MutazYoune commited on
Commit
c6d043d
1 Parent(s): 1acc25f

Upload 7 files

Browse files
Files changed (7) hide show
  1. config.json +27 -0
  2. optimizer.pt +3 -0
  3. pytorch_model.bin +3 -0
  4. rng_state.pth +3 -0
  5. scheduler.pt +3 -0
  6. trainer_state.json +1096 -0
  7. training_args.bin +3 -0
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "GroNLP/hateBERT",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "BertForMaskedLM"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "classifier_dropout": null,
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
+ "output_past": true,
20
+ "pad_token_id": 0,
21
+ "position_embedding_type": "absolute",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.26.0.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 sha256:44f37c23104c5658bd970320557bbc05efb1ee82e7b59dec0899fdacef674d4d
3
+ size 876233221
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2504f2ab961b44f1dc6e02439ce6d7a425b1969543d12d1a9376a43f856108a5
3
+ size 438130617
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:855a85a8d109175c55f8e453f838486ef005d0382c868f48403ec30593cceb88
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ffdae7e1c3aed12a83c2e230826133532c504005601a17af47725e0d35abbf7
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,1096 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.4703720041170416,
5
+ "global_step": 90000,
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": 3.7438734499828454e-05,
13
+ "loss": 2.389,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 3.737746899965691e-05,
19
+ "loss": 2.4302,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.02,
24
+ "learning_rate": 3.731620349948536e-05,
25
+ "loss": 2.383,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.03,
30
+ "learning_rate": 3.725493799931382e-05,
31
+ "loss": 2.3834,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.04,
36
+ "learning_rate": 3.719367249914228e-05,
37
+ "loss": 2.3638,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.05,
42
+ "learning_rate": 3.7132406998970736e-05,
43
+ "loss": 2.3711,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.06,
48
+ "learning_rate": 3.7071141498799194e-05,
49
+ "loss": 2.3405,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.07,
54
+ "learning_rate": 3.700987599862765e-05,
55
+ "loss": 2.3589,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.07,
60
+ "learning_rate": 3.694861049845611e-05,
61
+ "loss": 2.3535,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.08,
66
+ "learning_rate": 3.688734499828457e-05,
67
+ "loss": 2.3622,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.09,
72
+ "learning_rate": 3.682607949811302e-05,
73
+ "loss": 2.4021,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.1,
78
+ "learning_rate": 3.6764813997941475e-05,
79
+ "loss": 2.3588,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.11,
84
+ "learning_rate": 3.670354849776993e-05,
85
+ "loss": 2.3654,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 0.11,
90
+ "learning_rate": 3.664228299759839e-05,
91
+ "loss": 2.3883,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 0.12,
96
+ "learning_rate": 3.658101749742685e-05,
97
+ "loss": 2.3613,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 0.13,
102
+ "learning_rate": 3.65197519972553e-05,
103
+ "loss": 2.3459,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 0.14,
108
+ "learning_rate": 3.645848649708376e-05,
109
+ "loss": 2.3994,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 0.15,
114
+ "learning_rate": 3.6397220996912214e-05,
115
+ "loss": 2.3753,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 0.16,
120
+ "learning_rate": 3.633595549674067e-05,
121
+ "loss": 2.3511,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 0.16,
126
+ "learning_rate": 3.627468999656913e-05,
127
+ "loss": 2.3771,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 0.17,
132
+ "learning_rate": 3.621342449639758e-05,
133
+ "loss": 2.3563,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 0.18,
138
+ "learning_rate": 3.6152158996226045e-05,
139
+ "loss": 2.3872,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 0.19,
144
+ "learning_rate": 3.60908934960545e-05,
145
+ "loss": 2.36,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 0.2,
150
+ "learning_rate": 3.6029627995882954e-05,
151
+ "loss": 2.3595,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 0.2,
156
+ "learning_rate": 3.596836249571141e-05,
157
+ "loss": 2.3835,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 0.21,
162
+ "learning_rate": 3.590709699553987e-05,
163
+ "loss": 2.3837,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 0.22,
168
+ "learning_rate": 3.584583149536833e-05,
169
+ "loss": 2.3349,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 0.23,
174
+ "learning_rate": 3.5784565995196784e-05,
175
+ "loss": 2.3229,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 0.24,
180
+ "learning_rate": 3.5723300495025235e-05,
181
+ "loss": 2.3744,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 0.25,
186
+ "learning_rate": 3.566203499485369e-05,
187
+ "loss": 2.3317,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 0.25,
192
+ "learning_rate": 3.560076949468215e-05,
193
+ "loss": 2.3539,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 0.26,
198
+ "learning_rate": 3.553950399451061e-05,
199
+ "loss": 2.3477,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 0.27,
204
+ "learning_rate": 3.5478238494339066e-05,
205
+ "loss": 2.3519,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 0.28,
210
+ "learning_rate": 3.541697299416752e-05,
211
+ "loss": 2.3691,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 0.29,
216
+ "learning_rate": 3.5355707493995974e-05,
217
+ "loss": 2.3149,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 0.29,
222
+ "learning_rate": 3.529444199382444e-05,
223
+ "loss": 2.3209,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 0.3,
228
+ "learning_rate": 3.523317649365289e-05,
229
+ "loss": 2.3377,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 0.31,
234
+ "learning_rate": 3.517191099348135e-05,
235
+ "loss": 2.3635,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 0.32,
240
+ "learning_rate": 3.5110645493309805e-05,
241
+ "loss": 2.3815,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 0.33,
246
+ "learning_rate": 3.504937999313826e-05,
247
+ "loss": 2.355,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 0.33,
252
+ "learning_rate": 3.498811449296672e-05,
253
+ "loss": 2.399,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 0.34,
258
+ "learning_rate": 3.492684899279517e-05,
259
+ "loss": 2.4075,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 0.35,
264
+ "learning_rate": 3.486558349262363e-05,
265
+ "loss": 2.3906,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 0.36,
270
+ "learning_rate": 3.480431799245209e-05,
271
+ "loss": 2.3569,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 0.37,
276
+ "learning_rate": 3.4743052492280544e-05,
277
+ "loss": 2.3433,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 0.38,
282
+ "learning_rate": 3.4681786992109e-05,
283
+ "loss": 2.3908,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 0.38,
288
+ "learning_rate": 3.462052149193745e-05,
289
+ "loss": 2.3431,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 0.39,
294
+ "learning_rate": 3.455925599176591e-05,
295
+ "loss": 2.3096,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 0.4,
300
+ "learning_rate": 3.449799049159437e-05,
301
+ "loss": 2.3466,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 0.41,
306
+ "learning_rate": 3.4436724991422826e-05,
307
+ "loss": 2.3523,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 0.42,
312
+ "learning_rate": 3.4375459491251284e-05,
313
+ "loss": 2.3728,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 0.42,
318
+ "learning_rate": 3.431419399107974e-05,
319
+ "loss": 2.3215,
320
+ "step": 26000
321
+ },
322
+ {
323
+ "epoch": 0.43,
324
+ "learning_rate": 3.42529284909082e-05,
325
+ "loss": 2.3309,
326
+ "step": 26500
327
+ },
328
+ {
329
+ "epoch": 0.44,
330
+ "learning_rate": 3.419166299073666e-05,
331
+ "loss": 2.3341,
332
+ "step": 27000
333
+ },
334
+ {
335
+ "epoch": 0.45,
336
+ "learning_rate": 3.413039749056511e-05,
337
+ "loss": 2.3729,
338
+ "step": 27500
339
+ },
340
+ {
341
+ "epoch": 0.46,
342
+ "learning_rate": 3.4069131990393565e-05,
343
+ "loss": 2.3595,
344
+ "step": 28000
345
+ },
346
+ {
347
+ "epoch": 0.47,
348
+ "learning_rate": 3.400786649022202e-05,
349
+ "loss": 2.4054,
350
+ "step": 28500
351
+ },
352
+ {
353
+ "epoch": 0.47,
354
+ "learning_rate": 3.394660099005048e-05,
355
+ "loss": 2.3213,
356
+ "step": 29000
357
+ },
358
+ {
359
+ "epoch": 0.48,
360
+ "learning_rate": 3.388533548987894e-05,
361
+ "loss": 2.3364,
362
+ "step": 29500
363
+ },
364
+ {
365
+ "epoch": 0.49,
366
+ "learning_rate": 3.382406998970739e-05,
367
+ "loss": 2.3332,
368
+ "step": 30000
369
+ },
370
+ {
371
+ "epoch": 0.5,
372
+ "learning_rate": 3.376280448953585e-05,
373
+ "loss": 2.304,
374
+ "step": 30500
375
+ },
376
+ {
377
+ "epoch": 0.51,
378
+ "learning_rate": 3.3701538989364304e-05,
379
+ "loss": 2.3333,
380
+ "step": 31000
381
+ },
382
+ {
383
+ "epoch": 0.51,
384
+ "learning_rate": 3.364027348919276e-05,
385
+ "loss": 2.3562,
386
+ "step": 31500
387
+ },
388
+ {
389
+ "epoch": 0.52,
390
+ "learning_rate": 3.357900798902122e-05,
391
+ "loss": 2.3353,
392
+ "step": 32000
393
+ },
394
+ {
395
+ "epoch": 0.53,
396
+ "learning_rate": 3.351774248884968e-05,
397
+ "loss": 2.3224,
398
+ "step": 32500
399
+ },
400
+ {
401
+ "epoch": 0.54,
402
+ "learning_rate": 3.3456476988678135e-05,
403
+ "loss": 2.3283,
404
+ "step": 33000
405
+ },
406
+ {
407
+ "epoch": 0.55,
408
+ "learning_rate": 3.339521148850659e-05,
409
+ "loss": 2.3357,
410
+ "step": 33500
411
+ },
412
+ {
413
+ "epoch": 0.56,
414
+ "learning_rate": 3.3333945988335044e-05,
415
+ "loss": 2.3352,
416
+ "step": 34000
417
+ },
418
+ {
419
+ "epoch": 0.56,
420
+ "learning_rate": 3.32726804881635e-05,
421
+ "loss": 2.3468,
422
+ "step": 34500
423
+ },
424
+ {
425
+ "epoch": 0.57,
426
+ "learning_rate": 3.321141498799196e-05,
427
+ "loss": 2.3411,
428
+ "step": 35000
429
+ },
430
+ {
431
+ "epoch": 0.58,
432
+ "learning_rate": 3.315014948782042e-05,
433
+ "loss": 2.3306,
434
+ "step": 35500
435
+ },
436
+ {
437
+ "epoch": 0.59,
438
+ "learning_rate": 3.3088883987648874e-05,
439
+ "loss": 2.3449,
440
+ "step": 36000
441
+ },
442
+ {
443
+ "epoch": 0.6,
444
+ "learning_rate": 3.3027618487477325e-05,
445
+ "loss": 2.3349,
446
+ "step": 36500
447
+ },
448
+ {
449
+ "epoch": 0.6,
450
+ "learning_rate": 3.296635298730578e-05,
451
+ "loss": 2.3192,
452
+ "step": 37000
453
+ },
454
+ {
455
+ "epoch": 0.61,
456
+ "learning_rate": 3.290508748713424e-05,
457
+ "loss": 2.3061,
458
+ "step": 37500
459
+ },
460
+ {
461
+ "epoch": 0.62,
462
+ "learning_rate": 3.28438219869627e-05,
463
+ "loss": 2.3491,
464
+ "step": 38000
465
+ },
466
+ {
467
+ "epoch": 0.63,
468
+ "learning_rate": 3.2782556486791156e-05,
469
+ "loss": 2.324,
470
+ "step": 38500
471
+ },
472
+ {
473
+ "epoch": 0.64,
474
+ "learning_rate": 3.2721290986619614e-05,
475
+ "loss": 2.3562,
476
+ "step": 39000
477
+ },
478
+ {
479
+ "epoch": 0.65,
480
+ "learning_rate": 3.266002548644807e-05,
481
+ "loss": 2.315,
482
+ "step": 39500
483
+ },
484
+ {
485
+ "epoch": 0.65,
486
+ "learning_rate": 3.259875998627653e-05,
487
+ "loss": 2.3585,
488
+ "step": 40000
489
+ },
490
+ {
491
+ "epoch": 0.66,
492
+ "learning_rate": 3.253749448610498e-05,
493
+ "loss": 2.2778,
494
+ "step": 40500
495
+ },
496
+ {
497
+ "epoch": 0.67,
498
+ "learning_rate": 3.247622898593344e-05,
499
+ "loss": 2.3479,
500
+ "step": 41000
501
+ },
502
+ {
503
+ "epoch": 0.68,
504
+ "learning_rate": 3.2414963485761895e-05,
505
+ "loss": 2.3489,
506
+ "step": 41500
507
+ },
508
+ {
509
+ "epoch": 0.69,
510
+ "learning_rate": 3.235369798559035e-05,
511
+ "loss": 2.3143,
512
+ "step": 42000
513
+ },
514
+ {
515
+ "epoch": 0.69,
516
+ "learning_rate": 3.229243248541881e-05,
517
+ "loss": 2.3453,
518
+ "step": 42500
519
+ },
520
+ {
521
+ "epoch": 0.7,
522
+ "learning_rate": 3.223116698524726e-05,
523
+ "loss": 2.335,
524
+ "step": 43000
525
+ },
526
+ {
527
+ "epoch": 0.71,
528
+ "learning_rate": 3.216990148507572e-05,
529
+ "loss": 2.327,
530
+ "step": 43500
531
+ },
532
+ {
533
+ "epoch": 0.72,
534
+ "learning_rate": 3.210863598490418e-05,
535
+ "loss": 2.2807,
536
+ "step": 44000
537
+ },
538
+ {
539
+ "epoch": 0.73,
540
+ "learning_rate": 3.2047370484732634e-05,
541
+ "loss": 2.2983,
542
+ "step": 44500
543
+ },
544
+ {
545
+ "epoch": 0.74,
546
+ "learning_rate": 3.198610498456109e-05,
547
+ "loss": 2.339,
548
+ "step": 45000
549
+ },
550
+ {
551
+ "epoch": 0.74,
552
+ "learning_rate": 3.192483948438954e-05,
553
+ "loss": 2.3275,
554
+ "step": 45500
555
+ },
556
+ {
557
+ "epoch": 0.75,
558
+ "learning_rate": 3.186357398421801e-05,
559
+ "loss": 2.3162,
560
+ "step": 46000
561
+ },
562
+ {
563
+ "epoch": 0.76,
564
+ "learning_rate": 3.1802308484046465e-05,
565
+ "loss": 2.2959,
566
+ "step": 46500
567
+ },
568
+ {
569
+ "epoch": 0.77,
570
+ "learning_rate": 3.1741042983874916e-05,
571
+ "loss": 2.3119,
572
+ "step": 47000
573
+ },
574
+ {
575
+ "epoch": 0.78,
576
+ "learning_rate": 3.1679777483703374e-05,
577
+ "loss": 2.294,
578
+ "step": 47500
579
+ },
580
+ {
581
+ "epoch": 0.78,
582
+ "learning_rate": 3.161851198353183e-05,
583
+ "loss": 2.3198,
584
+ "step": 48000
585
+ },
586
+ {
587
+ "epoch": 0.79,
588
+ "learning_rate": 3.155724648336029e-05,
589
+ "loss": 2.3277,
590
+ "step": 48500
591
+ },
592
+ {
593
+ "epoch": 0.8,
594
+ "learning_rate": 3.149598098318875e-05,
595
+ "loss": 2.3395,
596
+ "step": 49000
597
+ },
598
+ {
599
+ "epoch": 0.81,
600
+ "learning_rate": 3.14347154830172e-05,
601
+ "loss": 2.3118,
602
+ "step": 49500
603
+ },
604
+ {
605
+ "epoch": 0.82,
606
+ "learning_rate": 3.1373449982845655e-05,
607
+ "loss": 2.3149,
608
+ "step": 50000
609
+ },
610
+ {
611
+ "epoch": 0.83,
612
+ "learning_rate": 3.131218448267411e-05,
613
+ "loss": 2.2908,
614
+ "step": 50500
615
+ },
616
+ {
617
+ "epoch": 0.83,
618
+ "learning_rate": 3.125091898250257e-05,
619
+ "loss": 2.3073,
620
+ "step": 51000
621
+ },
622
+ {
623
+ "epoch": 0.84,
624
+ "learning_rate": 3.118965348233103e-05,
625
+ "loss": 2.343,
626
+ "step": 51500
627
+ },
628
+ {
629
+ "epoch": 0.85,
630
+ "learning_rate": 3.112838798215948e-05,
631
+ "loss": 2.3371,
632
+ "step": 52000
633
+ },
634
+ {
635
+ "epoch": 0.86,
636
+ "learning_rate": 3.106712248198794e-05,
637
+ "loss": 2.3074,
638
+ "step": 52500
639
+ },
640
+ {
641
+ "epoch": 0.87,
642
+ "learning_rate": 3.10058569818164e-05,
643
+ "loss": 2.2749,
644
+ "step": 53000
645
+ },
646
+ {
647
+ "epoch": 0.87,
648
+ "learning_rate": 3.094459148164485e-05,
649
+ "loss": 2.3164,
650
+ "step": 53500
651
+ },
652
+ {
653
+ "epoch": 0.88,
654
+ "learning_rate": 3.088332598147331e-05,
655
+ "loss": 2.337,
656
+ "step": 54000
657
+ },
658
+ {
659
+ "epoch": 0.89,
660
+ "learning_rate": 3.082206048130177e-05,
661
+ "loss": 2.3028,
662
+ "step": 54500
663
+ },
664
+ {
665
+ "epoch": 0.9,
666
+ "learning_rate": 3.0760794981130225e-05,
667
+ "loss": 2.3165,
668
+ "step": 55000
669
+ },
670
+ {
671
+ "epoch": 0.91,
672
+ "learning_rate": 3.069952948095868e-05,
673
+ "loss": 2.2895,
674
+ "step": 55500
675
+ },
676
+ {
677
+ "epoch": 0.91,
678
+ "learning_rate": 3.0638263980787134e-05,
679
+ "loss": 2.2824,
680
+ "step": 56000
681
+ },
682
+ {
683
+ "epoch": 0.92,
684
+ "learning_rate": 3.057699848061559e-05,
685
+ "loss": 2.3228,
686
+ "step": 56500
687
+ },
688
+ {
689
+ "epoch": 0.93,
690
+ "learning_rate": 3.051573298044405e-05,
691
+ "loss": 2.2546,
692
+ "step": 57000
693
+ },
694
+ {
695
+ "epoch": 0.94,
696
+ "learning_rate": 3.0454467480272507e-05,
697
+ "loss": 2.3119,
698
+ "step": 57500
699
+ },
700
+ {
701
+ "epoch": 0.95,
702
+ "learning_rate": 3.039320198010096e-05,
703
+ "loss": 2.2771,
704
+ "step": 58000
705
+ },
706
+ {
707
+ "epoch": 0.96,
708
+ "learning_rate": 3.033193647992942e-05,
709
+ "loss": 2.2607,
710
+ "step": 58500
711
+ },
712
+ {
713
+ "epoch": 0.96,
714
+ "learning_rate": 3.0270670979757873e-05,
715
+ "loss": 2.3198,
716
+ "step": 59000
717
+ },
718
+ {
719
+ "epoch": 0.97,
720
+ "learning_rate": 3.020940547958633e-05,
721
+ "loss": 2.2541,
722
+ "step": 59500
723
+ },
724
+ {
725
+ "epoch": 0.98,
726
+ "learning_rate": 3.0148139979414792e-05,
727
+ "loss": 2.261,
728
+ "step": 60000
729
+ },
730
+ {
731
+ "epoch": 0.99,
732
+ "learning_rate": 3.0086874479243246e-05,
733
+ "loss": 2.2986,
734
+ "step": 60500
735
+ },
736
+ {
737
+ "epoch": 1.0,
738
+ "learning_rate": 3.0025608979071704e-05,
739
+ "loss": 2.317,
740
+ "step": 61000
741
+ },
742
+ {
743
+ "epoch": 1.0,
744
+ "learning_rate": 2.996434347890016e-05,
745
+ "loss": 2.3038,
746
+ "step": 61500
747
+ },
748
+ {
749
+ "epoch": 1.01,
750
+ "learning_rate": 2.9903077978728616e-05,
751
+ "loss": 2.2841,
752
+ "step": 62000
753
+ },
754
+ {
755
+ "epoch": 1.02,
756
+ "learning_rate": 2.9841812478557073e-05,
757
+ "loss": 2.2385,
758
+ "step": 62500
759
+ },
760
+ {
761
+ "epoch": 1.03,
762
+ "learning_rate": 2.9780546978385528e-05,
763
+ "loss": 2.2838,
764
+ "step": 63000
765
+ },
766
+ {
767
+ "epoch": 1.04,
768
+ "learning_rate": 2.9719281478213985e-05,
769
+ "loss": 2.2644,
770
+ "step": 63500
771
+ },
772
+ {
773
+ "epoch": 1.05,
774
+ "learning_rate": 2.9658015978042443e-05,
775
+ "loss": 2.2696,
776
+ "step": 64000
777
+ },
778
+ {
779
+ "epoch": 1.05,
780
+ "learning_rate": 2.9596750477870897e-05,
781
+ "loss": 2.2769,
782
+ "step": 64500
783
+ },
784
+ {
785
+ "epoch": 1.06,
786
+ "learning_rate": 2.9535484977699355e-05,
787
+ "loss": 2.2684,
788
+ "step": 65000
789
+ },
790
+ {
791
+ "epoch": 1.07,
792
+ "learning_rate": 2.947421947752781e-05,
793
+ "loss": 2.24,
794
+ "step": 65500
795
+ },
796
+ {
797
+ "epoch": 1.08,
798
+ "learning_rate": 2.9412953977356267e-05,
799
+ "loss": 2.279,
800
+ "step": 66000
801
+ },
802
+ {
803
+ "epoch": 1.09,
804
+ "learning_rate": 2.9351688477184724e-05,
805
+ "loss": 2.2503,
806
+ "step": 66500
807
+ },
808
+ {
809
+ "epoch": 1.09,
810
+ "learning_rate": 2.9290422977013182e-05,
811
+ "loss": 2.2148,
812
+ "step": 67000
813
+ },
814
+ {
815
+ "epoch": 1.1,
816
+ "learning_rate": 2.922915747684164e-05,
817
+ "loss": 2.2341,
818
+ "step": 67500
819
+ },
820
+ {
821
+ "epoch": 1.11,
822
+ "learning_rate": 2.9167891976670097e-05,
823
+ "loss": 2.2791,
824
+ "step": 68000
825
+ },
826
+ {
827
+ "epoch": 1.12,
828
+ "learning_rate": 2.9106626476498552e-05,
829
+ "loss": 2.2022,
830
+ "step": 68500
831
+ },
832
+ {
833
+ "epoch": 1.13,
834
+ "learning_rate": 2.904536097632701e-05,
835
+ "loss": 2.2412,
836
+ "step": 69000
837
+ },
838
+ {
839
+ "epoch": 1.14,
840
+ "learning_rate": 2.8984095476155464e-05,
841
+ "loss": 2.2377,
842
+ "step": 69500
843
+ },
844
+ {
845
+ "epoch": 1.14,
846
+ "learning_rate": 2.892282997598392e-05,
847
+ "loss": 2.2535,
848
+ "step": 70000
849
+ },
850
+ {
851
+ "epoch": 1.15,
852
+ "learning_rate": 2.886156447581238e-05,
853
+ "loss": 2.2462,
854
+ "step": 70500
855
+ },
856
+ {
857
+ "epoch": 1.16,
858
+ "learning_rate": 2.8800298975640833e-05,
859
+ "loss": 2.2594,
860
+ "step": 71000
861
+ },
862
+ {
863
+ "epoch": 1.17,
864
+ "learning_rate": 2.873903347546929e-05,
865
+ "loss": 2.2296,
866
+ "step": 71500
867
+ },
868
+ {
869
+ "epoch": 1.18,
870
+ "learning_rate": 2.8677767975297745e-05,
871
+ "loss": 2.2141,
872
+ "step": 72000
873
+ },
874
+ {
875
+ "epoch": 1.18,
876
+ "learning_rate": 2.8616502475126203e-05,
877
+ "loss": 2.2137,
878
+ "step": 72500
879
+ },
880
+ {
881
+ "epoch": 1.19,
882
+ "learning_rate": 2.855523697495466e-05,
883
+ "loss": 2.2503,
884
+ "step": 73000
885
+ },
886
+ {
887
+ "epoch": 1.2,
888
+ "learning_rate": 2.8493971474783115e-05,
889
+ "loss": 2.214,
890
+ "step": 73500
891
+ },
892
+ {
893
+ "epoch": 1.21,
894
+ "learning_rate": 2.8432705974611576e-05,
895
+ "loss": 2.1766,
896
+ "step": 74000
897
+ },
898
+ {
899
+ "epoch": 1.22,
900
+ "learning_rate": 2.8371440474440034e-05,
901
+ "loss": 2.232,
902
+ "step": 74500
903
+ },
904
+ {
905
+ "epoch": 1.23,
906
+ "learning_rate": 2.8310174974268488e-05,
907
+ "loss": 2.1983,
908
+ "step": 75000
909
+ },
910
+ {
911
+ "epoch": 1.23,
912
+ "learning_rate": 2.8248909474096946e-05,
913
+ "loss": 2.2665,
914
+ "step": 75500
915
+ },
916
+ {
917
+ "epoch": 1.24,
918
+ "learning_rate": 2.81876439739254e-05,
919
+ "loss": 2.2109,
920
+ "step": 76000
921
+ },
922
+ {
923
+ "epoch": 1.25,
924
+ "learning_rate": 2.8126378473753858e-05,
925
+ "loss": 2.2699,
926
+ "step": 76500
927
+ },
928
+ {
929
+ "epoch": 1.26,
930
+ "learning_rate": 2.8065112973582315e-05,
931
+ "loss": 2.2059,
932
+ "step": 77000
933
+ },
934
+ {
935
+ "epoch": 1.27,
936
+ "learning_rate": 2.800384747341077e-05,
937
+ "loss": 2.2246,
938
+ "step": 77500
939
+ },
940
+ {
941
+ "epoch": 1.27,
942
+ "learning_rate": 2.7942581973239227e-05,
943
+ "loss": 2.2178,
944
+ "step": 78000
945
+ },
946
+ {
947
+ "epoch": 1.28,
948
+ "learning_rate": 2.788131647306768e-05,
949
+ "loss": 2.2359,
950
+ "step": 78500
951
+ },
952
+ {
953
+ "epoch": 1.29,
954
+ "learning_rate": 2.782005097289614e-05,
955
+ "loss": 2.2262,
956
+ "step": 79000
957
+ },
958
+ {
959
+ "epoch": 1.3,
960
+ "learning_rate": 2.7758785472724597e-05,
961
+ "loss": 2.2429,
962
+ "step": 79500
963
+ },
964
+ {
965
+ "epoch": 1.31,
966
+ "learning_rate": 2.769751997255305e-05,
967
+ "loss": 2.2291,
968
+ "step": 80000
969
+ },
970
+ {
971
+ "epoch": 1.32,
972
+ "learning_rate": 2.763625447238151e-05,
973
+ "loss": 2.2199,
974
+ "step": 80500
975
+ },
976
+ {
977
+ "epoch": 1.32,
978
+ "learning_rate": 2.757498897220997e-05,
979
+ "loss": 2.2423,
980
+ "step": 81000
981
+ },
982
+ {
983
+ "epoch": 1.33,
984
+ "learning_rate": 2.7513723472038424e-05,
985
+ "loss": 2.1731,
986
+ "step": 81500
987
+ },
988
+ {
989
+ "epoch": 1.34,
990
+ "learning_rate": 2.7452457971866882e-05,
991
+ "loss": 2.2085,
992
+ "step": 82000
993
+ },
994
+ {
995
+ "epoch": 1.35,
996
+ "learning_rate": 2.7391192471695336e-05,
997
+ "loss": 2.2361,
998
+ "step": 82500
999
+ },
1000
+ {
1001
+ "epoch": 1.36,
1002
+ "learning_rate": 2.7329926971523794e-05,
1003
+ "loss": 2.2206,
1004
+ "step": 83000
1005
+ },
1006
+ {
1007
+ "epoch": 1.36,
1008
+ "learning_rate": 2.726866147135225e-05,
1009
+ "loss": 2.2487,
1010
+ "step": 83500
1011
+ },
1012
+ {
1013
+ "epoch": 1.37,
1014
+ "learning_rate": 2.7207395971180706e-05,
1015
+ "loss": 2.245,
1016
+ "step": 84000
1017
+ },
1018
+ {
1019
+ "epoch": 1.38,
1020
+ "learning_rate": 2.7146130471009163e-05,
1021
+ "loss": 2.2191,
1022
+ "step": 84500
1023
+ },
1024
+ {
1025
+ "epoch": 1.39,
1026
+ "learning_rate": 2.7084864970837618e-05,
1027
+ "loss": 2.2127,
1028
+ "step": 85000
1029
+ },
1030
+ {
1031
+ "epoch": 1.4,
1032
+ "learning_rate": 2.7023599470666075e-05,
1033
+ "loss": 2.2063,
1034
+ "step": 85500
1035
+ },
1036
+ {
1037
+ "epoch": 1.41,
1038
+ "learning_rate": 2.6962333970494533e-05,
1039
+ "loss": 2.2355,
1040
+ "step": 86000
1041
+ },
1042
+ {
1043
+ "epoch": 1.41,
1044
+ "learning_rate": 2.6901068470322987e-05,
1045
+ "loss": 2.2017,
1046
+ "step": 86500
1047
+ },
1048
+ {
1049
+ "epoch": 1.42,
1050
+ "learning_rate": 2.6839802970151445e-05,
1051
+ "loss": 2.2103,
1052
+ "step": 87000
1053
+ },
1054
+ {
1055
+ "epoch": 1.43,
1056
+ "learning_rate": 2.67785374699799e-05,
1057
+ "loss": 2.2399,
1058
+ "step": 87500
1059
+ },
1060
+ {
1061
+ "epoch": 1.44,
1062
+ "learning_rate": 2.671727196980836e-05,
1063
+ "loss": 2.177,
1064
+ "step": 88000
1065
+ },
1066
+ {
1067
+ "epoch": 1.45,
1068
+ "learning_rate": 2.6656006469636818e-05,
1069
+ "loss": 2.1587,
1070
+ "step": 88500
1071
+ },
1072
+ {
1073
+ "epoch": 1.45,
1074
+ "learning_rate": 2.6594740969465272e-05,
1075
+ "loss": 2.2154,
1076
+ "step": 89000
1077
+ },
1078
+ {
1079
+ "epoch": 1.46,
1080
+ "learning_rate": 2.653347546929373e-05,
1081
+ "loss": 2.2174,
1082
+ "step": 89500
1083
+ },
1084
+ {
1085
+ "epoch": 1.47,
1086
+ "learning_rate": 2.6472209969122188e-05,
1087
+ "loss": 2.1947,
1088
+ "step": 90000
1089
+ }
1090
+ ],
1091
+ "max_steps": 306045,
1092
+ "num_train_epochs": 5,
1093
+ "total_flos": 2.01759268838634e+16,
1094
+ "trial_name": null,
1095
+ "trial_params": null
1096
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2efdac071f60f8e3e0d58c4a4290b4bf19226d7769cf5b341ba94b65b27170f1
3
+ size 3515