Nikita Moghe Moghe commited on
Commit
95451f2
1 Parent(s): 36e9e85

First model version

Browse files
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-multilingual-uncased",
3
+ "architectures": [
4
+ "BertForMaskedLM"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "directionality": "bidi",
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
+ "pooler_fc_size": 768,
21
+ "pooler_num_attention_heads": 12,
22
+ "pooler_num_fc_layers": 3,
23
+ "pooler_size_per_head": 128,
24
+ "pooler_type": "first_token_transform",
25
+ "position_embedding_type": "absolute",
26
+ "transformers_version": "4.2.2",
27
+ "type_vocab_size": 2,
28
+ "use_cache": true,
29
+ "vocab_size": 105879
30
+ }
eval_results_mlm.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ perplexity = 4.101363560895852
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77011395c8ef14f0b9a66d52a3022fd19f99e52668380642e54abe7d51a4bd63
3
+ size 669910510
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<S>", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "bert-base-multilingual-uncased"}
train_results.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ epoch = 20.0
2
+ train_runtime = 26624.9772
3
+ train_samples_per_second = 9.39
trainer_state.json ADDED
@@ -0,0 +1,622 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 19.999960001599938,
5
+ "global_step": 250000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.2,
12
+ "learning_rate": 4.9500000000000004e-05,
13
+ "loss": 2.2651,
14
+ "step": 2500
15
+ },
16
+ {
17
+ "epoch": 0.4,
18
+ "learning_rate": 4.9e-05,
19
+ "loss": 2.069,
20
+ "step": 5000
21
+ },
22
+ {
23
+ "epoch": 0.6,
24
+ "learning_rate": 4.85e-05,
25
+ "loss": 1.9778,
26
+ "step": 7500
27
+ },
28
+ {
29
+ "epoch": 0.8,
30
+ "learning_rate": 4.8e-05,
31
+ "loss": 1.9497,
32
+ "step": 10000
33
+ },
34
+ {
35
+ "epoch": 1.0,
36
+ "learning_rate": 4.75e-05,
37
+ "loss": 1.8674,
38
+ "step": 12500
39
+ },
40
+ {
41
+ "epoch": 1.2,
42
+ "learning_rate": 4.7e-05,
43
+ "loss": 1.8067,
44
+ "step": 15000
45
+ },
46
+ {
47
+ "epoch": 1.4,
48
+ "learning_rate": 4.6500000000000005e-05,
49
+ "loss": 1.7819,
50
+ "step": 17500
51
+ },
52
+ {
53
+ "epoch": 1.6,
54
+ "learning_rate": 4.600000000000001e-05,
55
+ "loss": 1.7696,
56
+ "step": 20000
57
+ },
58
+ {
59
+ "epoch": 1.8,
60
+ "learning_rate": 4.55e-05,
61
+ "loss": 1.7706,
62
+ "step": 22500
63
+ },
64
+ {
65
+ "epoch": 2.0,
66
+ "learning_rate": 4.5e-05,
67
+ "loss": 1.7257,
68
+ "step": 25000
69
+ },
70
+ {
71
+ "epoch": 2.2,
72
+ "learning_rate": 4.4500000000000004e-05,
73
+ "loss": 1.6657,
74
+ "step": 27500
75
+ },
76
+ {
77
+ "epoch": 2.4,
78
+ "learning_rate": 4.4000000000000006e-05,
79
+ "loss": 1.6589,
80
+ "step": 30000
81
+ },
82
+ {
83
+ "epoch": 2.6,
84
+ "learning_rate": 4.35e-05,
85
+ "loss": 1.6557,
86
+ "step": 32500
87
+ },
88
+ {
89
+ "epoch": 2.8,
90
+ "learning_rate": 4.3e-05,
91
+ "loss": 1.623,
92
+ "step": 35000
93
+ },
94
+ {
95
+ "epoch": 3.0,
96
+ "learning_rate": 4.25e-05,
97
+ "loss": 1.6466,
98
+ "step": 37500
99
+ },
100
+ {
101
+ "epoch": 3.2,
102
+ "learning_rate": 4.2e-05,
103
+ "loss": 1.5969,
104
+ "step": 40000
105
+ },
106
+ {
107
+ "epoch": 3.4,
108
+ "learning_rate": 4.15e-05,
109
+ "loss": 1.5906,
110
+ "step": 42500
111
+ },
112
+ {
113
+ "epoch": 3.6,
114
+ "learning_rate": 4.1e-05,
115
+ "loss": 1.5653,
116
+ "step": 45000
117
+ },
118
+ {
119
+ "epoch": 3.8,
120
+ "learning_rate": 4.05e-05,
121
+ "loss": 1.5574,
122
+ "step": 47500
123
+ },
124
+ {
125
+ "epoch": 4.0,
126
+ "learning_rate": 4e-05,
127
+ "loss": 1.5583,
128
+ "step": 50000
129
+ },
130
+ {
131
+ "epoch": 4.2,
132
+ "learning_rate": 3.9500000000000005e-05,
133
+ "loss": 1.498,
134
+ "step": 52500
135
+ },
136
+ {
137
+ "epoch": 4.4,
138
+ "learning_rate": 3.9000000000000006e-05,
139
+ "loss": 1.4943,
140
+ "step": 55000
141
+ },
142
+ {
143
+ "epoch": 4.6,
144
+ "learning_rate": 3.85e-05,
145
+ "loss": 1.4859,
146
+ "step": 57500
147
+ },
148
+ {
149
+ "epoch": 4.8,
150
+ "learning_rate": 3.8e-05,
151
+ "loss": 1.5071,
152
+ "step": 60000
153
+ },
154
+ {
155
+ "epoch": 5.0,
156
+ "learning_rate": 3.7500000000000003e-05,
157
+ "loss": 1.5022,
158
+ "step": 62500
159
+ },
160
+ {
161
+ "epoch": 5.2,
162
+ "learning_rate": 3.7e-05,
163
+ "loss": 1.4653,
164
+ "step": 65000
165
+ },
166
+ {
167
+ "epoch": 5.4,
168
+ "learning_rate": 3.65e-05,
169
+ "loss": 1.4194,
170
+ "step": 67500
171
+ },
172
+ {
173
+ "epoch": 5.6,
174
+ "learning_rate": 3.6e-05,
175
+ "loss": 1.4436,
176
+ "step": 70000
177
+ },
178
+ {
179
+ "epoch": 5.8,
180
+ "learning_rate": 3.55e-05,
181
+ "loss": 1.4134,
182
+ "step": 72500
183
+ },
184
+ {
185
+ "epoch": 6.0,
186
+ "learning_rate": 3.5e-05,
187
+ "loss": 1.4291,
188
+ "step": 75000
189
+ },
190
+ {
191
+ "epoch": 6.2,
192
+ "learning_rate": 3.45e-05,
193
+ "loss": 1.3782,
194
+ "step": 77500
195
+ },
196
+ {
197
+ "epoch": 6.4,
198
+ "learning_rate": 3.4000000000000007e-05,
199
+ "loss": 1.375,
200
+ "step": 80000
201
+ },
202
+ {
203
+ "epoch": 6.6,
204
+ "learning_rate": 3.35e-05,
205
+ "loss": 1.4082,
206
+ "step": 82500
207
+ },
208
+ {
209
+ "epoch": 6.8,
210
+ "learning_rate": 3.3e-05,
211
+ "loss": 1.3922,
212
+ "step": 85000
213
+ },
214
+ {
215
+ "epoch": 7.0,
216
+ "learning_rate": 3.2500000000000004e-05,
217
+ "loss": 1.3824,
218
+ "step": 87500
219
+ },
220
+ {
221
+ "epoch": 7.2,
222
+ "learning_rate": 3.2000000000000005e-05,
223
+ "loss": 1.3224,
224
+ "step": 90000
225
+ },
226
+ {
227
+ "epoch": 7.4,
228
+ "learning_rate": 3.15e-05,
229
+ "loss": 1.3281,
230
+ "step": 92500
231
+ },
232
+ {
233
+ "epoch": 7.6,
234
+ "learning_rate": 3.1e-05,
235
+ "loss": 1.3507,
236
+ "step": 95000
237
+ },
238
+ {
239
+ "epoch": 7.8,
240
+ "learning_rate": 3.05e-05,
241
+ "loss": 1.3442,
242
+ "step": 97500
243
+ },
244
+ {
245
+ "epoch": 8.0,
246
+ "learning_rate": 3e-05,
247
+ "loss": 1.3254,
248
+ "step": 100000
249
+ },
250
+ {
251
+ "epoch": 8.2,
252
+ "learning_rate": 2.95e-05,
253
+ "loss": 1.2894,
254
+ "step": 102500
255
+ },
256
+ {
257
+ "epoch": 8.4,
258
+ "learning_rate": 2.9e-05,
259
+ "loss": 1.3093,
260
+ "step": 105000
261
+ },
262
+ {
263
+ "epoch": 8.6,
264
+ "learning_rate": 2.8499999999999998e-05,
265
+ "loss": 1.2873,
266
+ "step": 107500
267
+ },
268
+ {
269
+ "epoch": 8.8,
270
+ "learning_rate": 2.8000000000000003e-05,
271
+ "loss": 1.2888,
272
+ "step": 110000
273
+ },
274
+ {
275
+ "epoch": 9.0,
276
+ "learning_rate": 2.7500000000000004e-05,
277
+ "loss": 1.2827,
278
+ "step": 112500
279
+ },
280
+ {
281
+ "epoch": 9.2,
282
+ "learning_rate": 2.7000000000000002e-05,
283
+ "loss": 1.2406,
284
+ "step": 115000
285
+ },
286
+ {
287
+ "epoch": 9.4,
288
+ "learning_rate": 2.6500000000000004e-05,
289
+ "loss": 1.2682,
290
+ "step": 117500
291
+ },
292
+ {
293
+ "epoch": 9.6,
294
+ "learning_rate": 2.6000000000000002e-05,
295
+ "loss": 1.2744,
296
+ "step": 120000
297
+ },
298
+ {
299
+ "epoch": 9.8,
300
+ "learning_rate": 2.5500000000000003e-05,
301
+ "loss": 1.2408,
302
+ "step": 122500
303
+ },
304
+ {
305
+ "epoch": 10.0,
306
+ "learning_rate": 2.5e-05,
307
+ "loss": 1.2291,
308
+ "step": 125000
309
+ },
310
+ {
311
+ "epoch": 10.2,
312
+ "learning_rate": 2.45e-05,
313
+ "loss": 1.2132,
314
+ "step": 127500
315
+ },
316
+ {
317
+ "epoch": 10.4,
318
+ "learning_rate": 2.4e-05,
319
+ "loss": 1.1979,
320
+ "step": 130000
321
+ },
322
+ {
323
+ "epoch": 10.6,
324
+ "learning_rate": 2.35e-05,
325
+ "loss": 1.2106,
326
+ "step": 132500
327
+ },
328
+ {
329
+ "epoch": 10.8,
330
+ "learning_rate": 2.3000000000000003e-05,
331
+ "loss": 1.202,
332
+ "step": 135000
333
+ },
334
+ {
335
+ "epoch": 11.0,
336
+ "learning_rate": 2.25e-05,
337
+ "loss": 1.2056,
338
+ "step": 137500
339
+ },
340
+ {
341
+ "epoch": 11.2,
342
+ "learning_rate": 2.2000000000000003e-05,
343
+ "loss": 1.1665,
344
+ "step": 140000
345
+ },
346
+ {
347
+ "epoch": 11.4,
348
+ "learning_rate": 2.15e-05,
349
+ "loss": 1.1519,
350
+ "step": 142500
351
+ },
352
+ {
353
+ "epoch": 11.6,
354
+ "learning_rate": 2.1e-05,
355
+ "loss": 1.1494,
356
+ "step": 145000
357
+ },
358
+ {
359
+ "epoch": 11.8,
360
+ "learning_rate": 2.05e-05,
361
+ "loss": 1.1649,
362
+ "step": 147500
363
+ },
364
+ {
365
+ "epoch": 12.0,
366
+ "learning_rate": 2e-05,
367
+ "loss": 1.1567,
368
+ "step": 150000
369
+ },
370
+ {
371
+ "epoch": 12.2,
372
+ "learning_rate": 1.9500000000000003e-05,
373
+ "loss": 1.1195,
374
+ "step": 152500
375
+ },
376
+ {
377
+ "epoch": 12.4,
378
+ "learning_rate": 1.9e-05,
379
+ "loss": 1.1107,
380
+ "step": 155000
381
+ },
382
+ {
383
+ "epoch": 12.6,
384
+ "learning_rate": 1.85e-05,
385
+ "loss": 1.1213,
386
+ "step": 157500
387
+ },
388
+ {
389
+ "epoch": 12.8,
390
+ "learning_rate": 1.8e-05,
391
+ "loss": 1.1186,
392
+ "step": 160000
393
+ },
394
+ {
395
+ "epoch": 13.0,
396
+ "learning_rate": 1.75e-05,
397
+ "loss": 1.1202,
398
+ "step": 162500
399
+ },
400
+ {
401
+ "epoch": 13.2,
402
+ "learning_rate": 1.7000000000000003e-05,
403
+ "loss": 1.1014,
404
+ "step": 165000
405
+ },
406
+ {
407
+ "epoch": 13.4,
408
+ "learning_rate": 1.65e-05,
409
+ "loss": 1.0691,
410
+ "step": 167500
411
+ },
412
+ {
413
+ "epoch": 13.6,
414
+ "learning_rate": 1.6000000000000003e-05,
415
+ "loss": 1.0787,
416
+ "step": 170000
417
+ },
418
+ {
419
+ "epoch": 13.8,
420
+ "learning_rate": 1.55e-05,
421
+ "loss": 1.0835,
422
+ "step": 172500
423
+ },
424
+ {
425
+ "epoch": 14.0,
426
+ "learning_rate": 1.5e-05,
427
+ "loss": 1.0812,
428
+ "step": 175000
429
+ },
430
+ {
431
+ "epoch": 14.2,
432
+ "learning_rate": 1.45e-05,
433
+ "loss": 1.0512,
434
+ "step": 177500
435
+ },
436
+ {
437
+ "epoch": 14.4,
438
+ "learning_rate": 1.4000000000000001e-05,
439
+ "loss": 1.0559,
440
+ "step": 180000
441
+ },
442
+ {
443
+ "epoch": 14.6,
444
+ "learning_rate": 1.3500000000000001e-05,
445
+ "loss": 1.0558,
446
+ "step": 182500
447
+ },
448
+ {
449
+ "epoch": 14.8,
450
+ "learning_rate": 1.3000000000000001e-05,
451
+ "loss": 1.0388,
452
+ "step": 185000
453
+ },
454
+ {
455
+ "epoch": 15.0,
456
+ "learning_rate": 1.25e-05,
457
+ "loss": 1.0464,
458
+ "step": 187500
459
+ },
460
+ {
461
+ "epoch": 15.2,
462
+ "learning_rate": 1.2e-05,
463
+ "loss": 1.0131,
464
+ "step": 190000
465
+ },
466
+ {
467
+ "epoch": 15.4,
468
+ "learning_rate": 1.1500000000000002e-05,
469
+ "loss": 1.0071,
470
+ "step": 192500
471
+ },
472
+ {
473
+ "epoch": 15.6,
474
+ "learning_rate": 1.1000000000000001e-05,
475
+ "loss": 1.0146,
476
+ "step": 195000
477
+ },
478
+ {
479
+ "epoch": 15.8,
480
+ "learning_rate": 1.05e-05,
481
+ "loss": 1.006,
482
+ "step": 197500
483
+ },
484
+ {
485
+ "epoch": 16.0,
486
+ "learning_rate": 1e-05,
487
+ "loss": 1.0097,
488
+ "step": 200000
489
+ },
490
+ {
491
+ "epoch": 16.2,
492
+ "learning_rate": 9.5e-06,
493
+ "loss": 0.9944,
494
+ "step": 202500
495
+ },
496
+ {
497
+ "epoch": 16.4,
498
+ "learning_rate": 9e-06,
499
+ "loss": 0.9718,
500
+ "step": 205000
501
+ },
502
+ {
503
+ "epoch": 16.6,
504
+ "learning_rate": 8.500000000000002e-06,
505
+ "loss": 0.9746,
506
+ "step": 207500
507
+ },
508
+ {
509
+ "epoch": 16.8,
510
+ "learning_rate": 8.000000000000001e-06,
511
+ "loss": 0.9653,
512
+ "step": 210000
513
+ },
514
+ {
515
+ "epoch": 17.0,
516
+ "learning_rate": 7.5e-06,
517
+ "loss": 0.9814,
518
+ "step": 212500
519
+ },
520
+ {
521
+ "epoch": 17.2,
522
+ "learning_rate": 7.000000000000001e-06,
523
+ "loss": 0.9519,
524
+ "step": 215000
525
+ },
526
+ {
527
+ "epoch": 17.4,
528
+ "learning_rate": 6.5000000000000004e-06,
529
+ "loss": 0.9553,
530
+ "step": 217500
531
+ },
532
+ {
533
+ "epoch": 17.6,
534
+ "learning_rate": 6e-06,
535
+ "loss": 0.9639,
536
+ "step": 220000
537
+ },
538
+ {
539
+ "epoch": 17.8,
540
+ "learning_rate": 5.500000000000001e-06,
541
+ "loss": 0.9522,
542
+ "step": 222500
543
+ },
544
+ {
545
+ "epoch": 18.0,
546
+ "learning_rate": 5e-06,
547
+ "loss": 0.9368,
548
+ "step": 225000
549
+ },
550
+ {
551
+ "epoch": 18.2,
552
+ "learning_rate": 4.5e-06,
553
+ "loss": 0.9326,
554
+ "step": 227500
555
+ },
556
+ {
557
+ "epoch": 18.4,
558
+ "learning_rate": 4.000000000000001e-06,
559
+ "loss": 0.9267,
560
+ "step": 230000
561
+ },
562
+ {
563
+ "epoch": 18.6,
564
+ "learning_rate": 3.5000000000000004e-06,
565
+ "loss": 0.9019,
566
+ "step": 232500
567
+ },
568
+ {
569
+ "epoch": 18.8,
570
+ "learning_rate": 3e-06,
571
+ "loss": 0.9305,
572
+ "step": 235000
573
+ },
574
+ {
575
+ "epoch": 19.0,
576
+ "learning_rate": 2.5e-06,
577
+ "loss": 0.9376,
578
+ "step": 237500
579
+ },
580
+ {
581
+ "epoch": 19.2,
582
+ "learning_rate": 2.0000000000000003e-06,
583
+ "loss": 0.8974,
584
+ "step": 240000
585
+ },
586
+ {
587
+ "epoch": 19.4,
588
+ "learning_rate": 1.5e-06,
589
+ "loss": 0.9006,
590
+ "step": 242500
591
+ },
592
+ {
593
+ "epoch": 19.6,
594
+ "learning_rate": 1.0000000000000002e-06,
595
+ "loss": 0.9125,
596
+ "step": 245000
597
+ },
598
+ {
599
+ "epoch": 19.8,
600
+ "learning_rate": 5.000000000000001e-07,
601
+ "loss": 0.9035,
602
+ "step": 247500
603
+ },
604
+ {
605
+ "epoch": 20.0,
606
+ "learning_rate": 0.0,
607
+ "loss": 0.9022,
608
+ "step": 250000
609
+ },
610
+ {
611
+ "epoch": 20.0,
612
+ "step": 250000,
613
+ "train_runtime": 26624.9772,
614
+ "train_samples_per_second": 9.39
615
+ }
616
+ ],
617
+ "max_steps": 250000,
618
+ "num_train_epochs": 20,
619
+ "total_flos": 75197205085000500,
620
+ "trial_name": null,
621
+ "trial_params": null
622
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a4fccae495a362f71b48a94fcc9673286412e14302bfc6ced69ebb882a662c6d
3
+ size 1829
vocab.txt ADDED
The diff for this file is too large to render. See raw diff