Upload folder using huggingface_hub
Browse files- checkpoint-31974/model.safetensors +1 -1
- checkpoint-31974/optimizer.pt +1 -1
- checkpoint-31974/scheduler.pt +1 -1
- checkpoint-31974/trainer_state.json +226 -226
- checkpoint-31974/training_args.bin +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
checkpoint-31974/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343387012
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f264162406cd17fcf0599f6f7c0ad35e95c7d2759c1a4c22c1c88689bb6fea6
|
3 |
size 343387012
|
checkpoint-31974/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 686894469
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fac87579cac35eebed50d1dde6502cefc1af83f7d4d7e492ea24913c02bac8bb
|
3 |
size 686894469
|
checkpoint-31974/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 627
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ea9c551fd44ddc8ddfa398002e02443e4ff95bea8a77387c173af1507fc08e78
|
3 |
size 627
|
checkpoint-31974/trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
"best_model_checkpoint": "car_brands_image_detection/checkpoint-31974",
|
4 |
"epoch": 6.0,
|
5 |
"eval_steps": 500,
|
@@ -10,503 +10,503 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.09382623381497467,
|
13 |
-
"grad_norm": 1.
|
14 |
-
"learning_rate":
|
15 |
-
"loss":
|
16 |
"step": 500
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.18765246762994933,
|
20 |
-
"grad_norm": 1.
|
21 |
-
"learning_rate":
|
22 |
-
"loss": 3.
|
23 |
"step": 1000
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.281478701444924,
|
27 |
-
"grad_norm": 1.
|
28 |
-
"learning_rate":
|
29 |
-
"loss": 3.
|
30 |
"step": 1500
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.37530493525989866,
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate":
|
36 |
-
"loss": 3.
|
37 |
"step": 2000
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.46913116907487334,
|
41 |
-
"grad_norm":
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 3.
|
44 |
"step": 2500
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.562957402889848,
|
48 |
-
"grad_norm":
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 3.
|
51 |
"step": 3000
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.6567836367048226,
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate":
|
57 |
-
"loss": 3.
|
58 |
"step": 3500
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.7506098705197973,
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 3.
|
65 |
"step": 4000
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.844436104334772,
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 3.
|
72 |
"step": 4500
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.9382623381497467,
|
76 |
-
"grad_norm":
|
77 |
-
"learning_rate":
|
78 |
-
"loss":
|
79 |
"step": 5000
|
80 |
},
|
81 |
{
|
82 |
"epoch": 1.0,
|
83 |
-
"eval_accuracy": 0.
|
84 |
-
"eval_loss":
|
85 |
-
"eval_model_preparation_time": 0.
|
86 |
-
"eval_runtime":
|
87 |
-
"eval_samples_per_second":
|
88 |
-
"eval_steps_per_second": 12.
|
89 |
"step": 5329
|
90 |
},
|
91 |
{
|
92 |
"epoch": 1.0320885719647213,
|
93 |
-
"grad_norm":
|
94 |
-
"learning_rate":
|
95 |
-
"loss":
|
96 |
"step": 5500
|
97 |
},
|
98 |
{
|
99 |
"epoch": 1.125914805779696,
|
100 |
-
"grad_norm":
|
101 |
-
"learning_rate":
|
102 |
-
"loss":
|
103 |
"step": 6000
|
104 |
},
|
105 |
{
|
106 |
"epoch": 1.2197410395946706,
|
107 |
-
"grad_norm":
|
108 |
-
"learning_rate":
|
109 |
-
"loss":
|
110 |
"step": 6500
|
111 |
},
|
112 |
{
|
113 |
"epoch": 1.3135672734096453,
|
114 |
-
"grad_norm":
|
115 |
-
"learning_rate":
|
116 |
-
"loss":
|
117 |
"step": 7000
|
118 |
},
|
119 |
{
|
120 |
"epoch": 1.40739350722462,
|
121 |
-
"grad_norm":
|
122 |
-
"learning_rate":
|
123 |
-
"loss":
|
124 |
"step": 7500
|
125 |
},
|
126 |
{
|
127 |
"epoch": 1.5012197410395947,
|
128 |
-
"grad_norm":
|
129 |
-
"learning_rate":
|
130 |
-
"loss":
|
131 |
"step": 8000
|
132 |
},
|
133 |
{
|
134 |
"epoch": 1.5950459748545693,
|
135 |
-
"grad_norm":
|
136 |
-
"learning_rate":
|
137 |
-
"loss":
|
138 |
"step": 8500
|
139 |
},
|
140 |
{
|
141 |
"epoch": 1.688872208669544,
|
142 |
-
"grad_norm":
|
143 |
-
"learning_rate":
|
144 |
-
"loss":
|
145 |
"step": 9000
|
146 |
},
|
147 |
{
|
148 |
"epoch": 1.7826984424845187,
|
149 |
-
"grad_norm":
|
150 |
-
"learning_rate":
|
151 |
-
"loss":
|
152 |
"step": 9500
|
153 |
},
|
154 |
{
|
155 |
"epoch": 1.8765246762994934,
|
156 |
-
"grad_norm":
|
157 |
-
"learning_rate":
|
158 |
-
"loss":
|
159 |
"step": 10000
|
160 |
},
|
161 |
{
|
162 |
"epoch": 1.970350910114468,
|
163 |
-
"grad_norm":
|
164 |
-
"learning_rate":
|
165 |
-
"loss":
|
166 |
"step": 10500
|
167 |
},
|
168 |
{
|
169 |
"epoch": 2.0,
|
170 |
-
"eval_accuracy": 0.
|
171 |
-
"eval_loss":
|
172 |
-
"eval_model_preparation_time": 0.
|
173 |
-
"eval_runtime":
|
174 |
-
"eval_samples_per_second":
|
175 |
-
"eval_steps_per_second": 12.
|
176 |
"step": 10658
|
177 |
},
|
178 |
{
|
179 |
"epoch": 2.0641771439294425,
|
180 |
-
"grad_norm":
|
181 |
-
"learning_rate":
|
182 |
-
"loss":
|
183 |
"step": 11000
|
184 |
},
|
185 |
{
|
186 |
"epoch": 2.1580033777444174,
|
187 |
-
"grad_norm": 3.
|
188 |
-
"learning_rate":
|
189 |
-
"loss":
|
190 |
"step": 11500
|
191 |
},
|
192 |
{
|
193 |
"epoch": 2.251829611559392,
|
194 |
-
"grad_norm":
|
195 |
-
"learning_rate":
|
196 |
-
"loss":
|
197 |
"step": 12000
|
198 |
},
|
199 |
{
|
200 |
"epoch": 2.3456558453743668,
|
201 |
-
"grad_norm":
|
202 |
-
"learning_rate":
|
203 |
-
"loss":
|
204 |
"step": 12500
|
205 |
},
|
206 |
{
|
207 |
"epoch": 2.4394820791893412,
|
208 |
-
"grad_norm":
|
209 |
-
"learning_rate":
|
210 |
-
"loss":
|
211 |
"step": 13000
|
212 |
},
|
213 |
{
|
214 |
"epoch": 2.533308313004316,
|
215 |
-
"grad_norm":
|
216 |
-
"learning_rate":
|
217 |
-
"loss":
|
218 |
"step": 13500
|
219 |
},
|
220 |
{
|
221 |
"epoch": 2.6271345468192906,
|
222 |
-
"grad_norm":
|
223 |
-
"learning_rate":
|
224 |
-
"loss":
|
225 |
"step": 14000
|
226 |
},
|
227 |
{
|
228 |
"epoch": 2.7209607806342655,
|
229 |
-
"grad_norm":
|
230 |
-
"learning_rate":
|
231 |
-
"loss":
|
232 |
"step": 14500
|
233 |
},
|
234 |
{
|
235 |
"epoch": 2.81478701444924,
|
236 |
-
"grad_norm":
|
237 |
-
"learning_rate":
|
238 |
-
"loss":
|
239 |
"step": 15000
|
240 |
},
|
241 |
{
|
242 |
"epoch": 2.9086132482642144,
|
243 |
-
"grad_norm":
|
244 |
-
"learning_rate":
|
245 |
-
"loss":
|
246 |
"step": 15500
|
247 |
},
|
248 |
{
|
249 |
"epoch": 3.0,
|
250 |
-
"eval_accuracy": 0.
|
251 |
-
"eval_loss":
|
252 |
-
"eval_model_preparation_time": 0.
|
253 |
-
"eval_runtime":
|
254 |
-
"eval_samples_per_second":
|
255 |
-
"eval_steps_per_second": 12.
|
256 |
"step": 15987
|
257 |
},
|
258 |
{
|
259 |
"epoch": 3.0024394820791893,
|
260 |
-
"grad_norm":
|
261 |
-
"learning_rate":
|
262 |
-
"loss":
|
263 |
"step": 16000
|
264 |
},
|
265 |
{
|
266 |
"epoch": 3.096265715894164,
|
267 |
-
"grad_norm":
|
268 |
-
"learning_rate":
|
269 |
-
"loss":
|
270 |
"step": 16500
|
271 |
},
|
272 |
{
|
273 |
"epoch": 3.1900919497091387,
|
274 |
-
"grad_norm":
|
275 |
-
"learning_rate":
|
276 |
-
"loss":
|
277 |
"step": 17000
|
278 |
},
|
279 |
{
|
280 |
"epoch": 3.283918183524113,
|
281 |
-
"grad_norm":
|
282 |
-
"learning_rate":
|
283 |
-
"loss":
|
284 |
"step": 17500
|
285 |
},
|
286 |
{
|
287 |
"epoch": 3.377744417339088,
|
288 |
-
"grad_norm":
|
289 |
-
"learning_rate":
|
290 |
-
"loss":
|
291 |
"step": 18000
|
292 |
},
|
293 |
{
|
294 |
"epoch": 3.4715706511540625,
|
295 |
-
"grad_norm":
|
296 |
-
"learning_rate":
|
297 |
-
"loss":
|
298 |
"step": 18500
|
299 |
},
|
300 |
{
|
301 |
"epoch": 3.5653968849690374,
|
302 |
-
"grad_norm":
|
303 |
-
"learning_rate":
|
304 |
-
"loss":
|
305 |
"step": 19000
|
306 |
},
|
307 |
{
|
308 |
"epoch": 3.659223118784012,
|
309 |
-
"grad_norm":
|
310 |
-
"learning_rate":
|
311 |
-
"loss":
|
312 |
"step": 19500
|
313 |
},
|
314 |
{
|
315 |
"epoch": 3.7530493525989868,
|
316 |
-
"grad_norm":
|
317 |
-
"learning_rate":
|
318 |
-
"loss":
|
319 |
"step": 20000
|
320 |
},
|
321 |
{
|
322 |
"epoch": 3.846875586413961,
|
323 |
-
"grad_norm":
|
324 |
-
"learning_rate":
|
325 |
-
"loss":
|
326 |
"step": 20500
|
327 |
},
|
328 |
{
|
329 |
"epoch": 3.940701820228936,
|
330 |
-
"grad_norm":
|
331 |
-
"learning_rate":
|
332 |
-
"loss":
|
333 |
"step": 21000
|
334 |
},
|
335 |
{
|
336 |
"epoch": 4.0,
|
337 |
-
"eval_accuracy": 0.
|
338 |
-
"eval_loss":
|
339 |
-
"eval_model_preparation_time": 0.
|
340 |
-
"eval_runtime":
|
341 |
-
"eval_samples_per_second":
|
342 |
-
"eval_steps_per_second": 12.
|
343 |
"step": 21316
|
344 |
},
|
345 |
{
|
346 |
"epoch": 4.034528054043911,
|
347 |
-
"grad_norm":
|
348 |
-
"learning_rate":
|
349 |
-
"loss":
|
350 |
"step": 21500
|
351 |
},
|
352 |
{
|
353 |
"epoch": 4.128354287858885,
|
354 |
-
"grad_norm":
|
355 |
-
"learning_rate":
|
356 |
-
"loss":
|
357 |
"step": 22000
|
358 |
},
|
359 |
{
|
360 |
"epoch": 4.22218052167386,
|
361 |
-
"grad_norm":
|
362 |
-
"learning_rate":
|
363 |
-
"loss":
|
364 |
"step": 22500
|
365 |
},
|
366 |
{
|
367 |
"epoch": 4.316006755488835,
|
368 |
-
"grad_norm":
|
369 |
-
"learning_rate":
|
370 |
-
"loss":
|
371 |
"step": 23000
|
372 |
},
|
373 |
{
|
374 |
"epoch": 4.409832989303809,
|
375 |
-
"grad_norm":
|
376 |
-
"learning_rate":
|
377 |
-
"loss":
|
378 |
"step": 23500
|
379 |
},
|
380 |
{
|
381 |
"epoch": 4.503659223118784,
|
382 |
-
"grad_norm":
|
383 |
-
"learning_rate":
|
384 |
-
"loss":
|
385 |
"step": 24000
|
386 |
},
|
387 |
{
|
388 |
"epoch": 4.597485456933759,
|
389 |
-
"grad_norm":
|
390 |
-
"learning_rate":
|
391 |
-
"loss":
|
392 |
"step": 24500
|
393 |
},
|
394 |
{
|
395 |
"epoch": 4.6913116907487336,
|
396 |
-
"grad_norm":
|
397 |
-
"learning_rate":
|
398 |
-
"loss":
|
399 |
"step": 25000
|
400 |
},
|
401 |
{
|
402 |
"epoch": 4.785137924563708,
|
403 |
-
"grad_norm":
|
404 |
-
"learning_rate":
|
405 |
-
"loss":
|
406 |
"step": 25500
|
407 |
},
|
408 |
{
|
409 |
"epoch": 4.8789641583786825,
|
410 |
-
"grad_norm":
|
411 |
-
"learning_rate":
|
412 |
-
"loss":
|
413 |
"step": 26000
|
414 |
},
|
415 |
{
|
416 |
"epoch": 4.972790392193657,
|
417 |
-
"grad_norm":
|
418 |
-
"learning_rate":
|
419 |
-
"loss":
|
420 |
"step": 26500
|
421 |
},
|
422 |
{
|
423 |
"epoch": 5.0,
|
424 |
-
"eval_accuracy": 0.
|
425 |
-
"eval_loss":
|
426 |
-
"eval_model_preparation_time": 0.
|
427 |
-
"eval_runtime":
|
428 |
-
"eval_samples_per_second":
|
429 |
-
"eval_steps_per_second":
|
430 |
"step": 26645
|
431 |
},
|
432 |
{
|
433 |
"epoch": 5.066616626008632,
|
434 |
-
"grad_norm":
|
435 |
-
"learning_rate":
|
436 |
-
"loss":
|
437 |
"step": 27000
|
438 |
},
|
439 |
{
|
440 |
"epoch": 5.160442859823607,
|
441 |
-
"grad_norm":
|
442 |
-
"learning_rate":
|
443 |
-
"loss":
|
444 |
"step": 27500
|
445 |
},
|
446 |
{
|
447 |
"epoch": 5.254269093638581,
|
448 |
-
"grad_norm":
|
449 |
-
"learning_rate":
|
450 |
-
"loss":
|
451 |
"step": 28000
|
452 |
},
|
453 |
{
|
454 |
"epoch": 5.348095327453556,
|
455 |
-
"grad_norm":
|
456 |
-
"learning_rate":
|
457 |
-
"loss":
|
458 |
"step": 28500
|
459 |
},
|
460 |
{
|
461 |
"epoch": 5.441921561268531,
|
462 |
-
"grad_norm":
|
463 |
-
"learning_rate":
|
464 |
-
"loss":
|
465 |
"step": 29000
|
466 |
},
|
467 |
{
|
468 |
"epoch": 5.5357477950835055,
|
469 |
-
"grad_norm":
|
470 |
-
"learning_rate":
|
471 |
-
"loss":
|
472 |
"step": 29500
|
473 |
},
|
474 |
{
|
475 |
"epoch": 5.62957402889848,
|
476 |
-
"grad_norm":
|
477 |
-
"learning_rate":
|
478 |
-
"loss":
|
479 |
"step": 30000
|
480 |
},
|
481 |
{
|
482 |
"epoch": 5.723400262713454,
|
483 |
-
"grad_norm":
|
484 |
-
"learning_rate":
|
485 |
-
"loss":
|
486 |
"step": 30500
|
487 |
},
|
488 |
{
|
489 |
"epoch": 5.81722649652843,
|
490 |
-
"grad_norm":
|
491 |
-
"learning_rate":
|
492 |
-
"loss":
|
493 |
"step": 31000
|
494 |
},
|
495 |
{
|
496 |
"epoch": 5.911052730343404,
|
497 |
-
"grad_norm":
|
498 |
-
"learning_rate":
|
499 |
-
"loss":
|
500 |
"step": 31500
|
501 |
},
|
502 |
{
|
503 |
"epoch": 6.0,
|
504 |
-
"eval_accuracy": 0.
|
505 |
-
"eval_loss":
|
506 |
-
"eval_model_preparation_time": 0.
|
507 |
-
"eval_runtime":
|
508 |
-
"eval_samples_per_second": 104.
|
509 |
-
"eval_steps_per_second": 13.
|
510 |
"step": 31974
|
511 |
}
|
512 |
],
|
|
|
1 |
{
|
2 |
+
"best_metric": 1.374941349029541,
|
3 |
"best_model_checkpoint": "car_brands_image_detection/checkpoint-31974",
|
4 |
"epoch": 6.0,
|
5 |
"eval_steps": 500,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.09382623381497467,
|
13 |
+
"grad_norm": 1.4237160682678223,
|
14 |
+
"learning_rate": 4.929520110261872e-06,
|
15 |
+
"loss": 3.9691,
|
16 |
"step": 500
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.18765246762994933,
|
20 |
+
"grad_norm": 1.500626802444458,
|
21 |
+
"learning_rate": 4.8512091216639525e-06,
|
22 |
+
"loss": 3.8449,
|
23 |
"step": 1000
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.281478701444924,
|
27 |
+
"grad_norm": 1.6687654256820679,
|
28 |
+
"learning_rate": 4.7728981330660325e-06,
|
29 |
+
"loss": 3.6987,
|
30 |
"step": 1500
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.37530493525989866,
|
34 |
+
"grad_norm": 2.551961898803711,
|
35 |
+
"learning_rate": 4.694587144468113e-06,
|
36 |
+
"loss": 3.5622,
|
37 |
"step": 2000
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.46913116907487334,
|
41 |
+
"grad_norm": 2.852647542953491,
|
42 |
+
"learning_rate": 4.616276155870192e-06,
|
43 |
+
"loss": 3.4424,
|
44 |
"step": 2500
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.562957402889848,
|
48 |
+
"grad_norm": 2.4419143199920654,
|
49 |
+
"learning_rate": 4.537965167272272e-06,
|
50 |
+
"loss": 3.3403,
|
51 |
"step": 3000
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.6567836367048226,
|
55 |
+
"grad_norm": 2.429936647415161,
|
56 |
+
"learning_rate": 4.459654178674352e-06,
|
57 |
+
"loss": 3.2402,
|
58 |
"step": 3500
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.7506098705197973,
|
62 |
+
"grad_norm": 2.774019956588745,
|
63 |
+
"learning_rate": 4.381343190076432e-06,
|
64 |
+
"loss": 3.1484,
|
65 |
"step": 4000
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.844436104334772,
|
69 |
+
"grad_norm": 3.3507306575775146,
|
70 |
+
"learning_rate": 4.303032201478512e-06,
|
71 |
+
"loss": 3.0678,
|
72 |
"step": 4500
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.9382623381497467,
|
76 |
+
"grad_norm": 2.8889214992523193,
|
77 |
+
"learning_rate": 4.224721212880592e-06,
|
78 |
+
"loss": 2.9878,
|
79 |
"step": 5000
|
80 |
},
|
81 |
{
|
82 |
"epoch": 1.0,
|
83 |
+
"eval_accuracy": 0.4087302285483048,
|
84 |
+
"eval_loss": 2.9374125003814697,
|
85 |
+
"eval_model_preparation_time": 0.0053,
|
86 |
+
"eval_runtime": 1096.2596,
|
87 |
+
"eval_samples_per_second": 103.693,
|
88 |
+
"eval_steps_per_second": 12.962,
|
89 |
"step": 5329
|
90 |
},
|
91 |
{
|
92 |
"epoch": 1.0320885719647213,
|
93 |
+
"grad_norm": 3.342593193054199,
|
94 |
+
"learning_rate": 4.1464102242826715e-06,
|
95 |
+
"loss": 2.9069,
|
96 |
"step": 5500
|
97 |
},
|
98 |
{
|
99 |
"epoch": 1.125914805779696,
|
100 |
+
"grad_norm": 3.207279920578003,
|
101 |
+
"learning_rate": 4.0680992356847515e-06,
|
102 |
+
"loss": 2.8357,
|
103 |
"step": 6000
|
104 |
},
|
105 |
{
|
106 |
"epoch": 1.2197410395946706,
|
107 |
+
"grad_norm": 3.5192267894744873,
|
108 |
+
"learning_rate": 3.989788247086832e-06,
|
109 |
+
"loss": 2.7523,
|
110 |
"step": 6500
|
111 |
},
|
112 |
{
|
113 |
"epoch": 1.3135672734096453,
|
114 |
+
"grad_norm": 4.029764652252197,
|
115 |
+
"learning_rate": 3.911477258488912e-06,
|
116 |
+
"loss": 2.6941,
|
117 |
"step": 7000
|
118 |
},
|
119 |
{
|
120 |
"epoch": 1.40739350722462,
|
121 |
+
"grad_norm": 4.04934024810791,
|
122 |
+
"learning_rate": 3.833166269890992e-06,
|
123 |
+
"loss": 2.6166,
|
124 |
"step": 7500
|
125 |
},
|
126 |
{
|
127 |
"epoch": 1.5012197410395947,
|
128 |
+
"grad_norm": 5.199851989746094,
|
129 |
+
"learning_rate": 3.754855281293071e-06,
|
130 |
+
"loss": 2.5469,
|
131 |
"step": 8000
|
132 |
},
|
133 |
{
|
134 |
"epoch": 1.5950459748545693,
|
135 |
+
"grad_norm": 3.6607906818389893,
|
136 |
+
"learning_rate": 3.676544292695151e-06,
|
137 |
+
"loss": 2.4769,
|
138 |
"step": 8500
|
139 |
},
|
140 |
{
|
141 |
"epoch": 1.688872208669544,
|
142 |
+
"grad_norm": 4.265751361846924,
|
143 |
+
"learning_rate": 3.598233304097231e-06,
|
144 |
+
"loss": 2.4212,
|
145 |
"step": 9000
|
146 |
},
|
147 |
{
|
148 |
"epoch": 1.7826984424845187,
|
149 |
+
"grad_norm": 5.644491672515869,
|
150 |
+
"learning_rate": 3.5199223154993112e-06,
|
151 |
+
"loss": 2.3652,
|
152 |
"step": 9500
|
153 |
},
|
154 |
{
|
155 |
"epoch": 1.8765246762994934,
|
156 |
+
"grad_norm": 5.2569580078125,
|
157 |
+
"learning_rate": 3.4416113269013913e-06,
|
158 |
+
"loss": 2.2909,
|
159 |
"step": 10000
|
160 |
},
|
161 |
{
|
162 |
"epoch": 1.970350910114468,
|
163 |
+
"grad_norm": 6.754888534545898,
|
164 |
+
"learning_rate": 3.3633003383034714e-06,
|
165 |
+
"loss": 2.2504,
|
166 |
"step": 10500
|
167 |
},
|
168 |
{
|
169 |
"epoch": 2.0,
|
170 |
+
"eval_accuracy": 0.5390502665517181,
|
171 |
+
"eval_loss": 2.2533023357391357,
|
172 |
+
"eval_model_preparation_time": 0.0053,
|
173 |
+
"eval_runtime": 1104.9881,
|
174 |
+
"eval_samples_per_second": 102.874,
|
175 |
+
"eval_steps_per_second": 12.86,
|
176 |
"step": 10658
|
177 |
},
|
178 |
{
|
179 |
"epoch": 2.0641771439294425,
|
180 |
+
"grad_norm": 6.7972259521484375,
|
181 |
+
"learning_rate": 3.2849893497055506e-06,
|
182 |
+
"loss": 2.1715,
|
183 |
"step": 11000
|
184 |
},
|
185 |
{
|
186 |
"epoch": 2.1580033777444174,
|
187 |
+
"grad_norm": 3.576768398284912,
|
188 |
+
"learning_rate": 3.2066783611076307e-06,
|
189 |
+
"loss": 2.1279,
|
190 |
"step": 11500
|
191 |
},
|
192 |
{
|
193 |
"epoch": 2.251829611559392,
|
194 |
+
"grad_norm": 6.923471450805664,
|
195 |
+
"learning_rate": 3.1283673725097108e-06,
|
196 |
+
"loss": 2.0707,
|
197 |
"step": 12000
|
198 |
},
|
199 |
{
|
200 |
"epoch": 2.3456558453743668,
|
201 |
+
"grad_norm": 4.643533706665039,
|
202 |
+
"learning_rate": 3.050056383911791e-06,
|
203 |
+
"loss": 2.0385,
|
204 |
"step": 12500
|
205 |
},
|
206 |
{
|
207 |
"epoch": 2.4394820791893412,
|
208 |
+
"grad_norm": 6.029781341552734,
|
209 |
+
"learning_rate": 2.971745395313871e-06,
|
210 |
+
"loss": 1.9869,
|
211 |
"step": 13000
|
212 |
},
|
213 |
{
|
214 |
"epoch": 2.533308313004316,
|
215 |
+
"grad_norm": 5.756152153015137,
|
216 |
+
"learning_rate": 2.893434406715951e-06,
|
217 |
+
"loss": 1.9542,
|
218 |
"step": 13500
|
219 |
},
|
220 |
{
|
221 |
"epoch": 2.6271345468192906,
|
222 |
+
"grad_norm": 7.7480244636535645,
|
223 |
+
"learning_rate": 2.8151234181180302e-06,
|
224 |
+
"loss": 1.9093,
|
225 |
"step": 14000
|
226 |
},
|
227 |
{
|
228 |
"epoch": 2.7209607806342655,
|
229 |
+
"grad_norm": 9.918256759643555,
|
230 |
+
"learning_rate": 2.7368124295201103e-06,
|
231 |
+
"loss": 1.8805,
|
232 |
"step": 14500
|
233 |
},
|
234 |
{
|
235 |
"epoch": 2.81478701444924,
|
236 |
+
"grad_norm": 6.404055118560791,
|
237 |
+
"learning_rate": 2.6585014409221904e-06,
|
238 |
+
"loss": 1.8297,
|
239 |
"step": 15000
|
240 |
},
|
241 |
{
|
242 |
"epoch": 2.9086132482642144,
|
243 |
+
"grad_norm": 4.804295063018799,
|
244 |
+
"learning_rate": 2.5801904523242704e-06,
|
245 |
+
"loss": 1.794,
|
246 |
"step": 15500
|
247 |
},
|
248 |
{
|
249 |
"epoch": 3.0,
|
250 |
+
"eval_accuracy": 0.6154353678061826,
|
251 |
+
"eval_loss": 1.8137885332107544,
|
252 |
+
"eval_model_preparation_time": 0.0053,
|
253 |
+
"eval_runtime": 1101.4513,
|
254 |
+
"eval_samples_per_second": 103.204,
|
255 |
+
"eval_steps_per_second": 12.901,
|
256 |
"step": 15987
|
257 |
},
|
258 |
{
|
259 |
"epoch": 3.0024394820791893,
|
260 |
+
"grad_norm": 7.666245460510254,
|
261 |
+
"learning_rate": 2.5018794637263505e-06,
|
262 |
+
"loss": 1.7543,
|
263 |
"step": 16000
|
264 |
},
|
265 |
{
|
266 |
"epoch": 3.096265715894164,
|
267 |
+
"grad_norm": 8.590559005737305,
|
268 |
+
"learning_rate": 2.42356847512843e-06,
|
269 |
+
"loss": 1.7155,
|
270 |
"step": 16500
|
271 |
},
|
272 |
{
|
273 |
"epoch": 3.1900919497091387,
|
274 |
+
"grad_norm": 6.843356132507324,
|
275 |
+
"learning_rate": 2.3452574865305102e-06,
|
276 |
+
"loss": 1.6821,
|
277 |
"step": 17000
|
278 |
},
|
279 |
{
|
280 |
"epoch": 3.283918183524113,
|
281 |
+
"grad_norm": 10.152677536010742,
|
282 |
+
"learning_rate": 2.26694649793259e-06,
|
283 |
+
"loss": 1.6734,
|
284 |
"step": 17500
|
285 |
},
|
286 |
{
|
287 |
"epoch": 3.377744417339088,
|
288 |
+
"grad_norm": 7.38956356048584,
|
289 |
+
"learning_rate": 2.18863550933467e-06,
|
290 |
+
"loss": 1.6254,
|
291 |
"step": 18000
|
292 |
},
|
293 |
{
|
294 |
"epoch": 3.4715706511540625,
|
295 |
+
"grad_norm": 7.098983287811279,
|
296 |
+
"learning_rate": 2.1103245207367496e-06,
|
297 |
+
"loss": 1.6125,
|
298 |
"step": 18500
|
299 |
},
|
300 |
{
|
301 |
"epoch": 3.5653968849690374,
|
302 |
+
"grad_norm": 8.060213088989258,
|
303 |
+
"learning_rate": 2.0320135321388297e-06,
|
304 |
+
"loss": 1.5813,
|
305 |
"step": 19000
|
306 |
},
|
307 |
{
|
308 |
"epoch": 3.659223118784012,
|
309 |
+
"grad_norm": 7.161475658416748,
|
310 |
+
"learning_rate": 1.9537025435409098e-06,
|
311 |
+
"loss": 1.5367,
|
312 |
"step": 19500
|
313 |
},
|
314 |
{
|
315 |
"epoch": 3.7530493525989868,
|
316 |
+
"grad_norm": 14.963991165161133,
|
317 |
+
"learning_rate": 1.8753915549429896e-06,
|
318 |
+
"loss": 1.5131,
|
319 |
"step": 20000
|
320 |
},
|
321 |
{
|
322 |
"epoch": 3.846875586413961,
|
323 |
+
"grad_norm": 8.202707290649414,
|
324 |
+
"learning_rate": 1.7970805663450697e-06,
|
325 |
+
"loss": 1.5161,
|
326 |
"step": 20500
|
327 |
},
|
328 |
{
|
329 |
"epoch": 3.940701820228936,
|
330 |
+
"grad_norm": 7.647439002990723,
|
331 |
+
"learning_rate": 1.7187695777471498e-06,
|
332 |
+
"loss": 1.5041,
|
333 |
"step": 21000
|
334 |
},
|
335 |
{
|
336 |
"epoch": 4.0,
|
337 |
+
"eval_accuracy": 0.6565089642310467,
|
338 |
+
"eval_loss": 1.5613937377929688,
|
339 |
+
"eval_model_preparation_time": 0.0053,
|
340 |
+
"eval_runtime": 1094.3529,
|
341 |
+
"eval_samples_per_second": 103.873,
|
342 |
+
"eval_steps_per_second": 12.985,
|
343 |
"step": 21316
|
344 |
},
|
345 |
{
|
346 |
"epoch": 4.034528054043911,
|
347 |
+
"grad_norm": 6.454436779022217,
|
348 |
+
"learning_rate": 1.6404585891492294e-06,
|
349 |
+
"loss": 1.4779,
|
350 |
"step": 21500
|
351 |
},
|
352 |
{
|
353 |
"epoch": 4.128354287858885,
|
354 |
+
"grad_norm": 11.403889656066895,
|
355 |
+
"learning_rate": 1.5621476005513095e-06,
|
356 |
+
"loss": 1.4441,
|
357 |
"step": 22000
|
358 |
},
|
359 |
{
|
360 |
"epoch": 4.22218052167386,
|
361 |
+
"grad_norm": 10.452070236206055,
|
362 |
+
"learning_rate": 1.4838366119533896e-06,
|
363 |
+
"loss": 1.4355,
|
364 |
"step": 22500
|
365 |
},
|
366 |
{
|
367 |
"epoch": 4.316006755488835,
|
368 |
+
"grad_norm": 7.726356506347656,
|
369 |
+
"learning_rate": 1.4055256233554693e-06,
|
370 |
+
"loss": 1.4132,
|
371 |
"step": 23000
|
372 |
},
|
373 |
{
|
374 |
"epoch": 4.409832989303809,
|
375 |
+
"grad_norm": 6.455691337585449,
|
376 |
+
"learning_rate": 1.3272146347575493e-06,
|
377 |
+
"loss": 1.3937,
|
378 |
"step": 23500
|
379 |
},
|
380 |
{
|
381 |
"epoch": 4.503659223118784,
|
382 |
+
"grad_norm": 8.14889907836914,
|
383 |
+
"learning_rate": 1.2489036461596292e-06,
|
384 |
+
"loss": 1.3721,
|
385 |
"step": 24000
|
386 |
},
|
387 |
{
|
388 |
"epoch": 4.597485456933759,
|
389 |
+
"grad_norm": 8.627324104309082,
|
390 |
+
"learning_rate": 1.170592657561709e-06,
|
391 |
+
"loss": 1.3555,
|
392 |
"step": 24500
|
393 |
},
|
394 |
{
|
395 |
"epoch": 4.6913116907487336,
|
396 |
+
"grad_norm": 10.486886978149414,
|
397 |
+
"learning_rate": 1.0922816689637891e-06,
|
398 |
+
"loss": 1.377,
|
399 |
"step": 25000
|
400 |
},
|
401 |
{
|
402 |
"epoch": 4.785137924563708,
|
403 |
+
"grad_norm": 8.634580612182617,
|
404 |
+
"learning_rate": 1.013970680365869e-06,
|
405 |
+
"loss": 1.3634,
|
406 |
"step": 25500
|
407 |
},
|
408 |
{
|
409 |
"epoch": 4.8789641583786825,
|
410 |
+
"grad_norm": 9.948036193847656,
|
411 |
+
"learning_rate": 9.356596917679489e-07,
|
412 |
+
"loss": 1.3451,
|
413 |
"step": 26000
|
414 |
},
|
415 |
{
|
416 |
"epoch": 4.972790392193657,
|
417 |
+
"grad_norm": 10.133368492126465,
|
418 |
+
"learning_rate": 8.573487031700289e-07,
|
419 |
+
"loss": 1.3204,
|
420 |
"step": 26500
|
421 |
},
|
422 |
{
|
423 |
"epoch": 5.0,
|
424 |
+
"eval_accuracy": 0.6835072224079385,
|
425 |
+
"eval_loss": 1.4212292432785034,
|
426 |
+
"eval_model_preparation_time": 0.0053,
|
427 |
+
"eval_runtime": 1081.7006,
|
428 |
+
"eval_samples_per_second": 105.088,
|
429 |
+
"eval_steps_per_second": 13.137,
|
430 |
"step": 26645
|
431 |
},
|
432 |
{
|
433 |
"epoch": 5.066616626008632,
|
434 |
+
"grad_norm": 7.147021293640137,
|
435 |
+
"learning_rate": 7.790377145721088e-07,
|
436 |
+
"loss": 1.3151,
|
437 |
"step": 27000
|
438 |
},
|
439 |
{
|
440 |
"epoch": 5.160442859823607,
|
441 |
+
"grad_norm": 7.843013763427734,
|
442 |
+
"learning_rate": 7.007267259741888e-07,
|
443 |
+
"loss": 1.2924,
|
444 |
"step": 27500
|
445 |
},
|
446 |
{
|
447 |
"epoch": 5.254269093638581,
|
448 |
+
"grad_norm": 7.825103282928467,
|
449 |
+
"learning_rate": 6.224157373762686e-07,
|
450 |
+
"loss": 1.2944,
|
451 |
"step": 28000
|
452 |
},
|
453 |
{
|
454 |
"epoch": 5.348095327453556,
|
455 |
+
"grad_norm": 5.51339864730835,
|
456 |
+
"learning_rate": 5.441047487783486e-07,
|
457 |
+
"loss": 1.2958,
|
458 |
"step": 28500
|
459 |
},
|
460 |
{
|
461 |
"epoch": 5.441921561268531,
|
462 |
+
"grad_norm": 9.967358589172363,
|
463 |
+
"learning_rate": 4.657937601804285e-07,
|
464 |
+
"loss": 1.2925,
|
465 |
"step": 29000
|
466 |
},
|
467 |
{
|
468 |
"epoch": 5.5357477950835055,
|
469 |
+
"grad_norm": 7.193011283874512,
|
470 |
+
"learning_rate": 3.874827715825085e-07,
|
471 |
+
"loss": 1.2973,
|
472 |
"step": 29500
|
473 |
},
|
474 |
{
|
475 |
"epoch": 5.62957402889848,
|
476 |
+
"grad_norm": 7.687045097351074,
|
477 |
+
"learning_rate": 3.091717829845884e-07,
|
478 |
+
"loss": 1.2652,
|
479 |
"step": 30000
|
480 |
},
|
481 |
{
|
482 |
"epoch": 5.723400262713454,
|
483 |
+
"grad_norm": 12.939030647277832,
|
484 |
+
"learning_rate": 2.3086079438666836e-07,
|
485 |
+
"loss": 1.2808,
|
486 |
"step": 30500
|
487 |
},
|
488 |
{
|
489 |
"epoch": 5.81722649652843,
|
490 |
+
"grad_norm": 9.08949089050293,
|
491 |
+
"learning_rate": 1.525498057887483e-07,
|
492 |
+
"loss": 1.2643,
|
493 |
"step": 31000
|
494 |
},
|
495 |
{
|
496 |
"epoch": 5.911052730343404,
|
497 |
+
"grad_norm": 10.904788970947266,
|
498 |
+
"learning_rate": 7.423881719082822e-08,
|
499 |
+
"loss": 1.2828,
|
500 |
"step": 31500
|
501 |
},
|
502 |
{
|
503 |
"epoch": 6.0,
|
504 |
+
"eval_accuracy": 0.6924626563682108,
|
505 |
+
"eval_loss": 1.374941349029541,
|
506 |
+
"eval_model_preparation_time": 0.0053,
|
507 |
+
"eval_runtime": 1090.2857,
|
508 |
+
"eval_samples_per_second": 104.261,
|
509 |
+
"eval_steps_per_second": 13.033,
|
510 |
"step": 31974
|
511 |
}
|
512 |
],
|
checkpoint-31974/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4731
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29015c96f2bea471733807d2f0d90a80549b90424dd54e981ee9e627381c13a5
|
3 |
size 4731
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343387012
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f264162406cd17fcf0599f6f7c0ad35e95c7d2759c1a4c22c1c88689bb6fea6
|
3 |
size 343387012
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4731
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29015c96f2bea471733807d2f0d90a80549b90424dd54e981ee9e627381c13a5
|
3 |
size 4731
|