turalizada commited on
Commit
d9cd2ac
·
verified ·
1 Parent(s): 41754d8

Upload 8 files

Browse files
Files changed (8) hide show
  1. config.json +26 -0
  2. merges.txt +0 -0
  3. model.safetensors +3 -0
  4. rng_state.pth +3 -0
  5. scheduler.pt +3 -0
  6. trainer_state.json +501 -0
  7. training_args.bin +3 -0
  8. vocab.json +0 -0
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "RobertaForMaskedLM"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "bos_token_id": 0,
7
+ "classifier_dropout": null,
8
+ "eos_token_id": 2,
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": 1024,
16
+ "model_type": "roberta",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 6,
19
+ "pad_token_id": 1,
20
+ "position_embedding_type": "absolute",
21
+ "torch_dtype": "float32",
22
+ "transformers_version": "4.37.0.dev0",
23
+ "type_vocab_size": 1,
24
+ "use_cache": true,
25
+ "vocab_size": 300000
26
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b620d5bada9ade93191e0d8b062fb2944ba054a8710c0976e228df384bcdb1f7
3
+ size 1098445096
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e138e3331aae3e4a6ce55cddc28eccddd5bdfe34b1df9e844f32c924cd362f1
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82b83a39107cb08039bdcc3ab2d7018d894fa059e668a24e35da82d17c02cc09
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,501 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.918839153959666,
5
+ "eval_steps": 500,
6
+ "global_step": 40000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.06,
13
+ "learning_rate": 4.9385145105755044e-05,
14
+ "loss": 8.6111,
15
+ "step": 500
16
+ },
17
+ {
18
+ "epoch": 0.12,
19
+ "learning_rate": 4.8770290211510086e-05,
20
+ "loss": 8.9414,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.18,
25
+ "learning_rate": 4.815543531726513e-05,
26
+ "loss": 9.0231,
27
+ "step": 1500
28
+ },
29
+ {
30
+ "epoch": 0.25,
31
+ "learning_rate": 4.754058042302017e-05,
32
+ "loss": 8.756,
33
+ "step": 2000
34
+ },
35
+ {
36
+ "epoch": 0.31,
37
+ "learning_rate": 4.692572552877521e-05,
38
+ "loss": 8.6571,
39
+ "step": 2500
40
+ },
41
+ {
42
+ "epoch": 0.37,
43
+ "learning_rate": 4.631087063453025e-05,
44
+ "loss": 8.5083,
45
+ "step": 3000
46
+ },
47
+ {
48
+ "epoch": 0.43,
49
+ "learning_rate": 4.56960157402853e-05,
50
+ "loss": 8.4503,
51
+ "step": 3500
52
+ },
53
+ {
54
+ "epoch": 0.49,
55
+ "learning_rate": 4.5081160846040335e-05,
56
+ "loss": 8.3489,
57
+ "step": 4000
58
+ },
59
+ {
60
+ "epoch": 0.55,
61
+ "learning_rate": 4.4466305951795377e-05,
62
+ "loss": 8.2406,
63
+ "step": 4500
64
+ },
65
+ {
66
+ "epoch": 0.61,
67
+ "learning_rate": 4.385145105755042e-05,
68
+ "loss": 8.2487,
69
+ "step": 5000
70
+ },
71
+ {
72
+ "epoch": 0.68,
73
+ "learning_rate": 4.323659616330546e-05,
74
+ "loss": 8.1667,
75
+ "step": 5500
76
+ },
77
+ {
78
+ "epoch": 0.74,
79
+ "learning_rate": 4.262174126906051e-05,
80
+ "loss": 8.0874,
81
+ "step": 6000
82
+ },
83
+ {
84
+ "epoch": 0.8,
85
+ "learning_rate": 4.200688637481554e-05,
86
+ "loss": 8.0537,
87
+ "step": 6500
88
+ },
89
+ {
90
+ "epoch": 0.86,
91
+ "learning_rate": 4.1392031480570584e-05,
92
+ "loss": 8.0119,
93
+ "step": 7000
94
+ },
95
+ {
96
+ "epoch": 0.92,
97
+ "learning_rate": 4.0777176586325626e-05,
98
+ "loss": 7.94,
99
+ "step": 7500
100
+ },
101
+ {
102
+ "epoch": 0.98,
103
+ "learning_rate": 4.0162321692080674e-05,
104
+ "loss": 7.9435,
105
+ "step": 8000
106
+ },
107
+ {
108
+ "epoch": 1.05,
109
+ "learning_rate": 3.9547466797835716e-05,
110
+ "loss": 7.8516,
111
+ "step": 8500
112
+ },
113
+ {
114
+ "epoch": 1.11,
115
+ "learning_rate": 3.893261190359076e-05,
116
+ "loss": 7.7969,
117
+ "step": 9000
118
+ },
119
+ {
120
+ "epoch": 1.17,
121
+ "learning_rate": 3.831775700934579e-05,
122
+ "loss": 7.7974,
123
+ "step": 9500
124
+ },
125
+ {
126
+ "epoch": 1.23,
127
+ "learning_rate": 3.7702902115100834e-05,
128
+ "loss": 7.7728,
129
+ "step": 10000
130
+ },
131
+ {
132
+ "epoch": 1.29,
133
+ "learning_rate": 3.708804722085588e-05,
134
+ "loss": 7.6974,
135
+ "step": 10500
136
+ },
137
+ {
138
+ "epoch": 1.35,
139
+ "learning_rate": 3.6473192326610924e-05,
140
+ "loss": 7.6804,
141
+ "step": 11000
142
+ },
143
+ {
144
+ "epoch": 1.41,
145
+ "learning_rate": 3.5858337432365965e-05,
146
+ "loss": 7.676,
147
+ "step": 11500
148
+ },
149
+ {
150
+ "epoch": 1.48,
151
+ "learning_rate": 3.5243482538121e-05,
152
+ "loss": 7.6323,
153
+ "step": 12000
154
+ },
155
+ {
156
+ "epoch": 1.54,
157
+ "learning_rate": 3.462862764387605e-05,
158
+ "loss": 7.6116,
159
+ "step": 12500
160
+ },
161
+ {
162
+ "epoch": 1.6,
163
+ "learning_rate": 3.401377274963109e-05,
164
+ "loss": 7.574,
165
+ "step": 13000
166
+ },
167
+ {
168
+ "epoch": 1.66,
169
+ "learning_rate": 3.339891785538613e-05,
170
+ "loss": 7.5571,
171
+ "step": 13500
172
+ },
173
+ {
174
+ "epoch": 1.72,
175
+ "learning_rate": 3.278406296114117e-05,
176
+ "loss": 7.5299,
177
+ "step": 14000
178
+ },
179
+ {
180
+ "epoch": 1.78,
181
+ "learning_rate": 3.2169208066896215e-05,
182
+ "loss": 7.4822,
183
+ "step": 14500
184
+ },
185
+ {
186
+ "epoch": 1.84,
187
+ "learning_rate": 3.1554353172651256e-05,
188
+ "loss": 7.4693,
189
+ "step": 15000
190
+ },
191
+ {
192
+ "epoch": 1.91,
193
+ "learning_rate": 3.09394982784063e-05,
194
+ "loss": 7.4753,
195
+ "step": 15500
196
+ },
197
+ {
198
+ "epoch": 1.97,
199
+ "learning_rate": 3.032464338416134e-05,
200
+ "loss": 7.4058,
201
+ "step": 16000
202
+ },
203
+ {
204
+ "epoch": 2.03,
205
+ "learning_rate": 2.9709788489916378e-05,
206
+ "loss": 7.4351,
207
+ "step": 16500
208
+ },
209
+ {
210
+ "epoch": 2.09,
211
+ "learning_rate": 2.9094933595671426e-05,
212
+ "loss": 7.3385,
213
+ "step": 17000
214
+ },
215
+ {
216
+ "epoch": 2.15,
217
+ "learning_rate": 2.8480078701426464e-05,
218
+ "loss": 7.3167,
219
+ "step": 17500
220
+ },
221
+ {
222
+ "epoch": 2.21,
223
+ "learning_rate": 2.7865223807181506e-05,
224
+ "loss": 7.3194,
225
+ "step": 18000
226
+ },
227
+ {
228
+ "epoch": 2.27,
229
+ "learning_rate": 2.7250368912936547e-05,
230
+ "loss": 7.3105,
231
+ "step": 18500
232
+ },
233
+ {
234
+ "epoch": 2.34,
235
+ "learning_rate": 2.663551401869159e-05,
236
+ "loss": 7.2525,
237
+ "step": 19000
238
+ },
239
+ {
240
+ "epoch": 2.4,
241
+ "learning_rate": 2.6020659124446634e-05,
242
+ "loss": 7.2848,
243
+ "step": 19500
244
+ },
245
+ {
246
+ "epoch": 2.46,
247
+ "learning_rate": 2.5405804230201675e-05,
248
+ "loss": 7.2648,
249
+ "step": 20000
250
+ },
251
+ {
252
+ "epoch": 2.52,
253
+ "learning_rate": 2.4790949335956714e-05,
254
+ "loss": 7.2688,
255
+ "step": 20500
256
+ },
257
+ {
258
+ "epoch": 2.58,
259
+ "learning_rate": 2.417609444171176e-05,
260
+ "loss": 7.2292,
261
+ "step": 21000
262
+ },
263
+ {
264
+ "epoch": 2.64,
265
+ "learning_rate": 2.35612395474668e-05,
266
+ "loss": 7.229,
267
+ "step": 21500
268
+ },
269
+ {
270
+ "epoch": 2.71,
271
+ "learning_rate": 2.294638465322184e-05,
272
+ "loss": 7.2068,
273
+ "step": 22000
274
+ },
275
+ {
276
+ "epoch": 2.77,
277
+ "learning_rate": 2.2331529758976883e-05,
278
+ "loss": 7.1212,
279
+ "step": 22500
280
+ },
281
+ {
282
+ "epoch": 2.83,
283
+ "learning_rate": 2.171667486473192e-05,
284
+ "loss": 7.1578,
285
+ "step": 23000
286
+ },
287
+ {
288
+ "epoch": 2.89,
289
+ "learning_rate": 2.1101819970486966e-05,
290
+ "loss": 7.0875,
291
+ "step": 23500
292
+ },
293
+ {
294
+ "epoch": 2.95,
295
+ "learning_rate": 2.0486965076242008e-05,
296
+ "loss": 7.1206,
297
+ "step": 24000
298
+ },
299
+ {
300
+ "epoch": 3.01,
301
+ "learning_rate": 1.987211018199705e-05,
302
+ "loss": 7.1629,
303
+ "step": 24500
304
+ },
305
+ {
306
+ "epoch": 3.07,
307
+ "learning_rate": 1.925725528775209e-05,
308
+ "loss": 7.0788,
309
+ "step": 25000
310
+ },
311
+ {
312
+ "epoch": 3.14,
313
+ "learning_rate": 1.8642400393507133e-05,
314
+ "loss": 7.0787,
315
+ "step": 25500
316
+ },
317
+ {
318
+ "epoch": 3.2,
319
+ "learning_rate": 1.8027545499262174e-05,
320
+ "loss": 7.0581,
321
+ "step": 26000
322
+ },
323
+ {
324
+ "epoch": 3.26,
325
+ "learning_rate": 1.741269060501722e-05,
326
+ "loss": 6.9689,
327
+ "step": 26500
328
+ },
329
+ {
330
+ "epoch": 3.32,
331
+ "learning_rate": 1.6797835710772257e-05,
332
+ "loss": 7.0185,
333
+ "step": 27000
334
+ },
335
+ {
336
+ "epoch": 3.38,
337
+ "learning_rate": 1.6182980816527302e-05,
338
+ "loss": 6.9885,
339
+ "step": 27500
340
+ },
341
+ {
342
+ "epoch": 3.44,
343
+ "learning_rate": 1.5568125922282344e-05,
344
+ "loss": 6.9848,
345
+ "step": 28000
346
+ },
347
+ {
348
+ "epoch": 3.5,
349
+ "learning_rate": 1.4953271028037382e-05,
350
+ "loss": 6.9358,
351
+ "step": 28500
352
+ },
353
+ {
354
+ "epoch": 3.57,
355
+ "learning_rate": 1.4338416133792425e-05,
356
+ "loss": 6.9342,
357
+ "step": 29000
358
+ },
359
+ {
360
+ "epoch": 3.63,
361
+ "learning_rate": 1.3723561239547467e-05,
362
+ "loss": 6.94,
363
+ "step": 29500
364
+ },
365
+ {
366
+ "epoch": 3.69,
367
+ "learning_rate": 1.310870634530251e-05,
368
+ "loss": 6.9609,
369
+ "step": 30000
370
+ },
371
+ {
372
+ "epoch": 3.75,
373
+ "learning_rate": 1.249385145105755e-05,
374
+ "loss": 6.9132,
375
+ "step": 30500
376
+ },
377
+ {
378
+ "epoch": 3.81,
379
+ "learning_rate": 1.1878996556812592e-05,
380
+ "loss": 6.8702,
381
+ "step": 31000
382
+ },
383
+ {
384
+ "epoch": 3.87,
385
+ "learning_rate": 1.1264141662567635e-05,
386
+ "loss": 6.9124,
387
+ "step": 31500
388
+ },
389
+ {
390
+ "epoch": 3.94,
391
+ "learning_rate": 1.0649286768322676e-05,
392
+ "loss": 6.8865,
393
+ "step": 32000
394
+ },
395
+ {
396
+ "epoch": 4.0,
397
+ "learning_rate": 1.0034431874077718e-05,
398
+ "loss": 6.8776,
399
+ "step": 32500
400
+ },
401
+ {
402
+ "epoch": 4.06,
403
+ "learning_rate": 9.41957697983276e-06,
404
+ "loss": 6.8486,
405
+ "step": 33000
406
+ },
407
+ {
408
+ "epoch": 4.12,
409
+ "learning_rate": 8.804722085587803e-06,
410
+ "loss": 6.8326,
411
+ "step": 33500
412
+ },
413
+ {
414
+ "epoch": 4.18,
415
+ "learning_rate": 8.189867191342844e-06,
416
+ "loss": 6.8254,
417
+ "step": 34000
418
+ },
419
+ {
420
+ "epoch": 4.24,
421
+ "learning_rate": 7.575012297097884e-06,
422
+ "loss": 6.82,
423
+ "step": 34500
424
+ },
425
+ {
426
+ "epoch": 4.3,
427
+ "learning_rate": 6.960157402852927e-06,
428
+ "loss": 6.782,
429
+ "step": 35000
430
+ },
431
+ {
432
+ "epoch": 4.37,
433
+ "learning_rate": 6.345302508607968e-06,
434
+ "loss": 6.7768,
435
+ "step": 35500
436
+ },
437
+ {
438
+ "epoch": 4.43,
439
+ "learning_rate": 5.730447614363011e-06,
440
+ "loss": 6.841,
441
+ "step": 36000
442
+ },
443
+ {
444
+ "epoch": 4.49,
445
+ "learning_rate": 5.115592720118052e-06,
446
+ "loss": 6.8454,
447
+ "step": 36500
448
+ },
449
+ {
450
+ "epoch": 4.55,
451
+ "learning_rate": 4.500737825873094e-06,
452
+ "loss": 6.8015,
453
+ "step": 37000
454
+ },
455
+ {
456
+ "epoch": 4.61,
457
+ "learning_rate": 3.885882931628136e-06,
458
+ "loss": 6.8061,
459
+ "step": 37500
460
+ },
461
+ {
462
+ "epoch": 4.67,
463
+ "learning_rate": 3.2710280373831774e-06,
464
+ "loss": 6.8078,
465
+ "step": 38000
466
+ },
467
+ {
468
+ "epoch": 4.73,
469
+ "learning_rate": 2.65617314313822e-06,
470
+ "loss": 6.7983,
471
+ "step": 38500
472
+ },
473
+ {
474
+ "epoch": 4.8,
475
+ "learning_rate": 2.0413182488932614e-06,
476
+ "loss": 6.792,
477
+ "step": 39000
478
+ },
479
+ {
480
+ "epoch": 4.86,
481
+ "learning_rate": 1.426463354648303e-06,
482
+ "loss": 6.751,
483
+ "step": 39500
484
+ },
485
+ {
486
+ "epoch": 4.92,
487
+ "learning_rate": 8.116084604033448e-07,
488
+ "loss": 6.7829,
489
+ "step": 40000
490
+ }
491
+ ],
492
+ "logging_steps": 500,
493
+ "max_steps": 40660,
494
+ "num_input_tokens_seen": 0,
495
+ "num_train_epochs": 5,
496
+ "save_steps": 10000,
497
+ "total_flos": 1.0574867779746048e+16,
498
+ "train_batch_size": 64,
499
+ "trial_name": null,
500
+ "trial_params": null
501
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cad7686fbd600da53499a7bf369501cded5f32b5b6772e741ef823e4e16f51f8
3
+ size 4664
vocab.json ADDED
The diff for this file is too large to render. See raw diff