BramVanroy commited on
Commit
ee8f6a7
1 Parent(s): 6ca4dba

model init

Browse files
config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-multilingual-cased",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "directionality": "bidi",
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "negative",
14
+ "1": "neutral",
15
+ "2": "positive"
16
+ },
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "negative": 0,
21
+ "neutral": 1,
22
+ "positive": 2
23
+ },
24
+ "layer_norm_eps": 1e-12,
25
+ "max_position_embeddings": 512,
26
+ "model_type": "bert",
27
+ "num_attention_heads": 12,
28
+ "num_hidden_layers": 12,
29
+ "pad_token_id": 0,
30
+ "pooler_fc_size": 768,
31
+ "pooler_num_attention_heads": 12,
32
+ "pooler_num_fc_layers": 3,
33
+ "pooler_size_per_head": 128,
34
+ "pooler_type": "first_token_transform",
35
+ "position_embedding_type": "absolute",
36
+ "torch_dtype": "float32",
37
+ "transformers_version": "4.21.0.dev0",
38
+ "type_vocab_size": 2,
39
+ "use_cache": true,
40
+ "vocab_size": 119547
41
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ed77b30f2e050c50b9b4c6041ea2f4e10e9f41413b5565af17f7fb5b86f4fb6
3
+ size 711493997
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.json ADDED
The diff for this file is too large to render. See raw diff
tokenizer_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "do_lower_case": false,
4
+ "mask_token": "[MASK]",
5
+ "model_max_length": 512,
6
+ "name_or_path": "bert-base-multilingual-cased",
7
+ "pad_token": "[PAD]",
8
+ "sep_token": "[SEP]",
9
+ "special_tokens_map_file": null,
10
+ "strip_accents": null,
11
+ "tokenize_chinese_chars": true,
12
+ "tokenizer_class": "BertTokenizer",
13
+ "unk_token": "[UNK]"
14
+ }
trainer_state.json ADDED
@@ -0,0 +1,457 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7886478688599108,
3
+ "best_model_checkpoint": "/home/bram/shares/predict/trained/dutch/hebban-reviews/bert-base-multilingual-cased/checkpoint-11000",
4
+ "epoch": 3.9447731755424065,
5
+ "global_step": 12000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.16,
12
+ "learning_rate": 4.793333333333334e-05,
13
+ "loss": 0.9625,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.16,
18
+ "eval_accuracy": 0.6706114398422091,
19
+ "eval_f1": 0.6931944548479266,
20
+ "eval_loss": 0.8083919882774353,
21
+ "eval_precision": 0.7343487735413422,
22
+ "eval_recall": 0.6706114398422091,
23
+ "eval_runtime": 24.6562,
24
+ "eval_samples_per_second": 658.009,
25
+ "eval_steps_per_second": 27.417,
26
+ "step": 500
27
+ },
28
+ {
29
+ "epoch": 0.33,
30
+ "learning_rate": 4.585e-05,
31
+ "loss": 0.8186,
32
+ "step": 1000
33
+ },
34
+ {
35
+ "epoch": 0.33,
36
+ "eval_accuracy": 0.6870685404339251,
37
+ "eval_f1": 0.7088564060365691,
38
+ "eval_loss": 0.7797691226005554,
39
+ "eval_precision": 0.753903679506183,
40
+ "eval_recall": 0.6870685404339251,
41
+ "eval_runtime": 24.786,
42
+ "eval_samples_per_second": 654.562,
43
+ "eval_steps_per_second": 27.273,
44
+ "step": 1000
45
+ },
46
+ {
47
+ "epoch": 0.49,
48
+ "learning_rate": 4.376666666666667e-05,
49
+ "loss": 0.7658,
50
+ "step": 1500
51
+ },
52
+ {
53
+ "epoch": 0.49,
54
+ "eval_accuracy": 0.7040803747534516,
55
+ "eval_f1": 0.7250925730375316,
56
+ "eval_loss": 0.7284208536148071,
57
+ "eval_precision": 0.777831708888876,
58
+ "eval_recall": 0.7040803747534516,
59
+ "eval_runtime": 24.7754,
60
+ "eval_samples_per_second": 654.842,
61
+ "eval_steps_per_second": 27.285,
62
+ "step": 1500
63
+ },
64
+ {
65
+ "epoch": 0.66,
66
+ "learning_rate": 4.1683333333333335e-05,
67
+ "loss": 0.7318,
68
+ "step": 2000
69
+ },
70
+ {
71
+ "epoch": 0.66,
72
+ "eval_accuracy": 0.7891395463510849,
73
+ "eval_f1": 0.7822709378126483,
74
+ "eval_loss": 0.7148900032043457,
75
+ "eval_precision": 0.7780706309716242,
76
+ "eval_recall": 0.7891395463510849,
77
+ "eval_runtime": 24.6279,
78
+ "eval_samples_per_second": 658.766,
79
+ "eval_steps_per_second": 27.449,
80
+ "step": 2000
81
+ },
82
+ {
83
+ "epoch": 0.82,
84
+ "learning_rate": 3.960000000000001e-05,
85
+ "loss": 0.6977,
86
+ "step": 2500
87
+ },
88
+ {
89
+ "epoch": 0.82,
90
+ "eval_accuracy": 0.7249753451676528,
91
+ "eval_f1": 0.7429677966966411,
92
+ "eval_loss": 0.6928562521934509,
93
+ "eval_precision": 0.7807492770659993,
94
+ "eval_recall": 0.7249753451676528,
95
+ "eval_runtime": 24.6337,
96
+ "eval_samples_per_second": 658.61,
97
+ "eval_steps_per_second": 27.442,
98
+ "step": 2500
99
+ },
100
+ {
101
+ "epoch": 0.99,
102
+ "learning_rate": 3.7516666666666666e-05,
103
+ "loss": 0.7032,
104
+ "step": 3000
105
+ },
106
+ {
107
+ "epoch": 0.99,
108
+ "eval_accuracy": 0.7484590729783037,
109
+ "eval_f1": 0.7594497306385251,
110
+ "eval_loss": 0.6671503782272339,
111
+ "eval_precision": 0.7788847542194782,
112
+ "eval_recall": 0.7484590729783037,
113
+ "eval_runtime": 24.5732,
114
+ "eval_samples_per_second": 660.231,
115
+ "eval_steps_per_second": 27.51,
116
+ "step": 3000
117
+ },
118
+ {
119
+ "epoch": 1.15,
120
+ "learning_rate": 3.543333333333333e-05,
121
+ "loss": 0.6227,
122
+ "step": 3500
123
+ },
124
+ {
125
+ "epoch": 1.15,
126
+ "eval_accuracy": 0.7747781065088757,
127
+ "eval_f1": 0.7788314002376725,
128
+ "eval_loss": 0.6905977129936218,
129
+ "eval_precision": 0.7840673104698108,
130
+ "eval_recall": 0.7747781065088757,
131
+ "eval_runtime": 24.7721,
132
+ "eval_samples_per_second": 654.931,
133
+ "eval_steps_per_second": 27.289,
134
+ "step": 3500
135
+ },
136
+ {
137
+ "epoch": 1.31,
138
+ "learning_rate": 3.3350000000000004e-05,
139
+ "loss": 0.6309,
140
+ "step": 4000
141
+ },
142
+ {
143
+ "epoch": 1.31,
144
+ "eval_accuracy": 0.7607864891518737,
145
+ "eval_f1": 0.7709664128632473,
146
+ "eval_loss": 0.6686555743217468,
147
+ "eval_precision": 0.7878354043029604,
148
+ "eval_recall": 0.7607864891518737,
149
+ "eval_runtime": 24.6117,
150
+ "eval_samples_per_second": 659.198,
151
+ "eval_steps_per_second": 27.467,
152
+ "step": 4000
153
+ },
154
+ {
155
+ "epoch": 1.48,
156
+ "learning_rate": 3.126666666666666e-05,
157
+ "loss": 0.6256,
158
+ "step": 4500
159
+ },
160
+ {
161
+ "epoch": 1.48,
162
+ "eval_accuracy": 0.6715359960552268,
163
+ "eval_f1": 0.7001277240194975,
164
+ "eval_loss": 0.6691098809242249,
165
+ "eval_precision": 0.7948795089365344,
166
+ "eval_recall": 0.6715359960552268,
167
+ "eval_runtime": 24.6266,
168
+ "eval_samples_per_second": 658.801,
169
+ "eval_steps_per_second": 27.45,
170
+ "step": 4500
171
+ },
172
+ {
173
+ "epoch": 1.64,
174
+ "learning_rate": 2.91875e-05,
175
+ "loss": 0.6152,
176
+ "step": 5000
177
+ },
178
+ {
179
+ "epoch": 1.64,
180
+ "eval_accuracy": 0.7810034516765286,
181
+ "eval_f1": 0.7815583569804468,
182
+ "eval_loss": 0.6452860832214355,
183
+ "eval_precision": 0.7840264023525906,
184
+ "eval_recall": 0.7810034516765286,
185
+ "eval_runtime": 24.5688,
186
+ "eval_samples_per_second": 660.348,
187
+ "eval_steps_per_second": 27.515,
188
+ "step": 5000
189
+ },
190
+ {
191
+ "epoch": 1.81,
192
+ "learning_rate": 2.710416666666667e-05,
193
+ "loss": 0.6068,
194
+ "step": 5500
195
+ },
196
+ {
197
+ "epoch": 1.81,
198
+ "eval_accuracy": 0.7764423076923077,
199
+ "eval_f1": 0.7843276562987542,
200
+ "eval_loss": 0.6676753759384155,
201
+ "eval_precision": 0.8001617824983851,
202
+ "eval_recall": 0.7764423076923077,
203
+ "eval_runtime": 24.7224,
204
+ "eval_samples_per_second": 656.247,
205
+ "eval_steps_per_second": 27.344,
206
+ "step": 5500
207
+ },
208
+ {
209
+ "epoch": 1.97,
210
+ "learning_rate": 2.5020833333333333e-05,
211
+ "loss": 0.6016,
212
+ "step": 6000
213
+ },
214
+ {
215
+ "epoch": 1.97,
216
+ "eval_accuracy": 0.7220784023668639,
217
+ "eval_f1": 0.7405665635983271,
218
+ "eval_loss": 0.6461244821548462,
219
+ "eval_precision": 0.782308061609766,
220
+ "eval_recall": 0.7220784023668639,
221
+ "eval_runtime": 24.6746,
222
+ "eval_samples_per_second": 657.518,
223
+ "eval_steps_per_second": 27.397,
224
+ "step": 6000
225
+ },
226
+ {
227
+ "epoch": 2.14,
228
+ "learning_rate": 2.2937500000000002e-05,
229
+ "loss": 0.521,
230
+ "step": 6500
231
+ },
232
+ {
233
+ "epoch": 2.14,
234
+ "eval_accuracy": 0.7281188362919132,
235
+ "eval_f1": 0.7466913370432308,
236
+ "eval_loss": 0.7071252465248108,
237
+ "eval_precision": 0.7878399669333115,
238
+ "eval_recall": 0.7281188362919132,
239
+ "eval_runtime": 24.7635,
240
+ "eval_samples_per_second": 655.158,
241
+ "eval_steps_per_second": 27.298,
242
+ "step": 6500
243
+ },
244
+ {
245
+ "epoch": 2.3,
246
+ "learning_rate": 2.0854166666666668e-05,
247
+ "loss": 0.5137,
248
+ "step": 7000
249
+ },
250
+ {
251
+ "epoch": 2.3,
252
+ "eval_accuracy": 0.7346523668639053,
253
+ "eval_f1": 0.752395675119321,
254
+ "eval_loss": 0.6949610114097595,
255
+ "eval_precision": 0.7902262301474485,
256
+ "eval_recall": 0.7346523668639053,
257
+ "eval_runtime": 24.761,
258
+ "eval_samples_per_second": 655.225,
259
+ "eval_steps_per_second": 27.301,
260
+ "step": 7000
261
+ },
262
+ {
263
+ "epoch": 2.47,
264
+ "learning_rate": 1.8770833333333333e-05,
265
+ "loss": 0.504,
266
+ "step": 7500
267
+ },
268
+ {
269
+ "epoch": 2.47,
270
+ "eval_accuracy": 0.7453772189349113,
271
+ "eval_f1": 0.7618113431887504,
272
+ "eval_loss": 0.6824287176132202,
273
+ "eval_precision": 0.7979845371909847,
274
+ "eval_recall": 0.7453772189349113,
275
+ "eval_runtime": 24.7586,
276
+ "eval_samples_per_second": 655.287,
277
+ "eval_steps_per_second": 27.304,
278
+ "step": 7500
279
+ },
280
+ {
281
+ "epoch": 2.63,
282
+ "learning_rate": 1.6691666666666668e-05,
283
+ "loss": 0.5049,
284
+ "step": 8000
285
+ },
286
+ {
287
+ "epoch": 2.63,
288
+ "eval_accuracy": 0.7816814595660749,
289
+ "eval_f1": 0.7878816281164417,
290
+ "eval_loss": 0.6992799043655396,
291
+ "eval_precision": 0.7967192296633613,
292
+ "eval_recall": 0.7816814595660749,
293
+ "eval_runtime": 24.7558,
294
+ "eval_samples_per_second": 655.361,
295
+ "eval_steps_per_second": 27.307,
296
+ "step": 8000
297
+ },
298
+ {
299
+ "epoch": 2.79,
300
+ "learning_rate": 1.4608333333333335e-05,
301
+ "loss": 0.4987,
302
+ "step": 8500
303
+ },
304
+ {
305
+ "epoch": 2.79,
306
+ "eval_accuracy": 0.7680596646942801,
307
+ "eval_f1": 0.779595614035326,
308
+ "eval_loss": 0.7158842086791992,
309
+ "eval_precision": 0.8023493022129313,
310
+ "eval_recall": 0.7680596646942801,
311
+ "eval_runtime": 24.6159,
312
+ "eval_samples_per_second": 659.087,
313
+ "eval_steps_per_second": 27.462,
314
+ "step": 8500
315
+ },
316
+ {
317
+ "epoch": 2.96,
318
+ "learning_rate": 1.2525000000000001e-05,
319
+ "loss": 0.4978,
320
+ "step": 9000
321
+ },
322
+ {
323
+ "epoch": 2.96,
324
+ "eval_accuracy": 0.7757026627218935,
325
+ "eval_f1": 0.7846497142505,
326
+ "eval_loss": 0.6755026578903198,
327
+ "eval_precision": 0.7992058416315558,
328
+ "eval_recall": 0.7757026627218935,
329
+ "eval_runtime": 24.6076,
330
+ "eval_samples_per_second": 659.309,
331
+ "eval_steps_per_second": 27.471,
332
+ "step": 9000
333
+ },
334
+ {
335
+ "epoch": 3.12,
336
+ "learning_rate": 1.0441666666666667e-05,
337
+ "loss": 0.4236,
338
+ "step": 9500
339
+ },
340
+ {
341
+ "epoch": 3.12,
342
+ "eval_accuracy": 0.7638067061143984,
343
+ "eval_f1": 0.7757104932531658,
344
+ "eval_loss": 0.740465521812439,
345
+ "eval_precision": 0.7974750781708845,
346
+ "eval_recall": 0.7638067061143984,
347
+ "eval_runtime": 24.6338,
348
+ "eval_samples_per_second": 658.607,
349
+ "eval_steps_per_second": 27.442,
350
+ "step": 9500
351
+ },
352
+ {
353
+ "epoch": 3.29,
354
+ "learning_rate": 8.358333333333333e-06,
355
+ "loss": 0.3987,
356
+ "step": 10000
357
+ },
358
+ {
359
+ "epoch": 3.29,
360
+ "eval_accuracy": 0.7555473372781065,
361
+ "eval_f1": 0.7701303707262471,
362
+ "eval_loss": 0.7569716572761536,
363
+ "eval_precision": 0.80053210602621,
364
+ "eval_recall": 0.7555473372781065,
365
+ "eval_runtime": 24.6348,
366
+ "eval_samples_per_second": 658.58,
367
+ "eval_steps_per_second": 27.441,
368
+ "step": 10000
369
+ },
370
+ {
371
+ "epoch": 3.45,
372
+ "learning_rate": 6.275e-06,
373
+ "loss": 0.3914,
374
+ "step": 10500
375
+ },
376
+ {
377
+ "epoch": 3.45,
378
+ "eval_accuracy": 0.7660256410256411,
379
+ "eval_f1": 0.7781937770368635,
380
+ "eval_loss": 0.7907547354698181,
381
+ "eval_precision": 0.8023937992057022,
382
+ "eval_recall": 0.7660256410256411,
383
+ "eval_runtime": 24.7673,
384
+ "eval_samples_per_second": 655.057,
385
+ "eval_steps_per_second": 27.294,
386
+ "step": 10500
387
+ },
388
+ {
389
+ "epoch": 3.62,
390
+ "learning_rate": 4.195833333333334e-06,
391
+ "loss": 0.4007,
392
+ "step": 11000
393
+ },
394
+ {
395
+ "epoch": 3.62,
396
+ "eval_accuracy": 0.7821745562130178,
397
+ "eval_f1": 0.7886478688599108,
398
+ "eval_loss": 0.7599502801895142,
399
+ "eval_precision": 0.7983440482619892,
400
+ "eval_recall": 0.7821745562130178,
401
+ "eval_runtime": 24.6844,
402
+ "eval_samples_per_second": 657.258,
403
+ "eval_steps_per_second": 27.386,
404
+ "step": 11000
405
+ },
406
+ {
407
+ "epoch": 3.78,
408
+ "learning_rate": 2.1125e-06,
409
+ "loss": 0.3878,
410
+ "step": 11500
411
+ },
412
+ {
413
+ "epoch": 3.78,
414
+ "eval_accuracy": 0.7740384615384616,
415
+ "eval_f1": 0.7836077149829459,
416
+ "eval_loss": 0.7647958993911743,
417
+ "eval_precision": 0.8007153395014647,
418
+ "eval_recall": 0.7740384615384616,
419
+ "eval_runtime": 24.6189,
420
+ "eval_samples_per_second": 659.006,
421
+ "eval_steps_per_second": 27.459,
422
+ "step": 11500
423
+ },
424
+ {
425
+ "epoch": 3.94,
426
+ "learning_rate": 2.916666666666667e-08,
427
+ "loss": 0.3829,
428
+ "step": 12000
429
+ },
430
+ {
431
+ "epoch": 3.94,
432
+ "eval_accuracy": 0.7662721893491125,
433
+ "eval_f1": 0.7779778325177736,
434
+ "eval_loss": 0.752331018447876,
435
+ "eval_precision": 0.7995290654452684,
436
+ "eval_recall": 0.7662721893491125,
437
+ "eval_runtime": 24.6488,
438
+ "eval_samples_per_second": 658.206,
439
+ "eval_steps_per_second": 27.425,
440
+ "step": 12000
441
+ },
442
+ {
443
+ "epoch": 3.94,
444
+ "step": 12000,
445
+ "total_flos": 1.502407617014661e+17,
446
+ "train_loss": 0.5753211771647135,
447
+ "train_runtime": 3636.5588,
448
+ "train_samples_per_second": 158.391,
449
+ "train_steps_per_second": 3.3
450
+ }
451
+ ],
452
+ "max_steps": 12000,
453
+ "num_train_epochs": 4,
454
+ "total_flos": 1.502407617014661e+17,
455
+ "trial_name": null,
456
+ "trial_params": null
457
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a1b1bde55632273fa2d79fa4e7449972067ad76fcbd823e01f19e5d013eba50
3
+ size 3439
vocab.txt ADDED
The diff for this file is too large to render. See raw diff