File size: 12,499 Bytes
3eda1c6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
{
  "best_metric": 0.4396501457725948,
  "best_model_checkpoint": "/content/our_data/checkpoint-11500",
  "epoch": 10.0,
  "eval_steps": 500,
  "global_step": 12410,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.4,
      "learning_rate": 1.91941982272361e-05,
      "loss": 1.7927,
      "step": 500
    },
    {
      "epoch": 0.4,
      "eval_accuracy": 0.6139180171591992,
      "eval_f1": 0.08594319009468317,
      "eval_loss": 1.5607472658157349,
      "eval_precision": 0.09562398703403566,
      "eval_recall": 0.07804232804232804,
      "eval_runtime": 1.9857,
      "eval_samples_per_second": 153.092,
      "eval_steps_per_second": 76.546,
      "step": 500
    },
    {
      "epoch": 0.81,
      "learning_rate": 1.83883964544722e-05,
      "loss": 1.3551,
      "step": 1000
    },
    {
      "epoch": 0.81,
      "eval_accuracy": 0.6495471877979028,
      "eval_f1": 0.22113022113022113,
      "eval_loss": 1.3530131578445435,
      "eval_precision": 0.20642201834862386,
      "eval_recall": 0.23809523809523808,
      "eval_runtime": 1.4676,
      "eval_samples_per_second": 207.142,
      "eval_steps_per_second": 103.571,
      "step": 1000
    },
    {
      "epoch": 1.21,
      "learning_rate": 1.75825946817083e-05,
      "loss": 1.0432,
      "step": 1500
    },
    {
      "epoch": 1.21,
      "eval_accuracy": 0.6739752144899904,
      "eval_f1": 0.26135726303982054,
      "eval_loss": 1.310741662979126,
      "eval_precision": 0.22687439143135346,
      "eval_recall": 0.3082010582010582,
      "eval_runtime": 1.4924,
      "eval_samples_per_second": 203.693,
      "eval_steps_per_second": 101.847,
      "step": 1500
    },
    {
      "epoch": 1.61,
      "learning_rate": 1.67767929089444e-05,
      "loss": 0.8468,
      "step": 2000
    },
    {
      "epoch": 1.61,
      "eval_accuracy": 0.6767159199237369,
      "eval_f1": 0.28364849833147937,
      "eval_loss": 1.249666690826416,
      "eval_precision": 0.24472168905950095,
      "eval_recall": 0.3373015873015873,
      "eval_runtime": 1.9366,
      "eval_samples_per_second": 156.977,
      "eval_steps_per_second": 78.489,
      "step": 2000
    },
    {
      "epoch": 2.01,
      "learning_rate": 1.59709911361805e-05,
      "loss": 0.7775,
      "step": 2500
    },
    {
      "epoch": 2.01,
      "eval_accuracy": 0.6938751191611058,
      "eval_f1": 0.3260115606936416,
      "eval_loss": 1.2709521055221558,
      "eval_precision": 0.28952772073921973,
      "eval_recall": 0.373015873015873,
      "eval_runtime": 2.1473,
      "eval_samples_per_second": 141.572,
      "eval_steps_per_second": 70.786,
      "step": 2500
    },
    {
      "epoch": 2.42,
      "learning_rate": 1.5165189363416601e-05,
      "loss": 0.5374,
      "step": 3000
    },
    {
      "epoch": 2.42,
      "eval_accuracy": 0.7043612964728313,
      "eval_f1": 0.34498308906426156,
      "eval_loss": 1.3020099401474,
      "eval_precision": 0.3005893909626719,
      "eval_recall": 0.40476190476190477,
      "eval_runtime": 1.4555,
      "eval_samples_per_second": 208.867,
      "eval_steps_per_second": 104.433,
      "step": 3000
    },
    {
      "epoch": 2.82,
      "learning_rate": 1.4359387590652701e-05,
      "loss": 0.5071,
      "step": 3500
    },
    {
      "epoch": 2.82,
      "eval_accuracy": 0.7080552907530981,
      "eval_f1": 0.34189944134078215,
      "eval_loss": 1.2613815069198608,
      "eval_precision": 0.29593810444874274,
      "eval_recall": 0.40476190476190477,
      "eval_runtime": 1.655,
      "eval_samples_per_second": 183.688,
      "eval_steps_per_second": 91.844,
      "step": 3500
    },
    {
      "epoch": 3.22,
      "learning_rate": 1.35535858178888e-05,
      "loss": 0.4237,
      "step": 4000
    },
    {
      "epoch": 3.22,
      "eval_accuracy": 0.7166348903717826,
      "eval_f1": 0.38166189111747856,
      "eval_loss": 1.3250571489334106,
      "eval_precision": 0.3367037411526795,
      "eval_recall": 0.44047619047619047,
      "eval_runtime": 1.9058,
      "eval_samples_per_second": 159.516,
      "eval_steps_per_second": 79.758,
      "step": 4000
    },
    {
      "epoch": 3.63,
      "learning_rate": 1.27477840451249e-05,
      "loss": 0.3597,
      "step": 4500
    },
    {
      "epoch": 3.63,
      "eval_accuracy": 0.7124642516682554,
      "eval_f1": 0.38974358974358975,
      "eval_loss": 1.3852567672729492,
      "eval_precision": 0.34234234234234234,
      "eval_recall": 0.4523809523809524,
      "eval_runtime": 1.478,
      "eval_samples_per_second": 205.686,
      "eval_steps_per_second": 102.843,
      "step": 4500
    },
    {
      "epoch": 4.03,
      "learning_rate": 1.1941982272361e-05,
      "loss": 0.3632,
      "step": 5000
    },
    {
      "epoch": 4.03,
      "eval_accuracy": 0.7127025738798856,
      "eval_f1": 0.39836924868957485,
      "eval_loss": 1.415600061416626,
      "eval_precision": 0.3558792924037461,
      "eval_recall": 0.4523809523809524,
      "eval_runtime": 1.5214,
      "eval_samples_per_second": 199.817,
      "eval_steps_per_second": 99.908,
      "step": 5000
    },
    {
      "epoch": 4.43,
      "learning_rate": 1.11361804995971e-05,
      "loss": 0.2589,
      "step": 5500
    },
    {
      "epoch": 4.43,
      "eval_accuracy": 0.717349857006673,
      "eval_f1": 0.40180586907449206,
      "eval_loss": 1.4472498893737793,
      "eval_precision": 0.35039370078740156,
      "eval_recall": 0.4708994708994709,
      "eval_runtime": 1.4818,
      "eval_samples_per_second": 205.152,
      "eval_steps_per_second": 102.576,
      "step": 5500
    },
    {
      "epoch": 4.83,
      "learning_rate": 1.0330378726833199e-05,
      "loss": 0.323,
      "step": 6000
    },
    {
      "epoch": 4.83,
      "eval_accuracy": 0.7222354623450906,
      "eval_f1": 0.39455782312925164,
      "eval_loss": 1.399746298789978,
      "eval_precision": 0.34523809523809523,
      "eval_recall": 0.4603174603174603,
      "eval_runtime": 1.4893,
      "eval_samples_per_second": 204.116,
      "eval_steps_per_second": 102.058,
      "step": 6000
    },
    {
      "epoch": 5.24,
      "learning_rate": 9.5245769540693e-06,
      "loss": 0.2167,
      "step": 6500
    },
    {
      "epoch": 5.24,
      "eval_accuracy": 0.7233079122974261,
      "eval_f1": 0.39499146272054636,
      "eval_loss": 1.519398808479309,
      "eval_precision": 0.34665334665334663,
      "eval_recall": 0.458994708994709,
      "eval_runtime": 1.803,
      "eval_samples_per_second": 168.606,
      "eval_steps_per_second": 84.303,
      "step": 6500
    },
    {
      "epoch": 5.64,
      "learning_rate": 8.7187751813054e-06,
      "loss": 0.2363,
      "step": 7000
    },
    {
      "epoch": 5.64,
      "eval_accuracy": 0.7222354623450906,
      "eval_f1": 0.4024802705749719,
      "eval_loss": 1.5585495233535767,
      "eval_precision": 0.3506876227897839,
      "eval_recall": 0.4722222222222222,
      "eval_runtime": 2.0739,
      "eval_samples_per_second": 146.582,
      "eval_steps_per_second": 73.291,
      "step": 7000
    },
    {
      "epoch": 6.04,
      "learning_rate": 7.9129734085415e-06,
      "loss": 0.2721,
      "step": 7500
    },
    {
      "epoch": 6.04,
      "eval_accuracy": 0.7210438512869399,
      "eval_f1": 0.4208715596330276,
      "eval_loss": 1.5420488119125366,
      "eval_precision": 0.3714574898785425,
      "eval_recall": 0.48544973544973546,
      "eval_runtime": 1.4879,
      "eval_samples_per_second": 204.311,
      "eval_steps_per_second": 102.155,
      "step": 7500
    },
    {
      "epoch": 6.45,
      "learning_rate": 7.107171635777599e-06,
      "loss": 0.2073,
      "step": 8000
    },
    {
      "epoch": 6.45,
      "eval_accuracy": 0.7147283126787417,
      "eval_f1": 0.40914158305462656,
      "eval_loss": 1.5877846479415894,
      "eval_precision": 0.3535645472061657,
      "eval_recall": 0.48544973544973546,
      "eval_runtime": 1.4406,
      "eval_samples_per_second": 211.016,
      "eval_steps_per_second": 105.508,
      "step": 8000
    },
    {
      "epoch": 6.85,
      "learning_rate": 6.301369863013699e-06,
      "loss": 0.2021,
      "step": 8500
    },
    {
      "epoch": 6.85,
      "eval_accuracy": 0.7197330791229742,
      "eval_f1": 0.42135476463834676,
      "eval_loss": 1.6636826992034912,
      "eval_precision": 0.372210953346856,
      "eval_recall": 0.48544973544973546,
      "eval_runtime": 1.7337,
      "eval_samples_per_second": 175.352,
      "eval_steps_per_second": 87.676,
      "step": 8500
    },
    {
      "epoch": 7.25,
      "learning_rate": 5.495568090249799e-06,
      "loss": 0.1648,
      "step": 9000
    },
    {
      "epoch": 7.25,
      "eval_accuracy": 0.7254528122020972,
      "eval_f1": 0.42339181286549704,
      "eval_loss": 1.6723591089248657,
      "eval_precision": 0.37945492662473795,
      "eval_recall": 0.47883597883597884,
      "eval_runtime": 2.0842,
      "eval_samples_per_second": 145.858,
      "eval_steps_per_second": 72.929,
      "step": 9000
    },
    {
      "epoch": 7.66,
      "learning_rate": 4.689766317485899e-06,
      "loss": 0.1927,
      "step": 9500
    },
    {
      "epoch": 7.66,
      "eval_accuracy": 0.7244995233555768,
      "eval_f1": 0.4298850574712644,
      "eval_loss": 1.689092993736267,
      "eval_precision": 0.3800813008130081,
      "eval_recall": 0.4947089947089947,
      "eval_runtime": 1.551,
      "eval_samples_per_second": 196.006,
      "eval_steps_per_second": 98.003,
      "step": 9500
    },
    {
      "epoch": 8.06,
      "learning_rate": 3.883964544721999e-06,
      "loss": 0.1958,
      "step": 10000
    },
    {
      "epoch": 8.06,
      "eval_accuracy": 0.7280743565300286,
      "eval_f1": 0.4395090590298071,
      "eval_loss": 1.67740797996521,
      "eval_precision": 0.393717277486911,
      "eval_recall": 0.4973544973544973,
      "eval_runtime": 1.5248,
      "eval_samples_per_second": 199.375,
      "eval_steps_per_second": 99.688,
      "step": 10000
    },
    {
      "epoch": 8.46,
      "learning_rate": 3.0781627719580986e-06,
      "loss": 0.1508,
      "step": 10500
    },
    {
      "epoch": 8.46,
      "eval_accuracy": 0.7259294566253575,
      "eval_f1": 0.4272409778812573,
      "eval_loss": 1.7378581762313843,
      "eval_precision": 0.3814968814968815,
      "eval_recall": 0.48544973544973546,
      "eval_runtime": 1.5008,
      "eval_samples_per_second": 202.555,
      "eval_steps_per_second": 101.278,
      "step": 10500
    },
    {
      "epoch": 8.86,
      "learning_rate": 2.2723609991941985e-06,
      "loss": 0.184,
      "step": 11000
    },
    {
      "epoch": 8.86,
      "eval_accuracy": 0.7277168732125834,
      "eval_f1": 0.43638457109959694,
      "eval_loss": 1.700131893157959,
      "eval_precision": 0.38634046890927626,
      "eval_recall": 0.5013227513227513,
      "eval_runtime": 1.5178,
      "eval_samples_per_second": 200.287,
      "eval_steps_per_second": 100.144,
      "step": 11000
    },
    {
      "epoch": 9.27,
      "learning_rate": 1.4665592264302982e-06,
      "loss": 0.1696,
      "step": 11500
    },
    {
      "epoch": 9.27,
      "eval_accuracy": 0.7295042897998093,
      "eval_f1": 0.4396501457725948,
      "eval_loss": 1.6932308673858643,
      "eval_precision": 0.3931178310740355,
      "eval_recall": 0.49867724867724866,
      "eval_runtime": 2.1423,
      "eval_samples_per_second": 141.904,
      "eval_steps_per_second": 70.952,
      "step": 11500
    },
    {
      "epoch": 9.67,
      "learning_rate": 6.607574536663981e-07,
      "loss": 0.1425,
      "step": 12000
    },
    {
      "epoch": 9.67,
      "eval_accuracy": 0.7275977121067684,
      "eval_f1": 0.433886662850601,
      "eval_loss": 1.7137079238891602,
      "eval_precision": 0.38244197780020184,
      "eval_recall": 0.5013227513227513,
      "eval_runtime": 2.2155,
      "eval_samples_per_second": 137.215,
      "eval_steps_per_second": 68.608,
      "step": 12000
    },
    {
      "epoch": 10.0,
      "step": 12410,
      "total_flos": 243842156652198.0,
      "train_loss": 0.4448028106443542,
      "train_runtime": 816.9339,
      "train_samples_per_second": 30.37,
      "train_steps_per_second": 15.191
    }
  ],
  "logging_steps": 500,
  "max_steps": 12410,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 243842156652198.0,
  "trial_name": null,
  "trial_params": null
}