File size: 10,934 Bytes
9d8d512
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 20.0,
  "eval_steps": 500,
  "global_step": 2440,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 5.065453052520752,
      "learning_rate": 4.75e-05,
      "loss": 0.5633,
      "step": 122
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7167919799498746,
      "eval_f1": 0.6483759017352311,
      "eval_loss": 0.5099548697471619,
      "eval_precision": 0.653631914482581,
      "eval_recall": 0.6446172031278414,
      "eval_runtime": 5.1271,
      "eval_samples_per_second": 77.822,
      "eval_steps_per_second": 9.752,
      "step": 122
    },
    {
      "epoch": 2.0,
      "grad_norm": 3.7954251766204834,
      "learning_rate": 4.5e-05,
      "loss": 0.5083,
      "step": 244
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7243107769423559,
      "eval_f1": 0.6886704119850188,
      "eval_loss": 0.4999238848686218,
      "eval_precision": 0.6825396825396826,
      "eval_recall": 0.704946353882524,
      "eval_runtime": 5.0551,
      "eval_samples_per_second": 78.931,
      "eval_steps_per_second": 9.891,
      "step": 244
    },
    {
      "epoch": 3.0,
      "grad_norm": 3.972048759460449,
      "learning_rate": 4.25e-05,
      "loss": 0.4904,
      "step": 366
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7619047619047619,
      "eval_f1": 0.7090966301102831,
      "eval_loss": 0.4595041573047638,
      "eval_precision": 0.7119991289198606,
      "eval_recall": 0.7065375522822331,
      "eval_runtime": 5.1087,
      "eval_samples_per_second": 78.103,
      "eval_steps_per_second": 9.787,
      "step": 366
    },
    {
      "epoch": 4.0,
      "grad_norm": 2.7911946773529053,
      "learning_rate": 4e-05,
      "loss": 0.4644,
      "step": 488
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7919799498746867,
      "eval_f1": 0.7357932107383621,
      "eval_loss": 0.4287411570549011,
      "eval_precision": 0.7520170859041291,
      "eval_recall": 0.7253136933987998,
      "eval_runtime": 5.0546,
      "eval_samples_per_second": 78.937,
      "eval_steps_per_second": 9.892,
      "step": 488
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.300946593284607,
      "learning_rate": 3.7500000000000003e-05,
      "loss": 0.4439,
      "step": 610
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7518796992481203,
      "eval_f1": 0.720337003079755,
      "eval_loss": 0.43993374705314636,
      "eval_precision": 0.7126763217400668,
      "eval_recall": 0.7394526277505,
      "eval_runtime": 5.045,
      "eval_samples_per_second": 79.089,
      "eval_steps_per_second": 9.911,
      "step": 610
    },
    {
      "epoch": 6.0,
      "grad_norm": 1.9654462337493896,
      "learning_rate": 3.5e-05,
      "loss": 0.4241,
      "step": 732
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8220551378446115,
      "eval_f1": 0.7837101170434504,
      "eval_loss": 0.402724027633667,
      "eval_precision": 0.7859649122807018,
      "eval_recall": 0.7815966539370796,
      "eval_runtime": 5.056,
      "eval_samples_per_second": 78.917,
      "eval_steps_per_second": 9.889,
      "step": 732
    },
    {
      "epoch": 7.0,
      "grad_norm": 4.654602527618408,
      "learning_rate": 3.2500000000000004e-05,
      "loss": 0.4092,
      "step": 854
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8070175438596491,
      "eval_f1": 0.7742565963981571,
      "eval_loss": 0.4018576741218567,
      "eval_precision": 0.7674435230197312,
      "eval_recall": 0.7834606292053101,
      "eval_runtime": 5.0686,
      "eval_samples_per_second": 78.72,
      "eval_steps_per_second": 9.865,
      "step": 854
    },
    {
      "epoch": 8.0,
      "grad_norm": 5.236440181732178,
      "learning_rate": 3e-05,
      "loss": 0.3891,
      "step": 976
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8270676691729323,
      "eval_f1": 0.7919126261290201,
      "eval_loss": 0.3805297911167145,
      "eval_precision": 0.7911966946136679,
      "eval_recall": 0.7926441171122023,
      "eval_runtime": 5.0705,
      "eval_samples_per_second": 78.691,
      "eval_steps_per_second": 9.861,
      "step": 976
    },
    {
      "epoch": 9.0,
      "grad_norm": 3.970191478729248,
      "learning_rate": 2.7500000000000004e-05,
      "loss": 0.3777,
      "step": 1098
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8270676691729323,
      "eval_f1": 0.7919126261290201,
      "eval_loss": 0.3789067566394806,
      "eval_precision": 0.7911966946136679,
      "eval_recall": 0.7926441171122023,
      "eval_runtime": 5.0553,
      "eval_samples_per_second": 78.927,
      "eval_steps_per_second": 9.891,
      "step": 1098
    },
    {
      "epoch": 10.0,
      "grad_norm": 5.090290069580078,
      "learning_rate": 2.5e-05,
      "loss": 0.369,
      "step": 1220
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.8395989974937343,
      "eval_f1": 0.8055318630437431,
      "eval_loss": 0.37584108114242554,
      "eval_precision": 0.8071187997550521,
      "eval_recall": 0.8040098199672667,
      "eval_runtime": 5.101,
      "eval_samples_per_second": 78.22,
      "eval_steps_per_second": 9.802,
      "step": 1220
    },
    {
      "epoch": 11.0,
      "grad_norm": 4.1066460609436035,
      "learning_rate": 2.25e-05,
      "loss": 0.3531,
      "step": 1342
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.8295739348370927,
      "eval_f1": 0.7983530530947143,
      "eval_loss": 0.38051342964172363,
      "eval_precision": 0.7932554744525547,
      "eval_recall": 0.8044189852700492,
      "eval_runtime": 5.11,
      "eval_samples_per_second": 78.082,
      "eval_steps_per_second": 9.785,
      "step": 1342
    },
    {
      "epoch": 12.0,
      "grad_norm": 10.612831115722656,
      "learning_rate": 2e-05,
      "loss": 0.3486,
      "step": 1464
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.8320802005012531,
      "eval_f1": 0.8026866442779643,
      "eval_loss": 0.38006365299224854,
      "eval_precision": 0.795995733394834,
      "eval_recall": 0.8111929441716675,
      "eval_runtime": 5.0674,
      "eval_samples_per_second": 78.738,
      "eval_steps_per_second": 9.867,
      "step": 1464
    },
    {
      "epoch": 13.0,
      "grad_norm": 2.0057244300842285,
      "learning_rate": 1.75e-05,
      "loss": 0.3472,
      "step": 1586
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.8421052631578947,
      "eval_f1": 0.8090546545634092,
      "eval_loss": 0.3675023913383484,
      "eval_precision": 0.8098422078713293,
      "eval_recall": 0.808283324240771,
      "eval_runtime": 5.0557,
      "eval_samples_per_second": 78.92,
      "eval_steps_per_second": 9.89,
      "step": 1586
    },
    {
      "epoch": 14.0,
      "grad_norm": 9.116528511047363,
      "learning_rate": 1.5e-05,
      "loss": 0.3379,
      "step": 1708
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.8370927318295739,
      "eval_f1": 0.8039756622954537,
      "eval_loss": 0.36543166637420654,
      "eval_precision": 0.8032299897460643,
      "eval_recall": 0.8047372249499909,
      "eval_runtime": 5.051,
      "eval_samples_per_second": 78.994,
      "eval_steps_per_second": 9.899,
      "step": 1708
    },
    {
      "epoch": 15.0,
      "grad_norm": 0.9552446007728577,
      "learning_rate": 1.25e-05,
      "loss": 0.3353,
      "step": 1830
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.8421052631578947,
      "eval_f1": 0.8127416435111035,
      "eval_loss": 0.37026751041412354,
      "eval_precision": 0.8079618768328446,
      "eval_recall": 0.8182851427532278,
      "eval_runtime": 5.0565,
      "eval_samples_per_second": 78.908,
      "eval_steps_per_second": 9.888,
      "step": 1830
    },
    {
      "epoch": 16.0,
      "grad_norm": 6.738326549530029,
      "learning_rate": 1e-05,
      "loss": 0.3213,
      "step": 1952
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.8370927318295739,
      "eval_f1": 0.8076965854743632,
      "eval_loss": 0.3708532154560089,
      "eval_precision": 0.8018925518925519,
      "eval_recall": 0.8147390434624477,
      "eval_runtime": 5.0546,
      "eval_samples_per_second": 78.937,
      "eval_steps_per_second": 9.892,
      "step": 1952
    },
    {
      "epoch": 17.0,
      "grad_norm": 2.96878719329834,
      "learning_rate": 7.5e-06,
      "loss": 0.3214,
      "step": 2074
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.8370927318295739,
      "eval_f1": 0.8058772015179527,
      "eval_loss": 0.36412617564201355,
      "eval_precision": 0.8024057525004439,
      "eval_recall": 0.8097381342062193,
      "eval_runtime": 5.0478,
      "eval_samples_per_second": 79.044,
      "eval_steps_per_second": 9.905,
      "step": 2074
    },
    {
      "epoch": 18.0,
      "grad_norm": 2.617929697036743,
      "learning_rate": 5e-06,
      "loss": 0.3225,
      "step": 2196
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.8370927318295739,
      "eval_f1": 0.8058772015179527,
      "eval_loss": 0.36399707198143005,
      "eval_precision": 0.8024057525004439,
      "eval_recall": 0.8097381342062193,
      "eval_runtime": 5.0536,
      "eval_samples_per_second": 78.953,
      "eval_steps_per_second": 9.894,
      "step": 2196
    },
    {
      "epoch": 19.0,
      "grad_norm": 3.830294132232666,
      "learning_rate": 2.5e-06,
      "loss": 0.3159,
      "step": 2318
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.8345864661654135,
      "eval_f1": 0.8033602150537634,
      "eval_loss": 0.3648917078971863,
      "eval_precision": 0.7993107104984093,
      "eval_recall": 0.8079650845608293,
      "eval_runtime": 5.1284,
      "eval_samples_per_second": 77.802,
      "eval_steps_per_second": 9.75,
      "step": 2318
    },
    {
      "epoch": 20.0,
      "grad_norm": 6.41981840133667,
      "learning_rate": 0.0,
      "loss": 0.3195,
      "step": 2440
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.8345864661654135,
      "eval_f1": 0.8033602150537634,
      "eval_loss": 0.36415907740592957,
      "eval_precision": 0.7993107104984093,
      "eval_recall": 0.8079650845608293,
      "eval_runtime": 5.106,
      "eval_samples_per_second": 78.143,
      "eval_steps_per_second": 9.792,
      "step": 2440
    },
    {
      "epoch": 20.0,
      "step": 2440,
      "total_flos": 7590599775312000.0,
      "train_loss": 0.38811437106523355,
      "train_runtime": 1952.7564,
      "train_samples_per_second": 37.26,
      "train_steps_per_second": 1.25
    }
  ],
  "logging_steps": 500,
  "max_steps": 2440,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 20,
  "save_steps": 500,
  "total_flos": 7590599775312000.0,
  "train_batch_size": 30,
  "trial_name": null,
  "trial_params": null
}