Training in progress, epoch 0
Browse files- all_results.json +5 -5
- pytorch_model.bin +2 -2
- test_results.json +5 -5
- trainer_state.json +493 -493
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 49.02,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 16.
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 49.02,
|
3 |
+
"eval_accuracy": 0.9431818181818182,
|
4 |
+
"eval_loss": 0.2483096718788147,
|
5 |
+
"eval_runtime": 5.3467,
|
6 |
+
"eval_samples_per_second": 16.459,
|
7 |
+
"eval_steps_per_second": 4.115
|
8 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:00ad1a6a98c838df0b38ec1a227af8dac858d11eeff0cc9fec722042b8cfa0a5
|
3 |
+
size 345004687
|
test_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 49.02,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 16.
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 49.02,
|
3 |
+
"eval_accuracy": 0.9431818181818182,
|
4 |
+
"eval_loss": 0.2483096718788147,
|
5 |
+
"eval_runtime": 5.3467,
|
6 |
+
"eval_samples_per_second": 16.459,
|
7 |
+
"eval_steps_per_second": 4.115
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
"best_metric": 1.0,
|
3 |
-
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-
|
4 |
"epoch": 49.02,
|
5 |
"global_step": 3750,
|
6 |
"is_hyper_param_search": false,
|
@@ -10,730 +10,730 @@
|
|
10 |
{
|
11 |
"epoch": 0.0,
|
12 |
"learning_rate": 1.3333333333333334e-06,
|
13 |
-
"loss": 2.
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.01,
|
18 |
"learning_rate": 2.666666666666667e-06,
|
19 |
-
"loss": 2.
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.01,
|
24 |
"learning_rate": 4.000000000000001e-06,
|
25 |
-
"loss": 2.
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.01,
|
30 |
"learning_rate": 5.333333333333334e-06,
|
31 |
-
"loss": 2.
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.01,
|
36 |
"learning_rate": 6.666666666666667e-06,
|
37 |
-
"loss": 2.
|
38 |
"step": 50
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.02,
|
42 |
"learning_rate": 8.000000000000001e-06,
|
43 |
-
"loss": 2.
|
44 |
"step": 60
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.02,
|
48 |
"learning_rate": 9.333333333333334e-06,
|
49 |
-
"loss": 2.
|
50 |
"step": 70
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.02,
|
54 |
-
"eval_accuracy": 0.
|
55 |
-
"eval_loss": 2.
|
56 |
-
"eval_runtime": 2.
|
57 |
-
"eval_samples_per_second":
|
58 |
-
"eval_steps_per_second":
|
59 |
"step": 75
|
60 |
},
|
61 |
{
|
62 |
"epoch": 1.0,
|
63 |
"learning_rate": 1.0666666666666667e-05,
|
64 |
-
"loss": 2.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 1.0,
|
69 |
"learning_rate": 1.2e-05,
|
70 |
-
"loss": 2.
|
71 |
"step": 90
|
72 |
},
|
73 |
{
|
74 |
"epoch": 1.01,
|
75 |
"learning_rate": 1.3333333333333333e-05,
|
76 |
-
"loss": 2.
|
77 |
"step": 100
|
78 |
},
|
79 |
{
|
80 |
"epoch": 1.01,
|
81 |
"learning_rate": 1.4666666666666668e-05,
|
82 |
-
"loss": 2.
|
83 |
"step": 110
|
84 |
},
|
85 |
{
|
86 |
"epoch": 1.01,
|
87 |
"learning_rate": 1.6000000000000003e-05,
|
88 |
-
"loss": 2.
|
89 |
"step": 120
|
90 |
},
|
91 |
{
|
92 |
"epoch": 1.01,
|
93 |
"learning_rate": 1.7333333333333336e-05,
|
94 |
-
"loss": 2.
|
95 |
"step": 130
|
96 |
},
|
97 |
{
|
98 |
"epoch": 1.02,
|
99 |
"learning_rate": 1.866666666666667e-05,
|
100 |
-
"loss": 2.
|
101 |
"step": 140
|
102 |
},
|
103 |
{
|
104 |
"epoch": 1.02,
|
105 |
"learning_rate": 2e-05,
|
106 |
-
"loss": 1.
|
107 |
"step": 150
|
108 |
},
|
109 |
{
|
110 |
"epoch": 1.02,
|
111 |
-
"eval_accuracy": 0.
|
112 |
-
"eval_loss": 1.
|
113 |
-
"eval_runtime":
|
114 |
-
"eval_samples_per_second":
|
115 |
-
"eval_steps_per_second": 4.
|
116 |
"step": 150
|
117 |
},
|
118 |
{
|
119 |
"epoch": 2.0,
|
120 |
"learning_rate": 2.1333333333333335e-05,
|
121 |
-
"loss": 1.
|
122 |
"step": 160
|
123 |
},
|
124 |
{
|
125 |
"epoch": 2.01,
|
126 |
"learning_rate": 2.2666666666666668e-05,
|
127 |
-
"loss": 1.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 2.01,
|
132 |
"learning_rate": 2.4e-05,
|
133 |
-
"loss": 1.
|
134 |
"step": 180
|
135 |
},
|
136 |
{
|
137 |
"epoch": 2.01,
|
138 |
"learning_rate": 2.5333333333333337e-05,
|
139 |
-
"loss": 1.
|
140 |
"step": 190
|
141 |
},
|
142 |
{
|
143 |
"epoch": 2.01,
|
144 |
"learning_rate": 2.6666666666666667e-05,
|
145 |
-
"loss": 1.
|
146 |
"step": 200
|
147 |
},
|
148 |
{
|
149 |
"epoch": 2.02,
|
150 |
"learning_rate": 2.8000000000000003e-05,
|
151 |
-
"loss": 0.
|
152 |
"step": 210
|
153 |
},
|
154 |
{
|
155 |
"epoch": 2.02,
|
156 |
"learning_rate": 2.9333333333333336e-05,
|
157 |
-
"loss": 1.
|
158 |
"step": 220
|
159 |
},
|
160 |
{
|
161 |
"epoch": 2.02,
|
162 |
-
"eval_accuracy": 0.
|
163 |
-
"eval_loss":
|
164 |
-
"eval_runtime":
|
165 |
-
"eval_samples_per_second":
|
166 |
-
"eval_steps_per_second": 4.
|
167 |
"step": 225
|
168 |
},
|
169 |
{
|
170 |
"epoch": 3.0,
|
171 |
"learning_rate": 3.066666666666667e-05,
|
172 |
-
"loss": 0.
|
173 |
"step": 230
|
174 |
},
|
175 |
{
|
176 |
"epoch": 3.0,
|
177 |
"learning_rate": 3.2000000000000005e-05,
|
178 |
-
"loss": 0.
|
179 |
"step": 240
|
180 |
},
|
181 |
{
|
182 |
"epoch": 3.01,
|
183 |
"learning_rate": 3.3333333333333335e-05,
|
184 |
-
"loss": 0.
|
185 |
"step": 250
|
186 |
},
|
187 |
{
|
188 |
"epoch": 3.01,
|
189 |
"learning_rate": 3.466666666666667e-05,
|
190 |
-
"loss": 0.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 3.01,
|
195 |
"learning_rate": 3.6e-05,
|
196 |
-
"loss": 0.
|
197 |
"step": 270
|
198 |
},
|
199 |
{
|
200 |
"epoch": 3.01,
|
201 |
"learning_rate": 3.733333333333334e-05,
|
202 |
-
"loss": 0.
|
203 |
"step": 280
|
204 |
},
|
205 |
{
|
206 |
"epoch": 3.02,
|
207 |
"learning_rate": 3.866666666666667e-05,
|
208 |
-
"loss": 0.
|
209 |
"step": 290
|
210 |
},
|
211 |
{
|
212 |
"epoch": 3.02,
|
213 |
"learning_rate": 4e-05,
|
214 |
-
"loss": 0.
|
215 |
"step": 300
|
216 |
},
|
217 |
{
|
218 |
"epoch": 3.02,
|
219 |
-
"eval_accuracy": 0.
|
220 |
-
"eval_loss": 0.
|
221 |
-
"eval_runtime":
|
222 |
-
"eval_samples_per_second": 15.
|
223 |
-
"eval_steps_per_second": 4.
|
224 |
"step": 300
|
225 |
},
|
226 |
{
|
227 |
"epoch": 4.0,
|
228 |
"learning_rate": 4.133333333333333e-05,
|
229 |
-
"loss": 0.
|
230 |
"step": 310
|
231 |
},
|
232 |
{
|
233 |
"epoch": 4.01,
|
234 |
"learning_rate": 4.266666666666667e-05,
|
235 |
-
"loss": 0.
|
236 |
"step": 320
|
237 |
},
|
238 |
{
|
239 |
"epoch": 4.01,
|
240 |
"learning_rate": 4.4000000000000006e-05,
|
241 |
-
"loss": 0.
|
242 |
"step": 330
|
243 |
},
|
244 |
{
|
245 |
"epoch": 4.01,
|
246 |
"learning_rate": 4.5333333333333335e-05,
|
247 |
-
"loss": 0.
|
248 |
"step": 340
|
249 |
},
|
250 |
{
|
251 |
"epoch": 4.01,
|
252 |
"learning_rate": 4.666666666666667e-05,
|
253 |
-
"loss": 0.
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 4.02,
|
258 |
"learning_rate": 4.8e-05,
|
259 |
-
"loss": 0.
|
260 |
"step": 360
|
261 |
},
|
262 |
{
|
263 |
"epoch": 4.02,
|
264 |
"learning_rate": 4.933333333333334e-05,
|
265 |
-
"loss": 0.
|
266 |
"step": 370
|
267 |
},
|
268 |
{
|
269 |
"epoch": 4.02,
|
270 |
-
"eval_accuracy": 0.
|
271 |
-
"eval_loss": 0.
|
272 |
-
"eval_runtime":
|
273 |
-
"eval_samples_per_second": 15.
|
274 |
-
"eval_steps_per_second": 4.
|
275 |
"step": 375
|
276 |
},
|
277 |
{
|
278 |
"epoch": 5.0,
|
279 |
"learning_rate": 4.9925925925925926e-05,
|
280 |
-
"loss": 0.
|
281 |
"step": 380
|
282 |
},
|
283 |
{
|
284 |
"epoch": 5.0,
|
285 |
"learning_rate": 4.977777777777778e-05,
|
286 |
-
"loss": 0.
|
287 |
"step": 390
|
288 |
},
|
289 |
{
|
290 |
"epoch": 5.01,
|
291 |
"learning_rate": 4.962962962962963e-05,
|
292 |
-
"loss": 0.
|
293 |
"step": 400
|
294 |
},
|
295 |
{
|
296 |
"epoch": 5.01,
|
297 |
"learning_rate": 4.9481481481481485e-05,
|
298 |
-
"loss": 0.
|
299 |
"step": 410
|
300 |
},
|
301 |
{
|
302 |
"epoch": 5.01,
|
303 |
"learning_rate": 4.933333333333334e-05,
|
304 |
-
"loss": 0.
|
305 |
"step": 420
|
306 |
},
|
307 |
{
|
308 |
"epoch": 5.01,
|
309 |
"learning_rate": 4.918518518518519e-05,
|
310 |
-
"loss": 0.
|
311 |
"step": 430
|
312 |
},
|
313 |
{
|
314 |
"epoch": 5.02,
|
315 |
"learning_rate": 4.903703703703704e-05,
|
316 |
-
"loss": 0.
|
317 |
"step": 440
|
318 |
},
|
319 |
{
|
320 |
"epoch": 5.02,
|
321 |
"learning_rate": 4.888888888888889e-05,
|
322 |
-
"loss": 0.
|
323 |
"step": 450
|
324 |
},
|
325 |
{
|
326 |
"epoch": 5.02,
|
327 |
-
"eval_accuracy": 0.
|
328 |
-
"eval_loss": 0.
|
329 |
-
"eval_runtime":
|
330 |
-
"eval_samples_per_second": 15.
|
331 |
-
"eval_steps_per_second": 4.
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 6.0,
|
336 |
"learning_rate": 4.874074074074074e-05,
|
337 |
-
"loss": 0.
|
338 |
"step": 460
|
339 |
},
|
340 |
{
|
341 |
"epoch": 6.01,
|
342 |
"learning_rate": 4.8592592592592596e-05,
|
343 |
-
"loss": 0.
|
344 |
"step": 470
|
345 |
},
|
346 |
{
|
347 |
"epoch": 6.01,
|
348 |
"learning_rate": 4.844444444444445e-05,
|
349 |
-
"loss": 0.
|
350 |
"step": 480
|
351 |
},
|
352 |
{
|
353 |
"epoch": 6.01,
|
354 |
"learning_rate": 4.82962962962963e-05,
|
355 |
-
"loss": 0.
|
356 |
"step": 490
|
357 |
},
|
358 |
{
|
359 |
"epoch": 6.01,
|
360 |
"learning_rate": 4.814814814814815e-05,
|
361 |
-
"loss": 0.
|
362 |
"step": 500
|
363 |
},
|
364 |
{
|
365 |
"epoch": 6.02,
|
366 |
"learning_rate": 4.8e-05,
|
367 |
-
"loss": 0.
|
368 |
"step": 510
|
369 |
},
|
370 |
{
|
371 |
"epoch": 6.02,
|
372 |
"learning_rate": 4.7851851851851854e-05,
|
373 |
-
"loss": 0.
|
374 |
"step": 520
|
375 |
},
|
376 |
{
|
377 |
"epoch": 6.02,
|
378 |
-
"eval_accuracy": 0.
|
379 |
-
"eval_loss": 0.
|
380 |
-
"eval_runtime":
|
381 |
-
"eval_samples_per_second":
|
382 |
-
"eval_steps_per_second": 4.
|
383 |
"step": 525
|
384 |
},
|
385 |
{
|
386 |
"epoch": 7.0,
|
387 |
"learning_rate": 4.770370370370371e-05,
|
388 |
-
"loss": 0.
|
389 |
"step": 530
|
390 |
},
|
391 |
{
|
392 |
"epoch": 7.0,
|
393 |
"learning_rate": 4.755555555555556e-05,
|
394 |
-
"loss": 0.
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 7.01,
|
399 |
"learning_rate": 4.740740740740741e-05,
|
400 |
-
"loss": 0.
|
401 |
"step": 550
|
402 |
},
|
403 |
{
|
404 |
"epoch": 7.01,
|
405 |
"learning_rate": 4.7259259259259266e-05,
|
406 |
-
"loss": 0.
|
407 |
"step": 560
|
408 |
},
|
409 |
{
|
410 |
"epoch": 7.01,
|
411 |
"learning_rate": 4.711111111111111e-05,
|
412 |
-
"loss": 0.
|
413 |
"step": 570
|
414 |
},
|
415 |
{
|
416 |
"epoch": 7.01,
|
417 |
"learning_rate": 4.6962962962962966e-05,
|
418 |
-
"loss": 0.
|
419 |
"step": 580
|
420 |
},
|
421 |
{
|
422 |
"epoch": 7.02,
|
423 |
"learning_rate": 4.681481481481482e-05,
|
424 |
-
"loss": 0.
|
425 |
"step": 590
|
426 |
},
|
427 |
{
|
428 |
"epoch": 7.02,
|
429 |
"learning_rate": 4.666666666666667e-05,
|
430 |
-
"loss": 0.
|
431 |
"step": 600
|
432 |
},
|
433 |
{
|
434 |
"epoch": 7.02,
|
435 |
-
"eval_accuracy": 0.
|
436 |
-
"eval_loss": 0.
|
437 |
-
"eval_runtime": 2.
|
438 |
-
"eval_samples_per_second": 15.
|
439 |
-
"eval_steps_per_second":
|
440 |
"step": 600
|
441 |
},
|
442 |
{
|
443 |
"epoch": 8.0,
|
444 |
"learning_rate": 4.6518518518518525e-05,
|
445 |
-
"loss": 0.
|
446 |
"step": 610
|
447 |
},
|
448 |
{
|
449 |
"epoch": 8.01,
|
450 |
"learning_rate": 4.637037037037038e-05,
|
451 |
-
"loss": 0.
|
452 |
"step": 620
|
453 |
},
|
454 |
{
|
455 |
"epoch": 8.01,
|
456 |
"learning_rate": 4.6222222222222224e-05,
|
457 |
-
"loss": 0.
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 8.01,
|
462 |
"learning_rate": 4.607407407407408e-05,
|
463 |
-
"loss": 0.
|
464 |
"step": 640
|
465 |
},
|
466 |
{
|
467 |
"epoch": 8.01,
|
468 |
"learning_rate": 4.592592592592593e-05,
|
469 |
-
"loss": 0.
|
470 |
"step": 650
|
471 |
},
|
472 |
{
|
473 |
"epoch": 8.02,
|
474 |
"learning_rate": 4.577777777777778e-05,
|
475 |
-
"loss": 0.
|
476 |
"step": 660
|
477 |
},
|
478 |
{
|
479 |
"epoch": 8.02,
|
480 |
"learning_rate": 4.5629629629629636e-05,
|
481 |
-
"loss": 0.
|
482 |
"step": 670
|
483 |
},
|
484 |
{
|
485 |
"epoch": 8.02,
|
486 |
-
"eval_accuracy": 0.
|
487 |
-
"eval_loss": 0.
|
488 |
-
"eval_runtime": 2.
|
489 |
-
"eval_samples_per_second":
|
490 |
-
"eval_steps_per_second":
|
491 |
"step": 675
|
492 |
},
|
493 |
{
|
494 |
"epoch": 9.0,
|
495 |
"learning_rate": 4.548148148148149e-05,
|
496 |
-
"loss": 0.
|
497 |
"step": 680
|
498 |
},
|
499 |
{
|
500 |
"epoch": 9.0,
|
501 |
"learning_rate": 4.5333333333333335e-05,
|
502 |
-
"loss": 0.
|
503 |
"step": 690
|
504 |
},
|
505 |
{
|
506 |
"epoch": 9.01,
|
507 |
"learning_rate": 4.518518518518519e-05,
|
508 |
-
"loss": 0.
|
509 |
"step": 700
|
510 |
},
|
511 |
{
|
512 |
"epoch": 9.01,
|
513 |
"learning_rate": 4.503703703703704e-05,
|
514 |
-
"loss": 0.
|
515 |
"step": 710
|
516 |
},
|
517 |
{
|
518 |
"epoch": 9.01,
|
519 |
"learning_rate": 4.4888888888888894e-05,
|
520 |
-
"loss": 0.
|
521 |
"step": 720
|
522 |
},
|
523 |
{
|
524 |
"epoch": 9.01,
|
525 |
"learning_rate": 4.474074074074075e-05,
|
526 |
-
"loss": 0.
|
527 |
"step": 730
|
528 |
},
|
529 |
{
|
530 |
"epoch": 9.02,
|
531 |
"learning_rate": 4.4592592592592594e-05,
|
532 |
-
"loss": 0.
|
533 |
"step": 740
|
534 |
},
|
535 |
{
|
536 |
"epoch": 9.02,
|
537 |
"learning_rate": 4.4444444444444447e-05,
|
538 |
-
"loss": 0.
|
539 |
"step": 750
|
540 |
},
|
541 |
{
|
542 |
"epoch": 9.02,
|
543 |
-
"eval_accuracy": 0.
|
544 |
-
"eval_loss": 0.
|
545 |
-
"eval_runtime": 2.
|
546 |
-
"eval_samples_per_second":
|
547 |
-
"eval_steps_per_second":
|
548 |
"step": 750
|
549 |
},
|
550 |
{
|
551 |
"epoch": 10.0,
|
552 |
"learning_rate": 4.42962962962963e-05,
|
553 |
-
"loss": 0.
|
554 |
"step": 760
|
555 |
},
|
556 |
{
|
557 |
"epoch": 10.01,
|
558 |
"learning_rate": 4.414814814814815e-05,
|
559 |
-
"loss": 0.
|
560 |
"step": 770
|
561 |
},
|
562 |
{
|
563 |
"epoch": 10.01,
|
564 |
"learning_rate": 4.4000000000000006e-05,
|
565 |
-
"loss": 0.
|
566 |
"step": 780
|
567 |
},
|
568 |
{
|
569 |
"epoch": 10.01,
|
570 |
"learning_rate": 4.385185185185185e-05,
|
571 |
-
"loss": 0.
|
572 |
"step": 790
|
573 |
},
|
574 |
{
|
575 |
"epoch": 10.01,
|
576 |
"learning_rate": 4.3703703703703705e-05,
|
577 |
-
"loss": 0.
|
578 |
"step": 800
|
579 |
},
|
580 |
{
|
581 |
"epoch": 10.02,
|
582 |
"learning_rate": 4.355555555555556e-05,
|
583 |
-
"loss": 0.
|
584 |
"step": 810
|
585 |
},
|
586 |
{
|
587 |
"epoch": 10.02,
|
588 |
"learning_rate": 4.340740740740741e-05,
|
589 |
-
"loss": 0.
|
590 |
"step": 820
|
591 |
},
|
592 |
{
|
593 |
"epoch": 10.02,
|
594 |
-
"eval_accuracy":
|
595 |
-
"eval_loss": 0.
|
596 |
-
"eval_runtime": 2.
|
597 |
-
"eval_samples_per_second":
|
598 |
-
"eval_steps_per_second":
|
599 |
"step": 825
|
600 |
},
|
601 |
{
|
602 |
"epoch": 11.0,
|
603 |
"learning_rate": 4.325925925925926e-05,
|
604 |
-
"loss": 0.
|
605 |
"step": 830
|
606 |
},
|
607 |
{
|
608 |
"epoch": 11.0,
|
609 |
"learning_rate": 4.311111111111111e-05,
|
610 |
-
"loss": 0.
|
611 |
"step": 840
|
612 |
},
|
613 |
{
|
614 |
"epoch": 11.01,
|
615 |
"learning_rate": 4.296296296296296e-05,
|
616 |
-
"loss": 0.
|
617 |
"step": 850
|
618 |
},
|
619 |
{
|
620 |
"epoch": 11.01,
|
621 |
"learning_rate": 4.2814814814814816e-05,
|
622 |
-
"loss": 0.
|
623 |
"step": 860
|
624 |
},
|
625 |
{
|
626 |
"epoch": 11.01,
|
627 |
"learning_rate": 4.266666666666667e-05,
|
628 |
-
"loss": 0.
|
629 |
"step": 870
|
630 |
},
|
631 |
{
|
632 |
"epoch": 11.01,
|
633 |
"learning_rate": 4.2518518518518515e-05,
|
634 |
-
"loss": 0.
|
635 |
"step": 880
|
636 |
},
|
637 |
{
|
638 |
"epoch": 11.02,
|
639 |
"learning_rate": 4.237037037037037e-05,
|
640 |
-
"loss": 0.
|
641 |
"step": 890
|
642 |
},
|
643 |
{
|
644 |
"epoch": 11.02,
|
645 |
"learning_rate": 4.222222222222222e-05,
|
646 |
-
"loss": 0.
|
647 |
"step": 900
|
648 |
},
|
649 |
{
|
650 |
"epoch": 11.02,
|
651 |
-
"eval_accuracy": 0.
|
652 |
-
"eval_loss": 0.
|
653 |
-
"eval_runtime": 2.
|
654 |
-
"eval_samples_per_second":
|
655 |
-
"eval_steps_per_second":
|
656 |
"step": 900
|
657 |
},
|
658 |
{
|
659 |
"epoch": 12.0,
|
660 |
"learning_rate": 4.2074074074074075e-05,
|
661 |
-
"loss": 0.
|
662 |
"step": 910
|
663 |
},
|
664 |
{
|
665 |
"epoch": 12.01,
|
666 |
"learning_rate": 4.192592592592593e-05,
|
667 |
-
"loss": 0.
|
668 |
"step": 920
|
669 |
},
|
670 |
{
|
671 |
"epoch": 12.01,
|
672 |
"learning_rate": 4.177777777777778e-05,
|
673 |
-
"loss": 0.
|
674 |
"step": 930
|
675 |
},
|
676 |
{
|
677 |
"epoch": 12.01,
|
678 |
"learning_rate": 4.162962962962963e-05,
|
679 |
-
"loss": 0.
|
680 |
"step": 940
|
681 |
},
|
682 |
{
|
683 |
"epoch": 12.01,
|
684 |
"learning_rate": 4.148148148148148e-05,
|
685 |
-
"loss": 0.
|
686 |
"step": 950
|
687 |
},
|
688 |
{
|
689 |
"epoch": 12.02,
|
690 |
"learning_rate": 4.133333333333333e-05,
|
691 |
-
"loss": 0.
|
692 |
"step": 960
|
693 |
},
|
694 |
{
|
695 |
"epoch": 12.02,
|
696 |
"learning_rate": 4.1185185185185186e-05,
|
697 |
-
"loss": 0.
|
698 |
"step": 970
|
699 |
},
|
700 |
{
|
701 |
"epoch": 12.02,
|
702 |
-
"eval_accuracy":
|
703 |
-
"eval_loss": 0.
|
704 |
-
"eval_runtime": 2.
|
705 |
-
"eval_samples_per_second":
|
706 |
-
"eval_steps_per_second":
|
707 |
"step": 975
|
708 |
},
|
709 |
{
|
710 |
"epoch": 13.0,
|
711 |
"learning_rate": 4.103703703703704e-05,
|
712 |
-
"loss": 0.
|
713 |
"step": 980
|
714 |
},
|
715 |
{
|
716 |
"epoch": 13.0,
|
717 |
"learning_rate": 4.088888888888889e-05,
|
718 |
-
"loss": 0.
|
719 |
"step": 990
|
720 |
},
|
721 |
{
|
722 |
"epoch": 13.01,
|
723 |
"learning_rate": 4.074074074074074e-05,
|
724 |
-
"loss": 0.
|
725 |
"step": 1000
|
726 |
},
|
727 |
{
|
728 |
"epoch": 13.01,
|
729 |
"learning_rate": 4.059259259259259e-05,
|
730 |
-
"loss": 0.
|
731 |
"step": 1010
|
732 |
},
|
733 |
{
|
734 |
"epoch": 13.01,
|
735 |
"learning_rate": 4.0444444444444444e-05,
|
736 |
-
"loss": 0.
|
737 |
"step": 1020
|
738 |
},
|
739 |
{
|
@@ -745,22 +745,22 @@
|
|
745 |
{
|
746 |
"epoch": 13.02,
|
747 |
"learning_rate": 4.014814814814815e-05,
|
748 |
-
"loss": 0.
|
749 |
"step": 1040
|
750 |
},
|
751 |
{
|
752 |
"epoch": 13.02,
|
753 |
"learning_rate": 4e-05,
|
754 |
-
"loss": 0.
|
755 |
"step": 1050
|
756 |
},
|
757 |
{
|
758 |
"epoch": 13.02,
|
759 |
-
"eval_accuracy": 0.
|
760 |
-
"eval_loss": 0.
|
761 |
-
"eval_runtime": 2.
|
762 |
-
"eval_samples_per_second":
|
763 |
-
"eval_steps_per_second":
|
764 |
"step": 1050
|
765 |
},
|
766 |
{
|
@@ -772,25 +772,25 @@
|
|
772 |
{
|
773 |
"epoch": 14.01,
|
774 |
"learning_rate": 3.97037037037037e-05,
|
775 |
-
"loss": 0.
|
776 |
"step": 1070
|
777 |
},
|
778 |
{
|
779 |
"epoch": 14.01,
|
780 |
"learning_rate": 3.9555555555555556e-05,
|
781 |
-
"loss": 0.
|
782 |
"step": 1080
|
783 |
},
|
784 |
{
|
785 |
"epoch": 14.01,
|
786 |
"learning_rate": 3.940740740740741e-05,
|
787 |
-
"loss": 0.
|
788 |
"step": 1090
|
789 |
},
|
790 |
{
|
791 |
"epoch": 14.01,
|
792 |
"learning_rate": 3.925925925925926e-05,
|
793 |
-
"loss": 0.
|
794 |
"step": 1100
|
795 |
},
|
796 |
{
|
@@ -802,40 +802,40 @@
|
|
802 |
{
|
803 |
"epoch": 14.02,
|
804 |
"learning_rate": 3.896296296296296e-05,
|
805 |
-
"loss": 0.
|
806 |
"step": 1120
|
807 |
},
|
808 |
{
|
809 |
"epoch": 14.02,
|
810 |
-
"eval_accuracy": 0.
|
811 |
-
"eval_loss": 0.
|
812 |
-
"eval_runtime":
|
813 |
-
"eval_samples_per_second":
|
814 |
-
"eval_steps_per_second": 4.
|
815 |
"step": 1125
|
816 |
},
|
817 |
{
|
818 |
"epoch": 15.0,
|
819 |
"learning_rate": 3.8814814814814814e-05,
|
820 |
-
"loss": 0.
|
821 |
"step": 1130
|
822 |
},
|
823 |
{
|
824 |
"epoch": 15.0,
|
825 |
"learning_rate": 3.866666666666667e-05,
|
826 |
-
"loss": 0.
|
827 |
"step": 1140
|
828 |
},
|
829 |
{
|
830 |
"epoch": 15.01,
|
831 |
"learning_rate": 3.851851851851852e-05,
|
832 |
-
"loss": 0.
|
833 |
"step": 1150
|
834 |
},
|
835 |
{
|
836 |
"epoch": 15.01,
|
837 |
"learning_rate": 3.837037037037037e-05,
|
838 |
-
"loss": 0.
|
839 |
"step": 1160
|
840 |
},
|
841 |
{
|
@@ -847,97 +847,97 @@
|
|
847 |
{
|
848 |
"epoch": 15.01,
|
849 |
"learning_rate": 3.807407407407408e-05,
|
850 |
-
"loss": 0.
|
851 |
"step": 1180
|
852 |
},
|
853 |
{
|
854 |
"epoch": 15.02,
|
855 |
"learning_rate": 3.7925925925925925e-05,
|
856 |
-
"loss": 0.
|
857 |
"step": 1190
|
858 |
},
|
859 |
{
|
860 |
"epoch": 15.02,
|
861 |
"learning_rate": 3.777777777777778e-05,
|
862 |
-
"loss": 0.
|
863 |
"step": 1200
|
864 |
},
|
865 |
{
|
866 |
"epoch": 15.02,
|
867 |
-
"eval_accuracy":
|
868 |
-
"eval_loss": 0.
|
869 |
-
"eval_runtime": 2.
|
870 |
-
"eval_samples_per_second":
|
871 |
-
"eval_steps_per_second":
|
872 |
"step": 1200
|
873 |
},
|
874 |
{
|
875 |
"epoch": 16.0,
|
876 |
"learning_rate": 3.762962962962963e-05,
|
877 |
-
"loss": 0.
|
878 |
"step": 1210
|
879 |
},
|
880 |
{
|
881 |
"epoch": 16.01,
|
882 |
"learning_rate": 3.7481481481481484e-05,
|
883 |
-
"loss": 0.
|
884 |
"step": 1220
|
885 |
},
|
886 |
{
|
887 |
"epoch": 16.01,
|
888 |
"learning_rate": 3.733333333333334e-05,
|
889 |
-
"loss": 0.
|
890 |
"step": 1230
|
891 |
},
|
892 |
{
|
893 |
"epoch": 16.01,
|
894 |
"learning_rate": 3.718518518518519e-05,
|
895 |
-
"loss": 0.
|
896 |
"step": 1240
|
897 |
},
|
898 |
{
|
899 |
"epoch": 16.01,
|
900 |
"learning_rate": 3.7037037037037037e-05,
|
901 |
-
"loss": 0.
|
902 |
"step": 1250
|
903 |
},
|
904 |
{
|
905 |
"epoch": 16.02,
|
906 |
"learning_rate": 3.688888888888889e-05,
|
907 |
-
"loss": 0.
|
908 |
"step": 1260
|
909 |
},
|
910 |
{
|
911 |
"epoch": 16.02,
|
912 |
"learning_rate": 3.674074074074074e-05,
|
913 |
-
"loss": 0.
|
914 |
"step": 1270
|
915 |
},
|
916 |
{
|
917 |
"epoch": 16.02,
|
918 |
"eval_accuracy": 1.0,
|
919 |
-
"eval_loss": 0.
|
920 |
-
"eval_runtime": 2.
|
921 |
-
"eval_samples_per_second":
|
922 |
-
"eval_steps_per_second":
|
923 |
"step": 1275
|
924 |
},
|
925 |
{
|
926 |
"epoch": 17.0,
|
927 |
"learning_rate": 3.6592592592592596e-05,
|
928 |
-
"loss": 0.
|
929 |
"step": 1280
|
930 |
},
|
931 |
{
|
932 |
"epoch": 17.0,
|
933 |
"learning_rate": 3.644444444444445e-05,
|
934 |
-
"loss": 0.
|
935 |
"step": 1290
|
936 |
},
|
937 |
{
|
938 |
"epoch": 17.01,
|
939 |
"learning_rate": 3.62962962962963e-05,
|
940 |
-
"loss": 0.
|
941 |
"step": 1300
|
942 |
},
|
943 |
{
|
@@ -949,223 +949,223 @@
|
|
949 |
{
|
950 |
"epoch": 17.01,
|
951 |
"learning_rate": 3.6e-05,
|
952 |
-
"loss": 0.
|
953 |
"step": 1320
|
954 |
},
|
955 |
{
|
956 |
"epoch": 17.01,
|
957 |
"learning_rate": 3.5851851851851854e-05,
|
958 |
-
"loss": 0.
|
959 |
"step": 1330
|
960 |
},
|
961 |
{
|
962 |
"epoch": 17.02,
|
963 |
"learning_rate": 3.570370370370371e-05,
|
964 |
-
"loss": 0.
|
965 |
"step": 1340
|
966 |
},
|
967 |
{
|
968 |
"epoch": 17.02,
|
969 |
"learning_rate": 3.555555555555556e-05,
|
970 |
-
"loss": 0.
|
971 |
"step": 1350
|
972 |
},
|
973 |
{
|
974 |
"epoch": 17.02,
|
975 |
-
"eval_accuracy": 0.
|
976 |
-
"eval_loss": 0.
|
977 |
-
"eval_runtime": 2.
|
978 |
-
"eval_samples_per_second":
|
979 |
-
"eval_steps_per_second":
|
980 |
"step": 1350
|
981 |
},
|
982 |
{
|
983 |
"epoch": 18.0,
|
984 |
"learning_rate": 3.540740740740741e-05,
|
985 |
-
"loss": 0.
|
986 |
"step": 1360
|
987 |
},
|
988 |
{
|
989 |
"epoch": 18.01,
|
990 |
"learning_rate": 3.525925925925926e-05,
|
991 |
-
"loss": 0.
|
992 |
"step": 1370
|
993 |
},
|
994 |
{
|
995 |
"epoch": 18.01,
|
996 |
"learning_rate": 3.511111111111111e-05,
|
997 |
-
"loss": 0.
|
998 |
"step": 1380
|
999 |
},
|
1000 |
{
|
1001 |
"epoch": 18.01,
|
1002 |
"learning_rate": 3.4962962962962965e-05,
|
1003 |
-
"loss": 0.
|
1004 |
"step": 1390
|
1005 |
},
|
1006 |
{
|
1007 |
"epoch": 18.01,
|
1008 |
"learning_rate": 3.481481481481482e-05,
|
1009 |
-
"loss": 0.
|
1010 |
"step": 1400
|
1011 |
},
|
1012 |
{
|
1013 |
"epoch": 18.02,
|
1014 |
"learning_rate": 3.466666666666667e-05,
|
1015 |
-
"loss": 0.
|
1016 |
"step": 1410
|
1017 |
},
|
1018 |
{
|
1019 |
"epoch": 18.02,
|
1020 |
"learning_rate": 3.4518518518518524e-05,
|
1021 |
-
"loss": 0.
|
1022 |
"step": 1420
|
1023 |
},
|
1024 |
{
|
1025 |
"epoch": 18.02,
|
1026 |
-
"eval_accuracy": 0
|
1027 |
-
"eval_loss": 0.
|
1028 |
-
"eval_runtime": 2.
|
1029 |
-
"eval_samples_per_second":
|
1030 |
-
"eval_steps_per_second":
|
1031 |
"step": 1425
|
1032 |
},
|
1033 |
{
|
1034 |
"epoch": 19.0,
|
1035 |
"learning_rate": 3.437037037037037e-05,
|
1036 |
-
"loss": 0.
|
1037 |
"step": 1430
|
1038 |
},
|
1039 |
{
|
1040 |
"epoch": 19.0,
|
1041 |
"learning_rate": 3.4222222222222224e-05,
|
1042 |
-
"loss": 0.
|
1043 |
"step": 1440
|
1044 |
},
|
1045 |
{
|
1046 |
"epoch": 19.01,
|
1047 |
"learning_rate": 3.4074074074074077e-05,
|
1048 |
-
"loss": 0.
|
1049 |
"step": 1450
|
1050 |
},
|
1051 |
{
|
1052 |
"epoch": 19.01,
|
1053 |
"learning_rate": 3.392592592592593e-05,
|
1054 |
-
"loss": 0.
|
1055 |
"step": 1460
|
1056 |
},
|
1057 |
{
|
1058 |
"epoch": 19.01,
|
1059 |
"learning_rate": 3.377777777777778e-05,
|
1060 |
-
"loss": 0.
|
1061 |
"step": 1470
|
1062 |
},
|
1063 |
{
|
1064 |
"epoch": 19.01,
|
1065 |
"learning_rate": 3.3629629629629636e-05,
|
1066 |
-
"loss": 0.
|
1067 |
"step": 1480
|
1068 |
},
|
1069 |
{
|
1070 |
"epoch": 19.02,
|
1071 |
"learning_rate": 3.348148148148148e-05,
|
1072 |
-
"loss": 0.
|
1073 |
"step": 1490
|
1074 |
},
|
1075 |
{
|
1076 |
"epoch": 19.02,
|
1077 |
"learning_rate": 3.3333333333333335e-05,
|
1078 |
-
"loss": 0.
|
1079 |
"step": 1500
|
1080 |
},
|
1081 |
{
|
1082 |
"epoch": 19.02,
|
1083 |
-
"eval_accuracy": 0.
|
1084 |
-
"eval_loss": 0.
|
1085 |
-
"eval_runtime": 2.
|
1086 |
-
"eval_samples_per_second":
|
1087 |
-
"eval_steps_per_second":
|
1088 |
"step": 1500
|
1089 |
},
|
1090 |
{
|
1091 |
"epoch": 20.0,
|
1092 |
"learning_rate": 3.318518518518519e-05,
|
1093 |
-
"loss": 0.
|
1094 |
"step": 1510
|
1095 |
},
|
1096 |
{
|
1097 |
"epoch": 20.01,
|
1098 |
"learning_rate": 3.303703703703704e-05,
|
1099 |
-
"loss": 0.
|
1100 |
"step": 1520
|
1101 |
},
|
1102 |
{
|
1103 |
"epoch": 20.01,
|
1104 |
"learning_rate": 3.2888888888888894e-05,
|
1105 |
-
"loss": 0.
|
1106 |
"step": 1530
|
1107 |
},
|
1108 |
{
|
1109 |
"epoch": 20.01,
|
1110 |
"learning_rate": 3.274074074074075e-05,
|
1111 |
-
"loss": 0.
|
1112 |
"step": 1540
|
1113 |
},
|
1114 |
{
|
1115 |
"epoch": 20.01,
|
1116 |
"learning_rate": 3.25925925925926e-05,
|
1117 |
-
"loss": 0.
|
1118 |
"step": 1550
|
1119 |
},
|
1120 |
{
|
1121 |
"epoch": 20.02,
|
1122 |
"learning_rate": 3.2444444444444446e-05,
|
1123 |
-
"loss": 0.
|
1124 |
"step": 1560
|
1125 |
},
|
1126 |
{
|
1127 |
"epoch": 20.02,
|
1128 |
"learning_rate": 3.22962962962963e-05,
|
1129 |
-
"loss": 0.
|
1130 |
"step": 1570
|
1131 |
},
|
1132 |
{
|
1133 |
"epoch": 20.02,
|
1134 |
-
"eval_accuracy": 0.
|
1135 |
-
"eval_loss": 0.
|
1136 |
-
"eval_runtime": 2.
|
1137 |
-
"eval_samples_per_second":
|
1138 |
-
"eval_steps_per_second":
|
1139 |
"step": 1575
|
1140 |
},
|
1141 |
{
|
1142 |
"epoch": 21.0,
|
1143 |
"learning_rate": 3.214814814814815e-05,
|
1144 |
-
"loss": 0.
|
1145 |
"step": 1580
|
1146 |
},
|
1147 |
{
|
1148 |
"epoch": 21.0,
|
1149 |
"learning_rate": 3.2000000000000005e-05,
|
1150 |
-
"loss": 0.
|
1151 |
"step": 1590
|
1152 |
},
|
1153 |
{
|
1154 |
"epoch": 21.01,
|
1155 |
"learning_rate": 3.185185185185185e-05,
|
1156 |
-
"loss": 0.
|
1157 |
"step": 1600
|
1158 |
},
|
1159 |
{
|
1160 |
"epoch": 21.01,
|
1161 |
"learning_rate": 3.1703703703703705e-05,
|
1162 |
-
"loss": 0.
|
1163 |
"step": 1610
|
1164 |
},
|
1165 |
{
|
1166 |
"epoch": 21.01,
|
1167 |
"learning_rate": 3.155555555555556e-05,
|
1168 |
-
"loss": 0.
|
1169 |
"step": 1620
|
1170 |
},
|
1171 |
{
|
@@ -1177,34 +1177,34 @@
|
|
1177 |
{
|
1178 |
"epoch": 21.02,
|
1179 |
"learning_rate": 3.1259259259259264e-05,
|
1180 |
-
"loss": 0.
|
1181 |
"step": 1640
|
1182 |
},
|
1183 |
{
|
1184 |
"epoch": 21.02,
|
1185 |
"learning_rate": 3.111111111111111e-05,
|
1186 |
-
"loss": 0.
|
1187 |
"step": 1650
|
1188 |
},
|
1189 |
{
|
1190 |
"epoch": 21.02,
|
1191 |
-
"eval_accuracy": 0.
|
1192 |
-
"eval_loss": 0.
|
1193 |
-
"eval_runtime": 2.
|
1194 |
-
"eval_samples_per_second":
|
1195 |
-
"eval_steps_per_second":
|
1196 |
"step": 1650
|
1197 |
},
|
1198 |
{
|
1199 |
"epoch": 22.0,
|
1200 |
"learning_rate": 3.096296296296296e-05,
|
1201 |
-
"loss": 0.
|
1202 |
"step": 1660
|
1203 |
},
|
1204 |
{
|
1205 |
"epoch": 22.01,
|
1206 |
"learning_rate": 3.0814814814814816e-05,
|
1207 |
-
"loss": 0.
|
1208 |
"step": 1670
|
1209 |
},
|
1210 |
{
|
@@ -1216,7 +1216,7 @@
|
|
1216 |
{
|
1217 |
"epoch": 22.01,
|
1218 |
"learning_rate": 3.0518518518518515e-05,
|
1219 |
-
"loss": 0.
|
1220 |
"step": 1690
|
1221 |
},
|
1222 |
{
|
@@ -1234,28 +1234,28 @@
|
|
1234 |
{
|
1235 |
"epoch": 22.02,
|
1236 |
"learning_rate": 3.0074074074074078e-05,
|
1237 |
-
"loss": 0.
|
1238 |
"step": 1720
|
1239 |
},
|
1240 |
{
|
1241 |
"epoch": 22.02,
|
1242 |
-
"eval_accuracy": 0.
|
1243 |
-
"eval_loss": 0.
|
1244 |
-
"eval_runtime": 2.
|
1245 |
-
"eval_samples_per_second":
|
1246 |
-
"eval_steps_per_second":
|
1247 |
"step": 1725
|
1248 |
},
|
1249 |
{
|
1250 |
"epoch": 23.0,
|
1251 |
"learning_rate": 2.992592592592593e-05,
|
1252 |
-
"loss": 0.
|
1253 |
"step": 1730
|
1254 |
},
|
1255 |
{
|
1256 |
"epoch": 23.0,
|
1257 |
"learning_rate": 2.9777777777777777e-05,
|
1258 |
-
"loss": 0.
|
1259 |
"step": 1740
|
1260 |
},
|
1261 |
{
|
@@ -1267,7 +1267,7 @@
|
|
1267 |
{
|
1268 |
"epoch": 23.01,
|
1269 |
"learning_rate": 2.9481481481481483e-05,
|
1270 |
-
"loss": 0.
|
1271 |
"step": 1760
|
1272 |
},
|
1273 |
{
|
@@ -1285,7 +1285,7 @@
|
|
1285 |
{
|
1286 |
"epoch": 23.02,
|
1287 |
"learning_rate": 2.9037037037037042e-05,
|
1288 |
-
"loss": 0.
|
1289 |
"step": 1790
|
1290 |
},
|
1291 |
{
|
@@ -1296,23 +1296,23 @@
|
|
1296 |
},
|
1297 |
{
|
1298 |
"epoch": 23.02,
|
1299 |
-
"eval_accuracy": 0.
|
1300 |
-
"eval_loss": 0.
|
1301 |
-
"eval_runtime": 2.
|
1302 |
-
"eval_samples_per_second": 15.
|
1303 |
-
"eval_steps_per_second":
|
1304 |
"step": 1800
|
1305 |
},
|
1306 |
{
|
1307 |
"epoch": 24.0,
|
1308 |
"learning_rate": 2.874074074074074e-05,
|
1309 |
-
"loss": 0.
|
1310 |
"step": 1810
|
1311 |
},
|
1312 |
{
|
1313 |
"epoch": 24.01,
|
1314 |
"learning_rate": 2.8592592592592594e-05,
|
1315 |
-
"loss": 0.
|
1316 |
"step": 1820
|
1317 |
},
|
1318 |
{
|
@@ -1324,46 +1324,46 @@
|
|
1324 |
{
|
1325 |
"epoch": 24.01,
|
1326 |
"learning_rate": 2.8296296296296297e-05,
|
1327 |
-
"loss": 0.
|
1328 |
"step": 1840
|
1329 |
},
|
1330 |
{
|
1331 |
"epoch": 24.01,
|
1332 |
"learning_rate": 2.814814814814815e-05,
|
1333 |
-
"loss": 0.
|
1334 |
"step": 1850
|
1335 |
},
|
1336 |
{
|
1337 |
"epoch": 24.02,
|
1338 |
"learning_rate": 2.8000000000000003e-05,
|
1339 |
-
"loss": 0.
|
1340 |
"step": 1860
|
1341 |
},
|
1342 |
{
|
1343 |
"epoch": 24.02,
|
1344 |
"learning_rate": 2.7851851851851853e-05,
|
1345 |
-
"loss": 0.
|
1346 |
"step": 1870
|
1347 |
},
|
1348 |
{
|
1349 |
"epoch": 24.02,
|
1350 |
-
"eval_accuracy": 0.
|
1351 |
-
"eval_loss": 0.
|
1352 |
-
"eval_runtime":
|
1353 |
-
"eval_samples_per_second":
|
1354 |
-
"eval_steps_per_second": 4.
|
1355 |
"step": 1875
|
1356 |
},
|
1357 |
{
|
1358 |
"epoch": 25.0,
|
1359 |
"learning_rate": 2.7703703703703706e-05,
|
1360 |
-
"loss": 0.
|
1361 |
"step": 1880
|
1362 |
},
|
1363 |
{
|
1364 |
"epoch": 25.0,
|
1365 |
"learning_rate": 2.7555555555555555e-05,
|
1366 |
-
"loss": 0.
|
1367 |
"step": 1890
|
1368 |
},
|
1369 |
{
|
@@ -1393,7 +1393,7 @@
|
|
1393 |
{
|
1394 |
"epoch": 25.02,
|
1395 |
"learning_rate": 2.6814814814814814e-05,
|
1396 |
-
"loss": 0.
|
1397 |
"step": 1940
|
1398 |
},
|
1399 |
{
|
@@ -1404,11 +1404,11 @@
|
|
1404 |
},
|
1405 |
{
|
1406 |
"epoch": 25.02,
|
1407 |
-
"eval_accuracy": 0.
|
1408 |
-
"eval_loss": 0.
|
1409 |
-
"eval_runtime":
|
1410 |
-
"eval_samples_per_second": 15.
|
1411 |
-
"eval_steps_per_second": 4.
|
1412 |
"step": 1950
|
1413 |
},
|
1414 |
{
|
@@ -1438,40 +1438,40 @@
|
|
1438 |
{
|
1439 |
"epoch": 26.01,
|
1440 |
"learning_rate": 2.5925925925925925e-05,
|
1441 |
-
"loss": 0.
|
1442 |
"step": 2000
|
1443 |
},
|
1444 |
{
|
1445 |
"epoch": 26.02,
|
1446 |
"learning_rate": 2.5777777777777778e-05,
|
1447 |
-
"loss": 0.
|
1448 |
"step": 2010
|
1449 |
},
|
1450 |
{
|
1451 |
"epoch": 26.02,
|
1452 |
"learning_rate": 2.562962962962963e-05,
|
1453 |
-
"loss": 0.
|
1454 |
"step": 2020
|
1455 |
},
|
1456 |
{
|
1457 |
"epoch": 26.02,
|
1458 |
-
"eval_accuracy":
|
1459 |
-
"eval_loss": 0.
|
1460 |
-
"eval_runtime":
|
1461 |
-
"eval_samples_per_second":
|
1462 |
-
"eval_steps_per_second": 4.
|
1463 |
"step": 2025
|
1464 |
},
|
1465 |
{
|
1466 |
"epoch": 27.0,
|
1467 |
"learning_rate": 2.5481481481481484e-05,
|
1468 |
-
"loss": 0.
|
1469 |
"step": 2030
|
1470 |
},
|
1471 |
{
|
1472 |
"epoch": 27.0,
|
1473 |
"learning_rate": 2.5333333333333337e-05,
|
1474 |
-
"loss": 0.
|
1475 |
"step": 2040
|
1476 |
},
|
1477 |
{
|
@@ -1495,13 +1495,13 @@
|
|
1495 |
{
|
1496 |
"epoch": 27.01,
|
1497 |
"learning_rate": 2.4740740740740742e-05,
|
1498 |
-
"loss": 0.
|
1499 |
"step": 2080
|
1500 |
},
|
1501 |
{
|
1502 |
"epoch": 27.02,
|
1503 |
"learning_rate": 2.4592592592592595e-05,
|
1504 |
-
"loss": 0.
|
1505 |
"step": 2090
|
1506 |
},
|
1507 |
{
|
@@ -1512,17 +1512,17 @@
|
|
1512 |
},
|
1513 |
{
|
1514 |
"epoch": 27.02,
|
1515 |
-
"eval_accuracy":
|
1516 |
-
"eval_loss": 0.
|
1517 |
-
"eval_runtime": 2.
|
1518 |
-
"eval_samples_per_second":
|
1519 |
-
"eval_steps_per_second":
|
1520 |
"step": 2100
|
1521 |
},
|
1522 |
{
|
1523 |
"epoch": 28.0,
|
1524 |
"learning_rate": 2.4296296296296298e-05,
|
1525 |
-
"loss": 0.
|
1526 |
"step": 2110
|
1527 |
},
|
1528 |
{
|
@@ -1546,28 +1546,28 @@
|
|
1546 |
{
|
1547 |
"epoch": 28.01,
|
1548 |
"learning_rate": 2.3703703703703707e-05,
|
1549 |
-
"loss": 0.
|
1550 |
"step": 2150
|
1551 |
},
|
1552 |
{
|
1553 |
"epoch": 28.02,
|
1554 |
"learning_rate": 2.3555555555555556e-05,
|
1555 |
-
"loss": 0.
|
1556 |
"step": 2160
|
1557 |
},
|
1558 |
{
|
1559 |
"epoch": 28.02,
|
1560 |
"learning_rate": 2.340740740740741e-05,
|
1561 |
-
"loss": 0.
|
1562 |
"step": 2170
|
1563 |
},
|
1564 |
{
|
1565 |
"epoch": 28.02,
|
1566 |
-
"eval_accuracy": 0.
|
1567 |
-
"eval_loss": 0.
|
1568 |
-
"eval_runtime": 2.
|
1569 |
-
"eval_samples_per_second":
|
1570 |
-
"eval_steps_per_second":
|
1571 |
"step": 2175
|
1572 |
},
|
1573 |
{
|
@@ -1579,13 +1579,13 @@
|
|
1579 |
{
|
1580 |
"epoch": 29.0,
|
1581 |
"learning_rate": 2.3111111111111112e-05,
|
1582 |
-
"loss": 0.
|
1583 |
"step": 2190
|
1584 |
},
|
1585 |
{
|
1586 |
"epoch": 29.01,
|
1587 |
"learning_rate": 2.2962962962962965e-05,
|
1588 |
-
"loss": 0.
|
1589 |
"step": 2200
|
1590 |
},
|
1591 |
{
|
@@ -1609,22 +1609,22 @@
|
|
1609 |
{
|
1610 |
"epoch": 29.02,
|
1611 |
"learning_rate": 2.2370370370370374e-05,
|
1612 |
-
"loss": 0.
|
1613 |
"step": 2240
|
1614 |
},
|
1615 |
{
|
1616 |
"epoch": 29.02,
|
1617 |
"learning_rate": 2.2222222222222223e-05,
|
1618 |
-
"loss": 0.
|
1619 |
"step": 2250
|
1620 |
},
|
1621 |
{
|
1622 |
"epoch": 29.02,
|
1623 |
-
"eval_accuracy": 0.
|
1624 |
-
"eval_loss": 0.
|
1625 |
-
"eval_runtime": 2.
|
1626 |
-
"eval_samples_per_second": 15.
|
1627 |
-
"eval_steps_per_second":
|
1628 |
"step": 2250
|
1629 |
},
|
1630 |
{
|
@@ -1642,19 +1642,19 @@
|
|
1642 |
{
|
1643 |
"epoch": 30.01,
|
1644 |
"learning_rate": 2.177777777777778e-05,
|
1645 |
-
"loss": 0.
|
1646 |
"step": 2280
|
1647 |
},
|
1648 |
{
|
1649 |
"epoch": 30.01,
|
1650 |
"learning_rate": 2.162962962962963e-05,
|
1651 |
-
"loss": 0.
|
1652 |
"step": 2290
|
1653 |
},
|
1654 |
{
|
1655 |
"epoch": 30.01,
|
1656 |
"learning_rate": 2.148148148148148e-05,
|
1657 |
-
"loss": 0.
|
1658 |
"step": 2300
|
1659 |
},
|
1660 |
{
|
@@ -1666,52 +1666,52 @@
|
|
1666 |
{
|
1667 |
"epoch": 30.02,
|
1668 |
"learning_rate": 2.1185185185185184e-05,
|
1669 |
-
"loss": 0.
|
1670 |
"step": 2320
|
1671 |
},
|
1672 |
{
|
1673 |
"epoch": 30.02,
|
1674 |
-
"eval_accuracy": 0.
|
1675 |
-
"eval_loss": 0.
|
1676 |
-
"eval_runtime": 2.
|
1677 |
-
"eval_samples_per_second":
|
1678 |
-
"eval_steps_per_second":
|
1679 |
"step": 2325
|
1680 |
},
|
1681 |
{
|
1682 |
"epoch": 31.0,
|
1683 |
"learning_rate": 2.1037037037037037e-05,
|
1684 |
-
"loss": 0.
|
1685 |
"step": 2330
|
1686 |
},
|
1687 |
{
|
1688 |
"epoch": 31.0,
|
1689 |
"learning_rate": 2.088888888888889e-05,
|
1690 |
-
"loss": 0.
|
1691 |
"step": 2340
|
1692 |
},
|
1693 |
{
|
1694 |
"epoch": 31.01,
|
1695 |
"learning_rate": 2.074074074074074e-05,
|
1696 |
-
"loss": 0.
|
1697 |
"step": 2350
|
1698 |
},
|
1699 |
{
|
1700 |
"epoch": 31.01,
|
1701 |
"learning_rate": 2.0592592592592593e-05,
|
1702 |
-
"loss": 0.
|
1703 |
"step": 2360
|
1704 |
},
|
1705 |
{
|
1706 |
"epoch": 31.01,
|
1707 |
"learning_rate": 2.0444444444444446e-05,
|
1708 |
-
"loss": 0.
|
1709 |
"step": 2370
|
1710 |
},
|
1711 |
{
|
1712 |
"epoch": 31.01,
|
1713 |
"learning_rate": 2.0296296296296296e-05,
|
1714 |
-
"loss": 0.
|
1715 |
"step": 2380
|
1716 |
},
|
1717 |
{
|
@@ -1723,16 +1723,16 @@
|
|
1723 |
{
|
1724 |
"epoch": 31.02,
|
1725 |
"learning_rate": 2e-05,
|
1726 |
-
"loss": 0.
|
1727 |
"step": 2400
|
1728 |
},
|
1729 |
{
|
1730 |
"epoch": 31.02,
|
1731 |
-
"eval_accuracy": 0.
|
1732 |
-
"eval_loss": 0.
|
1733 |
-
"eval_runtime": 2.
|
1734 |
-
"eval_samples_per_second":
|
1735 |
-
"eval_steps_per_second":
|
1736 |
"step": 2400
|
1737 |
},
|
1738 |
{
|
@@ -1750,7 +1750,7 @@
|
|
1750 |
{
|
1751 |
"epoch": 32.01,
|
1752 |
"learning_rate": 1.9555555555555557e-05,
|
1753 |
-
"loss": 0.
|
1754 |
"step": 2430
|
1755 |
},
|
1756 |
{
|
@@ -1779,11 +1779,11 @@
|
|
1779 |
},
|
1780 |
{
|
1781 |
"epoch": 32.02,
|
1782 |
-
"eval_accuracy": 0.
|
1783 |
-
"eval_loss": 0.
|
1784 |
-
"eval_runtime": 2.
|
1785 |
-
"eval_samples_per_second": 15.
|
1786 |
-
"eval_steps_per_second":
|
1787 |
"step": 2475
|
1788 |
},
|
1789 |
{
|
@@ -1807,7 +1807,7 @@
|
|
1807 |
{
|
1808 |
"epoch": 33.01,
|
1809 |
"learning_rate": 1.837037037037037e-05,
|
1810 |
-
"loss": 0.
|
1811 |
"step": 2510
|
1812 |
},
|
1813 |
{
|
@@ -1836,17 +1836,17 @@
|
|
1836 |
},
|
1837 |
{
|
1838 |
"epoch": 33.02,
|
1839 |
-
"eval_accuracy": 0.
|
1840 |
-
"eval_loss": 0.
|
1841 |
-
"eval_runtime": 2.
|
1842 |
-
"eval_samples_per_second":
|
1843 |
-
"eval_steps_per_second":
|
1844 |
"step": 2550
|
1845 |
},
|
1846 |
{
|
1847 |
"epoch": 34.0,
|
1848 |
"learning_rate": 1.762962962962963e-05,
|
1849 |
-
"loss": 0.
|
1850 |
"step": 2560
|
1851 |
},
|
1852 |
{
|
@@ -1864,7 +1864,7 @@
|
|
1864 |
{
|
1865 |
"epoch": 34.01,
|
1866 |
"learning_rate": 1.7185185185185185e-05,
|
1867 |
-
"loss": 0.
|
1868 |
"step": 2590
|
1869 |
},
|
1870 |
{
|
@@ -1887,23 +1887,23 @@
|
|
1887 |
},
|
1888 |
{
|
1889 |
"epoch": 34.02,
|
1890 |
-
"eval_accuracy": 0.
|
1891 |
-
"eval_loss": 0.
|
1892 |
-
"eval_runtime": 2.
|
1893 |
-
"eval_samples_per_second":
|
1894 |
-
"eval_steps_per_second":
|
1895 |
"step": 2625
|
1896 |
},
|
1897 |
{
|
1898 |
"epoch": 35.0,
|
1899 |
"learning_rate": 1.6592592592592594e-05,
|
1900 |
-
"loss": 0.
|
1901 |
"step": 2630
|
1902 |
},
|
1903 |
{
|
1904 |
"epoch": 35.0,
|
1905 |
"learning_rate": 1.6444444444444447e-05,
|
1906 |
-
"loss": 0.
|
1907 |
"step": 2640
|
1908 |
},
|
1909 |
{
|
@@ -1921,7 +1921,7 @@
|
|
1921 |
{
|
1922 |
"epoch": 35.01,
|
1923 |
"learning_rate": 1.6000000000000003e-05,
|
1924 |
-
"loss": 0.
|
1925 |
"step": 2670
|
1926 |
},
|
1927 |
{
|
@@ -1933,7 +1933,7 @@
|
|
1933 |
{
|
1934 |
"epoch": 35.02,
|
1935 |
"learning_rate": 1.5703703703703705e-05,
|
1936 |
-
"loss": 0.
|
1937 |
"step": 2690
|
1938 |
},
|
1939 |
{
|
@@ -1944,35 +1944,35 @@
|
|
1944 |
},
|
1945 |
{
|
1946 |
"epoch": 35.02,
|
1947 |
-
"eval_accuracy": 0.
|
1948 |
-
"eval_loss": 0.
|
1949 |
-
"eval_runtime": 2.
|
1950 |
-
"eval_samples_per_second":
|
1951 |
-
"eval_steps_per_second":
|
1952 |
"step": 2700
|
1953 |
},
|
1954 |
{
|
1955 |
"epoch": 36.0,
|
1956 |
"learning_rate": 1.5407407407407408e-05,
|
1957 |
-
"loss": 0.
|
1958 |
"step": 2710
|
1959 |
},
|
1960 |
{
|
1961 |
"epoch": 36.01,
|
1962 |
"learning_rate": 1.5259259259259258e-05,
|
1963 |
-
"loss": 0.
|
1964 |
"step": 2720
|
1965 |
},
|
1966 |
{
|
1967 |
"epoch": 36.01,
|
1968 |
"learning_rate": 1.5111111111111112e-05,
|
1969 |
-
"loss": 0.
|
1970 |
"step": 2730
|
1971 |
},
|
1972 |
{
|
1973 |
"epoch": 36.01,
|
1974 |
"learning_rate": 1.4962962962962965e-05,
|
1975 |
-
"loss": 0.
|
1976 |
"step": 2740
|
1977 |
},
|
1978 |
{
|
@@ -1995,11 +1995,11 @@
|
|
1995 |
},
|
1996 |
{
|
1997 |
"epoch": 36.02,
|
1998 |
-
"eval_accuracy": 0.
|
1999 |
-
"eval_loss": 0.
|
2000 |
-
"eval_runtime":
|
2001 |
-
"eval_samples_per_second": 16.
|
2002 |
-
"eval_steps_per_second": 4.
|
2003 |
"step": 2775
|
2004 |
},
|
2005 |
{
|
@@ -2011,7 +2011,7 @@
|
|
2011 |
{
|
2012 |
"epoch": 37.0,
|
2013 |
"learning_rate": 1.4222222222222224e-05,
|
2014 |
-
"loss": 0.
|
2015 |
"step": 2790
|
2016 |
},
|
2017 |
{
|
@@ -2029,19 +2029,19 @@
|
|
2029 |
{
|
2030 |
"epoch": 37.01,
|
2031 |
"learning_rate": 1.3777777777777778e-05,
|
2032 |
-
"loss": 0.
|
2033 |
"step": 2820
|
2034 |
},
|
2035 |
{
|
2036 |
"epoch": 37.01,
|
2037 |
"learning_rate": 1.362962962962963e-05,
|
2038 |
-
"loss": 0.
|
2039 |
"step": 2830
|
2040 |
},
|
2041 |
{
|
2042 |
"epoch": 37.02,
|
2043 |
"learning_rate": 1.348148148148148e-05,
|
2044 |
-
"loss": 0.
|
2045 |
"step": 2840
|
2046 |
},
|
2047 |
{
|
@@ -2052,11 +2052,11 @@
|
|
2052 |
},
|
2053 |
{
|
2054 |
"epoch": 37.02,
|
2055 |
-
"eval_accuracy": 0.
|
2056 |
-
"eval_loss": 0.
|
2057 |
-
"eval_runtime":
|
2058 |
-
"eval_samples_per_second": 16.
|
2059 |
-
"eval_steps_per_second": 4.
|
2060 |
"step": 2850
|
2061 |
},
|
2062 |
{
|
@@ -2068,7 +2068,7 @@
|
|
2068 |
{
|
2069 |
"epoch": 38.01,
|
2070 |
"learning_rate": 1.3037037037037036e-05,
|
2071 |
-
"loss": 0.
|
2072 |
"step": 2870
|
2073 |
},
|
2074 |
{
|
@@ -2086,7 +2086,7 @@
|
|
2086 |
{
|
2087 |
"epoch": 38.01,
|
2088 |
"learning_rate": 1.2592592592592592e-05,
|
2089 |
-
"loss": 0.
|
2090 |
"step": 2900
|
2091 |
},
|
2092 |
{
|
@@ -2098,16 +2098,16 @@
|
|
2098 |
{
|
2099 |
"epoch": 38.02,
|
2100 |
"learning_rate": 1.2296296296296298e-05,
|
2101 |
-
"loss": 0.
|
2102 |
"step": 2920
|
2103 |
},
|
2104 |
{
|
2105 |
"epoch": 38.02,
|
2106 |
-
"eval_accuracy": 0.
|
2107 |
-
"eval_loss": 0.
|
2108 |
-
"eval_runtime":
|
2109 |
-
"eval_samples_per_second":
|
2110 |
-
"eval_steps_per_second": 4.
|
2111 |
"step": 2925
|
2112 |
},
|
2113 |
{
|
@@ -2131,7 +2131,7 @@
|
|
2131 |
{
|
2132 |
"epoch": 39.01,
|
2133 |
"learning_rate": 1.1703703703703705e-05,
|
2134 |
-
"loss": 0.
|
2135 |
"step": 2960
|
2136 |
},
|
2137 |
{
|
@@ -2149,7 +2149,7 @@
|
|
2149 |
{
|
2150 |
"epoch": 39.02,
|
2151 |
"learning_rate": 1.125925925925926e-05,
|
2152 |
-
"loss": 0.
|
2153 |
"step": 2990
|
2154 |
},
|
2155 |
{
|
@@ -2160,11 +2160,11 @@
|
|
2160 |
},
|
2161 |
{
|
2162 |
"epoch": 39.02,
|
2163 |
-
"eval_accuracy": 0.
|
2164 |
-
"eval_loss": 0.
|
2165 |
-
"eval_runtime":
|
2166 |
-
"eval_samples_per_second": 16.
|
2167 |
-
"eval_steps_per_second": 4.
|
2168 |
"step": 3000
|
2169 |
},
|
2170 |
{
|
@@ -2211,11 +2211,11 @@
|
|
2211 |
},
|
2212 |
{
|
2213 |
"epoch": 40.02,
|
2214 |
-
"eval_accuracy": 0.
|
2215 |
-
"eval_loss": 0.
|
2216 |
-
"eval_runtime":
|
2217 |
-
"eval_samples_per_second": 16.
|
2218 |
-
"eval_steps_per_second": 4.
|
2219 |
"step": 3075
|
2220 |
},
|
2221 |
{
|
@@ -2268,11 +2268,11 @@
|
|
2268 |
},
|
2269 |
{
|
2270 |
"epoch": 41.02,
|
2271 |
-
"eval_accuracy": 0.
|
2272 |
-
"eval_loss": 0.
|
2273 |
-
"eval_runtime":
|
2274 |
-
"eval_samples_per_second":
|
2275 |
-
"eval_steps_per_second": 4.
|
2276 |
"step": 3150
|
2277 |
},
|
2278 |
{
|
@@ -2319,11 +2319,11 @@
|
|
2319 |
},
|
2320 |
{
|
2321 |
"epoch": 42.02,
|
2322 |
-
"eval_accuracy": 0.
|
2323 |
-
"eval_loss": 0.
|
2324 |
-
"eval_runtime":
|
2325 |
-
"eval_samples_per_second":
|
2326 |
-
"eval_steps_per_second": 4.
|
2327 |
"step": 3225
|
2328 |
},
|
2329 |
{
|
@@ -2376,11 +2376,11 @@
|
|
2376 |
},
|
2377 |
{
|
2378 |
"epoch": 43.02,
|
2379 |
-
"eval_accuracy": 0.
|
2380 |
-
"eval_loss": 0.
|
2381 |
-
"eval_runtime":
|
2382 |
-
"eval_samples_per_second": 16.
|
2383 |
-
"eval_steps_per_second": 4.
|
2384 |
"step": 3300
|
2385 |
},
|
2386 |
{
|
@@ -2427,11 +2427,11 @@
|
|
2427 |
},
|
2428 |
{
|
2429 |
"epoch": 44.02,
|
2430 |
-
"eval_accuracy": 0.
|
2431 |
-
"eval_loss": 0.
|
2432 |
-
"eval_runtime":
|
2433 |
-
"eval_samples_per_second":
|
2434 |
-
"eval_steps_per_second": 4.
|
2435 |
"step": 3375
|
2436 |
},
|
2437 |
{
|
@@ -2467,13 +2467,13 @@
|
|
2467 |
{
|
2468 |
"epoch": 45.01,
|
2469 |
"learning_rate": 4.740740740740741e-06,
|
2470 |
-
"loss": 0.
|
2471 |
"step": 3430
|
2472 |
},
|
2473 |
{
|
2474 |
"epoch": 45.02,
|
2475 |
"learning_rate": 4.592592592592593e-06,
|
2476 |
-
"loss": 0.
|
2477 |
"step": 3440
|
2478 |
},
|
2479 |
{
|
@@ -2484,11 +2484,11 @@
|
|
2484 |
},
|
2485 |
{
|
2486 |
"epoch": 45.02,
|
2487 |
-
"eval_accuracy": 0.
|
2488 |
-
"eval_loss": 0.
|
2489 |
-
"eval_runtime":
|
2490 |
-
"eval_samples_per_second": 15.
|
2491 |
-
"eval_steps_per_second": 4.
|
2492 |
"step": 3450
|
2493 |
},
|
2494 |
{
|
@@ -2535,11 +2535,11 @@
|
|
2535 |
},
|
2536 |
{
|
2537 |
"epoch": 46.02,
|
2538 |
-
"eval_accuracy": 0.
|
2539 |
-
"eval_loss": 0.
|
2540 |
-
"eval_runtime":
|
2541 |
-
"eval_samples_per_second": 16.
|
2542 |
-
"eval_steps_per_second": 4.
|
2543 |
"step": 3525
|
2544 |
},
|
2545 |
{
|
@@ -2592,17 +2592,17 @@
|
|
2592 |
},
|
2593 |
{
|
2594 |
"epoch": 47.02,
|
2595 |
-
"eval_accuracy": 0.
|
2596 |
-
"eval_loss": 0.
|
2597 |
-
"eval_runtime":
|
2598 |
-
"eval_samples_per_second":
|
2599 |
-
"eval_steps_per_second": 4.
|
2600 |
"step": 3600
|
2601 |
},
|
2602 |
{
|
2603 |
"epoch": 48.0,
|
2604 |
"learning_rate": 2.0740740740740742e-06,
|
2605 |
-
"loss": 0.
|
2606 |
"step": 3610
|
2607 |
},
|
2608 |
{
|
@@ -2620,7 +2620,7 @@
|
|
2620 |
{
|
2621 |
"epoch": 48.01,
|
2622 |
"learning_rate": 1.6296296296296295e-06,
|
2623 |
-
"loss": 0.
|
2624 |
"step": 3640
|
2625 |
},
|
2626 |
{
|
@@ -2643,11 +2643,11 @@
|
|
2643 |
},
|
2644 |
{
|
2645 |
"epoch": 48.02,
|
2646 |
-
"eval_accuracy": 0.
|
2647 |
-
"eval_loss": 0.
|
2648 |
-
"eval_runtime":
|
2649 |
-
"eval_samples_per_second": 16.
|
2650 |
-
"eval_steps_per_second": 4.
|
2651 |
"step": 3675
|
2652 |
},
|
2653 |
{
|
@@ -2683,13 +2683,13 @@
|
|
2683 |
{
|
2684 |
"epoch": 49.01,
|
2685 |
"learning_rate": 2.962962962962963e-07,
|
2686 |
-
"loss": 0.
|
2687 |
"step": 3730
|
2688 |
},
|
2689 |
{
|
2690 |
"epoch": 49.02,
|
2691 |
"learning_rate": 1.4814814814814815e-07,
|
2692 |
-
"loss": 0.
|
2693 |
"step": 3740
|
2694 |
},
|
2695 |
{
|
@@ -2700,38 +2700,38 @@
|
|
2700 |
},
|
2701 |
{
|
2702 |
"epoch": 49.02,
|
2703 |
-
"eval_accuracy": 0.
|
2704 |
-
"eval_loss": 0.
|
2705 |
-
"eval_runtime":
|
2706 |
-
"eval_samples_per_second": 16.
|
2707 |
-
"eval_steps_per_second": 4.
|
2708 |
"step": 3750
|
2709 |
},
|
2710 |
{
|
2711 |
"epoch": 49.02,
|
2712 |
"step": 3750,
|
2713 |
"total_flos": 1.86923023515648e+19,
|
2714 |
-
"train_loss": 0.
|
2715 |
-
"train_runtime":
|
2716 |
-
"train_samples_per_second": 4.
|
2717 |
-
"train_steps_per_second": 1.
|
2718 |
},
|
2719 |
{
|
2720 |
"epoch": 49.02,
|
2721 |
-
"eval_accuracy": 0.
|
2722 |
-
"eval_loss": 0.
|
2723 |
-
"eval_runtime":
|
2724 |
-
"eval_samples_per_second":
|
2725 |
-
"eval_steps_per_second": 2.
|
2726 |
"step": 3750
|
2727 |
},
|
2728 |
{
|
2729 |
"epoch": 49.02,
|
2730 |
-
"eval_accuracy": 0.
|
2731 |
-
"eval_loss": 0.
|
2732 |
-
"eval_runtime":
|
2733 |
-
"eval_samples_per_second": 16.
|
2734 |
-
"eval_steps_per_second": 4.
|
2735 |
"step": 3750
|
2736 |
}
|
2737 |
],
|
|
|
1 |
{
|
2 |
"best_metric": 1.0,
|
3 |
+
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-1275",
|
4 |
"epoch": 49.02,
|
5 |
"global_step": 3750,
|
6 |
"is_hyper_param_search": false,
|
|
|
10 |
{
|
11 |
"epoch": 0.0,
|
12 |
"learning_rate": 1.3333333333333334e-06,
|
13 |
+
"loss": 2.3098,
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.01,
|
18 |
"learning_rate": 2.666666666666667e-06,
|
19 |
+
"loss": 2.404,
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.01,
|
24 |
"learning_rate": 4.000000000000001e-06,
|
25 |
+
"loss": 2.3519,
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.01,
|
30 |
"learning_rate": 5.333333333333334e-06,
|
31 |
+
"loss": 2.3632,
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.01,
|
36 |
"learning_rate": 6.666666666666667e-06,
|
37 |
+
"loss": 2.2731,
|
38 |
"step": 50
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.02,
|
42 |
"learning_rate": 8.000000000000001e-06,
|
43 |
+
"loss": 2.3121,
|
44 |
"step": 60
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.02,
|
48 |
"learning_rate": 9.333333333333334e-06,
|
49 |
+
"loss": 2.3832,
|
50 |
"step": 70
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.02,
|
54 |
+
"eval_accuracy": 0.3783783783783784,
|
55 |
+
"eval_loss": 2.170041561126709,
|
56 |
+
"eval_runtime": 2.1587,
|
57 |
+
"eval_samples_per_second": 17.14,
|
58 |
+
"eval_steps_per_second": 4.632,
|
59 |
"step": 75
|
60 |
},
|
61 |
{
|
62 |
"epoch": 1.0,
|
63 |
"learning_rate": 1.0666666666666667e-05,
|
64 |
+
"loss": 2.2792,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 1.0,
|
69 |
"learning_rate": 1.2e-05,
|
70 |
+
"loss": 2.2242,
|
71 |
"step": 90
|
72 |
},
|
73 |
{
|
74 |
"epoch": 1.01,
|
75 |
"learning_rate": 1.3333333333333333e-05,
|
76 |
+
"loss": 2.1522,
|
77 |
"step": 100
|
78 |
},
|
79 |
{
|
80 |
"epoch": 1.01,
|
81 |
"learning_rate": 1.4666666666666668e-05,
|
82 |
+
"loss": 2.1471,
|
83 |
"step": 110
|
84 |
},
|
85 |
{
|
86 |
"epoch": 1.01,
|
87 |
"learning_rate": 1.6000000000000003e-05,
|
88 |
+
"loss": 2.1708,
|
89 |
"step": 120
|
90 |
},
|
91 |
{
|
92 |
"epoch": 1.01,
|
93 |
"learning_rate": 1.7333333333333336e-05,
|
94 |
+
"loss": 2.064,
|
95 |
"step": 130
|
96 |
},
|
97 |
{
|
98 |
"epoch": 1.02,
|
99 |
"learning_rate": 1.866666666666667e-05,
|
100 |
+
"loss": 2.0836,
|
101 |
"step": 140
|
102 |
},
|
103 |
{
|
104 |
"epoch": 1.02,
|
105 |
"learning_rate": 2e-05,
|
106 |
+
"loss": 1.8551,
|
107 |
"step": 150
|
108 |
},
|
109 |
{
|
110 |
"epoch": 1.02,
|
111 |
+
"eval_accuracy": 0.3783783783783784,
|
112 |
+
"eval_loss": 1.8235533237457275,
|
113 |
+
"eval_runtime": 2.2292,
|
114 |
+
"eval_samples_per_second": 16.598,
|
115 |
+
"eval_steps_per_second": 4.486,
|
116 |
"step": 150
|
117 |
},
|
118 |
{
|
119 |
"epoch": 2.0,
|
120 |
"learning_rate": 2.1333333333333335e-05,
|
121 |
+
"loss": 1.5745,
|
122 |
"step": 160
|
123 |
},
|
124 |
{
|
125 |
"epoch": 2.01,
|
126 |
"learning_rate": 2.2666666666666668e-05,
|
127 |
+
"loss": 1.4592,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 2.01,
|
132 |
"learning_rate": 2.4e-05,
|
133 |
+
"loss": 1.4084,
|
134 |
"step": 180
|
135 |
},
|
136 |
{
|
137 |
"epoch": 2.01,
|
138 |
"learning_rate": 2.5333333333333337e-05,
|
139 |
+
"loss": 1.1281,
|
140 |
"step": 190
|
141 |
},
|
142 |
{
|
143 |
"epoch": 2.01,
|
144 |
"learning_rate": 2.6666666666666667e-05,
|
145 |
+
"loss": 1.0162,
|
146 |
"step": 200
|
147 |
},
|
148 |
{
|
149 |
"epoch": 2.02,
|
150 |
"learning_rate": 2.8000000000000003e-05,
|
151 |
+
"loss": 0.8929,
|
152 |
"step": 210
|
153 |
},
|
154 |
{
|
155 |
"epoch": 2.02,
|
156 |
"learning_rate": 2.9333333333333336e-05,
|
157 |
+
"loss": 1.0117,
|
158 |
"step": 220
|
159 |
},
|
160 |
{
|
161 |
"epoch": 2.02,
|
162 |
+
"eval_accuracy": 0.5135135135135135,
|
163 |
+
"eval_loss": 1.1747188568115234,
|
164 |
+
"eval_runtime": 2.3005,
|
165 |
+
"eval_samples_per_second": 16.083,
|
166 |
+
"eval_steps_per_second": 4.347,
|
167 |
"step": 225
|
168 |
},
|
169 |
{
|
170 |
"epoch": 3.0,
|
171 |
"learning_rate": 3.066666666666667e-05,
|
172 |
+
"loss": 0.9181,
|
173 |
"step": 230
|
174 |
},
|
175 |
{
|
176 |
"epoch": 3.0,
|
177 |
"learning_rate": 3.2000000000000005e-05,
|
178 |
+
"loss": 0.7052,
|
179 |
"step": 240
|
180 |
},
|
181 |
{
|
182 |
"epoch": 3.01,
|
183 |
"learning_rate": 3.3333333333333335e-05,
|
184 |
+
"loss": 0.5638,
|
185 |
"step": 250
|
186 |
},
|
187 |
{
|
188 |
"epoch": 3.01,
|
189 |
"learning_rate": 3.466666666666667e-05,
|
190 |
+
"loss": 0.5728,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 3.01,
|
195 |
"learning_rate": 3.6e-05,
|
196 |
+
"loss": 0.731,
|
197 |
"step": 270
|
198 |
},
|
199 |
{
|
200 |
"epoch": 3.01,
|
201 |
"learning_rate": 3.733333333333334e-05,
|
202 |
+
"loss": 0.3545,
|
203 |
"step": 280
|
204 |
},
|
205 |
{
|
206 |
"epoch": 3.02,
|
207 |
"learning_rate": 3.866666666666667e-05,
|
208 |
+
"loss": 0.5066,
|
209 |
"step": 290
|
210 |
},
|
211 |
{
|
212 |
"epoch": 3.02,
|
213 |
"learning_rate": 4e-05,
|
214 |
+
"loss": 0.6169,
|
215 |
"step": 300
|
216 |
},
|
217 |
{
|
218 |
"epoch": 3.02,
|
219 |
+
"eval_accuracy": 0.8108108108108109,
|
220 |
+
"eval_loss": 0.44089388847351074,
|
221 |
+
"eval_runtime": 2.3874,
|
222 |
+
"eval_samples_per_second": 15.498,
|
223 |
+
"eval_steps_per_second": 4.189,
|
224 |
"step": 300
|
225 |
},
|
226 |
{
|
227 |
"epoch": 4.0,
|
228 |
"learning_rate": 4.133333333333333e-05,
|
229 |
+
"loss": 0.4126,
|
230 |
"step": 310
|
231 |
},
|
232 |
{
|
233 |
"epoch": 4.01,
|
234 |
"learning_rate": 4.266666666666667e-05,
|
235 |
+
"loss": 0.4563,
|
236 |
"step": 320
|
237 |
},
|
238 |
{
|
239 |
"epoch": 4.01,
|
240 |
"learning_rate": 4.4000000000000006e-05,
|
241 |
+
"loss": 0.2671,
|
242 |
"step": 330
|
243 |
},
|
244 |
{
|
245 |
"epoch": 4.01,
|
246 |
"learning_rate": 4.5333333333333335e-05,
|
247 |
+
"loss": 0.5918,
|
248 |
"step": 340
|
249 |
},
|
250 |
{
|
251 |
"epoch": 4.01,
|
252 |
"learning_rate": 4.666666666666667e-05,
|
253 |
+
"loss": 0.5229,
|
254 |
"step": 350
|
255 |
},
|
256 |
{
|
257 |
"epoch": 4.02,
|
258 |
"learning_rate": 4.8e-05,
|
259 |
+
"loss": 0.9112,
|
260 |
"step": 360
|
261 |
},
|
262 |
{
|
263 |
"epoch": 4.02,
|
264 |
"learning_rate": 4.933333333333334e-05,
|
265 |
+
"loss": 0.3897,
|
266 |
"step": 370
|
267 |
},
|
268 |
{
|
269 |
"epoch": 4.02,
|
270 |
+
"eval_accuracy": 0.8108108108108109,
|
271 |
+
"eval_loss": 0.6102820038795471,
|
272 |
+
"eval_runtime": 2.4331,
|
273 |
+
"eval_samples_per_second": 15.207,
|
274 |
+
"eval_steps_per_second": 4.11,
|
275 |
"step": 375
|
276 |
},
|
277 |
{
|
278 |
"epoch": 5.0,
|
279 |
"learning_rate": 4.9925925925925926e-05,
|
280 |
+
"loss": 0.2776,
|
281 |
"step": 380
|
282 |
},
|
283 |
{
|
284 |
"epoch": 5.0,
|
285 |
"learning_rate": 4.977777777777778e-05,
|
286 |
+
"loss": 0.494,
|
287 |
"step": 390
|
288 |
},
|
289 |
{
|
290 |
"epoch": 5.01,
|
291 |
"learning_rate": 4.962962962962963e-05,
|
292 |
+
"loss": 0.5899,
|
293 |
"step": 400
|
294 |
},
|
295 |
{
|
296 |
"epoch": 5.01,
|
297 |
"learning_rate": 4.9481481481481485e-05,
|
298 |
+
"loss": 0.5555,
|
299 |
"step": 410
|
300 |
},
|
301 |
{
|
302 |
"epoch": 5.01,
|
303 |
"learning_rate": 4.933333333333334e-05,
|
304 |
+
"loss": 0.4075,
|
305 |
"step": 420
|
306 |
},
|
307 |
{
|
308 |
"epoch": 5.01,
|
309 |
"learning_rate": 4.918518518518519e-05,
|
310 |
+
"loss": 0.4451,
|
311 |
"step": 430
|
312 |
},
|
313 |
{
|
314 |
"epoch": 5.02,
|
315 |
"learning_rate": 4.903703703703704e-05,
|
316 |
+
"loss": 0.7433,
|
317 |
"step": 440
|
318 |
},
|
319 |
{
|
320 |
"epoch": 5.02,
|
321 |
"learning_rate": 4.888888888888889e-05,
|
322 |
+
"loss": 0.3564,
|
323 |
"step": 450
|
324 |
},
|
325 |
{
|
326 |
"epoch": 5.02,
|
327 |
+
"eval_accuracy": 0.7837837837837838,
|
328 |
+
"eval_loss": 0.9210058450698853,
|
329 |
+
"eval_runtime": 2.3655,
|
330 |
+
"eval_samples_per_second": 15.642,
|
331 |
+
"eval_steps_per_second": 4.227,
|
332 |
"step": 450
|
333 |
},
|
334 |
{
|
335 |
"epoch": 6.0,
|
336 |
"learning_rate": 4.874074074074074e-05,
|
337 |
+
"loss": 0.3144,
|
338 |
"step": 460
|
339 |
},
|
340 |
{
|
341 |
"epoch": 6.01,
|
342 |
"learning_rate": 4.8592592592592596e-05,
|
343 |
+
"loss": 0.1399,
|
344 |
"step": 470
|
345 |
},
|
346 |
{
|
347 |
"epoch": 6.01,
|
348 |
"learning_rate": 4.844444444444445e-05,
|
349 |
+
"loss": 0.1546,
|
350 |
"step": 480
|
351 |
},
|
352 |
{
|
353 |
"epoch": 6.01,
|
354 |
"learning_rate": 4.82962962962963e-05,
|
355 |
+
"loss": 0.3734,
|
356 |
"step": 490
|
357 |
},
|
358 |
{
|
359 |
"epoch": 6.01,
|
360 |
"learning_rate": 4.814814814814815e-05,
|
361 |
+
"loss": 0.255,
|
362 |
"step": 500
|
363 |
},
|
364 |
{
|
365 |
"epoch": 6.02,
|
366 |
"learning_rate": 4.8e-05,
|
367 |
+
"loss": 0.3182,
|
368 |
"step": 510
|
369 |
},
|
370 |
{
|
371 |
"epoch": 6.02,
|
372 |
"learning_rate": 4.7851851851851854e-05,
|
373 |
+
"loss": 0.4998,
|
374 |
"step": 520
|
375 |
},
|
376 |
{
|
377 |
"epoch": 6.02,
|
378 |
+
"eval_accuracy": 0.8378378378378378,
|
379 |
+
"eval_loss": 0.6993206143379211,
|
380 |
+
"eval_runtime": 2.2397,
|
381 |
+
"eval_samples_per_second": 16.52,
|
382 |
+
"eval_steps_per_second": 4.465,
|
383 |
"step": 525
|
384 |
},
|
385 |
{
|
386 |
"epoch": 7.0,
|
387 |
"learning_rate": 4.770370370370371e-05,
|
388 |
+
"loss": 0.8842,
|
389 |
"step": 530
|
390 |
},
|
391 |
{
|
392 |
"epoch": 7.0,
|
393 |
"learning_rate": 4.755555555555556e-05,
|
394 |
+
"loss": 0.5218,
|
395 |
"step": 540
|
396 |
},
|
397 |
{
|
398 |
"epoch": 7.01,
|
399 |
"learning_rate": 4.740740740740741e-05,
|
400 |
+
"loss": 0.1773,
|
401 |
"step": 550
|
402 |
},
|
403 |
{
|
404 |
"epoch": 7.01,
|
405 |
"learning_rate": 4.7259259259259266e-05,
|
406 |
+
"loss": 0.1435,
|
407 |
"step": 560
|
408 |
},
|
409 |
{
|
410 |
"epoch": 7.01,
|
411 |
"learning_rate": 4.711111111111111e-05,
|
412 |
+
"loss": 0.1301,
|
413 |
"step": 570
|
414 |
},
|
415 |
{
|
416 |
"epoch": 7.01,
|
417 |
"learning_rate": 4.6962962962962966e-05,
|
418 |
+
"loss": 0.1264,
|
419 |
"step": 580
|
420 |
},
|
421 |
{
|
422 |
"epoch": 7.02,
|
423 |
"learning_rate": 4.681481481481482e-05,
|
424 |
+
"loss": 0.0623,
|
425 |
"step": 590
|
426 |
},
|
427 |
{
|
428 |
"epoch": 7.02,
|
429 |
"learning_rate": 4.666666666666667e-05,
|
430 |
+
"loss": 0.0605,
|
431 |
"step": 600
|
432 |
},
|
433 |
{
|
434 |
"epoch": 7.02,
|
435 |
+
"eval_accuracy": 0.918918918918919,
|
436 |
+
"eval_loss": 0.16171327233314514,
|
437 |
+
"eval_runtime": 2.3543,
|
438 |
+
"eval_samples_per_second": 15.716,
|
439 |
+
"eval_steps_per_second": 4.248,
|
440 |
"step": 600
|
441 |
},
|
442 |
{
|
443 |
"epoch": 8.0,
|
444 |
"learning_rate": 4.6518518518518525e-05,
|
445 |
+
"loss": 0.0462,
|
446 |
"step": 610
|
447 |
},
|
448 |
{
|
449 |
"epoch": 8.01,
|
450 |
"learning_rate": 4.637037037037038e-05,
|
451 |
+
"loss": 0.3026,
|
452 |
"step": 620
|
453 |
},
|
454 |
{
|
455 |
"epoch": 8.01,
|
456 |
"learning_rate": 4.6222222222222224e-05,
|
457 |
+
"loss": 0.0066,
|
458 |
"step": 630
|
459 |
},
|
460 |
{
|
461 |
"epoch": 8.01,
|
462 |
"learning_rate": 4.607407407407408e-05,
|
463 |
+
"loss": 0.0487,
|
464 |
"step": 640
|
465 |
},
|
466 |
{
|
467 |
"epoch": 8.01,
|
468 |
"learning_rate": 4.592592592592593e-05,
|
469 |
+
"loss": 0.0711,
|
470 |
"step": 650
|
471 |
},
|
472 |
{
|
473 |
"epoch": 8.02,
|
474 |
"learning_rate": 4.577777777777778e-05,
|
475 |
+
"loss": 0.1624,
|
476 |
"step": 660
|
477 |
},
|
478 |
{
|
479 |
"epoch": 8.02,
|
480 |
"learning_rate": 4.5629629629629636e-05,
|
481 |
+
"loss": 0.0814,
|
482 |
"step": 670
|
483 |
},
|
484 |
{
|
485 |
"epoch": 8.02,
|
486 |
+
"eval_accuracy": 0.8378378378378378,
|
487 |
+
"eval_loss": 0.6547620892524719,
|
488 |
+
"eval_runtime": 2.2934,
|
489 |
+
"eval_samples_per_second": 16.133,
|
490 |
+
"eval_steps_per_second": 4.36,
|
491 |
"step": 675
|
492 |
},
|
493 |
{
|
494 |
"epoch": 9.0,
|
495 |
"learning_rate": 4.548148148148149e-05,
|
496 |
+
"loss": 0.014,
|
497 |
"step": 680
|
498 |
},
|
499 |
{
|
500 |
"epoch": 9.0,
|
501 |
"learning_rate": 4.5333333333333335e-05,
|
502 |
+
"loss": 0.112,
|
503 |
"step": 690
|
504 |
},
|
505 |
{
|
506 |
"epoch": 9.01,
|
507 |
"learning_rate": 4.518518518518519e-05,
|
508 |
+
"loss": 0.06,
|
509 |
"step": 700
|
510 |
},
|
511 |
{
|
512 |
"epoch": 9.01,
|
513 |
"learning_rate": 4.503703703703704e-05,
|
514 |
+
"loss": 0.1564,
|
515 |
"step": 710
|
516 |
},
|
517 |
{
|
518 |
"epoch": 9.01,
|
519 |
"learning_rate": 4.4888888888888894e-05,
|
520 |
+
"loss": 0.142,
|
521 |
"step": 720
|
522 |
},
|
523 |
{
|
524 |
"epoch": 9.01,
|
525 |
"learning_rate": 4.474074074074075e-05,
|
526 |
+
"loss": 0.0574,
|
527 |
"step": 730
|
528 |
},
|
529 |
{
|
530 |
"epoch": 9.02,
|
531 |
"learning_rate": 4.4592592592592594e-05,
|
532 |
+
"loss": 0.2043,
|
533 |
"step": 740
|
534 |
},
|
535 |
{
|
536 |
"epoch": 9.02,
|
537 |
"learning_rate": 4.4444444444444447e-05,
|
538 |
+
"loss": 0.0312,
|
539 |
"step": 750
|
540 |
},
|
541 |
{
|
542 |
"epoch": 9.02,
|
543 |
+
"eval_accuracy": 0.8648648648648649,
|
544 |
+
"eval_loss": 0.5517419576644897,
|
545 |
+
"eval_runtime": 2.2202,
|
546 |
+
"eval_samples_per_second": 16.665,
|
547 |
+
"eval_steps_per_second": 4.504,
|
548 |
"step": 750
|
549 |
},
|
550 |
{
|
551 |
"epoch": 10.0,
|
552 |
"learning_rate": 4.42962962962963e-05,
|
553 |
+
"loss": 0.0041,
|
554 |
"step": 760
|
555 |
},
|
556 |
{
|
557 |
"epoch": 10.01,
|
558 |
"learning_rate": 4.414814814814815e-05,
|
559 |
+
"loss": 0.1084,
|
560 |
"step": 770
|
561 |
},
|
562 |
{
|
563 |
"epoch": 10.01,
|
564 |
"learning_rate": 4.4000000000000006e-05,
|
565 |
+
"loss": 0.2527,
|
566 |
"step": 780
|
567 |
},
|
568 |
{
|
569 |
"epoch": 10.01,
|
570 |
"learning_rate": 4.385185185185185e-05,
|
571 |
+
"loss": 0.0034,
|
572 |
"step": 790
|
573 |
},
|
574 |
{
|
575 |
"epoch": 10.01,
|
576 |
"learning_rate": 4.3703703703703705e-05,
|
577 |
+
"loss": 0.0029,
|
578 |
"step": 800
|
579 |
},
|
580 |
{
|
581 |
"epoch": 10.02,
|
582 |
"learning_rate": 4.355555555555556e-05,
|
583 |
+
"loss": 0.0052,
|
584 |
"step": 810
|
585 |
},
|
586 |
{
|
587 |
"epoch": 10.02,
|
588 |
"learning_rate": 4.340740740740741e-05,
|
589 |
+
"loss": 0.023,
|
590 |
"step": 820
|
591 |
},
|
592 |
{
|
593 |
"epoch": 10.02,
|
594 |
+
"eval_accuracy": 0.9459459459459459,
|
595 |
+
"eval_loss": 0.3978298008441925,
|
596 |
+
"eval_runtime": 2.2307,
|
597 |
+
"eval_samples_per_second": 16.587,
|
598 |
+
"eval_steps_per_second": 4.483,
|
599 |
"step": 825
|
600 |
},
|
601 |
{
|
602 |
"epoch": 11.0,
|
603 |
"learning_rate": 4.325925925925926e-05,
|
604 |
+
"loss": 0.0064,
|
605 |
"step": 830
|
606 |
},
|
607 |
{
|
608 |
"epoch": 11.0,
|
609 |
"learning_rate": 4.311111111111111e-05,
|
610 |
+
"loss": 0.0926,
|
611 |
"step": 840
|
612 |
},
|
613 |
{
|
614 |
"epoch": 11.01,
|
615 |
"learning_rate": 4.296296296296296e-05,
|
616 |
+
"loss": 0.0824,
|
617 |
"step": 850
|
618 |
},
|
619 |
{
|
620 |
"epoch": 11.01,
|
621 |
"learning_rate": 4.2814814814814816e-05,
|
622 |
+
"loss": 0.0054,
|
623 |
"step": 860
|
624 |
},
|
625 |
{
|
626 |
"epoch": 11.01,
|
627 |
"learning_rate": 4.266666666666667e-05,
|
628 |
+
"loss": 0.0038,
|
629 |
"step": 870
|
630 |
},
|
631 |
{
|
632 |
"epoch": 11.01,
|
633 |
"learning_rate": 4.2518518518518515e-05,
|
634 |
+
"loss": 0.0046,
|
635 |
"step": 880
|
636 |
},
|
637 |
{
|
638 |
"epoch": 11.02,
|
639 |
"learning_rate": 4.237037037037037e-05,
|
640 |
+
"loss": 0.0029,
|
641 |
"step": 890
|
642 |
},
|
643 |
{
|
644 |
"epoch": 11.02,
|
645 |
"learning_rate": 4.222222222222222e-05,
|
646 |
+
"loss": 0.0021,
|
647 |
"step": 900
|
648 |
},
|
649 |
{
|
650 |
"epoch": 11.02,
|
651 |
+
"eval_accuracy": 0.918918918918919,
|
652 |
+
"eval_loss": 0.3967694342136383,
|
653 |
+
"eval_runtime": 2.1802,
|
654 |
+
"eval_samples_per_second": 16.971,
|
655 |
+
"eval_steps_per_second": 4.587,
|
656 |
"step": 900
|
657 |
},
|
658 |
{
|
659 |
"epoch": 12.0,
|
660 |
"learning_rate": 4.2074074074074075e-05,
|
661 |
+
"loss": 0.0097,
|
662 |
"step": 910
|
663 |
},
|
664 |
{
|
665 |
"epoch": 12.01,
|
666 |
"learning_rate": 4.192592592592593e-05,
|
667 |
+
"loss": 0.0019,
|
668 |
"step": 920
|
669 |
},
|
670 |
{
|
671 |
"epoch": 12.01,
|
672 |
"learning_rate": 4.177777777777778e-05,
|
673 |
+
"loss": 0.0137,
|
674 |
"step": 930
|
675 |
},
|
676 |
{
|
677 |
"epoch": 12.01,
|
678 |
"learning_rate": 4.162962962962963e-05,
|
679 |
+
"loss": 0.0022,
|
680 |
"step": 940
|
681 |
},
|
682 |
{
|
683 |
"epoch": 12.01,
|
684 |
"learning_rate": 4.148148148148148e-05,
|
685 |
+
"loss": 0.0614,
|
686 |
"step": 950
|
687 |
},
|
688 |
{
|
689 |
"epoch": 12.02,
|
690 |
"learning_rate": 4.133333333333333e-05,
|
691 |
+
"loss": 0.0019,
|
692 |
"step": 960
|
693 |
},
|
694 |
{
|
695 |
"epoch": 12.02,
|
696 |
"learning_rate": 4.1185185185185186e-05,
|
697 |
+
"loss": 0.1367,
|
698 |
"step": 970
|
699 |
},
|
700 |
{
|
701 |
"epoch": 12.02,
|
702 |
+
"eval_accuracy": 0.972972972972973,
|
703 |
+
"eval_loss": 0.04322541132569313,
|
704 |
+
"eval_runtime": 2.1825,
|
705 |
+
"eval_samples_per_second": 16.953,
|
706 |
+
"eval_steps_per_second": 4.582,
|
707 |
"step": 975
|
708 |
},
|
709 |
{
|
710 |
"epoch": 13.0,
|
711 |
"learning_rate": 4.103703703703704e-05,
|
712 |
+
"loss": 0.0021,
|
713 |
"step": 980
|
714 |
},
|
715 |
{
|
716 |
"epoch": 13.0,
|
717 |
"learning_rate": 4.088888888888889e-05,
|
718 |
+
"loss": 0.0023,
|
719 |
"step": 990
|
720 |
},
|
721 |
{
|
722 |
"epoch": 13.01,
|
723 |
"learning_rate": 4.074074074074074e-05,
|
724 |
+
"loss": 0.0019,
|
725 |
"step": 1000
|
726 |
},
|
727 |
{
|
728 |
"epoch": 13.01,
|
729 |
"learning_rate": 4.059259259259259e-05,
|
730 |
+
"loss": 0.0029,
|
731 |
"step": 1010
|
732 |
},
|
733 |
{
|
734 |
"epoch": 13.01,
|
735 |
"learning_rate": 4.0444444444444444e-05,
|
736 |
+
"loss": 0.002,
|
737 |
"step": 1020
|
738 |
},
|
739 |
{
|
|
|
745 |
{
|
746 |
"epoch": 13.02,
|
747 |
"learning_rate": 4.014814814814815e-05,
|
748 |
+
"loss": 0.0015,
|
749 |
"step": 1040
|
750 |
},
|
751 |
{
|
752 |
"epoch": 13.02,
|
753 |
"learning_rate": 4e-05,
|
754 |
+
"loss": 0.0021,
|
755 |
"step": 1050
|
756 |
},
|
757 |
{
|
758 |
"epoch": 13.02,
|
759 |
+
"eval_accuracy": 0.972972972972973,
|
760 |
+
"eval_loss": 0.18388445675373077,
|
761 |
+
"eval_runtime": 2.1858,
|
762 |
+
"eval_samples_per_second": 16.927,
|
763 |
+
"eval_steps_per_second": 4.575,
|
764 |
"step": 1050
|
765 |
},
|
766 |
{
|
|
|
772 |
{
|
773 |
"epoch": 14.01,
|
774 |
"learning_rate": 3.97037037037037e-05,
|
775 |
+
"loss": 0.1972,
|
776 |
"step": 1070
|
777 |
},
|
778 |
{
|
779 |
"epoch": 14.01,
|
780 |
"learning_rate": 3.9555555555555556e-05,
|
781 |
+
"loss": 0.0014,
|
782 |
"step": 1080
|
783 |
},
|
784 |
{
|
785 |
"epoch": 14.01,
|
786 |
"learning_rate": 3.940740740740741e-05,
|
787 |
+
"loss": 0.0015,
|
788 |
"step": 1090
|
789 |
},
|
790 |
{
|
791 |
"epoch": 14.01,
|
792 |
"learning_rate": 3.925925925925926e-05,
|
793 |
+
"loss": 0.0015,
|
794 |
"step": 1100
|
795 |
},
|
796 |
{
|
|
|
802 |
{
|
803 |
"epoch": 14.02,
|
804 |
"learning_rate": 3.896296296296296e-05,
|
805 |
+
"loss": 0.2373,
|
806 |
"step": 1120
|
807 |
},
|
808 |
{
|
809 |
"epoch": 14.02,
|
810 |
+
"eval_accuracy": 0.972972972972973,
|
811 |
+
"eval_loss": 0.07551968842744827,
|
812 |
+
"eval_runtime": 2.247,
|
813 |
+
"eval_samples_per_second": 16.466,
|
814 |
+
"eval_steps_per_second": 4.45,
|
815 |
"step": 1125
|
816 |
},
|
817 |
{
|
818 |
"epoch": 15.0,
|
819 |
"learning_rate": 3.8814814814814814e-05,
|
820 |
+
"loss": 0.0013,
|
821 |
"step": 1130
|
822 |
},
|
823 |
{
|
824 |
"epoch": 15.0,
|
825 |
"learning_rate": 3.866666666666667e-05,
|
826 |
+
"loss": 0.039,
|
827 |
"step": 1140
|
828 |
},
|
829 |
{
|
830 |
"epoch": 15.01,
|
831 |
"learning_rate": 3.851851851851852e-05,
|
832 |
+
"loss": 0.1708,
|
833 |
"step": 1150
|
834 |
},
|
835 |
{
|
836 |
"epoch": 15.01,
|
837 |
"learning_rate": 3.837037037037037e-05,
|
838 |
+
"loss": 0.076,
|
839 |
"step": 1160
|
840 |
},
|
841 |
{
|
|
|
847 |
{
|
848 |
"epoch": 15.01,
|
849 |
"learning_rate": 3.807407407407408e-05,
|
850 |
+
"loss": 0.002,
|
851 |
"step": 1180
|
852 |
},
|
853 |
{
|
854 |
"epoch": 15.02,
|
855 |
"learning_rate": 3.7925925925925925e-05,
|
856 |
+
"loss": 0.0012,
|
857 |
"step": 1190
|
858 |
},
|
859 |
{
|
860 |
"epoch": 15.02,
|
861 |
"learning_rate": 3.777777777777778e-05,
|
862 |
+
"loss": 0.0015,
|
863 |
"step": 1200
|
864 |
},
|
865 |
{
|
866 |
"epoch": 15.02,
|
867 |
+
"eval_accuracy": 0.9459459459459459,
|
868 |
+
"eval_loss": 0.14861811697483063,
|
869 |
+
"eval_runtime": 2.2534,
|
870 |
+
"eval_samples_per_second": 16.42,
|
871 |
+
"eval_steps_per_second": 4.438,
|
872 |
"step": 1200
|
873 |
},
|
874 |
{
|
875 |
"epoch": 16.0,
|
876 |
"learning_rate": 3.762962962962963e-05,
|
877 |
+
"loss": 0.0659,
|
878 |
"step": 1210
|
879 |
},
|
880 |
{
|
881 |
"epoch": 16.01,
|
882 |
"learning_rate": 3.7481481481481484e-05,
|
883 |
+
"loss": 0.0036,
|
884 |
"step": 1220
|
885 |
},
|
886 |
{
|
887 |
"epoch": 16.01,
|
888 |
"learning_rate": 3.733333333333334e-05,
|
889 |
+
"loss": 0.1704,
|
890 |
"step": 1230
|
891 |
},
|
892 |
{
|
893 |
"epoch": 16.01,
|
894 |
"learning_rate": 3.718518518518519e-05,
|
895 |
+
"loss": 0.0014,
|
896 |
"step": 1240
|
897 |
},
|
898 |
{
|
899 |
"epoch": 16.01,
|
900 |
"learning_rate": 3.7037037037037037e-05,
|
901 |
+
"loss": 0.0014,
|
902 |
"step": 1250
|
903 |
},
|
904 |
{
|
905 |
"epoch": 16.02,
|
906 |
"learning_rate": 3.688888888888889e-05,
|
907 |
+
"loss": 0.0012,
|
908 |
"step": 1260
|
909 |
},
|
910 |
{
|
911 |
"epoch": 16.02,
|
912 |
"learning_rate": 3.674074074074074e-05,
|
913 |
+
"loss": 0.0013,
|
914 |
"step": 1270
|
915 |
},
|
916 |
{
|
917 |
"epoch": 16.02,
|
918 |
"eval_accuracy": 1.0,
|
919 |
+
"eval_loss": 0.017381420359015465,
|
920 |
+
"eval_runtime": 2.2311,
|
921 |
+
"eval_samples_per_second": 16.584,
|
922 |
+
"eval_steps_per_second": 4.482,
|
923 |
"step": 1275
|
924 |
},
|
925 |
{
|
926 |
"epoch": 17.0,
|
927 |
"learning_rate": 3.6592592592592596e-05,
|
928 |
+
"loss": 0.0061,
|
929 |
"step": 1280
|
930 |
},
|
931 |
{
|
932 |
"epoch": 17.0,
|
933 |
"learning_rate": 3.644444444444445e-05,
|
934 |
+
"loss": 0.0012,
|
935 |
"step": 1290
|
936 |
},
|
937 |
{
|
938 |
"epoch": 17.01,
|
939 |
"learning_rate": 3.62962962962963e-05,
|
940 |
+
"loss": 0.0011,
|
941 |
"step": 1300
|
942 |
},
|
943 |
{
|
|
|
949 |
{
|
950 |
"epoch": 17.01,
|
951 |
"learning_rate": 3.6e-05,
|
952 |
+
"loss": 0.0011,
|
953 |
"step": 1320
|
954 |
},
|
955 |
{
|
956 |
"epoch": 17.01,
|
957 |
"learning_rate": 3.5851851851851854e-05,
|
958 |
+
"loss": 0.0018,
|
959 |
"step": 1330
|
960 |
},
|
961 |
{
|
962 |
"epoch": 17.02,
|
963 |
"learning_rate": 3.570370370370371e-05,
|
964 |
+
"loss": 0.0028,
|
965 |
"step": 1340
|
966 |
},
|
967 |
{
|
968 |
"epoch": 17.02,
|
969 |
"learning_rate": 3.555555555555556e-05,
|
970 |
+
"loss": 0.1707,
|
971 |
"step": 1350
|
972 |
},
|
973 |
{
|
974 |
"epoch": 17.02,
|
975 |
+
"eval_accuracy": 0.8918918918918919,
|
976 |
+
"eval_loss": 0.5295668840408325,
|
977 |
+
"eval_runtime": 2.2321,
|
978 |
+
"eval_samples_per_second": 16.576,
|
979 |
+
"eval_steps_per_second": 4.48,
|
980 |
"step": 1350
|
981 |
},
|
982 |
{
|
983 |
"epoch": 18.0,
|
984 |
"learning_rate": 3.540740740740741e-05,
|
985 |
+
"loss": 0.0011,
|
986 |
"step": 1360
|
987 |
},
|
988 |
{
|
989 |
"epoch": 18.01,
|
990 |
"learning_rate": 3.525925925925926e-05,
|
991 |
+
"loss": 0.4316,
|
992 |
"step": 1370
|
993 |
},
|
994 |
{
|
995 |
"epoch": 18.01,
|
996 |
"learning_rate": 3.511111111111111e-05,
|
997 |
+
"loss": 0.197,
|
998 |
"step": 1380
|
999 |
},
|
1000 |
{
|
1001 |
"epoch": 18.01,
|
1002 |
"learning_rate": 3.4962962962962965e-05,
|
1003 |
+
"loss": 0.0015,
|
1004 |
"step": 1390
|
1005 |
},
|
1006 |
{
|
1007 |
"epoch": 18.01,
|
1008 |
"learning_rate": 3.481481481481482e-05,
|
1009 |
+
"loss": 0.0013,
|
1010 |
"step": 1400
|
1011 |
},
|
1012 |
{
|
1013 |
"epoch": 18.02,
|
1014 |
"learning_rate": 3.466666666666667e-05,
|
1015 |
+
"loss": 0.0025,
|
1016 |
"step": 1410
|
1017 |
},
|
1018 |
{
|
1019 |
"epoch": 18.02,
|
1020 |
"learning_rate": 3.4518518518518524e-05,
|
1021 |
+
"loss": 0.0014,
|
1022 |
"step": 1420
|
1023 |
},
|
1024 |
{
|
1025 |
"epoch": 18.02,
|
1026 |
+
"eval_accuracy": 1.0,
|
1027 |
+
"eval_loss": 0.02301825024187565,
|
1028 |
+
"eval_runtime": 2.2472,
|
1029 |
+
"eval_samples_per_second": 16.465,
|
1030 |
+
"eval_steps_per_second": 4.45,
|
1031 |
"step": 1425
|
1032 |
},
|
1033 |
{
|
1034 |
"epoch": 19.0,
|
1035 |
"learning_rate": 3.437037037037037e-05,
|
1036 |
+
"loss": 0.1095,
|
1037 |
"step": 1430
|
1038 |
},
|
1039 |
{
|
1040 |
"epoch": 19.0,
|
1041 |
"learning_rate": 3.4222222222222224e-05,
|
1042 |
+
"loss": 0.0083,
|
1043 |
"step": 1440
|
1044 |
},
|
1045 |
{
|
1046 |
"epoch": 19.01,
|
1047 |
"learning_rate": 3.4074074074074077e-05,
|
1048 |
+
"loss": 0.0023,
|
1049 |
"step": 1450
|
1050 |
},
|
1051 |
{
|
1052 |
"epoch": 19.01,
|
1053 |
"learning_rate": 3.392592592592593e-05,
|
1054 |
+
"loss": 0.048,
|
1055 |
"step": 1460
|
1056 |
},
|
1057 |
{
|
1058 |
"epoch": 19.01,
|
1059 |
"learning_rate": 3.377777777777778e-05,
|
1060 |
+
"loss": 0.1036,
|
1061 |
"step": 1470
|
1062 |
},
|
1063 |
{
|
1064 |
"epoch": 19.01,
|
1065 |
"learning_rate": 3.3629629629629636e-05,
|
1066 |
+
"loss": 0.0012,
|
1067 |
"step": 1480
|
1068 |
},
|
1069 |
{
|
1070 |
"epoch": 19.02,
|
1071 |
"learning_rate": 3.348148148148148e-05,
|
1072 |
+
"loss": 0.0936,
|
1073 |
"step": 1490
|
1074 |
},
|
1075 |
{
|
1076 |
"epoch": 19.02,
|
1077 |
"learning_rate": 3.3333333333333335e-05,
|
1078 |
+
"loss": 0.0011,
|
1079 |
"step": 1500
|
1080 |
},
|
1081 |
{
|
1082 |
"epoch": 19.02,
|
1083 |
+
"eval_accuracy": 0.8918918918918919,
|
1084 |
+
"eval_loss": 0.5438269972801208,
|
1085 |
+
"eval_runtime": 2.2529,
|
1086 |
+
"eval_samples_per_second": 16.423,
|
1087 |
+
"eval_steps_per_second": 4.439,
|
1088 |
"step": 1500
|
1089 |
},
|
1090 |
{
|
1091 |
"epoch": 20.0,
|
1092 |
"learning_rate": 3.318518518518519e-05,
|
1093 |
+
"loss": 0.0011,
|
1094 |
"step": 1510
|
1095 |
},
|
1096 |
{
|
1097 |
"epoch": 20.01,
|
1098 |
"learning_rate": 3.303703703703704e-05,
|
1099 |
+
"loss": 0.03,
|
1100 |
"step": 1520
|
1101 |
},
|
1102 |
{
|
1103 |
"epoch": 20.01,
|
1104 |
"learning_rate": 3.2888888888888894e-05,
|
1105 |
+
"loss": 0.0014,
|
1106 |
"step": 1530
|
1107 |
},
|
1108 |
{
|
1109 |
"epoch": 20.01,
|
1110 |
"learning_rate": 3.274074074074075e-05,
|
1111 |
+
"loss": 0.0013,
|
1112 |
"step": 1540
|
1113 |
},
|
1114 |
{
|
1115 |
"epoch": 20.01,
|
1116 |
"learning_rate": 3.25925925925926e-05,
|
1117 |
+
"loss": 0.0015,
|
1118 |
"step": 1550
|
1119 |
},
|
1120 |
{
|
1121 |
"epoch": 20.02,
|
1122 |
"learning_rate": 3.2444444444444446e-05,
|
1123 |
+
"loss": 0.0017,
|
1124 |
"step": 1560
|
1125 |
},
|
1126 |
{
|
1127 |
"epoch": 20.02,
|
1128 |
"learning_rate": 3.22962962962963e-05,
|
1129 |
+
"loss": 0.0011,
|
1130 |
"step": 1570
|
1131 |
},
|
1132 |
{
|
1133 |
"epoch": 20.02,
|
1134 |
+
"eval_accuracy": 0.8378378378378378,
|
1135 |
+
"eval_loss": 0.6956642866134644,
|
1136 |
+
"eval_runtime": 2.332,
|
1137 |
+
"eval_samples_per_second": 15.866,
|
1138 |
+
"eval_steps_per_second": 4.288,
|
1139 |
"step": 1575
|
1140 |
},
|
1141 |
{
|
1142 |
"epoch": 21.0,
|
1143 |
"learning_rate": 3.214814814814815e-05,
|
1144 |
+
"loss": 0.1479,
|
1145 |
"step": 1580
|
1146 |
},
|
1147 |
{
|
1148 |
"epoch": 21.0,
|
1149 |
"learning_rate": 3.2000000000000005e-05,
|
1150 |
+
"loss": 0.001,
|
1151 |
"step": 1590
|
1152 |
},
|
1153 |
{
|
1154 |
"epoch": 21.01,
|
1155 |
"learning_rate": 3.185185185185185e-05,
|
1156 |
+
"loss": 0.0009,
|
1157 |
"step": 1600
|
1158 |
},
|
1159 |
{
|
1160 |
"epoch": 21.01,
|
1161 |
"learning_rate": 3.1703703703703705e-05,
|
1162 |
+
"loss": 0.001,
|
1163 |
"step": 1610
|
1164 |
},
|
1165 |
{
|
1166 |
"epoch": 21.01,
|
1167 |
"learning_rate": 3.155555555555556e-05,
|
1168 |
+
"loss": 0.1083,
|
1169 |
"step": 1620
|
1170 |
},
|
1171 |
{
|
|
|
1177 |
{
|
1178 |
"epoch": 21.02,
|
1179 |
"learning_rate": 3.1259259259259264e-05,
|
1180 |
+
"loss": 0.001,
|
1181 |
"step": 1640
|
1182 |
},
|
1183 |
{
|
1184 |
"epoch": 21.02,
|
1185 |
"learning_rate": 3.111111111111111e-05,
|
1186 |
+
"loss": 0.0008,
|
1187 |
"step": 1650
|
1188 |
},
|
1189 |
{
|
1190 |
"epoch": 21.02,
|
1191 |
+
"eval_accuracy": 0.918918918918919,
|
1192 |
+
"eval_loss": 0.27051687240600586,
|
1193 |
+
"eval_runtime": 2.2804,
|
1194 |
+
"eval_samples_per_second": 16.225,
|
1195 |
+
"eval_steps_per_second": 4.385,
|
1196 |
"step": 1650
|
1197 |
},
|
1198 |
{
|
1199 |
"epoch": 22.0,
|
1200 |
"learning_rate": 3.096296296296296e-05,
|
1201 |
+
"loss": 0.0011,
|
1202 |
"step": 1660
|
1203 |
},
|
1204 |
{
|
1205 |
"epoch": 22.01,
|
1206 |
"learning_rate": 3.0814814814814816e-05,
|
1207 |
+
"loss": 0.0009,
|
1208 |
"step": 1670
|
1209 |
},
|
1210 |
{
|
|
|
1216 |
{
|
1217 |
"epoch": 22.01,
|
1218 |
"learning_rate": 3.0518518518518515e-05,
|
1219 |
+
"loss": 0.0008,
|
1220 |
"step": 1690
|
1221 |
},
|
1222 |
{
|
|
|
1234 |
{
|
1235 |
"epoch": 22.02,
|
1236 |
"learning_rate": 3.0074074074074078e-05,
|
1237 |
+
"loss": 0.0028,
|
1238 |
"step": 1720
|
1239 |
},
|
1240 |
{
|
1241 |
"epoch": 22.02,
|
1242 |
+
"eval_accuracy": 0.972972972972973,
|
1243 |
+
"eval_loss": 0.19646592438220978,
|
1244 |
+
"eval_runtime": 2.3582,
|
1245 |
+
"eval_samples_per_second": 15.69,
|
1246 |
+
"eval_steps_per_second": 4.24,
|
1247 |
"step": 1725
|
1248 |
},
|
1249 |
{
|
1250 |
"epoch": 23.0,
|
1251 |
"learning_rate": 2.992592592592593e-05,
|
1252 |
+
"loss": 0.0008,
|
1253 |
"step": 1730
|
1254 |
},
|
1255 |
{
|
1256 |
"epoch": 23.0,
|
1257 |
"learning_rate": 2.9777777777777777e-05,
|
1258 |
+
"loss": 0.0274,
|
1259 |
"step": 1740
|
1260 |
},
|
1261 |
{
|
|
|
1267 |
{
|
1268 |
"epoch": 23.01,
|
1269 |
"learning_rate": 2.9481481481481483e-05,
|
1270 |
+
"loss": 0.0008,
|
1271 |
"step": 1760
|
1272 |
},
|
1273 |
{
|
|
|
1285 |
{
|
1286 |
"epoch": 23.02,
|
1287 |
"learning_rate": 2.9037037037037042e-05,
|
1288 |
+
"loss": 0.0007,
|
1289 |
"step": 1790
|
1290 |
},
|
1291 |
{
|
|
|
1296 |
},
|
1297 |
{
|
1298 |
"epoch": 23.02,
|
1299 |
+
"eval_accuracy": 0.972972972972973,
|
1300 |
+
"eval_loss": 0.1782662570476532,
|
1301 |
+
"eval_runtime": 2.3245,
|
1302 |
+
"eval_samples_per_second": 15.918,
|
1303 |
+
"eval_steps_per_second": 4.302,
|
1304 |
"step": 1800
|
1305 |
},
|
1306 |
{
|
1307 |
"epoch": 24.0,
|
1308 |
"learning_rate": 2.874074074074074e-05,
|
1309 |
+
"loss": 0.0008,
|
1310 |
"step": 1810
|
1311 |
},
|
1312 |
{
|
1313 |
"epoch": 24.01,
|
1314 |
"learning_rate": 2.8592592592592594e-05,
|
1315 |
+
"loss": 0.0008,
|
1316 |
"step": 1820
|
1317 |
},
|
1318 |
{
|
|
|
1324 |
{
|
1325 |
"epoch": 24.01,
|
1326 |
"learning_rate": 2.8296296296296297e-05,
|
1327 |
+
"loss": 0.0007,
|
1328 |
"step": 1840
|
1329 |
},
|
1330 |
{
|
1331 |
"epoch": 24.01,
|
1332 |
"learning_rate": 2.814814814814815e-05,
|
1333 |
+
"loss": 0.0007,
|
1334 |
"step": 1850
|
1335 |
},
|
1336 |
{
|
1337 |
"epoch": 24.02,
|
1338 |
"learning_rate": 2.8000000000000003e-05,
|
1339 |
+
"loss": 0.0007,
|
1340 |
"step": 1860
|
1341 |
},
|
1342 |
{
|
1343 |
"epoch": 24.02,
|
1344 |
"learning_rate": 2.7851851851851853e-05,
|
1345 |
+
"loss": 0.0008,
|
1346 |
"step": 1870
|
1347 |
},
|
1348 |
{
|
1349 |
"epoch": 24.02,
|
1350 |
+
"eval_accuracy": 0.972972972972973,
|
1351 |
+
"eval_loss": 0.18091563880443573,
|
1352 |
+
"eval_runtime": 2.31,
|
1353 |
+
"eval_samples_per_second": 16.017,
|
1354 |
+
"eval_steps_per_second": 4.329,
|
1355 |
"step": 1875
|
1356 |
},
|
1357 |
{
|
1358 |
"epoch": 25.0,
|
1359 |
"learning_rate": 2.7703703703703706e-05,
|
1360 |
+
"loss": 0.0007,
|
1361 |
"step": 1880
|
1362 |
},
|
1363 |
{
|
1364 |
"epoch": 25.0,
|
1365 |
"learning_rate": 2.7555555555555555e-05,
|
1366 |
+
"loss": 0.0007,
|
1367 |
"step": 1890
|
1368 |
},
|
1369 |
{
|
|
|
1393 |
{
|
1394 |
"epoch": 25.02,
|
1395 |
"learning_rate": 2.6814814814814814e-05,
|
1396 |
+
"loss": 0.0006,
|
1397 |
"step": 1940
|
1398 |
},
|
1399 |
{
|
|
|
1404 |
},
|
1405 |
{
|
1406 |
"epoch": 25.02,
|
1407 |
+
"eval_accuracy": 0.972972972972973,
|
1408 |
+
"eval_loss": 0.17932352423667908,
|
1409 |
+
"eval_runtime": 2.377,
|
1410 |
+
"eval_samples_per_second": 15.566,
|
1411 |
+
"eval_steps_per_second": 4.207,
|
1412 |
"step": 1950
|
1413 |
},
|
1414 |
{
|
|
|
1438 |
{
|
1439 |
"epoch": 26.01,
|
1440 |
"learning_rate": 2.5925925925925925e-05,
|
1441 |
+
"loss": 0.0051,
|
1442 |
"step": 2000
|
1443 |
},
|
1444 |
{
|
1445 |
"epoch": 26.02,
|
1446 |
"learning_rate": 2.5777777777777778e-05,
|
1447 |
+
"loss": 0.0007,
|
1448 |
"step": 2010
|
1449 |
},
|
1450 |
{
|
1451 |
"epoch": 26.02,
|
1452 |
"learning_rate": 2.562962962962963e-05,
|
1453 |
+
"loss": 0.0009,
|
1454 |
"step": 2020
|
1455 |
},
|
1456 |
{
|
1457 |
"epoch": 26.02,
|
1458 |
+
"eval_accuracy": 0.972972972972973,
|
1459 |
+
"eval_loss": 0.09698139131069183,
|
1460 |
+
"eval_runtime": 2.2968,
|
1461 |
+
"eval_samples_per_second": 16.109,
|
1462 |
+
"eval_steps_per_second": 4.354,
|
1463 |
"step": 2025
|
1464 |
},
|
1465 |
{
|
1466 |
"epoch": 27.0,
|
1467 |
"learning_rate": 2.5481481481481484e-05,
|
1468 |
+
"loss": 0.0008,
|
1469 |
"step": 2030
|
1470 |
},
|
1471 |
{
|
1472 |
"epoch": 27.0,
|
1473 |
"learning_rate": 2.5333333333333337e-05,
|
1474 |
+
"loss": 0.0006,
|
1475 |
"step": 2040
|
1476 |
},
|
1477 |
{
|
|
|
1495 |
{
|
1496 |
"epoch": 27.01,
|
1497 |
"learning_rate": 2.4740740740740742e-05,
|
1498 |
+
"loss": 0.0006,
|
1499 |
"step": 2080
|
1500 |
},
|
1501 |
{
|
1502 |
"epoch": 27.02,
|
1503 |
"learning_rate": 2.4592592592592595e-05,
|
1504 |
+
"loss": 0.0006,
|
1505 |
"step": 2090
|
1506 |
},
|
1507 |
{
|
|
|
1512 |
},
|
1513 |
{
|
1514 |
"epoch": 27.02,
|
1515 |
+
"eval_accuracy": 0.9459459459459459,
|
1516 |
+
"eval_loss": 0.24828802049160004,
|
1517 |
+
"eval_runtime": 2.2708,
|
1518 |
+
"eval_samples_per_second": 16.294,
|
1519 |
+
"eval_steps_per_second": 4.404,
|
1520 |
"step": 2100
|
1521 |
},
|
1522 |
{
|
1523 |
"epoch": 28.0,
|
1524 |
"learning_rate": 2.4296296296296298e-05,
|
1525 |
+
"loss": 0.0007,
|
1526 |
"step": 2110
|
1527 |
},
|
1528 |
{
|
|
|
1546 |
{
|
1547 |
"epoch": 28.01,
|
1548 |
"learning_rate": 2.3703703703703707e-05,
|
1549 |
+
"loss": 0.0008,
|
1550 |
"step": 2150
|
1551 |
},
|
1552 |
{
|
1553 |
"epoch": 28.02,
|
1554 |
"learning_rate": 2.3555555555555556e-05,
|
1555 |
+
"loss": 0.0006,
|
1556 |
"step": 2160
|
1557 |
},
|
1558 |
{
|
1559 |
"epoch": 28.02,
|
1560 |
"learning_rate": 2.340740740740741e-05,
|
1561 |
+
"loss": 0.0006,
|
1562 |
"step": 2170
|
1563 |
},
|
1564 |
{
|
1565 |
"epoch": 28.02,
|
1566 |
+
"eval_accuracy": 0.9459459459459459,
|
1567 |
+
"eval_loss": 0.3035326898097992,
|
1568 |
+
"eval_runtime": 2.2477,
|
1569 |
+
"eval_samples_per_second": 16.461,
|
1570 |
+
"eval_steps_per_second": 4.449,
|
1571 |
"step": 2175
|
1572 |
},
|
1573 |
{
|
|
|
1579 |
{
|
1580 |
"epoch": 29.0,
|
1581 |
"learning_rate": 2.3111111111111112e-05,
|
1582 |
+
"loss": 0.0005,
|
1583 |
"step": 2190
|
1584 |
},
|
1585 |
{
|
1586 |
"epoch": 29.01,
|
1587 |
"learning_rate": 2.2962962962962965e-05,
|
1588 |
+
"loss": 0.0008,
|
1589 |
"step": 2200
|
1590 |
},
|
1591 |
{
|
|
|
1609 |
{
|
1610 |
"epoch": 29.02,
|
1611 |
"learning_rate": 2.2370370370370374e-05,
|
1612 |
+
"loss": 0.0006,
|
1613 |
"step": 2240
|
1614 |
},
|
1615 |
{
|
1616 |
"epoch": 29.02,
|
1617 |
"learning_rate": 2.2222222222222223e-05,
|
1618 |
+
"loss": 0.0006,
|
1619 |
"step": 2250
|
1620 |
},
|
1621 |
{
|
1622 |
"epoch": 29.02,
|
1623 |
+
"eval_accuracy": 0.9459459459459459,
|
1624 |
+
"eval_loss": 0.2314397692680359,
|
1625 |
+
"eval_runtime": 2.3203,
|
1626 |
+
"eval_samples_per_second": 15.946,
|
1627 |
+
"eval_steps_per_second": 4.31,
|
1628 |
"step": 2250
|
1629 |
},
|
1630 |
{
|
|
|
1642 |
{
|
1643 |
"epoch": 30.01,
|
1644 |
"learning_rate": 2.177777777777778e-05,
|
1645 |
+
"loss": 0.0005,
|
1646 |
"step": 2280
|
1647 |
},
|
1648 |
{
|
1649 |
"epoch": 30.01,
|
1650 |
"learning_rate": 2.162962962962963e-05,
|
1651 |
+
"loss": 0.0006,
|
1652 |
"step": 2290
|
1653 |
},
|
1654 |
{
|
1655 |
"epoch": 30.01,
|
1656 |
"learning_rate": 2.148148148148148e-05,
|
1657 |
+
"loss": 0.0005,
|
1658 |
"step": 2300
|
1659 |
},
|
1660 |
{
|
|
|
1666 |
{
|
1667 |
"epoch": 30.02,
|
1668 |
"learning_rate": 2.1185185185185184e-05,
|
1669 |
+
"loss": 0.0005,
|
1670 |
"step": 2320
|
1671 |
},
|
1672 |
{
|
1673 |
"epoch": 30.02,
|
1674 |
+
"eval_accuracy": 0.9459459459459459,
|
1675 |
+
"eval_loss": 0.19059520959854126,
|
1676 |
+
"eval_runtime": 2.2511,
|
1677 |
+
"eval_samples_per_second": 16.436,
|
1678 |
+
"eval_steps_per_second": 4.442,
|
1679 |
"step": 2325
|
1680 |
},
|
1681 |
{
|
1682 |
"epoch": 31.0,
|
1683 |
"learning_rate": 2.1037037037037037e-05,
|
1684 |
+
"loss": 0.0005,
|
1685 |
"step": 2330
|
1686 |
},
|
1687 |
{
|
1688 |
"epoch": 31.0,
|
1689 |
"learning_rate": 2.088888888888889e-05,
|
1690 |
+
"loss": 0.0005,
|
1691 |
"step": 2340
|
1692 |
},
|
1693 |
{
|
1694 |
"epoch": 31.01,
|
1695 |
"learning_rate": 2.074074074074074e-05,
|
1696 |
+
"loss": 0.0005,
|
1697 |
"step": 2350
|
1698 |
},
|
1699 |
{
|
1700 |
"epoch": 31.01,
|
1701 |
"learning_rate": 2.0592592592592593e-05,
|
1702 |
+
"loss": 0.0005,
|
1703 |
"step": 2360
|
1704 |
},
|
1705 |
{
|
1706 |
"epoch": 31.01,
|
1707 |
"learning_rate": 2.0444444444444446e-05,
|
1708 |
+
"loss": 0.0011,
|
1709 |
"step": 2370
|
1710 |
},
|
1711 |
{
|
1712 |
"epoch": 31.01,
|
1713 |
"learning_rate": 2.0296296296296296e-05,
|
1714 |
+
"loss": 0.1101,
|
1715 |
"step": 2380
|
1716 |
},
|
1717 |
{
|
|
|
1723 |
{
|
1724 |
"epoch": 31.02,
|
1725 |
"learning_rate": 2e-05,
|
1726 |
+
"loss": 0.0005,
|
1727 |
"step": 2400
|
1728 |
},
|
1729 |
{
|
1730 |
"epoch": 31.02,
|
1731 |
+
"eval_accuracy": 0.972972972972973,
|
1732 |
+
"eval_loss": 0.08136174082756042,
|
1733 |
+
"eval_runtime": 2.2842,
|
1734 |
+
"eval_samples_per_second": 16.198,
|
1735 |
+
"eval_steps_per_second": 4.378,
|
1736 |
"step": 2400
|
1737 |
},
|
1738 |
{
|
|
|
1750 |
{
|
1751 |
"epoch": 32.01,
|
1752 |
"learning_rate": 1.9555555555555557e-05,
|
1753 |
+
"loss": 0.0005,
|
1754 |
"step": 2430
|
1755 |
},
|
1756 |
{
|
|
|
1779 |
},
|
1780 |
{
|
1781 |
"epoch": 32.02,
|
1782 |
+
"eval_accuracy": 0.9459459459459459,
|
1783 |
+
"eval_loss": 0.08805122971534729,
|
1784 |
+
"eval_runtime": 2.3973,
|
1785 |
+
"eval_samples_per_second": 15.434,
|
1786 |
+
"eval_steps_per_second": 4.171,
|
1787 |
"step": 2475
|
1788 |
},
|
1789 |
{
|
|
|
1807 |
{
|
1808 |
"epoch": 33.01,
|
1809 |
"learning_rate": 1.837037037037037e-05,
|
1810 |
+
"loss": 0.0005,
|
1811 |
"step": 2510
|
1812 |
},
|
1813 |
{
|
|
|
1836 |
},
|
1837 |
{
|
1838 |
"epoch": 33.02,
|
1839 |
+
"eval_accuracy": 0.9459459459459459,
|
1840 |
+
"eval_loss": 0.07978475093841553,
|
1841 |
+
"eval_runtime": 2.302,
|
1842 |
+
"eval_samples_per_second": 16.073,
|
1843 |
+
"eval_steps_per_second": 4.344,
|
1844 |
"step": 2550
|
1845 |
},
|
1846 |
{
|
1847 |
"epoch": 34.0,
|
1848 |
"learning_rate": 1.762962962962963e-05,
|
1849 |
+
"loss": 0.0004,
|
1850 |
"step": 2560
|
1851 |
},
|
1852 |
{
|
|
|
1864 |
{
|
1865 |
"epoch": 34.01,
|
1866 |
"learning_rate": 1.7185185185185185e-05,
|
1867 |
+
"loss": 0.0005,
|
1868 |
"step": 2590
|
1869 |
},
|
1870 |
{
|
|
|
1887 |
},
|
1888 |
{
|
1889 |
"epoch": 34.02,
|
1890 |
+
"eval_accuracy": 0.9459459459459459,
|
1891 |
+
"eval_loss": 0.07055646181106567,
|
1892 |
+
"eval_runtime": 2.2924,
|
1893 |
+
"eval_samples_per_second": 16.14,
|
1894 |
+
"eval_steps_per_second": 4.362,
|
1895 |
"step": 2625
|
1896 |
},
|
1897 |
{
|
1898 |
"epoch": 35.0,
|
1899 |
"learning_rate": 1.6592592592592594e-05,
|
1900 |
+
"loss": 0.0004,
|
1901 |
"step": 2630
|
1902 |
},
|
1903 |
{
|
1904 |
"epoch": 35.0,
|
1905 |
"learning_rate": 1.6444444444444447e-05,
|
1906 |
+
"loss": 0.0005,
|
1907 |
"step": 2640
|
1908 |
},
|
1909 |
{
|
|
|
1921 |
{
|
1922 |
"epoch": 35.01,
|
1923 |
"learning_rate": 1.6000000000000003e-05,
|
1924 |
+
"loss": 0.0167,
|
1925 |
"step": 2670
|
1926 |
},
|
1927 |
{
|
|
|
1933 |
{
|
1934 |
"epoch": 35.02,
|
1935 |
"learning_rate": 1.5703703703703705e-05,
|
1936 |
+
"loss": 0.0858,
|
1937 |
"step": 2690
|
1938 |
},
|
1939 |
{
|
|
|
1944 |
},
|
1945 |
{
|
1946 |
"epoch": 35.02,
|
1947 |
+
"eval_accuracy": 0.9459459459459459,
|
1948 |
+
"eval_loss": 0.09486611932516098,
|
1949 |
+
"eval_runtime": 2.2709,
|
1950 |
+
"eval_samples_per_second": 16.293,
|
1951 |
+
"eval_steps_per_second": 4.404,
|
1952 |
"step": 2700
|
1953 |
},
|
1954 |
{
|
1955 |
"epoch": 36.0,
|
1956 |
"learning_rate": 1.5407407407407408e-05,
|
1957 |
+
"loss": 0.0005,
|
1958 |
"step": 2710
|
1959 |
},
|
1960 |
{
|
1961 |
"epoch": 36.01,
|
1962 |
"learning_rate": 1.5259259259259258e-05,
|
1963 |
+
"loss": 0.0005,
|
1964 |
"step": 2720
|
1965 |
},
|
1966 |
{
|
1967 |
"epoch": 36.01,
|
1968 |
"learning_rate": 1.5111111111111112e-05,
|
1969 |
+
"loss": 0.0005,
|
1970 |
"step": 2730
|
1971 |
},
|
1972 |
{
|
1973 |
"epoch": 36.01,
|
1974 |
"learning_rate": 1.4962962962962965e-05,
|
1975 |
+
"loss": 0.0005,
|
1976 |
"step": 2740
|
1977 |
},
|
1978 |
{
|
|
|
1995 |
},
|
1996 |
{
|
1997 |
"epoch": 36.02,
|
1998 |
+
"eval_accuracy": 0.9459459459459459,
|
1999 |
+
"eval_loss": 0.08677444607019424,
|
2000 |
+
"eval_runtime": 2.2061,
|
2001 |
+
"eval_samples_per_second": 16.772,
|
2002 |
+
"eval_steps_per_second": 4.533,
|
2003 |
"step": 2775
|
2004 |
},
|
2005 |
{
|
|
|
2011 |
{
|
2012 |
"epoch": 37.0,
|
2013 |
"learning_rate": 1.4222222222222224e-05,
|
2014 |
+
"loss": 0.0005,
|
2015 |
"step": 2790
|
2016 |
},
|
2017 |
{
|
|
|
2029 |
{
|
2030 |
"epoch": 37.01,
|
2031 |
"learning_rate": 1.3777777777777778e-05,
|
2032 |
+
"loss": 0.0005,
|
2033 |
"step": 2820
|
2034 |
},
|
2035 |
{
|
2036 |
"epoch": 37.01,
|
2037 |
"learning_rate": 1.362962962962963e-05,
|
2038 |
+
"loss": 0.0006,
|
2039 |
"step": 2830
|
2040 |
},
|
2041 |
{
|
2042 |
"epoch": 37.02,
|
2043 |
"learning_rate": 1.348148148148148e-05,
|
2044 |
+
"loss": 0.0005,
|
2045 |
"step": 2840
|
2046 |
},
|
2047 |
{
|
|
|
2052 |
},
|
2053 |
{
|
2054 |
"epoch": 37.02,
|
2055 |
+
"eval_accuracy": 0.972972972972973,
|
2056 |
+
"eval_loss": 0.059545956552028656,
|
2057 |
+
"eval_runtime": 2.2376,
|
2058 |
+
"eval_samples_per_second": 16.536,
|
2059 |
+
"eval_steps_per_second": 4.469,
|
2060 |
"step": 2850
|
2061 |
},
|
2062 |
{
|
|
|
2068 |
{
|
2069 |
"epoch": 38.01,
|
2070 |
"learning_rate": 1.3037037037037036e-05,
|
2071 |
+
"loss": 0.1455,
|
2072 |
"step": 2870
|
2073 |
},
|
2074 |
{
|
|
|
2086 |
{
|
2087 |
"epoch": 38.01,
|
2088 |
"learning_rate": 1.2592592592592592e-05,
|
2089 |
+
"loss": 0.0005,
|
2090 |
"step": 2900
|
2091 |
},
|
2092 |
{
|
|
|
2098 |
{
|
2099 |
"epoch": 38.02,
|
2100 |
"learning_rate": 1.2296296296296298e-05,
|
2101 |
+
"loss": 0.0005,
|
2102 |
"step": 2920
|
2103 |
},
|
2104 |
{
|
2105 |
"epoch": 38.02,
|
2106 |
+
"eval_accuracy": 0.972972972972973,
|
2107 |
+
"eval_loss": 0.13422098755836487,
|
2108 |
+
"eval_runtime": 2.2338,
|
2109 |
+
"eval_samples_per_second": 16.563,
|
2110 |
+
"eval_steps_per_second": 4.477,
|
2111 |
"step": 2925
|
2112 |
},
|
2113 |
{
|
|
|
2131 |
{
|
2132 |
"epoch": 39.01,
|
2133 |
"learning_rate": 1.1703703703703705e-05,
|
2134 |
+
"loss": 0.0005,
|
2135 |
"step": 2960
|
2136 |
},
|
2137 |
{
|
|
|
2149 |
{
|
2150 |
"epoch": 39.02,
|
2151 |
"learning_rate": 1.125925925925926e-05,
|
2152 |
+
"loss": 0.0006,
|
2153 |
"step": 2990
|
2154 |
},
|
2155 |
{
|
|
|
2160 |
},
|
2161 |
{
|
2162 |
"epoch": 39.02,
|
2163 |
+
"eval_accuracy": 0.972972972972973,
|
2164 |
+
"eval_loss": 0.15938998758792877,
|
2165 |
+
"eval_runtime": 2.243,
|
2166 |
+
"eval_samples_per_second": 16.496,
|
2167 |
+
"eval_steps_per_second": 4.458,
|
2168 |
"step": 3000
|
2169 |
},
|
2170 |
{
|
|
|
2211 |
},
|
2212 |
{
|
2213 |
"epoch": 40.02,
|
2214 |
+
"eval_accuracy": 0.972972972972973,
|
2215 |
+
"eval_loss": 0.14878199994564056,
|
2216 |
+
"eval_runtime": 2.2635,
|
2217 |
+
"eval_samples_per_second": 16.346,
|
2218 |
+
"eval_steps_per_second": 4.418,
|
2219 |
"step": 3075
|
2220 |
},
|
2221 |
{
|
|
|
2268 |
},
|
2269 |
{
|
2270 |
"epoch": 41.02,
|
2271 |
+
"eval_accuracy": 0.972972972972973,
|
2272 |
+
"eval_loss": 0.1433899849653244,
|
2273 |
+
"eval_runtime": 2.4808,
|
2274 |
+
"eval_samples_per_second": 14.914,
|
2275 |
+
"eval_steps_per_second": 4.031,
|
2276 |
"step": 3150
|
2277 |
},
|
2278 |
{
|
|
|
2319 |
},
|
2320 |
{
|
2321 |
"epoch": 42.02,
|
2322 |
+
"eval_accuracy": 0.972972972972973,
|
2323 |
+
"eval_loss": 0.11490071564912796,
|
2324 |
+
"eval_runtime": 2.2713,
|
2325 |
+
"eval_samples_per_second": 16.29,
|
2326 |
+
"eval_steps_per_second": 4.403,
|
2327 |
"step": 3225
|
2328 |
},
|
2329 |
{
|
|
|
2376 |
},
|
2377 |
{
|
2378 |
"epoch": 43.02,
|
2379 |
+
"eval_accuracy": 0.972972972972973,
|
2380 |
+
"eval_loss": 0.11192985624074936,
|
2381 |
+
"eval_runtime": 2.2722,
|
2382 |
+
"eval_samples_per_second": 16.284,
|
2383 |
+
"eval_steps_per_second": 4.401,
|
2384 |
"step": 3300
|
2385 |
},
|
2386 |
{
|
|
|
2427 |
},
|
2428 |
{
|
2429 |
"epoch": 44.02,
|
2430 |
+
"eval_accuracy": 0.972972972972973,
|
2431 |
+
"eval_loss": 0.11190944164991379,
|
2432 |
+
"eval_runtime": 2.2053,
|
2433 |
+
"eval_samples_per_second": 16.778,
|
2434 |
+
"eval_steps_per_second": 4.535,
|
2435 |
"step": 3375
|
2436 |
},
|
2437 |
{
|
|
|
2467 |
{
|
2468 |
"epoch": 45.01,
|
2469 |
"learning_rate": 4.740740740740741e-06,
|
2470 |
+
"loss": 0.0004,
|
2471 |
"step": 3430
|
2472 |
},
|
2473 |
{
|
2474 |
"epoch": 45.02,
|
2475 |
"learning_rate": 4.592592592592593e-06,
|
2476 |
+
"loss": 0.0004,
|
2477 |
"step": 3440
|
2478 |
},
|
2479 |
{
|
|
|
2484 |
},
|
2485 |
{
|
2486 |
"epoch": 45.02,
|
2487 |
+
"eval_accuracy": 0.972972972972973,
|
2488 |
+
"eval_loss": 0.10959651321172714,
|
2489 |
+
"eval_runtime": 2.3608,
|
2490 |
+
"eval_samples_per_second": 15.672,
|
2491 |
+
"eval_steps_per_second": 4.236,
|
2492 |
"step": 3450
|
2493 |
},
|
2494 |
{
|
|
|
2535 |
},
|
2536 |
{
|
2537 |
"epoch": 46.02,
|
2538 |
+
"eval_accuracy": 0.972972972972973,
|
2539 |
+
"eval_loss": 0.1096063181757927,
|
2540 |
+
"eval_runtime": 2.2302,
|
2541 |
+
"eval_samples_per_second": 16.591,
|
2542 |
+
"eval_steps_per_second": 4.484,
|
2543 |
"step": 3525
|
2544 |
},
|
2545 |
{
|
|
|
2592 |
},
|
2593 |
{
|
2594 |
"epoch": 47.02,
|
2595 |
+
"eval_accuracy": 0.972972972972973,
|
2596 |
+
"eval_loss": 0.10854890942573547,
|
2597 |
+
"eval_runtime": 2.2666,
|
2598 |
+
"eval_samples_per_second": 16.324,
|
2599 |
+
"eval_steps_per_second": 4.412,
|
2600 |
"step": 3600
|
2601 |
},
|
2602 |
{
|
2603 |
"epoch": 48.0,
|
2604 |
"learning_rate": 2.0740740740740742e-06,
|
2605 |
+
"loss": 0.0004,
|
2606 |
"step": 3610
|
2607 |
},
|
2608 |
{
|
|
|
2620 |
{
|
2621 |
"epoch": 48.01,
|
2622 |
"learning_rate": 1.6296296296296295e-06,
|
2623 |
+
"loss": 0.0005,
|
2624 |
"step": 3640
|
2625 |
},
|
2626 |
{
|
|
|
2643 |
},
|
2644 |
{
|
2645 |
"epoch": 48.02,
|
2646 |
+
"eval_accuracy": 0.972972972972973,
|
2647 |
+
"eval_loss": 0.10318177938461304,
|
2648 |
+
"eval_runtime": 2.2948,
|
2649 |
+
"eval_samples_per_second": 16.124,
|
2650 |
+
"eval_steps_per_second": 4.358,
|
2651 |
"step": 3675
|
2652 |
},
|
2653 |
{
|
|
|
2683 |
{
|
2684 |
"epoch": 49.01,
|
2685 |
"learning_rate": 2.962962962962963e-07,
|
2686 |
+
"loss": 0.0004,
|
2687 |
"step": 3730
|
2688 |
},
|
2689 |
{
|
2690 |
"epoch": 49.02,
|
2691 |
"learning_rate": 1.4814814814814815e-07,
|
2692 |
+
"loss": 0.0004,
|
2693 |
"step": 3740
|
2694 |
},
|
2695 |
{
|
|
|
2700 |
},
|
2701 |
{
|
2702 |
"epoch": 49.02,
|
2703 |
+
"eval_accuracy": 0.972972972972973,
|
2704 |
+
"eval_loss": 0.10637960582971573,
|
2705 |
+
"eval_runtime": 2.2939,
|
2706 |
+
"eval_samples_per_second": 16.13,
|
2707 |
+
"eval_steps_per_second": 4.359,
|
2708 |
"step": 3750
|
2709 |
},
|
2710 |
{
|
2711 |
"epoch": 49.02,
|
2712 |
"step": 3750,
|
2713 |
"total_flos": 1.86923023515648e+19,
|
2714 |
+
"train_loss": 0.1699262268283715,
|
2715 |
+
"train_runtime": 3668.7053,
|
2716 |
+
"train_samples_per_second": 4.089,
|
2717 |
+
"train_steps_per_second": 1.022
|
2718 |
},
|
2719 |
{
|
2720 |
"epoch": 49.02,
|
2721 |
+
"eval_accuracy": 0.9431818181818182,
|
2722 |
+
"eval_loss": 0.2483096718788147,
|
2723 |
+
"eval_runtime": 8.1578,
|
2724 |
+
"eval_samples_per_second": 10.787,
|
2725 |
+
"eval_steps_per_second": 2.697,
|
2726 |
"step": 3750
|
2727 |
},
|
2728 |
{
|
2729 |
"epoch": 49.02,
|
2730 |
+
"eval_accuracy": 0.9431818181818182,
|
2731 |
+
"eval_loss": 0.2483096718788147,
|
2732 |
+
"eval_runtime": 5.3467,
|
2733 |
+
"eval_samples_per_second": 16.459,
|
2734 |
+
"eval_steps_per_second": 4.115,
|
2735 |
"step": 3750
|
2736 |
}
|
2737 |
],
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3439
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:36ff6269f1807faf7ac2be9aadf648f57f17c5fdf647c535d3f6e8d478b99fe7
|
3 |
size 3439
|