Model save
Browse files- README.md +7 -7
- all_results.json +5 -5
- test_results.json +5 -5
- trainer_state.json +229 -229
- val_results.json +5 -5
README.md
CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Accuracy: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
52 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
53 |
-
| 0.
|
54 |
-
| 0.
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
|
59 |
|
60 |
### Framework versions
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.6192
|
21 |
+
- Accuracy: 0.8382
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
52 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
53 |
+
| 0.4491 | 0.2011 | 186 | 0.6939 | 0.7386 |
|
54 |
+
| 0.5627 | 1.2011 | 372 | 0.6806 | 0.7759 |
|
55 |
+
| 0.5189 | 2.2011 | 558 | 0.6510 | 0.8174 |
|
56 |
+
| 0.2503 | 3.2011 | 744 | 0.6732 | 0.8174 |
|
57 |
+
| 0.0159 | 4.1957 | 925 | 0.6192 | 0.8382 |
|
58 |
|
59 |
|
60 |
### Framework versions
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 4.195675675675676,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 0.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 4.195675675675676,
|
3 |
+
"eval_accuracy": 0.8381742738589212,
|
4 |
+
"eval_loss": 0.6192311644554138,
|
5 |
+
"eval_runtime": 391.274,
|
6 |
+
"eval_samples_per_second": 0.616,
|
7 |
+
"eval_steps_per_second": 0.156
|
8 |
}
|
test_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 4.195675675675676,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 0.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 4.195675675675676,
|
3 |
+
"eval_accuracy": 0.8134831460674158,
|
4 |
+
"eval_loss": 0.7141955494880676,
|
5 |
+
"eval_runtime": 720.0647,
|
6 |
+
"eval_samples_per_second": 0.618,
|
7 |
+
"eval_steps_per_second": 0.156
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
"best_model_checkpoint": "videomae-timesformer-surf-analytics\\checkpoint-925",
|
4 |
"epoch": 4.195675675675676,
|
5 |
"eval_steps": 500,
|
@@ -10,727 +10,727 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.010810810810810811,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 5.376344086021506e-06,
|
15 |
-
"loss": 1.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.021621621621621623,
|
20 |
-
"grad_norm": 11.
|
21 |
"learning_rate": 1.0752688172043012e-05,
|
22 |
-
"loss": 1.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.032432432432432434,
|
27 |
-
"grad_norm":
|
28 |
"learning_rate": 1.6129032258064517e-05,
|
29 |
-
"loss": 1.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.043243243243243246,
|
34 |
-
"grad_norm":
|
35 |
"learning_rate": 2.1505376344086024e-05,
|
36 |
-
"loss": 1.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.05405405405405406,
|
41 |
-
"grad_norm":
|
42 |
"learning_rate": 2.6881720430107527e-05,
|
43 |
-
"loss": 1.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.06486486486486487,
|
48 |
-
"grad_norm":
|
49 |
"learning_rate": 3.2258064516129034e-05,
|
50 |
-
"loss":
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.07567567567567568,
|
55 |
-
"grad_norm":
|
56 |
"learning_rate": 3.763440860215054e-05,
|
57 |
-
"loss": 1.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.08648648648648649,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 4.301075268817205e-05,
|
64 |
-
"loss": 0.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.0972972972972973,
|
69 |
-
"grad_norm":
|
70 |
"learning_rate": 4.8387096774193554e-05,
|
71 |
-
"loss": 0.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.10810810810810811,
|
76 |
-
"grad_norm":
|
77 |
"learning_rate": 4.957932692307692e-05,
|
78 |
-
"loss": 0.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.11891891891891893,
|
83 |
-
"grad_norm": 7.
|
84 |
"learning_rate": 4.897836538461539e-05,
|
85 |
-
"loss": 0.
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.12972972972972974,
|
90 |
-
"grad_norm":
|
91 |
"learning_rate": 4.8377403846153846e-05,
|
92 |
-
"loss": 0.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.14054054054054055,
|
97 |
-
"grad_norm":
|
98 |
"learning_rate": 4.777644230769231e-05,
|
99 |
-
"loss": 0.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.15135135135135136,
|
104 |
-
"grad_norm":
|
105 |
"learning_rate": 4.717548076923077e-05,
|
106 |
-
"loss": 0.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.16216216216216217,
|
111 |
-
"grad_norm":
|
112 |
"learning_rate": 4.657451923076923e-05,
|
113 |
-
"loss": 0.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.17297297297297298,
|
118 |
-
"grad_norm":
|
119 |
"learning_rate": 4.5973557692307694e-05,
|
120 |
-
"loss": 1.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.1837837837837838,
|
125 |
-
"grad_norm":
|
126 |
"learning_rate": 4.5372596153846156e-05,
|
127 |
-
"loss": 0.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.1945945945945946,
|
132 |
-
"grad_norm":
|
133 |
"learning_rate": 4.477163461538462e-05,
|
134 |
-
"loss": 0.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.20108108108108108,
|
139 |
-
"eval_accuracy": 0.
|
140 |
-
"eval_loss": 0.
|
141 |
-
"eval_runtime":
|
142 |
-
"eval_samples_per_second": 0.
|
143 |
-
"eval_steps_per_second": 0.
|
144 |
"step": 186
|
145 |
},
|
146 |
{
|
147 |
"epoch": 1.0043243243243243,
|
148 |
-
"grad_norm":
|
149 |
"learning_rate": 4.417067307692308e-05,
|
150 |
-
"loss": 0.
|
151 |
"step": 190
|
152 |
},
|
153 |
{
|
154 |
"epoch": 1.0151351351351352,
|
155 |
-
"grad_norm":
|
156 |
"learning_rate": 4.3569711538461535e-05,
|
157 |
-
"loss": 0.
|
158 |
"step": 200
|
159 |
},
|
160 |
{
|
161 |
"epoch": 1.025945945945946,
|
162 |
-
"grad_norm":
|
163 |
"learning_rate": 4.2968750000000004e-05,
|
164 |
-
"loss": 0.
|
165 |
"step": 210
|
166 |
},
|
167 |
{
|
168 |
"epoch": 1.0367567567567568,
|
169 |
-
"grad_norm":
|
170 |
"learning_rate": 4.2367788461538466e-05,
|
171 |
-
"loss": 0.
|
172 |
"step": 220
|
173 |
},
|
174 |
{
|
175 |
"epoch": 1.0475675675675675,
|
176 |
-
"grad_norm":
|
177 |
"learning_rate": 4.176682692307692e-05,
|
178 |
-
"loss": 0.
|
179 |
"step": 230
|
180 |
},
|
181 |
{
|
182 |
"epoch": 1.0583783783783784,
|
183 |
-
"grad_norm":
|
184 |
"learning_rate": 4.116586538461539e-05,
|
185 |
-
"loss": 0.
|
186 |
"step": 240
|
187 |
},
|
188 |
{
|
189 |
"epoch": 1.0691891891891891,
|
190 |
-
"grad_norm":
|
191 |
"learning_rate": 4.0564903846153846e-05,
|
192 |
-
"loss": 0.
|
193 |
"step": 250
|
194 |
},
|
195 |
{
|
196 |
"epoch": 1.08,
|
197 |
-
"grad_norm":
|
198 |
"learning_rate": 3.996394230769231e-05,
|
199 |
-
"loss": 0.
|
200 |
"step": 260
|
201 |
},
|
202 |
{
|
203 |
"epoch": 1.0908108108108108,
|
204 |
-
"grad_norm":
|
205 |
"learning_rate": 3.936298076923077e-05,
|
206 |
-
"loss": 0.
|
207 |
"step": 270
|
208 |
},
|
209 |
{
|
210 |
"epoch": 1.1016216216216217,
|
211 |
-
"grad_norm":
|
212 |
"learning_rate": 3.876201923076923e-05,
|
213 |
-
"loss": 0.
|
214 |
"step": 280
|
215 |
},
|
216 |
{
|
217 |
"epoch": 1.1124324324324324,
|
218 |
-
"grad_norm":
|
219 |
"learning_rate": 3.8161057692307694e-05,
|
220 |
-
"loss": 0.
|
221 |
"step": 290
|
222 |
},
|
223 |
{
|
224 |
"epoch": 1.1232432432432433,
|
225 |
-
"grad_norm":
|
226 |
"learning_rate": 3.7560096153846156e-05,
|
227 |
-
"loss": 0.
|
228 |
"step": 300
|
229 |
},
|
230 |
{
|
231 |
"epoch": 1.134054054054054,
|
232 |
-
"grad_norm":
|
233 |
"learning_rate": 3.695913461538462e-05,
|
234 |
-
"loss": 0.
|
235 |
"step": 310
|
236 |
},
|
237 |
{
|
238 |
"epoch": 1.144864864864865,
|
239 |
-
"grad_norm":
|
240 |
"learning_rate": 3.635817307692308e-05,
|
241 |
-
"loss": 0.
|
242 |
"step": 320
|
243 |
},
|
244 |
{
|
245 |
"epoch": 1.1556756756756756,
|
246 |
-
"grad_norm":
|
247 |
"learning_rate": 3.5757211538461535e-05,
|
248 |
-
"loss": 0.
|
249 |
"step": 330
|
250 |
},
|
251 |
{
|
252 |
"epoch": 1.1664864864864866,
|
253 |
-
"grad_norm": 0.
|
254 |
"learning_rate": 3.5156250000000004e-05,
|
255 |
-
"loss": 0.
|
256 |
"step": 340
|
257 |
},
|
258 |
{
|
259 |
"epoch": 1.1772972972972973,
|
260 |
-
"grad_norm": 0.
|
261 |
"learning_rate": 3.4555288461538466e-05,
|
262 |
-
"loss": 0.
|
263 |
"step": 350
|
264 |
},
|
265 |
{
|
266 |
"epoch": 1.1881081081081082,
|
267 |
-
"grad_norm":
|
268 |
"learning_rate": 3.395432692307692e-05,
|
269 |
-
"loss": 0.
|
270 |
"step": 360
|
271 |
},
|
272 |
{
|
273 |
"epoch": 1.1989189189189189,
|
274 |
-
"grad_norm":
|
275 |
"learning_rate": 3.335336538461539e-05,
|
276 |
-
"loss": 0.
|
277 |
"step": 370
|
278 |
},
|
279 |
{
|
280 |
"epoch": 1.201081081081081,
|
281 |
-
"eval_accuracy": 0.
|
282 |
-
"eval_loss": 0.
|
283 |
-
"eval_runtime":
|
284 |
-
"eval_samples_per_second": 0.
|
285 |
-
"eval_steps_per_second": 0.
|
286 |
"step": 372
|
287 |
},
|
288 |
{
|
289 |
"epoch": 2.0086486486486486,
|
290 |
-
"grad_norm": 0.
|
291 |
"learning_rate": 3.2752403846153846e-05,
|
292 |
-
"loss": 0.
|
293 |
"step": 380
|
294 |
},
|
295 |
{
|
296 |
"epoch": 2.0194594594594593,
|
297 |
-
"grad_norm":
|
298 |
"learning_rate": 3.215144230769231e-05,
|
299 |
-
"loss": 0.
|
300 |
"step": 390
|
301 |
},
|
302 |
{
|
303 |
"epoch": 2.0302702702702704,
|
304 |
-
"grad_norm":
|
305 |
"learning_rate": 3.155048076923077e-05,
|
306 |
-
"loss": 0.
|
307 |
"step": 400
|
308 |
},
|
309 |
{
|
310 |
"epoch": 2.041081081081081,
|
311 |
-
"grad_norm":
|
312 |
"learning_rate": 3.094951923076923e-05,
|
313 |
-
"loss": 0.
|
314 |
"step": 410
|
315 |
},
|
316 |
{
|
317 |
"epoch": 2.051891891891892,
|
318 |
-
"grad_norm": 0.
|
319 |
"learning_rate": 3.0348557692307694e-05,
|
320 |
-
"loss": 0.
|
321 |
"step": 420
|
322 |
},
|
323 |
{
|
324 |
"epoch": 2.0627027027027025,
|
325 |
-
"grad_norm":
|
326 |
"learning_rate": 2.974759615384616e-05,
|
327 |
-
"loss": 0.
|
328 |
"step": 430
|
329 |
},
|
330 |
{
|
331 |
"epoch": 2.0735135135135137,
|
332 |
-
"grad_norm": 0.
|
333 |
"learning_rate": 2.9146634615384614e-05,
|
334 |
-
"loss": 0.
|
335 |
"step": 440
|
336 |
},
|
337 |
{
|
338 |
"epoch": 2.0843243243243244,
|
339 |
-
"grad_norm":
|
340 |
"learning_rate": 2.854567307692308e-05,
|
341 |
-
"loss": 0.
|
342 |
"step": 450
|
343 |
},
|
344 |
{
|
345 |
"epoch": 2.095135135135135,
|
346 |
-
"grad_norm": 0.
|
347 |
"learning_rate": 2.794471153846154e-05,
|
348 |
-
"loss": 0.
|
349 |
"step": 460
|
350 |
},
|
351 |
{
|
352 |
"epoch": 2.1059459459459458,
|
353 |
-
"grad_norm": 0.
|
354 |
"learning_rate": 2.734375e-05,
|
355 |
-
"loss": 0.
|
356 |
"step": 470
|
357 |
},
|
358 |
{
|
359 |
"epoch": 2.116756756756757,
|
360 |
-
"grad_norm": 0.
|
361 |
"learning_rate": 2.6742788461538466e-05,
|
362 |
-
"loss": 0.
|
363 |
"step": 480
|
364 |
},
|
365 |
{
|
366 |
"epoch": 2.1275675675675676,
|
367 |
-
"grad_norm":
|
368 |
"learning_rate": 2.6141826923076925e-05,
|
369 |
-
"loss": 0.
|
370 |
"step": 490
|
371 |
},
|
372 |
{
|
373 |
"epoch": 2.1383783783783783,
|
374 |
-
"grad_norm": 0.
|
375 |
"learning_rate": 2.5540865384615387e-05,
|
376 |
-
"loss": 0.
|
377 |
"step": 500
|
378 |
},
|
379 |
{
|
380 |
"epoch": 2.149189189189189,
|
381 |
-
"grad_norm": 16.
|
382 |
"learning_rate": 2.493990384615385e-05,
|
383 |
-
"loss": 0.
|
384 |
"step": 510
|
385 |
},
|
386 |
{
|
387 |
"epoch": 2.16,
|
388 |
-
"grad_norm": 1.
|
389 |
"learning_rate": 2.4338942307692307e-05,
|
390 |
-
"loss": 0.
|
391 |
"step": 520
|
392 |
},
|
393 |
{
|
394 |
"epoch": 2.170810810810811,
|
395 |
-
"grad_norm":
|
396 |
"learning_rate": 2.373798076923077e-05,
|
397 |
-
"loss": 0.
|
398 |
"step": 530
|
399 |
},
|
400 |
{
|
401 |
"epoch": 2.1816216216216215,
|
402 |
-
"grad_norm": 0.
|
403 |
"learning_rate": 2.313701923076923e-05,
|
404 |
-
"loss": 0.
|
405 |
"step": 540
|
406 |
},
|
407 |
{
|
408 |
"epoch": 2.1924324324324322,
|
409 |
-
"grad_norm":
|
410 |
"learning_rate": 2.2536057692307694e-05,
|
411 |
-
"loss": 0.
|
412 |
"step": 550
|
413 |
},
|
414 |
{
|
415 |
"epoch": 2.2010810810810812,
|
416 |
-
"eval_accuracy": 0.
|
417 |
-
"eval_loss": 0.
|
418 |
-
"eval_runtime":
|
419 |
-
"eval_samples_per_second": 0.
|
420 |
-
"eval_steps_per_second": 0.
|
421 |
"step": 558
|
422 |
},
|
423 |
{
|
424 |
"epoch": 3.002162162162162,
|
425 |
-
"grad_norm":
|
426 |
"learning_rate": 2.1935096153846156e-05,
|
427 |
-
"loss": 0.
|
428 |
"step": 560
|
429 |
},
|
430 |
{
|
431 |
"epoch": 3.012972972972973,
|
432 |
-
"grad_norm":
|
433 |
"learning_rate": 2.1334134615384614e-05,
|
434 |
-
"loss": 0.
|
435 |
"step": 570
|
436 |
},
|
437 |
{
|
438 |
"epoch": 3.023783783783784,
|
439 |
-
"grad_norm": 0.
|
440 |
"learning_rate": 2.073317307692308e-05,
|
441 |
-
"loss": 0.
|
442 |
"step": 580
|
443 |
},
|
444 |
{
|
445 |
"epoch": 3.0345945945945947,
|
446 |
-
"grad_norm":
|
447 |
"learning_rate": 2.0132211538461542e-05,
|
448 |
-
"loss": 0.
|
449 |
"step": 590
|
450 |
},
|
451 |
{
|
452 |
"epoch": 3.0454054054054054,
|
453 |
-
"grad_norm": 0.
|
454 |
"learning_rate": 1.953125e-05,
|
455 |
-
"loss": 0.
|
456 |
"step": 600
|
457 |
},
|
458 |
{
|
459 |
"epoch": 3.056216216216216,
|
460 |
-
"grad_norm":
|
461 |
"learning_rate": 1.8930288461538462e-05,
|
462 |
-
"loss": 0.
|
463 |
"step": 610
|
464 |
},
|
465 |
{
|
466 |
"epoch": 3.0670270270270272,
|
467 |
-
"grad_norm": 0.
|
468 |
"learning_rate": 1.832932692307692e-05,
|
469 |
-
"loss": 0.
|
470 |
"step": 620
|
471 |
},
|
472 |
{
|
473 |
"epoch": 3.077837837837838,
|
474 |
-
"grad_norm":
|
475 |
"learning_rate": 1.7728365384615387e-05,
|
476 |
-
"loss": 0.
|
477 |
"step": 630
|
478 |
},
|
479 |
{
|
480 |
"epoch": 3.0886486486486486,
|
481 |
-
"grad_norm": 0.
|
482 |
"learning_rate": 1.712740384615385e-05,
|
483 |
-
"loss": 0.
|
484 |
"step": 640
|
485 |
},
|
486 |
{
|
487 |
"epoch": 3.0994594594594593,
|
488 |
-
"grad_norm":
|
489 |
"learning_rate": 1.6526442307692307e-05,
|
490 |
-
"loss": 0.
|
491 |
"step": 650
|
492 |
},
|
493 |
{
|
494 |
"epoch": 3.1102702702702705,
|
495 |
-
"grad_norm":
|
496 |
"learning_rate": 1.592548076923077e-05,
|
497 |
-
"loss": 0.
|
498 |
"step": 660
|
499 |
},
|
500 |
{
|
501 |
"epoch": 3.121081081081081,
|
502 |
-
"grad_norm": 0.
|
503 |
"learning_rate": 1.532451923076923e-05,
|
504 |
-
"loss": 0.
|
505 |
"step": 670
|
506 |
},
|
507 |
{
|
508 |
"epoch": 3.131891891891892,
|
509 |
-
"grad_norm": 0.
|
510 |
"learning_rate": 1.4723557692307693e-05,
|
511 |
-
"loss": 0.
|
512 |
"step": 680
|
513 |
},
|
514 |
{
|
515 |
"epoch": 3.1427027027027026,
|
516 |
-
"grad_norm":
|
517 |
"learning_rate": 1.4122596153846154e-05,
|
518 |
-
"loss": 0.
|
519 |
"step": 690
|
520 |
},
|
521 |
{
|
522 |
"epoch": 3.1535135135135137,
|
523 |
-
"grad_norm": 0.
|
524 |
"learning_rate": 1.3521634615384616e-05,
|
525 |
-
"loss": 0.
|
526 |
"step": 700
|
527 |
},
|
528 |
{
|
529 |
"epoch": 3.1643243243243244,
|
530 |
-
"grad_norm": 0.
|
531 |
"learning_rate": 1.292067307692308e-05,
|
532 |
-
"loss": 0.
|
533 |
"step": 710
|
534 |
},
|
535 |
{
|
536 |
"epoch": 3.175135135135135,
|
537 |
-
"grad_norm": 0.
|
538 |
"learning_rate": 1.231971153846154e-05,
|
539 |
-
"loss": 0.
|
540 |
"step": 720
|
541 |
},
|
542 |
{
|
543 |
"epoch": 3.185945945945946,
|
544 |
-
"grad_norm":
|
545 |
"learning_rate": 1.171875e-05,
|
546 |
-
"loss": 0.
|
547 |
"step": 730
|
548 |
},
|
549 |
{
|
550 |
"epoch": 3.1967567567567565,
|
551 |
-
"grad_norm": 0.
|
552 |
"learning_rate": 1.111778846153846e-05,
|
553 |
-
"loss": 0.
|
554 |
"step": 740
|
555 |
},
|
556 |
{
|
557 |
"epoch": 3.2010810810810812,
|
558 |
-
"eval_accuracy": 0.
|
559 |
-
"eval_loss": 0.
|
560 |
-
"eval_runtime":
|
561 |
-
"eval_samples_per_second": 0.
|
562 |
-
"eval_steps_per_second": 0.
|
563 |
"step": 744
|
564 |
},
|
565 |
{
|
566 |
"epoch": 4.006486486486486,
|
567 |
-
"grad_norm": 0.
|
568 |
"learning_rate": 1.0516826923076924e-05,
|
569 |
-
"loss": 0.
|
570 |
"step": 750
|
571 |
},
|
572 |
{
|
573 |
"epoch": 4.017297297297297,
|
574 |
-
"grad_norm":
|
575 |
"learning_rate": 9.915865384615385e-06,
|
576 |
-
"loss": 0.
|
577 |
"step": 760
|
578 |
},
|
579 |
{
|
580 |
"epoch": 4.028108108108108,
|
581 |
-
"grad_norm":
|
582 |
"learning_rate": 9.314903846153847e-06,
|
583 |
-
"loss": 0.
|
584 |
"step": 770
|
585 |
},
|
586 |
{
|
587 |
"epoch": 4.0389189189189185,
|
588 |
-
"grad_norm": 0.
|
589 |
"learning_rate": 8.713942307692307e-06,
|
590 |
-
"loss": 0.
|
591 |
"step": 780
|
592 |
},
|
593 |
{
|
594 |
"epoch": 4.04972972972973,
|
595 |
-
"grad_norm":
|
596 |
"learning_rate": 8.112980769230769e-06,
|
597 |
-
"loss": 0.
|
598 |
"step": 790
|
599 |
},
|
600 |
{
|
601 |
"epoch": 4.060540540540541,
|
602 |
-
"grad_norm": 0.
|
603 |
"learning_rate": 7.512019230769231e-06,
|
604 |
-
"loss": 0.
|
605 |
"step": 800
|
606 |
},
|
607 |
{
|
608 |
"epoch": 4.0713513513513515,
|
609 |
-
"grad_norm": 0.
|
610 |
"learning_rate": 6.911057692307693e-06,
|
611 |
-
"loss": 0.
|
612 |
"step": 810
|
613 |
},
|
614 |
{
|
615 |
"epoch": 4.082162162162162,
|
616 |
-
"grad_norm": 0.
|
617 |
"learning_rate": 6.310096153846154e-06,
|
618 |
-
"loss": 0.
|
619 |
"step": 820
|
620 |
},
|
621 |
{
|
622 |
"epoch": 4.092972972972973,
|
623 |
-
"grad_norm": 0.
|
624 |
"learning_rate": 5.709134615384616e-06,
|
625 |
-
"loss": 0.
|
626 |
"step": 830
|
627 |
},
|
628 |
{
|
629 |
"epoch": 4.103783783783784,
|
630 |
-
"grad_norm":
|
631 |
"learning_rate": 5.108173076923077e-06,
|
632 |
-
"loss": 0.
|
633 |
"step": 840
|
634 |
},
|
635 |
{
|
636 |
"epoch": 4.114594594594594,
|
637 |
-
"grad_norm": 0.
|
638 |
"learning_rate": 4.507211538461539e-06,
|
639 |
-
"loss": 0.
|
640 |
"step": 850
|
641 |
},
|
642 |
{
|
643 |
"epoch": 4.125405405405405,
|
644 |
-
"grad_norm":
|
645 |
"learning_rate": 3.90625e-06,
|
646 |
-
"loss": 0.
|
647 |
"step": 860
|
648 |
},
|
649 |
{
|
650 |
"epoch": 4.136216216216217,
|
651 |
-
"grad_norm": 0.
|
652 |
"learning_rate": 3.3052884615384617e-06,
|
653 |
-
"loss": 0.
|
654 |
"step": 870
|
655 |
},
|
656 |
{
|
657 |
"epoch": 4.147027027027027,
|
658 |
-
"grad_norm":
|
659 |
"learning_rate": 2.7043269230769233e-06,
|
660 |
-
"loss": 0.
|
661 |
"step": 880
|
662 |
},
|
663 |
{
|
664 |
"epoch": 4.157837837837838,
|
665 |
-
"grad_norm": 0.
|
666 |
"learning_rate": 2.103365384615385e-06,
|
667 |
-
"loss": 0.
|
668 |
"step": 890
|
669 |
},
|
670 |
{
|
671 |
"epoch": 4.168648648648649,
|
672 |
-
"grad_norm": 0.
|
673 |
"learning_rate": 1.5024038461538464e-06,
|
674 |
-
"loss": 0.
|
675 |
"step": 900
|
676 |
},
|
677 |
{
|
678 |
"epoch": 4.179459459459459,
|
679 |
-
"grad_norm":
|
680 |
"learning_rate": 9.014423076923077e-07,
|
681 |
-
"loss": 0.
|
682 |
"step": 910
|
683 |
},
|
684 |
{
|
685 |
"epoch": 4.19027027027027,
|
686 |
-
"grad_norm": 0.
|
687 |
"learning_rate": 3.0048076923076924e-07,
|
688 |
-
"loss": 0.
|
689 |
"step": 920
|
690 |
},
|
691 |
{
|
692 |
"epoch": 4.195675675675676,
|
693 |
-
"eval_accuracy": 0.
|
694 |
-
"eval_loss": 0.
|
695 |
-
"eval_runtime":
|
696 |
-
"eval_samples_per_second": 0.
|
697 |
-
"eval_steps_per_second": 0.
|
698 |
"step": 925
|
699 |
},
|
700 |
{
|
701 |
"epoch": 4.195675675675676,
|
702 |
"step": 925,
|
703 |
"total_flos": 3.2312722580082524e+18,
|
704 |
-
"train_loss": 0.
|
705 |
-
"train_runtime":
|
706 |
-
"train_samples_per_second": 0.
|
707 |
-
"train_steps_per_second": 0.
|
708 |
},
|
709 |
{
|
710 |
"epoch": 4.195675675675676,
|
711 |
-
"eval_accuracy": 0.
|
712 |
-
"eval_loss": 0.
|
713 |
-
"eval_runtime":
|
714 |
-
"eval_samples_per_second": 0.
|
715 |
-
"eval_steps_per_second": 0.
|
716 |
"step": 925
|
717 |
},
|
718 |
{
|
719 |
"epoch": 4.195675675675676,
|
720 |
-
"eval_accuracy": 0.
|
721 |
-
"eval_loss": 0.
|
722 |
-
"eval_runtime":
|
723 |
-
"eval_samples_per_second": 0.
|
724 |
-
"eval_steps_per_second": 0.
|
725 |
"step": 925
|
726 |
},
|
727 |
{
|
728 |
"epoch": 4.195675675675676,
|
729 |
-
"eval_accuracy": 0.
|
730 |
-
"eval_loss": 0.
|
731 |
-
"eval_runtime":
|
732 |
-
"eval_samples_per_second": 0.
|
733 |
-
"eval_steps_per_second": 0.
|
734 |
"step": 925
|
735 |
}
|
736 |
],
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.8381742738589212,
|
3 |
"best_model_checkpoint": "videomae-timesformer-surf-analytics\\checkpoint-925",
|
4 |
"epoch": 4.195675675675676,
|
5 |
"eval_steps": 500,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.010810810810810811,
|
13 |
+
"grad_norm": 11.895417213439941,
|
14 |
"learning_rate": 5.376344086021506e-06,
|
15 |
+
"loss": 1.5009,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.021621621621621623,
|
20 |
+
"grad_norm": 11.518338203430176,
|
21 |
"learning_rate": 1.0752688172043012e-05,
|
22 |
+
"loss": 1.1077,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.032432432432432434,
|
27 |
+
"grad_norm": 10.138296127319336,
|
28 |
"learning_rate": 1.6129032258064517e-05,
|
29 |
+
"loss": 1.3124,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.043243243243243246,
|
34 |
+
"grad_norm": 9.477767944335938,
|
35 |
"learning_rate": 2.1505376344086024e-05,
|
36 |
+
"loss": 1.0199,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.05405405405405406,
|
41 |
+
"grad_norm": 11.046083450317383,
|
42 |
"learning_rate": 2.6881720430107527e-05,
|
43 |
+
"loss": 1.038,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.06486486486486487,
|
48 |
+
"grad_norm": 12.39089584350586,
|
49 |
"learning_rate": 3.2258064516129034e-05,
|
50 |
+
"loss": 0.9406,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.07567567567567568,
|
55 |
+
"grad_norm": 12.075498580932617,
|
56 |
"learning_rate": 3.763440860215054e-05,
|
57 |
+
"loss": 1.0054,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.08648648648648649,
|
62 |
+
"grad_norm": 9.824885368347168,
|
63 |
"learning_rate": 4.301075268817205e-05,
|
64 |
+
"loss": 0.7344,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.0972972972972973,
|
69 |
+
"grad_norm": 10.267470359802246,
|
70 |
"learning_rate": 4.8387096774193554e-05,
|
71 |
+
"loss": 0.6901,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.10810810810810811,
|
76 |
+
"grad_norm": 4.5673370361328125,
|
77 |
"learning_rate": 4.957932692307692e-05,
|
78 |
+
"loss": 0.4999,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.11891891891891893,
|
83 |
+
"grad_norm": 7.499106407165527,
|
84 |
"learning_rate": 4.897836538461539e-05,
|
85 |
+
"loss": 0.7291,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.12972972972972974,
|
90 |
+
"grad_norm": 13.209514617919922,
|
91 |
"learning_rate": 4.8377403846153846e-05,
|
92 |
+
"loss": 0.4908,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.14054054054054055,
|
97 |
+
"grad_norm": 27.258346557617188,
|
98 |
"learning_rate": 4.777644230769231e-05,
|
99 |
+
"loss": 0.6281,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.15135135135135136,
|
104 |
+
"grad_norm": 23.13751220703125,
|
105 |
"learning_rate": 4.717548076923077e-05,
|
106 |
+
"loss": 0.7854,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.16216216216216217,
|
111 |
+
"grad_norm": 21.831802368164062,
|
112 |
"learning_rate": 4.657451923076923e-05,
|
113 |
+
"loss": 0.6653,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.17297297297297298,
|
118 |
+
"grad_norm": 3.0441360473632812,
|
119 |
"learning_rate": 4.5973557692307694e-05,
|
120 |
+
"loss": 1.2533,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.1837837837837838,
|
125 |
+
"grad_norm": 10.554399490356445,
|
126 |
"learning_rate": 4.5372596153846156e-05,
|
127 |
+
"loss": 0.546,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.1945945945945946,
|
132 |
+
"grad_norm": 14.284193992614746,
|
133 |
"learning_rate": 4.477163461538462e-05,
|
134 |
+
"loss": 0.4491,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.20108108108108108,
|
139 |
+
"eval_accuracy": 0.7385892116182573,
|
140 |
+
"eval_loss": 0.6939307451248169,
|
141 |
+
"eval_runtime": 407.9813,
|
142 |
+
"eval_samples_per_second": 0.591,
|
143 |
+
"eval_steps_per_second": 0.15,
|
144 |
"step": 186
|
145 |
},
|
146 |
{
|
147 |
"epoch": 1.0043243243243243,
|
148 |
+
"grad_norm": 11.024110794067383,
|
149 |
"learning_rate": 4.417067307692308e-05,
|
150 |
+
"loss": 0.4377,
|
151 |
"step": 190
|
152 |
},
|
153 |
{
|
154 |
"epoch": 1.0151351351351352,
|
155 |
+
"grad_norm": 4.518445014953613,
|
156 |
"learning_rate": 4.3569711538461535e-05,
|
157 |
+
"loss": 0.0803,
|
158 |
"step": 200
|
159 |
},
|
160 |
{
|
161 |
"epoch": 1.025945945945946,
|
162 |
+
"grad_norm": 0.42581477761268616,
|
163 |
"learning_rate": 4.2968750000000004e-05,
|
164 |
+
"loss": 0.3532,
|
165 |
"step": 210
|
166 |
},
|
167 |
{
|
168 |
"epoch": 1.0367567567567568,
|
169 |
+
"grad_norm": 13.55870246887207,
|
170 |
"learning_rate": 4.2367788461538466e-05,
|
171 |
+
"loss": 0.7917,
|
172 |
"step": 220
|
173 |
},
|
174 |
{
|
175 |
"epoch": 1.0475675675675675,
|
176 |
+
"grad_norm": 13.94046401977539,
|
177 |
"learning_rate": 4.176682692307692e-05,
|
178 |
+
"loss": 0.1946,
|
179 |
"step": 230
|
180 |
},
|
181 |
{
|
182 |
"epoch": 1.0583783783783784,
|
183 |
+
"grad_norm": 24.760360717773438,
|
184 |
"learning_rate": 4.116586538461539e-05,
|
185 |
+
"loss": 0.9298,
|
186 |
"step": 240
|
187 |
},
|
188 |
{
|
189 |
"epoch": 1.0691891891891891,
|
190 |
+
"grad_norm": 7.651761531829834,
|
191 |
"learning_rate": 4.0564903846153846e-05,
|
192 |
+
"loss": 0.7205,
|
193 |
"step": 250
|
194 |
},
|
195 |
{
|
196 |
"epoch": 1.08,
|
197 |
+
"grad_norm": 16.21826171875,
|
198 |
"learning_rate": 3.996394230769231e-05,
|
199 |
+
"loss": 0.6958,
|
200 |
"step": 260
|
201 |
},
|
202 |
{
|
203 |
"epoch": 1.0908108108108108,
|
204 |
+
"grad_norm": 16.531909942626953,
|
205 |
"learning_rate": 3.936298076923077e-05,
|
206 |
+
"loss": 0.2937,
|
207 |
"step": 270
|
208 |
},
|
209 |
{
|
210 |
"epoch": 1.1016216216216217,
|
211 |
+
"grad_norm": 16.31216049194336,
|
212 |
"learning_rate": 3.876201923076923e-05,
|
213 |
+
"loss": 0.6104,
|
214 |
"step": 280
|
215 |
},
|
216 |
{
|
217 |
"epoch": 1.1124324324324324,
|
218 |
+
"grad_norm": 8.48189640045166,
|
219 |
"learning_rate": 3.8161057692307694e-05,
|
220 |
+
"loss": 0.4254,
|
221 |
"step": 290
|
222 |
},
|
223 |
{
|
224 |
"epoch": 1.1232432432432433,
|
225 |
+
"grad_norm": 29.133272171020508,
|
226 |
"learning_rate": 3.7560096153846156e-05,
|
227 |
+
"loss": 0.262,
|
228 |
"step": 300
|
229 |
},
|
230 |
{
|
231 |
"epoch": 1.134054054054054,
|
232 |
+
"grad_norm": 20.123014450073242,
|
233 |
"learning_rate": 3.695913461538462e-05,
|
234 |
+
"loss": 0.4921,
|
235 |
"step": 310
|
236 |
},
|
237 |
{
|
238 |
"epoch": 1.144864864864865,
|
239 |
+
"grad_norm": 9.895979881286621,
|
240 |
"learning_rate": 3.635817307692308e-05,
|
241 |
+
"loss": 0.2059,
|
242 |
"step": 320
|
243 |
},
|
244 |
{
|
245 |
"epoch": 1.1556756756756756,
|
246 |
+
"grad_norm": 11.974223136901855,
|
247 |
"learning_rate": 3.5757211538461535e-05,
|
248 |
+
"loss": 0.2591,
|
249 |
"step": 330
|
250 |
},
|
251 |
{
|
252 |
"epoch": 1.1664864864864866,
|
253 |
+
"grad_norm": 0.1094137504696846,
|
254 |
"learning_rate": 3.5156250000000004e-05,
|
255 |
+
"loss": 0.437,
|
256 |
"step": 340
|
257 |
},
|
258 |
{
|
259 |
"epoch": 1.1772972972972973,
|
260 |
+
"grad_norm": 0.12011051177978516,
|
261 |
"learning_rate": 3.4555288461538466e-05,
|
262 |
+
"loss": 0.5299,
|
263 |
"step": 350
|
264 |
},
|
265 |
{
|
266 |
"epoch": 1.1881081081081082,
|
267 |
+
"grad_norm": 0.32698747515678406,
|
268 |
"learning_rate": 3.395432692307692e-05,
|
269 |
+
"loss": 0.1667,
|
270 |
"step": 360
|
271 |
},
|
272 |
{
|
273 |
"epoch": 1.1989189189189189,
|
274 |
+
"grad_norm": 2.423952102661133,
|
275 |
"learning_rate": 3.335336538461539e-05,
|
276 |
+
"loss": 0.5627,
|
277 |
"step": 370
|
278 |
},
|
279 |
{
|
280 |
"epoch": 1.201081081081081,
|
281 |
+
"eval_accuracy": 0.7759336099585062,
|
282 |
+
"eval_loss": 0.6805610060691833,
|
283 |
+
"eval_runtime": 399.3517,
|
284 |
+
"eval_samples_per_second": 0.603,
|
285 |
+
"eval_steps_per_second": 0.153,
|
286 |
"step": 372
|
287 |
},
|
288 |
{
|
289 |
"epoch": 2.0086486486486486,
|
290 |
+
"grad_norm": 0.037202008068561554,
|
291 |
"learning_rate": 3.2752403846153846e-05,
|
292 |
+
"loss": 0.0415,
|
293 |
"step": 380
|
294 |
},
|
295 |
{
|
296 |
"epoch": 2.0194594594594593,
|
297 |
+
"grad_norm": 23.98035430908203,
|
298 |
"learning_rate": 3.215144230769231e-05,
|
299 |
+
"loss": 0.3379,
|
300 |
"step": 390
|
301 |
},
|
302 |
{
|
303 |
"epoch": 2.0302702702702704,
|
304 |
+
"grad_norm": 31.957252502441406,
|
305 |
"learning_rate": 3.155048076923077e-05,
|
306 |
+
"loss": 0.357,
|
307 |
"step": 400
|
308 |
},
|
309 |
{
|
310 |
"epoch": 2.041081081081081,
|
311 |
+
"grad_norm": 1.1118696928024292,
|
312 |
"learning_rate": 3.094951923076923e-05,
|
313 |
+
"loss": 0.1775,
|
314 |
"step": 410
|
315 |
},
|
316 |
{
|
317 |
"epoch": 2.051891891891892,
|
318 |
+
"grad_norm": 0.05329513177275658,
|
319 |
"learning_rate": 3.0348557692307694e-05,
|
320 |
+
"loss": 0.0175,
|
321 |
"step": 420
|
322 |
},
|
323 |
{
|
324 |
"epoch": 2.0627027027027025,
|
325 |
+
"grad_norm": 32.40390396118164,
|
326 |
"learning_rate": 2.974759615384616e-05,
|
327 |
+
"loss": 0.4569,
|
328 |
"step": 430
|
329 |
},
|
330 |
{
|
331 |
"epoch": 2.0735135135135137,
|
332 |
+
"grad_norm": 0.15056586265563965,
|
333 |
"learning_rate": 2.9146634615384614e-05,
|
334 |
+
"loss": 0.3911,
|
335 |
"step": 440
|
336 |
},
|
337 |
{
|
338 |
"epoch": 2.0843243243243244,
|
339 |
+
"grad_norm": 0.2210923731327057,
|
340 |
"learning_rate": 2.854567307692308e-05,
|
341 |
+
"loss": 0.112,
|
342 |
"step": 450
|
343 |
},
|
344 |
{
|
345 |
"epoch": 2.095135135135135,
|
346 |
+
"grad_norm": 0.9941416382789612,
|
347 |
"learning_rate": 2.794471153846154e-05,
|
348 |
+
"loss": 0.3037,
|
349 |
"step": 460
|
350 |
},
|
351 |
{
|
352 |
"epoch": 2.1059459459459458,
|
353 |
+
"grad_norm": 0.035190433263778687,
|
354 |
"learning_rate": 2.734375e-05,
|
355 |
+
"loss": 0.6371,
|
356 |
"step": 470
|
357 |
},
|
358 |
{
|
359 |
"epoch": 2.116756756756757,
|
360 |
+
"grad_norm": 0.04186534136533737,
|
361 |
"learning_rate": 2.6742788461538466e-05,
|
362 |
+
"loss": 0.4244,
|
363 |
"step": 480
|
364 |
},
|
365 |
{
|
366 |
"epoch": 2.1275675675675676,
|
367 |
+
"grad_norm": 0.5409103631973267,
|
368 |
"learning_rate": 2.6141826923076925e-05,
|
369 |
+
"loss": 0.311,
|
370 |
"step": 490
|
371 |
},
|
372 |
{
|
373 |
"epoch": 2.1383783783783783,
|
374 |
+
"grad_norm": 0.04897398501634598,
|
375 |
"learning_rate": 2.5540865384615387e-05,
|
376 |
+
"loss": 0.0555,
|
377 |
"step": 500
|
378 |
},
|
379 |
{
|
380 |
"epoch": 2.149189189189189,
|
381 |
+
"grad_norm": 16.756502151489258,
|
382 |
"learning_rate": 2.493990384615385e-05,
|
383 |
+
"loss": 0.264,
|
384 |
"step": 510
|
385 |
},
|
386 |
{
|
387 |
"epoch": 2.16,
|
388 |
+
"grad_norm": 1.5812554359436035,
|
389 |
"learning_rate": 2.4338942307692307e-05,
|
390 |
+
"loss": 0.1869,
|
391 |
"step": 520
|
392 |
},
|
393 |
{
|
394 |
"epoch": 2.170810810810811,
|
395 |
+
"grad_norm": 0.20836937427520752,
|
396 |
"learning_rate": 2.373798076923077e-05,
|
397 |
+
"loss": 0.2804,
|
398 |
"step": 530
|
399 |
},
|
400 |
{
|
401 |
"epoch": 2.1816216216216215,
|
402 |
+
"grad_norm": 0.14942559599876404,
|
403 |
"learning_rate": 2.313701923076923e-05,
|
404 |
+
"loss": 0.2552,
|
405 |
"step": 540
|
406 |
},
|
407 |
{
|
408 |
"epoch": 2.1924324324324322,
|
409 |
+
"grad_norm": 0.09908430278301239,
|
410 |
"learning_rate": 2.2536057692307694e-05,
|
411 |
+
"loss": 0.5189,
|
412 |
"step": 550
|
413 |
},
|
414 |
{
|
415 |
"epoch": 2.2010810810810812,
|
416 |
+
"eval_accuracy": 0.8174273858921162,
|
417 |
+
"eval_loss": 0.651021420955658,
|
418 |
+
"eval_runtime": 406.013,
|
419 |
+
"eval_samples_per_second": 0.594,
|
420 |
+
"eval_steps_per_second": 0.15,
|
421 |
"step": 558
|
422 |
},
|
423 |
{
|
424 |
"epoch": 3.002162162162162,
|
425 |
+
"grad_norm": 15.29819107055664,
|
426 |
"learning_rate": 2.1935096153846156e-05,
|
427 |
+
"loss": 0.7952,
|
428 |
"step": 560
|
429 |
},
|
430 |
{
|
431 |
"epoch": 3.012972972972973,
|
432 |
+
"grad_norm": 7.53931188583374,
|
433 |
"learning_rate": 2.1334134615384614e-05,
|
434 |
+
"loss": 0.0482,
|
435 |
"step": 570
|
436 |
},
|
437 |
{
|
438 |
"epoch": 3.023783783783784,
|
439 |
+
"grad_norm": 0.01849238947033882,
|
440 |
"learning_rate": 2.073317307692308e-05,
|
441 |
+
"loss": 0.0809,
|
442 |
"step": 580
|
443 |
},
|
444 |
{
|
445 |
"epoch": 3.0345945945945947,
|
446 |
+
"grad_norm": 28.94001007080078,
|
447 |
"learning_rate": 2.0132211538461542e-05,
|
448 |
+
"loss": 0.0708,
|
449 |
"step": 590
|
450 |
},
|
451 |
{
|
452 |
"epoch": 3.0454054054054054,
|
453 |
+
"grad_norm": 0.031998779624700546,
|
454 |
"learning_rate": 1.953125e-05,
|
455 |
+
"loss": 0.0426,
|
456 |
"step": 600
|
457 |
},
|
458 |
{
|
459 |
"epoch": 3.056216216216216,
|
460 |
+
"grad_norm": 6.872684001922607,
|
461 |
"learning_rate": 1.8930288461538462e-05,
|
462 |
+
"loss": 0.1062,
|
463 |
"step": 610
|
464 |
},
|
465 |
{
|
466 |
"epoch": 3.0670270270270272,
|
467 |
+
"grad_norm": 0.02178012765944004,
|
468 |
"learning_rate": 1.832932692307692e-05,
|
469 |
+
"loss": 0.1908,
|
470 |
"step": 620
|
471 |
},
|
472 |
{
|
473 |
"epoch": 3.077837837837838,
|
474 |
+
"grad_norm": 12.06849193572998,
|
475 |
"learning_rate": 1.7728365384615387e-05,
|
476 |
+
"loss": 0.0114,
|
477 |
"step": 630
|
478 |
},
|
479 |
{
|
480 |
"epoch": 3.0886486486486486,
|
481 |
+
"grad_norm": 0.18928392231464386,
|
482 |
"learning_rate": 1.712740384615385e-05,
|
483 |
+
"loss": 0.1763,
|
484 |
"step": 640
|
485 |
},
|
486 |
{
|
487 |
"epoch": 3.0994594594594593,
|
488 |
+
"grad_norm": 10.532954216003418,
|
489 |
"learning_rate": 1.6526442307692307e-05,
|
490 |
+
"loss": 0.3634,
|
491 |
"step": 650
|
492 |
},
|
493 |
{
|
494 |
"epoch": 3.1102702702702705,
|
495 |
+
"grad_norm": 18.90543556213379,
|
496 |
"learning_rate": 1.592548076923077e-05,
|
497 |
+
"loss": 0.728,
|
498 |
"step": 660
|
499 |
},
|
500 |
{
|
501 |
"epoch": 3.121081081081081,
|
502 |
+
"grad_norm": 0.35980573296546936,
|
503 |
"learning_rate": 1.532451923076923e-05,
|
504 |
+
"loss": 0.144,
|
505 |
"step": 670
|
506 |
},
|
507 |
{
|
508 |
"epoch": 3.131891891891892,
|
509 |
+
"grad_norm": 0.03495261073112488,
|
510 |
"learning_rate": 1.4723557692307693e-05,
|
511 |
+
"loss": 0.0163,
|
512 |
"step": 680
|
513 |
},
|
514 |
{
|
515 |
"epoch": 3.1427027027027026,
|
516 |
+
"grad_norm": 24.22405242919922,
|
517 |
"learning_rate": 1.4122596153846154e-05,
|
518 |
+
"loss": 0.1584,
|
519 |
"step": 690
|
520 |
},
|
521 |
{
|
522 |
"epoch": 3.1535135135135137,
|
523 |
+
"grad_norm": 0.026546325534582138,
|
524 |
"learning_rate": 1.3521634615384616e-05,
|
525 |
+
"loss": 0.3465,
|
526 |
"step": 700
|
527 |
},
|
528 |
{
|
529 |
"epoch": 3.1643243243243244,
|
530 |
+
"grad_norm": 0.43370339274406433,
|
531 |
"learning_rate": 1.292067307692308e-05,
|
532 |
+
"loss": 0.3739,
|
533 |
"step": 710
|
534 |
},
|
535 |
{
|
536 |
"epoch": 3.175135135135135,
|
537 |
+
"grad_norm": 0.02699950709939003,
|
538 |
"learning_rate": 1.231971153846154e-05,
|
539 |
+
"loss": 0.1644,
|
540 |
"step": 720
|
541 |
},
|
542 |
{
|
543 |
"epoch": 3.185945945945946,
|
544 |
+
"grad_norm": 2.032027006149292,
|
545 |
"learning_rate": 1.171875e-05,
|
546 |
+
"loss": 0.1225,
|
547 |
"step": 730
|
548 |
},
|
549 |
{
|
550 |
"epoch": 3.1967567567567565,
|
551 |
+
"grad_norm": 0.006064319983124733,
|
552 |
"learning_rate": 1.111778846153846e-05,
|
553 |
+
"loss": 0.2503,
|
554 |
"step": 740
|
555 |
},
|
556 |
{
|
557 |
"epoch": 3.2010810810810812,
|
558 |
+
"eval_accuracy": 0.8174273858921162,
|
559 |
+
"eval_loss": 0.6731572151184082,
|
560 |
+
"eval_runtime": 400.1385,
|
561 |
+
"eval_samples_per_second": 0.602,
|
562 |
+
"eval_steps_per_second": 0.152,
|
563 |
"step": 744
|
564 |
},
|
565 |
{
|
566 |
"epoch": 4.006486486486486,
|
567 |
+
"grad_norm": 0.4040788412094116,
|
568 |
"learning_rate": 1.0516826923076924e-05,
|
569 |
+
"loss": 0.2375,
|
570 |
"step": 750
|
571 |
},
|
572 |
{
|
573 |
"epoch": 4.017297297297297,
|
574 |
+
"grad_norm": 11.23088264465332,
|
575 |
"learning_rate": 9.915865384615385e-06,
|
576 |
+
"loss": 0.1009,
|
577 |
"step": 760
|
578 |
},
|
579 |
{
|
580 |
"epoch": 4.028108108108108,
|
581 |
+
"grad_norm": 44.4477424621582,
|
582 |
"learning_rate": 9.314903846153847e-06,
|
583 |
+
"loss": 0.1268,
|
584 |
"step": 770
|
585 |
},
|
586 |
{
|
587 |
"epoch": 4.0389189189189185,
|
588 |
+
"grad_norm": 0.01056050043553114,
|
589 |
"learning_rate": 8.713942307692307e-06,
|
590 |
+
"loss": 0.0738,
|
591 |
"step": 780
|
592 |
},
|
593 |
{
|
594 |
"epoch": 4.04972972972973,
|
595 |
+
"grad_norm": 14.111398696899414,
|
596 |
"learning_rate": 8.112980769230769e-06,
|
597 |
+
"loss": 0.2126,
|
598 |
"step": 790
|
599 |
},
|
600 |
{
|
601 |
"epoch": 4.060540540540541,
|
602 |
+
"grad_norm": 0.014713864773511887,
|
603 |
"learning_rate": 7.512019230769231e-06,
|
604 |
+
"loss": 0.0011,
|
605 |
"step": 800
|
606 |
},
|
607 |
{
|
608 |
"epoch": 4.0713513513513515,
|
609 |
+
"grad_norm": 0.010851687751710415,
|
610 |
"learning_rate": 6.911057692307693e-06,
|
611 |
+
"loss": 0.1786,
|
612 |
"step": 810
|
613 |
},
|
614 |
{
|
615 |
"epoch": 4.082162162162162,
|
616 |
+
"grad_norm": 0.050808586180210114,
|
617 |
"learning_rate": 6.310096153846154e-06,
|
618 |
+
"loss": 0.0783,
|
619 |
"step": 820
|
620 |
},
|
621 |
{
|
622 |
"epoch": 4.092972972972973,
|
623 |
+
"grad_norm": 0.037915121763944626,
|
624 |
"learning_rate": 5.709134615384616e-06,
|
625 |
+
"loss": 0.2292,
|
626 |
"step": 830
|
627 |
},
|
628 |
{
|
629 |
"epoch": 4.103783783783784,
|
630 |
+
"grad_norm": 2.1745355129241943,
|
631 |
"learning_rate": 5.108173076923077e-06,
|
632 |
+
"loss": 0.1868,
|
633 |
"step": 840
|
634 |
},
|
635 |
{
|
636 |
"epoch": 4.114594594594594,
|
637 |
+
"grad_norm": 0.020182184875011444,
|
638 |
"learning_rate": 4.507211538461539e-06,
|
639 |
+
"loss": 0.0016,
|
640 |
"step": 850
|
641 |
},
|
642 |
{
|
643 |
"epoch": 4.125405405405405,
|
644 |
+
"grad_norm": 23.419614791870117,
|
645 |
"learning_rate": 3.90625e-06,
|
646 |
+
"loss": 0.0688,
|
647 |
"step": 860
|
648 |
},
|
649 |
{
|
650 |
"epoch": 4.136216216216217,
|
651 |
+
"grad_norm": 0.5133500695228577,
|
652 |
"learning_rate": 3.3052884615384617e-06,
|
653 |
+
"loss": 0.0782,
|
654 |
"step": 870
|
655 |
},
|
656 |
{
|
657 |
"epoch": 4.147027027027027,
|
658 |
+
"grad_norm": 1.0855499505996704,
|
659 |
"learning_rate": 2.7043269230769233e-06,
|
660 |
+
"loss": 0.0486,
|
661 |
"step": 880
|
662 |
},
|
663 |
{
|
664 |
"epoch": 4.157837837837838,
|
665 |
+
"grad_norm": 0.05244865640997887,
|
666 |
"learning_rate": 2.103365384615385e-06,
|
667 |
+
"loss": 0.0217,
|
668 |
"step": 890
|
669 |
},
|
670 |
{
|
671 |
"epoch": 4.168648648648649,
|
672 |
+
"grad_norm": 0.013233544304966927,
|
673 |
"learning_rate": 1.5024038461538464e-06,
|
674 |
+
"loss": 0.2434,
|
675 |
"step": 900
|
676 |
},
|
677 |
{
|
678 |
"epoch": 4.179459459459459,
|
679 |
+
"grad_norm": 12.086763381958008,
|
680 |
"learning_rate": 9.014423076923077e-07,
|
681 |
+
"loss": 0.0501,
|
682 |
"step": 910
|
683 |
},
|
684 |
{
|
685 |
"epoch": 4.19027027027027,
|
686 |
+
"grad_norm": 0.0869203507900238,
|
687 |
"learning_rate": 3.0048076923076924e-07,
|
688 |
+
"loss": 0.0159,
|
689 |
"step": 920
|
690 |
},
|
691 |
{
|
692 |
"epoch": 4.195675675675676,
|
693 |
+
"eval_accuracy": 0.8381742738589212,
|
694 |
+
"eval_loss": 0.6192311644554138,
|
695 |
+
"eval_runtime": 401.9033,
|
696 |
+
"eval_samples_per_second": 0.6,
|
697 |
+
"eval_steps_per_second": 0.152,
|
698 |
"step": 925
|
699 |
},
|
700 |
{
|
701 |
"epoch": 4.195675675675676,
|
702 |
"step": 925,
|
703 |
"total_flos": 3.2312722580082524e+18,
|
704 |
+
"train_loss": 0.3796664474924674,
|
705 |
+
"train_runtime": 18773.5619,
|
706 |
+
"train_samples_per_second": 0.197,
|
707 |
+
"train_steps_per_second": 0.049
|
708 |
},
|
709 |
{
|
710 |
"epoch": 4.195675675675676,
|
711 |
+
"eval_accuracy": 0.9770580296896086,
|
712 |
+
"eval_loss": 0.11411414295434952,
|
713 |
+
"eval_runtime": 1291.965,
|
714 |
+
"eval_samples_per_second": 0.574,
|
715 |
+
"eval_steps_per_second": 0.144,
|
716 |
"step": 925
|
717 |
},
|
718 |
{
|
719 |
"epoch": 4.195675675675676,
|
720 |
+
"eval_accuracy": 0.8134831460674158,
|
721 |
+
"eval_loss": 0.7141955494880676,
|
722 |
+
"eval_runtime": 720.0647,
|
723 |
+
"eval_samples_per_second": 0.618,
|
724 |
+
"eval_steps_per_second": 0.156,
|
725 |
"step": 925
|
726 |
},
|
727 |
{
|
728 |
"epoch": 4.195675675675676,
|
729 |
+
"eval_accuracy": 0.8381742738589212,
|
730 |
+
"eval_loss": 0.6192311644554138,
|
731 |
+
"eval_runtime": 391.274,
|
732 |
+
"eval_samples_per_second": 0.616,
|
733 |
+
"eval_steps_per_second": 0.156,
|
734 |
"step": 925
|
735 |
}
|
736 |
],
|
val_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 4.195675675675676,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 0.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 4.195675675675676,
|
3 |
+
"eval_accuracy": 0.8381742738589212,
|
4 |
+
"eval_loss": 0.6192311644554138,
|
5 |
+
"eval_runtime": 391.274,
|
6 |
+
"eval_samples_per_second": 0.616,
|
7 |
+
"eval_steps_per_second": 0.156
|
8 |
}
|