tmnam20 commited on
Commit
c3915c6
1 Parent(s): 70a8d52

Training in progress, step 22000, checkpoint

Browse files
checkpoint-22000/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<bos>": 40478,
3
+ "<eos>": 40479,
4
+ "<pad>": 40480
5
+ }
checkpoint-22000/config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "openai-gpt",
3
+ "afn": "gelu",
4
+ "architectures": [
5
+ "OpenAIGPTForSequenceClassification"
6
+ ],
7
+ "attn_pdrop": 0.1,
8
+ "embd_pdrop": 0.1,
9
+ "id2label": {
10
+ "0": "entailment",
11
+ "1": "neutral",
12
+ "2": "contradiction"
13
+ },
14
+ "initializer_range": 0.02,
15
+ "label2id": {
16
+ "contradiction": 2,
17
+ "entailment": 0,
18
+ "neutral": 1
19
+ },
20
+ "layer_norm_epsilon": 1e-05,
21
+ "model_type": "openai-gpt",
22
+ "n_ctx": 512,
23
+ "n_embd": 768,
24
+ "n_head": 12,
25
+ "n_layer": 12,
26
+ "n_positions": 512,
27
+ "n_special": 0,
28
+ "pad_token_id": 40480,
29
+ "predict_special_tokens": true,
30
+ "problem_type": "single_label_classification",
31
+ "resid_pdrop": 0.1,
32
+ "summary_activation": null,
33
+ "summary_first_dropout": 0.1,
34
+ "summary_proj_to_labels": true,
35
+ "summary_type": "last",
36
+ "summary_use_proj": true,
37
+ "task_specific_params": {
38
+ "text-generation": {
39
+ "do_sample": true,
40
+ "max_length": 50
41
+ }
42
+ },
43
+ "torch_dtype": "float32",
44
+ "transformers_version": "4.33.0.dev0",
45
+ "vocab_size": 40481
46
+ }
checkpoint-22000/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-22000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc9abcc57d9b50c3b075b0999c8721c0673a2a43426c1a795180dcd25b79e9f6
3
+ size 932401285
checkpoint-22000/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b81ed8689f3c0d488eee17cd7ec13eb6166cb0eb5a3a1162444fd0e57e382431
3
+ size 466205145
checkpoint-22000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27f4718f7c3cf13f78e63272532a7381cea15a1e508360de5b3258d33f60b4f2
3
+ size 14575
checkpoint-22000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0e695ab7acafb3e330b04beefc41e254066a84681ed6df346c547422d4fbd16
3
+ size 627
checkpoint-22000/special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<bos>",
3
+ "eos_token": "<eos>",
4
+ "pad_token": "<pad>",
5
+ "unk_token": "<unk>"
6
+ }
checkpoint-22000/tokenizer_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "clean_up_tokenization_spaces": true,
3
+ "model_max_length": 512,
4
+ "padding_side": "left",
5
+ "tokenizer_class": "OpenAIGPTTokenizer",
6
+ "unk_token": "<unk>"
7
+ }
checkpoint-22000/trainer_state.json ADDED
@@ -0,0 +1,355 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0576634407043457,
3
+ "best_model_checkpoint": "/kaggle/output/checkpoint-22000",
4
+ "epoch": 0.8963494132985659,
5
+ "eval_steps": 1000,
6
+ "global_step": 22000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 2.7777777777777777e-11,
14
+ "loss": 1.029,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.04,
19
+ "learning_rate": 2.7638888888888893e-08,
20
+ "loss": 1.181,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.04,
25
+ "eval_accuracy": 0.3273453093812375,
26
+ "eval_loss": 1.1529844999313354,
27
+ "eval_runtime": 54.2837,
28
+ "eval_samples_per_second": 92.293,
29
+ "eval_steps_per_second": 11.55,
30
+ "step": 1000
31
+ },
32
+ {
33
+ "epoch": 0.08,
34
+ "learning_rate": 5.541666666666667e-08,
35
+ "loss": 1.1527,
36
+ "step": 2000
37
+ },
38
+ {
39
+ "epoch": 0.08,
40
+ "eval_accuracy": 0.33013972055888224,
41
+ "eval_loss": 1.1351025104522705,
42
+ "eval_runtime": 54.0518,
43
+ "eval_samples_per_second": 92.689,
44
+ "eval_steps_per_second": 11.6,
45
+ "step": 2000
46
+ },
47
+ {
48
+ "epoch": 0.12,
49
+ "learning_rate": 8.316666666666666e-08,
50
+ "loss": 1.142,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.12,
55
+ "eval_accuracy": 0.3317365269461078,
56
+ "eval_loss": 1.127414345741272,
57
+ "eval_runtime": 54.0871,
58
+ "eval_samples_per_second": 92.628,
59
+ "eval_steps_per_second": 11.592,
60
+ "step": 3000
61
+ },
62
+ {
63
+ "epoch": 0.16,
64
+ "learning_rate": 1.1091666666666668e-07,
65
+ "loss": 1.1371,
66
+ "step": 4000
67
+ },
68
+ {
69
+ "epoch": 0.16,
70
+ "eval_accuracy": 0.331936127744511,
71
+ "eval_loss": 1.1194497346878052,
72
+ "eval_runtime": 54.3907,
73
+ "eval_samples_per_second": 92.111,
74
+ "eval_steps_per_second": 11.528,
75
+ "step": 4000
76
+ },
77
+ {
78
+ "epoch": 0.2,
79
+ "learning_rate": 1.3869444444444447e-07,
80
+ "loss": 1.1246,
81
+ "step": 5000
82
+ },
83
+ {
84
+ "epoch": 0.2,
85
+ "eval_accuracy": 0.3345309381237525,
86
+ "eval_loss": 1.1131775379180908,
87
+ "eval_runtime": 54.3492,
88
+ "eval_samples_per_second": 92.182,
89
+ "eval_steps_per_second": 11.537,
90
+ "step": 5000
91
+ },
92
+ {
93
+ "epoch": 0.24,
94
+ "learning_rate": 1.664722222222222e-07,
95
+ "loss": 1.1201,
96
+ "step": 6000
97
+ },
98
+ {
99
+ "epoch": 0.24,
100
+ "eval_accuracy": 0.34151696606786425,
101
+ "eval_loss": 1.1093512773513794,
102
+ "eval_runtime": 54.3536,
103
+ "eval_samples_per_second": 92.174,
104
+ "eval_steps_per_second": 11.536,
105
+ "step": 6000
106
+ },
107
+ {
108
+ "epoch": 0.29,
109
+ "learning_rate": 1.9425e-07,
110
+ "loss": 1.115,
111
+ "step": 7000
112
+ },
113
+ {
114
+ "epoch": 0.29,
115
+ "eval_accuracy": 0.34510978043912177,
116
+ "eval_loss": 1.1066845655441284,
117
+ "eval_runtime": 53.9977,
118
+ "eval_samples_per_second": 92.782,
119
+ "eval_steps_per_second": 11.612,
120
+ "step": 7000
121
+ },
122
+ {
123
+ "epoch": 0.33,
124
+ "learning_rate": 2.2202777777777778e-07,
125
+ "loss": 1.1125,
126
+ "step": 8000
127
+ },
128
+ {
129
+ "epoch": 0.33,
130
+ "eval_accuracy": 0.3449101796407186,
131
+ "eval_loss": 1.1031057834625244,
132
+ "eval_runtime": 54.2562,
133
+ "eval_samples_per_second": 92.34,
134
+ "eval_steps_per_second": 11.556,
135
+ "step": 8000
136
+ },
137
+ {
138
+ "epoch": 0.37,
139
+ "learning_rate": 2.498055555555556e-07,
140
+ "loss": 1.1072,
141
+ "step": 9000
142
+ },
143
+ {
144
+ "epoch": 0.37,
145
+ "eval_accuracy": 0.34870259481037924,
146
+ "eval_loss": 1.1044224500656128,
147
+ "eval_runtime": 54.0795,
148
+ "eval_samples_per_second": 92.641,
149
+ "eval_steps_per_second": 11.594,
150
+ "step": 9000
151
+ },
152
+ {
153
+ "epoch": 0.41,
154
+ "learning_rate": 2.7755555555555554e-07,
155
+ "loss": 1.1064,
156
+ "step": 10000
157
+ },
158
+ {
159
+ "epoch": 0.41,
160
+ "eval_accuracy": 0.3499001996007984,
161
+ "eval_loss": 1.1001031398773193,
162
+ "eval_runtime": 54.0869,
163
+ "eval_samples_per_second": 92.629,
164
+ "eval_steps_per_second": 11.592,
165
+ "step": 10000
166
+ },
167
+ {
168
+ "epoch": 0.45,
169
+ "learning_rate": 3.053333333333333e-07,
170
+ "loss": 1.1053,
171
+ "step": 11000
172
+ },
173
+ {
174
+ "epoch": 0.45,
175
+ "eval_accuracy": 0.36087824351297404,
176
+ "eval_loss": 1.0987293720245361,
177
+ "eval_runtime": 53.9688,
178
+ "eval_samples_per_second": 92.831,
179
+ "eval_steps_per_second": 11.618,
180
+ "step": 11000
181
+ },
182
+ {
183
+ "epoch": 0.49,
184
+ "learning_rate": 3.3311111111111114e-07,
185
+ "loss": 1.104,
186
+ "step": 12000
187
+ },
188
+ {
189
+ "epoch": 0.49,
190
+ "eval_accuracy": 0.3594810379241517,
191
+ "eval_loss": 1.0968631505966187,
192
+ "eval_runtime": 54.0936,
193
+ "eval_samples_per_second": 92.617,
194
+ "eval_steps_per_second": 11.591,
195
+ "step": 12000
196
+ },
197
+ {
198
+ "epoch": 0.53,
199
+ "learning_rate": 3.608888888888889e-07,
200
+ "loss": 1.1022,
201
+ "step": 13000
202
+ },
203
+ {
204
+ "epoch": 0.53,
205
+ "eval_accuracy": 0.36087824351297404,
206
+ "eval_loss": 1.0962979793548584,
207
+ "eval_runtime": 54.0403,
208
+ "eval_samples_per_second": 92.709,
209
+ "eval_steps_per_second": 11.602,
210
+ "step": 13000
211
+ },
212
+ {
213
+ "epoch": 0.57,
214
+ "learning_rate": 3.886666666666667e-07,
215
+ "loss": 1.1029,
216
+ "step": 14000
217
+ },
218
+ {
219
+ "epoch": 0.57,
220
+ "eval_accuracy": 0.3528942115768463,
221
+ "eval_loss": 1.0987964868545532,
222
+ "eval_runtime": 54.06,
223
+ "eval_samples_per_second": 92.675,
224
+ "eval_steps_per_second": 11.598,
225
+ "step": 14000
226
+ },
227
+ {
228
+ "epoch": 0.61,
229
+ "learning_rate": 4.163611111111111e-07,
230
+ "loss": 1.1011,
231
+ "step": 15000
232
+ },
233
+ {
234
+ "epoch": 0.61,
235
+ "eval_accuracy": 0.36926147704590817,
236
+ "eval_loss": 1.0941977500915527,
237
+ "eval_runtime": 54.0807,
238
+ "eval_samples_per_second": 92.639,
239
+ "eval_steps_per_second": 11.594,
240
+ "step": 15000
241
+ },
242
+ {
243
+ "epoch": 0.65,
244
+ "learning_rate": 4.441388888888889e-07,
245
+ "loss": 1.1004,
246
+ "step": 16000
247
+ },
248
+ {
249
+ "epoch": 0.65,
250
+ "eval_accuracy": 0.36866267465069863,
251
+ "eval_loss": 1.093828558921814,
252
+ "eval_runtime": 54.2208,
253
+ "eval_samples_per_second": 92.4,
254
+ "eval_steps_per_second": 11.564,
255
+ "step": 16000
256
+ },
257
+ {
258
+ "epoch": 0.69,
259
+ "learning_rate": 4.719166666666667e-07,
260
+ "loss": 1.0994,
261
+ "step": 17000
262
+ },
263
+ {
264
+ "epoch": 0.69,
265
+ "eval_accuracy": 0.36726546906187624,
266
+ "eval_loss": 1.093470811843872,
267
+ "eval_runtime": 54.2584,
268
+ "eval_samples_per_second": 92.336,
269
+ "eval_steps_per_second": 11.556,
270
+ "step": 17000
271
+ },
272
+ {
273
+ "epoch": 0.73,
274
+ "learning_rate": 4.996944444444445e-07,
275
+ "loss": 1.0993,
276
+ "step": 18000
277
+ },
278
+ {
279
+ "epoch": 0.73,
280
+ "eval_accuracy": 0.36327345309381237,
281
+ "eval_loss": 1.0935499668121338,
282
+ "eval_runtime": 54.0554,
283
+ "eval_samples_per_second": 92.683,
284
+ "eval_steps_per_second": 11.599,
285
+ "step": 18000
286
+ },
287
+ {
288
+ "epoch": 0.77,
289
+ "learning_rate": 5.274722222222222e-07,
290
+ "loss": 1.0981,
291
+ "step": 19000
292
+ },
293
+ {
294
+ "epoch": 0.77,
295
+ "eval_accuracy": 0.38682634730538923,
296
+ "eval_loss": 1.089295506477356,
297
+ "eval_runtime": 54.0761,
298
+ "eval_samples_per_second": 92.647,
299
+ "eval_steps_per_second": 11.595,
300
+ "step": 19000
301
+ },
302
+ {
303
+ "epoch": 0.81,
304
+ "learning_rate": 5.5525e-07,
305
+ "loss": 1.0979,
306
+ "step": 20000
307
+ },
308
+ {
309
+ "epoch": 0.81,
310
+ "eval_accuracy": 0.4167664670658683,
311
+ "eval_loss": 1.084443211555481,
312
+ "eval_runtime": 54.0394,
313
+ "eval_samples_per_second": 92.71,
314
+ "eval_steps_per_second": 11.603,
315
+ "step": 20000
316
+ },
317
+ {
318
+ "epoch": 0.86,
319
+ "learning_rate": 5.830000000000001e-07,
320
+ "loss": 1.0946,
321
+ "step": 21000
322
+ },
323
+ {
324
+ "epoch": 0.86,
325
+ "eval_accuracy": 0.4285429141716567,
326
+ "eval_loss": 1.073406457901001,
327
+ "eval_runtime": 54.1561,
328
+ "eval_samples_per_second": 92.51,
329
+ "eval_steps_per_second": 11.578,
330
+ "step": 21000
331
+ },
332
+ {
333
+ "epoch": 0.9,
334
+ "learning_rate": 6.107777777777778e-07,
335
+ "loss": 1.0882,
336
+ "step": 22000
337
+ },
338
+ {
339
+ "epoch": 0.9,
340
+ "eval_accuracy": 0.4413173652694611,
341
+ "eval_loss": 1.0576634407043457,
342
+ "eval_runtime": 53.9715,
343
+ "eval_samples_per_second": 92.827,
344
+ "eval_steps_per_second": 11.617,
345
+ "step": 22000
346
+ }
347
+ ],
348
+ "logging_steps": 1000,
349
+ "max_steps": 10000000,
350
+ "num_train_epochs": 408,
351
+ "save_steps": 1000,
352
+ "total_flos": 4.5987812868096e+16,
353
+ "trial_name": null,
354
+ "trial_params": null
355
+ }
checkpoint-22000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5520446b18da09f4a43173b75839457981a344c0e709fd4bbcb249e3f60c859e
3
+ size 4091
checkpoint-22000/vocab.json ADDED
The diff for this file is too large to render. See raw diff