mapama247 commited on
Commit
b6f339f
1 Parent(s): 7809669

upload nace2_level1_29 model

Browse files
config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "../models/roberta-large/",
3
+ "architectures": [
4
+ "RobertaForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "eos_token_id": 2,
9
+ "finetuning_task": "nace",
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.1,
13
+ "hidden_size": 1024,
14
+ "id2label": {
15
+ "0": "1",
16
+ "1": "3"
17
+ },
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 4096,
20
+ "label2id": {
21
+ "1": 0,
22
+ "3": 1
23
+ },
24
+ "layer_norm_eps": 1e-05,
25
+ "max_position_embeddings": 514,
26
+ "model_type": "roberta",
27
+ "num_attention_heads": 16,
28
+ "num_hidden_layers": 24,
29
+ "pad_token_id": 1,
30
+ "position_embedding_type": "absolute",
31
+ "problem_type": "multi_label_classification",
32
+ "transformers_version": "4.6.1",
33
+ "type_vocab_size": 1,
34
+ "use_cache": true,
35
+ "vocab_size": 50265
36
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0291d671a6babc8601c0a7b7735bb48dd4f079974d63b2b03f534535f9fcf6ac
3
+ size 1421611309
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d6b20e1839b311222562167e53e6b0519bcca13d4294f399a22ad4b04d9de2b
3
+ size 15523
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "special_tokens_map_file": null, "name_or_path": "../models/roberta-large/"}
trainer_state.json ADDED
@@ -0,0 +1,400 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9863948830227645,
3
+ "best_model_checkpoint": "./output//29_roberta-large_nace_5__5e-6_0.01_0.06_07-21-22_10-40/checkpoint-46000",
4
+ "epoch": 1.6596362630523478,
5
+ "global_step": 48000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.07,
12
+ "learning_rate": 1.1524720525527257e-06,
13
+ "loss": 0.1493,
14
+ "step": 2000
15
+ },
16
+ {
17
+ "epoch": 0.07,
18
+ "eval_accuracy": 0.9610440126806309,
19
+ "eval_f1": 0.9764342504146886,
20
+ "eval_loss": 0.05725020170211792,
21
+ "eval_roc_auc": 0.9759211072420441,
22
+ "eval_runtime": 1536.6369,
23
+ "eval_samples_per_second": 33.461,
24
+ "step": 2000
25
+ },
26
+ {
27
+ "epoch": 0.14,
28
+ "learning_rate": 2.3049441051054513e-06,
29
+ "loss": 0.0528,
30
+ "step": 4000
31
+ },
32
+ {
33
+ "epoch": 0.14,
34
+ "eval_accuracy": 0.9728883443219168,
35
+ "eval_f1": 0.9829246052694726,
36
+ "eval_loss": 0.05182106792926788,
37
+ "eval_roc_auc": 0.9827894561625595,
38
+ "eval_runtime": 1536.9258,
39
+ "eval_samples_per_second": 33.454,
40
+ "step": 4000
41
+ },
42
+ {
43
+ "epoch": 0.21,
44
+ "learning_rate": 3.457416157658177e-06,
45
+ "loss": 0.0497,
46
+ "step": 6000
47
+ },
48
+ {
49
+ "epoch": 0.21,
50
+ "eval_accuracy": 0.9731606278079235,
51
+ "eval_f1": 0.9840875186474392,
52
+ "eval_loss": 0.048033468425273895,
53
+ "eval_roc_auc": 0.9838391681932317,
54
+ "eval_runtime": 1538.305,
55
+ "eval_samples_per_second": 33.424,
56
+ "step": 6000
57
+ },
58
+ {
59
+ "epoch": 0.28,
60
+ "learning_rate": 4.609888210210903e-06,
61
+ "loss": 0.0462,
62
+ "step": 8000
63
+ },
64
+ {
65
+ "epoch": 0.28,
66
+ "eval_accuracy": 0.9722465332477586,
67
+ "eval_f1": 0.9834792174869661,
68
+ "eval_loss": 0.054564349353313446,
69
+ "eval_roc_auc": 0.9832329187393456,
70
+ "eval_runtime": 1538.1819,
71
+ "eval_samples_per_second": 33.427,
72
+ "step": 8000
73
+ },
74
+ {
75
+ "epoch": 0.35,
76
+ "learning_rate": 4.951336320098873e-06,
77
+ "loss": 0.0433,
78
+ "step": 10000
79
+ },
80
+ {
81
+ "epoch": 0.35,
82
+ "eval_accuracy": 0.9736079506777914,
83
+ "eval_f1": 0.9837862700755107,
84
+ "eval_loss": 0.04221172630786896,
85
+ "eval_roc_auc": 0.9836052885203017,
86
+ "eval_runtime": 1535.859,
87
+ "eval_samples_per_second": 33.478,
88
+ "step": 10000
89
+ },
90
+ {
91
+ "epoch": 0.41,
92
+ "learning_rate": 4.877770666431257e-06,
93
+ "loss": 0.0442,
94
+ "step": 12000
95
+ },
96
+ {
97
+ "epoch": 0.41,
98
+ "eval_accuracy": 0.9738413365229399,
99
+ "eval_f1": 0.9840872143062064,
100
+ "eval_loss": 0.047410748898983,
101
+ "eval_roc_auc": 0.9838395246306029,
102
+ "eval_runtime": 1536.4074,
103
+ "eval_samples_per_second": 33.466,
104
+ "step": 12000
105
+ },
106
+ {
107
+ "epoch": 0.48,
108
+ "learning_rate": 4.804205012763641e-06,
109
+ "loss": 0.0433,
110
+ "step": 14000
111
+ },
112
+ {
113
+ "epoch": 0.48,
114
+ "eval_accuracy": 0.9747748799035338,
115
+ "eval_f1": 0.9848328360492695,
116
+ "eval_loss": 0.04587765783071518,
117
+ "eval_roc_auc": 0.9845986397430451,
118
+ "eval_runtime": 1536.4412,
119
+ "eval_samples_per_second": 33.465,
120
+ "step": 14000
121
+ },
122
+ {
123
+ "epoch": 0.55,
124
+ "learning_rate": 4.730639359096026e-06,
125
+ "loss": 0.0427,
126
+ "step": 16000
127
+ },
128
+ {
129
+ "epoch": 0.55,
130
+ "eval_accuracy": 0.9745609428788145,
131
+ "eval_f1": 0.9846027155907081,
132
+ "eval_loss": 0.04280721768736839,
133
+ "eval_roc_auc": 0.9844085121898316,
134
+ "eval_runtime": 1536.1052,
135
+ "eval_samples_per_second": 33.472,
136
+ "step": 16000
137
+ },
138
+ {
139
+ "epoch": 0.62,
140
+ "learning_rate": 4.65707370542841e-06,
141
+ "loss": 0.0401,
142
+ "step": 18000
143
+ },
144
+ {
145
+ "epoch": 0.62,
146
+ "eval_accuracy": 0.9754555886185503,
147
+ "eval_f1": 0.9849309815950921,
148
+ "eval_loss": 0.0410287007689476,
149
+ "eval_roc_auc": 0.9847790254315509,
150
+ "eval_runtime": 1536.224,
151
+ "eval_samples_per_second": 33.47,
152
+ "step": 18000
153
+ },
154
+ {
155
+ "epoch": 0.69,
156
+ "learning_rate": 4.583508051760795e-06,
157
+ "loss": 0.0409,
158
+ "step": 20000
159
+ },
160
+ {
161
+ "epoch": 0.69,
162
+ "eval_accuracy": 0.974891572826108,
163
+ "eval_f1": 0.9855708668931557,
164
+ "eval_loss": 0.040095292031764984,
165
+ "eval_roc_auc": 0.9852792796060187,
166
+ "eval_runtime": 1536.3646,
167
+ "eval_samples_per_second": 33.467,
168
+ "step": 20000
169
+ },
170
+ {
171
+ "epoch": 0.76,
172
+ "learning_rate": 4.509942398093178e-06,
173
+ "loss": 0.0403,
174
+ "step": 22000
175
+ },
176
+ {
177
+ "epoch": 0.76,
178
+ "eval_accuracy": 0.9755139350798374,
179
+ "eval_f1": 0.9850088183421517,
180
+ "eval_loss": 0.040499284863471985,
181
+ "eval_roc_auc": 0.9848554210846383,
182
+ "eval_runtime": 1536.2737,
183
+ "eval_samples_per_second": 33.469,
184
+ "step": 22000
185
+ },
186
+ {
187
+ "epoch": 0.83,
188
+ "learning_rate": 4.436376744425563e-06,
189
+ "loss": 0.0414,
190
+ "step": 24000
191
+ },
192
+ {
193
+ "epoch": 0.83,
194
+ "eval_accuracy": 0.975319446875547,
195
+ "eval_f1": 0.9852808881232654,
196
+ "eval_loss": 0.041136886924505234,
197
+ "eval_roc_auc": 0.985079469215943,
198
+ "eval_runtime": 1536.5795,
199
+ "eval_samples_per_second": 33.462,
200
+ "step": 24000
201
+ },
202
+ {
203
+ "epoch": 0.9,
204
+ "learning_rate": 4.362811090757947e-06,
205
+ "loss": 0.0402,
206
+ "step": 26000
207
+ },
208
+ {
209
+ "epoch": 0.9,
210
+ "eval_accuracy": 0.9764474784604313,
211
+ "eval_f1": 0.9861650624772766,
212
+ "eval_loss": 0.04073059558868408,
213
+ "eval_roc_auc": 0.9859694252223201,
214
+ "eval_runtime": 1536.8522,
215
+ "eval_samples_per_second": 33.456,
216
+ "step": 26000
217
+ },
218
+ {
219
+ "epoch": 0.97,
220
+ "learning_rate": 4.289245437090332e-06,
221
+ "loss": 0.0399,
222
+ "step": 28000
223
+ },
224
+ {
225
+ "epoch": 0.97,
226
+ "eval_accuracy": 0.9755722815411245,
227
+ "eval_f1": 0.9853538060958797,
228
+ "eval_loss": 0.040422726422548294,
229
+ "eval_roc_auc": 0.9851619243043377,
230
+ "eval_runtime": 1537.2709,
231
+ "eval_samples_per_second": 33.447,
232
+ "step": 28000
233
+ },
234
+ {
235
+ "epoch": 1.04,
236
+ "learning_rate": 4.215679783422716e-06,
237
+ "loss": 0.04,
238
+ "step": 30000
239
+ },
240
+ {
241
+ "epoch": 1.04,
242
+ "eval_accuracy": 0.9761946437948539,
243
+ "eval_f1": 0.9859556473987333,
244
+ "eval_loss": 0.03985821455717087,
245
+ "eval_roc_auc": 0.9857539906157645,
246
+ "eval_runtime": 1537.4136,
247
+ "eval_samples_per_second": 33.444,
248
+ "step": 30000
249
+ },
250
+ {
251
+ "epoch": 1.11,
252
+ "learning_rate": 4.142114129755101e-06,
253
+ "loss": 0.0373,
254
+ "step": 32000
255
+ },
256
+ {
257
+ "epoch": 1.11,
258
+ "eval_accuracy": 0.9766419666647218,
259
+ "eval_f1": 0.9855267070141279,
260
+ "eval_loss": 0.04419500008225441,
261
+ "eval_roc_auc": 0.9854023838792458,
262
+ "eval_runtime": 1536.3227,
263
+ "eval_samples_per_second": 33.468,
264
+ "step": 32000
265
+ },
266
+ {
267
+ "epoch": 1.18,
268
+ "learning_rate": 4.068548476087484e-06,
269
+ "loss": 0.0357,
270
+ "step": 34000
271
+ },
272
+ {
273
+ "epoch": 1.18,
274
+ "eval_accuracy": 0.9768948013302993,
275
+ "eval_f1": 0.9859001025621362,
276
+ "eval_loss": 0.04071442782878876,
277
+ "eval_roc_auc": 0.9857602731082165,
278
+ "eval_runtime": 1536.5165,
279
+ "eval_samples_per_second": 33.463,
280
+ "step": 34000
281
+ },
282
+ {
283
+ "epoch": 1.24,
284
+ "learning_rate": 3.994982822419869e-06,
285
+ "loss": 0.0365,
286
+ "step": 36000
287
+ },
288
+ {
289
+ "epoch": 1.24,
290
+ "eval_accuracy": 0.976252990256141,
291
+ "eval_f1": 0.9857402622260503,
292
+ "eval_loss": 0.04006611183285713,
293
+ "eval_roc_auc": 0.9855463976313715,
294
+ "eval_runtime": 1536.8448,
295
+ "eval_samples_per_second": 33.456,
296
+ "step": 36000
297
+ },
298
+ {
299
+ "epoch": 1.31,
300
+ "learning_rate": 3.921417168752253e-06,
301
+ "loss": 0.0362,
302
+ "step": 38000
303
+ },
304
+ {
305
+ "epoch": 1.31,
306
+ "eval_accuracy": 0.9752805492346889,
307
+ "eval_f1": 0.9857657021203471,
308
+ "eval_loss": 0.03810262680053711,
309
+ "eval_roc_auc": 0.9854908677538746,
310
+ "eval_runtime": 1536.4894,
311
+ "eval_samples_per_second": 33.464,
312
+ "step": 38000
313
+ },
314
+ {
315
+ "epoch": 1.38,
316
+ "learning_rate": 3.847851515084638e-06,
317
+ "loss": 0.0367,
318
+ "step": 40000
319
+ },
320
+ {
321
+ "epoch": 1.38,
322
+ "eval_accuracy": 0.9741719664702336,
323
+ "eval_f1": 0.9848820340536,
324
+ "eval_loss": 0.03949220851063728,
325
+ "eval_roc_auc": 0.984581025607102,
326
+ "eval_runtime": 1536.5636,
327
+ "eval_samples_per_second": 33.462,
328
+ "step": 40000
329
+ },
330
+ {
331
+ "epoch": 1.45,
332
+ "learning_rate": 3.7742858614170217e-06,
333
+ "loss": 0.0366,
334
+ "step": 42000
335
+ },
336
+ {
337
+ "epoch": 1.45,
338
+ "eval_accuracy": 0.9754166909776922,
339
+ "eval_f1": 0.9858603603173542,
340
+ "eval_loss": 0.03979261964559555,
341
+ "eval_roc_auc": 0.9855892138192017,
342
+ "eval_runtime": 1537.1787,
343
+ "eval_samples_per_second": 33.449,
344
+ "step": 42000
345
+ },
346
+ {
347
+ "epoch": 1.52,
348
+ "learning_rate": 3.7007202077494066e-06,
349
+ "loss": 0.0354,
350
+ "step": 44000
351
+ },
352
+ {
353
+ "epoch": 1.52,
354
+ "eval_accuracy": 0.9768559036894412,
355
+ "eval_f1": 0.9861624145916668,
356
+ "eval_loss": 0.039536893367767334,
357
+ "eval_roc_auc": 0.9859729895960303,
358
+ "eval_runtime": 1536.4855,
359
+ "eval_samples_per_second": 33.464,
360
+ "step": 44000
361
+ },
362
+ {
363
+ "epoch": 1.59,
364
+ "learning_rate": 3.6271545540817902e-06,
365
+ "loss": 0.0365,
366
+ "step": 46000
367
+ },
368
+ {
369
+ "epoch": 1.59,
370
+ "eval_accuracy": 0.9768364548690122,
371
+ "eval_f1": 0.9863948830227645,
372
+ "eval_loss": 0.04265940561890602,
373
+ "eval_roc_auc": 0.9861797953532997,
374
+ "eval_runtime": 1536.6035,
375
+ "eval_samples_per_second": 33.461,
376
+ "step": 46000
377
+ },
378
+ {
379
+ "epoch": 1.66,
380
+ "learning_rate": 3.553588900414175e-06,
381
+ "loss": 0.0358,
382
+ "step": 48000
383
+ },
384
+ {
385
+ "epoch": 1.66,
386
+ "eval_accuracy": 0.9745609428788145,
387
+ "eval_f1": 0.9850252764160049,
388
+ "eval_loss": 0.039769496768713,
389
+ "eval_roc_auc": 0.9847700991727389,
390
+ "eval_runtime": 1536.7946,
391
+ "eval_samples_per_second": 33.457,
392
+ "step": 48000
393
+ }
394
+ ],
395
+ "max_steps": 144610,
396
+ "num_train_epochs": 5,
397
+ "total_flos": 6.9866971594752e+16,
398
+ "trial_name": null,
399
+ "trial_params": null
400
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ec687911cb81e5994a95ebae35370b2054083e9e06bf60529648a5323d55401
3
+ size 2479
vocab.json ADDED
The diff for this file is too large to render. See raw diff