Cameron Clarke commited on
Commit
0e2363d
1 Parent(s): 07d0ea7
config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-cased",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "gradient_checkpointing": false,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "LABEL_0",
13
+ "1": "LABEL_1",
14
+ "2": "LABEL_2"
15
+ },
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "LABEL_0": 0,
20
+ "LABEL_1": 1,
21
+ "LABEL_2": 2
22
+ },
23
+ "layer_norm_eps": 1e-12,
24
+ "max_position_embeddings": 512,
25
+ "model_type": "bert",
26
+ "num_attention_heads": 12,
27
+ "num_hidden_layers": 12,
28
+ "pad_token_id": 0,
29
+ "position_embedding_type": "absolute",
30
+ "transformers_version": "4.5.0",
31
+ "type_vocab_size": 2,
32
+ "use_cache": true,
33
+ "vocab_size": 28996
34
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a205c2f665fa563cd149e69ccbd1088373daec6315cc672b7e8f53e6d68d3ab7
3
+ size 866627217
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80f8f92f49a569a584b8a0ee4e52bbfbc9cc46a593c0792df8eec3a5fc82fdc9
3
+ size 433339657
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd9c7a4ba389304f11f5f746fdc797654c098d9eaf61a2d6478ccc888d71124c
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
1
+ {"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": false, "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, "special_tokens_map_file": null, "name_or_path": "bert-base-cased"}
trainer_state.json ADDED
@@ -0,0 +1,1364 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8071770624962116,
3
+ "best_model_checkpoint": "/scratch/ccc779/sbic_offensiveness_model/checkpoint-55442",
4
+ "epoch": 2.0,
5
+ "global_step": 110884,
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": 1.2126612314737829e-05,
13
+ "loss": 0.917,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 1.2071683102556998e-05,
19
+ "loss": 0.9735,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.03,
24
+ "learning_rate": 1.2016753890376165e-05,
25
+ "loss": 1.045,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.04,
30
+ "learning_rate": 1.1961824678195334e-05,
31
+ "loss": 1.0762,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.05,
36
+ "learning_rate": 1.1906895466014503e-05,
37
+ "loss": 1.0967,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.05,
42
+ "learning_rate": 1.1851966253833671e-05,
43
+ "loss": 1.0201,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.06,
48
+ "learning_rate": 1.1797037041652839e-05,
49
+ "loss": 1.0907,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.07,
54
+ "learning_rate": 1.1742107829472006e-05,
55
+ "loss": 1.0534,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.08,
60
+ "learning_rate": 1.1687178617291175e-05,
61
+ "loss": 1.0246,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.09,
66
+ "learning_rate": 1.1632249405110344e-05,
67
+ "loss": 1.0328,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.1,
72
+ "learning_rate": 1.1577320192929512e-05,
73
+ "loss": 1.0292,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.11,
78
+ "learning_rate": 1.1522390980748681e-05,
79
+ "loss": 1.0483,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.12,
84
+ "learning_rate": 1.146746176856785e-05,
85
+ "loss": 1.0784,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 0.13,
90
+ "learning_rate": 1.1412532556387017e-05,
91
+ "loss": 0.9617,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 0.14,
96
+ "learning_rate": 1.1357603344206186e-05,
97
+ "loss": 0.9761,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 0.14,
102
+ "learning_rate": 1.1302674132025355e-05,
103
+ "loss": 0.9707,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 0.15,
108
+ "learning_rate": 1.1247744919844524e-05,
109
+ "loss": 1.0156,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 0.16,
114
+ "learning_rate": 1.1192815707663693e-05,
115
+ "loss": 1.0076,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 0.17,
120
+ "learning_rate": 1.113788649548286e-05,
121
+ "loss": 1.0648,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 0.18,
126
+ "learning_rate": 1.1082957283302027e-05,
127
+ "loss": 0.9915,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 0.19,
132
+ "learning_rate": 1.1028028071121196e-05,
133
+ "loss": 0.9352,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 0.2,
138
+ "learning_rate": 1.0973098858940365e-05,
139
+ "loss": 0.9666,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 0.21,
144
+ "learning_rate": 1.0918169646759534e-05,
145
+ "loss": 0.9732,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 0.22,
150
+ "learning_rate": 1.0863240434578701e-05,
151
+ "loss": 0.9314,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 0.23,
156
+ "learning_rate": 1.080831122239787e-05,
157
+ "loss": 0.9898,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 0.23,
162
+ "learning_rate": 1.0753382010217039e-05,
163
+ "loss": 0.9133,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 0.24,
168
+ "learning_rate": 1.0698452798036208e-05,
169
+ "loss": 0.9795,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 0.25,
174
+ "learning_rate": 1.0643523585855376e-05,
175
+ "loss": 0.9306,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 0.26,
180
+ "learning_rate": 1.0588594373674544e-05,
181
+ "loss": 1.0033,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 0.27,
186
+ "learning_rate": 1.0533665161493712e-05,
187
+ "loss": 0.958,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 0.28,
192
+ "learning_rate": 1.0478735949312881e-05,
193
+ "loss": 0.9671,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 0.29,
198
+ "learning_rate": 1.0423806737132048e-05,
199
+ "loss": 0.9541,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 0.3,
204
+ "learning_rate": 1.0368877524951217e-05,
205
+ "loss": 0.984,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 0.31,
210
+ "learning_rate": 1.0313948312770386e-05,
211
+ "loss": 0.9726,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 0.32,
216
+ "learning_rate": 1.0259019100589553e-05,
217
+ "loss": 0.9566,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 0.32,
222
+ "learning_rate": 1.0204089888408722e-05,
223
+ "loss": 0.8828,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 0.33,
228
+ "learning_rate": 1.0149160676227891e-05,
229
+ "loss": 0.9034,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 0.34,
234
+ "learning_rate": 1.009423146404706e-05,
235
+ "loss": 0.9196,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 0.35,
240
+ "learning_rate": 1.0039302251866229e-05,
241
+ "loss": 0.9549,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 0.36,
246
+ "learning_rate": 9.984373039685396e-06,
247
+ "loss": 0.9173,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 0.37,
252
+ "learning_rate": 9.929443827504565e-06,
253
+ "loss": 0.904,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 0.38,
258
+ "learning_rate": 9.874514615323734e-06,
259
+ "loss": 0.9472,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 0.39,
264
+ "learning_rate": 9.819585403142903e-06,
265
+ "loss": 0.9822,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 0.4,
270
+ "learning_rate": 9.76465619096207e-06,
271
+ "loss": 0.9483,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 0.41,
276
+ "learning_rate": 9.709726978781239e-06,
277
+ "loss": 0.9373,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 0.41,
282
+ "learning_rate": 9.654797766600406e-06,
283
+ "loss": 0.9935,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 0.42,
288
+ "learning_rate": 9.599868554419575e-06,
289
+ "loss": 0.9639,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 0.43,
294
+ "learning_rate": 9.544939342238744e-06,
295
+ "loss": 0.8847,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 0.44,
300
+ "learning_rate": 9.490010130057912e-06,
301
+ "loss": 0.8719,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 0.45,
306
+ "learning_rate": 9.43508091787708e-06,
307
+ "loss": 0.8415,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 0.46,
312
+ "learning_rate": 9.380151705696248e-06,
313
+ "loss": 1.0052,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 0.47,
318
+ "learning_rate": 9.325222493515417e-06,
319
+ "loss": 0.9453,
320
+ "step": 26000
321
+ },
322
+ {
323
+ "epoch": 0.48,
324
+ "learning_rate": 9.270293281334586e-06,
325
+ "loss": 0.8958,
326
+ "step": 26500
327
+ },
328
+ {
329
+ "epoch": 0.49,
330
+ "learning_rate": 9.215364069153755e-06,
331
+ "loss": 0.9676,
332
+ "step": 27000
333
+ },
334
+ {
335
+ "epoch": 0.5,
336
+ "learning_rate": 9.160434856972924e-06,
337
+ "loss": 0.961,
338
+ "step": 27500
339
+ },
340
+ {
341
+ "epoch": 0.51,
342
+ "learning_rate": 9.105505644792091e-06,
343
+ "loss": 0.9183,
344
+ "step": 28000
345
+ },
346
+ {
347
+ "epoch": 0.51,
348
+ "learning_rate": 9.05057643261126e-06,
349
+ "loss": 0.8921,
350
+ "step": 28500
351
+ },
352
+ {
353
+ "epoch": 0.52,
354
+ "learning_rate": 8.995647220430427e-06,
355
+ "loss": 0.8327,
356
+ "step": 29000
357
+ },
358
+ {
359
+ "epoch": 0.53,
360
+ "learning_rate": 8.940718008249596e-06,
361
+ "loss": 0.9493,
362
+ "step": 29500
363
+ },
364
+ {
365
+ "epoch": 0.54,
366
+ "learning_rate": 8.885788796068765e-06,
367
+ "loss": 0.8975,
368
+ "step": 30000
369
+ },
370
+ {
371
+ "epoch": 0.55,
372
+ "learning_rate": 8.830859583887932e-06,
373
+ "loss": 0.9427,
374
+ "step": 30500
375
+ },
376
+ {
377
+ "epoch": 0.56,
378
+ "learning_rate": 8.7759303717071e-06,
379
+ "loss": 0.91,
380
+ "step": 31000
381
+ },
382
+ {
383
+ "epoch": 0.57,
384
+ "learning_rate": 8.72100115952627e-06,
385
+ "loss": 0.9484,
386
+ "step": 31500
387
+ },
388
+ {
389
+ "epoch": 0.58,
390
+ "learning_rate": 8.666071947345439e-06,
391
+ "loss": 0.8844,
392
+ "step": 32000
393
+ },
394
+ {
395
+ "epoch": 0.59,
396
+ "learning_rate": 8.611142735164607e-06,
397
+ "loss": 0.9076,
398
+ "step": 32500
399
+ },
400
+ {
401
+ "epoch": 0.6,
402
+ "learning_rate": 8.556213522983775e-06,
403
+ "loss": 0.8977,
404
+ "step": 33000
405
+ },
406
+ {
407
+ "epoch": 0.6,
408
+ "learning_rate": 8.501284310802943e-06,
409
+ "loss": 0.8833,
410
+ "step": 33500
411
+ },
412
+ {
413
+ "epoch": 0.61,
414
+ "learning_rate": 8.446355098622112e-06,
415
+ "loss": 0.8685,
416
+ "step": 34000
417
+ },
418
+ {
419
+ "epoch": 0.62,
420
+ "learning_rate": 8.391425886441281e-06,
421
+ "loss": 0.8938,
422
+ "step": 34500
423
+ },
424
+ {
425
+ "epoch": 0.63,
426
+ "learning_rate": 8.336496674260448e-06,
427
+ "loss": 0.862,
428
+ "step": 35000
429
+ },
430
+ {
431
+ "epoch": 0.64,
432
+ "learning_rate": 8.281567462079617e-06,
433
+ "loss": 0.9537,
434
+ "step": 35500
435
+ },
436
+ {
437
+ "epoch": 0.65,
438
+ "learning_rate": 8.226638249898784e-06,
439
+ "loss": 0.8841,
440
+ "step": 36000
441
+ },
442
+ {
443
+ "epoch": 0.66,
444
+ "learning_rate": 8.171709037717953e-06,
445
+ "loss": 0.9267,
446
+ "step": 36500
447
+ },
448
+ {
449
+ "epoch": 0.67,
450
+ "learning_rate": 8.116779825537122e-06,
451
+ "loss": 0.929,
452
+ "step": 37000
453
+ },
454
+ {
455
+ "epoch": 0.68,
456
+ "learning_rate": 8.061850613356291e-06,
457
+ "loss": 0.9398,
458
+ "step": 37500
459
+ },
460
+ {
461
+ "epoch": 0.69,
462
+ "learning_rate": 8.00692140117546e-06,
463
+ "loss": 0.9289,
464
+ "step": 38000
465
+ },
466
+ {
467
+ "epoch": 0.69,
468
+ "learning_rate": 7.951992188994627e-06,
469
+ "loss": 0.9559,
470
+ "step": 38500
471
+ },
472
+ {
473
+ "epoch": 0.7,
474
+ "learning_rate": 7.897062976813796e-06,
475
+ "loss": 0.9307,
476
+ "step": 39000
477
+ },
478
+ {
479
+ "epoch": 0.71,
480
+ "learning_rate": 7.842133764632965e-06,
481
+ "loss": 0.8903,
482
+ "step": 39500
483
+ },
484
+ {
485
+ "epoch": 0.72,
486
+ "learning_rate": 7.787204552452134e-06,
487
+ "loss": 0.917,
488
+ "step": 40000
489
+ },
490
+ {
491
+ "epoch": 0.73,
492
+ "learning_rate": 7.732275340271303e-06,
493
+ "loss": 0.8122,
494
+ "step": 40500
495
+ },
496
+ {
497
+ "epoch": 0.74,
498
+ "learning_rate": 7.67734612809047e-06,
499
+ "loss": 0.8607,
500
+ "step": 41000
501
+ },
502
+ {
503
+ "epoch": 0.75,
504
+ "learning_rate": 7.622416915909638e-06,
505
+ "loss": 0.7791,
506
+ "step": 41500
507
+ },
508
+ {
509
+ "epoch": 0.76,
510
+ "learning_rate": 7.5674877037288066e-06,
511
+ "loss": 0.9309,
512
+ "step": 42000
513
+ },
514
+ {
515
+ "epoch": 0.77,
516
+ "learning_rate": 7.5125584915479754e-06,
517
+ "loss": 0.9187,
518
+ "step": 42500
519
+ },
520
+ {
521
+ "epoch": 0.78,
522
+ "learning_rate": 7.4576292793671434e-06,
523
+ "loss": 0.9128,
524
+ "step": 43000
525
+ },
526
+ {
527
+ "epoch": 0.78,
528
+ "learning_rate": 7.4027000671863115e-06,
529
+ "loss": 0.887,
530
+ "step": 43500
531
+ },
532
+ {
533
+ "epoch": 0.79,
534
+ "learning_rate": 7.3477708550054795e-06,
535
+ "loss": 0.8972,
536
+ "step": 44000
537
+ },
538
+ {
539
+ "epoch": 0.8,
540
+ "learning_rate": 7.292841642824648e-06,
541
+ "loss": 0.8416,
542
+ "step": 44500
543
+ },
544
+ {
545
+ "epoch": 0.81,
546
+ "learning_rate": 7.237912430643817e-06,
547
+ "loss": 0.8631,
548
+ "step": 45000
549
+ },
550
+ {
551
+ "epoch": 0.82,
552
+ "learning_rate": 7.182983218462986e-06,
553
+ "loss": 0.8923,
554
+ "step": 45500
555
+ },
556
+ {
557
+ "epoch": 0.83,
558
+ "learning_rate": 7.128054006282153e-06,
559
+ "loss": 0.8394,
560
+ "step": 46000
561
+ },
562
+ {
563
+ "epoch": 0.84,
564
+ "learning_rate": 7.073124794101322e-06,
565
+ "loss": 0.91,
566
+ "step": 46500
567
+ },
568
+ {
569
+ "epoch": 0.85,
570
+ "learning_rate": 7.01819558192049e-06,
571
+ "loss": 0.8782,
572
+ "step": 47000
573
+ },
574
+ {
575
+ "epoch": 0.86,
576
+ "learning_rate": 6.963266369739659e-06,
577
+ "loss": 0.8415,
578
+ "step": 47500
579
+ },
580
+ {
581
+ "epoch": 0.87,
582
+ "learning_rate": 6.908337157558828e-06,
583
+ "loss": 0.8202,
584
+ "step": 48000
585
+ },
586
+ {
587
+ "epoch": 0.87,
588
+ "learning_rate": 6.853407945377997e-06,
589
+ "loss": 0.8648,
590
+ "step": 48500
591
+ },
592
+ {
593
+ "epoch": 0.88,
594
+ "learning_rate": 6.798478733197164e-06,
595
+ "loss": 0.8353,
596
+ "step": 49000
597
+ },
598
+ {
599
+ "epoch": 0.89,
600
+ "learning_rate": 6.743549521016333e-06,
601
+ "loss": 0.8785,
602
+ "step": 49500
603
+ },
604
+ {
605
+ "epoch": 0.9,
606
+ "learning_rate": 6.688620308835501e-06,
607
+ "loss": 0.8593,
608
+ "step": 50000
609
+ },
610
+ {
611
+ "epoch": 0.91,
612
+ "learning_rate": 6.63369109665467e-06,
613
+ "loss": 0.866,
614
+ "step": 50500
615
+ },
616
+ {
617
+ "epoch": 0.92,
618
+ "learning_rate": 6.5787618844738385e-06,
619
+ "loss": 0.8312,
620
+ "step": 51000
621
+ },
622
+ {
623
+ "epoch": 0.93,
624
+ "learning_rate": 6.523832672293006e-06,
625
+ "loss": 0.8588,
626
+ "step": 51500
627
+ },
628
+ {
629
+ "epoch": 0.94,
630
+ "learning_rate": 6.4689034601121746e-06,
631
+ "loss": 0.9104,
632
+ "step": 52000
633
+ },
634
+ {
635
+ "epoch": 0.95,
636
+ "learning_rate": 6.413974247931343e-06,
637
+ "loss": 0.878,
638
+ "step": 52500
639
+ },
640
+ {
641
+ "epoch": 0.96,
642
+ "learning_rate": 6.3590450357505114e-06,
643
+ "loss": 0.9116,
644
+ "step": 53000
645
+ },
646
+ {
647
+ "epoch": 0.96,
648
+ "learning_rate": 6.30411582356968e-06,
649
+ "loss": 0.8848,
650
+ "step": 53500
651
+ },
652
+ {
653
+ "epoch": 0.97,
654
+ "learning_rate": 6.2491866113888475e-06,
655
+ "loss": 0.8784,
656
+ "step": 54000
657
+ },
658
+ {
659
+ "epoch": 0.98,
660
+ "learning_rate": 6.194257399208016e-06,
661
+ "loss": 0.8082,
662
+ "step": 54500
663
+ },
664
+ {
665
+ "epoch": 0.99,
666
+ "learning_rate": 6.139328187027185e-06,
667
+ "loss": 0.9775,
668
+ "step": 55000
669
+ },
670
+ {
671
+ "epoch": 1.0,
672
+ "eval_accuracy": 0.8071770624962115,
673
+ "eval_f1": 0.8071770624962116,
674
+ "eval_loss": 0.8160773515701294,
675
+ "eval_precision": 0.8071770624962115,
676
+ "eval_recall": 0.8071770624962115,
677
+ "eval_runtime": 106.0372,
678
+ "eval_samples_per_second": 155.577,
679
+ "step": 55442
680
+ },
681
+ {
682
+ "epoch": 1.0,
683
+ "learning_rate": 6.084398974846354e-06,
684
+ "loss": 0.8451,
685
+ "step": 55500
686
+ },
687
+ {
688
+ "epoch": 1.01,
689
+ "learning_rate": 6.029469762665522e-06,
690
+ "loss": 0.8463,
691
+ "step": 56000
692
+ },
693
+ {
694
+ "epoch": 1.02,
695
+ "learning_rate": 5.97454055048469e-06,
696
+ "loss": 0.8269,
697
+ "step": 56500
698
+ },
699
+ {
700
+ "epoch": 1.03,
701
+ "learning_rate": 5.919611338303859e-06,
702
+ "loss": 0.7929,
703
+ "step": 57000
704
+ },
705
+ {
706
+ "epoch": 1.04,
707
+ "learning_rate": 5.864682126123027e-06,
708
+ "loss": 0.7749,
709
+ "step": 57500
710
+ },
711
+ {
712
+ "epoch": 1.05,
713
+ "learning_rate": 5.809752913942196e-06,
714
+ "loss": 0.7263,
715
+ "step": 58000
716
+ },
717
+ {
718
+ "epoch": 1.06,
719
+ "learning_rate": 5.754823701761364e-06,
720
+ "loss": 0.783,
721
+ "step": 58500
722
+ },
723
+ {
724
+ "epoch": 1.06,
725
+ "learning_rate": 5.699894489580533e-06,
726
+ "loss": 0.7733,
727
+ "step": 59000
728
+ },
729
+ {
730
+ "epoch": 1.07,
731
+ "learning_rate": 5.644965277399701e-06,
732
+ "loss": 0.7848,
733
+ "step": 59500
734
+ },
735
+ {
736
+ "epoch": 1.08,
737
+ "learning_rate": 5.590036065218869e-06,
738
+ "loss": 0.7388,
739
+ "step": 60000
740
+ },
741
+ {
742
+ "epoch": 1.09,
743
+ "learning_rate": 5.535106853038038e-06,
744
+ "loss": 0.7464,
745
+ "step": 60500
746
+ },
747
+ {
748
+ "epoch": 1.1,
749
+ "learning_rate": 5.4801776408572065e-06,
750
+ "loss": 0.766,
751
+ "step": 61000
752
+ },
753
+ {
754
+ "epoch": 1.11,
755
+ "learning_rate": 5.4252484286763745e-06,
756
+ "loss": 0.7326,
757
+ "step": 61500
758
+ },
759
+ {
760
+ "epoch": 1.12,
761
+ "learning_rate": 5.370319216495543e-06,
762
+ "loss": 0.7069,
763
+ "step": 62000
764
+ },
765
+ {
766
+ "epoch": 1.13,
767
+ "learning_rate": 5.315390004314711e-06,
768
+ "loss": 0.7877,
769
+ "step": 62500
770
+ },
771
+ {
772
+ "epoch": 1.14,
773
+ "learning_rate": 5.2604607921338794e-06,
774
+ "loss": 0.7548,
775
+ "step": 63000
776
+ },
777
+ {
778
+ "epoch": 1.15,
779
+ "learning_rate": 5.205531579953048e-06,
780
+ "loss": 0.7907,
781
+ "step": 63500
782
+ },
783
+ {
784
+ "epoch": 1.15,
785
+ "learning_rate": 5.150602367772216e-06,
786
+ "loss": 0.7388,
787
+ "step": 64000
788
+ },
789
+ {
790
+ "epoch": 1.16,
791
+ "learning_rate": 5.095673155591385e-06,
792
+ "loss": 0.8162,
793
+ "step": 64500
794
+ },
795
+ {
796
+ "epoch": 1.17,
797
+ "learning_rate": 5.040743943410553e-06,
798
+ "loss": 0.7412,
799
+ "step": 65000
800
+ },
801
+ {
802
+ "epoch": 1.18,
803
+ "learning_rate": 4.985814731229722e-06,
804
+ "loss": 0.7125,
805
+ "step": 65500
806
+ },
807
+ {
808
+ "epoch": 1.19,
809
+ "learning_rate": 4.93088551904889e-06,
810
+ "loss": 0.7277,
811
+ "step": 66000
812
+ },
813
+ {
814
+ "epoch": 1.2,
815
+ "learning_rate": 4.875956306868058e-06,
816
+ "loss": 0.7701,
817
+ "step": 66500
818
+ },
819
+ {
820
+ "epoch": 1.21,
821
+ "learning_rate": 4.821027094687227e-06,
822
+ "loss": 0.8477,
823
+ "step": 67000
824
+ },
825
+ {
826
+ "epoch": 1.22,
827
+ "learning_rate": 4.766097882506396e-06,
828
+ "loss": 0.6889,
829
+ "step": 67500
830
+ },
831
+ {
832
+ "epoch": 1.23,
833
+ "learning_rate": 4.711168670325564e-06,
834
+ "loss": 0.7366,
835
+ "step": 68000
836
+ },
837
+ {
838
+ "epoch": 1.24,
839
+ "learning_rate": 4.656239458144733e-06,
840
+ "loss": 0.7619,
841
+ "step": 68500
842
+ },
843
+ {
844
+ "epoch": 1.24,
845
+ "learning_rate": 4.601310245963901e-06,
846
+ "loss": 0.7545,
847
+ "step": 69000
848
+ },
849
+ {
850
+ "epoch": 1.25,
851
+ "learning_rate": 4.546381033783069e-06,
852
+ "loss": 0.8154,
853
+ "step": 69500
854
+ },
855
+ {
856
+ "epoch": 1.26,
857
+ "learning_rate": 4.491451821602238e-06,
858
+ "loss": 0.7534,
859
+ "step": 70000
860
+ },
861
+ {
862
+ "epoch": 1.27,
863
+ "learning_rate": 4.436522609421406e-06,
864
+ "loss": 0.7664,
865
+ "step": 70500
866
+ },
867
+ {
868
+ "epoch": 1.28,
869
+ "learning_rate": 4.3815933972405745e-06,
870
+ "loss": 0.7648,
871
+ "step": 71000
872
+ },
873
+ {
874
+ "epoch": 1.29,
875
+ "learning_rate": 4.326664185059743e-06,
876
+ "loss": 0.7463,
877
+ "step": 71500
878
+ },
879
+ {
880
+ "epoch": 1.3,
881
+ "learning_rate": 4.271734972878911e-06,
882
+ "loss": 0.6641,
883
+ "step": 72000
884
+ },
885
+ {
886
+ "epoch": 1.31,
887
+ "learning_rate": 4.216805760698079e-06,
888
+ "loss": 0.8103,
889
+ "step": 72500
890
+ },
891
+ {
892
+ "epoch": 1.32,
893
+ "learning_rate": 4.161876548517247e-06,
894
+ "loss": 0.6905,
895
+ "step": 73000
896
+ },
897
+ {
898
+ "epoch": 1.33,
899
+ "learning_rate": 4.106947336336416e-06,
900
+ "loss": 0.7439,
901
+ "step": 73500
902
+ },
903
+ {
904
+ "epoch": 1.33,
905
+ "learning_rate": 4.052018124155585e-06,
906
+ "loss": 0.7842,
907
+ "step": 74000
908
+ },
909
+ {
910
+ "epoch": 1.34,
911
+ "learning_rate": 3.997088911974753e-06,
912
+ "loss": 0.7916,
913
+ "step": 74500
914
+ },
915
+ {
916
+ "epoch": 1.35,
917
+ "learning_rate": 3.942159699793922e-06,
918
+ "loss": 0.731,
919
+ "step": 75000
920
+ },
921
+ {
922
+ "epoch": 1.36,
923
+ "learning_rate": 3.88723048761309e-06,
924
+ "loss": 0.7484,
925
+ "step": 75500
926
+ },
927
+ {
928
+ "epoch": 1.37,
929
+ "learning_rate": 3.832301275432258e-06,
930
+ "loss": 0.8126,
931
+ "step": 76000
932
+ },
933
+ {
934
+ "epoch": 1.38,
935
+ "learning_rate": 3.777372063251427e-06,
936
+ "loss": 0.7575,
937
+ "step": 76500
938
+ },
939
+ {
940
+ "epoch": 1.39,
941
+ "learning_rate": 3.722442851070595e-06,
942
+ "loss": 0.758,
943
+ "step": 77000
944
+ },
945
+ {
946
+ "epoch": 1.4,
947
+ "learning_rate": 3.667513638889764e-06,
948
+ "loss": 0.7189,
949
+ "step": 77500
950
+ },
951
+ {
952
+ "epoch": 1.41,
953
+ "learning_rate": 3.6125844267089323e-06,
954
+ "loss": 0.7604,
955
+ "step": 78000
956
+ },
957
+ {
958
+ "epoch": 1.42,
959
+ "learning_rate": 3.5576552145281003e-06,
960
+ "loss": 0.7473,
961
+ "step": 78500
962
+ },
963
+ {
964
+ "epoch": 1.42,
965
+ "learning_rate": 3.502726002347269e-06,
966
+ "loss": 0.757,
967
+ "step": 79000
968
+ },
969
+ {
970
+ "epoch": 1.43,
971
+ "learning_rate": 3.4477967901664367e-06,
972
+ "loss": 0.7896,
973
+ "step": 79500
974
+ },
975
+ {
976
+ "epoch": 1.44,
977
+ "learning_rate": 3.3928675779856056e-06,
978
+ "loss": 0.8078,
979
+ "step": 80000
980
+ },
981
+ {
982
+ "epoch": 1.45,
983
+ "learning_rate": 3.3379383658047745e-06,
984
+ "loss": 0.8172,
985
+ "step": 80500
986
+ },
987
+ {
988
+ "epoch": 1.46,
989
+ "learning_rate": 3.283009153623942e-06,
990
+ "loss": 0.7771,
991
+ "step": 81000
992
+ },
993
+ {
994
+ "epoch": 1.47,
995
+ "learning_rate": 3.228079941443111e-06,
996
+ "loss": 0.7996,
997
+ "step": 81500
998
+ },
999
+ {
1000
+ "epoch": 1.48,
1001
+ "learning_rate": 3.1731507292622798e-06,
1002
+ "loss": 0.7543,
1003
+ "step": 82000
1004
+ },
1005
+ {
1006
+ "epoch": 1.49,
1007
+ "learning_rate": 3.1182215170814474e-06,
1008
+ "loss": 0.7455,
1009
+ "step": 82500
1010
+ },
1011
+ {
1012
+ "epoch": 1.5,
1013
+ "learning_rate": 3.0632923049006162e-06,
1014
+ "loss": 0.7201,
1015
+ "step": 83000
1016
+ },
1017
+ {
1018
+ "epoch": 1.51,
1019
+ "learning_rate": 3.0083630927197847e-06,
1020
+ "loss": 0.7808,
1021
+ "step": 83500
1022
+ },
1023
+ {
1024
+ "epoch": 1.52,
1025
+ "learning_rate": 2.9534338805389527e-06,
1026
+ "loss": 0.7764,
1027
+ "step": 84000
1028
+ },
1029
+ {
1030
+ "epoch": 1.52,
1031
+ "learning_rate": 2.898504668358121e-06,
1032
+ "loss": 0.655,
1033
+ "step": 84500
1034
+ },
1035
+ {
1036
+ "epoch": 1.53,
1037
+ "learning_rate": 2.84357545617729e-06,
1038
+ "loss": 0.7855,
1039
+ "step": 85000
1040
+ },
1041
+ {
1042
+ "epoch": 1.54,
1043
+ "learning_rate": 2.788646243996458e-06,
1044
+ "loss": 0.7608,
1045
+ "step": 85500
1046
+ },
1047
+ {
1048
+ "epoch": 1.55,
1049
+ "learning_rate": 2.7337170318156265e-06,
1050
+ "loss": 0.8207,
1051
+ "step": 86000
1052
+ },
1053
+ {
1054
+ "epoch": 1.56,
1055
+ "learning_rate": 2.678787819634795e-06,
1056
+ "loss": 0.7595,
1057
+ "step": 86500
1058
+ },
1059
+ {
1060
+ "epoch": 1.57,
1061
+ "learning_rate": 2.6238586074539634e-06,
1062
+ "loss": 0.8041,
1063
+ "step": 87000
1064
+ },
1065
+ {
1066
+ "epoch": 1.58,
1067
+ "learning_rate": 2.568929395273132e-06,
1068
+ "loss": 0.6658,
1069
+ "step": 87500
1070
+ },
1071
+ {
1072
+ "epoch": 1.59,
1073
+ "learning_rate": 2.5140001830923002e-06,
1074
+ "loss": 0.7488,
1075
+ "step": 88000
1076
+ },
1077
+ {
1078
+ "epoch": 1.6,
1079
+ "learning_rate": 2.4590709709114687e-06,
1080
+ "loss": 0.7215,
1081
+ "step": 88500
1082
+ },
1083
+ {
1084
+ "epoch": 1.61,
1085
+ "learning_rate": 2.4041417587306367e-06,
1086
+ "loss": 0.7365,
1087
+ "step": 89000
1088
+ },
1089
+ {
1090
+ "epoch": 1.61,
1091
+ "learning_rate": 2.3492125465498056e-06,
1092
+ "loss": 0.8205,
1093
+ "step": 89500
1094
+ },
1095
+ {
1096
+ "epoch": 1.62,
1097
+ "learning_rate": 2.294283334368974e-06,
1098
+ "loss": 0.7802,
1099
+ "step": 90000
1100
+ },
1101
+ {
1102
+ "epoch": 1.63,
1103
+ "learning_rate": 2.239354122188142e-06,
1104
+ "loss": 0.7207,
1105
+ "step": 90500
1106
+ },
1107
+ {
1108
+ "epoch": 1.64,
1109
+ "learning_rate": 2.1844249100073105e-06,
1110
+ "loss": 0.8054,
1111
+ "step": 91000
1112
+ },
1113
+ {
1114
+ "epoch": 1.65,
1115
+ "learning_rate": 2.1294956978264793e-06,
1116
+ "loss": 0.7406,
1117
+ "step": 91500
1118
+ },
1119
+ {
1120
+ "epoch": 1.66,
1121
+ "learning_rate": 2.0745664856456474e-06,
1122
+ "loss": 0.741,
1123
+ "step": 92000
1124
+ },
1125
+ {
1126
+ "epoch": 1.67,
1127
+ "learning_rate": 2.019637273464816e-06,
1128
+ "loss": 0.7407,
1129
+ "step": 92500
1130
+ },
1131
+ {
1132
+ "epoch": 1.68,
1133
+ "learning_rate": 1.9647080612839842e-06,
1134
+ "loss": 0.7229,
1135
+ "step": 93000
1136
+ },
1137
+ {
1138
+ "epoch": 1.69,
1139
+ "learning_rate": 1.9097788491031527e-06,
1140
+ "loss": 0.7627,
1141
+ "step": 93500
1142
+ },
1143
+ {
1144
+ "epoch": 1.7,
1145
+ "learning_rate": 1.8548496369223211e-06,
1146
+ "loss": 0.6487,
1147
+ "step": 94000
1148
+ },
1149
+ {
1150
+ "epoch": 1.7,
1151
+ "learning_rate": 1.7999204247414896e-06,
1152
+ "loss": 0.773,
1153
+ "step": 94500
1154
+ },
1155
+ {
1156
+ "epoch": 1.71,
1157
+ "learning_rate": 1.7449912125606578e-06,
1158
+ "loss": 0.7363,
1159
+ "step": 95000
1160
+ },
1161
+ {
1162
+ "epoch": 1.72,
1163
+ "learning_rate": 1.6900620003798264e-06,
1164
+ "loss": 0.7422,
1165
+ "step": 95500
1166
+ },
1167
+ {
1168
+ "epoch": 1.73,
1169
+ "learning_rate": 1.6351327881989949e-06,
1170
+ "loss": 0.6581,
1171
+ "step": 96000
1172
+ },
1173
+ {
1174
+ "epoch": 1.74,
1175
+ "learning_rate": 1.5802035760181631e-06,
1176
+ "loss": 0.8168,
1177
+ "step": 96500
1178
+ },
1179
+ {
1180
+ "epoch": 1.75,
1181
+ "learning_rate": 1.5252743638373316e-06,
1182
+ "loss": 0.7826,
1183
+ "step": 97000
1184
+ },
1185
+ {
1186
+ "epoch": 1.76,
1187
+ "learning_rate": 1.4703451516565e-06,
1188
+ "loss": 0.7153,
1189
+ "step": 97500
1190
+ },
1191
+ {
1192
+ "epoch": 1.77,
1193
+ "learning_rate": 1.4154159394756682e-06,
1194
+ "loss": 0.7195,
1195
+ "step": 98000
1196
+ },
1197
+ {
1198
+ "epoch": 1.78,
1199
+ "learning_rate": 1.3604867272948369e-06,
1200
+ "loss": 0.7773,
1201
+ "step": 98500
1202
+ },
1203
+ {
1204
+ "epoch": 1.79,
1205
+ "learning_rate": 1.3055575151140051e-06,
1206
+ "loss": 0.6886,
1207
+ "step": 99000
1208
+ },
1209
+ {
1210
+ "epoch": 1.79,
1211
+ "learning_rate": 1.2506283029331736e-06,
1212
+ "loss": 0.7565,
1213
+ "step": 99500
1214
+ },
1215
+ {
1216
+ "epoch": 1.8,
1217
+ "learning_rate": 1.195699090752342e-06,
1218
+ "loss": 0.7796,
1219
+ "step": 100000
1220
+ },
1221
+ {
1222
+ "epoch": 1.81,
1223
+ "learning_rate": 1.1407698785715104e-06,
1224
+ "loss": 0.7513,
1225
+ "step": 100500
1226
+ },
1227
+ {
1228
+ "epoch": 1.82,
1229
+ "learning_rate": 1.0858406663906789e-06,
1230
+ "loss": 0.6886,
1231
+ "step": 101000
1232
+ },
1233
+ {
1234
+ "epoch": 1.83,
1235
+ "learning_rate": 1.0309114542098473e-06,
1236
+ "loss": 0.7378,
1237
+ "step": 101500
1238
+ },
1239
+ {
1240
+ "epoch": 1.84,
1241
+ "learning_rate": 9.759822420290156e-07,
1242
+ "loss": 0.6769,
1243
+ "step": 102000
1244
+ },
1245
+ {
1246
+ "epoch": 1.85,
1247
+ "learning_rate": 9.210530298481841e-07,
1248
+ "loss": 0.6617,
1249
+ "step": 102500
1250
+ },
1251
+ {
1252
+ "epoch": 1.86,
1253
+ "learning_rate": 8.661238176673524e-07,
1254
+ "loss": 0.6614,
1255
+ "step": 103000
1256
+ },
1257
+ {
1258
+ "epoch": 1.87,
1259
+ "learning_rate": 8.11194605486521e-07,
1260
+ "loss": 0.6952,
1261
+ "step": 103500
1262
+ },
1263
+ {
1264
+ "epoch": 1.88,
1265
+ "learning_rate": 7.562653933056893e-07,
1266
+ "loss": 0.7845,
1267
+ "step": 104000
1268
+ },
1269
+ {
1270
+ "epoch": 1.88,
1271
+ "learning_rate": 7.013361811248578e-07,
1272
+ "loss": 0.8129,
1273
+ "step": 104500
1274
+ },
1275
+ {
1276
+ "epoch": 1.89,
1277
+ "learning_rate": 6.464069689440261e-07,
1278
+ "loss": 0.6743,
1279
+ "step": 105000
1280
+ },
1281
+ {
1282
+ "epoch": 1.9,
1283
+ "learning_rate": 5.914777567631945e-07,
1284
+ "loss": 0.6937,
1285
+ "step": 105500
1286
+ },
1287
+ {
1288
+ "epoch": 1.91,
1289
+ "learning_rate": 5.36548544582363e-07,
1290
+ "loss": 0.7081,
1291
+ "step": 106000
1292
+ },
1293
+ {
1294
+ "epoch": 1.92,
1295
+ "learning_rate": 4.816193324015313e-07,
1296
+ "loss": 0.7547,
1297
+ "step": 106500
1298
+ },
1299
+ {
1300
+ "epoch": 1.93,
1301
+ "learning_rate": 4.2669012022069976e-07,
1302
+ "loss": 0.6936,
1303
+ "step": 107000
1304
+ },
1305
+ {
1306
+ "epoch": 1.94,
1307
+ "learning_rate": 3.717609080398682e-07,
1308
+ "loss": 0.7113,
1309
+ "step": 107500
1310
+ },
1311
+ {
1312
+ "epoch": 1.95,
1313
+ "learning_rate": 3.168316958590366e-07,
1314
+ "loss": 0.8074,
1315
+ "step": 108000
1316
+ },
1317
+ {
1318
+ "epoch": 1.96,
1319
+ "learning_rate": 2.6190248367820503e-07,
1320
+ "loss": 0.6368,
1321
+ "step": 108500
1322
+ },
1323
+ {
1324
+ "epoch": 1.97,
1325
+ "learning_rate": 2.0697327149737345e-07,
1326
+ "loss": 0.8334,
1327
+ "step": 109000
1328
+ },
1329
+ {
1330
+ "epoch": 1.98,
1331
+ "learning_rate": 1.5204405931654183e-07,
1332
+ "loss": 0.6496,
1333
+ "step": 109500
1334
+ },
1335
+ {
1336
+ "epoch": 1.98,
1337
+ "learning_rate": 9.711484713571025e-08,
1338
+ "loss": 0.7561,
1339
+ "step": 110000
1340
+ },
1341
+ {
1342
+ "epoch": 1.99,
1343
+ "learning_rate": 4.218563495487866e-08,
1344
+ "loss": 0.7072,
1345
+ "step": 110500
1346
+ },
1347
+ {
1348
+ "epoch": 2.0,
1349
+ "eval_accuracy": 0.8014184397163121,
1350
+ "eval_f1": 0.8014184397163121,
1351
+ "eval_loss": 0.9014674425125122,
1352
+ "eval_precision": 0.8014184397163121,
1353
+ "eval_recall": 0.8014184397163121,
1354
+ "eval_runtime": 105.7503,
1355
+ "eval_samples_per_second": 155.999,
1356
+ "step": 110884
1357
+ }
1358
+ ],
1359
+ "max_steps": 110884,
1360
+ "num_train_epochs": 2,
1361
+ "total_flos": 5755190618166264.0,
1362
+ "trial_name": null,
1363
+ "trial_params": null
1364
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66dc6afd39337544c277f8e6c6f8dda6caad25c376ba00ef67ed5a497c6640cf
3
+ size 2351
vocab.txt ADDED
The diff for this file is too large to render. See raw diff