File size: 11,914 Bytes
53efd81
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
{
  "best_metric": 0.8943646614708781,
  "best_model_checkpoint": "cls_comment-phobert-base-v2-v2.3/checkpoint-1600",
  "epoch": 21.875,
  "eval_steps": 100,
  "global_step": 2100,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.04,
      "grad_norm": 2.3460028171539307,
      "learning_rate": 2.5e-06,
      "loss": 1.1884,
      "step": 100
    },
    {
      "epoch": 1.04,
      "eval_accuracy": 0.7277179236043095,
      "eval_f1_score": 0.43708201591573076,
      "eval_loss": 1.0905314683914185,
      "eval_precision": 0.5016943776884798,
      "eval_recall": 0.42288884208445504,
      "eval_runtime": 4.9336,
      "eval_samples_per_second": 620.848,
      "eval_steps_per_second": 9.729,
      "step": 100
    },
    {
      "epoch": 2.08,
      "grad_norm": 9.137602806091309,
      "learning_rate": 5e-06,
      "loss": 1.0502,
      "step": 200
    },
    {
      "epoch": 2.08,
      "eval_accuracy": 0.7956252040483186,
      "eval_f1_score": 0.5245336258309143,
      "eval_loss": 0.9278329014778137,
      "eval_precision": 0.5244123326675032,
      "eval_recall": 0.5273852871687749,
      "eval_runtime": 4.9622,
      "eval_samples_per_second": 617.266,
      "eval_steps_per_second": 9.673,
      "step": 200
    },
    {
      "epoch": 3.12,
      "grad_norm": 8.277727127075195,
      "learning_rate": 7.500000000000001e-06,
      "loss": 0.9031,
      "step": 300
    },
    {
      "epoch": 3.12,
      "eval_accuracy": 0.8445968005223637,
      "eval_f1_score": 0.5653211085059351,
      "eval_loss": 0.7793412208557129,
      "eval_precision": 0.7067057672713553,
      "eval_recall": 0.589697230912186,
      "eval_runtime": 5.0159,
      "eval_samples_per_second": 610.664,
      "eval_steps_per_second": 9.57,
      "step": 300
    },
    {
      "epoch": 4.17,
      "grad_norm": 3.594104290008545,
      "learning_rate": 1e-05,
      "loss": 0.7772,
      "step": 400
    },
    {
      "epoch": 4.17,
      "eval_accuracy": 0.8697355533790402,
      "eval_f1_score": 0.6917446533625714,
      "eval_loss": 0.7089904546737671,
      "eval_precision": 0.7268852070004593,
      "eval_recall": 0.6804440791993415,
      "eval_runtime": 4.9399,
      "eval_samples_per_second": 620.058,
      "eval_steps_per_second": 9.717,
      "step": 400
    },
    {
      "epoch": 5.21,
      "grad_norm": 4.503917694091797,
      "learning_rate": 9.722222222222223e-06,
      "loss": 0.6741,
      "step": 500
    },
    {
      "epoch": 5.21,
      "eval_accuracy": 0.8958537381651975,
      "eval_f1_score": 0.8078466525990172,
      "eval_loss": 0.648346483707428,
      "eval_precision": 0.8797678600731677,
      "eval_recall": 0.7817903123125977,
      "eval_runtime": 4.9504,
      "eval_samples_per_second": 618.741,
      "eval_steps_per_second": 9.696,
      "step": 500
    },
    {
      "epoch": 6.25,
      "grad_norm": 4.407541275024414,
      "learning_rate": 9.444444444444445e-06,
      "loss": 0.6156,
      "step": 600
    },
    {
      "epoch": 6.25,
      "eval_accuracy": 0.9079333986287953,
      "eval_f1_score": 0.8601153974079928,
      "eval_loss": 0.6268225908279419,
      "eval_precision": 0.8933059224979765,
      "eval_recall": 0.8344643413921417,
      "eval_runtime": 4.9864,
      "eval_samples_per_second": 614.266,
      "eval_steps_per_second": 9.626,
      "step": 600
    },
    {
      "epoch": 7.29,
      "grad_norm": 5.013394355773926,
      "learning_rate": 9.166666666666666e-06,
      "loss": 0.5745,
      "step": 700
    },
    {
      "epoch": 7.29,
      "eval_accuracy": 0.9160953313744695,
      "eval_f1_score": 0.8738968846084525,
      "eval_loss": 0.6176044940948486,
      "eval_precision": 0.8880590844686177,
      "eval_recall": 0.8609982161968145,
      "eval_runtime": 5.0009,
      "eval_samples_per_second": 612.484,
      "eval_steps_per_second": 9.598,
      "step": 700
    },
    {
      "epoch": 8.33,
      "grad_norm": 4.954068183898926,
      "learning_rate": 8.888888888888888e-06,
      "loss": 0.5466,
      "step": 800
    },
    {
      "epoch": 8.33,
      "eval_accuracy": 0.9180541952334312,
      "eval_f1_score": 0.8730278944900508,
      "eval_loss": 0.613418698310852,
      "eval_precision": 0.8951285463624247,
      "eval_recall": 0.8555146035099561,
      "eval_runtime": 4.9947,
      "eval_samples_per_second": 613.247,
      "eval_steps_per_second": 9.61,
      "step": 800
    },
    {
      "epoch": 9.38,
      "grad_norm": 6.174578666687012,
      "learning_rate": 8.611111111111112e-06,
      "loss": 0.5254,
      "step": 900
    },
    {
      "epoch": 9.38,
      "eval_accuracy": 0.9183806725432583,
      "eval_f1_score": 0.8794225212758101,
      "eval_loss": 0.6195659637451172,
      "eval_precision": 0.898010742334885,
      "eval_recall": 0.8634351648847699,
      "eval_runtime": 4.9765,
      "eval_samples_per_second": 615.487,
      "eval_steps_per_second": 9.645,
      "step": 900
    },
    {
      "epoch": 10.42,
      "grad_norm": 5.367175102233887,
      "learning_rate": 8.333333333333334e-06,
      "loss": 0.5059,
      "step": 1000
    },
    {
      "epoch": 10.42,
      "eval_accuracy": 0.9219719229513549,
      "eval_f1_score": 0.8799283123746076,
      "eval_loss": 0.6174536347389221,
      "eval_precision": 0.8925411600987329,
      "eval_recall": 0.8702271946202808,
      "eval_runtime": 4.9764,
      "eval_samples_per_second": 615.501,
      "eval_steps_per_second": 9.645,
      "step": 1000
    },
    {
      "epoch": 11.46,
      "grad_norm": 6.586447238922119,
      "learning_rate": 8.055555555555557e-06,
      "loss": 0.4971,
      "step": 1100
    },
    {
      "epoch": 11.46,
      "eval_accuracy": 0.9226248775710089,
      "eval_f1_score": 0.8770727386787929,
      "eval_loss": 0.6110312342643738,
      "eval_precision": 0.89290929483548,
      "eval_recall": 0.8638757728594787,
      "eval_runtime": 4.9931,
      "eval_samples_per_second": 613.443,
      "eval_steps_per_second": 9.613,
      "step": 1100
    },
    {
      "epoch": 12.5,
      "grad_norm": 3.8108513355255127,
      "learning_rate": 7.77777777777778e-06,
      "loss": 0.4872,
      "step": 1200
    },
    {
      "epoch": 12.5,
      "eval_accuracy": 0.9229513548808358,
      "eval_f1_score": 0.8833538508725888,
      "eval_loss": 0.6191003918647766,
      "eval_precision": 0.8914104564156814,
      "eval_recall": 0.8774149435732262,
      "eval_runtime": 4.9594,
      "eval_samples_per_second": 617.612,
      "eval_steps_per_second": 9.679,
      "step": 1200
    },
    {
      "epoch": 13.54,
      "grad_norm": 2.2206079959869385,
      "learning_rate": 7.500000000000001e-06,
      "loss": 0.4756,
      "step": 1300
    },
    {
      "epoch": 13.54,
      "eval_accuracy": 0.9242572641201436,
      "eval_f1_score": 0.892919420274636,
      "eval_loss": 0.6239792704582214,
      "eval_precision": 0.8938258370033757,
      "eval_recall": 0.8931296696096861,
      "eval_runtime": 4.9692,
      "eval_samples_per_second": 616.403,
      "eval_steps_per_second": 9.66,
      "step": 1300
    },
    {
      "epoch": 14.58,
      "grad_norm": 3.2590479850769043,
      "learning_rate": 7.222222222222223e-06,
      "loss": 0.4737,
      "step": 1400
    },
    {
      "epoch": 14.58,
      "eval_accuracy": 0.92033953640222,
      "eval_f1_score": 0.8793750306978456,
      "eval_loss": 0.6246046423912048,
      "eval_precision": 0.9038460171417751,
      "eval_recall": 0.8582419368732399,
      "eval_runtime": 5.0236,
      "eval_samples_per_second": 609.724,
      "eval_steps_per_second": 9.555,
      "step": 1400
    },
    {
      "epoch": 15.62,
      "grad_norm": 4.4676127433776855,
      "learning_rate": 6.944444444444445e-06,
      "loss": 0.4626,
      "step": 1500
    },
    {
      "epoch": 15.62,
      "eval_accuracy": 0.9249102187397976,
      "eval_f1_score": 0.8889732013227639,
      "eval_loss": 0.6267126798629761,
      "eval_precision": 0.8955131575427445,
      "eval_recall": 0.8842202196754521,
      "eval_runtime": 5.0075,
      "eval_samples_per_second": 611.678,
      "eval_steps_per_second": 9.586,
      "step": 1500
    },
    {
      "epoch": 16.67,
      "grad_norm": 1.5825713872909546,
      "learning_rate": 6.666666666666667e-06,
      "loss": 0.4641,
      "step": 1600
    },
    {
      "epoch": 16.67,
      "eval_accuracy": 0.9271955599085864,
      "eval_f1_score": 0.8943646614708781,
      "eval_loss": 0.6228047013282776,
      "eval_precision": 0.9063376648453086,
      "eval_recall": 0.8842502417202245,
      "eval_runtime": 4.9845,
      "eval_samples_per_second": 614.503,
      "eval_steps_per_second": 9.63,
      "step": 1600
    },
    {
      "epoch": 17.71,
      "grad_norm": 3.3820607662200928,
      "learning_rate": 6.3888888888888885e-06,
      "loss": 0.4562,
      "step": 1700
    },
    {
      "epoch": 17.71,
      "eval_accuracy": 0.9278485145282402,
      "eval_f1_score": 0.892329553955837,
      "eval_loss": 0.6255541443824768,
      "eval_precision": 0.9064974712840742,
      "eval_recall": 0.8800313461131938,
      "eval_runtime": 5.0301,
      "eval_samples_per_second": 608.937,
      "eval_steps_per_second": 9.543,
      "step": 1700
    },
    {
      "epoch": 18.75,
      "grad_norm": 0.6632604598999023,
      "learning_rate": 6.111111111111112e-06,
      "loss": 0.4522,
      "step": 1800
    },
    {
      "epoch": 18.75,
      "eval_accuracy": 0.9285014691478942,
      "eval_f1_score": 0.8912735294131965,
      "eval_loss": 0.6203188300132751,
      "eval_precision": 0.8992701751319325,
      "eval_recall": 0.8844935194666589,
      "eval_runtime": 5.0719,
      "eval_samples_per_second": 603.913,
      "eval_steps_per_second": 9.464,
      "step": 1800
    },
    {
      "epoch": 19.79,
      "grad_norm": 1.0484055280685425,
      "learning_rate": 5.833333333333334e-06,
      "loss": 0.4476,
      "step": 1900
    },
    {
      "epoch": 19.79,
      "eval_accuracy": 0.9262161279791055,
      "eval_f1_score": 0.8848887104133892,
      "eval_loss": 0.6258328557014465,
      "eval_precision": 0.9033804413868713,
      "eval_recall": 0.8691664648450299,
      "eval_runtime": 5.0588,
      "eval_samples_per_second": 605.485,
      "eval_steps_per_second": 9.488,
      "step": 1900
    },
    {
      "epoch": 20.83,
      "grad_norm": 4.217446804046631,
      "learning_rate": 5.555555555555557e-06,
      "loss": 0.4474,
      "step": 2000
    },
    {
      "epoch": 20.83,
      "eval_accuracy": 0.9271955599085864,
      "eval_f1_score": 0.8931632926835013,
      "eval_loss": 0.6333132386207581,
      "eval_precision": 0.9133975869931371,
      "eval_recall": 0.8751018475655369,
      "eval_runtime": 4.9412,
      "eval_samples_per_second": 619.889,
      "eval_steps_per_second": 9.714,
      "step": 2000
    },
    {
      "epoch": 21.88,
      "grad_norm": 2.5882654190063477,
      "learning_rate": 5.2777777777777785e-06,
      "loss": 0.4421,
      "step": 2100
    },
    {
      "epoch": 21.88,
      "eval_accuracy": 0.9291544237675482,
      "eval_f1_score": 0.8929419711474625,
      "eval_loss": 0.6339655518531799,
      "eval_precision": 0.8975107075254134,
      "eval_recall": 0.8896075654961032,
      "eval_runtime": 4.9672,
      "eval_samples_per_second": 616.645,
      "eval_steps_per_second": 9.663,
      "step": 2100
    },
    {
      "epoch": 21.88,
      "step": 2100,
      "total_flos": 4711306254898320.0,
      "train_loss": 0.5936482783726283,
      "train_runtime": 1811.9756,
      "train_samples_per_second": 282.565,
      "train_steps_per_second": 2.208
    }
  ],
  "logging_steps": 100,
  "max_steps": 4000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 42,
  "save_steps": 100,
  "total_flos": 4711306254898320.0,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}