File size: 8,508 Bytes
407792a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.23472924530506134,
  "best_model_checkpoint": "gbert-base-coherence/checkpoint-1501",
  "epoch": 10.0,
  "eval_steps": 500,
  "global_step": 15010,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.3331112591605596,
      "grad_norm": 28.719581604003906,
      "learning_rate": 1.933377748167888e-05,
      "loss": 0.3923,
      "step": 500
    },
    {
      "epoch": 0.6662225183211192,
      "grad_norm": 13.917981147766113,
      "learning_rate": 1.8667554963357762e-05,
      "loss": 0.2865,
      "step": 1000
    },
    {
      "epoch": 0.9993337774816788,
      "grad_norm": 2.144211530685425,
      "learning_rate": 1.8001332445036644e-05,
      "loss": 0.2602,
      "step": 1500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.931022992335888,
      "eval_loss": 0.23472924530506134,
      "eval_runtime": 79.2839,
      "eval_samples_per_second": 37.851,
      "eval_steps_per_second": 4.742,
      "step": 1501
    },
    {
      "epoch": 1.3324450366422385,
      "grad_norm": 13.009034156799316,
      "learning_rate": 1.7335109926715526e-05,
      "loss": 0.1572,
      "step": 2000
    },
    {
      "epoch": 1.6655562958027983,
      "grad_norm": 18.67208480834961,
      "learning_rate": 1.6668887408394405e-05,
      "loss": 0.1596,
      "step": 2500
    },
    {
      "epoch": 1.9986675549633577,
      "grad_norm": 0.15106837451457977,
      "learning_rate": 1.6002664890073287e-05,
      "loss": 0.1786,
      "step": 3000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9326891036321227,
      "eval_loss": 0.33763834834098816,
      "eval_runtime": 79.2133,
      "eval_samples_per_second": 37.885,
      "eval_steps_per_second": 4.747,
      "step": 3002
    },
    {
      "epoch": 2.3317788141239175,
      "grad_norm": 0.12679459154605865,
      "learning_rate": 1.533644237175217e-05,
      "loss": 0.1087,
      "step": 3500
    },
    {
      "epoch": 2.664890073284477,
      "grad_norm": 0.04688257351517677,
      "learning_rate": 1.4670219853431047e-05,
      "loss": 0.0959,
      "step": 4000
    },
    {
      "epoch": 2.9980013324450367,
      "grad_norm": 0.05462646484375,
      "learning_rate": 1.4003997335109927e-05,
      "loss": 0.1304,
      "step": 4500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9416861046317894,
      "eval_loss": 0.2770719528198242,
      "eval_runtime": 79.0122,
      "eval_samples_per_second": 37.981,
      "eval_steps_per_second": 4.759,
      "step": 4503
    },
    {
      "epoch": 3.331112591605596,
      "grad_norm": 0.023221973329782486,
      "learning_rate": 1.333777481678881e-05,
      "loss": 0.0541,
      "step": 5000
    },
    {
      "epoch": 3.664223850766156,
      "grad_norm": 0.03963194414973259,
      "learning_rate": 1.2671552298467688e-05,
      "loss": 0.094,
      "step": 5500
    },
    {
      "epoch": 3.9973351099267154,
      "grad_norm": 0.017608487978577614,
      "learning_rate": 1.2005329780146572e-05,
      "loss": 0.0714,
      "step": 6000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9373542152615795,
      "eval_loss": 0.3465879261493683,
      "eval_runtime": 79.2311,
      "eval_samples_per_second": 37.877,
      "eval_steps_per_second": 4.746,
      "step": 6004
    },
    {
      "epoch": 4.330446369087275,
      "grad_norm": 0.09371895343065262,
      "learning_rate": 1.133910726182545e-05,
      "loss": 0.0605,
      "step": 6500
    },
    {
      "epoch": 4.663557628247835,
      "grad_norm": 0.012564590200781822,
      "learning_rate": 1.067288474350433e-05,
      "loss": 0.0507,
      "step": 7000
    },
    {
      "epoch": 4.996668887408394,
      "grad_norm": 0.006542444694787264,
      "learning_rate": 1.0006662225183212e-05,
      "loss": 0.0522,
      "step": 7500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9346884371876041,
      "eval_loss": 0.4178318381309509,
      "eval_runtime": 80.538,
      "eval_samples_per_second": 37.262,
      "eval_steps_per_second": 4.669,
      "step": 7505
    },
    {
      "epoch": 5.329780146568954,
      "grad_norm": 0.0024416144005954266,
      "learning_rate": 9.340439706862093e-06,
      "loss": 0.0333,
      "step": 8000
    },
    {
      "epoch": 5.662891405729514,
      "grad_norm": 0.0012970881070941687,
      "learning_rate": 8.674217188540973e-06,
      "loss": 0.0382,
      "step": 8500
    },
    {
      "epoch": 5.9960026648900735,
      "grad_norm": 35.38675308227539,
      "learning_rate": 8.007994670219855e-06,
      "loss": 0.0412,
      "step": 9000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9410196601132955,
      "eval_loss": 0.41738784313201904,
      "eval_runtime": 81.7142,
      "eval_samples_per_second": 36.726,
      "eval_steps_per_second": 4.601,
      "step": 9006
    },
    {
      "epoch": 6.329113924050633,
      "grad_norm": 0.0018868366023525596,
      "learning_rate": 7.341772151898735e-06,
      "loss": 0.0203,
      "step": 9500
    },
    {
      "epoch": 6.662225183211192,
      "grad_norm": 0.006074848584830761,
      "learning_rate": 6.675549633577616e-06,
      "loss": 0.0254,
      "step": 10000
    },
    {
      "epoch": 6.995336442371752,
      "grad_norm": 0.002733612433075905,
      "learning_rate": 6.0093271152564956e-06,
      "loss": 0.0257,
      "step": 10500
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.9386871042985672,
      "eval_loss": 0.4337184727191925,
      "eval_runtime": 79.6612,
      "eval_samples_per_second": 37.672,
      "eval_steps_per_second": 4.72,
      "step": 10507
    },
    {
      "epoch": 7.328447701532312,
      "grad_norm": 0.0014540842967107892,
      "learning_rate": 5.343104596935377e-06,
      "loss": 0.0133,
      "step": 11000
    },
    {
      "epoch": 7.661558960692871,
      "grad_norm": 0.0015297214267775416,
      "learning_rate": 4.676882078614258e-06,
      "loss": 0.0185,
      "step": 11500
    },
    {
      "epoch": 7.994670219853431,
      "grad_norm": 0.002298834966495633,
      "learning_rate": 4.010659560293138e-06,
      "loss": 0.0242,
      "step": 12000
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.9386871042985672,
      "eval_loss": 0.4563041627407074,
      "eval_runtime": 80.0558,
      "eval_samples_per_second": 37.486,
      "eval_steps_per_second": 4.697,
      "step": 12008
    },
    {
      "epoch": 8.327781479013991,
      "grad_norm": 0.005631518550217152,
      "learning_rate": 3.344437041972019e-06,
      "loss": 0.0116,
      "step": 12500
    },
    {
      "epoch": 8.66089273817455,
      "grad_norm": 0.0021366027649492025,
      "learning_rate": 2.6782145236508994e-06,
      "loss": 0.0115,
      "step": 13000
    },
    {
      "epoch": 8.99400399733511,
      "grad_norm": 0.004204094875603914,
      "learning_rate": 2.0119920053297805e-06,
      "loss": 0.0123,
      "step": 13500
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.9430189936687771,
      "eval_loss": 0.45750224590301514,
      "eval_runtime": 80.6273,
      "eval_samples_per_second": 37.221,
      "eval_steps_per_second": 4.663,
      "step": 13509
    },
    {
      "epoch": 9.32711525649567,
      "grad_norm": 0.0010383282788097858,
      "learning_rate": 1.345769487008661e-06,
      "loss": 0.0059,
      "step": 14000
    },
    {
      "epoch": 9.660226515656229,
      "grad_norm": 0.0029374095611274242,
      "learning_rate": 6.795469686875417e-07,
      "loss": 0.004,
      "step": 14500
    },
    {
      "epoch": 9.993337774816789,
      "grad_norm": 0.0018527992069721222,
      "learning_rate": 1.3324450366422387e-08,
      "loss": 0.0059,
      "step": 15000
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.943352215928024,
      "eval_loss": 0.48842695355415344,
      "eval_runtime": 81.3925,
      "eval_samples_per_second": 36.871,
      "eval_steps_per_second": 4.62,
      "step": 15010
    }
  ],
  "logging_steps": 500,
  "max_steps": 15010,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 3.15812199748608e+16,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}