JEdward7777 commited on
Commit
3aa0bca
·
1 Parent(s): c6a7bf8

End of training

Browse files
all_results.json CHANGED
@@ -1,13 +1,13 @@
1
  {
2
  "epoch": 39.8,
3
- "eval_accuracy": 0.9814814814814815,
4
- "eval_loss": 0.11687792092561722,
5
- "eval_runtime": 3.9193,
6
- "eval_samples_per_second": 13.778,
7
- "eval_steps_per_second": 0.51,
8
  "total_flos": 4.7393239534534656e+17,
9
- "train_loss": 0.6489270607630412,
10
- "train_runtime": 2182.6681,
11
- "train_samples_per_second": 8.778,
12
- "train_steps_per_second": 0.055
13
  }
 
1
  {
2
  "epoch": 39.8,
3
+ "eval_accuracy": 0.9259259259259259,
4
+ "eval_loss": 0.24187135696411133,
5
+ "eval_runtime": 3.8793,
6
+ "eval_samples_per_second": 13.92,
7
+ "eval_steps_per_second": 0.516,
8
  "total_flos": 4.7393239534534656e+17,
9
+ "train_loss": 0.6987951993942261,
10
+ "train_runtime": 2118.2023,
11
+ "train_samples_per_second": 9.045,
12
+ "train_steps_per_second": 0.057
13
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 39.8,
3
- "eval_accuracy": 0.9814814814814815,
4
- "eval_loss": 0.11687792092561722,
5
- "eval_runtime": 3.9193,
6
- "eval_samples_per_second": 13.778,
7
- "eval_steps_per_second": 0.51
8
  }
 
1
  {
2
  "epoch": 39.8,
3
+ "eval_accuracy": 0.9259259259259259,
4
+ "eval_loss": 0.24187135696411133,
5
+ "eval_runtime": 3.8793,
6
+ "eval_samples_per_second": 13.92,
7
+ "eval_steps_per_second": 0.516
8
  }
runs/Nov30_17-36-36_b2664fd97c09/events.out.tfevents.1669832223.b2664fd97c09.78.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b3cab9c2ea0631d309ac899312df84867398882770ca459eac126133f3dc511
3
+ size 357
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 39.8,
3
  "total_flos": 4.7393239534534656e+17,
4
- "train_loss": 0.6489270607630412,
5
- "train_runtime": 2182.6681,
6
- "train_samples_per_second": 8.778,
7
- "train_steps_per_second": 0.055
8
  }
 
1
  {
2
  "epoch": 39.8,
3
  "total_flos": 4.7393239534534656e+17,
4
+ "train_loss": 0.6987951993942261,
5
+ "train_runtime": 2118.2023,
6
+ "train_samples_per_second": 9.045,
7
+ "train_steps_per_second": 0.057
8
  }
trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
- "best_metric": 0.9814814814814815,
3
- "best_model_checkpoint": "delivery_truck_classification/checkpoint-81",
4
  "epoch": 39.8,
5
  "global_step": 120,
6
  "is_hyper_param_search": false,
@@ -9,408 +9,408 @@
9
  "log_history": [
10
  {
11
  "epoch": 0.8,
12
- "eval_accuracy": 0.2037037037037037,
13
- "eval_loss": 1.7556031942367554,
14
- "eval_runtime": 3.778,
15
- "eval_samples_per_second": 14.293,
16
- "eval_steps_per_second": 0.529,
17
  "step": 3
18
  },
19
  {
20
  "epoch": 1.8,
21
- "eval_accuracy": 0.37037037037037035,
22
- "eval_loss": 1.5833455324172974,
23
- "eval_runtime": 4.1987,
24
- "eval_samples_per_second": 12.861,
25
- "eval_steps_per_second": 0.476,
26
  "step": 6
27
  },
28
  {
29
  "epoch": 2.8,
30
- "eval_accuracy": 0.5925925925925926,
31
- "eval_loss": 1.3483160734176636,
32
- "eval_runtime": 3.9811,
33
- "eval_samples_per_second": 13.564,
34
- "eval_steps_per_second": 0.502,
35
  "step": 9
36
  },
37
  {
38
  "epoch": 3.8,
39
- "eval_accuracy": 0.6666666666666666,
40
- "eval_loss": 1.1101388931274414,
41
- "eval_runtime": 3.792,
42
- "eval_samples_per_second": 14.241,
43
- "eval_steps_per_second": 0.527,
44
  "step": 12
45
  },
46
  {
47
  "epoch": 4.8,
48
- "eval_accuracy": 0.7222222222222222,
49
- "eval_loss": 0.9116207957267761,
50
- "eval_runtime": 4.055,
51
- "eval_samples_per_second": 13.317,
52
- "eval_steps_per_second": 0.493,
53
  "step": 15
54
  },
55
  {
56
  "epoch": 5.8,
57
- "eval_accuracy": 0.7407407407407407,
58
- "eval_loss": 0.7631537914276123,
59
- "eval_runtime": 4.0162,
60
- "eval_samples_per_second": 13.446,
61
- "eval_steps_per_second": 0.498,
62
  "step": 18
63
  },
64
  {
65
  "epoch": 6.53,
66
  "learning_rate": 4.62962962962963e-05,
67
- "loss": 1.7322,
68
  "step": 20
69
  },
70
  {
71
  "epoch": 6.8,
72
- "eval_accuracy": 0.7962962962962963,
73
- "eval_loss": 0.6118068695068359,
74
- "eval_runtime": 3.8828,
75
- "eval_samples_per_second": 13.908,
76
- "eval_steps_per_second": 0.515,
77
  "step": 21
78
  },
79
  {
80
  "epoch": 7.8,
81
- "eval_accuracy": 0.8518518518518519,
82
- "eval_loss": 0.501708984375,
83
- "eval_runtime": 4.0233,
84
- "eval_samples_per_second": 13.422,
85
- "eval_steps_per_second": 0.497,
86
  "step": 24
87
  },
88
  {
89
  "epoch": 8.8,
90
- "eval_accuracy": 0.8888888888888888,
91
- "eval_loss": 0.4240618944168091,
92
- "eval_runtime": 4.0079,
93
- "eval_samples_per_second": 13.473,
94
- "eval_steps_per_second": 0.499,
95
  "step": 27
96
  },
97
  {
98
  "epoch": 9.8,
99
- "eval_accuracy": 0.8703703703703703,
100
- "eval_loss": 0.3522408902645111,
101
- "eval_runtime": 3.8114,
102
- "eval_samples_per_second": 14.168,
103
- "eval_steps_per_second": 0.525,
104
  "step": 30
105
  },
106
  {
107
  "epoch": 10.8,
108
- "eval_accuracy": 0.9259259259259259,
109
- "eval_loss": 0.2918209135532379,
110
- "eval_runtime": 4.0352,
111
- "eval_samples_per_second": 13.382,
112
- "eval_steps_per_second": 0.496,
113
  "step": 33
114
  },
115
  {
116
  "epoch": 11.8,
117
- "eval_accuracy": 0.9259259259259259,
118
- "eval_loss": 0.2659091353416443,
119
- "eval_runtime": 4.0341,
120
- "eval_samples_per_second": 13.386,
121
- "eval_steps_per_second": 0.496,
122
  "step": 36
123
  },
124
  {
125
  "epoch": 12.8,
126
- "eval_accuracy": 0.9444444444444444,
127
- "eval_loss": 0.2587053179740906,
128
- "eval_runtime": 3.9977,
129
- "eval_samples_per_second": 13.508,
130
- "eval_steps_per_second": 0.5,
131
  "step": 39
132
  },
133
  {
134
  "epoch": 13.27,
135
  "learning_rate": 3.7037037037037037e-05,
136
- "loss": 0.7462,
137
  "step": 40
138
  },
139
  {
140
  "epoch": 13.8,
141
- "eval_accuracy": 0.9259259259259259,
142
- "eval_loss": 0.20625640451908112,
143
- "eval_runtime": 3.9968,
144
- "eval_samples_per_second": 13.511,
145
- "eval_steps_per_second": 0.5,
146
  "step": 42
147
  },
148
  {
149
  "epoch": 14.8,
150
- "eval_accuracy": 0.9259259259259259,
151
- "eval_loss": 0.1870189756155014,
152
- "eval_runtime": 4.0713,
153
- "eval_samples_per_second": 13.264,
154
- "eval_steps_per_second": 0.491,
155
  "step": 45
156
  },
157
  {
158
  "epoch": 15.8,
159
- "eval_accuracy": 0.9629629629629629,
160
- "eval_loss": 0.1739373356103897,
161
- "eval_runtime": 3.7563,
162
- "eval_samples_per_second": 14.376,
163
- "eval_steps_per_second": 0.532,
164
  "step": 48
165
  },
166
  {
167
  "epoch": 16.8,
168
- "eval_accuracy": 0.9259259259259259,
169
- "eval_loss": 0.20426180958747864,
170
- "eval_runtime": 4.0894,
171
- "eval_samples_per_second": 13.205,
172
  "eval_steps_per_second": 0.489,
173
  "step": 51
174
  },
175
  {
176
  "epoch": 17.8,
177
- "eval_accuracy": 0.9259259259259259,
178
- "eval_loss": 0.18968288600444794,
179
- "eval_runtime": 4.1068,
180
- "eval_samples_per_second": 13.149,
181
- "eval_steps_per_second": 0.487,
182
  "step": 54
183
  },
184
  {
185
  "epoch": 18.8,
186
- "eval_accuracy": 0.9444444444444444,
187
- "eval_loss": 0.17641673982143402,
188
- "eval_runtime": 3.7856,
189
- "eval_samples_per_second": 14.265,
190
- "eval_steps_per_second": 0.528,
191
  "step": 57
192
  },
193
  {
194
  "epoch": 19.8,
195
  "learning_rate": 2.777777777777778e-05,
196
- "loss": 0.4232,
197
  "step": 60
198
  },
199
  {
200
  "epoch": 19.8,
201
- "eval_accuracy": 0.9444444444444444,
202
- "eval_loss": 0.1586901694536209,
203
- "eval_runtime": 4.4136,
204
- "eval_samples_per_second": 12.235,
205
- "eval_steps_per_second": 0.453,
206
  "step": 60
207
  },
208
  {
209
  "epoch": 20.8,
210
- "eval_accuracy": 0.9629629629629629,
211
- "eval_loss": 0.15556305646896362,
212
- "eval_runtime": 4.0371,
213
- "eval_samples_per_second": 13.376,
214
- "eval_steps_per_second": 0.495,
215
  "step": 63
216
  },
217
  {
218
  "epoch": 21.8,
219
- "eval_accuracy": 0.9629629629629629,
220
- "eval_loss": 0.15161330997943878,
221
- "eval_runtime": 3.8866,
222
- "eval_samples_per_second": 13.894,
223
- "eval_steps_per_second": 0.515,
224
  "step": 66
225
  },
226
  {
227
  "epoch": 22.8,
228
- "eval_accuracy": 0.9629629629629629,
229
- "eval_loss": 0.12640085816383362,
230
- "eval_runtime": 3.9739,
231
- "eval_samples_per_second": 13.589,
232
- "eval_steps_per_second": 0.503,
233
  "step": 69
234
  },
235
  {
236
  "epoch": 23.8,
237
- "eval_accuracy": 0.9629629629629629,
238
- "eval_loss": 0.11799591779708862,
239
- "eval_runtime": 4.1809,
240
- "eval_samples_per_second": 12.916,
241
  "eval_steps_per_second": 0.478,
242
  "step": 72
243
  },
244
  {
245
  "epoch": 24.8,
246
- "eval_accuracy": 0.9629629629629629,
247
- "eval_loss": 0.11095747351646423,
248
- "eval_runtime": 3.7145,
249
- "eval_samples_per_second": 14.537,
250
- "eval_steps_per_second": 0.538,
251
  "step": 75
252
  },
253
  {
254
  "epoch": 25.8,
255
- "eval_accuracy": 0.9629629629629629,
256
- "eval_loss": 0.12324906885623932,
257
- "eval_runtime": 4.1986,
258
- "eval_samples_per_second": 12.861,
259
- "eval_steps_per_second": 0.476,
260
  "step": 78
261
  },
262
  {
263
  "epoch": 26.53,
264
  "learning_rate": 1.8518518518518518e-05,
265
- "loss": 0.3571,
266
  "step": 80
267
  },
268
  {
269
  "epoch": 26.8,
270
- "eval_accuracy": 0.9814814814814815,
271
- "eval_loss": 0.11687792092561722,
272
- "eval_runtime": 4.0469,
273
- "eval_samples_per_second": 13.344,
274
  "eval_steps_per_second": 0.494,
275
  "step": 81
276
  },
277
  {
278
  "epoch": 27.8,
279
- "eval_accuracy": 0.9814814814814815,
280
- "eval_loss": 0.10509185492992401,
281
- "eval_runtime": 3.8141,
282
- "eval_samples_per_second": 14.158,
283
- "eval_steps_per_second": 0.524,
284
  "step": 84
285
  },
286
  {
287
  "epoch": 28.8,
288
- "eval_accuracy": 0.9629629629629629,
289
- "eval_loss": 0.09857716411352158,
290
- "eval_runtime": 4.0141,
291
- "eval_samples_per_second": 13.452,
292
- "eval_steps_per_second": 0.498,
293
  "step": 87
294
  },
295
  {
296
  "epoch": 29.8,
297
- "eval_accuracy": 0.9629629629629629,
298
- "eval_loss": 0.09369004517793655,
299
- "eval_runtime": 4.0266,
300
- "eval_samples_per_second": 13.411,
301
- "eval_steps_per_second": 0.497,
302
  "step": 90
303
  },
304
  {
305
  "epoch": 30.8,
306
- "eval_accuracy": 0.9629629629629629,
307
- "eval_loss": 0.09307903051376343,
308
- "eval_runtime": 3.8076,
309
- "eval_samples_per_second": 14.182,
310
- "eval_steps_per_second": 0.525,
311
  "step": 93
312
  },
313
  {
314
  "epoch": 31.8,
315
- "eval_accuracy": 0.9629629629629629,
316
- "eval_loss": 0.09316574782133102,
317
- "eval_runtime": 3.9741,
318
- "eval_samples_per_second": 13.588,
319
- "eval_steps_per_second": 0.503,
320
  "step": 96
321
  },
322
  {
323
  "epoch": 32.8,
324
- "eval_accuracy": 0.9629629629629629,
325
- "eval_loss": 0.0940571129322052,
326
- "eval_runtime": 4.072,
327
- "eval_samples_per_second": 13.261,
328
- "eval_steps_per_second": 0.491,
329
  "step": 99
330
  },
331
  {
332
  "epoch": 33.27,
333
  "learning_rate": 9.259259259259259e-06,
334
- "loss": 0.3239,
335
  "step": 100
336
  },
337
  {
338
  "epoch": 33.8,
339
- "eval_accuracy": 0.9629629629629629,
340
- "eval_loss": 0.09196292608976364,
341
- "eval_runtime": 3.764,
342
- "eval_samples_per_second": 14.347,
343
- "eval_steps_per_second": 0.531,
344
  "step": 102
345
  },
346
  {
347
  "epoch": 34.8,
348
- "eval_accuracy": 0.9629629629629629,
349
- "eval_loss": 0.08508706837892532,
350
- "eval_runtime": 3.9778,
351
- "eval_samples_per_second": 13.575,
352
- "eval_steps_per_second": 0.503,
353
  "step": 105
354
  },
355
  {
356
  "epoch": 35.8,
357
- "eval_accuracy": 0.9629629629629629,
358
- "eval_loss": 0.08276030421257019,
359
- "eval_runtime": 4.0417,
360
- "eval_samples_per_second": 13.361,
361
- "eval_steps_per_second": 0.495,
362
  "step": 108
363
  },
364
  {
365
  "epoch": 36.8,
366
- "eval_accuracy": 0.9629629629629629,
367
- "eval_loss": 0.0810302197933197,
368
- "eval_runtime": 3.7281,
369
- "eval_samples_per_second": 14.485,
370
- "eval_steps_per_second": 0.536,
371
  "step": 111
372
  },
373
  {
374
  "epoch": 37.8,
375
- "eval_accuracy": 0.9629629629629629,
376
- "eval_loss": 0.0800759419798851,
377
- "eval_runtime": 4.1175,
378
- "eval_samples_per_second": 13.115,
379
- "eval_steps_per_second": 0.486,
380
  "step": 114
381
  },
382
  {
383
  "epoch": 38.8,
384
- "eval_accuracy": 0.9629629629629629,
385
- "eval_loss": 0.08043589442968369,
386
- "eval_runtime": 3.9928,
387
- "eval_samples_per_second": 13.524,
388
- "eval_steps_per_second": 0.501,
389
  "step": 117
390
  },
391
  {
392
  "epoch": 39.8,
393
  "learning_rate": 0.0,
394
- "loss": 0.3111,
395
  "step": 120
396
  },
397
  {
398
  "epoch": 39.8,
399
- "eval_accuracy": 0.9629629629629629,
400
- "eval_loss": 0.08069680631160736,
401
- "eval_runtime": 3.8487,
402
- "eval_samples_per_second": 14.031,
403
- "eval_steps_per_second": 0.52,
404
  "step": 120
405
  },
406
  {
407
  "epoch": 39.8,
408
  "step": 120,
409
  "total_flos": 4.7393239534534656e+17,
410
- "train_loss": 0.6489270607630412,
411
- "train_runtime": 2182.6681,
412
- "train_samples_per_second": 8.778,
413
- "train_steps_per_second": 0.055
414
  }
415
  ],
416
  "max_steps": 120,
 
1
  {
2
+ "best_metric": 0.9259259259259259,
3
+ "best_model_checkpoint": "delivery_truck_classification/checkpoint-66",
4
  "epoch": 39.8,
5
  "global_step": 120,
6
  "is_hyper_param_search": false,
 
9
  "log_history": [
10
  {
11
  "epoch": 0.8,
12
+ "eval_accuracy": 0.2222222222222222,
13
+ "eval_loss": 1.8672751188278198,
14
+ "eval_runtime": 3.8871,
15
+ "eval_samples_per_second": 13.892,
16
+ "eval_steps_per_second": 0.515,
17
  "step": 3
18
  },
19
  {
20
  "epoch": 1.8,
21
+ "eval_accuracy": 0.25925925925925924,
22
+ "eval_loss": 1.7420549392700195,
23
+ "eval_runtime": 4.3749,
24
+ "eval_samples_per_second": 12.343,
25
+ "eval_steps_per_second": 0.457,
26
  "step": 6
27
  },
28
  {
29
  "epoch": 2.8,
30
+ "eval_accuracy": 0.42592592592592593,
31
+ "eval_loss": 1.5909960269927979,
32
+ "eval_runtime": 4.1131,
33
+ "eval_samples_per_second": 13.129,
34
+ "eval_steps_per_second": 0.486,
35
  "step": 9
36
  },
37
  {
38
  "epoch": 3.8,
39
+ "eval_accuracy": 0.5,
40
+ "eval_loss": 1.4371126890182495,
41
+ "eval_runtime": 3.8435,
42
+ "eval_samples_per_second": 14.05,
43
+ "eval_steps_per_second": 0.52,
44
  "step": 12
45
  },
46
  {
47
  "epoch": 4.8,
48
+ "eval_accuracy": 0.5740740740740741,
49
+ "eval_loss": 1.2870995998382568,
50
+ "eval_runtime": 4.1635,
51
+ "eval_samples_per_second": 12.97,
52
+ "eval_steps_per_second": 0.48,
53
  "step": 15
54
  },
55
  {
56
  "epoch": 5.8,
57
+ "eval_accuracy": 0.5740740740740741,
58
+ "eval_loss": 1.1510515213012695,
59
+ "eval_runtime": 4.0675,
60
+ "eval_samples_per_second": 13.276,
61
+ "eval_steps_per_second": 0.492,
62
  "step": 18
63
  },
64
  {
65
  "epoch": 6.53,
66
  "learning_rate": 4.62962962962963e-05,
67
+ "loss": 1.8164,
68
  "step": 20
69
  },
70
  {
71
  "epoch": 6.8,
72
+ "eval_accuracy": 0.7222222222222222,
73
+ "eval_loss": 0.9362860321998596,
74
+ "eval_runtime": 3.7257,
75
+ "eval_samples_per_second": 14.494,
76
+ "eval_steps_per_second": 0.537,
77
  "step": 21
78
  },
79
  {
80
  "epoch": 7.8,
81
+ "eval_accuracy": 0.7777777777777778,
82
+ "eval_loss": 0.7902935147285461,
83
+ "eval_runtime": 4.0908,
84
+ "eval_samples_per_second": 13.2,
85
+ "eval_steps_per_second": 0.489,
86
  "step": 24
87
  },
88
  {
89
  "epoch": 8.8,
90
+ "eval_accuracy": 0.7592592592592593,
91
+ "eval_loss": 0.6839045882225037,
92
+ "eval_runtime": 4.2293,
93
+ "eval_samples_per_second": 12.768,
94
+ "eval_steps_per_second": 0.473,
95
  "step": 27
96
  },
97
  {
98
  "epoch": 9.8,
99
+ "eval_accuracy": 0.7777777777777778,
100
+ "eval_loss": 0.5660675764083862,
101
+ "eval_runtime": 3.7011,
102
+ "eval_samples_per_second": 14.59,
103
+ "eval_steps_per_second": 0.54,
104
  "step": 30
105
  },
106
  {
107
  "epoch": 10.8,
108
+ "eval_accuracy": 0.8518518518518519,
109
+ "eval_loss": 0.4638045132160187,
110
+ "eval_runtime": 4.0924,
111
+ "eval_samples_per_second": 13.195,
112
+ "eval_steps_per_second": 0.489,
113
  "step": 33
114
  },
115
  {
116
  "epoch": 11.8,
117
+ "eval_accuracy": 0.8703703703703703,
118
+ "eval_loss": 0.4015035033226013,
119
+ "eval_runtime": 4.126,
120
+ "eval_samples_per_second": 13.088,
121
+ "eval_steps_per_second": 0.485,
122
  "step": 36
123
  },
124
  {
125
  "epoch": 12.8,
126
+ "eval_accuracy": 0.8703703703703703,
127
+ "eval_loss": 0.3809252083301544,
128
+ "eval_runtime": 3.7332,
129
+ "eval_samples_per_second": 14.465,
130
+ "eval_steps_per_second": 0.536,
131
  "step": 39
132
  },
133
  {
134
  "epoch": 13.27,
135
  "learning_rate": 3.7037037037037037e-05,
136
+ "loss": 0.8525,
137
  "step": 40
138
  },
139
  {
140
  "epoch": 13.8,
141
+ "eval_accuracy": 0.9074074074074074,
142
+ "eval_loss": 0.32140079140663147,
143
+ "eval_runtime": 4.0811,
144
+ "eval_samples_per_second": 13.232,
145
+ "eval_steps_per_second": 0.49,
146
  "step": 42
147
  },
148
  {
149
  "epoch": 14.8,
150
+ "eval_accuracy": 0.8703703703703703,
151
+ "eval_loss": 0.31137827038764954,
152
+ "eval_runtime": 4.0629,
153
+ "eval_samples_per_second": 13.291,
154
+ "eval_steps_per_second": 0.492,
155
  "step": 45
156
  },
157
  {
158
  "epoch": 15.8,
159
+ "eval_accuracy": 0.8888888888888888,
160
+ "eval_loss": 0.30256393551826477,
161
+ "eval_runtime": 3.8458,
162
+ "eval_samples_per_second": 14.041,
163
+ "eval_steps_per_second": 0.52,
164
  "step": 48
165
  },
166
  {
167
  "epoch": 16.8,
168
+ "eval_accuracy": 0.8888888888888888,
169
+ "eval_loss": 0.2969690263271332,
170
+ "eval_runtime": 4.091,
171
+ "eval_samples_per_second": 13.2,
172
  "eval_steps_per_second": 0.489,
173
  "step": 51
174
  },
175
  {
176
  "epoch": 17.8,
177
+ "eval_accuracy": 0.8888888888888888,
178
+ "eval_loss": 0.2597466707229614,
179
+ "eval_runtime": 4.0172,
180
+ "eval_samples_per_second": 13.442,
181
+ "eval_steps_per_second": 0.498,
182
  "step": 54
183
  },
184
  {
185
  "epoch": 18.8,
186
+ "eval_accuracy": 0.8888888888888888,
187
+ "eval_loss": 0.2791738212108612,
188
+ "eval_runtime": 3.7642,
189
+ "eval_samples_per_second": 14.346,
190
+ "eval_steps_per_second": 0.531,
191
  "step": 57
192
  },
193
  {
194
  "epoch": 19.8,
195
  "learning_rate": 2.777777777777778e-05,
196
+ "loss": 0.4831,
197
  "step": 60
198
  },
199
  {
200
  "epoch": 19.8,
201
+ "eval_accuracy": 0.8703703703703703,
202
+ "eval_loss": 0.3208976984024048,
203
+ "eval_runtime": 4.0804,
204
+ "eval_samples_per_second": 13.234,
205
+ "eval_steps_per_second": 0.49,
206
  "step": 60
207
  },
208
  {
209
  "epoch": 20.8,
210
+ "eval_accuracy": 0.9074074074074074,
211
+ "eval_loss": 0.2928622364997864,
212
+ "eval_runtime": 4.1417,
213
+ "eval_samples_per_second": 13.038,
214
+ "eval_steps_per_second": 0.483,
215
  "step": 63
216
  },
217
  {
218
  "epoch": 21.8,
219
+ "eval_accuracy": 0.9259259259259259,
220
+ "eval_loss": 0.24187135696411133,
221
+ "eval_runtime": 3.7664,
222
+ "eval_samples_per_second": 14.337,
223
+ "eval_steps_per_second": 0.531,
224
  "step": 66
225
  },
226
  {
227
  "epoch": 22.8,
228
+ "eval_accuracy": 0.9074074074074074,
229
+ "eval_loss": 0.24963845312595367,
230
+ "eval_runtime": 4.1506,
231
+ "eval_samples_per_second": 13.01,
232
+ "eval_steps_per_second": 0.482,
233
  "step": 69
234
  },
235
  {
236
  "epoch": 23.8,
237
+ "eval_accuracy": 0.9074074074074074,
238
+ "eval_loss": 0.29534202814102173,
239
+ "eval_runtime": 4.1866,
240
+ "eval_samples_per_second": 12.898,
241
  "eval_steps_per_second": 0.478,
242
  "step": 72
243
  },
244
  {
245
  "epoch": 24.8,
246
+ "eval_accuracy": 0.8888888888888888,
247
+ "eval_loss": 0.30937835574150085,
248
+ "eval_runtime": 3.7669,
249
+ "eval_samples_per_second": 14.336,
250
+ "eval_steps_per_second": 0.531,
251
  "step": 75
252
  },
253
  {
254
  "epoch": 25.8,
255
+ "eval_accuracy": 0.9259259259259259,
256
+ "eval_loss": 0.2792222201824188,
257
+ "eval_runtime": 4.0339,
258
+ "eval_samples_per_second": 13.387,
259
+ "eval_steps_per_second": 0.496,
260
  "step": 78
261
  },
262
  {
263
  "epoch": 26.53,
264
  "learning_rate": 1.8518518518518518e-05,
265
+ "loss": 0.3889,
266
  "step": 80
267
  },
268
  {
269
  "epoch": 26.8,
270
+ "eval_accuracy": 0.9259259259259259,
271
+ "eval_loss": 0.2522352933883667,
272
+ "eval_runtime": 4.0446,
273
+ "eval_samples_per_second": 13.351,
274
  "eval_steps_per_second": 0.494,
275
  "step": 81
276
  },
277
  {
278
  "epoch": 27.8,
279
+ "eval_accuracy": 0.9259259259259259,
280
+ "eval_loss": 0.24507637321949005,
281
+ "eval_runtime": 3.701,
282
+ "eval_samples_per_second": 14.591,
283
+ "eval_steps_per_second": 0.54,
284
  "step": 84
285
  },
286
  {
287
  "epoch": 28.8,
288
+ "eval_accuracy": 0.9074074074074074,
289
+ "eval_loss": 0.2540915906429291,
290
+ "eval_runtime": 4.1415,
291
+ "eval_samples_per_second": 13.039,
292
+ "eval_steps_per_second": 0.483,
293
  "step": 87
294
  },
295
  {
296
  "epoch": 29.8,
297
+ "eval_accuracy": 0.9074074074074074,
298
+ "eval_loss": 0.2718075215816498,
299
+ "eval_runtime": 4.0783,
300
+ "eval_samples_per_second": 13.241,
301
+ "eval_steps_per_second": 0.49,
302
  "step": 90
303
  },
304
  {
305
  "epoch": 30.8,
306
+ "eval_accuracy": 0.9074074074074074,
307
+ "eval_loss": 0.2738485634326935,
308
+ "eval_runtime": 3.7309,
309
+ "eval_samples_per_second": 14.474,
310
+ "eval_steps_per_second": 0.536,
311
  "step": 93
312
  },
313
  {
314
  "epoch": 31.8,
315
+ "eval_accuracy": 0.9259259259259259,
316
+ "eval_loss": 0.26387789845466614,
317
+ "eval_runtime": 4.0527,
318
+ "eval_samples_per_second": 13.324,
319
+ "eval_steps_per_second": 0.493,
320
  "step": 96
321
  },
322
  {
323
  "epoch": 32.8,
324
+ "eval_accuracy": 0.9259259259259259,
325
+ "eval_loss": 0.25608906149864197,
326
+ "eval_runtime": 4.0393,
327
+ "eval_samples_per_second": 13.369,
328
+ "eval_steps_per_second": 0.495,
329
  "step": 99
330
  },
331
  {
332
  "epoch": 33.27,
333
  "learning_rate": 9.259259259259259e-06,
334
+ "loss": 0.3407,
335
  "step": 100
336
  },
337
  {
338
  "epoch": 33.8,
339
+ "eval_accuracy": 0.9259259259259259,
340
+ "eval_loss": 0.2497122436761856,
341
+ "eval_runtime": 3.7801,
342
+ "eval_samples_per_second": 14.285,
343
+ "eval_steps_per_second": 0.529,
344
  "step": 102
345
  },
346
  {
347
  "epoch": 34.8,
348
+ "eval_accuracy": 0.9259259259259259,
349
+ "eval_loss": 0.2501243054866791,
350
+ "eval_runtime": 4.0375,
351
+ "eval_samples_per_second": 13.374,
352
+ "eval_steps_per_second": 0.495,
353
  "step": 105
354
  },
355
  {
356
  "epoch": 35.8,
357
+ "eval_accuracy": 0.9259259259259259,
358
+ "eval_loss": 0.24550123512744904,
359
+ "eval_runtime": 4.0543,
360
+ "eval_samples_per_second": 13.319,
361
+ "eval_steps_per_second": 0.493,
362
  "step": 108
363
  },
364
  {
365
  "epoch": 36.8,
366
+ "eval_accuracy": 0.9259259259259259,
367
+ "eval_loss": 0.238052099943161,
368
+ "eval_runtime": 3.8053,
369
+ "eval_samples_per_second": 14.191,
370
+ "eval_steps_per_second": 0.526,
371
  "step": 111
372
  },
373
  {
374
  "epoch": 37.8,
375
+ "eval_accuracy": 0.9259259259259259,
376
+ "eval_loss": 0.23396454751491547,
377
+ "eval_runtime": 4.0536,
378
+ "eval_samples_per_second": 13.321,
379
+ "eval_steps_per_second": 0.493,
380
  "step": 114
381
  },
382
  {
383
  "epoch": 38.8,
384
+ "eval_accuracy": 0.9259259259259259,
385
+ "eval_loss": 0.23214255273342133,
386
+ "eval_runtime": 4.0625,
387
+ "eval_samples_per_second": 13.292,
388
+ "eval_steps_per_second": 0.492,
389
  "step": 117
390
  },
391
  {
392
  "epoch": 39.8,
393
  "learning_rate": 0.0,
394
+ "loss": 0.3112,
395
  "step": 120
396
  },
397
  {
398
  "epoch": 39.8,
399
+ "eval_accuracy": 0.9259259259259259,
400
+ "eval_loss": 0.23147787153720856,
401
+ "eval_runtime": 3.7365,
402
+ "eval_samples_per_second": 14.452,
403
+ "eval_steps_per_second": 0.535,
404
  "step": 120
405
  },
406
  {
407
  "epoch": 39.8,
408
  "step": 120,
409
  "total_flos": 4.7393239534534656e+17,
410
+ "train_loss": 0.6987951993942261,
411
+ "train_runtime": 2118.2023,
412
+ "train_samples_per_second": 9.045,
413
+ "train_steps_per_second": 0.057
414
  }
415
  ],
416
  "max_steps": 120,