rttl commited on
Commit
603e605
1 Parent(s): 43b07c3

Upload 10 files

Browse files
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/vera/Desktop/yelp-review/yelp-review-TAPT/checkpoint-857907",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 3072,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.22.0.dev0",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 30522
27
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be0862938f87bfda849d4c2fa201a3b02443eaaeeadb64726b1e2f547d8e3e31
3
+ size 875987165
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7dade9cc0031488a1df569071fd321bf49a46e05d8eb79c8480e7655e22f29d1
3
+ size 438006125
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe898705a99ff15be2ca965a7fbb3d182bd90619c74a099af5d47e32d49be96d
3
+ size 15523
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6993010cbe00ce9dbd4bedcdf7c7cf8f790641669906c1000b904ee2d64fecb5
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "do_basic_tokenize": true,
4
+ "do_lower_case": true,
5
+ "mask_token": "[MASK]",
6
+ "model_max_length": 512,
7
+ "name_or_path": "/home/vera/Desktop/yelp-review/yelp-review-TAPT/checkpoint-857907",
8
+ "never_split": null,
9
+ "pad_token": "[PAD]",
10
+ "sep_token": "[SEP]",
11
+ "special_tokens_map_file": null,
12
+ "strip_accents": null,
13
+ "tokenize_chinese_chars": true,
14
+ "tokenizer_class": "BertTokenizer",
15
+ "unk_token": "[UNK]",
16
+ "use_fast": true
17
+ }
trainer_state.json ADDED
@@ -0,0 +1,874 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.0,
5
+ "global_step": 70000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 2.0000000000000003e-06,
13
+ "loss": 0.5576,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.03,
18
+ "learning_rate": 4.000000000000001e-06,
19
+ "loss": 0.154,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.04,
24
+ "learning_rate": 6e-06,
25
+ "loss": 0.1118,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.06,
30
+ "learning_rate": 8.000000000000001e-06,
31
+ "loss": 0.112,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.07,
36
+ "learning_rate": 1e-05,
37
+ "loss": 0.113,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.09,
42
+ "learning_rate": 1.2e-05,
43
+ "loss": 0.1134,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.1,
48
+ "learning_rate": 1.4e-05,
49
+ "loss": 0.1183,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.11,
54
+ "learning_rate": 1.6000000000000003e-05,
55
+ "loss": 0.1133,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.13,
60
+ "learning_rate": 1.8e-05,
61
+ "loss": 0.1154,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.14,
66
+ "learning_rate": 2e-05,
67
+ "loss": 0.1111,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.16,
72
+ "learning_rate": 1.998561151079137e-05,
73
+ "loss": 0.125,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.17,
78
+ "learning_rate": 1.9971223021582734e-05,
79
+ "loss": 0.1178,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.19,
84
+ "learning_rate": 1.9956834532374104e-05,
85
+ "loss": 0.1077,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 0.2,
90
+ "learning_rate": 1.994244604316547e-05,
91
+ "loss": 0.109,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 0.21,
96
+ "learning_rate": 1.9928057553956836e-05,
97
+ "loss": 0.1001,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 0.23,
102
+ "learning_rate": 1.9913669064748202e-05,
103
+ "loss": 0.1065,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 0.24,
108
+ "learning_rate": 1.989928057553957e-05,
109
+ "loss": 0.1077,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 0.26,
114
+ "learning_rate": 1.9884892086330934e-05,
115
+ "loss": 0.1036,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 0.27,
120
+ "learning_rate": 1.9870503597122304e-05,
121
+ "loss": 0.1102,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 0.29,
126
+ "learning_rate": 1.985611510791367e-05,
127
+ "loss": 0.0962,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 0.3,
132
+ "learning_rate": 1.9841726618705036e-05,
133
+ "loss": 0.1148,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 0.31,
138
+ "learning_rate": 1.9827338129496406e-05,
139
+ "loss": 0.1088,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 0.33,
144
+ "learning_rate": 1.9812949640287772e-05,
145
+ "loss": 0.1042,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 0.34,
150
+ "learning_rate": 1.9798561151079138e-05,
151
+ "loss": 0.0956,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 0.36,
156
+ "learning_rate": 1.9784172661870504e-05,
157
+ "loss": 0.1015,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 0.37,
162
+ "learning_rate": 1.9769784172661874e-05,
163
+ "loss": 0.1113,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 0.39,
168
+ "learning_rate": 1.975539568345324e-05,
169
+ "loss": 0.1032,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 0.4,
174
+ "learning_rate": 1.9741007194244606e-05,
175
+ "loss": 0.0984,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 0.41,
180
+ "learning_rate": 1.9726618705035972e-05,
181
+ "loss": 0.1059,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 0.43,
186
+ "learning_rate": 1.971223021582734e-05,
187
+ "loss": 0.1041,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 0.44,
192
+ "learning_rate": 1.9697841726618708e-05,
193
+ "loss": 0.1035,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 0.46,
198
+ "learning_rate": 1.9683453237410074e-05,
199
+ "loss": 0.0931,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 0.47,
204
+ "learning_rate": 1.966906474820144e-05,
205
+ "loss": 0.1025,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 0.49,
210
+ "learning_rate": 1.9654676258992807e-05,
211
+ "loss": 0.0967,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 0.5,
216
+ "learning_rate": 1.9640287769784173e-05,
217
+ "loss": 0.0936,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 0.51,
222
+ "learning_rate": 1.9625899280575542e-05,
223
+ "loss": 0.0947,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 0.53,
228
+ "learning_rate": 1.961151079136691e-05,
229
+ "loss": 0.0959,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 0.54,
234
+ "learning_rate": 1.9597122302158275e-05,
235
+ "loss": 0.093,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 0.56,
240
+ "learning_rate": 1.958273381294964e-05,
241
+ "loss": 0.0976,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 0.57,
246
+ "learning_rate": 1.956834532374101e-05,
247
+ "loss": 0.1014,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 0.59,
252
+ "learning_rate": 1.9553956834532377e-05,
253
+ "loss": 0.0935,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 0.6,
258
+ "learning_rate": 1.9539568345323743e-05,
259
+ "loss": 0.1038,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 0.61,
264
+ "learning_rate": 1.952517985611511e-05,
265
+ "loss": 0.1059,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 0.63,
270
+ "learning_rate": 1.9510791366906475e-05,
271
+ "loss": 0.0937,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 0.64,
276
+ "learning_rate": 1.9496402877697845e-05,
277
+ "loss": 0.0965,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 0.66,
282
+ "learning_rate": 1.948201438848921e-05,
283
+ "loss": 0.1054,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 0.67,
288
+ "learning_rate": 1.9467625899280577e-05,
289
+ "loss": 0.0966,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 0.69,
294
+ "learning_rate": 1.9453237410071943e-05,
295
+ "loss": 0.0952,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 0.7,
300
+ "learning_rate": 1.9438848920863313e-05,
301
+ "loss": 0.0954,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 0.71,
306
+ "learning_rate": 1.9424460431654675e-05,
307
+ "loss": 0.1044,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 0.73,
312
+ "learning_rate": 1.9410071942446045e-05,
313
+ "loss": 0.1026,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 0.74,
318
+ "learning_rate": 1.939568345323741e-05,
319
+ "loss": 0.0891,
320
+ "step": 26000
321
+ },
322
+ {
323
+ "epoch": 0.76,
324
+ "learning_rate": 1.9381294964028777e-05,
325
+ "loss": 0.092,
326
+ "step": 26500
327
+ },
328
+ {
329
+ "epoch": 0.77,
330
+ "learning_rate": 1.9366906474820147e-05,
331
+ "loss": 0.0913,
332
+ "step": 27000
333
+ },
334
+ {
335
+ "epoch": 0.79,
336
+ "learning_rate": 1.9352517985611513e-05,
337
+ "loss": 0.0901,
338
+ "step": 27500
339
+ },
340
+ {
341
+ "epoch": 0.8,
342
+ "learning_rate": 1.933812949640288e-05,
343
+ "loss": 0.1018,
344
+ "step": 28000
345
+ },
346
+ {
347
+ "epoch": 0.81,
348
+ "learning_rate": 1.9323741007194245e-05,
349
+ "loss": 0.0927,
350
+ "step": 28500
351
+ },
352
+ {
353
+ "epoch": 0.83,
354
+ "learning_rate": 1.9309352517985615e-05,
355
+ "loss": 0.096,
356
+ "step": 29000
357
+ },
358
+ {
359
+ "epoch": 0.84,
360
+ "learning_rate": 1.9294964028776978e-05,
361
+ "loss": 0.0945,
362
+ "step": 29500
363
+ },
364
+ {
365
+ "epoch": 0.86,
366
+ "learning_rate": 1.9280575539568347e-05,
367
+ "loss": 0.0918,
368
+ "step": 30000
369
+ },
370
+ {
371
+ "epoch": 0.87,
372
+ "learning_rate": 1.9266187050359713e-05,
373
+ "loss": 0.0929,
374
+ "step": 30500
375
+ },
376
+ {
377
+ "epoch": 0.89,
378
+ "learning_rate": 1.925179856115108e-05,
379
+ "loss": 0.0975,
380
+ "step": 31000
381
+ },
382
+ {
383
+ "epoch": 0.9,
384
+ "learning_rate": 1.923741007194245e-05,
385
+ "loss": 0.0944,
386
+ "step": 31500
387
+ },
388
+ {
389
+ "epoch": 0.91,
390
+ "learning_rate": 1.9223021582733815e-05,
391
+ "loss": 0.0911,
392
+ "step": 32000
393
+ },
394
+ {
395
+ "epoch": 0.93,
396
+ "learning_rate": 1.920863309352518e-05,
397
+ "loss": 0.0974,
398
+ "step": 32500
399
+ },
400
+ {
401
+ "epoch": 0.94,
402
+ "learning_rate": 1.9194244604316548e-05,
403
+ "loss": 0.0914,
404
+ "step": 33000
405
+ },
406
+ {
407
+ "epoch": 0.96,
408
+ "learning_rate": 1.9179856115107914e-05,
409
+ "loss": 0.0915,
410
+ "step": 33500
411
+ },
412
+ {
413
+ "epoch": 0.97,
414
+ "learning_rate": 1.916546762589928e-05,
415
+ "loss": 0.092,
416
+ "step": 34000
417
+ },
418
+ {
419
+ "epoch": 0.99,
420
+ "learning_rate": 1.915107913669065e-05,
421
+ "loss": 0.0924,
422
+ "step": 34500
423
+ },
424
+ {
425
+ "epoch": 1.0,
426
+ "learning_rate": 1.9136690647482016e-05,
427
+ "loss": 0.0884,
428
+ "step": 35000
429
+ },
430
+ {
431
+ "epoch": 1.0,
432
+ "eval_accuracy": 0.9749736842105263,
433
+ "eval_loss": 0.09605808556079865,
434
+ "eval_runtime": 105.081,
435
+ "eval_samples_per_second": 361.626,
436
+ "eval_steps_per_second": 22.602,
437
+ "step": 35000
438
+ },
439
+ {
440
+ "epoch": 1.01,
441
+ "learning_rate": 1.9122302158273382e-05,
442
+ "loss": 0.064,
443
+ "step": 35500
444
+ },
445
+ {
446
+ "epoch": 1.03,
447
+ "learning_rate": 1.910791366906475e-05,
448
+ "loss": 0.0677,
449
+ "step": 36000
450
+ },
451
+ {
452
+ "epoch": 1.04,
453
+ "learning_rate": 1.9093525179856118e-05,
454
+ "loss": 0.0711,
455
+ "step": 36500
456
+ },
457
+ {
458
+ "epoch": 1.06,
459
+ "learning_rate": 1.9079136690647484e-05,
460
+ "loss": 0.0651,
461
+ "step": 37000
462
+ },
463
+ {
464
+ "epoch": 1.07,
465
+ "learning_rate": 1.906474820143885e-05,
466
+ "loss": 0.0649,
467
+ "step": 37500
468
+ },
469
+ {
470
+ "epoch": 1.09,
471
+ "learning_rate": 1.9050359712230216e-05,
472
+ "loss": 0.0691,
473
+ "step": 38000
474
+ },
475
+ {
476
+ "epoch": 1.1,
477
+ "learning_rate": 1.9035971223021586e-05,
478
+ "loss": 0.0715,
479
+ "step": 38500
480
+ },
481
+ {
482
+ "epoch": 1.11,
483
+ "learning_rate": 1.9021582733812952e-05,
484
+ "loss": 0.0709,
485
+ "step": 39000
486
+ },
487
+ {
488
+ "epoch": 1.13,
489
+ "learning_rate": 1.9007194244604318e-05,
490
+ "loss": 0.0717,
491
+ "step": 39500
492
+ },
493
+ {
494
+ "epoch": 1.14,
495
+ "learning_rate": 1.8992805755395684e-05,
496
+ "loss": 0.0728,
497
+ "step": 40000
498
+ },
499
+ {
500
+ "epoch": 1.16,
501
+ "learning_rate": 1.8978417266187054e-05,
502
+ "loss": 0.0717,
503
+ "step": 40500
504
+ },
505
+ {
506
+ "epoch": 1.17,
507
+ "learning_rate": 1.8964028776978416e-05,
508
+ "loss": 0.0761,
509
+ "step": 41000
510
+ },
511
+ {
512
+ "epoch": 1.19,
513
+ "learning_rate": 1.8949640287769786e-05,
514
+ "loss": 0.0611,
515
+ "step": 41500
516
+ },
517
+ {
518
+ "epoch": 1.2,
519
+ "learning_rate": 1.8935251798561152e-05,
520
+ "loss": 0.0755,
521
+ "step": 42000
522
+ },
523
+ {
524
+ "epoch": 1.21,
525
+ "learning_rate": 1.892086330935252e-05,
526
+ "loss": 0.0711,
527
+ "step": 42500
528
+ },
529
+ {
530
+ "epoch": 1.23,
531
+ "learning_rate": 1.8906474820143888e-05,
532
+ "loss": 0.0729,
533
+ "step": 43000
534
+ },
535
+ {
536
+ "epoch": 1.24,
537
+ "learning_rate": 1.8892086330935254e-05,
538
+ "loss": 0.0677,
539
+ "step": 43500
540
+ },
541
+ {
542
+ "epoch": 1.26,
543
+ "learning_rate": 1.887769784172662e-05,
544
+ "loss": 0.0782,
545
+ "step": 44000
546
+ },
547
+ {
548
+ "epoch": 1.27,
549
+ "learning_rate": 1.8863309352517986e-05,
550
+ "loss": 0.0688,
551
+ "step": 44500
552
+ },
553
+ {
554
+ "epoch": 1.29,
555
+ "learning_rate": 1.8848920863309356e-05,
556
+ "loss": 0.0651,
557
+ "step": 45000
558
+ },
559
+ {
560
+ "epoch": 1.3,
561
+ "learning_rate": 1.883453237410072e-05,
562
+ "loss": 0.071,
563
+ "step": 45500
564
+ },
565
+ {
566
+ "epoch": 1.31,
567
+ "learning_rate": 1.8820143884892088e-05,
568
+ "loss": 0.0703,
569
+ "step": 46000
570
+ },
571
+ {
572
+ "epoch": 1.33,
573
+ "learning_rate": 1.8805755395683454e-05,
574
+ "loss": 0.0727,
575
+ "step": 46500
576
+ },
577
+ {
578
+ "epoch": 1.34,
579
+ "learning_rate": 1.879136690647482e-05,
580
+ "loss": 0.0709,
581
+ "step": 47000
582
+ },
583
+ {
584
+ "epoch": 1.36,
585
+ "learning_rate": 1.877697841726619e-05,
586
+ "loss": 0.0751,
587
+ "step": 47500
588
+ },
589
+ {
590
+ "epoch": 1.37,
591
+ "learning_rate": 1.8762589928057556e-05,
592
+ "loss": 0.0729,
593
+ "step": 48000
594
+ },
595
+ {
596
+ "epoch": 1.39,
597
+ "learning_rate": 1.8748201438848923e-05,
598
+ "loss": 0.0715,
599
+ "step": 48500
600
+ },
601
+ {
602
+ "epoch": 1.4,
603
+ "learning_rate": 1.873381294964029e-05,
604
+ "loss": 0.0721,
605
+ "step": 49000
606
+ },
607
+ {
608
+ "epoch": 1.41,
609
+ "learning_rate": 1.8719424460431658e-05,
610
+ "loss": 0.0725,
611
+ "step": 49500
612
+ },
613
+ {
614
+ "epoch": 1.43,
615
+ "learning_rate": 1.870503597122302e-05,
616
+ "loss": 0.0785,
617
+ "step": 50000
618
+ },
619
+ {
620
+ "epoch": 1.44,
621
+ "learning_rate": 1.869064748201439e-05,
622
+ "loss": 0.0795,
623
+ "step": 50500
624
+ },
625
+ {
626
+ "epoch": 1.46,
627
+ "learning_rate": 1.8676258992805757e-05,
628
+ "loss": 0.0659,
629
+ "step": 51000
630
+ },
631
+ {
632
+ "epoch": 1.47,
633
+ "learning_rate": 1.8661870503597123e-05,
634
+ "loss": 0.0718,
635
+ "step": 51500
636
+ },
637
+ {
638
+ "epoch": 1.49,
639
+ "learning_rate": 1.8647482014388492e-05,
640
+ "loss": 0.073,
641
+ "step": 52000
642
+ },
643
+ {
644
+ "epoch": 1.5,
645
+ "learning_rate": 1.863309352517986e-05,
646
+ "loss": 0.0777,
647
+ "step": 52500
648
+ },
649
+ {
650
+ "epoch": 1.51,
651
+ "learning_rate": 1.8618705035971225e-05,
652
+ "loss": 0.0763,
653
+ "step": 53000
654
+ },
655
+ {
656
+ "epoch": 1.53,
657
+ "learning_rate": 1.860431654676259e-05,
658
+ "loss": 0.0711,
659
+ "step": 53500
660
+ },
661
+ {
662
+ "epoch": 1.54,
663
+ "learning_rate": 1.8589928057553957e-05,
664
+ "loss": 0.0789,
665
+ "step": 54000
666
+ },
667
+ {
668
+ "epoch": 1.56,
669
+ "learning_rate": 1.8575539568345323e-05,
670
+ "loss": 0.0638,
671
+ "step": 54500
672
+ },
673
+ {
674
+ "epoch": 1.57,
675
+ "learning_rate": 1.8561151079136693e-05,
676
+ "loss": 0.0718,
677
+ "step": 55000
678
+ },
679
+ {
680
+ "epoch": 1.59,
681
+ "learning_rate": 1.854676258992806e-05,
682
+ "loss": 0.0811,
683
+ "step": 55500
684
+ },
685
+ {
686
+ "epoch": 1.6,
687
+ "learning_rate": 1.8532374100719425e-05,
688
+ "loss": 0.075,
689
+ "step": 56000
690
+ },
691
+ {
692
+ "epoch": 1.61,
693
+ "learning_rate": 1.8517985611510795e-05,
694
+ "loss": 0.0817,
695
+ "step": 56500
696
+ },
697
+ {
698
+ "epoch": 1.63,
699
+ "learning_rate": 1.850359712230216e-05,
700
+ "loss": 0.0712,
701
+ "step": 57000
702
+ },
703
+ {
704
+ "epoch": 1.64,
705
+ "learning_rate": 1.8489208633093527e-05,
706
+ "loss": 0.0727,
707
+ "step": 57500
708
+ },
709
+ {
710
+ "epoch": 1.66,
711
+ "learning_rate": 1.8474820143884893e-05,
712
+ "loss": 0.0774,
713
+ "step": 58000
714
+ },
715
+ {
716
+ "epoch": 1.67,
717
+ "learning_rate": 1.846043165467626e-05,
718
+ "loss": 0.079,
719
+ "step": 58500
720
+ },
721
+ {
722
+ "epoch": 1.69,
723
+ "learning_rate": 1.8446043165467626e-05,
724
+ "loss": 0.0712,
725
+ "step": 59000
726
+ },
727
+ {
728
+ "epoch": 1.7,
729
+ "learning_rate": 1.8431654676258995e-05,
730
+ "loss": 0.0782,
731
+ "step": 59500
732
+ },
733
+ {
734
+ "epoch": 1.71,
735
+ "learning_rate": 1.841726618705036e-05,
736
+ "loss": 0.0678,
737
+ "step": 60000
738
+ },
739
+ {
740
+ "epoch": 1.73,
741
+ "learning_rate": 1.8402877697841727e-05,
742
+ "loss": 0.0792,
743
+ "step": 60500
744
+ },
745
+ {
746
+ "epoch": 1.74,
747
+ "learning_rate": 1.8388489208633097e-05,
748
+ "loss": 0.0761,
749
+ "step": 61000
750
+ },
751
+ {
752
+ "epoch": 1.76,
753
+ "learning_rate": 1.837410071942446e-05,
754
+ "loss": 0.0775,
755
+ "step": 61500
756
+ },
757
+ {
758
+ "epoch": 1.77,
759
+ "learning_rate": 1.835971223021583e-05,
760
+ "loss": 0.069,
761
+ "step": 62000
762
+ },
763
+ {
764
+ "epoch": 1.79,
765
+ "learning_rate": 1.8345323741007196e-05,
766
+ "loss": 0.0823,
767
+ "step": 62500
768
+ },
769
+ {
770
+ "epoch": 1.8,
771
+ "learning_rate": 1.833093525179856e-05,
772
+ "loss": 0.0728,
773
+ "step": 63000
774
+ },
775
+ {
776
+ "epoch": 1.81,
777
+ "learning_rate": 1.8316546762589928e-05,
778
+ "loss": 0.07,
779
+ "step": 63500
780
+ },
781
+ {
782
+ "epoch": 1.83,
783
+ "learning_rate": 1.8302158273381297e-05,
784
+ "loss": 0.0747,
785
+ "step": 64000
786
+ },
787
+ {
788
+ "epoch": 1.84,
789
+ "learning_rate": 1.8287769784172664e-05,
790
+ "loss": 0.073,
791
+ "step": 64500
792
+ },
793
+ {
794
+ "epoch": 1.86,
795
+ "learning_rate": 1.827338129496403e-05,
796
+ "loss": 0.0711,
797
+ "step": 65000
798
+ },
799
+ {
800
+ "epoch": 1.87,
801
+ "learning_rate": 1.82589928057554e-05,
802
+ "loss": 0.0723,
803
+ "step": 65500
804
+ },
805
+ {
806
+ "epoch": 1.89,
807
+ "learning_rate": 1.8244604316546762e-05,
808
+ "loss": 0.0672,
809
+ "step": 66000
810
+ },
811
+ {
812
+ "epoch": 1.9,
813
+ "learning_rate": 1.823021582733813e-05,
814
+ "loss": 0.076,
815
+ "step": 66500
816
+ },
817
+ {
818
+ "epoch": 1.91,
819
+ "learning_rate": 1.8215827338129498e-05,
820
+ "loss": 0.0765,
821
+ "step": 67000
822
+ },
823
+ {
824
+ "epoch": 1.93,
825
+ "learning_rate": 1.8201438848920864e-05,
826
+ "loss": 0.0735,
827
+ "step": 67500
828
+ },
829
+ {
830
+ "epoch": 1.94,
831
+ "learning_rate": 1.8187050359712234e-05,
832
+ "loss": 0.079,
833
+ "step": 68000
834
+ },
835
+ {
836
+ "epoch": 1.96,
837
+ "learning_rate": 1.81726618705036e-05,
838
+ "loss": 0.0699,
839
+ "step": 68500
840
+ },
841
+ {
842
+ "epoch": 1.97,
843
+ "learning_rate": 1.8158273381294966e-05,
844
+ "loss": 0.0748,
845
+ "step": 69000
846
+ },
847
+ {
848
+ "epoch": 1.99,
849
+ "learning_rate": 1.8143884892086332e-05,
850
+ "loss": 0.0779,
851
+ "step": 69500
852
+ },
853
+ {
854
+ "epoch": 2.0,
855
+ "learning_rate": 1.8129496402877698e-05,
856
+ "loss": 0.0701,
857
+ "step": 70000
858
+ },
859
+ {
860
+ "epoch": 2.0,
861
+ "eval_accuracy": 0.975421052631579,
862
+ "eval_loss": 0.11228523403406143,
863
+ "eval_runtime": 104.8411,
864
+ "eval_samples_per_second": 362.453,
865
+ "eval_steps_per_second": 22.653,
866
+ "step": 70000
867
+ }
868
+ ],
869
+ "max_steps": 700000,
870
+ "num_train_epochs": 20,
871
+ "total_flos": 1.473421910016e+17,
872
+ "trial_name": null,
873
+ "trial_params": null
874
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0611f290d59ab8a8e08ed146f86ffca0f815b6d81637664526643abf1b0b179d
3
+ size 3439
vocab.txt ADDED
The diff for this file is too large to render. See raw diff