KarelDO commited on
Commit
3de373e
1 Parent(s): 8636d00

./output/lstm.CEBaB_confounding.food_service_positive.absa.5-class.seed_42

Browse files
Files changed (4) hide show
  1. all_results.json +16 -0
  2. eval_results.json +11 -0
  3. train_results.json +8 -0
  4. trainer_state.json +421 -0
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_Macro-F1": 0.7183109923942211,
4
+ "eval_Weighted-Macro-F1": 0.7237555392238311,
5
+ "eval_accuracy": 0.7223582211342309,
6
+ "eval_loss": 0.9910053610801697,
7
+ "eval_runtime": 1.5007,
8
+ "eval_samples": 4902,
9
+ "eval_samples_per_second": 3266.543,
10
+ "eval_steps_per_second": 102.621,
11
+ "train_loss": 0.47780078264107384,
12
+ "train_runtime": 10.6583,
13
+ "train_samples": 4228,
14
+ "train_samples_per_second": 1983.424,
15
+ "train_steps_per_second": 62.392
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_Macro-F1": 0.7183109923942211,
4
+ "eval_Weighted-Macro-F1": 0.7237555392238311,
5
+ "eval_accuracy": 0.7223582211342309,
6
+ "eval_loss": 0.9910053610801697,
7
+ "eval_runtime": 1.5007,
8
+ "eval_samples": 4902,
9
+ "eval_samples_per_second": 3266.543,
10
+ "eval_steps_per_second": 102.621
11
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "train_loss": 0.47780078264107384,
4
+ "train_runtime": 10.6583,
5
+ "train_samples": 4228,
6
+ "train_samples_per_second": 1983.424,
7
+ "train_steps_per_second": 62.392
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.0,
5
+ "global_step": 665,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.08,
12
+ "learning_rate": 0.0009849624060150376,
13
+ "loss": 1.0885,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.15,
18
+ "learning_rate": 0.0009699248120300752,
19
+ "loss": 1.028,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.23,
24
+ "learning_rate": 0.0009548872180451129,
25
+ "loss": 0.97,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.3,
30
+ "learning_rate": 0.0009398496240601504,
31
+ "loss": 0.8525,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.38,
36
+ "learning_rate": 0.000924812030075188,
37
+ "loss": 0.8267,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.45,
42
+ "learning_rate": 0.0009097744360902256,
43
+ "loss": 0.7703,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.53,
48
+ "learning_rate": 0.0008947368421052632,
49
+ "loss": 0.7238,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.6,
54
+ "learning_rate": 0.0008796992481203007,
55
+ "loss": 0.7592,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.68,
60
+ "learning_rate": 0.0008646616541353384,
61
+ "loss": 0.7658,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.75,
66
+ "learning_rate": 0.000849624060150376,
67
+ "loss": 0.7197,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.83,
72
+ "learning_rate": 0.0008345864661654136,
73
+ "loss": 0.7101,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.9,
78
+ "learning_rate": 0.0008195488721804511,
79
+ "loss": 0.7549,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.98,
84
+ "learning_rate": 0.0008045112781954887,
85
+ "loss": 0.6945,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 1.05,
90
+ "learning_rate": 0.0007894736842105263,
91
+ "loss": 0.6607,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 1.13,
96
+ "learning_rate": 0.000774436090225564,
97
+ "loss": 0.6256,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 1.2,
102
+ "learning_rate": 0.0007593984962406016,
103
+ "loss": 0.5617,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 1.28,
108
+ "learning_rate": 0.0007443609022556391,
109
+ "loss": 0.5822,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 1.35,
114
+ "learning_rate": 0.0007293233082706767,
115
+ "loss": 0.6355,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 1.43,
120
+ "learning_rate": 0.0007142857142857143,
121
+ "loss": 0.6236,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 1.5,
126
+ "learning_rate": 0.0006992481203007519,
127
+ "loss": 0.6361,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 1.58,
132
+ "learning_rate": 0.0006842105263157895,
133
+ "loss": 0.6258,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 1.65,
138
+ "learning_rate": 0.0006691729323308271,
139
+ "loss": 0.6211,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 1.73,
144
+ "learning_rate": 0.0006541353383458647,
145
+ "loss": 0.5467,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 1.8,
150
+ "learning_rate": 0.0006390977443609023,
151
+ "loss": 0.5651,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 1.88,
156
+ "learning_rate": 0.0006240601503759398,
157
+ "loss": 0.5344,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 1.95,
162
+ "learning_rate": 0.0006090225563909775,
163
+ "loss": 0.4808,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 2.03,
168
+ "learning_rate": 0.0005939849624060151,
169
+ "loss": 0.4835,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 2.11,
174
+ "learning_rate": 0.0005789473684210527,
175
+ "loss": 0.3901,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 2.18,
180
+ "learning_rate": 0.0005639097744360903,
181
+ "loss": 0.4705,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 2.26,
186
+ "learning_rate": 0.0005488721804511278,
187
+ "loss": 0.4504,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 2.33,
192
+ "learning_rate": 0.0005338345864661654,
193
+ "loss": 0.4119,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 2.41,
198
+ "learning_rate": 0.0005187969924812031,
199
+ "loss": 0.4303,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 2.48,
204
+ "learning_rate": 0.0005037593984962407,
205
+ "loss": 0.4437,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 2.56,
210
+ "learning_rate": 0.0004887218045112781,
211
+ "loss": 0.4096,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 2.63,
216
+ "learning_rate": 0.00047368421052631577,
217
+ "loss": 0.381,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 2.71,
222
+ "learning_rate": 0.00045864661654135334,
223
+ "loss": 0.3711,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 2.78,
228
+ "learning_rate": 0.000443609022556391,
229
+ "loss": 0.3948,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 2.86,
234
+ "learning_rate": 0.00042857142857142855,
235
+ "loss": 0.3547,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 2.93,
240
+ "learning_rate": 0.0004135338345864661,
241
+ "loss": 0.3901,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 3.01,
246
+ "learning_rate": 0.00039849624060150376,
247
+ "loss": 0.4044,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 3.08,
252
+ "learning_rate": 0.00038345864661654133,
253
+ "loss": 0.3684,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 3.16,
258
+ "learning_rate": 0.00036842105263157896,
259
+ "loss": 0.2573,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 3.23,
264
+ "learning_rate": 0.00035338345864661654,
265
+ "loss": 0.2689,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 3.31,
270
+ "learning_rate": 0.0003383458646616541,
271
+ "loss": 0.3602,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 3.38,
276
+ "learning_rate": 0.00032330827067669174,
277
+ "loss": 0.3268,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 3.46,
282
+ "learning_rate": 0.0003082706766917293,
283
+ "loss": 0.3209,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 3.53,
288
+ "learning_rate": 0.0002932330827067669,
289
+ "loss": 0.3209,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 3.61,
294
+ "learning_rate": 0.0002781954887218045,
295
+ "loss": 0.3551,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 3.68,
300
+ "learning_rate": 0.0002631578947368421,
301
+ "loss": 0.3508,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 3.76,
306
+ "learning_rate": 0.0002481203007518797,
307
+ "loss": 0.3245,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 3.83,
312
+ "learning_rate": 0.00023308270676691728,
313
+ "loss": 0.3305,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 3.91,
318
+ "learning_rate": 0.00021804511278195488,
319
+ "loss": 0.2589,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 3.98,
324
+ "learning_rate": 0.00020300751879699248,
325
+ "loss": 0.28,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 4.06,
330
+ "learning_rate": 0.00018796992481203006,
331
+ "loss": 0.2616,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 4.14,
336
+ "learning_rate": 0.00017293233082706766,
337
+ "loss": 0.2456,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 4.21,
342
+ "learning_rate": 0.00015789473684210527,
343
+ "loss": 0.2407,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 4.29,
348
+ "learning_rate": 0.00014285714285714284,
349
+ "loss": 0.3143,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 4.36,
354
+ "learning_rate": 0.00012781954887218044,
355
+ "loss": 0.204,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 4.44,
360
+ "learning_rate": 0.00011278195488721805,
361
+ "loss": 0.2682,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 4.51,
366
+ "learning_rate": 9.774436090225564e-05,
367
+ "loss": 0.2864,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 4.59,
372
+ "learning_rate": 8.270676691729323e-05,
373
+ "loss": 0.208,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 4.66,
378
+ "learning_rate": 6.766917293233083e-05,
379
+ "loss": 0.2753,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 4.74,
384
+ "learning_rate": 5.263157894736842e-05,
385
+ "loss": 0.2745,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 4.81,
390
+ "learning_rate": 3.759398496240601e-05,
391
+ "loss": 0.2303,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 4.89,
396
+ "learning_rate": 2.255639097744361e-05,
397
+ "loss": 0.279,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 4.96,
402
+ "learning_rate": 7.518796992481203e-06,
403
+ "loss": 0.2759,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 5.0,
408
+ "step": 665,
409
+ "total_flos": 24952435630080.0,
410
+ "train_loss": 0.47780078264107384,
411
+ "train_runtime": 10.6583,
412
+ "train_samples_per_second": 1983.424,
413
+ "train_steps_per_second": 62.392
414
+ }
415
+ ],
416
+ "max_steps": 665,
417
+ "num_train_epochs": 5,
418
+ "total_flos": 24952435630080.0,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }