Upload folder using huggingface_hub
Browse files- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- trainer_state.json +162 -162
- training_args.bin +1 -1
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 686525061
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:48e02db927d5123e3ae1c830db167827df07a85226a2c7faf31e17af0a0366b8
|
3 |
size 686525061
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343271789
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a51a5a533fd7542d18145c6853de93f25ee3d709d53ec729f2684e7565340f3d
|
3 |
size 343271789
|
trainer_state.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "./vit-base-beans/checkpoint-
|
4 |
"epoch": 1.9565217391304348,
|
5 |
"global_step": 720,
|
6 |
"is_hyper_param_search": false,
|
@@ -10,595 +10,595 @@
|
|
10 |
{
|
11 |
"epoch": 0.03,
|
12 |
"learning_rate": 0.0001972826086956522,
|
13 |
-
"loss": 0.
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.05,
|
18 |
"learning_rate": 0.00019456521739130434,
|
19 |
-
"loss": 0.
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.08,
|
24 |
"learning_rate": 0.00019184782608695653,
|
25 |
-
"loss": 0.
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.11,
|
30 |
"learning_rate": 0.0001891304347826087,
|
31 |
-
"loss": 0.
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.11,
|
36 |
-
"eval_accuracy": 0.
|
37 |
-
"eval_loss": 0.
|
38 |
-
"eval_runtime":
|
39 |
-
"eval_samples_per_second":
|
40 |
-
"eval_steps_per_second":
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
"epoch": 0.14,
|
45 |
"learning_rate": 0.0001864130434782609,
|
46 |
-
"loss": 0.
|
47 |
"step": 50
|
48 |
},
|
49 |
{
|
50 |
"epoch": 0.16,
|
51 |
"learning_rate": 0.00018369565217391304,
|
52 |
-
"loss": 0.
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
"epoch": 0.19,
|
57 |
"learning_rate": 0.00018097826086956522,
|
58 |
-
"loss": 0.
|
59 |
"step": 70
|
60 |
},
|
61 |
{
|
62 |
"epoch": 0.22,
|
63 |
"learning_rate": 0.0001782608695652174,
|
64 |
-
"loss": 0.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.22,
|
69 |
-
"eval_accuracy": 0.
|
70 |
-
"eval_loss": 0.
|
71 |
-
"eval_runtime":
|
72 |
-
"eval_samples_per_second":
|
73 |
-
"eval_steps_per_second": 4.
|
74 |
"step": 80
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.24,
|
78 |
"learning_rate": 0.00017554347826086956,
|
79 |
-
"loss": 0.
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.27,
|
84 |
"learning_rate": 0.00017282608695652174,
|
85 |
-
"loss": 0.
|
86 |
"step": 100
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.3,
|
90 |
"learning_rate": 0.00017010869565217392,
|
91 |
-
"loss": 0.
|
92 |
"step": 110
|
93 |
},
|
94 |
{
|
95 |
"epoch": 0.33,
|
96 |
"learning_rate": 0.0001673913043478261,
|
97 |
-
"loss": 0.
|
98 |
"step": 120
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.33,
|
102 |
-
"eval_accuracy": 0.
|
103 |
-
"eval_loss": 0.
|
104 |
-
"eval_runtime":
|
105 |
-
"eval_samples_per_second":
|
106 |
-
"eval_steps_per_second": 5.
|
107 |
"step": 120
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.35,
|
111 |
"learning_rate": 0.00016467391304347828,
|
112 |
-
"loss": 0.
|
113 |
"step": 130
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.38,
|
117 |
"learning_rate": 0.00016195652173913046,
|
118 |
-
"loss": 0.
|
119 |
"step": 140
|
120 |
},
|
121 |
{
|
122 |
"epoch": 0.41,
|
123 |
"learning_rate": 0.00015923913043478262,
|
124 |
-
"loss": 0.
|
125 |
"step": 150
|
126 |
},
|
127 |
{
|
128 |
"epoch": 0.43,
|
129 |
"learning_rate": 0.0001565217391304348,
|
130 |
-
"loss": 0.
|
131 |
"step": 160
|
132 |
},
|
133 |
{
|
134 |
"epoch": 0.43,
|
135 |
-
"eval_accuracy": 0.
|
136 |
-
"eval_loss": 0.
|
137 |
-
"eval_runtime":
|
138 |
-
"eval_samples_per_second":
|
139 |
-
"eval_steps_per_second": 5.
|
140 |
"step": 160
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.46,
|
144 |
"learning_rate": 0.00015380434782608698,
|
145 |
-
"loss": 0.
|
146 |
"step": 170
|
147 |
},
|
148 |
{
|
149 |
"epoch": 0.49,
|
150 |
"learning_rate": 0.00015108695652173913,
|
151 |
-
"loss": 0.
|
152 |
"step": 180
|
153 |
},
|
154 |
{
|
155 |
"epoch": 0.52,
|
156 |
"learning_rate": 0.0001483695652173913,
|
157 |
-
"loss": 0.
|
158 |
"step": 190
|
159 |
},
|
160 |
{
|
161 |
"epoch": 0.54,
|
162 |
"learning_rate": 0.0001456521739130435,
|
163 |
-
"loss": 0.
|
164 |
"step": 200
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.54,
|
168 |
-
"eval_accuracy": 0.
|
169 |
-
"eval_loss": 0.
|
170 |
-
"eval_runtime": 17.
|
171 |
-
"eval_samples_per_second":
|
172 |
-
"eval_steps_per_second": 5.
|
173 |
"step": 200
|
174 |
},
|
175 |
{
|
176 |
"epoch": 0.57,
|
177 |
"learning_rate": 0.00014293478260869567,
|
178 |
-
"loss": 0.
|
179 |
"step": 210
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.6,
|
183 |
"learning_rate": 0.00014021739130434783,
|
184 |
-
"loss": 0.
|
185 |
"step": 220
|
186 |
},
|
187 |
{
|
188 |
"epoch": 0.62,
|
189 |
"learning_rate": 0.0001375,
|
190 |
-
"loss": 0.
|
191 |
"step": 230
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.65,
|
195 |
"learning_rate": 0.0001347826086956522,
|
196 |
-
"loss": 0.
|
197 |
"step": 240
|
198 |
},
|
199 |
{
|
200 |
"epoch": 0.65,
|
201 |
-
"eval_accuracy": 0.
|
202 |
-
"eval_loss": 0.
|
203 |
-
"eval_runtime":
|
204 |
-
"eval_samples_per_second":
|
205 |
-
"eval_steps_per_second": 5.
|
206 |
"step": 240
|
207 |
},
|
208 |
{
|
209 |
"epoch": 0.68,
|
210 |
"learning_rate": 0.00013206521739130434,
|
211 |
-
"loss": 0.
|
212 |
"step": 250
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.71,
|
216 |
"learning_rate": 0.00012934782608695652,
|
217 |
-
"loss": 0.
|
218 |
"step": 260
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.73,
|
222 |
"learning_rate": 0.0001266304347826087,
|
223 |
-
"loss": 0.
|
224 |
"step": 270
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.76,
|
228 |
"learning_rate": 0.00012391304347826086,
|
229 |
-
"loss": 0.
|
230 |
"step": 280
|
231 |
},
|
232 |
{
|
233 |
"epoch": 0.76,
|
234 |
-
"eval_accuracy": 0.
|
235 |
-
"eval_loss": 0.
|
236 |
-
"eval_runtime":
|
237 |
-
"eval_samples_per_second":
|
238 |
-
"eval_steps_per_second":
|
239 |
"step": 280
|
240 |
},
|
241 |
{
|
242 |
"epoch": 0.79,
|
243 |
"learning_rate": 0.00012119565217391304,
|
244 |
-
"loss": 0.
|
245 |
"step": 290
|
246 |
},
|
247 |
{
|
248 |
"epoch": 0.82,
|
249 |
"learning_rate": 0.00011847826086956522,
|
250 |
-
"loss": 0.
|
251 |
"step": 300
|
252 |
},
|
253 |
{
|
254 |
"epoch": 0.84,
|
255 |
"learning_rate": 0.00011576086956521739,
|
256 |
-
"loss": 0.
|
257 |
"step": 310
|
258 |
},
|
259 |
{
|
260 |
"epoch": 0.87,
|
261 |
"learning_rate": 0.00011304347826086956,
|
262 |
-
"loss": 0.
|
263 |
"step": 320
|
264 |
},
|
265 |
{
|
266 |
"epoch": 0.87,
|
267 |
-
"eval_accuracy": 0.
|
268 |
-
"eval_loss": 0.
|
269 |
-
"eval_runtime":
|
270 |
-
"eval_samples_per_second":
|
271 |
-
"eval_steps_per_second": 5.
|
272 |
"step": 320
|
273 |
},
|
274 |
{
|
275 |
"epoch": 0.9,
|
276 |
"learning_rate": 0.00011032608695652174,
|
277 |
-
"loss": 0.
|
278 |
"step": 330
|
279 |
},
|
280 |
{
|
281 |
"epoch": 0.92,
|
282 |
"learning_rate": 0.0001076086956521739,
|
283 |
-
"loss": 0.
|
284 |
"step": 340
|
285 |
},
|
286 |
{
|
287 |
"epoch": 0.95,
|
288 |
"learning_rate": 0.0001048913043478261,
|
289 |
-
"loss": 0.
|
290 |
"step": 350
|
291 |
},
|
292 |
{
|
293 |
"epoch": 0.98,
|
294 |
"learning_rate": 0.00010217391304347828,
|
295 |
-
"loss": 0.
|
296 |
"step": 360
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.98,
|
300 |
-
"eval_accuracy": 0.
|
301 |
-
"eval_loss": 0.
|
302 |
-
"eval_runtime":
|
303 |
-
"eval_samples_per_second":
|
304 |
-
"eval_steps_per_second": 5.
|
305 |
"step": 360
|
306 |
},
|
307 |
{
|
308 |
"epoch": 1.01,
|
309 |
"learning_rate": 9.945652173913043e-05,
|
310 |
-
"loss": 0.
|
311 |
"step": 370
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.03,
|
315 |
"learning_rate": 9.673913043478261e-05,
|
316 |
-
"loss": 0.
|
317 |
"step": 380
|
318 |
},
|
319 |
{
|
320 |
"epoch": 1.06,
|
321 |
"learning_rate": 9.402173913043478e-05,
|
322 |
-
"loss": 0.
|
323 |
"step": 390
|
324 |
},
|
325 |
{
|
326 |
"epoch": 1.09,
|
327 |
"learning_rate": 9.130434782608696e-05,
|
328 |
-
"loss": 0.
|
329 |
"step": 400
|
330 |
},
|
331 |
{
|
332 |
"epoch": 1.09,
|
333 |
-
"eval_accuracy": 0.
|
334 |
-
"eval_loss": 0.
|
335 |
-
"eval_runtime":
|
336 |
-
"eval_samples_per_second":
|
337 |
-
"eval_steps_per_second": 5.
|
338 |
"step": 400
|
339 |
},
|
340 |
{
|
341 |
"epoch": 1.11,
|
342 |
"learning_rate": 8.858695652173914e-05,
|
343 |
-
"loss": 0.
|
344 |
"step": 410
|
345 |
},
|
346 |
{
|
347 |
"epoch": 1.14,
|
348 |
"learning_rate": 8.586956521739131e-05,
|
349 |
-
"loss": 0.
|
350 |
"step": 420
|
351 |
},
|
352 |
{
|
353 |
"epoch": 1.17,
|
354 |
"learning_rate": 8.315217391304349e-05,
|
355 |
-
"loss": 0.
|
356 |
"step": 430
|
357 |
},
|
358 |
{
|
359 |
"epoch": 1.2,
|
360 |
"learning_rate": 8.043478260869566e-05,
|
361 |
-
"loss": 0.
|
362 |
"step": 440
|
363 |
},
|
364 |
{
|
365 |
"epoch": 1.2,
|
366 |
-
"eval_accuracy": 0.
|
367 |
-
"eval_loss": 0.
|
368 |
-
"eval_runtime":
|
369 |
-
"eval_samples_per_second":
|
370 |
-
"eval_steps_per_second":
|
371 |
"step": 440
|
372 |
},
|
373 |
{
|
374 |
"epoch": 1.22,
|
375 |
"learning_rate": 7.771739130434783e-05,
|
376 |
-
"loss": 0.
|
377 |
"step": 450
|
378 |
},
|
379 |
{
|
380 |
"epoch": 1.25,
|
381 |
"learning_rate": 7.500000000000001e-05,
|
382 |
-
"loss": 0.
|
383 |
"step": 460
|
384 |
},
|
385 |
{
|
386 |
"epoch": 1.28,
|
387 |
"learning_rate": 7.228260869565217e-05,
|
388 |
-
"loss": 0.
|
389 |
"step": 470
|
390 |
},
|
391 |
{
|
392 |
"epoch": 1.3,
|
393 |
"learning_rate": 6.956521739130436e-05,
|
394 |
-
"loss": 0.
|
395 |
"step": 480
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.3,
|
399 |
-
"eval_accuracy": 0.
|
400 |
-
"eval_loss": 0.
|
401 |
-
"eval_runtime":
|
402 |
-
"eval_samples_per_second":
|
403 |
-
"eval_steps_per_second": 5.
|
404 |
"step": 480
|
405 |
},
|
406 |
{
|
407 |
"epoch": 1.33,
|
408 |
"learning_rate": 6.684782608695652e-05,
|
409 |
-
"loss": 0.
|
410 |
"step": 490
|
411 |
},
|
412 |
{
|
413 |
"epoch": 1.36,
|
414 |
"learning_rate": 6.413043478260869e-05,
|
415 |
-
"loss": 0.
|
416 |
"step": 500
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.39,
|
420 |
"learning_rate": 6.141304347826087e-05,
|
421 |
-
"loss": 0.
|
422 |
"step": 510
|
423 |
},
|
424 |
{
|
425 |
"epoch": 1.41,
|
426 |
"learning_rate": 5.869565217391305e-05,
|
427 |
-
"loss": 0.
|
428 |
"step": 520
|
429 |
},
|
430 |
{
|
431 |
"epoch": 1.41,
|
432 |
"eval_accuracy": 0.9727520435967303,
|
433 |
-
"eval_loss": 0.
|
434 |
-
"eval_runtime": 17.
|
435 |
-
"eval_samples_per_second":
|
436 |
-
"eval_steps_per_second": 5.
|
437 |
"step": 520
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.44,
|
441 |
"learning_rate": 5.5978260869565226e-05,
|
442 |
-
"loss": 0.
|
443 |
"step": 530
|
444 |
},
|
445 |
{
|
446 |
"epoch": 1.47,
|
447 |
"learning_rate": 5.32608695652174e-05,
|
448 |
-
"loss": 0.
|
449 |
"step": 540
|
450 |
},
|
451 |
{
|
452 |
"epoch": 1.49,
|
453 |
"learning_rate": 5.054347826086957e-05,
|
454 |
-
"loss": 0.
|
455 |
"step": 550
|
456 |
},
|
457 |
{
|
458 |
"epoch": 1.52,
|
459 |
"learning_rate": 4.782608695652174e-05,
|
460 |
-
"loss": 0.
|
461 |
"step": 560
|
462 |
},
|
463 |
{
|
464 |
"epoch": 1.52,
|
465 |
"eval_accuracy": 0.9754768392370572,
|
466 |
-
"eval_loss": 0.
|
467 |
-
"eval_runtime":
|
468 |
-
"eval_samples_per_second":
|
469 |
-
"eval_steps_per_second": 5.
|
470 |
"step": 560
|
471 |
},
|
472 |
{
|
473 |
"epoch": 1.55,
|
474 |
"learning_rate": 4.5108695652173916e-05,
|
475 |
-
"loss": 0.
|
476 |
"step": 570
|
477 |
},
|
478 |
{
|
479 |
"epoch": 1.58,
|
480 |
"learning_rate": 4.239130434782609e-05,
|
481 |
-
"loss": 0.
|
482 |
"step": 580
|
483 |
},
|
484 |
{
|
485 |
"epoch": 1.6,
|
486 |
"learning_rate": 3.9673913043478264e-05,
|
487 |
-
"loss": 0.
|
488 |
"step": 590
|
489 |
},
|
490 |
{
|
491 |
"epoch": 1.63,
|
492 |
"learning_rate": 3.695652173913043e-05,
|
493 |
-
"loss": 0.
|
494 |
"step": 600
|
495 |
},
|
496 |
{
|
497 |
"epoch": 1.63,
|
498 |
-
"eval_accuracy": 0.
|
499 |
-
"eval_loss": 0.
|
500 |
-
"eval_runtime":
|
501 |
-
"eval_samples_per_second":
|
502 |
-
"eval_steps_per_second":
|
503 |
"step": 600
|
504 |
},
|
505 |
{
|
506 |
"epoch": 1.66,
|
507 |
"learning_rate": 3.423913043478261e-05,
|
508 |
-
"loss": 0.
|
509 |
"step": 610
|
510 |
},
|
511 |
{
|
512 |
"epoch": 1.68,
|
513 |
"learning_rate": 3.152173913043479e-05,
|
514 |
-
"loss": 0.
|
515 |
"step": 620
|
516 |
},
|
517 |
{
|
518 |
"epoch": 1.71,
|
519 |
"learning_rate": 2.8804347826086957e-05,
|
520 |
-
"loss": 0.
|
521 |
"step": 630
|
522 |
},
|
523 |
{
|
524 |
"epoch": 1.74,
|
525 |
"learning_rate": 2.608695652173913e-05,
|
526 |
-
"loss": 0.
|
527 |
"step": 640
|
528 |
},
|
529 |
{
|
530 |
"epoch": 1.74,
|
531 |
-
"eval_accuracy": 0.
|
532 |
-
"eval_loss": 0.
|
533 |
-
"eval_runtime": 17.
|
534 |
-
"eval_samples_per_second": 42.
|
535 |
-
"eval_steps_per_second": 5.
|
536 |
"step": 640
|
537 |
},
|
538 |
{
|
539 |
"epoch": 1.77,
|
540 |
"learning_rate": 2.3369565217391306e-05,
|
541 |
-
"loss": 0.
|
542 |
"step": 650
|
543 |
},
|
544 |
{
|
545 |
"epoch": 1.79,
|
546 |
"learning_rate": 2.065217391304348e-05,
|
547 |
-
"loss": 0.
|
548 |
"step": 660
|
549 |
},
|
550 |
{
|
551 |
"epoch": 1.82,
|
552 |
"learning_rate": 1.793478260869565e-05,
|
553 |
-
"loss": 0.
|
554 |
"step": 670
|
555 |
},
|
556 |
{
|
557 |
"epoch": 1.85,
|
558 |
"learning_rate": 1.5217391304347828e-05,
|
559 |
-
"loss": 0.
|
560 |
"step": 680
|
561 |
},
|
562 |
{
|
563 |
"epoch": 1.85,
|
564 |
-
"eval_accuracy": 0.
|
565 |
-
"eval_loss": 0.
|
566 |
-
"eval_runtime":
|
567 |
-
"eval_samples_per_second":
|
568 |
-
"eval_steps_per_second": 5.
|
569 |
"step": 680
|
570 |
},
|
571 |
{
|
572 |
"epoch": 1.88,
|
573 |
"learning_rate": 1.25e-05,
|
574 |
-
"loss": 0.
|
575 |
"step": 690
|
576 |
},
|
577 |
{
|
578 |
"epoch": 1.9,
|
579 |
"learning_rate": 9.782608695652175e-06,
|
580 |
-
"loss": 0.
|
581 |
"step": 700
|
582 |
},
|
583 |
{
|
584 |
"epoch": 1.93,
|
585 |
"learning_rate": 7.065217391304347e-06,
|
586 |
-
"loss": 0.
|
587 |
"step": 710
|
588 |
},
|
589 |
{
|
590 |
"epoch": 1.96,
|
591 |
"learning_rate": 4.347826086956522e-06,
|
592 |
-
"loss": 0.
|
593 |
"step": 720
|
594 |
},
|
595 |
{
|
596 |
"epoch": 1.96,
|
597 |
-
"eval_accuracy": 0.
|
598 |
-
"eval_loss": 0.
|
599 |
-
"eval_runtime": 17.
|
600 |
-
"eval_samples_per_second":
|
601 |
-
"eval_steps_per_second": 5.
|
602 |
"step": 720
|
603 |
}
|
604 |
],
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.03899691626429558,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-720",
|
4 |
"epoch": 1.9565217391304348,
|
5 |
"global_step": 720,
|
6 |
"is_hyper_param_search": false,
|
|
|
10 |
{
|
11 |
"epoch": 0.03,
|
12 |
"learning_rate": 0.0001972826086956522,
|
13 |
+
"loss": 0.5574,
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.05,
|
18 |
"learning_rate": 0.00019456521739130434,
|
19 |
+
"loss": 0.3197,
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.08,
|
24 |
"learning_rate": 0.00019184782608695653,
|
25 |
+
"loss": 0.271,
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.11,
|
30 |
"learning_rate": 0.0001891304347826087,
|
31 |
+
"loss": 0.2484,
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.11,
|
36 |
+
"eval_accuracy": 0.8801089918256131,
|
37 |
+
"eval_loss": 0.21790249645709991,
|
38 |
+
"eval_runtime": 16.4161,
|
39 |
+
"eval_samples_per_second": 44.712,
|
40 |
+
"eval_steps_per_second": 5.604,
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
"epoch": 0.14,
|
45 |
"learning_rate": 0.0001864130434782609,
|
46 |
+
"loss": 0.2372,
|
47 |
"step": 50
|
48 |
},
|
49 |
{
|
50 |
"epoch": 0.16,
|
51 |
"learning_rate": 0.00018369565217391304,
|
52 |
+
"loss": 0.1945,
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
"epoch": 0.19,
|
57 |
"learning_rate": 0.00018097826086956522,
|
58 |
+
"loss": 0.2186,
|
59 |
"step": 70
|
60 |
},
|
61 |
{
|
62 |
"epoch": 0.22,
|
63 |
"learning_rate": 0.0001782608695652174,
|
64 |
+
"loss": 0.3033,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.22,
|
69 |
+
"eval_accuracy": 0.8678474114441417,
|
70 |
+
"eval_loss": 0.28713682293891907,
|
71 |
+
"eval_runtime": 18.6159,
|
72 |
+
"eval_samples_per_second": 39.429,
|
73 |
+
"eval_steps_per_second": 4.942,
|
74 |
"step": 80
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.24,
|
78 |
"learning_rate": 0.00017554347826086956,
|
79 |
+
"loss": 0.2893,
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.27,
|
84 |
"learning_rate": 0.00017282608695652174,
|
85 |
+
"loss": 0.3135,
|
86 |
"step": 100
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.3,
|
90 |
"learning_rate": 0.00017010869565217392,
|
91 |
+
"loss": 0.2673,
|
92 |
"step": 110
|
93 |
},
|
94 |
{
|
95 |
"epoch": 0.33,
|
96 |
"learning_rate": 0.0001673913043478261,
|
97 |
+
"loss": 0.2709,
|
98 |
"step": 120
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.33,
|
102 |
+
"eval_accuracy": 0.9073569482288828,
|
103 |
+
"eval_loss": 0.23233647644519806,
|
104 |
+
"eval_runtime": 16.7819,
|
105 |
+
"eval_samples_per_second": 43.738,
|
106 |
+
"eval_steps_per_second": 5.482,
|
107 |
"step": 120
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.35,
|
111 |
"learning_rate": 0.00016467391304347828,
|
112 |
+
"loss": 0.2171,
|
113 |
"step": 130
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.38,
|
117 |
"learning_rate": 0.00016195652173913046,
|
118 |
+
"loss": 0.2393,
|
119 |
"step": 140
|
120 |
},
|
121 |
{
|
122 |
"epoch": 0.41,
|
123 |
"learning_rate": 0.00015923913043478262,
|
124 |
+
"loss": 0.1934,
|
125 |
"step": 150
|
126 |
},
|
127 |
{
|
128 |
"epoch": 0.43,
|
129 |
"learning_rate": 0.0001565217391304348,
|
130 |
+
"loss": 0.1878,
|
131 |
"step": 160
|
132 |
},
|
133 |
{
|
134 |
"epoch": 0.43,
|
135 |
+
"eval_accuracy": 0.9318801089918256,
|
136 |
+
"eval_loss": 0.1636728048324585,
|
137 |
+
"eval_runtime": 16.6111,
|
138 |
+
"eval_samples_per_second": 44.187,
|
139 |
+
"eval_steps_per_second": 5.538,
|
140 |
"step": 160
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.46,
|
144 |
"learning_rate": 0.00015380434782608698,
|
145 |
+
"loss": 0.2186,
|
146 |
"step": 170
|
147 |
},
|
148 |
{
|
149 |
"epoch": 0.49,
|
150 |
"learning_rate": 0.00015108695652173913,
|
151 |
+
"loss": 0.1952,
|
152 |
"step": 180
|
153 |
},
|
154 |
{
|
155 |
"epoch": 0.52,
|
156 |
"learning_rate": 0.0001483695652173913,
|
157 |
+
"loss": 0.1546,
|
158 |
"step": 190
|
159 |
},
|
160 |
{
|
161 |
"epoch": 0.54,
|
162 |
"learning_rate": 0.0001456521739130435,
|
163 |
+
"loss": 0.1655,
|
164 |
"step": 200
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.54,
|
168 |
+
"eval_accuracy": 0.8678474114441417,
|
169 |
+
"eval_loss": 0.24226485192775726,
|
170 |
+
"eval_runtime": 17.096,
|
171 |
+
"eval_samples_per_second": 42.934,
|
172 |
+
"eval_steps_per_second": 5.381,
|
173 |
"step": 200
|
174 |
},
|
175 |
{
|
176 |
"epoch": 0.57,
|
177 |
"learning_rate": 0.00014293478260869567,
|
178 |
+
"loss": 0.1843,
|
179 |
"step": 210
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.6,
|
183 |
"learning_rate": 0.00014021739130434783,
|
184 |
+
"loss": 0.12,
|
185 |
"step": 220
|
186 |
},
|
187 |
{
|
188 |
"epoch": 0.62,
|
189 |
"learning_rate": 0.0001375,
|
190 |
+
"loss": 0.1686,
|
191 |
"step": 230
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.65,
|
195 |
"learning_rate": 0.0001347826086956522,
|
196 |
+
"loss": 0.2393,
|
197 |
"step": 240
|
198 |
},
|
199 |
{
|
200 |
"epoch": 0.65,
|
201 |
+
"eval_accuracy": 0.94141689373297,
|
202 |
+
"eval_loss": 0.1487017571926117,
|
203 |
+
"eval_runtime": 16.7397,
|
204 |
+
"eval_samples_per_second": 43.848,
|
205 |
+
"eval_steps_per_second": 5.496,
|
206 |
"step": 240
|
207 |
},
|
208 |
{
|
209 |
"epoch": 0.68,
|
210 |
"learning_rate": 0.00013206521739130434,
|
211 |
+
"loss": 0.2159,
|
212 |
"step": 250
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.71,
|
216 |
"learning_rate": 0.00012934782608695652,
|
217 |
+
"loss": 0.1608,
|
218 |
"step": 260
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.73,
|
222 |
"learning_rate": 0.0001266304347826087,
|
223 |
+
"loss": 0.1508,
|
224 |
"step": 270
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.76,
|
228 |
"learning_rate": 0.00012391304347826086,
|
229 |
+
"loss": 0.1432,
|
230 |
"step": 280
|
231 |
},
|
232 |
{
|
233 |
"epoch": 0.76,
|
234 |
+
"eval_accuracy": 0.9209809264305178,
|
235 |
+
"eval_loss": 0.1679653823375702,
|
236 |
+
"eval_runtime": 19.1578,
|
237 |
+
"eval_samples_per_second": 38.313,
|
238 |
+
"eval_steps_per_second": 4.802,
|
239 |
"step": 280
|
240 |
},
|
241 |
{
|
242 |
"epoch": 0.79,
|
243 |
"learning_rate": 0.00012119565217391304,
|
244 |
+
"loss": 0.1852,
|
245 |
"step": 290
|
246 |
},
|
247 |
{
|
248 |
"epoch": 0.82,
|
249 |
"learning_rate": 0.00011847826086956522,
|
250 |
+
"loss": 0.1845,
|
251 |
"step": 300
|
252 |
},
|
253 |
{
|
254 |
"epoch": 0.84,
|
255 |
"learning_rate": 0.00011576086956521739,
|
256 |
+
"loss": 0.1238,
|
257 |
"step": 310
|
258 |
},
|
259 |
{
|
260 |
"epoch": 0.87,
|
261 |
"learning_rate": 0.00011304347826086956,
|
262 |
+
"loss": 0.0986,
|
263 |
"step": 320
|
264 |
},
|
265 |
{
|
266 |
"epoch": 0.87,
|
267 |
+
"eval_accuracy": 0.9604904632152589,
|
268 |
+
"eval_loss": 0.11554770916700363,
|
269 |
+
"eval_runtime": 16.799,
|
270 |
+
"eval_samples_per_second": 43.693,
|
271 |
+
"eval_steps_per_second": 5.477,
|
272 |
"step": 320
|
273 |
},
|
274 |
{
|
275 |
"epoch": 0.9,
|
276 |
"learning_rate": 0.00011032608695652174,
|
277 |
+
"loss": 0.1781,
|
278 |
"step": 330
|
279 |
},
|
280 |
{
|
281 |
"epoch": 0.92,
|
282 |
"learning_rate": 0.0001076086956521739,
|
283 |
+
"loss": 0.1229,
|
284 |
"step": 340
|
285 |
},
|
286 |
{
|
287 |
"epoch": 0.95,
|
288 |
"learning_rate": 0.0001048913043478261,
|
289 |
+
"loss": 0.1238,
|
290 |
"step": 350
|
291 |
},
|
292 |
{
|
293 |
"epoch": 0.98,
|
294 |
"learning_rate": 0.00010217391304347828,
|
295 |
+
"loss": 0.0729,
|
296 |
"step": 360
|
297 |
},
|
298 |
{
|
299 |
"epoch": 0.98,
|
300 |
+
"eval_accuracy": 0.9577656675749319,
|
301 |
+
"eval_loss": 0.10841722786426544,
|
302 |
+
"eval_runtime": 17.3667,
|
303 |
+
"eval_samples_per_second": 42.265,
|
304 |
+
"eval_steps_per_second": 5.297,
|
305 |
"step": 360
|
306 |
},
|
307 |
{
|
308 |
"epoch": 1.01,
|
309 |
"learning_rate": 9.945652173913043e-05,
|
310 |
+
"loss": 0.1156,
|
311 |
"step": 370
|
312 |
},
|
313 |
{
|
314 |
"epoch": 1.03,
|
315 |
"learning_rate": 9.673913043478261e-05,
|
316 |
+
"loss": 0.0934,
|
317 |
"step": 380
|
318 |
},
|
319 |
{
|
320 |
"epoch": 1.06,
|
321 |
"learning_rate": 9.402173913043478e-05,
|
322 |
+
"loss": 0.082,
|
323 |
"step": 390
|
324 |
},
|
325 |
{
|
326 |
"epoch": 1.09,
|
327 |
"learning_rate": 9.130434782608696e-05,
|
328 |
+
"loss": 0.0553,
|
329 |
"step": 400
|
330 |
},
|
331 |
{
|
332 |
"epoch": 1.09,
|
333 |
+
"eval_accuracy": 0.9632152588555858,
|
334 |
+
"eval_loss": 0.09444452077150345,
|
335 |
+
"eval_runtime": 16.7805,
|
336 |
+
"eval_samples_per_second": 43.741,
|
337 |
+
"eval_steps_per_second": 5.483,
|
338 |
"step": 400
|
339 |
},
|
340 |
{
|
341 |
"epoch": 1.11,
|
342 |
"learning_rate": 8.858695652173914e-05,
|
343 |
+
"loss": 0.1067,
|
344 |
"step": 410
|
345 |
},
|
346 |
{
|
347 |
"epoch": 1.14,
|
348 |
"learning_rate": 8.586956521739131e-05,
|
349 |
+
"loss": 0.0544,
|
350 |
"step": 420
|
351 |
},
|
352 |
{
|
353 |
"epoch": 1.17,
|
354 |
"learning_rate": 8.315217391304349e-05,
|
355 |
+
"loss": 0.1047,
|
356 |
"step": 430
|
357 |
},
|
358 |
{
|
359 |
"epoch": 1.2,
|
360 |
"learning_rate": 8.043478260869566e-05,
|
361 |
+
"loss": 0.0395,
|
362 |
"step": 440
|
363 |
},
|
364 |
{
|
365 |
"epoch": 1.2,
|
366 |
+
"eval_accuracy": 0.9673024523160763,
|
367 |
+
"eval_loss": 0.07385484129190445,
|
368 |
+
"eval_runtime": 17.3745,
|
369 |
+
"eval_samples_per_second": 42.246,
|
370 |
+
"eval_steps_per_second": 5.295,
|
371 |
"step": 440
|
372 |
},
|
373 |
{
|
374 |
"epoch": 1.22,
|
375 |
"learning_rate": 7.771739130434783e-05,
|
376 |
+
"loss": 0.0566,
|
377 |
"step": 450
|
378 |
},
|
379 |
{
|
380 |
"epoch": 1.25,
|
381 |
"learning_rate": 7.500000000000001e-05,
|
382 |
+
"loss": 0.0625,
|
383 |
"step": 460
|
384 |
},
|
385 |
{
|
386 |
"epoch": 1.28,
|
387 |
"learning_rate": 7.228260869565217e-05,
|
388 |
+
"loss": 0.0961,
|
389 |
"step": 470
|
390 |
},
|
391 |
{
|
392 |
"epoch": 1.3,
|
393 |
"learning_rate": 6.956521739130436e-05,
|
394 |
+
"loss": 0.0178,
|
395 |
"step": 480
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.3,
|
399 |
+
"eval_accuracy": 0.9673024523160763,
|
400 |
+
"eval_loss": 0.10838904976844788,
|
401 |
+
"eval_runtime": 16.8091,
|
402 |
+
"eval_samples_per_second": 43.667,
|
403 |
+
"eval_steps_per_second": 5.473,
|
404 |
"step": 480
|
405 |
},
|
406 |
{
|
407 |
"epoch": 1.33,
|
408 |
"learning_rate": 6.684782608695652e-05,
|
409 |
+
"loss": 0.0641,
|
410 |
"step": 490
|
411 |
},
|
412 |
{
|
413 |
"epoch": 1.36,
|
414 |
"learning_rate": 6.413043478260869e-05,
|
415 |
+
"loss": 0.0497,
|
416 |
"step": 500
|
417 |
},
|
418 |
{
|
419 |
"epoch": 1.39,
|
420 |
"learning_rate": 6.141304347826087e-05,
|
421 |
+
"loss": 0.0364,
|
422 |
"step": 510
|
423 |
},
|
424 |
{
|
425 |
"epoch": 1.41,
|
426 |
"learning_rate": 5.869565217391305e-05,
|
427 |
+
"loss": 0.0273,
|
428 |
"step": 520
|
429 |
},
|
430 |
{
|
431 |
"epoch": 1.41,
|
432 |
"eval_accuracy": 0.9727520435967303,
|
433 |
+
"eval_loss": 0.07216904312372208,
|
434 |
+
"eval_runtime": 17.0234,
|
435 |
+
"eval_samples_per_second": 43.117,
|
436 |
+
"eval_steps_per_second": 5.404,
|
437 |
"step": 520
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.44,
|
441 |
"learning_rate": 5.5978260869565226e-05,
|
442 |
+
"loss": 0.0558,
|
443 |
"step": 530
|
444 |
},
|
445 |
{
|
446 |
"epoch": 1.47,
|
447 |
"learning_rate": 5.32608695652174e-05,
|
448 |
+
"loss": 0.0379,
|
449 |
"step": 540
|
450 |
},
|
451 |
{
|
452 |
"epoch": 1.49,
|
453 |
"learning_rate": 5.054347826086957e-05,
|
454 |
+
"loss": 0.0569,
|
455 |
"step": 550
|
456 |
},
|
457 |
{
|
458 |
"epoch": 1.52,
|
459 |
"learning_rate": 4.782608695652174e-05,
|
460 |
+
"loss": 0.0273,
|
461 |
"step": 560
|
462 |
},
|
463 |
{
|
464 |
"epoch": 1.52,
|
465 |
"eval_accuracy": 0.9754768392370572,
|
466 |
+
"eval_loss": 0.0689365416765213,
|
467 |
+
"eval_runtime": 16.7035,
|
468 |
+
"eval_samples_per_second": 43.943,
|
469 |
+
"eval_steps_per_second": 5.508,
|
470 |
"step": 560
|
471 |
},
|
472 |
{
|
473 |
"epoch": 1.55,
|
474 |
"learning_rate": 4.5108695652173916e-05,
|
475 |
+
"loss": 0.0087,
|
476 |
"step": 570
|
477 |
},
|
478 |
{
|
479 |
"epoch": 1.58,
|
480 |
"learning_rate": 4.239130434782609e-05,
|
481 |
+
"loss": 0.0347,
|
482 |
"step": 580
|
483 |
},
|
484 |
{
|
485 |
"epoch": 1.6,
|
486 |
"learning_rate": 3.9673913043478264e-05,
|
487 |
+
"loss": 0.0196,
|
488 |
"step": 590
|
489 |
},
|
490 |
{
|
491 |
"epoch": 1.63,
|
492 |
"learning_rate": 3.695652173913043e-05,
|
493 |
+
"loss": 0.0271,
|
494 |
"step": 600
|
495 |
},
|
496 |
{
|
497 |
"epoch": 1.63,
|
498 |
+
"eval_accuracy": 0.9795640326975477,
|
499 |
+
"eval_loss": 0.07317620515823364,
|
500 |
+
"eval_runtime": 16.8063,
|
501 |
+
"eval_samples_per_second": 43.674,
|
502 |
+
"eval_steps_per_second": 5.474,
|
503 |
"step": 600
|
504 |
},
|
505 |
{
|
506 |
"epoch": 1.66,
|
507 |
"learning_rate": 3.423913043478261e-05,
|
508 |
+
"loss": 0.0951,
|
509 |
"step": 610
|
510 |
},
|
511 |
{
|
512 |
"epoch": 1.68,
|
513 |
"learning_rate": 3.152173913043479e-05,
|
514 |
+
"loss": 0.0726,
|
515 |
"step": 620
|
516 |
},
|
517 |
{
|
518 |
"epoch": 1.71,
|
519 |
"learning_rate": 2.8804347826086957e-05,
|
520 |
+
"loss": 0.01,
|
521 |
"step": 630
|
522 |
},
|
523 |
{
|
524 |
"epoch": 1.74,
|
525 |
"learning_rate": 2.608695652173913e-05,
|
526 |
+
"loss": 0.0294,
|
527 |
"step": 640
|
528 |
},
|
529 |
{
|
530 |
"epoch": 1.74,
|
531 |
+
"eval_accuracy": 0.9822888283378747,
|
532 |
+
"eval_loss": 0.057586103677749634,
|
533 |
+
"eval_runtime": 17.373,
|
534 |
+
"eval_samples_per_second": 42.249,
|
535 |
+
"eval_steps_per_second": 5.296,
|
536 |
"step": 640
|
537 |
},
|
538 |
{
|
539 |
"epoch": 1.77,
|
540 |
"learning_rate": 2.3369565217391306e-05,
|
541 |
+
"loss": 0.017,
|
542 |
"step": 650
|
543 |
},
|
544 |
{
|
545 |
"epoch": 1.79,
|
546 |
"learning_rate": 2.065217391304348e-05,
|
547 |
+
"loss": 0.0271,
|
548 |
"step": 660
|
549 |
},
|
550 |
{
|
551 |
"epoch": 1.82,
|
552 |
"learning_rate": 1.793478260869565e-05,
|
553 |
+
"loss": 0.0572,
|
554 |
"step": 670
|
555 |
},
|
556 |
{
|
557 |
"epoch": 1.85,
|
558 |
"learning_rate": 1.5217391304347828e-05,
|
559 |
+
"loss": 0.0449,
|
560 |
"step": 680
|
561 |
},
|
562 |
{
|
563 |
"epoch": 1.85,
|
564 |
+
"eval_accuracy": 0.9877384196185286,
|
565 |
+
"eval_loss": 0.04121558368206024,
|
566 |
+
"eval_runtime": 16.5738,
|
567 |
+
"eval_samples_per_second": 44.287,
|
568 |
+
"eval_steps_per_second": 5.551,
|
569 |
"step": 680
|
570 |
},
|
571 |
{
|
572 |
"epoch": 1.88,
|
573 |
"learning_rate": 1.25e-05,
|
574 |
+
"loss": 0.0261,
|
575 |
"step": 690
|
576 |
},
|
577 |
{
|
578 |
"epoch": 1.9,
|
579 |
"learning_rate": 9.782608695652175e-06,
|
580 |
+
"loss": 0.0091,
|
581 |
"step": 700
|
582 |
},
|
583 |
{
|
584 |
"epoch": 1.93,
|
585 |
"learning_rate": 7.065217391304347e-06,
|
586 |
+
"loss": 0.0799,
|
587 |
"step": 710
|
588 |
},
|
589 |
{
|
590 |
"epoch": 1.96,
|
591 |
"learning_rate": 4.347826086956522e-06,
|
592 |
+
"loss": 0.0076,
|
593 |
"step": 720
|
594 |
},
|
595 |
{
|
596 |
"epoch": 1.96,
|
597 |
+
"eval_accuracy": 0.9877384196185286,
|
598 |
+
"eval_loss": 0.03899691626429558,
|
599 |
+
"eval_runtime": 17.1545,
|
600 |
+
"eval_samples_per_second": 42.788,
|
601 |
+
"eval_steps_per_second": 5.363,
|
602 |
"step": 720
|
603 |
}
|
604 |
],
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3963
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29d42765cdc82ba9c501fd08fe3051fcacc5260575abfef3749cf9ec8c08e6be
|
3 |
size 3963
|