KarelDO commited on
Commit
94459db
1 Parent(s): 6c32068

./output/gpt2.CEBaB_confounding.food_service_positive.absa.5-class.seed_43

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 +427 -0
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_Macro-F1": 0.7651102213573747,
4
+ "eval_Weighted-Macro-F1": 0.7691539102859193,
5
+ "eval_accuracy": 0.7688698490412077,
6
+ "eval_loss": 0.8080414533615112,
7
+ "eval_runtime": 19.8924,
8
+ "eval_samples": 4902,
9
+ "eval_samples_per_second": 246.426,
10
+ "eval_steps_per_second": 7.742,
11
+ "train_loss": 0.49670425315401445,
12
+ "train_runtime": 261.2142,
13
+ "train_samples": 4258,
14
+ "train_samples_per_second": 81.504,
15
+ "train_steps_per_second": 2.565
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_Macro-F1": 0.7651102213573747,
4
+ "eval_Weighted-Macro-F1": 0.7691539102859193,
5
+ "eval_accuracy": 0.7688698490412077,
6
+ "eval_loss": 0.8080414533615112,
7
+ "eval_runtime": 19.8924,
8
+ "eval_samples": 4902,
9
+ "eval_samples_per_second": 246.426,
10
+ "eval_steps_per_second": 7.742
11
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "train_loss": 0.49670425315401445,
4
+ "train_runtime": 261.2142,
5
+ "train_samples": 4258,
6
+ "train_samples_per_second": 81.504,
7
+ "train_steps_per_second": 2.565
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,427 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.0,
5
+ "global_step": 670,
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": 1.9701492537313435e-05,
13
+ "loss": 1.1334,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.15,
18
+ "learning_rate": 1.9402985074626868e-05,
19
+ "loss": 1.1003,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.22,
24
+ "learning_rate": 1.9104477611940298e-05,
25
+ "loss": 1.0769,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.3,
30
+ "learning_rate": 1.8805970149253735e-05,
31
+ "loss": 1.0546,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.37,
36
+ "learning_rate": 1.8507462686567165e-05,
37
+ "loss": 1.0465,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.45,
42
+ "learning_rate": 1.8208955223880598e-05,
43
+ "loss": 0.9684,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.52,
48
+ "learning_rate": 1.791044776119403e-05,
49
+ "loss": 0.9276,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.6,
54
+ "learning_rate": 1.7611940298507464e-05,
55
+ "loss": 0.8279,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.67,
60
+ "learning_rate": 1.7313432835820894e-05,
61
+ "loss": 0.816,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.75,
66
+ "learning_rate": 1.701492537313433e-05,
67
+ "loss": 0.7778,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.82,
72
+ "learning_rate": 1.671641791044776e-05,
73
+ "loss": 0.7261,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.9,
78
+ "learning_rate": 1.6417910447761197e-05,
79
+ "loss": 0.7208,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.97,
84
+ "learning_rate": 1.6119402985074627e-05,
85
+ "loss": 0.6404,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 1.04,
90
+ "learning_rate": 1.582089552238806e-05,
91
+ "loss": 0.6556,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 1.12,
96
+ "learning_rate": 1.5522388059701494e-05,
97
+ "loss": 0.6484,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 1.19,
102
+ "learning_rate": 1.5223880597014925e-05,
103
+ "loss": 0.6387,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 1.27,
108
+ "learning_rate": 1.492537313432836e-05,
109
+ "loss": 0.545,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 1.34,
114
+ "learning_rate": 1.4626865671641792e-05,
115
+ "loss": 0.5693,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 1.42,
120
+ "learning_rate": 1.4328358208955224e-05,
121
+ "loss": 0.4667,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 1.49,
126
+ "learning_rate": 1.4029850746268658e-05,
127
+ "loss": 0.5243,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 1.57,
132
+ "learning_rate": 1.373134328358209e-05,
133
+ "loss": 0.4737,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 1.64,
138
+ "learning_rate": 1.3432835820895525e-05,
139
+ "loss": 0.4586,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 1.72,
144
+ "learning_rate": 1.3134328358208957e-05,
145
+ "loss": 0.4561,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 1.79,
150
+ "learning_rate": 1.2835820895522388e-05,
151
+ "loss": 0.5476,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 1.87,
156
+ "learning_rate": 1.2537313432835823e-05,
157
+ "loss": 0.4314,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 1.94,
162
+ "learning_rate": 1.2238805970149255e-05,
163
+ "loss": 0.4875,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 2.01,
168
+ "learning_rate": 1.1940298507462686e-05,
169
+ "loss": 0.5459,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 2.09,
174
+ "learning_rate": 1.1641791044776121e-05,
175
+ "loss": 0.4429,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 2.16,
180
+ "learning_rate": 1.1343283582089553e-05,
181
+ "loss": 0.3935,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 2.24,
186
+ "learning_rate": 1.1044776119402986e-05,
187
+ "loss": 0.4531,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 2.31,
192
+ "learning_rate": 1.074626865671642e-05,
193
+ "loss": 0.3705,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 2.39,
198
+ "learning_rate": 1.0447761194029851e-05,
199
+ "loss": 0.3925,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 2.46,
204
+ "learning_rate": 1.0149253731343284e-05,
205
+ "loss": 0.4739,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 2.54,
210
+ "learning_rate": 9.850746268656717e-06,
211
+ "loss": 0.3975,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 2.61,
216
+ "learning_rate": 9.552238805970149e-06,
217
+ "loss": 0.4335,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 2.69,
222
+ "learning_rate": 9.253731343283582e-06,
223
+ "loss": 0.443,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 2.76,
228
+ "learning_rate": 8.955223880597016e-06,
229
+ "loss": 0.3843,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 2.84,
234
+ "learning_rate": 8.656716417910447e-06,
235
+ "loss": 0.333,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 2.91,
240
+ "learning_rate": 8.35820895522388e-06,
241
+ "loss": 0.3555,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 2.99,
246
+ "learning_rate": 8.059701492537314e-06,
247
+ "loss": 0.39,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 3.06,
252
+ "learning_rate": 7.761194029850747e-06,
253
+ "loss": 0.3848,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 3.13,
258
+ "learning_rate": 7.46268656716418e-06,
259
+ "loss": 0.3658,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 3.21,
264
+ "learning_rate": 7.164179104477612e-06,
265
+ "loss": 0.3329,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 3.28,
270
+ "learning_rate": 6.865671641791045e-06,
271
+ "loss": 0.4015,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 3.36,
276
+ "learning_rate": 6.567164179104478e-06,
277
+ "loss": 0.3598,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 3.43,
282
+ "learning_rate": 6.2686567164179116e-06,
283
+ "loss": 0.3306,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 3.51,
288
+ "learning_rate": 5.970149253731343e-06,
289
+ "loss": 0.3427,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 3.58,
294
+ "learning_rate": 5.671641791044776e-06,
295
+ "loss": 0.2763,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 3.66,
300
+ "learning_rate": 5.37313432835821e-06,
301
+ "loss": 0.3242,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 3.73,
306
+ "learning_rate": 5.074626865671642e-06,
307
+ "loss": 0.3514,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 3.81,
312
+ "learning_rate": 4.7761194029850745e-06,
313
+ "loss": 0.3407,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 3.88,
318
+ "learning_rate": 4.477611940298508e-06,
319
+ "loss": 0.3108,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 3.96,
324
+ "learning_rate": 4.17910447761194e-06,
325
+ "loss": 0.3061,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 4.03,
330
+ "learning_rate": 3.8805970149253735e-06,
331
+ "loss": 0.3153,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 4.1,
336
+ "learning_rate": 3.582089552238806e-06,
337
+ "loss": 0.2951,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 4.18,
342
+ "learning_rate": 3.283582089552239e-06,
343
+ "loss": 0.3297,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 4.25,
348
+ "learning_rate": 2.9850746268656716e-06,
349
+ "loss": 0.339,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 4.33,
354
+ "learning_rate": 2.686567164179105e-06,
355
+ "loss": 0.3228,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 4.4,
360
+ "learning_rate": 2.3880597014925373e-06,
361
+ "loss": 0.2971,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 4.48,
366
+ "learning_rate": 2.08955223880597e-06,
367
+ "loss": 0.3168,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 4.55,
372
+ "learning_rate": 1.791044776119403e-06,
373
+ "loss": 0.2814,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 4.63,
378
+ "learning_rate": 1.4925373134328358e-06,
379
+ "loss": 0.276,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 4.7,
384
+ "learning_rate": 1.1940298507462686e-06,
385
+ "loss": 0.2376,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 4.78,
390
+ "learning_rate": 8.955223880597015e-07,
391
+ "loss": 0.2764,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 4.85,
396
+ "learning_rate": 5.970149253731343e-07,
397
+ "loss": 0.2799,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 4.93,
402
+ "learning_rate": 2.9850746268656716e-07,
403
+ "loss": 0.3265,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 5.0,
408
+ "learning_rate": 0.0,
409
+ "loss": 0.4295,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 5.0,
414
+ "step": 670,
415
+ "total_flos": 1400421165857280.0,
416
+ "train_loss": 0.49670425315401445,
417
+ "train_runtime": 261.2142,
418
+ "train_samples_per_second": 81.504,
419
+ "train_steps_per_second": 2.565
420
+ }
421
+ ],
422
+ "max_steps": 670,
423
+ "num_train_epochs": 5,
424
+ "total_flos": 1400421165857280.0,
425
+ "trial_name": null,
426
+ "trial_params": null
427
+ }