paulo037 commited on
Commit
7d4cbc1
·
verified ·
1 Parent(s): a64bc14

Training in progress, step 350, checkpoint

Browse files
checkpoint-350/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: NESPED-GEN/StableCode-text2SQL-alias-indentacao
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 0.13.2
checkpoint-350/adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "StableLmForCausalLM",
5
+ "parent_library": "transformers.models.stablelm.modeling_stablelm"
6
+ },
7
+ "base_model_name_or_path": "NESPED-GEN/StableCode-text2SQL-alias-indentacao",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 128,
17
+ "lora_dropout": 0.1,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 64,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "down_proj",
27
+ "gate_proj",
28
+ "q_proj",
29
+ "o_proj",
30
+ "k_proj",
31
+ "up_proj",
32
+ "v_proj"
33
+ ],
34
+ "task_type": null,
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
checkpoint-350/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0b2a75750b686f3d2161152507926652bc9e6a194655983fc38b261eb73a67e
3
+ size 400616360
checkpoint-350/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:933ca17542013dc592b703739dfb47f38dbf6ec477f3d6cc8b991d3b0ff226e4
3
+ size 801490386
checkpoint-350/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da917e7e0009a0ad73248d07fa59b9a2baee982cc26d1d03f7236efc225318ba
3
+ size 14308
checkpoint-350/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e09ec7dc1c0c8e0c0eba52363c1f2b77df89960d23b416c19992027dd6a5313
3
+ size 1064
checkpoint-350/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<|endoftext|>",
17
+ "unk_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
checkpoint-350/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-350/tokenizer_config.json ADDED
@@ -0,0 +1,392 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": false,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<|padding|>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "50254": {
23
+ "content": " ",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": false
29
+ },
30
+ "50255": {
31
+ "content": " ",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": false
37
+ },
38
+ "50256": {
39
+ "content": " ",
40
+ "lstrip": false,
41
+ "normalized": true,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": false
45
+ },
46
+ "50257": {
47
+ "content": " ",
48
+ "lstrip": false,
49
+ "normalized": true,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": false
53
+ },
54
+ "50258": {
55
+ "content": " ",
56
+ "lstrip": false,
57
+ "normalized": true,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": false
61
+ },
62
+ "50259": {
63
+ "content": " ",
64
+ "lstrip": false,
65
+ "normalized": true,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": false
69
+ },
70
+ "50260": {
71
+ "content": " ",
72
+ "lstrip": false,
73
+ "normalized": true,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": false
77
+ },
78
+ "50261": {
79
+ "content": " ",
80
+ "lstrip": false,
81
+ "normalized": true,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": false
85
+ },
86
+ "50262": {
87
+ "content": " ",
88
+ "lstrip": false,
89
+ "normalized": true,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": false
93
+ },
94
+ "50263": {
95
+ "content": " ",
96
+ "lstrip": false,
97
+ "normalized": true,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": false
101
+ },
102
+ "50264": {
103
+ "content": " ",
104
+ "lstrip": false,
105
+ "normalized": true,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": false
109
+ },
110
+ "50265": {
111
+ "content": " ",
112
+ "lstrip": false,
113
+ "normalized": true,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": false
117
+ },
118
+ "50266": {
119
+ "content": " ",
120
+ "lstrip": false,
121
+ "normalized": true,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": false
125
+ },
126
+ "50267": {
127
+ "content": " ",
128
+ "lstrip": false,
129
+ "normalized": true,
130
+ "rstrip": false,
131
+ "single_word": false,
132
+ "special": false
133
+ },
134
+ "50268": {
135
+ "content": " ",
136
+ "lstrip": false,
137
+ "normalized": true,
138
+ "rstrip": false,
139
+ "single_word": false,
140
+ "special": false
141
+ },
142
+ "50269": {
143
+ "content": " ",
144
+ "lstrip": false,
145
+ "normalized": true,
146
+ "rstrip": false,
147
+ "single_word": false,
148
+ "special": false
149
+ },
150
+ "50270": {
151
+ "content": " ",
152
+ "lstrip": false,
153
+ "normalized": true,
154
+ "rstrip": false,
155
+ "single_word": false,
156
+ "special": false
157
+ },
158
+ "50271": {
159
+ "content": " ",
160
+ "lstrip": false,
161
+ "normalized": true,
162
+ "rstrip": false,
163
+ "single_word": false,
164
+ "special": false
165
+ },
166
+ "50272": {
167
+ "content": " ",
168
+ "lstrip": false,
169
+ "normalized": true,
170
+ "rstrip": false,
171
+ "single_word": false,
172
+ "special": false
173
+ },
174
+ "50273": {
175
+ "content": " ",
176
+ "lstrip": false,
177
+ "normalized": true,
178
+ "rstrip": false,
179
+ "single_word": false,
180
+ "special": false
181
+ },
182
+ "50274": {
183
+ "content": " ",
184
+ "lstrip": false,
185
+ "normalized": true,
186
+ "rstrip": false,
187
+ "single_word": false,
188
+ "special": false
189
+ },
190
+ "50275": {
191
+ "content": " ",
192
+ "lstrip": false,
193
+ "normalized": true,
194
+ "rstrip": false,
195
+ "single_word": false,
196
+ "special": false
197
+ },
198
+ "50276": {
199
+ "content": " ",
200
+ "lstrip": false,
201
+ "normalized": true,
202
+ "rstrip": false,
203
+ "single_word": false,
204
+ "special": false
205
+ },
206
+ "50277": {
207
+ "content": "<fim_prefix>",
208
+ "lstrip": false,
209
+ "normalized": false,
210
+ "rstrip": false,
211
+ "single_word": false,
212
+ "special": true
213
+ },
214
+ "50278": {
215
+ "content": "<fim_middle>",
216
+ "lstrip": false,
217
+ "normalized": false,
218
+ "rstrip": false,
219
+ "single_word": false,
220
+ "special": true
221
+ },
222
+ "50279": {
223
+ "content": "<fim_suffix>",
224
+ "lstrip": false,
225
+ "normalized": false,
226
+ "rstrip": false,
227
+ "single_word": false,
228
+ "special": true
229
+ },
230
+ "50280": {
231
+ "content": "<fim_pad>",
232
+ "lstrip": false,
233
+ "normalized": false,
234
+ "rstrip": false,
235
+ "single_word": false,
236
+ "special": true
237
+ },
238
+ "50281": {
239
+ "content": "<filename>",
240
+ "lstrip": false,
241
+ "normalized": false,
242
+ "rstrip": false,
243
+ "single_word": false,
244
+ "special": true
245
+ },
246
+ "50282": {
247
+ "content": "<gh_stars>",
248
+ "lstrip": false,
249
+ "normalized": false,
250
+ "rstrip": false,
251
+ "single_word": false,
252
+ "special": true
253
+ },
254
+ "50283": {
255
+ "content": "<issue_start>",
256
+ "lstrip": false,
257
+ "normalized": false,
258
+ "rstrip": false,
259
+ "single_word": false,
260
+ "special": true
261
+ },
262
+ "50284": {
263
+ "content": "<issue_comment>",
264
+ "lstrip": false,
265
+ "normalized": false,
266
+ "rstrip": false,
267
+ "single_word": false,
268
+ "special": true
269
+ },
270
+ "50285": {
271
+ "content": "<issue_closed>",
272
+ "lstrip": false,
273
+ "normalized": false,
274
+ "rstrip": false,
275
+ "single_word": false,
276
+ "special": true
277
+ },
278
+ "50286": {
279
+ "content": "<jupyter_start>",
280
+ "lstrip": false,
281
+ "normalized": false,
282
+ "rstrip": false,
283
+ "single_word": false,
284
+ "special": true
285
+ },
286
+ "50287": {
287
+ "content": "<jupyter_text>",
288
+ "lstrip": false,
289
+ "normalized": false,
290
+ "rstrip": false,
291
+ "single_word": false,
292
+ "special": true
293
+ },
294
+ "50288": {
295
+ "content": "<jupyter_code>",
296
+ "lstrip": false,
297
+ "normalized": false,
298
+ "rstrip": false,
299
+ "single_word": false,
300
+ "special": true
301
+ },
302
+ "50289": {
303
+ "content": "<jupyter_output>",
304
+ "lstrip": false,
305
+ "normalized": false,
306
+ "rstrip": false,
307
+ "single_word": false,
308
+ "special": true
309
+ },
310
+ "50290": {
311
+ "content": "<empty_output>",
312
+ "lstrip": false,
313
+ "normalized": false,
314
+ "rstrip": false,
315
+ "single_word": false,
316
+ "special": true
317
+ },
318
+ "50291": {
319
+ "content": "<commit_before>",
320
+ "lstrip": false,
321
+ "normalized": false,
322
+ "rstrip": false,
323
+ "single_word": false,
324
+ "special": true
325
+ },
326
+ "50292": {
327
+ "content": "<commit_msg>",
328
+ "lstrip": false,
329
+ "normalized": false,
330
+ "rstrip": false,
331
+ "single_word": false,
332
+ "special": true
333
+ },
334
+ "50293": {
335
+ "content": "<commit_after>",
336
+ "lstrip": false,
337
+ "normalized": false,
338
+ "rstrip": false,
339
+ "single_word": false,
340
+ "special": true
341
+ },
342
+ "50294": {
343
+ "content": "<reponame>",
344
+ "lstrip": false,
345
+ "normalized": false,
346
+ "rstrip": false,
347
+ "single_word": false,
348
+ "special": true
349
+ },
350
+ "50295": {
351
+ "content": "<repo_continuation>",
352
+ "lstrip": false,
353
+ "normalized": false,
354
+ "rstrip": false,
355
+ "single_word": false,
356
+ "special": true
357
+ },
358
+ "50296": {
359
+ "content": "[PAD]",
360
+ "lstrip": false,
361
+ "normalized": false,
362
+ "rstrip": false,
363
+ "single_word": false,
364
+ "special": true
365
+ },
366
+ "50297": {
367
+ "content": "<|im_start|>",
368
+ "lstrip": false,
369
+ "normalized": false,
370
+ "rstrip": false,
371
+ "single_word": false,
372
+ "special": false
373
+ },
374
+ "50298": {
375
+ "content": "<|im_end|>",
376
+ "lstrip": false,
377
+ "normalized": false,
378
+ "rstrip": false,
379
+ "single_word": false,
380
+ "special": false
381
+ }
382
+ },
383
+ "bos_token": "<|endoftext|>",
384
+ "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful assistant.' %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in loop_messages %}{% if loop.index0 == 0 %}{{'<|im_start|>system\n' + system_message + '<|im_end|>\n'}}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
385
+ "clean_up_tokenization_spaces": true,
386
+ "eos_token": "<|endoftext|>",
387
+ "map_device": "auto",
388
+ "model_max_length": 4096,
389
+ "pad_token": "<|endoftext|>",
390
+ "tokenizer_class": "GPTNeoXTokenizer",
391
+ "unk_token": "<|endoftext|>"
392
+ }
checkpoint-350/trainer_state.json ADDED
@@ -0,0 +1,250 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.3111111111111111,
5
+ "eval_steps": 50,
6
+ "global_step": 350,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.044444444444444446,
13
+ "grad_norm": 49.98692321777344,
14
+ "learning_rate": 5e-07,
15
+ "logits/chosen": -1.6455594301223755,
16
+ "logits/rejected": -1.8609813451766968,
17
+ "logps/chosen": -69.99601745605469,
18
+ "logps/rejected": -28.68402099609375,
19
+ "loss": 0.4811,
20
+ "rewards/accuracies": 0.9200000166893005,
21
+ "rewards/chosen": 0.43002215027809143,
22
+ "rewards/margins": 0.5248908400535583,
23
+ "rewards/rejected": -0.09486865252256393,
24
+ "step": 50
25
+ },
26
+ {
27
+ "epoch": 0.044444444444444446,
28
+ "eval_logits/chosen": -1.683065414428711,
29
+ "eval_logits/rejected": -1.8381606340408325,
30
+ "eval_logps/chosen": -65.2982406616211,
31
+ "eval_logps/rejected": -31.1202335357666,
32
+ "eval_loss": 0.26570644974708557,
33
+ "eval_rewards/accuracies": 1.0,
34
+ "eval_rewards/chosen": 0.9695585370063782,
35
+ "eval_rewards/margins": 1.199601650238037,
36
+ "eval_rewards/rejected": -0.23004300892353058,
37
+ "eval_runtime": 547.5928,
38
+ "eval_samples_per_second": 0.51,
39
+ "eval_steps_per_second": 0.51,
40
+ "step": 50
41
+ },
42
+ {
43
+ "epoch": 0.08888888888888889,
44
+ "grad_norm": 18.30071449279785,
45
+ "learning_rate": 5e-07,
46
+ "logits/chosen": -1.7492402791976929,
47
+ "logits/rejected": -1.8840913772583008,
48
+ "logps/chosen": -62.02247619628906,
49
+ "logps/rejected": -31.541664123535156,
50
+ "loss": 0.1648,
51
+ "rewards/accuracies": 1.0,
52
+ "rewards/chosen": 1.368556022644043,
53
+ "rewards/margins": 1.8034323453903198,
54
+ "rewards/rejected": -0.4348761737346649,
55
+ "step": 100
56
+ },
57
+ {
58
+ "epoch": 0.08888888888888889,
59
+ "eval_logits/chosen": -1.717586636543274,
60
+ "eval_logits/rejected": -1.840760588645935,
61
+ "eval_logps/chosen": -57.23891067504883,
62
+ "eval_logps/rejected": -35.770687103271484,
63
+ "eval_loss": 0.0847974419593811,
64
+ "eval_rewards/accuracies": 1.0,
65
+ "eval_rewards/chosen": 1.77549147605896,
66
+ "eval_rewards/margins": 2.4705796241760254,
67
+ "eval_rewards/rejected": -0.6950880885124207,
68
+ "eval_runtime": 547.9305,
69
+ "eval_samples_per_second": 0.509,
70
+ "eval_steps_per_second": 0.509,
71
+ "step": 100
72
+ },
73
+ {
74
+ "epoch": 0.13333333333333333,
75
+ "grad_norm": 6.001527309417725,
76
+ "learning_rate": 5e-07,
77
+ "logits/chosen": -1.753422498703003,
78
+ "logits/rejected": -1.856553316116333,
79
+ "logps/chosen": -55.98763656616211,
80
+ "logps/rejected": -39.17717361450195,
81
+ "loss": 0.0522,
82
+ "rewards/accuracies": 1.0,
83
+ "rewards/chosen": 2.045351266860962,
84
+ "rewards/margins": 3.051741361618042,
85
+ "rewards/rejected": -1.00639009475708,
86
+ "step": 150
87
+ },
88
+ {
89
+ "epoch": 0.13333333333333333,
90
+ "eval_logits/chosen": -1.7338056564331055,
91
+ "eval_logits/rejected": -1.838354229927063,
92
+ "eval_logps/chosen": -51.332515716552734,
93
+ "eval_logps/rejected": -42.16679382324219,
94
+ "eval_loss": 0.026723211631178856,
95
+ "eval_rewards/accuracies": 1.0,
96
+ "eval_rewards/chosen": 2.366131067276001,
97
+ "eval_rewards/margins": 3.7008297443389893,
98
+ "eval_rewards/rejected": -1.3346984386444092,
99
+ "eval_runtime": 548.2166,
100
+ "eval_samples_per_second": 0.509,
101
+ "eval_steps_per_second": 0.509,
102
+ "step": 150
103
+ },
104
+ {
105
+ "epoch": 0.17777777777777778,
106
+ "grad_norm": 3.3345212936401367,
107
+ "learning_rate": 5e-07,
108
+ "logits/chosen": -1.7408527135849,
109
+ "logits/rejected": -1.8468482494354248,
110
+ "logps/chosen": -51.4506721496582,
111
+ "logps/rejected": -46.23123550415039,
112
+ "loss": 0.0157,
113
+ "rewards/accuracies": 1.0,
114
+ "rewards/chosen": 2.529080867767334,
115
+ "rewards/margins": 4.344725131988525,
116
+ "rewards/rejected": -1.8156436681747437,
117
+ "step": 200
118
+ },
119
+ {
120
+ "epoch": 0.17777777777777778,
121
+ "eval_logits/chosen": -1.744242787361145,
122
+ "eval_logits/rejected": -1.8309202194213867,
123
+ "eval_logps/chosen": -47.80553436279297,
124
+ "eval_logps/rejected": -54.1657600402832,
125
+ "eval_loss": 0.006161259487271309,
126
+ "eval_rewards/accuracies": 1.0,
127
+ "eval_rewards/chosen": 2.7188286781311035,
128
+ "eval_rewards/margins": 5.253425121307373,
129
+ "eval_rewards/rejected": -2.5345959663391113,
130
+ "eval_runtime": 548.15,
131
+ "eval_samples_per_second": 0.509,
132
+ "eval_steps_per_second": 0.509,
133
+ "step": 200
134
+ },
135
+ {
136
+ "epoch": 0.2222222222222222,
137
+ "grad_norm": 0.14823301136493683,
138
+ "learning_rate": 5e-07,
139
+ "logits/chosen": -1.747748851776123,
140
+ "logits/rejected": -1.8711057901382446,
141
+ "logps/chosen": -48.346378326416016,
142
+ "logps/rejected": -64.187744140625,
143
+ "loss": 0.0026,
144
+ "rewards/accuracies": 1.0,
145
+ "rewards/chosen": 2.810575485229492,
146
+ "rewards/margins": 6.410886764526367,
147
+ "rewards/rejected": -3.600311040878296,
148
+ "step": 250
149
+ },
150
+ {
151
+ "epoch": 0.2222222222222222,
152
+ "eval_logits/chosen": -1.7560131549835205,
153
+ "eval_logits/rejected": -1.8139592409133911,
154
+ "eval_logps/chosen": -46.13553237915039,
155
+ "eval_logps/rejected": -74.509765625,
156
+ "eval_loss": 0.0008142033475451171,
157
+ "eval_rewards/accuracies": 1.0,
158
+ "eval_rewards/chosen": 2.885828733444214,
159
+ "eval_rewards/margins": 7.454825401306152,
160
+ "eval_rewards/rejected": -4.568996429443359,
161
+ "eval_runtime": 548.1607,
162
+ "eval_samples_per_second": 0.509,
163
+ "eval_steps_per_second": 0.509,
164
+ "step": 250
165
+ },
166
+ {
167
+ "epoch": 0.26666666666666666,
168
+ "grad_norm": 0.07440608739852905,
169
+ "learning_rate": 5e-07,
170
+ "logits/chosen": -1.7455374002456665,
171
+ "logits/rejected": -1.8116660118103027,
172
+ "logps/chosen": -47.130027770996094,
173
+ "logps/rejected": -80.37494659423828,
174
+ "loss": 0.0005,
175
+ "rewards/accuracies": 1.0,
176
+ "rewards/chosen": 2.917734384536743,
177
+ "rewards/margins": 8.058551788330078,
178
+ "rewards/rejected": -5.140817642211914,
179
+ "step": 300
180
+ },
181
+ {
182
+ "epoch": 0.26666666666666666,
183
+ "eval_logits/chosen": -1.7649332284927368,
184
+ "eval_logits/rejected": -1.8052014112472534,
185
+ "eval_logps/chosen": -45.18332290649414,
186
+ "eval_logps/rejected": -84.715576171875,
187
+ "eval_loss": 0.0003367140598129481,
188
+ "eval_rewards/accuracies": 1.0,
189
+ "eval_rewards/chosen": 2.9810502529144287,
190
+ "eval_rewards/margins": 8.570627212524414,
191
+ "eval_rewards/rejected": -5.589577674865723,
192
+ "eval_runtime": 548.0227,
193
+ "eval_samples_per_second": 0.509,
194
+ "eval_steps_per_second": 0.509,
195
+ "step": 300
196
+ },
197
+ {
198
+ "epoch": 0.3111111111111111,
199
+ "grad_norm": 0.23535361886024475,
200
+ "learning_rate": 5e-07,
201
+ "logits/chosen": -1.7623131275177002,
202
+ "logits/rejected": -1.8129371404647827,
203
+ "logps/chosen": -47.72771072387695,
204
+ "logps/rejected": -87.96331787109375,
205
+ "loss": 0.0003,
206
+ "rewards/accuracies": 1.0,
207
+ "rewards/chosen": 2.999173879623413,
208
+ "rewards/margins": 8.857995986938477,
209
+ "rewards/rejected": -5.858822822570801,
210
+ "step": 350
211
+ },
212
+ {
213
+ "epoch": 0.3111111111111111,
214
+ "eval_logits/chosen": -1.768768310546875,
215
+ "eval_logits/rejected": -1.7995201349258423,
216
+ "eval_logps/chosen": -44.72746276855469,
217
+ "eval_logps/rejected": -90.03182220458984,
218
+ "eval_loss": 0.0002303781802766025,
219
+ "eval_rewards/accuracies": 1.0,
220
+ "eval_rewards/chosen": 3.0266363620758057,
221
+ "eval_rewards/margins": 9.14783763885498,
222
+ "eval_rewards/rejected": -6.121201992034912,
223
+ "eval_runtime": 538.111,
224
+ "eval_samples_per_second": 0.518,
225
+ "eval_steps_per_second": 0.518,
226
+ "step": 350
227
+ }
228
+ ],
229
+ "logging_steps": 50,
230
+ "max_steps": 1125,
231
+ "num_input_tokens_seen": 0,
232
+ "num_train_epochs": 1,
233
+ "save_steps": 50,
234
+ "stateful_callbacks": {
235
+ "TrainerControl": {
236
+ "args": {
237
+ "should_epoch_stop": false,
238
+ "should_evaluate": false,
239
+ "should_log": false,
240
+ "should_save": true,
241
+ "should_training_stop": false
242
+ },
243
+ "attributes": {}
244
+ }
245
+ },
246
+ "total_flos": 0.0,
247
+ "train_batch_size": 1,
248
+ "trial_name": null,
249
+ "trial_params": null
250
+ }
checkpoint-350/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b6408b0794b919256117d7e90dd83836045cb18c7dfeef9e45fe9899a0fe6f3
3
+ size 6072