UGARIT commited on
Commit
4b6b67b
1 Parent(s): bcdd65f

Upload 10 files

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
config.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "UGARIT/grc-alignment",
3
+ "architectures": [
4
+ "XLMRobertaForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.1,
13
+ "hidden_size": 768,
14
+ "id2label": {
15
+ "0": "O",
16
+ "1": "B-PER",
17
+ "2": "I-PER",
18
+ "3": "B-NORP",
19
+ "4": "I-NORP",
20
+ "5": "B-LOC",
21
+ "6": "I-LOC",
22
+ "7": "B-MISC",
23
+ "8": "I-MISC"
24
+ },
25
+ "initializer_range": 0.02,
26
+ "intermediate_size": 3072,
27
+ "label2id": {
28
+ "B-LOC": "5",
29
+ "B-MISC": "7",
30
+ "B-NORP": "3",
31
+ "B-PER": "1",
32
+ "I-LOC": "6",
33
+ "I-MISC": "8",
34
+ "I-NORP": "4",
35
+ "I-PER": "2",
36
+ "O": "0"
37
+ },
38
+ "layer_norm_eps": 1e-05,
39
+ "max_position_embeddings": 514,
40
+ "model_type": "xlm-roberta",
41
+ "num_attention_heads": 12,
42
+ "num_hidden_layers": 12,
43
+ "output_past": true,
44
+ "pad_token_id": 1,
45
+ "position_embedding_type": "absolute",
46
+ "torch_dtype": "float32",
47
+ "transformers_version": "4.28.0",
48
+ "type_vocab_size": 1,
49
+ "use_cache": true,
50
+ "vocab_size": 250002
51
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08e1dbdf4d55ec2b790ec81e054c012c6e51e0479ec457f2bd819859f87202dd
3
+ size 1109913066
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:799dbf34acacea544784f566edd2774fe4bc1482ff933e536334a272e49151ad
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74971fdf77702f2b62c524375aa1c538b11ad0b4c171649f0fd219c0757c7268
3
+ size 1064
sentencepiece.bpe.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
3
+ size 5069051
special_tokens_map.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "cls_token": "<s>",
4
+ "eos_token": "</s>",
5
+ "mask_token": "<mask>",
6
+ "pad_token": "<pad>",
7
+ "sep_token": "</s>",
8
+ "unk_token": "<unk>"
9
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa919170495afbc86481b2ba28b16bfef241790e322601b4edc6bdc1f913d71f
3
+ size 17098179
tokenizer_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "clean_up_tokenization_spaces": true,
4
+ "cls_token": "<s>",
5
+ "eos_token": "</s>",
6
+ "full_tokenizer_file": "/content/gdrive/MyDrive/ugaBert/xlm-roberta-base-finetuned-full_12M_10epp/tokenizer.json",
7
+ "mask_token": {
8
+ "__type": "AddedToken",
9
+ "content": "<mask>",
10
+ "lstrip": true,
11
+ "normalized": true,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ },
15
+ "model_max_length": 512,
16
+ "pad_token": "<pad>",
17
+ "padding": true,
18
+ "sep_token": "</s>",
19
+ "sp_model_kwargs": {},
20
+ "tokenizer_class": "XLMRobertaTokenizer",
21
+ "truncation": true,
22
+ "unk_token": "<unk>"
23
+ }
trainer_state.json ADDED
@@ -0,0 +1,628 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 10.0,
5
+ "global_step": 21190,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.24,
12
+ "learning_rate": 1.952807928268051e-05,
13
+ "loss": 0.1097,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.47,
18
+ "learning_rate": 1.905615856536102e-05,
19
+ "loss": 0.0885,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.71,
24
+ "learning_rate": 1.858423784804153e-05,
25
+ "loss": 0.1291,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.94,
30
+ "learning_rate": 1.8112317130722038e-05,
31
+ "loss": 0.1202,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 1.0,
36
+ "eval_LOC": {
37
+ "f1": 0.7736781419864931,
38
+ "number": 12507,
39
+ "precision": 0.7976564490107837,
40
+ "recall": 0.751099384344767
41
+ },
42
+ "eval_MISC": {
43
+ "f1": 0.7151848937844216,
44
+ "number": 2816,
45
+ "precision": 0.8015873015873016,
46
+ "recall": 0.6455965909090909
47
+ },
48
+ "eval_NORP": {
49
+ "f1": 0.8523970985879222,
50
+ "number": 10969,
51
+ "precision": 0.805352798053528,
52
+ "recall": 0.9052785121706628
53
+ },
54
+ "eval_PER": {
55
+ "f1": 0.9086936163571093,
56
+ "number": 28256,
57
+ "precision": 0.8909103274730507,
58
+ "recall": 0.9272013023782559
59
+ },
60
+ "eval_loss": 0.11920765787363052,
61
+ "eval_overall_accuracy": 0.967201754087,
62
+ "eval_overall_f1": 0.8581709417202936,
63
+ "eval_overall_precision": 0.8486787852712344,
64
+ "eval_overall_recall": 0.8678778323678228,
65
+ "eval_runtime": 57.7447,
66
+ "eval_samples_per_second": 73.357,
67
+ "eval_steps_per_second": 9.178,
68
+ "step": 2119
69
+ },
70
+ {
71
+ "epoch": 1.18,
72
+ "learning_rate": 1.7640396413402548e-05,
73
+ "loss": 0.0999,
74
+ "step": 2500
75
+ },
76
+ {
77
+ "epoch": 1.42,
78
+ "learning_rate": 1.7168475696083062e-05,
79
+ "loss": 0.0863,
80
+ "step": 3000
81
+ },
82
+ {
83
+ "epoch": 1.65,
84
+ "learning_rate": 1.669655497876357e-05,
85
+ "loss": 0.09,
86
+ "step": 3500
87
+ },
88
+ {
89
+ "epoch": 1.89,
90
+ "learning_rate": 1.622463426144408e-05,
91
+ "loss": 0.0881,
92
+ "step": 4000
93
+ },
94
+ {
95
+ "epoch": 2.0,
96
+ "eval_LOC": {
97
+ "f1": 0.8009789829454955,
98
+ "number": 12507,
99
+ "precision": 0.7789783889980354,
100
+ "recall": 0.824258415287439
101
+ },
102
+ "eval_MISC": {
103
+ "f1": 0.7636171337916445,
104
+ "number": 2816,
105
+ "precision": 0.7581379068953448,
106
+ "recall": 0.7691761363636364
107
+ },
108
+ "eval_NORP": {
109
+ "f1": 0.8755772529357434,
110
+ "number": 10969,
111
+ "precision": 0.8458531611148878,
112
+ "recall": 0.9074664964901085
113
+ },
114
+ "eval_PER": {
115
+ "f1": 0.9198921794894381,
116
+ "number": 28256,
117
+ "precision": 0.9158744079985968,
118
+ "recall": 0.9239453567383918
119
+ },
120
+ "eval_loss": 0.1091507151722908,
121
+ "eval_overall_accuracy": 0.9707860445565364,
122
+ "eval_overall_f1": 0.8752163877668782,
123
+ "eval_overall_precision": 0.8611170250514513,
124
+ "eval_overall_recall": 0.8897851433599765,
125
+ "eval_runtime": 59.0952,
126
+ "eval_samples_per_second": 71.681,
127
+ "eval_steps_per_second": 8.969,
128
+ "step": 4238
129
+ },
130
+ {
131
+ "epoch": 2.12,
132
+ "learning_rate": 1.575271354412459e-05,
133
+ "loss": 0.0739,
134
+ "step": 4500
135
+ },
136
+ {
137
+ "epoch": 2.36,
138
+ "learning_rate": 1.52807928268051e-05,
139
+ "loss": 0.0616,
140
+ "step": 5000
141
+ },
142
+ {
143
+ "epoch": 2.6,
144
+ "learning_rate": 1.4808872109485608e-05,
145
+ "loss": 0.062,
146
+ "step": 5500
147
+ },
148
+ {
149
+ "epoch": 2.83,
150
+ "learning_rate": 1.4336951392166117e-05,
151
+ "loss": 0.0629,
152
+ "step": 6000
153
+ },
154
+ {
155
+ "epoch": 3.0,
156
+ "eval_LOC": {
157
+ "f1": 0.7920257336880983,
158
+ "number": 12507,
159
+ "precision": 0.7868076376834464,
160
+ "recall": 0.797313504437515
161
+ },
162
+ "eval_MISC": {
163
+ "f1": 0.7715430861723446,
164
+ "number": 2816,
165
+ "precision": 0.8854645814167433,
166
+ "recall": 0.68359375
167
+ },
168
+ "eval_NORP": {
169
+ "f1": 0.8747102811912363,
170
+ "number": 10969,
171
+ "precision": 0.8405614388972936,
172
+ "recall": 0.9117512991156896
173
+ },
174
+ "eval_PER": {
175
+ "f1": 0.9222061110043501,
176
+ "number": 28256,
177
+ "precision": 0.910608935656374,
178
+ "recall": 0.9341024915062288
179
+ },
180
+ "eval_loss": 0.11280690133571625,
181
+ "eval_overall_accuracy": 0.9706866387194256,
182
+ "eval_overall_f1": 0.8758149783730356,
183
+ "eval_overall_precision": 0.8665195313200912,
184
+ "eval_overall_recall": 0.8853120187724572,
185
+ "eval_runtime": 59.3431,
186
+ "eval_samples_per_second": 71.381,
187
+ "eval_steps_per_second": 8.931,
188
+ "step": 6357
189
+ },
190
+ {
191
+ "epoch": 3.07,
192
+ "learning_rate": 1.3865030674846627e-05,
193
+ "loss": 0.0554,
194
+ "step": 6500
195
+ },
196
+ {
197
+ "epoch": 3.3,
198
+ "learning_rate": 1.3393109957527137e-05,
199
+ "loss": 0.0433,
200
+ "step": 7000
201
+ },
202
+ {
203
+ "epoch": 3.54,
204
+ "learning_rate": 1.2921189240207645e-05,
205
+ "loss": 0.0442,
206
+ "step": 7500
207
+ },
208
+ {
209
+ "epoch": 3.78,
210
+ "learning_rate": 1.2449268522888157e-05,
211
+ "loss": 0.0409,
212
+ "step": 8000
213
+ },
214
+ {
215
+ "epoch": 4.0,
216
+ "eval_LOC": {
217
+ "f1": 0.8152558604321939,
218
+ "number": 12507,
219
+ "precision": 0.8505647263249348,
220
+ "recall": 0.7827616534740546
221
+ },
222
+ "eval_MISC": {
223
+ "f1": 0.7983193277310924,
224
+ "number": 2816,
225
+ "precision": 0.8220466516177577,
226
+ "recall": 0.7759232954545454
227
+ },
228
+ "eval_NORP": {
229
+ "f1": 0.886389100524358,
230
+ "number": 10969,
231
+ "precision": 0.8717383638928068,
232
+ "recall": 0.901540705624943
233
+ },
234
+ "eval_PER": {
235
+ "f1": 0.9238697668005309,
236
+ "number": 28256,
237
+ "precision": 0.9004804623189867,
238
+ "recall": 0.9485065118912798
239
+ },
240
+ "eval_loss": 0.11524520814418793,
241
+ "eval_overall_accuracy": 0.9734700021585267,
242
+ "eval_overall_f1": 0.8862442293508646,
243
+ "eval_overall_precision": 0.8804161013116237,
244
+ "eval_overall_recall": 0.8921500329984601,
245
+ "eval_runtime": 59.3779,
246
+ "eval_samples_per_second": 71.34,
247
+ "eval_steps_per_second": 8.926,
248
+ "step": 8476
249
+ },
250
+ {
251
+ "epoch": 4.01,
252
+ "learning_rate": 1.1977347805568667e-05,
253
+ "loss": 0.0461,
254
+ "step": 8500
255
+ },
256
+ {
257
+ "epoch": 4.25,
258
+ "learning_rate": 1.1505427088249175e-05,
259
+ "loss": 0.028,
260
+ "step": 9000
261
+ },
262
+ {
263
+ "epoch": 4.48,
264
+ "learning_rate": 1.1033506370929685e-05,
265
+ "loss": 0.0289,
266
+ "step": 9500
267
+ },
268
+ {
269
+ "epoch": 4.72,
270
+ "learning_rate": 1.0561585653610193e-05,
271
+ "loss": 0.0331,
272
+ "step": 10000
273
+ },
274
+ {
275
+ "epoch": 4.96,
276
+ "learning_rate": 1.0089664936290703e-05,
277
+ "loss": 0.0306,
278
+ "step": 10500
279
+ },
280
+ {
281
+ "epoch": 5.0,
282
+ "eval_LOC": {
283
+ "f1": 0.8143539881344759,
284
+ "number": 12507,
285
+ "precision": 0.8400339991500213,
286
+ "recall": 0.7901974894059327
287
+ },
288
+ "eval_MISC": {
289
+ "f1": 0.8030969558331867,
290
+ "number": 2816,
291
+ "precision": 0.7959539588419952,
292
+ "recall": 0.8103693181818182
293
+ },
294
+ "eval_NORP": {
295
+ "f1": 0.893543068490709,
296
+ "number": 10969,
297
+ "precision": 0.8739539748953975,
298
+ "recall": 0.9140304494484456
299
+ },
300
+ "eval_PER": {
301
+ "f1": 0.9285937771597428,
302
+ "number": 28256,
303
+ "precision": 0.9124479059916649,
304
+ "recall": 0.9453213476783692
305
+ },
306
+ "eval_loss": 0.1234506368637085,
307
+ "eval_overall_accuracy": 0.9740408756802199,
308
+ "eval_overall_f1": 0.8897258155486418,
309
+ "eval_overall_precision": 0.8830582541803604,
310
+ "eval_overall_recall": 0.8964948302412554,
311
+ "eval_runtime": 58.1348,
312
+ "eval_samples_per_second": 72.865,
313
+ "eval_steps_per_second": 9.117,
314
+ "step": 10595
315
+ },
316
+ {
317
+ "epoch": 5.19,
318
+ "learning_rate": 9.617744218971213e-06,
319
+ "loss": 0.0237,
320
+ "step": 11000
321
+ },
322
+ {
323
+ "epoch": 5.43,
324
+ "learning_rate": 9.145823501651723e-06,
325
+ "loss": 0.023,
326
+ "step": 11500
327
+ },
328
+ {
329
+ "epoch": 5.66,
330
+ "learning_rate": 8.673902784332233e-06,
331
+ "loss": 0.0246,
332
+ "step": 12000
333
+ },
334
+ {
335
+ "epoch": 5.9,
336
+ "learning_rate": 8.201982067012742e-06,
337
+ "loss": 0.0184,
338
+ "step": 12500
339
+ },
340
+ {
341
+ "epoch": 6.0,
342
+ "eval_LOC": {
343
+ "f1": 0.8221609305672143,
344
+ "number": 12507,
345
+ "precision": 0.822062350119904,
346
+ "recall": 0.8222595346605901
347
+ },
348
+ "eval_MISC": {
349
+ "f1": 0.8192371475953565,
350
+ "number": 2816,
351
+ "precision": 0.8513979318268863,
352
+ "recall": 0.7894176136363636
353
+ },
354
+ "eval_NORP": {
355
+ "f1": 0.8961138379790156,
356
+ "number": 10969,
357
+ "precision": 0.8853888592276206,
358
+ "recall": 0.9071018324368675
359
+ },
360
+ "eval_PER": {
361
+ "f1": 0.9297248123720718,
362
+ "number": 28256,
363
+ "precision": 0.9192873205327798,
364
+ "recall": 0.9404020385050963
365
+ },
366
+ "eval_loss": 0.1410222351551056,
367
+ "eval_overall_accuracy": 0.9745975483680401,
368
+ "eval_overall_f1": 0.8929625177576221,
369
+ "eval_overall_precision": 0.8871779096699479,
370
+ "eval_overall_recall": 0.8988230549241035,
371
+ "eval_runtime": 60.1835,
372
+ "eval_samples_per_second": 70.385,
373
+ "eval_steps_per_second": 8.806,
374
+ "step": 12714
375
+ },
376
+ {
377
+ "epoch": 6.13,
378
+ "learning_rate": 7.730061349693252e-06,
379
+ "loss": 0.0181,
380
+ "step": 13000
381
+ },
382
+ {
383
+ "epoch": 6.37,
384
+ "learning_rate": 7.258140632373761e-06,
385
+ "loss": 0.014,
386
+ "step": 13500
387
+ },
388
+ {
389
+ "epoch": 6.61,
390
+ "learning_rate": 6.786219915054272e-06,
391
+ "loss": 0.0152,
392
+ "step": 14000
393
+ },
394
+ {
395
+ "epoch": 6.84,
396
+ "learning_rate": 6.314299197734781e-06,
397
+ "loss": 0.0144,
398
+ "step": 14500
399
+ },
400
+ {
401
+ "epoch": 7.0,
402
+ "eval_LOC": {
403
+ "f1": 0.8194483254161512,
404
+ "number": 12507,
405
+ "precision": 0.8182397959183674,
406
+ "recall": 0.8206604301591109
407
+ },
408
+ "eval_MISC": {
409
+ "f1": 0.8199495858840475,
410
+ "number": 2816,
411
+ "precision": 0.8316289262235208,
412
+ "recall": 0.80859375
413
+ },
414
+ "eval_NORP": {
415
+ "f1": 0.8962966345495228,
416
+ "number": 10969,
417
+ "precision": 0.8978956999085087,
418
+ "recall": 0.8947032546266752
419
+ },
420
+ "eval_PER": {
421
+ "f1": 0.9302089886069755,
422
+ "number": 28256,
423
+ "precision": 0.9187146210133922,
424
+ "recall": 0.9419946206115515
425
+ },
426
+ "eval_loss": 0.15106713771820068,
427
+ "eval_overall_accuracy": 0.9748702043784011,
428
+ "eval_overall_f1": 0.8925746363868333,
429
+ "eval_overall_precision": 0.8874311394607133,
430
+ "eval_overall_recall": 0.8977781036884945,
431
+ "eval_runtime": 57.4606,
432
+ "eval_samples_per_second": 73.72,
433
+ "eval_steps_per_second": 9.224,
434
+ "step": 14833
435
+ },
436
+ {
437
+ "epoch": 7.08,
438
+ "learning_rate": 5.84237848041529e-06,
439
+ "loss": 0.0142,
440
+ "step": 15000
441
+ },
442
+ {
443
+ "epoch": 7.31,
444
+ "learning_rate": 5.3704577630958e-06,
445
+ "loss": 0.0113,
446
+ "step": 15500
447
+ },
448
+ {
449
+ "epoch": 7.55,
450
+ "learning_rate": 4.89853704577631e-06,
451
+ "loss": 0.0094,
452
+ "step": 16000
453
+ },
454
+ {
455
+ "epoch": 7.79,
456
+ "learning_rate": 4.42661632845682e-06,
457
+ "loss": 0.0118,
458
+ "step": 16500
459
+ },
460
+ {
461
+ "epoch": 8.0,
462
+ "eval_LOC": {
463
+ "f1": 0.8198295522746369,
464
+ "number": 12507,
465
+ "precision": 0.8205189812590101,
466
+ "recall": 0.8191412808827057
467
+ },
468
+ "eval_MISC": {
469
+ "f1": 0.8218876239441792,
470
+ "number": 2816,
471
+ "precision": 0.8509505703422053,
472
+ "recall": 0.7947443181818182
473
+ },
474
+ "eval_NORP": {
475
+ "f1": 0.8973384030418251,
476
+ "number": 10969,
477
+ "precision": 0.8911264946507237,
478
+ "recall": 0.9036375239310785
479
+ },
480
+ "eval_PER": {
481
+ "f1": 0.9298639775676194,
482
+ "number": 28256,
483
+ "precision": 0.9154349987997669,
484
+ "recall": 0.9447550962627407
485
+ },
486
+ "eval_loss": 0.16531305015087128,
487
+ "eval_overall_accuracy": 0.9748900855458232,
488
+ "eval_overall_f1": 0.8929675846763926,
489
+ "eval_overall_precision": 0.886101083032491,
490
+ "eval_overall_recall": 0.8999413360709834,
491
+ "eval_runtime": 59.2269,
492
+ "eval_samples_per_second": 71.522,
493
+ "eval_steps_per_second": 8.949,
494
+ "step": 16952
495
+ },
496
+ {
497
+ "epoch": 8.02,
498
+ "learning_rate": 3.954695611137329e-06,
499
+ "loss": 0.009,
500
+ "step": 17000
501
+ },
502
+ {
503
+ "epoch": 8.26,
504
+ "learning_rate": 3.482774893817839e-06,
505
+ "loss": 0.007,
506
+ "step": 17500
507
+ },
508
+ {
509
+ "epoch": 8.49,
510
+ "learning_rate": 3.0108541764983485e-06,
511
+ "loss": 0.0072,
512
+ "step": 18000
513
+ },
514
+ {
515
+ "epoch": 8.73,
516
+ "learning_rate": 2.5389334591788585e-06,
517
+ "loss": 0.009,
518
+ "step": 18500
519
+ },
520
+ {
521
+ "epoch": 8.97,
522
+ "learning_rate": 2.0670127418593677e-06,
523
+ "loss": 0.0076,
524
+ "step": 19000
525
+ },
526
+ {
527
+ "epoch": 9.0,
528
+ "eval_LOC": {
529
+ "f1": 0.8171711433904082,
530
+ "number": 12507,
531
+ "precision": 0.8295576241865062,
532
+ "recall": 0.805149116494763
533
+ },
534
+ "eval_MISC": {
535
+ "f1": 0.8233618233618233,
536
+ "number": 2816,
537
+ "precision": 0.8257142857142857,
538
+ "recall": 0.8210227272727273
539
+ },
540
+ "eval_NORP": {
541
+ "f1": 0.8973920863309351,
542
+ "number": 10969,
543
+ "precision": 0.8853695324283559,
544
+ "recall": 0.9097456468228644
545
+ },
546
+ "eval_PER": {
547
+ "f1": 0.9303293743112526,
548
+ "number": 28256,
549
+ "precision": 0.9197592778335005,
550
+ "recall": 0.9411452434881087
551
+ },
552
+ "eval_loss": 0.16768833994865417,
553
+ "eval_overall_accuracy": 0.9747083148722493,
554
+ "eval_overall_f1": 0.8927428399485734,
555
+ "eval_overall_precision": 0.8880866425992779,
556
+ "eval_overall_recall": 0.8974481190877759,
557
+ "eval_runtime": 59.1217,
558
+ "eval_samples_per_second": 71.649,
559
+ "eval_steps_per_second": 8.965,
560
+ "step": 19071
561
+ },
562
+ {
563
+ "epoch": 9.2,
564
+ "learning_rate": 1.5950920245398775e-06,
565
+ "loss": 0.0063,
566
+ "step": 19500
567
+ },
568
+ {
569
+ "epoch": 9.44,
570
+ "learning_rate": 1.123171307220387e-06,
571
+ "loss": 0.005,
572
+ "step": 20000
573
+ },
574
+ {
575
+ "epoch": 9.67,
576
+ "learning_rate": 6.512505899008966e-07,
577
+ "loss": 0.0046,
578
+ "step": 20500
579
+ },
580
+ {
581
+ "epoch": 9.91,
582
+ "learning_rate": 1.7932987258140632e-07,
583
+ "loss": 0.0056,
584
+ "step": 21000
585
+ },
586
+ {
587
+ "epoch": 10.0,
588
+ "eval_LOC": {
589
+ "f1": 0.8228770339188861,
590
+ "number": 12507,
591
+ "precision": 0.833265021723092,
592
+ "recall": 0.812744862876789
593
+ },
594
+ "eval_MISC": {
595
+ "f1": 0.8222182275750494,
596
+ "number": 2816,
597
+ "precision": 0.8325445941026575,
598
+ "recall": 0.8121448863636364
599
+ },
600
+ "eval_NORP": {
601
+ "f1": 0.8972602739726027,
602
+ "number": 10969,
603
+ "precision": 0.8871068341798093,
604
+ "recall": 0.907648828516729
605
+ },
606
+ "eval_PER": {
607
+ "f1": 0.9305083267939662,
608
+ "number": 28256,
609
+ "precision": 0.917185190278112,
610
+ "recall": 0.9442242355605889
611
+ },
612
+ "eval_loss": 0.17190925776958466,
613
+ "eval_overall_accuracy": 0.9750008520500324,
614
+ "eval_overall_f1": 0.8940859333734041,
615
+ "eval_overall_precision": 0.888341959535271,
616
+ "eval_overall_recall": 0.899904671115348,
617
+ "eval_runtime": 57.6029,
618
+ "eval_samples_per_second": 73.538,
619
+ "eval_steps_per_second": 9.201,
620
+ "step": 21190
621
+ }
622
+ ],
623
+ "max_steps": 21190,
624
+ "num_train_epochs": 10,
625
+ "total_flos": 1.5668822780351856e+16,
626
+ "trial_name": null,
627
+ "trial_params": null
628
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee915afba970edaa135a6195a84593be8bbe480d838d1307a2119dbfcfd4e7d8
3
+ size 4088