akaruineko commited on
Commit
7cda8f5
·
verified ·
1 Parent(s): b1bfd34

Upload folder using huggingface_hub

Browse files
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "emb_size": 312,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 312,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 600,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 3,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.52.4",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 29564
27
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0409faa969a4ef69e4c0c5fbc8ec63fed58a3622ce7d15cbf8f83606b4e62f24
3
+ size 47145624
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bad4e118ed2dfb98d798815f496ad6ca665e6bcece57db051c1023808a8a1ebe
3
+ size 94324747
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:863bf585a972b766ec763472b5b7728fac5702eefb9af6cb3b097c2d7db3a052
3
+ size 14645
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386abb53807c5e72754f44db4a1774f06b3ac3f79e21b5218be31117f455858c
3
+ size 1465
special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": false,
45
+ "cls_token": "[CLS]",
46
+ "do_basic_tokenize": true,
47
+ "do_lower_case": false,
48
+ "extra_special_tokens": {},
49
+ "mask_token": "[MASK]",
50
+ "max_length": 512,
51
+ "model_max_length": 512,
52
+ "never_split": null,
53
+ "pad_to_multiple_of": null,
54
+ "pad_token": "[PAD]",
55
+ "pad_token_type_id": 0,
56
+ "padding_side": "right",
57
+ "sep_token": "[SEP]",
58
+ "stride": 0,
59
+ "strip_accents": null,
60
+ "tokenize_chinese_chars": true,
61
+ "tokenizer_class": "BertTokenizer",
62
+ "truncation_side": "right",
63
+ "truncation_strategy": "longest_first",
64
+ "unk_token": "[UNK]"
65
+ }
trainer_state.json ADDED
@@ -0,0 +1,702 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 36872,
3
+ "best_metric": 0.995850622406639,
4
+ "best_model_checkpoint": "./rubert-good-bad/checkpoint-36872",
5
+ "epoch": 12.0,
6
+ "eval_steps": 500,
7
+ "global_step": 40224,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.14916467780429593,
14
+ "grad_norm": 7.852961540222168,
15
+ "learning_rate": 1.975188941925219e-05,
16
+ "loss": 0.4052,
17
+ "step": 500
18
+ },
19
+ {
20
+ "epoch": 0.29832935560859186,
21
+ "grad_norm": 3.1220028400421143,
22
+ "learning_rate": 1.9503281622911697e-05,
23
+ "loss": 0.2525,
24
+ "step": 1000
25
+ },
26
+ {
27
+ "epoch": 0.44749403341288785,
28
+ "grad_norm": 4.411465644836426,
29
+ "learning_rate": 1.9254673826571203e-05,
30
+ "loss": 0.2181,
31
+ "step": 1500
32
+ },
33
+ {
34
+ "epoch": 0.5966587112171837,
35
+ "grad_norm": 4.210575580596924,
36
+ "learning_rate": 1.900606603023071e-05,
37
+ "loss": 0.1906,
38
+ "step": 2000
39
+ },
40
+ {
41
+ "epoch": 0.7458233890214797,
42
+ "grad_norm": 7.871537685394287,
43
+ "learning_rate": 1.8757458233890215e-05,
44
+ "loss": 0.1713,
45
+ "step": 2500
46
+ },
47
+ {
48
+ "epoch": 0.8949880668257757,
49
+ "grad_norm": 4.302709102630615,
50
+ "learning_rate": 1.8508850437549724e-05,
51
+ "loss": 0.1618,
52
+ "step": 3000
53
+ },
54
+ {
55
+ "epoch": 1.0,
56
+ "eval_accuracy": 0.9545433353536296,
57
+ "eval_loss": 0.11475327610969543,
58
+ "eval_runtime": 5.422,
59
+ "eval_samples_per_second": 3955.922,
60
+ "eval_steps_per_second": 123.755,
61
+ "step": 3352
62
+ },
63
+ {
64
+ "epoch": 1.0441527446300716,
65
+ "grad_norm": 6.954808235168457,
66
+ "learning_rate": 1.826024264120923e-05,
67
+ "loss": 0.1452,
68
+ "step": 3500
69
+ },
70
+ {
71
+ "epoch": 1.1933174224343674,
72
+ "grad_norm": 6.441762924194336,
73
+ "learning_rate": 1.8011634844868736e-05,
74
+ "loss": 0.1349,
75
+ "step": 4000
76
+ },
77
+ {
78
+ "epoch": 1.3424821002386635,
79
+ "grad_norm": 2.3034775257110596,
80
+ "learning_rate": 1.7763027048528242e-05,
81
+ "loss": 0.1261,
82
+ "step": 4500
83
+ },
84
+ {
85
+ "epoch": 1.4916467780429594,
86
+ "grad_norm": 1.0179331302642822,
87
+ "learning_rate": 1.751441925218775e-05,
88
+ "loss": 0.116,
89
+ "step": 5000
90
+ },
91
+ {
92
+ "epoch": 1.6408114558472553,
93
+ "grad_norm": 8.965306282043457,
94
+ "learning_rate": 1.7265811455847257e-05,
95
+ "loss": 0.1095,
96
+ "step": 5500
97
+ },
98
+ {
99
+ "epoch": 1.7899761336515514,
100
+ "grad_norm": 2.703307867050171,
101
+ "learning_rate": 1.7017203659506763e-05,
102
+ "loss": 0.114,
103
+ "step": 6000
104
+ },
105
+ {
106
+ "epoch": 1.9391408114558473,
107
+ "grad_norm": 8.306221961975098,
108
+ "learning_rate": 1.676859586316627e-05,
109
+ "loss": 0.1088,
110
+ "step": 6500
111
+ },
112
+ {
113
+ "epoch": 2.0,
114
+ "eval_accuracy": 0.9744510233577323,
115
+ "eval_loss": 0.06880993396043777,
116
+ "eval_runtime": 5.2887,
117
+ "eval_samples_per_second": 4055.651,
118
+ "eval_steps_per_second": 126.875,
119
+ "step": 6704
120
+ },
121
+ {
122
+ "epoch": 2.088305489260143,
123
+ "grad_norm": 5.413713455200195,
124
+ "learning_rate": 1.6519988066825775e-05,
125
+ "loss": 0.096,
126
+ "step": 7000
127
+ },
128
+ {
129
+ "epoch": 2.2374701670644392,
130
+ "grad_norm": 9.367850303649902,
131
+ "learning_rate": 1.6271380270485284e-05,
132
+ "loss": 0.0894,
133
+ "step": 7500
134
+ },
135
+ {
136
+ "epoch": 2.386634844868735,
137
+ "grad_norm": 0.4695867896080017,
138
+ "learning_rate": 1.602277247414479e-05,
139
+ "loss": 0.0882,
140
+ "step": 8000
141
+ },
142
+ {
143
+ "epoch": 2.535799522673031,
144
+ "grad_norm": 8.3032808303833,
145
+ "learning_rate": 1.57741646778043e-05,
146
+ "loss": 0.0885,
147
+ "step": 8500
148
+ },
149
+ {
150
+ "epoch": 2.684964200477327,
151
+ "grad_norm": 3.0729820728302,
152
+ "learning_rate": 1.5525556881463802e-05,
153
+ "loss": 0.0844,
154
+ "step": 9000
155
+ },
156
+ {
157
+ "epoch": 2.834128878281623,
158
+ "grad_norm": 6.244034767150879,
159
+ "learning_rate": 1.527694908512331e-05,
160
+ "loss": 0.0854,
161
+ "step": 9500
162
+ },
163
+ {
164
+ "epoch": 2.983293556085919,
165
+ "grad_norm": 14.806967735290527,
166
+ "learning_rate": 1.5028341288782817e-05,
167
+ "loss": 0.0871,
168
+ "step": 10000
169
+ },
170
+ {
171
+ "epoch": 3.0,
172
+ "eval_accuracy": 0.9813044897198004,
173
+ "eval_loss": 0.04988732188940048,
174
+ "eval_runtime": 5.3443,
175
+ "eval_samples_per_second": 4013.427,
176
+ "eval_steps_per_second": 125.554,
177
+ "step": 10056
178
+ },
179
+ {
180
+ "epoch": 3.132458233890215,
181
+ "grad_norm": 3.9732472896575928,
182
+ "learning_rate": 1.4779733492442325e-05,
183
+ "loss": 0.0745,
184
+ "step": 10500
185
+ },
186
+ {
187
+ "epoch": 3.2816229116945106,
188
+ "grad_norm": 3.8117780685424805,
189
+ "learning_rate": 1.4531125696101831e-05,
190
+ "loss": 0.0697,
191
+ "step": 11000
192
+ },
193
+ {
194
+ "epoch": 3.4307875894988067,
195
+ "grad_norm": 1.4716224670410156,
196
+ "learning_rate": 1.4282517899761337e-05,
197
+ "loss": 0.0707,
198
+ "step": 11500
199
+ },
200
+ {
201
+ "epoch": 3.579952267303103,
202
+ "grad_norm": 1.516440749168396,
203
+ "learning_rate": 1.4033910103420844e-05,
204
+ "loss": 0.0687,
205
+ "step": 12000
206
+ },
207
+ {
208
+ "epoch": 3.7291169451073984,
209
+ "grad_norm": 9.91383171081543,
210
+ "learning_rate": 1.378530230708035e-05,
211
+ "loss": 0.074,
212
+ "step": 12500
213
+ },
214
+ {
215
+ "epoch": 3.8782816229116945,
216
+ "grad_norm": 0.14348161220550537,
217
+ "learning_rate": 1.3536694510739858e-05,
218
+ "loss": 0.0743,
219
+ "step": 13000
220
+ },
221
+ {
222
+ "epoch": 4.0,
223
+ "eval_accuracy": 0.986386311716164,
224
+ "eval_loss": 0.037734854966402054,
225
+ "eval_runtime": 5.3579,
226
+ "eval_samples_per_second": 4003.226,
227
+ "eval_steps_per_second": 125.235,
228
+ "step": 13408
229
+ },
230
+ {
231
+ "epoch": 4.02744630071599,
232
+ "grad_norm": 3.358393430709839,
233
+ "learning_rate": 1.3288086714399364e-05,
234
+ "loss": 0.0687,
235
+ "step": 13500
236
+ },
237
+ {
238
+ "epoch": 4.176610978520286,
239
+ "grad_norm": 11.118879318237305,
240
+ "learning_rate": 1.3039478918058872e-05,
241
+ "loss": 0.0572,
242
+ "step": 14000
243
+ },
244
+ {
245
+ "epoch": 4.325775656324582,
246
+ "grad_norm": 3.1460227966308594,
247
+ "learning_rate": 1.2790871121718378e-05,
248
+ "loss": 0.0604,
249
+ "step": 14500
250
+ },
251
+ {
252
+ "epoch": 4.4749403341288785,
253
+ "grad_norm": 5.454690933227539,
254
+ "learning_rate": 1.2542263325377885e-05,
255
+ "loss": 0.0576,
256
+ "step": 15000
257
+ },
258
+ {
259
+ "epoch": 4.624105011933175,
260
+ "grad_norm": 5.29376220703125,
261
+ "learning_rate": 1.2293655529037391e-05,
262
+ "loss": 0.0619,
263
+ "step": 15500
264
+ },
265
+ {
266
+ "epoch": 4.77326968973747,
267
+ "grad_norm": 0.4051016867160797,
268
+ "learning_rate": 1.2045047732696897e-05,
269
+ "loss": 0.0591,
270
+ "step": 16000
271
+ },
272
+ {
273
+ "epoch": 4.922434367541766,
274
+ "grad_norm": 3.9757938385009766,
275
+ "learning_rate": 1.1796439936356405e-05,
276
+ "loss": 0.0566,
277
+ "step": 16500
278
+ },
279
+ {
280
+ "epoch": 5.0,
281
+ "eval_accuracy": 0.9901627115483239,
282
+ "eval_loss": 0.02832028456032276,
283
+ "eval_runtime": 5.3872,
284
+ "eval_samples_per_second": 3981.457,
285
+ "eval_steps_per_second": 124.554,
286
+ "step": 16760
287
+ },
288
+ {
289
+ "epoch": 5.071599045346062,
290
+ "grad_norm": 5.767542839050293,
291
+ "learning_rate": 1.154783214001591e-05,
292
+ "loss": 0.0554,
293
+ "step": 17000
294
+ },
295
+ {
296
+ "epoch": 5.220763723150358,
297
+ "grad_norm": 0.15083061158657074,
298
+ "learning_rate": 1.1299224343675418e-05,
299
+ "loss": 0.0507,
300
+ "step": 17500
301
+ },
302
+ {
303
+ "epoch": 5.369928400954654,
304
+ "grad_norm": 3.9027342796325684,
305
+ "learning_rate": 1.1050616547334924e-05,
306
+ "loss": 0.0526,
307
+ "step": 18000
308
+ },
309
+ {
310
+ "epoch": 5.519093078758949,
311
+ "grad_norm": 0.34978094696998596,
312
+ "learning_rate": 1.0802008750994433e-05,
313
+ "loss": 0.0489,
314
+ "step": 18500
315
+ },
316
+ {
317
+ "epoch": 5.6682577565632455,
318
+ "grad_norm": 24.885211944580078,
319
+ "learning_rate": 1.0553400954653938e-05,
320
+ "loss": 0.0496,
321
+ "step": 19000
322
+ },
323
+ {
324
+ "epoch": 5.817422434367542,
325
+ "grad_norm": 3.8451194763183594,
326
+ "learning_rate": 1.0304793158313447e-05,
327
+ "loss": 0.0462,
328
+ "step": 19500
329
+ },
330
+ {
331
+ "epoch": 5.966587112171838,
332
+ "grad_norm": 2.7605342864990234,
333
+ "learning_rate": 1.0056185361972953e-05,
334
+ "loss": 0.0524,
335
+ "step": 20000
336
+ },
337
+ {
338
+ "epoch": 6.0,
339
+ "eval_accuracy": 0.9920276003543289,
340
+ "eval_loss": 0.023812290281057358,
341
+ "eval_runtime": 5.7441,
342
+ "eval_samples_per_second": 3734.067,
343
+ "eval_steps_per_second": 116.815,
344
+ "step": 20112
345
+ },
346
+ {
347
+ "epoch": 6.115751789976134,
348
+ "grad_norm": 12.299605369567871,
349
+ "learning_rate": 9.807577565632459e-06,
350
+ "loss": 0.0451,
351
+ "step": 20500
352
+ },
353
+ {
354
+ "epoch": 6.26491646778043,
355
+ "grad_norm": 0.014037308283150196,
356
+ "learning_rate": 9.558969769291967e-06,
357
+ "loss": 0.0439,
358
+ "step": 21000
359
+ },
360
+ {
361
+ "epoch": 6.414081145584726,
362
+ "grad_norm": 4.366552829742432,
363
+ "learning_rate": 9.310361972951472e-06,
364
+ "loss": 0.0447,
365
+ "step": 21500
366
+ },
367
+ {
368
+ "epoch": 6.563245823389021,
369
+ "grad_norm": 0.3234240412712097,
370
+ "learning_rate": 9.06175417661098e-06,
371
+ "loss": 0.0474,
372
+ "step": 22000
373
+ },
374
+ {
375
+ "epoch": 6.712410501193317,
376
+ "grad_norm": 5.625737190246582,
377
+ "learning_rate": 8.813146380270486e-06,
378
+ "loss": 0.0401,
379
+ "step": 22500
380
+ },
381
+ {
382
+ "epoch": 6.861575178997613,
383
+ "grad_norm": 1.9961190223693848,
384
+ "learning_rate": 8.564538583929994e-06,
385
+ "loss": 0.0442,
386
+ "step": 23000
387
+ },
388
+ {
389
+ "epoch": 7.0,
390
+ "eval_accuracy": 0.9929134225371812,
391
+ "eval_loss": 0.02055698074400425,
392
+ "eval_runtime": 5.2686,
393
+ "eval_samples_per_second": 4071.116,
394
+ "eval_steps_per_second": 127.359,
395
+ "step": 23464
396
+ },
397
+ {
398
+ "epoch": 7.0107398568019095,
399
+ "grad_norm": 0.7006446123123169,
400
+ "learning_rate": 8.3159307875895e-06,
401
+ "loss": 0.0446,
402
+ "step": 23500
403
+ },
404
+ {
405
+ "epoch": 7.159904534606206,
406
+ "grad_norm": 0.009974448010325432,
407
+ "learning_rate": 8.067322991249006e-06,
408
+ "loss": 0.0353,
409
+ "step": 24000
410
+ },
411
+ {
412
+ "epoch": 7.309069212410501,
413
+ "grad_norm": 13.073637962341309,
414
+ "learning_rate": 7.818715194908513e-06,
415
+ "loss": 0.0327,
416
+ "step": 24500
417
+ },
418
+ {
419
+ "epoch": 7.458233890214797,
420
+ "grad_norm": 0.47934669256210327,
421
+ "learning_rate": 7.57010739856802e-06,
422
+ "loss": 0.0415,
423
+ "step": 25000
424
+ },
425
+ {
426
+ "epoch": 7.607398568019093,
427
+ "grad_norm": 9.82204532623291,
428
+ "learning_rate": 7.321499602227527e-06,
429
+ "loss": 0.0396,
430
+ "step": 25500
431
+ },
432
+ {
433
+ "epoch": 7.756563245823389,
434
+ "grad_norm": 3.7507293224334717,
435
+ "learning_rate": 7.0728918058870335e-06,
436
+ "loss": 0.0419,
437
+ "step": 26000
438
+ },
439
+ {
440
+ "epoch": 7.905727923627685,
441
+ "grad_norm": 12.792013168334961,
442
+ "learning_rate": 6.82428400954654e-06,
443
+ "loss": 0.0437,
444
+ "step": 26500
445
+ },
446
+ {
447
+ "epoch": 8.0,
448
+ "eval_accuracy": 0.9944053335819851,
449
+ "eval_loss": 0.017598649486899376,
450
+ "eval_runtime": 5.3397,
451
+ "eval_samples_per_second": 4016.869,
452
+ "eval_steps_per_second": 125.662,
453
+ "step": 26816
454
+ },
455
+ {
456
+ "epoch": 8.05489260143198,
457
+ "grad_norm": 2.062351703643799,
458
+ "learning_rate": 6.575676213206047e-06,
459
+ "loss": 0.037,
460
+ "step": 27000
461
+ },
462
+ {
463
+ "epoch": 8.204057279236277,
464
+ "grad_norm": 7.230820178985596,
465
+ "learning_rate": 6.327068416865554e-06,
466
+ "loss": 0.0363,
467
+ "step": 27500
468
+ },
469
+ {
470
+ "epoch": 8.353221957040573,
471
+ "grad_norm": 9.108207702636719,
472
+ "learning_rate": 6.078460620525061e-06,
473
+ "loss": 0.0343,
474
+ "step": 28000
475
+ },
476
+ {
477
+ "epoch": 8.50238663484487,
478
+ "grad_norm": 3.1893274784088135,
479
+ "learning_rate": 5.829852824184567e-06,
480
+ "loss": 0.0374,
481
+ "step": 28500
482
+ },
483
+ {
484
+ "epoch": 8.651551312649165,
485
+ "grad_norm": 7.297391414642334,
486
+ "learning_rate": 5.581245027844073e-06,
487
+ "loss": 0.0371,
488
+ "step": 29000
489
+ },
490
+ {
491
+ "epoch": 8.80071599045346,
492
+ "grad_norm": 0.8091713190078735,
493
+ "learning_rate": 5.33263723150358e-06,
494
+ "loss": 0.0322,
495
+ "step": 29500
496
+ },
497
+ {
498
+ "epoch": 8.949880668257757,
499
+ "grad_norm": 9.286097526550293,
500
+ "learning_rate": 5.084029435163087e-06,
501
+ "loss": 0.0366,
502
+ "step": 30000
503
+ },
504
+ {
505
+ "epoch": 9.0,
506
+ "eval_accuracy": 0.995104666884237,
507
+ "eval_loss": 0.015091103501617908,
508
+ "eval_runtime": 5.5227,
509
+ "eval_samples_per_second": 3883.811,
510
+ "eval_steps_per_second": 121.499,
511
+ "step": 30168
512
+ },
513
+ {
514
+ "epoch": 9.099045346062052,
515
+ "grad_norm": 2.9286885261535645,
516
+ "learning_rate": 4.835421638822594e-06,
517
+ "loss": 0.0295,
518
+ "step": 30500
519
+ },
520
+ {
521
+ "epoch": 9.24821002386635,
522
+ "grad_norm": 0.06805476546287537,
523
+ "learning_rate": 4.5868138424821005e-06,
524
+ "loss": 0.0337,
525
+ "step": 31000
526
+ },
527
+ {
528
+ "epoch": 9.397374701670644,
529
+ "grad_norm": 1.571494698524475,
530
+ "learning_rate": 4.338206046141607e-06,
531
+ "loss": 0.0331,
532
+ "step": 31500
533
+ },
534
+ {
535
+ "epoch": 9.54653937947494,
536
+ "grad_norm": 0.042112987488508224,
537
+ "learning_rate": 4.089598249801114e-06,
538
+ "loss": 0.0298,
539
+ "step": 32000
540
+ },
541
+ {
542
+ "epoch": 9.695704057279237,
543
+ "grad_norm": 0.060358405113220215,
544
+ "learning_rate": 3.840990453460621e-06,
545
+ "loss": 0.0354,
546
+ "step": 32500
547
+ },
548
+ {
549
+ "epoch": 9.844868735083532,
550
+ "grad_norm": 17.142175674438477,
551
+ "learning_rate": 3.5923826571201277e-06,
552
+ "loss": 0.0315,
553
+ "step": 33000
554
+ },
555
+ {
556
+ "epoch": 9.994033412887829,
557
+ "grad_norm": 0.03519833832979202,
558
+ "learning_rate": 3.3437748607796345e-06,
559
+ "loss": 0.0341,
560
+ "step": 33500
561
+ },
562
+ {
563
+ "epoch": 10.0,
564
+ "eval_accuracy": 0.9953844002051377,
565
+ "eval_loss": 0.014557760208845139,
566
+ "eval_runtime": 5.4843,
567
+ "eval_samples_per_second": 3911.0,
568
+ "eval_steps_per_second": 122.35,
569
+ "step": 33520
570
+ },
571
+ {
572
+ "epoch": 10.143198090692124,
573
+ "grad_norm": 8.01278018951416,
574
+ "learning_rate": 3.0951670644391413e-06,
575
+ "loss": 0.0291,
576
+ "step": 34000
577
+ },
578
+ {
579
+ "epoch": 10.292362768496421,
580
+ "grad_norm": 1.2233223915100098,
581
+ "learning_rate": 2.8465592680986476e-06,
582
+ "loss": 0.0295,
583
+ "step": 34500
584
+ },
585
+ {
586
+ "epoch": 10.441527446300716,
587
+ "grad_norm": 0.13490265607833862,
588
+ "learning_rate": 2.5979514717581544e-06,
589
+ "loss": 0.0314,
590
+ "step": 35000
591
+ },
592
+ {
593
+ "epoch": 10.590692124105011,
594
+ "grad_norm": 22.723793029785156,
595
+ "learning_rate": 2.349343675417661e-06,
596
+ "loss": 0.0323,
597
+ "step": 35500
598
+ },
599
+ {
600
+ "epoch": 10.739856801909308,
601
+ "grad_norm": 0.0038608636241406202,
602
+ "learning_rate": 2.100735879077168e-06,
603
+ "loss": 0.0304,
604
+ "step": 36000
605
+ },
606
+ {
607
+ "epoch": 10.889021479713604,
608
+ "grad_norm": 0.08787856996059418,
609
+ "learning_rate": 1.8521280827366748e-06,
610
+ "loss": 0.031,
611
+ "step": 36500
612
+ },
613
+ {
614
+ "epoch": 11.0,
615
+ "eval_accuracy": 0.995850622406639,
616
+ "eval_loss": 0.013228594325482845,
617
+ "eval_runtime": 5.4141,
618
+ "eval_samples_per_second": 3961.682,
619
+ "eval_steps_per_second": 123.935,
620
+ "step": 36872
621
+ },
622
+ {
623
+ "epoch": 11.0381861575179,
624
+ "grad_norm": 0.11552688479423523,
625
+ "learning_rate": 1.6035202863961815e-06,
626
+ "loss": 0.0318,
627
+ "step": 37000
628
+ },
629
+ {
630
+ "epoch": 11.187350835322196,
631
+ "grad_norm": 0.19442684948444366,
632
+ "learning_rate": 1.3549124900556881e-06,
633
+ "loss": 0.027,
634
+ "step": 37500
635
+ },
636
+ {
637
+ "epoch": 11.336515513126491,
638
+ "grad_norm": 10.4265718460083,
639
+ "learning_rate": 1.106304693715195e-06,
640
+ "loss": 0.027,
641
+ "step": 38000
642
+ },
643
+ {
644
+ "epoch": 11.485680190930788,
645
+ "grad_norm": 0.03579527512192726,
646
+ "learning_rate": 8.576968973747017e-07,
647
+ "loss": 0.0325,
648
+ "step": 38500
649
+ },
650
+ {
651
+ "epoch": 11.634844868735083,
652
+ "grad_norm": 3.7483468055725098,
653
+ "learning_rate": 6.090891010342085e-07,
654
+ "loss": 0.0267,
655
+ "step": 39000
656
+ },
657
+ {
658
+ "epoch": 11.78400954653938,
659
+ "grad_norm": 0.031889185309410095,
660
+ "learning_rate": 3.604813046937152e-07,
661
+ "loss": 0.0268,
662
+ "step": 39500
663
+ },
664
+ {
665
+ "epoch": 11.933174224343675,
666
+ "grad_norm": 0.04797011986374855,
667
+ "learning_rate": 1.1187350835322197e-07,
668
+ "loss": 0.0273,
669
+ "step": 40000
670
+ },
671
+ {
672
+ "epoch": 12.0,
673
+ "eval_accuracy": 0.9957573779663388,
674
+ "eval_loss": 0.013085125014185905,
675
+ "eval_runtime": 5.2528,
676
+ "eval_samples_per_second": 4083.366,
677
+ "eval_steps_per_second": 127.742,
678
+ "step": 40224
679
+ }
680
+ ],
681
+ "logging_steps": 500,
682
+ "max_steps": 40224,
683
+ "num_input_tokens_seen": 0,
684
+ "num_train_epochs": 12,
685
+ "save_steps": 500,
686
+ "stateful_callbacks": {
687
+ "TrainerControl": {
688
+ "args": {
689
+ "should_epoch_stop": false,
690
+ "should_evaluate": false,
691
+ "should_log": false,
692
+ "should_save": true,
693
+ "should_training_stop": true
694
+ },
695
+ "attributes": {}
696
+ }
697
+ },
698
+ "total_flos": 1159020529550640.0,
699
+ "train_batch_size": 32,
700
+ "trial_name": null,
701
+ "trial_params": null
702
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ce5a2c79f950e777178c6537e8e427ee8065fe88e4d1be81254cbe000e9efe6
3
+ size 5713
vocab.txt ADDED
The diff for this file is too large to render. See raw diff