
  47. checkpoint-2000/optimizer.pt +3 -0
  48. checkpoint-2000/rng_state_0.pth +3 -0
  49. checkpoint-2000/rng_state_1.pth +3 -0
  50. checkpoint-2000/scheduler.pt +3 -0
checkpoint-1000/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: bigcode/starcoder2-3b
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-1000/adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "bigcode/starcoder2-3b",
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": 8,
13
+ "lora_dropout": 0.0,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 8,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "gate_proj",
23
+ "o_proj",
24
+ "up_proj",
25
+ "q_proj",
26
+ "k_proj",
27
+ "v_proj",
28
+ "down_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_rslora": false
32
+ }
checkpoint-1000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2197ca5fb78fab5baad1564622a87da567b004d58dfbd924111bcd71c9845a23
3
+ size 9124880
checkpoint-1000/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67d6deca66221dc483ff92166c016ba3f35cf89341c5002b32139134a6377b4d
3
+ size 10077242
checkpoint-1000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82321f0708535856b4d9c1c5a37a602dd7203e721400686817268cd11a7f5789
3
+ size 14512
checkpoint-1000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7b5ac7f8cc659cc4f6b6e7dcea414c51ed4146e20673dc4ad10475a13429623
3
+ size 14512
checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a5822d523cf429f6319cb543ecd811275a601283b403df836fb14d267cebeca
3
+ size 1064
checkpoint-1000/special_tokens_map.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|endoftext|>",
4
+ "<fim_prefix>",
5
+ "<fim_middle>",
6
+ "<fim_suffix>",
7
+ "<fim_pad>",
8
+ "<repo_name>",
9
+ "<file_sep>",
10
+ "<issue_start>",
11
+ "<issue_comment>",
12
+ "<issue_closed>",
13
+ "<jupyter_start>",
14
+ "<jupyter_text>",
15
+ "<jupyter_code>",
16
+ "<jupyter_output>",
17
+ "<jupyter_script>",
18
+ "<empty_output>",
19
+ "<code_to_intermediate>",
20
+ "<intermediate_to_code>",
21
+ "<pr>",
22
+ "<pr_status>",
23
+ "<pr_is_merged>",
24
+ "<pr_base>",
25
+ "<pr_file>",
26
+ "<pr_base_code>",
27
+ "<pr_diff>",
28
+ "<pr_diff_hunk>",
29
+ "<pr_comment>",
30
+ "<pr_event_id>",
31
+ "<pr_review>",
32
+ "<pr_review_state>",
33
+ "<pr_review_comment>",
34
+ "<pr_in_reply_to_review_id>",
35
+ "<pr_in_reply_to_comment_id>",
36
+ "<pr_diff_hunk_comment_line>",
37
+ "<NAME>",
38
+ "<EMAIL>",
39
+ "<KEY>",
40
+ "<PASSWORD>"
41
+ ],
42
+ "bos_token": {
43
+ "content": "<|endoftext|>",
44
+ "lstrip": false,
45
+ "normalized": false,
46
+ "rstrip": false,
47
+ "single_word": false
48
+ },
49
+ "eos_token": {
50
+ "content": "<|endoftext|>",
51
+ "lstrip": false,
52
+ "normalized": false,
53
+ "rstrip": false,
54
+ "single_word": false
55
+ },
56
+ "pad_token": "<|endoftext|>",
57
+ "unk_token": {
58
+ "content": "<|endoftext|>",
59
+ "lstrip": false,
60
+ "normalized": false,
61
+ "rstrip": false,
62
+ "single_word": false
63
+ }
64
+ }
checkpoint-1000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1000/tokenizer_config.json ADDED
@@ -0,0 +1,357 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<fim_prefix>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<fim_middle>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<fim_suffix>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<fim_pad>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<repo_name>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<file_sep>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<issue_start>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_comment>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_closed>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<jupyter_start>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_text>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_code>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_output>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_script>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<empty_output>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<code_to_intermediate>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ },
140
+ "17": {
141
+ "content": "<intermediate_to_code>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": true
147
+ },
148
+ "18": {
149
+ "content": "<pr>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": true
155
+ },
156
+ "19": {
157
+ "content": "<pr_status>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": true
163
+ },
164
+ "20": {
165
+ "content": "<pr_is_merged>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": true
171
+ },
172
+ "21": {
173
+ "content": "<pr_base>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": true
179
+ },
180
+ "22": {
181
+ "content": "<pr_file>",
182
+ "lstrip": false,
183
+ "normalized": false,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": true
187
+ },
188
+ "23": {
189
+ "content": "<pr_base_code>",
190
+ "lstrip": false,
191
+ "normalized": false,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": true
195
+ },
196
+ "24": {
197
+ "content": "<pr_diff>",
198
+ "lstrip": false,
199
+ "normalized": false,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": true
203
+ },
204
+ "25": {
205
+ "content": "<pr_diff_hunk>",
206
+ "lstrip": false,
207
+ "normalized": false,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": true
211
+ },
212
+ "26": {
213
+ "content": "<pr_comment>",
214
+ "lstrip": false,
215
+ "normalized": false,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": true
219
+ },
220
+ "27": {
221
+ "content": "<pr_event_id>",
222
+ "lstrip": false,
223
+ "normalized": false,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "28": {
229
+ "content": "<pr_review>",
230
+ "lstrip": false,
231
+ "normalized": false,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "29": {
237
+ "content": "<pr_review_state>",
238
+ "lstrip": false,
239
+ "normalized": false,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "30": {
245
+ "content": "<pr_review_comment>",
246
+ "lstrip": false,
247
+ "normalized": false,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": true
251
+ },
252
+ "31": {
253
+ "content": "<pr_in_reply_to_review_id>",
254
+ "lstrip": false,
255
+ "normalized": false,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": true
259
+ },
260
+ "32": {
261
+ "content": "<pr_in_reply_to_comment_id>",
262
+ "lstrip": false,
263
+ "normalized": false,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": true
267
+ },
268
+ "33": {
269
+ "content": "<pr_diff_hunk_comment_line>",
270
+ "lstrip": false,
271
+ "normalized": false,
272
+ "rstrip": false,
273
+ "single_word": false,
274
+ "special": true
275
+ },
276
+ "34": {
277
+ "content": "<NAME>",
278
+ "lstrip": false,
279
+ "normalized": false,
280
+ "rstrip": false,
281
+ "single_word": false,
282
+ "special": true
283
+ },
284
+ "35": {
285
+ "content": "<EMAIL>",
286
+ "lstrip": false,
287
+ "normalized": false,
288
+ "rstrip": false,
289
+ "single_word": false,
290
+ "special": true
291
+ },
292
+ "36": {
293
+ "content": "<KEY>",
294
+ "lstrip": false,
295
+ "normalized": false,
296
+ "rstrip": false,
297
+ "single_word": false,
298
+ "special": true
299
+ },
300
+ "37": {
301
+ "content": "<PASSWORD>",
302
+ "lstrip": false,
303
+ "normalized": false,
304
+ "rstrip": false,
305
+ "single_word": false,
306
+ "special": true
307
+ }
308
+ },
309
+ "additional_special_tokens": [
310
+ "<|endoftext|>",
311
+ "<fim_prefix>",
312
+ "<fim_middle>",
313
+ "<fim_suffix>",
314
+ "<fim_pad>",
315
+ "<repo_name>",
316
+ "<file_sep>",
317
+ "<issue_start>",
318
+ "<issue_comment>",
319
+ "<issue_closed>",
320
+ "<jupyter_start>",
321
+ "<jupyter_text>",
322
+ "<jupyter_code>",
323
+ "<jupyter_output>",
324
+ "<jupyter_script>",
325
+ "<empty_output>",
326
+ "<code_to_intermediate>",
327
+ "<intermediate_to_code>",
328
+ "<pr>",
329
+ "<pr_status>",
330
+ "<pr_is_merged>",
331
+ "<pr_base>",
332
+ "<pr_file>",
333
+ "<pr_base_code>",
334
+ "<pr_diff>",
335
+ "<pr_diff_hunk>",
336
+ "<pr_comment>",
337
+ "<pr_event_id>",
338
+ "<pr_review>",
339
+ "<pr_review_state>",
340
+ "<pr_review_comment>",
341
+ "<pr_in_reply_to_review_id>",
342
+ "<pr_in_reply_to_comment_id>",
343
+ "<pr_diff_hunk_comment_line>",
344
+ "<NAME>",
345
+ "<EMAIL>",
346
+ "<KEY>",
347
+ "<PASSWORD>"
348
+ ],
349
+ "bos_token": "<|endoftext|>",
350
+ "clean_up_tokenization_spaces": true,
351
+ "eos_token": "<|endoftext|>",
352
+ "model_max_length": 1000000000000000019884624838656,
353
+ "pad_token": "<|endoftext|>",
354
+ "tokenizer_class": "GPT2Tokenizer",
355
+ "unk_token": "<|endoftext|>",
356
+ "vocab_size": 49152
357
+ }
checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,721 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.06427406461150345,
5
+ "eval_steps": 500,
6
+ "global_step": 1000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0006427406461150345,
13
+ "grad_norm": 0.458984375,
14
+ "learning_rate": 1e-05,
15
+ "loss": 3.0419,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.001285481292230069,
20
+ "grad_norm": 8.8125,
21
+ "learning_rate": 2e-05,
22
+ "loss": 3.0641,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.0019282219383451036,
27
+ "grad_norm": 0.62109375,
28
+ "learning_rate": 1.9999950454033063e-05,
29
+ "loss": 3.2405,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.002570962584460138,
34
+ "grad_norm": 0.5625,
35
+ "learning_rate": 1.9999801816623205e-05,
36
+ "loss": 2.8447,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.0032137032305751727,
41
+ "grad_norm": 0.60546875,
42
+ "learning_rate": 1.9999554089243305e-05,
43
+ "loss": 2.9348,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.003856443876690207,
48
+ "grad_norm": 0.69921875,
49
+ "learning_rate": 1.9999207274348143e-05,
50
+ "loss": 2.966,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.004499184522805242,
55
+ "grad_norm": 2.9375,
56
+ "learning_rate": 1.9998761375374376e-05,
57
+ "loss": 2.8849,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.005141925168920276,
62
+ "grad_norm": 0.953125,
63
+ "learning_rate": 1.9998216396740497e-05,
64
+ "loss": 2.8674,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.0057846658150353105,
69
+ "grad_norm": 0.96484375,
70
+ "learning_rate": 1.9997572343846814e-05,
71
+ "loss": 2.789,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.006427406461150345,
76
+ "grad_norm": 0.63671875,
77
+ "learning_rate": 1.9996829223075363e-05,
78
+ "loss": 2.8306,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.0070701471072653795,
83
+ "grad_norm": 0.91796875,
84
+ "learning_rate": 1.9995987041789876e-05,
85
+ "loss": 2.5481,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.007712887753380414,
90
+ "grad_norm": 0.84765625,
91
+ "learning_rate": 1.999504580833569e-05,
92
+ "loss": 2.6249,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.00835562839949545,
97
+ "grad_norm": 0.54296875,
98
+ "learning_rate": 1.9994005532039665e-05,
99
+ "loss": 2.6078,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.008998369045610483,
104
+ "grad_norm": 1.328125,
105
+ "learning_rate": 1.9992866223210105e-05,
106
+ "loss": 2.4607,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.009641109691725517,
111
+ "grad_norm": 1.0703125,
112
+ "learning_rate": 1.999162789313664e-05,
113
+ "loss": 2.3672,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.010283850337840551,
118
+ "grad_norm": 0.796875,
119
+ "learning_rate": 1.9990290554090123e-05,
120
+ "loss": 2.4135,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.010926590983955587,
125
+ "grad_norm": 1.1484375,
126
+ "learning_rate": 1.9988854219322507e-05,
127
+ "loss": 2.5179,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.011569331630070621,
132
+ "grad_norm": 0.55078125,
133
+ "learning_rate": 1.9987318903066704e-05,
134
+ "loss": 2.3391,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.012212072276185655,
139
+ "grad_norm": 1.171875,
140
+ "learning_rate": 1.9985684620536466e-05,
141
+ "loss": 2.4168,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.01285481292230069,
146
+ "grad_norm": 1.4609375,
147
+ "learning_rate": 1.9983951387926216e-05,
148
+ "loss": 2.2706,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.013497553568415725,
153
+ "grad_norm": 0.68359375,
154
+ "learning_rate": 1.998211922241088e-05,
155
+ "loss": 2.2684,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.014140294214530759,
160
+ "grad_norm": 1.1640625,
161
+ "learning_rate": 1.9980188142145755e-05,
162
+ "loss": 2.2022,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.014783034860645793,
167
+ "grad_norm": 0.52734375,
168
+ "learning_rate": 1.997815816626628e-05,
169
+ "loss": 2.2821,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.015425775506760829,
174
+ "grad_norm": 1.359375,
175
+ "learning_rate": 1.9976029314887882e-05,
176
+ "loss": 2.1055,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.016068516152875863,
181
+ "grad_norm": 0.890625,
182
+ "learning_rate": 1.9973801609105757e-05,
183
+ "loss": 2.1481,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.0167112567989909,
188
+ "grad_norm": 1.2265625,
189
+ "learning_rate": 1.9971475070994675e-05,
190
+ "loss": 2.1277,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.01735399744510593,
195
+ "grad_norm": 0.6796875,
196
+ "learning_rate": 1.9969049723608753e-05,
197
+ "loss": 2.1143,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.017996738091220967,
202
+ "grad_norm": 0.828125,
203
+ "learning_rate": 1.9966525590981228e-05,
204
+ "loss": 2.1824,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.018639478737336002,
209
+ "grad_norm": 1.6171875,
210
+ "learning_rate": 1.9963902698124212e-05,
211
+ "loss": 2.1849,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.019282219383451035,
216
+ "grad_norm": 0.96875,
217
+ "learning_rate": 1.996118107102847e-05,
218
+ "loss": 2.1996,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.01992496002956607,
223
+ "grad_norm": 1.1171875,
224
+ "learning_rate": 1.9958360736663117e-05,
225
+ "loss": 2.1914,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.020567700675681103,
230
+ "grad_norm": 0.62109375,
231
+ "learning_rate": 1.99554417229754e-05,
232
+ "loss": 2.0519,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.02121044132179614,
237
+ "grad_norm": 0.890625,
238
+ "learning_rate": 1.995242405889039e-05,
239
+ "loss": 2.0804,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.021853181967911174,
244
+ "grad_norm": 0.71875,
245
+ "learning_rate": 1.99493077743107e-05,
246
+ "loss": 2.0424,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.022495922614026206,
251
+ "grad_norm": 1.4296875,
252
+ "learning_rate": 1.99460929001162e-05,
253
+ "loss": 2.1151,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.023138663260141242,
258
+ "grad_norm": 0.7421875,
259
+ "learning_rate": 1.9942779468163696e-05,
260
+ "loss": 1.8499,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.023781403906256278,
265
+ "grad_norm": 0.8671875,
266
+ "learning_rate": 1.9939367511286635e-05,
267
+ "loss": 2.1271,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.02442414455237131,
272
+ "grad_norm": 0.75,
273
+ "learning_rate": 1.993585706329475e-05,
274
+ "loss": 2.0739,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.025066885198486346,
279
+ "grad_norm": 1.3671875,
280
+ "learning_rate": 1.9932248158973746e-05,
281
+ "loss": 2.0379,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.02570962584460138,
286
+ "grad_norm": 0.78515625,
287
+ "learning_rate": 1.992854083408496e-05,
288
+ "loss": 1.9566,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.026352366490716414,
293
+ "grad_norm": 0.859375,
294
+ "learning_rate": 1.992473512536499e-05,
295
+ "loss": 2.0377,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.02699510713683145,
300
+ "grad_norm": 0.81640625,
301
+ "learning_rate": 1.992083107052534e-05,
302
+ "loss": 1.9839,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.027637847782946486,
307
+ "grad_norm": 0.80859375,
308
+ "learning_rate": 1.9916828708252046e-05,
309
+ "loss": 1.9477,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.028280588429061518,
314
+ "grad_norm": 0.703125,
315
+ "learning_rate": 1.9912728078205285e-05,
316
+ "loss": 2.0033,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.028923329075176554,
321
+ "grad_norm": 1.03125,
322
+ "learning_rate": 1.9908529221018994e-05,
323
+ "loss": 1.9196,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.029566069721291586,
328
+ "grad_norm": 1.0546875,
329
+ "learning_rate": 1.9904232178300465e-05,
330
+ "loss": 1.9712,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.03020881036740662,
335
+ "grad_norm": 1.1875,
336
+ "learning_rate": 1.9899836992629922e-05,
337
+ "loss": 1.9251,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.030851551013521657,
342
+ "grad_norm": 0.71484375,
343
+ "learning_rate": 1.989534370756011e-05,
344
+ "loss": 1.9695,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.03149429165963669,
349
+ "grad_norm": 0.9765625,
350
+ "learning_rate": 1.989075236761586e-05,
351
+ "loss": 1.9208,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.032137032305751725,
356
+ "grad_norm": 0.74609375,
357
+ "learning_rate": 1.988606301829365e-05,
358
+ "loss": 1.9474,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.03277977295186676,
363
+ "grad_norm": 0.6796875,
364
+ "learning_rate": 1.9881275706061146e-05,
365
+ "loss": 1.8636,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.0334225135979818,
370
+ "grad_norm": 0.9453125,
371
+ "learning_rate": 1.987639047835675e-05,
372
+ "loss": 1.9595,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.03406525424409683,
377
+ "grad_norm": 0.9921875,
378
+ "learning_rate": 1.987140738358913e-05,
379
+ "loss": 1.8648,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.03470799489021186,
384
+ "grad_norm": 1.453125,
385
+ "learning_rate": 1.9866326471136738e-05,
386
+ "loss": 1.9641,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.0353507355363269,
391
+ "grad_norm": 1.1328125,
392
+ "learning_rate": 1.986114779134731e-05,
393
+ "loss": 1.9649,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.03599347618244193,
398
+ "grad_norm": 0.921875,
399
+ "learning_rate": 1.9855871395537395e-05,
400
+ "loss": 1.9086,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.036636216828556965,
405
+ "grad_norm": 1.6875,
406
+ "learning_rate": 1.9850497335991815e-05,
407
+ "loss": 1.8802,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.037278957474672005,
412
+ "grad_norm": 0.78125,
413
+ "learning_rate": 1.984502566596317e-05,
414
+ "loss": 1.8694,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.03792169812078704,
419
+ "grad_norm": 0.984375,
420
+ "learning_rate": 1.9839456439671288e-05,
421
+ "loss": 1.9474,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.03856443876690207,
426
+ "grad_norm": 0.87890625,
427
+ "learning_rate": 1.9833789712302714e-05,
428
+ "loss": 1.8633,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.03920717941301711,
433
+ "grad_norm": 0.8515625,
434
+ "learning_rate": 1.9828025540010144e-05,
435
+ "loss": 1.9034,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.03984992005913214,
440
+ "grad_norm": 0.77734375,
441
+ "learning_rate": 1.9822163979911878e-05,
442
+ "loss": 1.9021,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.04049266070524717,
447
+ "grad_norm": 1.2421875,
448
+ "learning_rate": 1.981620509009125e-05,
449
+ "loss": 1.8945,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.041135401351362205,
454
+ "grad_norm": 0.87109375,
455
+ "learning_rate": 1.9810148929596047e-05,
456
+ "loss": 1.9007,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.041778141997477244,
461
+ "grad_norm": 0.85546875,
462
+ "learning_rate": 1.9803995558437938e-05,
463
+ "loss": 1.8548,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.04242088264359228,
468
+ "grad_norm": 0.87890625,
469
+ "learning_rate": 1.9797745037591866e-05,
470
+ "loss": 1.952,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.04306362328970731,
475
+ "grad_norm": 1.265625,
476
+ "learning_rate": 1.979139742899545e-05,
477
+ "loss": 1.8855,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.04370636393582235,
482
+ "grad_norm": 0.7734375,
483
+ "learning_rate": 1.9784952795548374e-05,
484
+ "loss": 1.8523,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.04434910458193738,
489
+ "grad_norm": 0.99609375,
490
+ "learning_rate": 1.9778411201111755e-05,
491
+ "loss": 1.808,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.04499184522805241,
496
+ "grad_norm": 1.4296875,
497
+ "learning_rate": 1.9771772710507516e-05,
498
+ "loss": 1.8894,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.04563458587416745,
503
+ "grad_norm": 1.0390625,
504
+ "learning_rate": 1.976503738951775e-05,
505
+ "loss": 1.8869,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.046277326520282484,
510
+ "grad_norm": 1.1640625,
511
+ "learning_rate": 1.9758205304884048e-05,
512
+ "loss": 1.9048,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.04692006716639752,
517
+ "grad_norm": 1.015625,
518
+ "learning_rate": 1.9751276524306865e-05,
519
+ "loss": 1.848,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.047562807812512556,
524
+ "grad_norm": 1.0546875,
525
+ "learning_rate": 1.974425111644482e-05,
526
+ "loss": 1.8434,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.04820554845862759,
531
+ "grad_norm": 0.8828125,
532
+ "learning_rate": 1.9737129150914045e-05,
533
+ "loss": 1.9363,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.04884828910474262,
538
+ "grad_norm": 1.109375,
539
+ "learning_rate": 1.972991069828747e-05,
540
+ "loss": 1.8212,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.04949102975085766,
545
+ "grad_norm": 1.0390625,
546
+ "learning_rate": 1.9722595830094138e-05,
547
+ "loss": 1.8591,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.05013377039697269,
552
+ "grad_norm": 1.0,
553
+ "learning_rate": 1.9715184618818493e-05,
554
+ "loss": 1.9277,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.050776511043087724,
559
+ "grad_norm": 0.921875,
560
+ "learning_rate": 1.9707677137899662e-05,
561
+ "loss": 1.8552,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.05141925168920276,
566
+ "grad_norm": 0.89453125,
567
+ "learning_rate": 1.9700073461730725e-05,
568
+ "loss": 1.8265,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.052061992335317796,
573
+ "grad_norm": 1.3125,
574
+ "learning_rate": 1.969237366565798e-05,
575
+ "loss": 1.7932,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.05270473298143283,
580
+ "grad_norm": 0.76171875,
581
+ "learning_rate": 1.9684577825980192e-05,
582
+ "loss": 1.8122,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.05334747362754787,
587
+ "grad_norm": 0.9296875,
588
+ "learning_rate": 1.9676686019947852e-05,
589
+ "loss": 1.8671,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.0539902142736629,
594
+ "grad_norm": 0.9765625,
595
+ "learning_rate": 1.9668698325762378e-05,
596
+ "loss": 1.884,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.05463295491977793,
601
+ "grad_norm": 1.0234375,
602
+ "learning_rate": 1.9660614822575394e-05,
603
+ "loss": 1.9472,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.05527569556589297,
608
+ "grad_norm": 1.8984375,
609
+ "learning_rate": 1.9652435590487878e-05,
610
+ "loss": 1.7799,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.055918436212008,
615
+ "grad_norm": 0.8125,
616
+ "learning_rate": 1.964416071054944e-05,
617
+ "loss": 1.8548,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.056561176858123036,
622
+ "grad_norm": 1.15625,
623
+ "learning_rate": 1.963579026475745e-05,
624
+ "loss": 1.8213,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.05720391750423807,
629
+ "grad_norm": 1.0078125,
630
+ "learning_rate": 1.962732433605629e-05,
631
+ "loss": 1.8675,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.05784665815035311,
636
+ "grad_norm": 1.0625,
637
+ "learning_rate": 1.961876300833647e-05,
638
+ "loss": 1.8382,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.05848939879646814,
643
+ "grad_norm": 1.3359375,
644
+ "learning_rate": 1.9610106366433846e-05,
645
+ "loss": 1.8516,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.05913213944258317,
650
+ "grad_norm": 1.1796875,
651
+ "learning_rate": 1.9601354496128765e-05,
652
+ "loss": 1.8137,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.05977488008869821,
657
+ "grad_norm": 0.8046875,
658
+ "learning_rate": 1.9592507484145193e-05,
659
+ "loss": 1.9144,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.06041762073481324,
664
+ "grad_norm": 0.796875,
665
+ "learning_rate": 1.9583565418149887e-05,
666
+ "loss": 1.8284,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.061060361380928276,
671
+ "grad_norm": 0.90234375,
672
+ "learning_rate": 1.9574528386751507e-05,
673
+ "loss": 1.7851,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.061703102027043315,
678
+ "grad_norm": 0.8828125,
679
+ "learning_rate": 1.9565396479499744e-05,
680
+ "loss": 1.769,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.06234584267315835,
685
+ "grad_norm": 0.921875,
686
+ "learning_rate": 1.9556169786884436e-05,
687
+ "loss": 1.8202,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.06298858331927339,
692
+ "grad_norm": 1.015625,
693
+ "learning_rate": 1.9546848400334658e-05,
694
+ "loss": 1.8815,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.06363132396538841,
699
+ "grad_norm": 0.82421875,
700
+ "learning_rate": 1.953743241221784e-05,
701
+ "loss": 1.866,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.06427406461150345,
706
+ "grad_norm": 0.87109375,
707
+ "learning_rate": 1.9527921915838827e-05,
708
+ "loss": 1.8496,
709
+ "step": 1000
710
+ }
711
+ ],
712
+ "logging_steps": 10,
713
+ "max_steps": 10000,
714
+ "num_input_tokens_seen": 0,
715
+ "num_train_epochs": 1,
716
+ "save_steps": 500,
717
+ "total_flos": 3.83552809116631e+16,
718
+ "train_batch_size": 1,
719
+ "trial_name": null,
720
+ "trial_params": null
721
+ }
checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30a2b8c75f6c8efb010f466f95c3a7d3b4f1b9fdafb2292a6772325b7ecc75b1
3
+ size 4984
checkpoint-1000/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10000/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: bigcode/starcoder2-3b
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-10000/adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "bigcode/starcoder2-3b",
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": 8,
13
+ "lora_dropout": 0.0,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 8,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "gate_proj",
23
+ "o_proj",
24
+ "up_proj",
25
+ "q_proj",
26
+ "k_proj",
27
+ "v_proj",
28
+ "down_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_rslora": false
32
+ }
checkpoint-10000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7272a59fba8ed15df76a0732b639f50de257af5846cb342d51a7fb6c0707d9e2
3
+ size 9124880
checkpoint-10000/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4059f06a452edb0f84e5015d1157eacfcc26fdb37cd2f9dc81c4ccb6356f745
3
+ size 10077242
checkpoint-10000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21bf0db90c5ac592e5c6b27e4de7cfd0343d8d8a5e59768c30040a09ec0a4dc4
3
+ size 14512
checkpoint-10000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2765e2795e671a26bf710c2e184d426b810f3c40e174290f3c96d6d79f4ca36
3
+ size 14512
checkpoint-10000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:992f92f28f32913b10be7c822cdebf0abc4183b682b29981995e05a2a28bcd4d
3
+ size 1064
checkpoint-10000/special_tokens_map.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|endoftext|>",
4
+ "<fim_prefix>",
5
+ "<fim_middle>",
6
+ "<fim_suffix>",
7
+ "<fim_pad>",
8
+ "<repo_name>",
9
+ "<file_sep>",
10
+ "<issue_start>",
11
+ "<issue_comment>",
12
+ "<issue_closed>",
13
+ "<jupyter_start>",
14
+ "<jupyter_text>",
15
+ "<jupyter_code>",
16
+ "<jupyter_output>",
17
+ "<jupyter_script>",
18
+ "<empty_output>",
19
+ "<code_to_intermediate>",
20
+ "<intermediate_to_code>",
21
+ "<pr>",
22
+ "<pr_status>",
23
+ "<pr_is_merged>",
24
+ "<pr_base>",
25
+ "<pr_file>",
26
+ "<pr_base_code>",
27
+ "<pr_diff>",
28
+ "<pr_diff_hunk>",
29
+ "<pr_comment>",
30
+ "<pr_event_id>",
31
+ "<pr_review>",
32
+ "<pr_review_state>",
33
+ "<pr_review_comment>",
34
+ "<pr_in_reply_to_review_id>",
35
+ "<pr_in_reply_to_comment_id>",
36
+ "<pr_diff_hunk_comment_line>",
37
+ "<NAME>",
38
+ "<EMAIL>",
39
+ "<KEY>",
40
+ "<PASSWORD>"
41
+ ],
42
+ "bos_token": {
43
+ "content": "<|endoftext|>",
44
+ "lstrip": false,
45
+ "normalized": false,
46
+ "rstrip": false,
47
+ "single_word": false
48
+ },
49
+ "eos_token": {
50
+ "content": "<|endoftext|>",
51
+ "lstrip": false,
52
+ "normalized": false,
53
+ "rstrip": false,
54
+ "single_word": false
55
+ },
56
+ "pad_token": "<|endoftext|>",
57
+ "unk_token": {
58
+ "content": "<|endoftext|>",
59
+ "lstrip": false,
60
+ "normalized": false,
61
+ "rstrip": false,
62
+ "single_word": false
63
+ }
64
+ }
checkpoint-10000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10000/tokenizer_config.json ADDED
@@ -0,0 +1,357 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<fim_prefix>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<fim_middle>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<fim_suffix>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<fim_pad>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<repo_name>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<file_sep>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<issue_start>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_comment>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_closed>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<jupyter_start>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_text>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_code>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_output>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_script>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<empty_output>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<code_to_intermediate>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ },
140
+ "17": {
141
+ "content": "<intermediate_to_code>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": true
147
+ },
148
+ "18": {
149
+ "content": "<pr>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": true
155
+ },
156
+ "19": {
157
+ "content": "<pr_status>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": true
163
+ },
164
+ "20": {
165
+ "content": "<pr_is_merged>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": true
171
+ },
172
+ "21": {
173
+ "content": "<pr_base>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": true
179
+ },
180
+ "22": {
181
+ "content": "<pr_file>",
182
+ "lstrip": false,
183
+ "normalized": false,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": true
187
+ },
188
+ "23": {
189
+ "content": "<pr_base_code>",
190
+ "lstrip": false,
191
+ "normalized": false,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": true
195
+ },
196
+ "24": {
197
+ "content": "<pr_diff>",
198
+ "lstrip": false,
199
+ "normalized": false,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": true
203
+ },
204
+ "25": {
205
+ "content": "<pr_diff_hunk>",
206
+ "lstrip": false,
207
+ "normalized": false,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": true
211
+ },
212
+ "26": {
213
+ "content": "<pr_comment>",
214
+ "lstrip": false,
215
+ "normalized": false,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": true
219
+ },
220
+ "27": {
221
+ "content": "<pr_event_id>",
222
+ "lstrip": false,
223
+ "normalized": false,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "28": {
229
+ "content": "<pr_review>",
230
+ "lstrip": false,
231
+ "normalized": false,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "29": {
237
+ "content": "<pr_review_state>",
238
+ "lstrip": false,
239
+ "normalized": false,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "30": {
245
+ "content": "<pr_review_comment>",
246
+ "lstrip": false,
247
+ "normalized": false,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": true
251
+ },
252
+ "31": {
253
+ "content": "<pr_in_reply_to_review_id>",
254
+ "lstrip": false,
255
+ "normalized": false,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": true
259
+ },
260
+ "32": {
261
+ "content": "<pr_in_reply_to_comment_id>",
262
+ "lstrip": false,
263
+ "normalized": false,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": true
267
+ },
268
+ "33": {
269
+ "content": "<pr_diff_hunk_comment_line>",
270
+ "lstrip": false,
271
+ "normalized": false,
272
+ "rstrip": false,
273
+ "single_word": false,
274
+ "special": true
275
+ },
276
+ "34": {
277
+ "content": "<NAME>",
278
+ "lstrip": false,
279
+ "normalized": false,
280
+ "rstrip": false,
281
+ "single_word": false,
282
+ "special": true
283
+ },
284
+ "35": {
285
+ "content": "<EMAIL>",
286
+ "lstrip": false,
287
+ "normalized": false,
288
+ "rstrip": false,
289
+ "single_word": false,
290
+ "special": true
291
+ },
292
+ "36": {
293
+ "content": "<KEY>",
294
+ "lstrip": false,
295
+ "normalized": false,
296
+ "rstrip": false,
297
+ "single_word": false,
298
+ "special": true
299
+ },
300
+ "37": {
301
+ "content": "<PASSWORD>",
302
+ "lstrip": false,
303
+ "normalized": false,
304
+ "rstrip": false,
305
+ "single_word": false,
306
+ "special": true
307
+ }
308
+ },
309
+ "additional_special_tokens": [
310
+ "<|endoftext|>",
311
+ "<fim_prefix>",
312
+ "<fim_middle>",
313
+ "<fim_suffix>",
314
+ "<fim_pad>",
315
+ "<repo_name>",
316
+ "<file_sep>",
317
+ "<issue_start>",
318
+ "<issue_comment>",
319
+ "<issue_closed>",
320
+ "<jupyter_start>",
321
+ "<jupyter_text>",
322
+ "<jupyter_code>",
323
+ "<jupyter_output>",
324
+ "<jupyter_script>",
325
+ "<empty_output>",
326
+ "<code_to_intermediate>",
327
+ "<intermediate_to_code>",
328
+ "<pr>",
329
+ "<pr_status>",
330
+ "<pr_is_merged>",
331
+ "<pr_base>",
332
+ "<pr_file>",
333
+ "<pr_base_code>",
334
+ "<pr_diff>",
335
+ "<pr_diff_hunk>",
336
+ "<pr_comment>",
337
+ "<pr_event_id>",
338
+ "<pr_review>",
339
+ "<pr_review_state>",
340
+ "<pr_review_comment>",
341
+ "<pr_in_reply_to_review_id>",
342
+ "<pr_in_reply_to_comment_id>",
343
+ "<pr_diff_hunk_comment_line>",
344
+ "<NAME>",
345
+ "<EMAIL>",
346
+ "<KEY>",
347
+ "<PASSWORD>"
348
+ ],
349
+ "bos_token": "<|endoftext|>",
350
+ "clean_up_tokenization_spaces": true,
351
+ "eos_token": "<|endoftext|>",
352
+ "model_max_length": 1000000000000000019884624838656,
353
+ "pad_token": "<|endoftext|>",
354
+ "tokenizer_class": "GPT2Tokenizer",
355
+ "unk_token": "<|endoftext|>",
356
+ "vocab_size": 49152
357
+ }
checkpoint-10000/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30a2b8c75f6c8efb010f466f95c3a7d3b4f1b9fdafb2292a6772325b7ecc75b1
3
+ size 4984
checkpoint-10000/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1500/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: bigcode/starcoder2-3b
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-1500/adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "bigcode/starcoder2-3b",
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": 8,
13
+ "lora_dropout": 0.0,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 8,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "gate_proj",
23
+ "o_proj",
24
+ "up_proj",
25
+ "q_proj",
26
+ "k_proj",
27
+ "v_proj",
28
+ "down_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_rslora": false
32
+ }
checkpoint-1500/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:131a5c47eec787ff5b43dd567060b60d1f2f9d465e621dc7132a30ed2c5d85e6
3
+ size 9124880
checkpoint-1500/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f23d52b4c525628192e3e6ce4e32352d559ac2a6b43fbdd1f9f3da2f7a8475e
3
+ size 10077242
checkpoint-1500/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dabab48864ad67b7aa1cdfba478ef3831a0b98e9d88537917400ab991ad62a6c
3
+ size 14512
checkpoint-1500/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7fccb572e31147723be2909b8a0878f53ffe637d1fc03ab1ef7cb95ca597d55
3
+ size 14512
checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82778cdb9fc9e6e26bf1b79d23cc564cd7d26ca397f477222ddaab5776ba3be1
3
+ size 1064
checkpoint-1500/special_tokens_map.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|endoftext|>",
4
+ "<fim_prefix>",
5
+ "<fim_middle>",
6
+ "<fim_suffix>",
7
+ "<fim_pad>",
8
+ "<repo_name>",
9
+ "<file_sep>",
10
+ "<issue_start>",
11
+ "<issue_comment>",
12
+ "<issue_closed>",
13
+ "<jupyter_start>",
14
+ "<jupyter_text>",
15
+ "<jupyter_code>",
16
+ "<jupyter_output>",
17
+ "<jupyter_script>",
18
+ "<empty_output>",
19
+ "<code_to_intermediate>",
20
+ "<intermediate_to_code>",
21
+ "<pr>",
22
+ "<pr_status>",
23
+ "<pr_is_merged>",
24
+ "<pr_base>",
25
+ "<pr_file>",
26
+ "<pr_base_code>",
27
+ "<pr_diff>",
28
+ "<pr_diff_hunk>",
29
+ "<pr_comment>",
30
+ "<pr_event_id>",
31
+ "<pr_review>",
32
+ "<pr_review_state>",
33
+ "<pr_review_comment>",
34
+ "<pr_in_reply_to_review_id>",
35
+ "<pr_in_reply_to_comment_id>",
36
+ "<pr_diff_hunk_comment_line>",
37
+ "<NAME>",
38
+ "<EMAIL>",
39
+ "<KEY>",
40
+ "<PASSWORD>"
41
+ ],
42
+ "bos_token": {
43
+ "content": "<|endoftext|>",
44
+ "lstrip": false,
45
+ "normalized": false,
46
+ "rstrip": false,
47
+ "single_word": false
48
+ },
49
+ "eos_token": {
50
+ "content": "<|endoftext|>",
51
+ "lstrip": false,
52
+ "normalized": false,
53
+ "rstrip": false,
54
+ "single_word": false
55
+ },
56
+ "pad_token": "<|endoftext|>",
57
+ "unk_token": {
58
+ "content": "<|endoftext|>",
59
+ "lstrip": false,
60
+ "normalized": false,
61
+ "rstrip": false,
62
+ "single_word": false
63
+ }
64
+ }
checkpoint-1500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1500/tokenizer_config.json ADDED
@@ -0,0 +1,357 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<fim_prefix>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<fim_middle>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<fim_suffix>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<fim_pad>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<repo_name>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<file_sep>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<issue_start>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_comment>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_closed>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<jupyter_start>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_text>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_code>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_output>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_script>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<empty_output>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<code_to_intermediate>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ },
140
+ "17": {
141
+ "content": "<intermediate_to_code>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": true
147
+ },
148
+ "18": {
149
+ "content": "<pr>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": true
155
+ },
156
+ "19": {
157
+ "content": "<pr_status>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": true
163
+ },
164
+ "20": {
165
+ "content": "<pr_is_merged>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": true
171
+ },
172
+ "21": {
173
+ "content": "<pr_base>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": true
179
+ },
180
+ "22": {
181
+ "content": "<pr_file>",
182
+ "lstrip": false,
183
+ "normalized": false,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": true
187
+ },
188
+ "23": {
189
+ "content": "<pr_base_code>",
190
+ "lstrip": false,
191
+ "normalized": false,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": true
195
+ },
196
+ "24": {
197
+ "content": "<pr_diff>",
198
+ "lstrip": false,
199
+ "normalized": false,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": true
203
+ },
204
+ "25": {
205
+ "content": "<pr_diff_hunk>",
206
+ "lstrip": false,
207
+ "normalized": false,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": true
211
+ },
212
+ "26": {
213
+ "content": "<pr_comment>",
214
+ "lstrip": false,
215
+ "normalized": false,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": true
219
+ },
220
+ "27": {
221
+ "content": "<pr_event_id>",
222
+ "lstrip": false,
223
+ "normalized": false,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "28": {
229
+ "content": "<pr_review>",
230
+ "lstrip": false,
231
+ "normalized": false,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "29": {
237
+ "content": "<pr_review_state>",
238
+ "lstrip": false,
239
+ "normalized": false,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "30": {
245
+ "content": "<pr_review_comment>",
246
+ "lstrip": false,
247
+ "normalized": false,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": true
251
+ },
252
+ "31": {
253
+ "content": "<pr_in_reply_to_review_id>",
254
+ "lstrip": false,
255
+ "normalized": false,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": true
259
+ },
260
+ "32": {
261
+ "content": "<pr_in_reply_to_comment_id>",
262
+ "lstrip": false,
263
+ "normalized": false,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": true
267
+ },
268
+ "33": {
269
+ "content": "<pr_diff_hunk_comment_line>",
270
+ "lstrip": false,
271
+ "normalized": false,
272
+ "rstrip": false,
273
+ "single_word": false,
274
+ "special": true
275
+ },
276
+ "34": {
277
+ "content": "<NAME>",
278
+ "lstrip": false,
279
+ "normalized": false,
280
+ "rstrip": false,
281
+ "single_word": false,
282
+ "special": true
283
+ },
284
+ "35": {
285
+ "content": "<EMAIL>",
286
+ "lstrip": false,
287
+ "normalized": false,
288
+ "rstrip": false,
289
+ "single_word": false,
290
+ "special": true
291
+ },
292
+ "36": {
293
+ "content": "<KEY>",
294
+ "lstrip": false,
295
+ "normalized": false,
296
+ "rstrip": false,
297
+ "single_word": false,
298
+ "special": true
299
+ },
300
+ "37": {
301
+ "content": "<PASSWORD>",
302
+ "lstrip": false,
303
+ "normalized": false,
304
+ "rstrip": false,
305
+ "single_word": false,
306
+ "special": true
307
+ }
308
+ },
309
+ "additional_special_tokens": [
310
+ "<|endoftext|>",
311
+ "<fim_prefix>",
312
+ "<fim_middle>",
313
+ "<fim_suffix>",
314
+ "<fim_pad>",
315
+ "<repo_name>",
316
+ "<file_sep>",
317
+ "<issue_start>",
318
+ "<issue_comment>",
319
+ "<issue_closed>",
320
+ "<jupyter_start>",
321
+ "<jupyter_text>",
322
+ "<jupyter_code>",
323
+ "<jupyter_output>",
324
+ "<jupyter_script>",
325
+ "<empty_output>",
326
+ "<code_to_intermediate>",
327
+ "<intermediate_to_code>",
328
+ "<pr>",
329
+ "<pr_status>",
330
+ "<pr_is_merged>",
331
+ "<pr_base>",
332
+ "<pr_file>",
333
+ "<pr_base_code>",
334
+ "<pr_diff>",
335
+ "<pr_diff_hunk>",
336
+ "<pr_comment>",
337
+ "<pr_event_id>",
338
+ "<pr_review>",
339
+ "<pr_review_state>",
340
+ "<pr_review_comment>",
341
+ "<pr_in_reply_to_review_id>",
342
+ "<pr_in_reply_to_comment_id>",
343
+ "<pr_diff_hunk_comment_line>",
344
+ "<NAME>",
345
+ "<EMAIL>",
346
+ "<KEY>",
347
+ "<PASSWORD>"
348
+ ],
349
+ "bos_token": "<|endoftext|>",
350
+ "clean_up_tokenization_spaces": true,
351
+ "eos_token": "<|endoftext|>",
352
+ "model_max_length": 1000000000000000019884624838656,
353
+ "pad_token": "<|endoftext|>",
354
+ "tokenizer_class": "GPT2Tokenizer",
355
+ "unk_token": "<|endoftext|>",
356
+ "vocab_size": 49152
357
+ }
checkpoint-1500/trainer_state.json ADDED
@@ -0,0 +1,1071 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.09641109691725518,
5
+ "eval_steps": 500,
6
+ "global_step": 1500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0006427406461150345,
13
+ "grad_norm": 0.458984375,
14
+ "learning_rate": 1e-05,
15
+ "loss": 3.0419,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.001285481292230069,
20
+ "grad_norm": 8.8125,
21
+ "learning_rate": 2e-05,
22
+ "loss": 3.0641,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.0019282219383451036,
27
+ "grad_norm": 0.62109375,
28
+ "learning_rate": 1.9999950454033063e-05,
29
+ "loss": 3.2405,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.002570962584460138,
34
+ "grad_norm": 0.5625,
35
+ "learning_rate": 1.9999801816623205e-05,
36
+ "loss": 2.8447,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.0032137032305751727,
41
+ "grad_norm": 0.60546875,
42
+ "learning_rate": 1.9999554089243305e-05,
43
+ "loss": 2.9348,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.003856443876690207,
48
+ "grad_norm": 0.69921875,
49
+ "learning_rate": 1.9999207274348143e-05,
50
+ "loss": 2.966,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.004499184522805242,
55
+ "grad_norm": 2.9375,
56
+ "learning_rate": 1.9998761375374376e-05,
57
+ "loss": 2.8849,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.005141925168920276,
62
+ "grad_norm": 0.953125,
63
+ "learning_rate": 1.9998216396740497e-05,
64
+ "loss": 2.8674,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.0057846658150353105,
69
+ "grad_norm": 0.96484375,
70
+ "learning_rate": 1.9997572343846814e-05,
71
+ "loss": 2.789,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.006427406461150345,
76
+ "grad_norm": 0.63671875,
77
+ "learning_rate": 1.9996829223075363e-05,
78
+ "loss": 2.8306,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.0070701471072653795,
83
+ "grad_norm": 0.91796875,
84
+ "learning_rate": 1.9995987041789876e-05,
85
+ "loss": 2.5481,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.007712887753380414,
90
+ "grad_norm": 0.84765625,
91
+ "learning_rate": 1.999504580833569e-05,
92
+ "loss": 2.6249,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.00835562839949545,
97
+ "grad_norm": 0.54296875,
98
+ "learning_rate": 1.9994005532039665e-05,
99
+ "loss": 2.6078,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.008998369045610483,
104
+ "grad_norm": 1.328125,
105
+ "learning_rate": 1.9992866223210105e-05,
106
+ "loss": 2.4607,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.009641109691725517,
111
+ "grad_norm": 1.0703125,
112
+ "learning_rate": 1.999162789313664e-05,
113
+ "loss": 2.3672,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.010283850337840551,
118
+ "grad_norm": 0.796875,
119
+ "learning_rate": 1.9990290554090123e-05,
120
+ "loss": 2.4135,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.010926590983955587,
125
+ "grad_norm": 1.1484375,
126
+ "learning_rate": 1.9988854219322507e-05,
127
+ "loss": 2.5179,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.011569331630070621,
132
+ "grad_norm": 0.55078125,
133
+ "learning_rate": 1.9987318903066704e-05,
134
+ "loss": 2.3391,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.012212072276185655,
139
+ "grad_norm": 1.171875,
140
+ "learning_rate": 1.9985684620536466e-05,
141
+ "loss": 2.4168,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.01285481292230069,
146
+ "grad_norm": 1.4609375,
147
+ "learning_rate": 1.9983951387926216e-05,
148
+ "loss": 2.2706,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.013497553568415725,
153
+ "grad_norm": 0.68359375,
154
+ "learning_rate": 1.998211922241088e-05,
155
+ "loss": 2.2684,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.014140294214530759,
160
+ "grad_norm": 1.1640625,
161
+ "learning_rate": 1.9980188142145755e-05,
162
+ "loss": 2.2022,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.014783034860645793,
167
+ "grad_norm": 0.52734375,
168
+ "learning_rate": 1.997815816626628e-05,
169
+ "loss": 2.2821,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.015425775506760829,
174
+ "grad_norm": 1.359375,
175
+ "learning_rate": 1.9976029314887882e-05,
176
+ "loss": 2.1055,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.016068516152875863,
181
+ "grad_norm": 0.890625,
182
+ "learning_rate": 1.9973801609105757e-05,
183
+ "loss": 2.1481,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.0167112567989909,
188
+ "grad_norm": 1.2265625,
189
+ "learning_rate": 1.9971475070994675e-05,
190
+ "loss": 2.1277,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.01735399744510593,
195
+ "grad_norm": 0.6796875,
196
+ "learning_rate": 1.9969049723608753e-05,
197
+ "loss": 2.1143,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.017996738091220967,
202
+ "grad_norm": 0.828125,
203
+ "learning_rate": 1.9966525590981228e-05,
204
+ "loss": 2.1824,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.018639478737336002,
209
+ "grad_norm": 1.6171875,
210
+ "learning_rate": 1.9963902698124212e-05,
211
+ "loss": 2.1849,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.019282219383451035,
216
+ "grad_norm": 0.96875,
217
+ "learning_rate": 1.996118107102847e-05,
218
+ "loss": 2.1996,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.01992496002956607,
223
+ "grad_norm": 1.1171875,
224
+ "learning_rate": 1.9958360736663117e-05,
225
+ "loss": 2.1914,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.020567700675681103,
230
+ "grad_norm": 0.62109375,
231
+ "learning_rate": 1.99554417229754e-05,
232
+ "loss": 2.0519,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.02121044132179614,
237
+ "grad_norm": 0.890625,
238
+ "learning_rate": 1.995242405889039e-05,
239
+ "loss": 2.0804,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.021853181967911174,
244
+ "grad_norm": 0.71875,
245
+ "learning_rate": 1.99493077743107e-05,
246
+ "loss": 2.0424,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.022495922614026206,
251
+ "grad_norm": 1.4296875,
252
+ "learning_rate": 1.99460929001162e-05,
253
+ "loss": 2.1151,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.023138663260141242,
258
+ "grad_norm": 0.7421875,
259
+ "learning_rate": 1.9942779468163696e-05,
260
+ "loss": 1.8499,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.023781403906256278,
265
+ "grad_norm": 0.8671875,
266
+ "learning_rate": 1.9939367511286635e-05,
267
+ "loss": 2.1271,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.02442414455237131,
272
+ "grad_norm": 0.75,
273
+ "learning_rate": 1.993585706329475e-05,
274
+ "loss": 2.0739,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.025066885198486346,
279
+ "grad_norm": 1.3671875,
280
+ "learning_rate": 1.9932248158973746e-05,
281
+ "loss": 2.0379,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.02570962584460138,
286
+ "grad_norm": 0.78515625,
287
+ "learning_rate": 1.992854083408496e-05,
288
+ "loss": 1.9566,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.026352366490716414,
293
+ "grad_norm": 0.859375,
294
+ "learning_rate": 1.992473512536499e-05,
295
+ "loss": 2.0377,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.02699510713683145,
300
+ "grad_norm": 0.81640625,
301
+ "learning_rate": 1.992083107052534e-05,
302
+ "loss": 1.9839,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.027637847782946486,
307
+ "grad_norm": 0.80859375,
308
+ "learning_rate": 1.9916828708252046e-05,
309
+ "loss": 1.9477,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.028280588429061518,
314
+ "grad_norm": 0.703125,
315
+ "learning_rate": 1.9912728078205285e-05,
316
+ "loss": 2.0033,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.028923329075176554,
321
+ "grad_norm": 1.03125,
322
+ "learning_rate": 1.9908529221018994e-05,
323
+ "loss": 1.9196,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.029566069721291586,
328
+ "grad_norm": 1.0546875,
329
+ "learning_rate": 1.9904232178300465e-05,
330
+ "loss": 1.9712,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.03020881036740662,
335
+ "grad_norm": 1.1875,
336
+ "learning_rate": 1.9899836992629922e-05,
337
+ "loss": 1.9251,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.030851551013521657,
342
+ "grad_norm": 0.71484375,
343
+ "learning_rate": 1.989534370756011e-05,
344
+ "loss": 1.9695,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.03149429165963669,
349
+ "grad_norm": 0.9765625,
350
+ "learning_rate": 1.989075236761586e-05,
351
+ "loss": 1.9208,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.032137032305751725,
356
+ "grad_norm": 0.74609375,
357
+ "learning_rate": 1.988606301829365e-05,
358
+ "loss": 1.9474,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.03277977295186676,
363
+ "grad_norm": 0.6796875,
364
+ "learning_rate": 1.9881275706061146e-05,
365
+ "loss": 1.8636,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.0334225135979818,
370
+ "grad_norm": 0.9453125,
371
+ "learning_rate": 1.987639047835675e-05,
372
+ "loss": 1.9595,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.03406525424409683,
377
+ "grad_norm": 0.9921875,
378
+ "learning_rate": 1.987140738358913e-05,
379
+ "loss": 1.8648,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.03470799489021186,
384
+ "grad_norm": 1.453125,
385
+ "learning_rate": 1.9866326471136738e-05,
386
+ "loss": 1.9641,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.0353507355363269,
391
+ "grad_norm": 1.1328125,
392
+ "learning_rate": 1.986114779134731e-05,
393
+ "loss": 1.9649,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.03599347618244193,
398
+ "grad_norm": 0.921875,
399
+ "learning_rate": 1.9855871395537395e-05,
400
+ "loss": 1.9086,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.036636216828556965,
405
+ "grad_norm": 1.6875,
406
+ "learning_rate": 1.9850497335991815e-05,
407
+ "loss": 1.8802,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.037278957474672005,
412
+ "grad_norm": 0.78125,
413
+ "learning_rate": 1.984502566596317e-05,
414
+ "loss": 1.8694,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.03792169812078704,
419
+ "grad_norm": 0.984375,
420
+ "learning_rate": 1.9839456439671288e-05,
421
+ "loss": 1.9474,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.03856443876690207,
426
+ "grad_norm": 0.87890625,
427
+ "learning_rate": 1.9833789712302714e-05,
428
+ "loss": 1.8633,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.03920717941301711,
433
+ "grad_norm": 0.8515625,
434
+ "learning_rate": 1.9828025540010144e-05,
435
+ "loss": 1.9034,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.03984992005913214,
440
+ "grad_norm": 0.77734375,
441
+ "learning_rate": 1.9822163979911878e-05,
442
+ "loss": 1.9021,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.04049266070524717,
447
+ "grad_norm": 1.2421875,
448
+ "learning_rate": 1.981620509009125e-05,
449
+ "loss": 1.8945,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.041135401351362205,
454
+ "grad_norm": 0.87109375,
455
+ "learning_rate": 1.9810148929596047e-05,
456
+ "loss": 1.9007,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.041778141997477244,
461
+ "grad_norm": 0.85546875,
462
+ "learning_rate": 1.9803995558437938e-05,
463
+ "loss": 1.8548,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.04242088264359228,
468
+ "grad_norm": 0.87890625,
469
+ "learning_rate": 1.9797745037591866e-05,
470
+ "loss": 1.952,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.04306362328970731,
475
+ "grad_norm": 1.265625,
476
+ "learning_rate": 1.979139742899545e-05,
477
+ "loss": 1.8855,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.04370636393582235,
482
+ "grad_norm": 0.7734375,
483
+ "learning_rate": 1.9784952795548374e-05,
484
+ "loss": 1.8523,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.04434910458193738,
489
+ "grad_norm": 0.99609375,
490
+ "learning_rate": 1.9778411201111755e-05,
491
+ "loss": 1.808,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.04499184522805241,
496
+ "grad_norm": 1.4296875,
497
+ "learning_rate": 1.9771772710507516e-05,
498
+ "loss": 1.8894,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.04563458587416745,
503
+ "grad_norm": 1.0390625,
504
+ "learning_rate": 1.976503738951775e-05,
505
+ "loss": 1.8869,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.046277326520282484,
510
+ "grad_norm": 1.1640625,
511
+ "learning_rate": 1.9758205304884048e-05,
512
+ "loss": 1.9048,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.04692006716639752,
517
+ "grad_norm": 1.015625,
518
+ "learning_rate": 1.9751276524306865e-05,
519
+ "loss": 1.848,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.047562807812512556,
524
+ "grad_norm": 1.0546875,
525
+ "learning_rate": 1.974425111644482e-05,
526
+ "loss": 1.8434,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.04820554845862759,
531
+ "grad_norm": 0.8828125,
532
+ "learning_rate": 1.9737129150914045e-05,
533
+ "loss": 1.9363,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.04884828910474262,
538
+ "grad_norm": 1.109375,
539
+ "learning_rate": 1.972991069828747e-05,
540
+ "loss": 1.8212,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.04949102975085766,
545
+ "grad_norm": 1.0390625,
546
+ "learning_rate": 1.9722595830094138e-05,
547
+ "loss": 1.8591,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.05013377039697269,
552
+ "grad_norm": 1.0,
553
+ "learning_rate": 1.9715184618818493e-05,
554
+ "loss": 1.9277,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.050776511043087724,
559
+ "grad_norm": 0.921875,
560
+ "learning_rate": 1.9707677137899662e-05,
561
+ "loss": 1.8552,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.05141925168920276,
566
+ "grad_norm": 0.89453125,
567
+ "learning_rate": 1.9700073461730725e-05,
568
+ "loss": 1.8265,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.052061992335317796,
573
+ "grad_norm": 1.3125,
574
+ "learning_rate": 1.969237366565798e-05,
575
+ "loss": 1.7932,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.05270473298143283,
580
+ "grad_norm": 0.76171875,
581
+ "learning_rate": 1.9684577825980192e-05,
582
+ "loss": 1.8122,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.05334747362754787,
587
+ "grad_norm": 0.9296875,
588
+ "learning_rate": 1.9676686019947852e-05,
589
+ "loss": 1.8671,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.0539902142736629,
594
+ "grad_norm": 0.9765625,
595
+ "learning_rate": 1.9668698325762378e-05,
596
+ "loss": 1.884,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.05463295491977793,
601
+ "grad_norm": 1.0234375,
602
+ "learning_rate": 1.9660614822575394e-05,
603
+ "loss": 1.9472,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.05527569556589297,
608
+ "grad_norm": 1.8984375,
609
+ "learning_rate": 1.9652435590487878e-05,
610
+ "loss": 1.7799,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.055918436212008,
615
+ "grad_norm": 0.8125,
616
+ "learning_rate": 1.964416071054944e-05,
617
+ "loss": 1.8548,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.056561176858123036,
622
+ "grad_norm": 1.15625,
623
+ "learning_rate": 1.963579026475745e-05,
624
+ "loss": 1.8213,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.05720391750423807,
629
+ "grad_norm": 1.0078125,
630
+ "learning_rate": 1.962732433605629e-05,
631
+ "loss": 1.8675,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.05784665815035311,
636
+ "grad_norm": 1.0625,
637
+ "learning_rate": 1.961876300833647e-05,
638
+ "loss": 1.8382,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.05848939879646814,
643
+ "grad_norm": 1.3359375,
644
+ "learning_rate": 1.9610106366433846e-05,
645
+ "loss": 1.8516,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.05913213944258317,
650
+ "grad_norm": 1.1796875,
651
+ "learning_rate": 1.9601354496128765e-05,
652
+ "loss": 1.8137,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.05977488008869821,
657
+ "grad_norm": 0.8046875,
658
+ "learning_rate": 1.9592507484145193e-05,
659
+ "loss": 1.9144,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.06041762073481324,
664
+ "grad_norm": 0.796875,
665
+ "learning_rate": 1.9583565418149887e-05,
666
+ "loss": 1.8284,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.061060361380928276,
671
+ "grad_norm": 0.90234375,
672
+ "learning_rate": 1.9574528386751507e-05,
673
+ "loss": 1.7851,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.061703102027043315,
678
+ "grad_norm": 0.8828125,
679
+ "learning_rate": 1.9565396479499744e-05,
680
+ "loss": 1.769,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.06234584267315835,
685
+ "grad_norm": 0.921875,
686
+ "learning_rate": 1.9556169786884436e-05,
687
+ "loss": 1.8202,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.06298858331927339,
692
+ "grad_norm": 1.015625,
693
+ "learning_rate": 1.9546848400334658e-05,
694
+ "loss": 1.8815,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.06363132396538841,
699
+ "grad_norm": 0.82421875,
700
+ "learning_rate": 1.953743241221784e-05,
701
+ "loss": 1.866,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.06427406461150345,
706
+ "grad_norm": 0.87109375,
707
+ "learning_rate": 1.9527921915838827e-05,
708
+ "loss": 1.8496,
709
+ "step": 1000
710
+ },
711
+ {
712
+ "epoch": 0.06491680525761849,
713
+ "grad_norm": 1.6015625,
714
+ "learning_rate": 1.9518317005438964e-05,
715
+ "loss": 1.7597,
716
+ "step": 1010
717
+ },
718
+ {
719
+ "epoch": 0.06555954590373352,
720
+ "grad_norm": 1.0625,
721
+ "learning_rate": 1.9508617776195167e-05,
722
+ "loss": 1.8705,
723
+ "step": 1020
724
+ },
725
+ {
726
+ "epoch": 0.06620228654984855,
727
+ "grad_norm": 0.90234375,
728
+ "learning_rate": 1.9498824324218973e-05,
729
+ "loss": 1.787,
730
+ "step": 1030
731
+ },
732
+ {
733
+ "epoch": 0.0668450271959636,
734
+ "grad_norm": 1.1328125,
735
+ "learning_rate": 1.9488936746555593e-05,
736
+ "loss": 1.7781,
737
+ "step": 1040
738
+ },
739
+ {
740
+ "epoch": 0.06748776784207862,
741
+ "grad_norm": 0.8046875,
742
+ "learning_rate": 1.9478955141182948e-05,
743
+ "loss": 1.7506,
744
+ "step": 1050
745
+ },
746
+ {
747
+ "epoch": 0.06813050848819366,
748
+ "grad_norm": 0.94921875,
749
+ "learning_rate": 1.946887960701069e-05,
750
+ "loss": 1.8555,
751
+ "step": 1060
752
+ },
753
+ {
754
+ "epoch": 0.0687732491343087,
755
+ "grad_norm": 0.8515625,
756
+ "learning_rate": 1.9458710243879242e-05,
757
+ "loss": 1.7989,
758
+ "step": 1070
759
+ },
760
+ {
761
+ "epoch": 0.06941598978042372,
762
+ "grad_norm": 1.109375,
763
+ "learning_rate": 1.944844715255879e-05,
764
+ "loss": 1.7939,
765
+ "step": 1080
766
+ },
767
+ {
768
+ "epoch": 0.07005873042653876,
769
+ "grad_norm": 1.046875,
770
+ "learning_rate": 1.9438090434748285e-05,
771
+ "loss": 1.7889,
772
+ "step": 1090
773
+ },
774
+ {
775
+ "epoch": 0.0707014710726538,
776
+ "grad_norm": 0.90625,
777
+ "learning_rate": 1.942764019307445e-05,
778
+ "loss": 1.7511,
779
+ "step": 1100
780
+ },
781
+ {
782
+ "epoch": 0.07134421171876883,
783
+ "grad_norm": 1.1875,
784
+ "learning_rate": 1.9417096531090752e-05,
785
+ "loss": 1.8022,
786
+ "step": 1110
787
+ },
788
+ {
789
+ "epoch": 0.07198695236488387,
790
+ "grad_norm": 1.1640625,
791
+ "learning_rate": 1.940645955327637e-05,
792
+ "loss": 1.8737,
793
+ "step": 1120
794
+ },
795
+ {
796
+ "epoch": 0.0726296930109989,
797
+ "grad_norm": 0.98046875,
798
+ "learning_rate": 1.9395729365035185e-05,
799
+ "loss": 1.764,
800
+ "step": 1130
801
+ },
802
+ {
803
+ "epoch": 0.07327243365711393,
804
+ "grad_norm": 1.6171875,
805
+ "learning_rate": 1.9384906072694703e-05,
806
+ "loss": 1.8344,
807
+ "step": 1140
808
+ },
809
+ {
810
+ "epoch": 0.07391517430322897,
811
+ "grad_norm": 1.1328125,
812
+ "learning_rate": 1.9373989783505017e-05,
813
+ "loss": 1.8173,
814
+ "step": 1150
815
+ },
816
+ {
817
+ "epoch": 0.07455791494934401,
818
+ "grad_norm": 0.9375,
819
+ "learning_rate": 1.936298060563775e-05,
820
+ "loss": 1.8271,
821
+ "step": 1160
822
+ },
823
+ {
824
+ "epoch": 0.07520065559545903,
825
+ "grad_norm": 0.83203125,
826
+ "learning_rate": 1.9351878648184973e-05,
827
+ "loss": 1.8369,
828
+ "step": 1170
829
+ },
830
+ {
831
+ "epoch": 0.07584339624157407,
832
+ "grad_norm": 1.1328125,
833
+ "learning_rate": 1.9340684021158133e-05,
834
+ "loss": 1.8255,
835
+ "step": 1180
836
+ },
837
+ {
838
+ "epoch": 0.07648613688768911,
839
+ "grad_norm": 1.125,
840
+ "learning_rate": 1.932939683548695e-05,
841
+ "loss": 1.7836,
842
+ "step": 1190
843
+ },
844
+ {
845
+ "epoch": 0.07712887753380414,
846
+ "grad_norm": 0.80078125,
847
+ "learning_rate": 1.9318017203018334e-05,
848
+ "loss": 1.7955,
849
+ "step": 1200
850
+ },
851
+ {
852
+ "epoch": 0.07777161817991918,
853
+ "grad_norm": 0.73828125,
854
+ "learning_rate": 1.9306545236515264e-05,
855
+ "loss": 1.748,
856
+ "step": 1210
857
+ },
858
+ {
859
+ "epoch": 0.07841435882603422,
860
+ "grad_norm": 1.5078125,
861
+ "learning_rate": 1.929498104965567e-05,
862
+ "loss": 1.7522,
863
+ "step": 1220
864
+ },
865
+ {
866
+ "epoch": 0.07905709947214924,
867
+ "grad_norm": 1.3828125,
868
+ "learning_rate": 1.928332475703132e-05,
869
+ "loss": 1.8157,
870
+ "step": 1230
871
+ },
872
+ {
873
+ "epoch": 0.07969984011826428,
874
+ "grad_norm": 0.83984375,
875
+ "learning_rate": 1.9271576474146667e-05,
876
+ "loss": 1.7609,
877
+ "step": 1240
878
+ },
879
+ {
880
+ "epoch": 0.0803425807643793,
881
+ "grad_norm": 0.84765625,
882
+ "learning_rate": 1.9259736317417723e-05,
883
+ "loss": 1.8088,
884
+ "step": 1250
885
+ },
886
+ {
887
+ "epoch": 0.08098532141049435,
888
+ "grad_norm": 1.40625,
889
+ "learning_rate": 1.9247804404170888e-05,
890
+ "loss": 1.8767,
891
+ "step": 1260
892
+ },
893
+ {
894
+ "epoch": 0.08162806205660939,
895
+ "grad_norm": 0.87890625,
896
+ "learning_rate": 1.9235780852641798e-05,
897
+ "loss": 1.7125,
898
+ "step": 1270
899
+ },
900
+ {
901
+ "epoch": 0.08227080270272441,
902
+ "grad_norm": 1.078125,
903
+ "learning_rate": 1.9223665781974154e-05,
904
+ "loss": 1.8067,
905
+ "step": 1280
906
+ },
907
+ {
908
+ "epoch": 0.08291354334883945,
909
+ "grad_norm": 0.890625,
910
+ "learning_rate": 1.921145931221853e-05,
911
+ "loss": 1.669,
912
+ "step": 1290
913
+ },
914
+ {
915
+ "epoch": 0.08355628399495449,
916
+ "grad_norm": 1.0,
917
+ "learning_rate": 1.9199161564331196e-05,
918
+ "loss": 1.7822,
919
+ "step": 1300
920
+ },
921
+ {
922
+ "epoch": 0.08419902464106951,
923
+ "grad_norm": 1.03125,
924
+ "learning_rate": 1.9186772660172916e-05,
925
+ "loss": 1.8901,
926
+ "step": 1310
927
+ },
928
+ {
929
+ "epoch": 0.08484176528718455,
930
+ "grad_norm": 0.75390625,
931
+ "learning_rate": 1.9174292722507735e-05,
932
+ "loss": 1.7516,
933
+ "step": 1320
934
+ },
935
+ {
936
+ "epoch": 0.08548450593329959,
937
+ "grad_norm": 1.1328125,
938
+ "learning_rate": 1.916172187500177e-05,
939
+ "loss": 1.8496,
940
+ "step": 1330
941
+ },
942
+ {
943
+ "epoch": 0.08612724657941462,
944
+ "grad_norm": 1.046875,
945
+ "learning_rate": 1.914906024222198e-05,
946
+ "loss": 1.8261,
947
+ "step": 1340
948
+ },
949
+ {
950
+ "epoch": 0.08676998722552966,
951
+ "grad_norm": 0.953125,
952
+ "learning_rate": 1.913630794963493e-05,
953
+ "loss": 1.7513,
954
+ "step": 1350
955
+ },
956
+ {
957
+ "epoch": 0.0874127278716447,
958
+ "grad_norm": 0.73046875,
959
+ "learning_rate": 1.9123465123605558e-05,
960
+ "loss": 1.6671,
961
+ "step": 1360
962
+ },
963
+ {
964
+ "epoch": 0.08805546851775972,
965
+ "grad_norm": 1.4921875,
966
+ "learning_rate": 1.9110531891395906e-05,
967
+ "loss": 1.8489,
968
+ "step": 1370
969
+ },
970
+ {
971
+ "epoch": 0.08869820916387476,
972
+ "grad_norm": 0.67578125,
973
+ "learning_rate": 1.9097508381163877e-05,
974
+ "loss": 1.7958,
975
+ "step": 1380
976
+ },
977
+ {
978
+ "epoch": 0.0893409498099898,
979
+ "grad_norm": 0.8359375,
980
+ "learning_rate": 1.9084394721961956e-05,
981
+ "loss": 1.7382,
982
+ "step": 1390
983
+ },
984
+ {
985
+ "epoch": 0.08998369045610483,
986
+ "grad_norm": 1.296875,
987
+ "learning_rate": 1.907119104373592e-05,
988
+ "loss": 1.8107,
989
+ "step": 1400
990
+ },
991
+ {
992
+ "epoch": 0.09062643110221986,
993
+ "grad_norm": 1.140625,
994
+ "learning_rate": 1.9057897477323572e-05,
995
+ "loss": 1.829,
996
+ "step": 1410
997
+ },
998
+ {
999
+ "epoch": 0.0912691717483349,
1000
+ "grad_norm": 1.078125,
1001
+ "learning_rate": 1.9044514154453434e-05,
1002
+ "loss": 1.7685,
1003
+ "step": 1420
1004
+ },
1005
+ {
1006
+ "epoch": 0.09191191239444993,
1007
+ "grad_norm": 0.890625,
1008
+ "learning_rate": 1.903104120774344e-05,
1009
+ "loss": 1.8001,
1010
+ "step": 1430
1011
+ },
1012
+ {
1013
+ "epoch": 0.09255465304056497,
1014
+ "grad_norm": 1.078125,
1015
+ "learning_rate": 1.9017478770699624e-05,
1016
+ "loss": 1.7632,
1017
+ "step": 1440
1018
+ },
1019
+ {
1020
+ "epoch": 0.09319739368668001,
1021
+ "grad_norm": 0.99609375,
1022
+ "learning_rate": 1.90038269777148e-05,
1023
+ "loss": 1.7482,
1024
+ "step": 1450
1025
+ },
1026
+ {
1027
+ "epoch": 0.09384013433279503,
1028
+ "grad_norm": 1.421875,
1029
+ "learning_rate": 1.899008596406722e-05,
1030
+ "loss": 1.8016,
1031
+ "step": 1460
1032
+ },
1033
+ {
1034
+ "epoch": 0.09448287497891007,
1035
+ "grad_norm": 0.96875,
1036
+ "learning_rate": 1.897625586591925e-05,
1037
+ "loss": 1.7998,
1038
+ "step": 1470
1039
+ },
1040
+ {
1041
+ "epoch": 0.09512561562502511,
1042
+ "grad_norm": 0.796875,
1043
+ "learning_rate": 1.896233682031601e-05,
1044
+ "loss": 1.7887,
1045
+ "step": 1480
1046
+ },
1047
+ {
1048
+ "epoch": 0.09576835627114014,
1049
+ "grad_norm": 1.0078125,
1050
+ "learning_rate": 1.8948328965184004e-05,
1051
+ "loss": 1.7226,
1052
+ "step": 1490
1053
+ },
1054
+ {
1055
+ "epoch": 0.09641109691725518,
1056
+ "grad_norm": 1.09375,
1057
+ "learning_rate": 1.8934232439329786e-05,
1058
+ "loss": 1.7656,
1059
+ "step": 1500
1060
+ }
1061
+ ],
1062
+ "logging_steps": 10,
1063
+ "max_steps": 10000,
1064
+ "num_input_tokens_seen": 0,
1065
+ "num_train_epochs": 1,
1066
+ "save_steps": 500,
1067
+ "total_flos": 5.727119678111744e+16,
1068
+ "train_batch_size": 1,
1069
+ "trial_name": null,
1070
+ "trial_params": null
1071
+ }
checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30a2b8c75f6c8efb010f466f95c3a7d3b4f1b9fdafb2292a6772325b7ecc75b1
3
+ size 4984
checkpoint-1500/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2000/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: bigcode/starcoder2-3b
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-2000/adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "bigcode/starcoder2-3b",
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": 8,
13
+ "lora_dropout": 0.0,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 8,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "gate_proj",
23
+ "o_proj",
24
+ "up_proj",
25
+ "q_proj",
26
+ "k_proj",
27
+ "v_proj",
28
+ "down_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_rslora": false
32
+ }
checkpoint-2000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ebb9eb6be2fae7b4b7383b1571153cffb04a94dd538d7339288f3614f3802df
3
+ size 9124880
checkpoint-2000/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0de3a2d750a49eb1f360cdb2b6a866c96d0b7391bbc601072a8861fb3659316b
3
+ size 10077242
checkpoint-2000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cc17efac5bc26257b8caedf0da33a4c032144ba42bc8f97ac789432f257c112
3
+ size 14512
checkpoint-2000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d0e861d54c8af7cea4e3b6ceabcc61182911db4b0dc6eb143b693220bbe3b1d
3
+ size 14512
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db4b2a6f29aa317530750a1491770f2b9deac33eb8b4f7e72753fe31c5db68ac
3
+ size 1064