File size: 8,725 Bytes
386f984
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 1.0687414407730103,
  "best_model_checkpoint": "/kaggle/output/checkpoint-22000",
  "epoch": 0.8963494132985659,
  "eval_steps": 1000,
  "global_step": 22000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0,
      "learning_rate": 2.7777777777777777e-11,
      "loss": 1.05,
      "step": 1
    },
    {
      "epoch": 0.04,
      "learning_rate": 2.7750000000000004e-08,
      "loss": 1.1403,
      "step": 1000
    },
    {
      "epoch": 0.04,
      "eval_accuracy": 0.33712574850299404,
      "eval_loss": 1.1030837297439575,
      "eval_runtime": 29.7882,
      "eval_samples_per_second": 168.187,
      "eval_steps_per_second": 21.049,
      "step": 1000
    },
    {
      "epoch": 0.08,
      "learning_rate": 5.5527777777777784e-08,
      "loss": 1.1194,
      "step": 2000
    },
    {
      "epoch": 0.08,
      "eval_accuracy": 0.34331337325349304,
      "eval_loss": 1.1002165079116821,
      "eval_runtime": 29.8685,
      "eval_samples_per_second": 167.735,
      "eval_steps_per_second": 20.992,
      "step": 2000
    },
    {
      "epoch": 0.12,
      "learning_rate": 8.327777777777778e-08,
      "loss": 1.1194,
      "step": 3000
    },
    {
      "epoch": 0.12,
      "eval_accuracy": 0.3471057884231537,
      "eval_loss": 1.101266622543335,
      "eval_runtime": 29.709,
      "eval_samples_per_second": 168.636,
      "eval_steps_per_second": 21.105,
      "step": 3000
    },
    {
      "epoch": 0.16,
      "learning_rate": 1.1105555555555557e-07,
      "loss": 1.1166,
      "step": 4000
    },
    {
      "epoch": 0.16,
      "eval_accuracy": 0.34311377245508984,
      "eval_loss": 1.0984796285629272,
      "eval_runtime": 29.9401,
      "eval_samples_per_second": 167.334,
      "eval_steps_per_second": 20.942,
      "step": 4000
    },
    {
      "epoch": 0.2,
      "learning_rate": 1.3883333333333335e-07,
      "loss": 1.1137,
      "step": 5000
    },
    {
      "epoch": 0.2,
      "eval_accuracy": 0.3403193612774451,
      "eval_loss": 1.0974279642105103,
      "eval_runtime": 29.8185,
      "eval_samples_per_second": 168.016,
      "eval_steps_per_second": 21.027,
      "step": 5000
    },
    {
      "epoch": 0.24,
      "learning_rate": 1.6658333333333335e-07,
      "loss": 1.1109,
      "step": 6000
    },
    {
      "epoch": 0.24,
      "eval_accuracy": 0.3592814371257485,
      "eval_loss": 1.0984892845153809,
      "eval_runtime": 29.893,
      "eval_samples_per_second": 167.598,
      "eval_steps_per_second": 20.975,
      "step": 6000
    },
    {
      "epoch": 0.29,
      "learning_rate": 1.9436111111111112e-07,
      "loss": 1.1122,
      "step": 7000
    },
    {
      "epoch": 0.29,
      "eval_accuracy": 0.36327345309381237,
      "eval_loss": 1.0960686206817627,
      "eval_runtime": 29.8315,
      "eval_samples_per_second": 167.943,
      "eval_steps_per_second": 21.018,
      "step": 7000
    },
    {
      "epoch": 0.33,
      "learning_rate": 2.2213888888888891e-07,
      "loss": 1.1091,
      "step": 8000
    },
    {
      "epoch": 0.33,
      "eval_accuracy": 0.35728542914171657,
      "eval_loss": 1.0958523750305176,
      "eval_runtime": 29.9494,
      "eval_samples_per_second": 167.282,
      "eval_steps_per_second": 20.935,
      "step": 8000
    },
    {
      "epoch": 0.37,
      "learning_rate": 2.4988888888888893e-07,
      "loss": 1.1077,
      "step": 9000
    },
    {
      "epoch": 0.37,
      "eval_accuracy": 0.35528942115768464,
      "eval_loss": 1.1003851890563965,
      "eval_runtime": 29.9762,
      "eval_samples_per_second": 167.133,
      "eval_steps_per_second": 20.917,
      "step": 9000
    },
    {
      "epoch": 0.41,
      "learning_rate": 2.776666666666667e-07,
      "loss": 1.1091,
      "step": 10000
    },
    {
      "epoch": 0.41,
      "eval_accuracy": 0.3790419161676647,
      "eval_loss": 1.0951762199401855,
      "eval_runtime": 29.8593,
      "eval_samples_per_second": 167.787,
      "eval_steps_per_second": 20.998,
      "step": 10000
    },
    {
      "epoch": 0.45,
      "learning_rate": 3.0541666666666667e-07,
      "loss": 1.1047,
      "step": 11000
    },
    {
      "epoch": 0.45,
      "eval_accuracy": 0.3780439121756487,
      "eval_loss": 1.0928910970687866,
      "eval_runtime": 29.8768,
      "eval_samples_per_second": 167.689,
      "eval_steps_per_second": 20.986,
      "step": 11000
    },
    {
      "epoch": 0.49,
      "learning_rate": 3.3319444444444444e-07,
      "loss": 1.1053,
      "step": 12000
    },
    {
      "epoch": 0.49,
      "eval_accuracy": 0.38323353293413176,
      "eval_loss": 1.0910215377807617,
      "eval_runtime": 29.8703,
      "eval_samples_per_second": 167.725,
      "eval_steps_per_second": 20.991,
      "step": 12000
    },
    {
      "epoch": 0.53,
      "learning_rate": 3.6094444444444446e-07,
      "loss": 1.1035,
      "step": 13000
    },
    {
      "epoch": 0.53,
      "eval_accuracy": 0.34850299401197604,
      "eval_loss": 1.0930161476135254,
      "eval_runtime": 29.8865,
      "eval_samples_per_second": 167.634,
      "eval_steps_per_second": 20.979,
      "step": 13000
    },
    {
      "epoch": 0.57,
      "learning_rate": 3.8872222222222223e-07,
      "loss": 1.1002,
      "step": 14000
    },
    {
      "epoch": 0.57,
      "eval_accuracy": 0.3646706586826347,
      "eval_loss": 1.093497633934021,
      "eval_runtime": 30.0222,
      "eval_samples_per_second": 166.877,
      "eval_steps_per_second": 20.885,
      "step": 14000
    },
    {
      "epoch": 0.61,
      "learning_rate": 4.1647222222222225e-07,
      "loss": 1.1025,
      "step": 15000
    },
    {
      "epoch": 0.61,
      "eval_accuracy": 0.37924151696606784,
      "eval_loss": 1.0900779962539673,
      "eval_runtime": 30.0049,
      "eval_samples_per_second": 166.973,
      "eval_steps_per_second": 20.897,
      "step": 15000
    },
    {
      "epoch": 0.65,
      "learning_rate": 4.4425e-07,
      "loss": 1.0992,
      "step": 16000
    },
    {
      "epoch": 0.65,
      "eval_accuracy": 0.40119760479041916,
      "eval_loss": 1.0855979919433594,
      "eval_runtime": 30.1095,
      "eval_samples_per_second": 166.393,
      "eval_steps_per_second": 20.824,
      "step": 16000
    },
    {
      "epoch": 0.69,
      "learning_rate": 4.7200000000000004e-07,
      "loss": 1.0965,
      "step": 17000
    },
    {
      "epoch": 0.69,
      "eval_accuracy": 0.4171656686626746,
      "eval_loss": 1.0845381021499634,
      "eval_runtime": 30.0586,
      "eval_samples_per_second": 166.674,
      "eval_steps_per_second": 20.859,
      "step": 17000
    },
    {
      "epoch": 0.73,
      "learning_rate": 4.997777777777779e-07,
      "loss": 1.0962,
      "step": 18000
    },
    {
      "epoch": 0.73,
      "eval_accuracy": 0.4087824351297405,
      "eval_loss": 1.0860552787780762,
      "eval_runtime": 30.2343,
      "eval_samples_per_second": 165.706,
      "eval_steps_per_second": 20.738,
      "step": 18000
    },
    {
      "epoch": 0.77,
      "learning_rate": 5.275277777777778e-07,
      "loss": 1.0936,
      "step": 19000
    },
    {
      "epoch": 0.77,
      "eval_accuracy": 0.4039920159680639,
      "eval_loss": 1.0822259187698364,
      "eval_runtime": 30.216,
      "eval_samples_per_second": 165.806,
      "eval_steps_per_second": 20.751,
      "step": 19000
    },
    {
      "epoch": 0.81,
      "learning_rate": 5.553055555555556e-07,
      "loss": 1.0923,
      "step": 20000
    },
    {
      "epoch": 0.81,
      "eval_accuracy": 0.4095808383233533,
      "eval_loss": 1.0820951461791992,
      "eval_runtime": 29.968,
      "eval_samples_per_second": 167.178,
      "eval_steps_per_second": 20.922,
      "step": 20000
    },
    {
      "epoch": 0.86,
      "learning_rate": 5.830555555555556e-07,
      "loss": 1.0897,
      "step": 21000
    },
    {
      "epoch": 0.86,
      "eval_accuracy": 0.4149700598802395,
      "eval_loss": 1.0763800144195557,
      "eval_runtime": 30.021,
      "eval_samples_per_second": 166.883,
      "eval_steps_per_second": 20.885,
      "step": 21000
    },
    {
      "epoch": 0.9,
      "learning_rate": 6.108333333333333e-07,
      "loss": 1.0888,
      "step": 22000
    },
    {
      "epoch": 0.9,
      "eval_accuracy": 0.43193612774451096,
      "eval_loss": 1.0687414407730103,
      "eval_runtime": 30.1577,
      "eval_samples_per_second": 166.127,
      "eval_steps_per_second": 20.791,
      "step": 22000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 10000000,
  "num_train_epochs": 408,
  "save_steps": 1000,
  "total_flos": 2.2994529288192e+16,
  "trial_name": null,
  "trial_params": null
}