tuix3 commited on
Commit
f837da7
·
verified ·
1 Parent(s): 86b71b4

Upload 13 files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: bigcode/starcoder2-3b
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.14.0
adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "bigcode/starcoder2-3b",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": false,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 8,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0.0,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 8,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "v_proj",
27
+ "k_proj",
28
+ "gate_proj",
29
+ "q_proj",
30
+ "o_proj",
31
+ "up_proj",
32
+ "down_proj"
33
+ ],
34
+ "task_type": "CAUSAL_LM",
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c64fde89ab98147773da092ebdace054c2d0ed8fabdb63a0997127acc2c64d3b
3
+ size 18218008
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d7fd2d02f1d0507af005938dd3cd563990bcdcca384460398410cd974b1c020
3
+ size 10215610
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e6ed51aa330e0221a77d89f2a36bfc94f6b8b3200328aa12068fba12fe84081b
3
+ size 14180
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7b5bf190dc871967c45091d9f1ab233b2d2ed62baca21fee5dfedb5718ffa5d
3
+ size 1064
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
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,358 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "extra_special_tokens": {},
353
+ "model_max_length": 1000000000000000019884624838656,
354
+ "pad_token": "<|endoftext|>",
355
+ "tokenizer_class": "GPT2Tokenizer",
356
+ "unk_token": "<|endoftext|>",
357
+ "vocab_size": 49152
358
+ }
trainer_state.json ADDED
@@ -0,0 +1,733 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.05660991522665195,
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": 0.0005660991522665195,
13
+ "grad_norm": 0.4538244605064392,
14
+ "learning_rate": 2e-05,
15
+ "loss": 3.4057,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.001132198304533039,
20
+ "grad_norm": 0.5858215689659119,
21
+ "learning_rate": 4e-05,
22
+ "loss": 3.0604,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.0016982974567995583,
27
+ "grad_norm": 0.612471342086792,
28
+ "learning_rate": 6e-05,
29
+ "loss": 3.3496,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.002264396609066078,
34
+ "grad_norm": 0.9295674562454224,
35
+ "learning_rate": 8e-05,
36
+ "loss": 2.9204,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.0028304957613325974,
41
+ "grad_norm": 0.7428744435310364,
42
+ "learning_rate": 0.0001,
43
+ "loss": 2.7989,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.0033965949135991167,
48
+ "grad_norm": 39.52121353149414,
49
+ "learning_rate": 0.00012,
50
+ "loss": 2.3753,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.003962694065865636,
55
+ "grad_norm": 1.2908339500427246,
56
+ "learning_rate": 0.00014,
57
+ "loss": 2.3282,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.004528793218132156,
62
+ "grad_norm": 1.0259243249893188,
63
+ "learning_rate": 0.00016,
64
+ "loss": 2.0235,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.0050948923703986754,
69
+ "grad_norm": 5.856877326965332,
70
+ "learning_rate": 0.00018,
71
+ "loss": 2.3282,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.005660991522665195,
76
+ "grad_norm": 1.6842005252838135,
77
+ "learning_rate": 0.0002,
78
+ "loss": 2.1914,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.006227090674931714,
83
+ "grad_norm": 1.1379739046096802,
84
+ "learning_rate": 0.0001999390827019096,
85
+ "loss": 2.1828,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.006793189827198233,
90
+ "grad_norm": 1.5961283445358276,
91
+ "learning_rate": 0.00019975640502598244,
92
+ "loss": 2.1712,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.0073592889794647535,
97
+ "grad_norm": 1.2035201787948608,
98
+ "learning_rate": 0.00019945218953682734,
99
+ "loss": 1.8216,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.007925388131731272,
104
+ "grad_norm": 3.0688140392303467,
105
+ "learning_rate": 0.00019902680687415705,
106
+ "loss": 2.0315,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.008491487283997793,
111
+ "grad_norm": 1.050741195678711,
112
+ "learning_rate": 0.00019848077530122083,
113
+ "loss": 1.9974,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.009057586436264312,
118
+ "grad_norm": 1.5697944164276123,
119
+ "learning_rate": 0.00019781476007338058,
120
+ "loss": 1.8635,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.009623685588530832,
125
+ "grad_norm": 1.8822702169418335,
126
+ "learning_rate": 0.00019702957262759965,
127
+ "loss": 1.7645,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.010189784740797351,
132
+ "grad_norm": 6.6875224113464355,
133
+ "learning_rate": 0.0001961261695938319,
134
+ "loss": 2.0548,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.01075588389306387,
139
+ "grad_norm": 1.6249600648880005,
140
+ "learning_rate": 0.00019510565162951537,
141
+ "loss": 1.9403,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.01132198304533039,
146
+ "grad_norm": 1.3810372352600098,
147
+ "learning_rate": 0.00019396926207859084,
148
+ "loss": 1.8465,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.011888082197596909,
153
+ "grad_norm": 1.6512261629104614,
154
+ "learning_rate": 0.00019271838545667876,
155
+ "loss": 1.764,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.012454181349863428,
160
+ "grad_norm": 2.0129904747009277,
161
+ "learning_rate": 0.0001913545457642601,
162
+ "loss": 1.6833,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.013020280502129947,
167
+ "grad_norm": 2.3854947090148926,
168
+ "learning_rate": 0.0001898794046299167,
169
+ "loss": 1.9643,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.013586379654396467,
174
+ "grad_norm": 11.102593421936035,
175
+ "learning_rate": 0.00018829475928589271,
176
+ "loss": 1.8319,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.014152478806662988,
181
+ "grad_norm": 1.0218788385391235,
182
+ "learning_rate": 0.00018660254037844388,
183
+ "loss": 1.7456,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.014718577958929507,
188
+ "grad_norm": 2.1926181316375732,
189
+ "learning_rate": 0.0001848048096156426,
190
+ "loss": 1.7705,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.015284677111196026,
195
+ "grad_norm": 1.2894445657730103,
196
+ "learning_rate": 0.00018290375725550417,
197
+ "loss": 1.759,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.015850776263462544,
202
+ "grad_norm": 1.2821546792984009,
203
+ "learning_rate": 0.00018090169943749476,
204
+ "loss": 1.7809,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.016416875415729067,
209
+ "grad_norm": 1.6037951707839966,
210
+ "learning_rate": 0.00017880107536067218,
211
+ "loss": 1.6338,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.016982974567995586,
216
+ "grad_norm": 1.6165717840194702,
217
+ "learning_rate": 0.0001766044443118978,
218
+ "loss": 1.59,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.017549073720262105,
223
+ "grad_norm": 1.3858145475387573,
224
+ "learning_rate": 0.00017431448254773944,
225
+ "loss": 1.7459,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.018115172872528625,
230
+ "grad_norm": 1.5735255479812622,
231
+ "learning_rate": 0.0001719339800338651,
232
+ "loss": 1.7295,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.018681272024795144,
237
+ "grad_norm": 1.284432053565979,
238
+ "learning_rate": 0.00016946583704589973,
239
+ "loss": 1.769,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.019247371177061663,
244
+ "grad_norm": 0.984366238117218,
245
+ "learning_rate": 0.00016691306063588583,
246
+ "loss": 1.6516,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.019813470329328182,
251
+ "grad_norm": 1.6160484552383423,
252
+ "learning_rate": 0.00016427876096865394,
253
+ "loss": 1.529,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.020379569481594702,
258
+ "grad_norm": 1.8237900733947754,
259
+ "learning_rate": 0.0001615661475325658,
260
+ "loss": 1.7505,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.02094566863386122,
265
+ "grad_norm": 1.297549843788147,
266
+ "learning_rate": 0.00015877852522924732,
267
+ "loss": 1.7133,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.02151176778612774,
272
+ "grad_norm": 2.0918915271759033,
273
+ "learning_rate": 0.0001559192903470747,
274
+ "loss": 1.6225,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.02207786693839426,
279
+ "grad_norm": 1.0555062294006348,
280
+ "learning_rate": 0.0001529919264233205,
281
+ "loss": 1.6404,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.02264396609066078,
286
+ "grad_norm": 1.5048798322677612,
287
+ "learning_rate": 0.00015000000000000001,
288
+ "loss": 1.6544,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.0232100652429273,
293
+ "grad_norm": 1.7201550006866455,
294
+ "learning_rate": 0.00014694715627858908,
295
+ "loss": 1.5341,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.023776164395193818,
300
+ "grad_norm": 1.2342567443847656,
301
+ "learning_rate": 0.00014383711467890774,
302
+ "loss": 1.5762,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.024342263547460337,
307
+ "grad_norm": 0.8844823241233826,
308
+ "learning_rate": 0.00014067366430758004,
309
+ "loss": 1.4964,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.024908362699726856,
314
+ "grad_norm": 2.017977714538574,
315
+ "learning_rate": 0.00013746065934159123,
316
+ "loss": 1.5507,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.025474461851993375,
321
+ "grad_norm": 1.0709903240203857,
322
+ "learning_rate": 0.00013420201433256689,
323
+ "loss": 1.51,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.026040561004259895,
328
+ "grad_norm": 0.863139271736145,
329
+ "learning_rate": 0.00013090169943749476,
330
+ "loss": 1.5191,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.026606660156526414,
335
+ "grad_norm": 1.096670389175415,
336
+ "learning_rate": 0.0001275637355816999,
337
+ "loss": 1.6605,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.027172759308792933,
342
+ "grad_norm": 0.9680797457695007,
343
+ "learning_rate": 0.00012419218955996676,
344
+ "loss": 1.6433,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.027738858461059456,
349
+ "grad_norm": 1.6639995574951172,
350
+ "learning_rate": 0.00012079116908177593,
351
+ "loss": 1.5499,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.028304957613325975,
356
+ "grad_norm": 1.3906327486038208,
357
+ "learning_rate": 0.00011736481776669306,
358
+ "loss": 1.5884,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.028871056765592495,
363
+ "grad_norm": 1.403045654296875,
364
+ "learning_rate": 0.00011391731009600654,
365
+ "loss": 1.4895,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.029437155917859014,
370
+ "grad_norm": 1.4162797927856445,
371
+ "learning_rate": 0.00011045284632676536,
372
+ "loss": 1.7302,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.030003255070125533,
377
+ "grad_norm": 1.0728657245635986,
378
+ "learning_rate": 0.00010697564737441252,
379
+ "loss": 1.6658,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.030569354222392053,
384
+ "grad_norm": 0.9048101902008057,
385
+ "learning_rate": 0.00010348994967025012,
386
+ "loss": 1.6423,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.031135453374658572,
391
+ "grad_norm": 4.7274250984191895,
392
+ "learning_rate": 0.0001,
393
+ "loss": 1.6433,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.03170155252692509,
398
+ "grad_norm": 1.6377885341644287,
399
+ "learning_rate": 9.651005032974994e-05,
400
+ "loss": 1.6475,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.03226765167919161,
405
+ "grad_norm": 2.1424057483673096,
406
+ "learning_rate": 9.302435262558747e-05,
407
+ "loss": 1.5888,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.03283375083145813,
412
+ "grad_norm": 0.9035511612892151,
413
+ "learning_rate": 8.954715367323468e-05,
414
+ "loss": 1.6005,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.03339984998372465,
419
+ "grad_norm": 1.209153413772583,
420
+ "learning_rate": 8.608268990399349e-05,
421
+ "loss": 1.6187,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.03396594913599117,
426
+ "grad_norm": 1.4936399459838867,
427
+ "learning_rate": 8.263518223330697e-05,
428
+ "loss": 1.6622,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.03453204828825769,
433
+ "grad_norm": 0.9744408130645752,
434
+ "learning_rate": 7.920883091822408e-05,
435
+ "loss": 1.5553,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.03509814744052421,
440
+ "grad_norm": 1.1214041709899902,
441
+ "learning_rate": 7.580781044003324e-05,
442
+ "loss": 1.4749,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.03566424659279073,
447
+ "grad_norm": 1.5141066312789917,
448
+ "learning_rate": 7.243626441830009e-05,
449
+ "loss": 1.6162,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.03623034574505725,
454
+ "grad_norm": 1.1192114353179932,
455
+ "learning_rate": 6.909830056250527e-05,
456
+ "loss": 1.6655,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.03679644489732377,
461
+ "grad_norm": 0.8808345794677734,
462
+ "learning_rate": 6.579798566743314e-05,
463
+ "loss": 1.5585,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.03736254404959029,
468
+ "grad_norm": 1.2207506895065308,
469
+ "learning_rate": 6.25393406584088e-05,
470
+ "loss": 1.5282,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.03792864320185681,
475
+ "grad_norm": 0.8557892441749573,
476
+ "learning_rate": 5.9326335692419995e-05,
477
+ "loss": 1.6304,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.038494742354123326,
482
+ "grad_norm": 1.4455292224884033,
483
+ "learning_rate": 5.616288532109225e-05,
484
+ "loss": 1.7623,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.039060841506389846,
489
+ "grad_norm": 1.7669495344161987,
490
+ "learning_rate": 5.305284372141095e-05,
491
+ "loss": 1.5934,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.039626940658656365,
496
+ "grad_norm": 2.2413482666015625,
497
+ "learning_rate": 5.000000000000002e-05,
498
+ "loss": 1.692,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.040193039810922884,
503
+ "grad_norm": 0.9742591977119446,
504
+ "learning_rate": 4.700807357667952e-05,
505
+ "loss": 1.5471,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.040759138963189404,
510
+ "grad_norm": 1.437410593032837,
511
+ "learning_rate": 4.4080709652925336e-05,
512
+ "loss": 1.5466,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.04132523811545592,
517
+ "grad_norm": 1.625700831413269,
518
+ "learning_rate": 4.12214747707527e-05,
519
+ "loss": 1.5798,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.04189133726772244,
524
+ "grad_norm": 0.8843604922294617,
525
+ "learning_rate": 3.843385246743417e-05,
526
+ "loss": 1.5987,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.04245743641998896,
531
+ "grad_norm": 1.7022398710250854,
532
+ "learning_rate": 3.5721239031346066e-05,
533
+ "loss": 1.7433,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.04302353557225548,
538
+ "grad_norm": 0.8799572587013245,
539
+ "learning_rate": 3.308693936411421e-05,
540
+ "loss": 1.4654,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.043589634724522,
545
+ "grad_norm": 0.8340188264846802,
546
+ "learning_rate": 3.053416295410026e-05,
547
+ "loss": 1.5339,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.04415573387678852,
552
+ "grad_norm": 1.684546947479248,
553
+ "learning_rate": 2.8066019966134904e-05,
554
+ "loss": 1.5587,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.04472183302905504,
559
+ "grad_norm": 1.205370306968689,
560
+ "learning_rate": 2.5685517452260567e-05,
561
+ "loss": 1.3387,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.04528793218132156,
566
+ "grad_norm": 1.310747504234314,
567
+ "learning_rate": 2.339555568810221e-05,
568
+ "loss": 1.538,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.04585403133358808,
573
+ "grad_norm": 2.451975107192993,
574
+ "learning_rate": 2.119892463932781e-05,
575
+ "loss": 1.6725,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.0464201304858546,
580
+ "grad_norm": 2.1125898361206055,
581
+ "learning_rate": 1.9098300562505266e-05,
582
+ "loss": 1.4746,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.046986229638121116,
587
+ "grad_norm": 0.9616561532020569,
588
+ "learning_rate": 1.7096242744495837e-05,
589
+ "loss": 1.4724,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.047552328790387635,
594
+ "grad_norm": 1.1507611274719238,
595
+ "learning_rate": 1.5195190384357404e-05,
596
+ "loss": 1.4674,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.048118427942654154,
601
+ "grad_norm": 1.4164016246795654,
602
+ "learning_rate": 1.339745962155613e-05,
603
+ "loss": 1.5415,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.048684527094920674,
608
+ "grad_norm": 1.2756904363632202,
609
+ "learning_rate": 1.1705240714107302e-05,
610
+ "loss": 1.4425,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.04925062624718719,
615
+ "grad_norm": 1.3417842388153076,
616
+ "learning_rate": 1.0120595370083318e-05,
617
+ "loss": 1.4356,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.04981672539945371,
622
+ "grad_norm": 2.374289035797119,
623
+ "learning_rate": 8.645454235739903e-06,
624
+ "loss": 1.4808,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.05038282455172023,
629
+ "grad_norm": 3.114461660385132,
630
+ "learning_rate": 7.281614543321269e-06,
631
+ "loss": 1.6683,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.05094892370398675,
636
+ "grad_norm": 1.7116568088531494,
637
+ "learning_rate": 6.030737921409169e-06,
638
+ "loss": 1.6627,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.05151502285625327,
643
+ "grad_norm": 1.497970461845398,
644
+ "learning_rate": 4.8943483704846475e-06,
645
+ "loss": 1.4333,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.05208112200851979,
650
+ "grad_norm": 1.462307333946228,
651
+ "learning_rate": 3.873830406168111e-06,
652
+ "loss": 1.3954,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.05264722116078631,
657
+ "grad_norm": 0.9947201609611511,
658
+ "learning_rate": 2.970427372400353e-06,
659
+ "loss": 1.5113,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.05321332031305283,
664
+ "grad_norm": 1.0234606266021729,
665
+ "learning_rate": 2.1852399266194314e-06,
666
+ "loss": 1.5614,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.05377941946531935,
671
+ "grad_norm": 1.0096086263656616,
672
+ "learning_rate": 1.5192246987791981e-06,
673
+ "loss": 1.4893,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.05434551861758587,
678
+ "grad_norm": 1.2131421566009521,
679
+ "learning_rate": 9.731931258429638e-07,
680
+ "loss": 1.5647,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.05491161776985239,
685
+ "grad_norm": 1.0574455261230469,
686
+ "learning_rate": 5.478104631726711e-07,
687
+ "loss": 1.3718,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.05547771692211891,
692
+ "grad_norm": 1.1654020547866821,
693
+ "learning_rate": 2.4359497401758024e-07,
694
+ "loss": 1.6251,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.05604381607438543,
699
+ "grad_norm": 1.3310041427612305,
700
+ "learning_rate": 6.09172980904238e-08,
701
+ "loss": 1.6333,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.05660991522665195,
706
+ "grad_norm": 1.0006204843521118,
707
+ "learning_rate": 0.0,
708
+ "loss": 1.534,
709
+ "step": 1000
710
+ }
711
+ ],
712
+ "logging_steps": 10,
713
+ "max_steps": 1000,
714
+ "num_input_tokens_seen": 0,
715
+ "num_train_epochs": 1,
716
+ "save_steps": 500,
717
+ "stateful_callbacks": {
718
+ "TrainerControl": {
719
+ "args": {
720
+ "should_epoch_stop": false,
721
+ "should_evaluate": false,
722
+ "should_log": false,
723
+ "should_save": true,
724
+ "should_training_stop": true
725
+ },
726
+ "attributes": {}
727
+ }
728
+ },
729
+ "total_flos": 2.297589686332416e+16,
730
+ "train_batch_size": 1,
731
+ "trial_name": null,
732
+ "trial_params": null
733
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33385d02ff3b922dcbdd365d115c6a49f3a22b1fe99bc0e2d25b1b356b191eef
3
+ size 5624
vocab.json ADDED
The diff for this file is too large to render. See raw diff