End of training
Browse files
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 2.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 5.
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 7.12,
|
3 |
+
"eval_accuracy": 0.225,
|
4 |
+
"eval_loss": 2.501384973526001,
|
5 |
+
"eval_runtime": 945.2716,
|
6 |
+
"eval_samples_per_second": 5.247,
|
7 |
+
"eval_steps_per_second": 0.656
|
8 |
}
|
runs/Mar17_19-35-48_500f3adbbe43/events.out.tfevents.1710729400.500f3adbbe43.26.1
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9a8ae09f173638e3a9b5cf378ee3b2bb4856529d7bcaabbb980f10e6a01cbe73
|
3 |
+
size 734
|
test_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 2.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 5.
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 7.12,
|
3 |
+
"eval_accuracy": 0.225,
|
4 |
+
"eval_loss": 2.501384973526001,
|
5 |
+
"eval_runtime": 945.2716,
|
6 |
+
"eval_samples_per_second": 5.247,
|
7 |
+
"eval_steps_per_second": 0.656
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "videomae-base-finetuned-ucfcrime-full2/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 700,
|
7 |
"is_hyper_param_search": false,
|
@@ -10,1055 +10,601 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.01,
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate": 3.5714285714285714e-06,
|
15 |
-
"loss": 2.6878,
|
16 |
-
"step": 5
|
17 |
-
},
|
18 |
-
{
|
19 |
-
"epoch": 0.01,
|
20 |
-
"grad_norm": 21.39861297607422,
|
21 |
"learning_rate": 7.142857142857143e-06,
|
22 |
-
"loss": 2.
|
23 |
"step": 10
|
24 |
},
|
25 |
-
{
|
26 |
-
"epoch": 0.02,
|
27 |
-
"grad_norm": 17.860671997070312,
|
28 |
-
"learning_rate": 1.0714285714285714e-05,
|
29 |
-
"loss": 2.7214,
|
30 |
-
"step": 15
|
31 |
-
},
|
32 |
{
|
33 |
"epoch": 0.03,
|
34 |
-
"grad_norm":
|
35 |
"learning_rate": 1.4285714285714285e-05,
|
36 |
-
"loss": 2.
|
37 |
"step": 20
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.04,
|
41 |
-
"grad_norm":
|
42 |
-
"learning_rate": 1.785714285714286e-05,
|
43 |
-
"loss": 2.689,
|
44 |
-
"step": 25
|
45 |
-
},
|
46 |
-
{
|
47 |
-
"epoch": 0.04,
|
48 |
-
"grad_norm": 12.049698829650879,
|
49 |
"learning_rate": 2.1428571428571428e-05,
|
50 |
-
"loss": 2.
|
51 |
"step": 30
|
52 |
},
|
53 |
-
{
|
54 |
-
"epoch": 0.05,
|
55 |
-
"grad_norm": 13.192450523376465,
|
56 |
-
"learning_rate": 2.5e-05,
|
57 |
-
"loss": 2.5365,
|
58 |
-
"step": 35
|
59 |
-
},
|
60 |
{
|
61 |
"epoch": 0.06,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 2.857142857142857e-05,
|
64 |
-
"loss": 2.
|
65 |
"step": 40
|
66 |
},
|
67 |
-
{
|
68 |
-
"epoch": 0.06,
|
69 |
-
"grad_norm": 10.616167068481445,
|
70 |
-
"learning_rate": 3.2142857142857144e-05,
|
71 |
-
"loss": 2.7132,
|
72 |
-
"step": 45
|
73 |
-
},
|
74 |
{
|
75 |
"epoch": 0.07,
|
76 |
-
"grad_norm":
|
77 |
"learning_rate": 3.571428571428572e-05,
|
78 |
-
"loss": 2.
|
79 |
"step": 50
|
80 |
},
|
81 |
-
{
|
82 |
-
"epoch": 0.08,
|
83 |
-
"grad_norm": 8.298579216003418,
|
84 |
-
"learning_rate": 3.928571428571429e-05,
|
85 |
-
"loss": 2.4331,
|
86 |
-
"step": 55
|
87 |
-
},
|
88 |
{
|
89 |
"epoch": 0.09,
|
90 |
-
"grad_norm":
|
91 |
"learning_rate": 4.2857142857142856e-05,
|
92 |
-
"loss": 2.
|
93 |
"step": 60
|
94 |
},
|
95 |
-
{
|
96 |
-
"epoch": 0.09,
|
97 |
-
"grad_norm": 10.443252563476562,
|
98 |
-
"learning_rate": 4.642857142857143e-05,
|
99 |
-
"loss": 2.7184,
|
100 |
-
"step": 65
|
101 |
-
},
|
102 |
{
|
103 |
"epoch": 0.1,
|
104 |
-
"grad_norm":
|
105 |
"learning_rate": 5e-05,
|
106 |
-
"loss": 2.
|
107 |
"step": 70
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.11,
|
111 |
-
"grad_norm": 8.
|
112 |
-
"learning_rate": 4.960317460317461e-05,
|
113 |
-
"loss": 2.3317,
|
114 |
-
"step": 75
|
115 |
-
},
|
116 |
-
{
|
117 |
-
"epoch": 0.11,
|
118 |
-
"grad_norm": 9.528456687927246,
|
119 |
"learning_rate": 4.9206349206349204e-05,
|
120 |
-
"loss": 2.
|
121 |
"step": 80
|
122 |
},
|
123 |
{
|
124 |
-
"epoch": 0.
|
125 |
-
"
|
126 |
-
"
|
127 |
-
"
|
128 |
-
"
|
|
|
|
|
129 |
},
|
130 |
{
|
131 |
-
"epoch": 0
|
132 |
-
"grad_norm":
|
133 |
"learning_rate": 4.841269841269841e-05,
|
134 |
-
"loss": 2.
|
135 |
"step": 90
|
136 |
},
|
137 |
{
|
138 |
-
"epoch":
|
139 |
-
"grad_norm":
|
140 |
-
"learning_rate": 4.801587301587302e-05,
|
141 |
-
"loss": 2.4065,
|
142 |
-
"step": 95
|
143 |
-
},
|
144 |
-
{
|
145 |
-
"epoch": 0.14,
|
146 |
-
"grad_norm": 10.122940063476562,
|
147 |
"learning_rate": 4.761904761904762e-05,
|
148 |
-
"loss": 2.
|
149 |
"step": 100
|
150 |
},
|
151 |
{
|
152 |
-
"epoch":
|
153 |
-
"grad_norm":
|
154 |
-
"learning_rate": 4.722222222222222e-05,
|
155 |
-
"loss": 2.5572,
|
156 |
-
"step": 105
|
157 |
-
},
|
158 |
-
{
|
159 |
-
"epoch": 0.16,
|
160 |
-
"grad_norm": 10.649138450622559,
|
161 |
"learning_rate": 4.682539682539683e-05,
|
162 |
-
"loss": 2.
|
163 |
"step": 110
|
164 |
},
|
165 |
{
|
166 |
-
"epoch":
|
167 |
-
"grad_norm":
|
168 |
-
"learning_rate": 4.642857142857143e-05,
|
169 |
-
"loss": 2.6114,
|
170 |
-
"step": 115
|
171 |
-
},
|
172 |
-
{
|
173 |
-
"epoch": 0.17,
|
174 |
-
"grad_norm": 7.953385829925537,
|
175 |
"learning_rate": 4.603174603174603e-05,
|
176 |
-
"loss": 2.
|
177 |
"step": 120
|
178 |
},
|
179 |
{
|
180 |
-
"epoch":
|
181 |
-
"grad_norm":
|
182 |
-
"learning_rate": 4.563492063492064e-05,
|
183 |
-
"loss": 2.6787,
|
184 |
-
"step": 125
|
185 |
-
},
|
186 |
-
{
|
187 |
-
"epoch": 0.19,
|
188 |
-
"grad_norm": 8.697818756103516,
|
189 |
"learning_rate": 4.523809523809524e-05,
|
190 |
-
"loss": 2.
|
191 |
"step": 130
|
192 |
},
|
193 |
{
|
194 |
-
"epoch":
|
195 |
-
"grad_norm":
|
196 |
-
"learning_rate": 4.4841269841269846e-05,
|
197 |
-
"loss": 2.6221,
|
198 |
-
"step": 135
|
199 |
-
},
|
200 |
-
{
|
201 |
-
"epoch": 0.2,
|
202 |
-
"grad_norm": 9.103715896606445,
|
203 |
"learning_rate": 4.4444444444444447e-05,
|
204 |
-
"loss": 2.
|
205 |
"step": 140
|
206 |
},
|
207 |
{
|
208 |
-
"epoch":
|
209 |
-
"grad_norm":
|
210 |
-
"learning_rate": 4.404761904761905e-05,
|
211 |
-
"loss": 2.6136,
|
212 |
-
"step": 145
|
213 |
-
},
|
214 |
-
{
|
215 |
-
"epoch": 0.21,
|
216 |
-
"grad_norm": 10.060530662536621,
|
217 |
"learning_rate": 4.3650793650793655e-05,
|
218 |
-
"loss": 2.
|
219 |
"step": 150
|
220 |
},
|
221 |
{
|
222 |
-
"epoch":
|
223 |
-
"grad_norm":
|
224 |
-
"learning_rate": 4.3253968253968256e-05,
|
225 |
-
"loss": 2.571,
|
226 |
-
"step": 155
|
227 |
-
},
|
228 |
-
{
|
229 |
-
"epoch": 0.23,
|
230 |
-
"grad_norm": 11.69568157196045,
|
231 |
"learning_rate": 4.2857142857142856e-05,
|
232 |
-
"loss": 2.
|
233 |
"step": 160
|
234 |
},
|
235 |
{
|
236 |
-
"epoch":
|
237 |
-
"grad_norm":
|
238 |
-
"learning_rate": 4.2460317460317464e-05,
|
239 |
-
"loss": 2.4975,
|
240 |
-
"step": 165
|
241 |
-
},
|
242 |
-
{
|
243 |
-
"epoch": 0.24,
|
244 |
-
"grad_norm": 8.202585220336914,
|
245 |
"learning_rate": 4.2063492063492065e-05,
|
246 |
-
"loss": 2.
|
247 |
"step": 170
|
248 |
},
|
249 |
{
|
250 |
-
"epoch":
|
251 |
-
"
|
252 |
-
"
|
253 |
-
"
|
254 |
-
"
|
255 |
-
|
256 |
-
|
257 |
-
"epoch": 0.25,
|
258 |
-
"eval_accuracy": 0.17190058044351839,
|
259 |
-
"eval_loss": 2.5464329719543457,
|
260 |
-
"eval_runtime": 2790.7409,
|
261 |
-
"eval_samples_per_second": 4.815,
|
262 |
-
"eval_steps_per_second": 1.204,
|
263 |
-
"step": 175
|
264 |
},
|
265 |
{
|
266 |
-
"epoch":
|
267 |
-
"grad_norm": 8.
|
268 |
"learning_rate": 4.126984126984127e-05,
|
269 |
-
"loss": 2.
|
270 |
"step": 180
|
271 |
},
|
272 |
{
|
273 |
-
"epoch":
|
274 |
-
"grad_norm": 7.
|
275 |
-
"learning_rate": 4.0873015873015874e-05,
|
276 |
-
"loss": 2.6691,
|
277 |
-
"step": 185
|
278 |
-
},
|
279 |
-
{
|
280 |
-
"epoch": 1.02,
|
281 |
-
"grad_norm": 7.451665878295898,
|
282 |
"learning_rate": 4.047619047619048e-05,
|
283 |
-
"loss": 2.
|
284 |
"step": 190
|
285 |
},
|
286 |
{
|
287 |
-
"epoch":
|
288 |
-
"grad_norm":
|
289 |
-
"learning_rate": 4.007936507936508e-05,
|
290 |
-
"loss": 2.7581,
|
291 |
-
"step": 195
|
292 |
-
},
|
293 |
-
{
|
294 |
-
"epoch": 1.04,
|
295 |
-
"grad_norm": 8.437348365783691,
|
296 |
"learning_rate": 3.968253968253968e-05,
|
297 |
-
"loss": 2.
|
298 |
"step": 200
|
299 |
},
|
300 |
{
|
301 |
-
"epoch":
|
302 |
-
"grad_norm":
|
303 |
-
"learning_rate": 3.928571428571429e-05,
|
304 |
-
"loss": 2.7035,
|
305 |
-
"step": 205
|
306 |
-
},
|
307 |
-
{
|
308 |
-
"epoch": 1.05,
|
309 |
-
"grad_norm": 7.769816875457764,
|
310 |
"learning_rate": 3.888888888888889e-05,
|
311 |
-
"loss": 2.
|
312 |
"step": 210
|
313 |
},
|
314 |
{
|
315 |
-
"epoch":
|
316 |
-
"grad_norm":
|
317 |
-
"learning_rate": 3.84920634920635e-05,
|
318 |
-
"loss": 2.5088,
|
319 |
-
"step": 215
|
320 |
-
},
|
321 |
-
{
|
322 |
-
"epoch": 1.06,
|
323 |
-
"grad_norm": 7.872964859008789,
|
324 |
"learning_rate": 3.809523809523809e-05,
|
325 |
-
"loss": 2.
|
326 |
"step": 220
|
327 |
},
|
328 |
{
|
329 |
-
"epoch":
|
330 |
-
"grad_norm":
|
331 |
-
"learning_rate": 3.76984126984127e-05,
|
332 |
-
"loss": 2.6319,
|
333 |
-
"step": 225
|
334 |
-
},
|
335 |
-
{
|
336 |
-
"epoch": 1.08,
|
337 |
-
"grad_norm": 7.4448394775390625,
|
338 |
"learning_rate": 3.730158730158731e-05,
|
339 |
-
"loss": 2.
|
340 |
"step": 230
|
341 |
},
|
342 |
{
|
343 |
-
"epoch":
|
344 |
-
"grad_norm":
|
345 |
-
"learning_rate": 3.690476190476191e-05,
|
346 |
-
"loss": 2.4276,
|
347 |
-
"step": 235
|
348 |
-
},
|
349 |
-
{
|
350 |
-
"epoch": 1.09,
|
351 |
-
"grad_norm": 7.45771598815918,
|
352 |
"learning_rate": 3.650793650793651e-05,
|
353 |
-
"loss": 2.
|
354 |
"step": 240
|
355 |
},
|
356 |
{
|
357 |
-
"epoch":
|
358 |
-
"grad_norm":
|
359 |
-
"learning_rate": 3.611111111111111e-05,
|
360 |
-
"loss": 2.4295,
|
361 |
-
"step": 245
|
362 |
-
},
|
363 |
-
{
|
364 |
-
"epoch": 1.11,
|
365 |
-
"grad_norm": 7.304623603820801,
|
366 |
"learning_rate": 3.571428571428572e-05,
|
367 |
-
"loss": 2.
|
368 |
"step": 250
|
369 |
},
|
370 |
{
|
371 |
-
"epoch":
|
372 |
-
"grad_norm": 8.
|
373 |
-
"learning_rate": 3.5317460317460324e-05,
|
374 |
-
"loss": 2.5164,
|
375 |
-
"step": 255
|
376 |
-
},
|
377 |
-
{
|
378 |
-
"epoch": 1.12,
|
379 |
-
"grad_norm": 6.037725448608398,
|
380 |
"learning_rate": 3.492063492063492e-05,
|
381 |
-
"loss": 2.
|
382 |
"step": 260
|
383 |
},
|
384 |
{
|
385 |
-
"epoch":
|
386 |
-
"
|
387 |
-
"
|
388 |
-
"
|
389 |
-
"
|
|
|
|
|
390 |
},
|
391 |
{
|
392 |
-
"epoch":
|
393 |
-
"grad_norm":
|
394 |
"learning_rate": 3.412698412698413e-05,
|
395 |
-
"loss": 2.
|
396 |
"step": 270
|
397 |
},
|
398 |
{
|
399 |
-
"epoch":
|
400 |
-
"grad_norm":
|
401 |
-
"learning_rate": 3.3730158730158734e-05,
|
402 |
-
"loss": 2.5689,
|
403 |
-
"step": 275
|
404 |
-
},
|
405 |
-
{
|
406 |
-
"epoch": 1.15,
|
407 |
-
"grad_norm": 8.133126258850098,
|
408 |
"learning_rate": 3.3333333333333335e-05,
|
409 |
-
"loss": 2.
|
410 |
"step": 280
|
411 |
},
|
412 |
{
|
413 |
-
"epoch":
|
414 |
-
"grad_norm":
|
415 |
-
"learning_rate": 3.2936507936507936e-05,
|
416 |
-
"loss": 2.4184,
|
417 |
-
"step": 285
|
418 |
-
},
|
419 |
-
{
|
420 |
-
"epoch": 1.16,
|
421 |
-
"grad_norm": 7.738976001739502,
|
422 |
"learning_rate": 3.253968253968254e-05,
|
423 |
-
"loss": 2.
|
424 |
"step": 290
|
425 |
},
|
426 |
{
|
427 |
-
"epoch":
|
428 |
-
"grad_norm":
|
429 |
-
"learning_rate": 3.2142857142857144e-05,
|
430 |
-
"loss": 2.3066,
|
431 |
-
"step": 295
|
432 |
-
},
|
433 |
-
{
|
434 |
-
"epoch": 1.18,
|
435 |
-
"grad_norm": 7.5370588302612305,
|
436 |
"learning_rate": 3.1746031746031745e-05,
|
437 |
-
"loss": 2.
|
438 |
"step": 300
|
439 |
},
|
440 |
{
|
441 |
-
"epoch":
|
442 |
-
"grad_norm": 7.
|
443 |
-
"learning_rate": 3.134920634920635e-05,
|
444 |
-
"loss": 2.4807,
|
445 |
-
"step": 305
|
446 |
-
},
|
447 |
-
{
|
448 |
-
"epoch": 1.19,
|
449 |
-
"grad_norm": 8.314027786254883,
|
450 |
"learning_rate": 3.095238095238095e-05,
|
451 |
-
"loss": 2.
|
452 |
"step": 310
|
453 |
},
|
454 |
{
|
455 |
-
"epoch":
|
456 |
-
"grad_norm":
|
457 |
-
"learning_rate": 3.055555555555556e-05,
|
458 |
-
"loss": 2.5207,
|
459 |
-
"step": 315
|
460 |
-
},
|
461 |
-
{
|
462 |
-
"epoch": 1.21,
|
463 |
-
"grad_norm": 8.472153663635254,
|
464 |
"learning_rate": 3.0158730158730158e-05,
|
465 |
-
"loss": 2.
|
466 |
"step": 320
|
467 |
},
|
468 |
{
|
469 |
-
"epoch":
|
470 |
-
"grad_norm": 8.
|
471 |
-
"learning_rate": 2.9761904761904762e-05,
|
472 |
-
"loss": 2.5238,
|
473 |
-
"step": 325
|
474 |
-
},
|
475 |
-
{
|
476 |
-
"epoch": 1.22,
|
477 |
-
"grad_norm": 8.0416898727417,
|
478 |
"learning_rate": 2.9365079365079366e-05,
|
479 |
-
"loss": 2.
|
480 |
"step": 330
|
481 |
},
|
482 |
{
|
483 |
-
"epoch":
|
484 |
-
"grad_norm":
|
485 |
-
"learning_rate": 2.8968253968253974e-05,
|
486 |
-
"loss": 2.3977,
|
487 |
-
"step": 335
|
488 |
-
},
|
489 |
-
{
|
490 |
-
"epoch": 1.24,
|
491 |
-
"grad_norm": 8.505749702453613,
|
492 |
"learning_rate": 2.857142857142857e-05,
|
493 |
-
"loss":
|
494 |
"step": 340
|
495 |
},
|
496 |
{
|
497 |
-
"epoch":
|
498 |
-
"grad_norm": 7.
|
499 |
-
"learning_rate": 2.8174603174603175e-05,
|
500 |
-
"loss": 1.993,
|
501 |
-
"step": 345
|
502 |
-
},
|
503 |
-
{
|
504 |
-
"epoch": 1.25,
|
505 |
-
"grad_norm": 8.76427936553955,
|
506 |
"learning_rate": 2.777777777777778e-05,
|
507 |
-
"loss":
|
508 |
"step": 350
|
509 |
},
|
510 |
{
|
511 |
-
"epoch":
|
512 |
-
"eval_accuracy": 0.
|
513 |
-
"eval_loss": 2.
|
514 |
-
"eval_runtime":
|
515 |
-
"eval_samples_per_second":
|
516 |
-
"eval_steps_per_second":
|
517 |
-
"step":
|
518 |
-
},
|
519 |
-
{
|
520 |
-
"epoch": 2.01,
|
521 |
-
"grad_norm": 9.777434349060059,
|
522 |
-
"learning_rate": 2.7380952380952383e-05,
|
523 |
-
"loss": 2.3064,
|
524 |
-
"step": 355
|
525 |
},
|
526 |
{
|
527 |
-
"epoch":
|
528 |
-
"grad_norm":
|
529 |
"learning_rate": 2.6984126984126984e-05,
|
530 |
-
"loss":
|
531 |
"step": 360
|
532 |
},
|
533 |
{
|
534 |
-
"epoch":
|
535 |
-
"grad_norm":
|
536 |
-
"learning_rate": 2.6587301587301588e-05,
|
537 |
-
"loss": 2.3623,
|
538 |
-
"step": 365
|
539 |
-
},
|
540 |
-
{
|
541 |
-
"epoch": 2.03,
|
542 |
-
"grad_norm": 9.471118927001953,
|
543 |
"learning_rate": 2.6190476190476192e-05,
|
544 |
-
"loss":
|
545 |
"step": 370
|
546 |
},
|
547 |
{
|
548 |
-
"epoch":
|
549 |
-
"grad_norm":
|
550 |
-
"learning_rate": 2.5793650793650796e-05,
|
551 |
-
"loss": 2.6313,
|
552 |
-
"step": 375
|
553 |
-
},
|
554 |
-
{
|
555 |
-
"epoch": 2.04,
|
556 |
-
"grad_norm": 9.770784378051758,
|
557 |
"learning_rate": 2.5396825396825397e-05,
|
558 |
-
"loss": 2.
|
559 |
"step": 380
|
560 |
},
|
561 |
{
|
562 |
-
"epoch":
|
563 |
-
"grad_norm":
|
564 |
-
"learning_rate": 2.5e-05,
|
565 |
-
"loss": 2.4206,
|
566 |
-
"step": 385
|
567 |
-
},
|
568 |
-
{
|
569 |
-
"epoch": 2.06,
|
570 |
-
"grad_norm": 10.88526725769043,
|
571 |
"learning_rate": 2.4603174603174602e-05,
|
572 |
-
"loss": 2.
|
573 |
"step": 390
|
574 |
},
|
575 |
{
|
576 |
-
"epoch":
|
577 |
-
"grad_norm":
|
578 |
-
"learning_rate": 2.4206349206349206e-05,
|
579 |
-
"loss": 2.3234,
|
580 |
-
"step": 395
|
581 |
-
},
|
582 |
-
{
|
583 |
-
"epoch": 2.07,
|
584 |
-
"grad_norm": 10.911561012268066,
|
585 |
"learning_rate": 2.380952380952381e-05,
|
586 |
-
"loss": 2.
|
587 |
"step": 400
|
588 |
},
|
589 |
{
|
590 |
-
"epoch":
|
591 |
-
"grad_norm":
|
592 |
-
"learning_rate": 2.3412698412698414e-05,
|
593 |
-
"loss": 2.209,
|
594 |
-
"step": 405
|
595 |
-
},
|
596 |
-
{
|
597 |
-
"epoch": 2.09,
|
598 |
-
"grad_norm": 10.131900787353516,
|
599 |
"learning_rate": 2.3015873015873015e-05,
|
600 |
-
"loss": 2.
|
601 |
"step": 410
|
602 |
},
|
603 |
{
|
604 |
-
"epoch":
|
605 |
-
"grad_norm":
|
606 |
-
"learning_rate": 2.261904761904762e-05,
|
607 |
-
"loss": 2.2815,
|
608 |
-
"step": 415
|
609 |
-
},
|
610 |
-
{
|
611 |
-
"epoch": 2.1,
|
612 |
-
"grad_norm": 8.873805046081543,
|
613 |
"learning_rate": 2.2222222222222223e-05,
|
614 |
-
"loss": 2.
|
615 |
"step": 420
|
616 |
},
|
617 |
{
|
618 |
-
"epoch":
|
619 |
-
"grad_norm":
|
620 |
-
"learning_rate": 2.1825396825396827e-05,
|
621 |
-
"loss": 2.4577,
|
622 |
-
"step": 425
|
623 |
-
},
|
624 |
-
{
|
625 |
-
"epoch": 2.11,
|
626 |
-
"grad_norm": 9.494528770446777,
|
627 |
"learning_rate": 2.1428571428571428e-05,
|
628 |
-
"loss": 2.
|
629 |
"step": 430
|
630 |
},
|
631 |
{
|
632 |
-
"epoch":
|
633 |
-
"grad_norm":
|
634 |
-
"learning_rate": 2.1031746031746032e-05,
|
635 |
-
"loss": 2.1842,
|
636 |
-
"step": 435
|
637 |
-
},
|
638 |
-
{
|
639 |
-
"epoch": 2.13,
|
640 |
-
"grad_norm": 11.144043922424316,
|
641 |
"learning_rate": 2.0634920634920636e-05,
|
642 |
-
"loss": 2.
|
643 |
"step": 440
|
644 |
},
|
645 |
{
|
646 |
-
"epoch":
|
647 |
-
"
|
648 |
-
"
|
649 |
-
"
|
650 |
-
"
|
|
|
|
|
651 |
},
|
652 |
{
|
653 |
-
"epoch":
|
654 |
-
"grad_norm":
|
655 |
"learning_rate": 1.984126984126984e-05,
|
656 |
-
"loss":
|
657 |
"step": 450
|
658 |
},
|
659 |
{
|
660 |
-
"epoch":
|
661 |
-
"grad_norm":
|
662 |
-
"learning_rate": 1.9444444444444445e-05,
|
663 |
-
"loss": 2.385,
|
664 |
-
"step": 455
|
665 |
-
},
|
666 |
-
{
|
667 |
-
"epoch": 2.16,
|
668 |
-
"grad_norm": 15.662388801574707,
|
669 |
"learning_rate": 1.9047619047619046e-05,
|
670 |
-
"loss":
|
671 |
"step": 460
|
672 |
},
|
673 |
{
|
674 |
-
"epoch":
|
675 |
-
"grad_norm":
|
676 |
-
"learning_rate": 1.8650793650793654e-05,
|
677 |
-
"loss": 2.3551,
|
678 |
-
"step": 465
|
679 |
-
},
|
680 |
-
{
|
681 |
-
"epoch": 2.17,
|
682 |
-
"grad_norm": 8.680765151977539,
|
683 |
"learning_rate": 1.8253968253968254e-05,
|
684 |
-
"loss":
|
685 |
"step": 470
|
686 |
},
|
687 |
{
|
688 |
-
"epoch":
|
689 |
-
"grad_norm":
|
690 |
-
"learning_rate": 1.785714285714286e-05,
|
691 |
-
"loss": 2.2117,
|
692 |
-
"step": 475
|
693 |
-
},
|
694 |
-
{
|
695 |
-
"epoch": 2.19,
|
696 |
-
"grad_norm": 8.637816429138184,
|
697 |
"learning_rate": 1.746031746031746e-05,
|
698 |
-
"loss":
|
699 |
"step": 480
|
700 |
},
|
701 |
{
|
702 |
-
"epoch":
|
703 |
-
"grad_norm":
|
704 |
-
"learning_rate": 1.7063492063492063e-05,
|
705 |
-
"loss": 2.5038,
|
706 |
-
"step": 485
|
707 |
-
},
|
708 |
-
{
|
709 |
-
"epoch": 2.2,
|
710 |
-
"grad_norm": 9.811333656311035,
|
711 |
"learning_rate": 1.6666666666666667e-05,
|
712 |
-
"loss": 2.
|
713 |
"step": 490
|
714 |
},
|
715 |
{
|
716 |
-
"epoch":
|
717 |
-
"grad_norm": 9.
|
718 |
-
"learning_rate": 1.626984126984127e-05,
|
719 |
-
"loss": 2.7302,
|
720 |
-
"step": 495
|
721 |
-
},
|
722 |
-
{
|
723 |
-
"epoch": 2.21,
|
724 |
-
"grad_norm": 8.803714752197266,
|
725 |
"learning_rate": 1.5873015873015872e-05,
|
726 |
-
"loss": 2.
|
727 |
"step": 500
|
728 |
},
|
729 |
{
|
730 |
-
"epoch":
|
731 |
-
"grad_norm":
|
732 |
-
"learning_rate": 1.5476190476190476e-05,
|
733 |
-
"loss": 2.3112,
|
734 |
-
"step": 505
|
735 |
-
},
|
736 |
-
{
|
737 |
-
"epoch": 2.23,
|
738 |
-
"grad_norm": 8.800261497497559,
|
739 |
"learning_rate": 1.5079365079365079e-05,
|
740 |
-
"loss":
|
741 |
"step": 510
|
742 |
},
|
743 |
{
|
744 |
-
"epoch":
|
745 |
-
"grad_norm":
|
746 |
-
"learning_rate": 1.4682539682539683e-05,
|
747 |
-
"loss": 2.4612,
|
748 |
-
"step": 515
|
749 |
-
},
|
750 |
-
{
|
751 |
-
"epoch": 2.24,
|
752 |
-
"grad_norm": 11.743760108947754,
|
753 |
"learning_rate": 1.4285714285714285e-05,
|
754 |
-
"loss":
|
755 |
"step": 520
|
756 |
},
|
757 |
{
|
758 |
-
"epoch":
|
759 |
-
"
|
760 |
-
"
|
761 |
-
"
|
762 |
-
"
|
763 |
-
|
764 |
-
|
765 |
-
"epoch": 2.25,
|
766 |
-
"eval_accuracy": 0.13528798928411967,
|
767 |
-
"eval_loss": 2.775129556655884,
|
768 |
-
"eval_runtime": 2705.5287,
|
769 |
-
"eval_samples_per_second": 4.967,
|
770 |
-
"eval_steps_per_second": 1.242,
|
771 |
-
"step": 525
|
772 |
},
|
773 |
{
|
774 |
-
"epoch":
|
775 |
-
"grad_norm":
|
776 |
"learning_rate": 1.3492063492063492e-05,
|
777 |
-
"loss":
|
778 |
"step": 530
|
779 |
},
|
780 |
{
|
781 |
-
"epoch":
|
782 |
-
"grad_norm":
|
783 |
-
"learning_rate": 1.3095238095238096e-05,
|
784 |
-
"loss": 2.7047,
|
785 |
-
"step": 535
|
786 |
-
},
|
787 |
-
{
|
788 |
-
"epoch": 3.02,
|
789 |
-
"grad_norm": 9.126996040344238,
|
790 |
"learning_rate": 1.2698412698412699e-05,
|
791 |
-
"loss":
|
792 |
"step": 540
|
793 |
},
|
794 |
{
|
795 |
-
"epoch":
|
796 |
-
"grad_norm": 8.
|
797 |
-
"learning_rate": 1.2301587301587301e-05,
|
798 |
-
"loss": 2.292,
|
799 |
-
"step": 545
|
800 |
-
},
|
801 |
-
{
|
802 |
-
"epoch": 3.04,
|
803 |
-
"grad_norm": 9.275003433227539,
|
804 |
"learning_rate": 1.1904761904761905e-05,
|
805 |
-
"loss":
|
806 |
"step": 550
|
807 |
},
|
808 |
{
|
809 |
-
"epoch":
|
810 |
-
"grad_norm":
|
811 |
-
"learning_rate": 1.1507936507936508e-05,
|
812 |
-
"loss": 2.3276,
|
813 |
-
"step": 555
|
814 |
-
},
|
815 |
-
{
|
816 |
-
"epoch": 3.05,
|
817 |
-
"grad_norm": 9.327167510986328,
|
818 |
"learning_rate": 1.1111111111111112e-05,
|
819 |
-
"loss":
|
820 |
"step": 560
|
821 |
},
|
822 |
{
|
823 |
-
"epoch":
|
824 |
-
"grad_norm":
|
825 |
-
"learning_rate": 1.0714285714285714e-05,
|
826 |
-
"loss": 2.1437,
|
827 |
-
"step": 565
|
828 |
-
},
|
829 |
-
{
|
830 |
-
"epoch": 3.06,
|
831 |
-
"grad_norm": 10.702942848205566,
|
832 |
"learning_rate": 1.0317460317460318e-05,
|
833 |
-
"loss":
|
834 |
"step": 570
|
835 |
},
|
836 |
{
|
837 |
-
"epoch":
|
838 |
-
"grad_norm": 13.
|
839 |
-
"learning_rate": 9.92063492063492e-06,
|
840 |
-
"loss": 2.5248,
|
841 |
-
"step": 575
|
842 |
-
},
|
843 |
-
{
|
844 |
-
"epoch": 3.08,
|
845 |
-
"grad_norm": 7.934788227081299,
|
846 |
"learning_rate": 9.523809523809523e-06,
|
847 |
-
"loss":
|
848 |
"step": 580
|
849 |
},
|
850 |
{
|
851 |
-
"epoch":
|
852 |
-
"grad_norm":
|
853 |
-
"learning_rate": 9.126984126984127e-06,
|
854 |
-
"loss": 2.1392,
|
855 |
-
"step": 585
|
856 |
-
},
|
857 |
-
{
|
858 |
-
"epoch": 3.09,
|
859 |
-
"grad_norm": 11.382800102233887,
|
860 |
"learning_rate": 8.73015873015873e-06,
|
861 |
-
"loss":
|
862 |
"step": 590
|
863 |
},
|
864 |
{
|
865 |
-
"epoch":
|
866 |
-
"grad_norm":
|
867 |
-
"learning_rate": 8.333333333333334e-06,
|
868 |
-
"loss": 2.1905,
|
869 |
-
"step": 595
|
870 |
-
},
|
871 |
-
{
|
872 |
-
"epoch": 3.11,
|
873 |
-
"grad_norm": 9.530142784118652,
|
874 |
"learning_rate": 7.936507936507936e-06,
|
875 |
-
"loss":
|
876 |
"step": 600
|
877 |
},
|
878 |
{
|
879 |
-
"epoch":
|
880 |
-
"grad_norm":
|
881 |
-
"learning_rate": 7.5396825396825394e-06,
|
882 |
-
"loss": 2.4007,
|
883 |
-
"step": 605
|
884 |
-
},
|
885 |
-
{
|
886 |
-
"epoch": 3.12,
|
887 |
-
"grad_norm": 10.5969820022583,
|
888 |
"learning_rate": 7.142857142857143e-06,
|
889 |
-
"loss":
|
890 |
"step": 610
|
891 |
},
|
892 |
{
|
893 |
-
"epoch":
|
894 |
-
"
|
895 |
-
"
|
896 |
-
"
|
897 |
-
"
|
|
|
|
|
898 |
},
|
899 |
{
|
900 |
-
"epoch":
|
901 |
-
"grad_norm":
|
902 |
"learning_rate": 6.349206349206349e-06,
|
903 |
-
"loss":
|
904 |
"step": 620
|
905 |
},
|
906 |
{
|
907 |
-
"epoch":
|
908 |
-
"grad_norm":
|
909 |
-
"learning_rate": 5.9523809523809525e-06,
|
910 |
-
"loss": 2.2321,
|
911 |
-
"step": 625
|
912 |
-
},
|
913 |
-
{
|
914 |
-
"epoch": 3.15,
|
915 |
-
"grad_norm": 8.392168045043945,
|
916 |
"learning_rate": 5.555555555555556e-06,
|
917 |
-
"loss":
|
918 |
"step": 630
|
919 |
},
|
920 |
{
|
921 |
-
"epoch":
|
922 |
-
"grad_norm":
|
923 |
-
"learning_rate": 5.158730158730159e-06,
|
924 |
-
"loss": 2.2595,
|
925 |
-
"step": 635
|
926 |
-
},
|
927 |
-
{
|
928 |
-
"epoch": 3.16,
|
929 |
-
"grad_norm": 8.25489616394043,
|
930 |
"learning_rate": 4.7619047619047615e-06,
|
931 |
-
"loss":
|
932 |
"step": 640
|
933 |
},
|
934 |
{
|
935 |
-
"epoch":
|
936 |
-
"grad_norm":
|
937 |
-
"learning_rate": 4.365079365079365e-06,
|
938 |
-
"loss": 2.4893,
|
939 |
-
"step": 645
|
940 |
-
},
|
941 |
-
{
|
942 |
-
"epoch": 3.18,
|
943 |
-
"grad_norm": 10.919437408447266,
|
944 |
"learning_rate": 3.968253968253968e-06,
|
945 |
-
"loss":
|
946 |
"step": 650
|
947 |
},
|
948 |
{
|
949 |
-
"epoch":
|
950 |
-
"grad_norm":
|
951 |
-
"learning_rate": 3.5714285714285714e-06,
|
952 |
-
"loss": 2.1834,
|
953 |
-
"step": 655
|
954 |
-
},
|
955 |
-
{
|
956 |
-
"epoch": 3.19,
|
957 |
-
"grad_norm": 11.596048355102539,
|
958 |
"learning_rate": 3.1746031746031746e-06,
|
959 |
-
"loss":
|
960 |
"step": 660
|
961 |
},
|
962 |
{
|
963 |
-
"epoch":
|
964 |
-
"grad_norm": 11.
|
965 |
-
"learning_rate": 2.777777777777778e-06,
|
966 |
-
"loss": 2.3287,
|
967 |
-
"step": 665
|
968 |
-
},
|
969 |
-
{
|
970 |
-
"epoch": 3.21,
|
971 |
-
"grad_norm": 9.233076095581055,
|
972 |
"learning_rate": 2.3809523809523808e-06,
|
973 |
-
"loss":
|
974 |
"step": 670
|
975 |
},
|
976 |
{
|
977 |
-
"epoch":
|
978 |
-
"grad_norm":
|
979 |
-
"learning_rate": 1.984126984126984e-06,
|
980 |
-
"loss": 2.2577,
|
981 |
-
"step": 675
|
982 |
-
},
|
983 |
-
{
|
984 |
-
"epoch": 3.22,
|
985 |
-
"grad_norm": 8.783037185668945,
|
986 |
"learning_rate": 1.5873015873015873e-06,
|
987 |
-
"loss":
|
988 |
"step": 680
|
989 |
},
|
990 |
{
|
991 |
-
"epoch":
|
992 |
-
"grad_norm":
|
993 |
-
"learning_rate": 1.1904761904761904e-06,
|
994 |
-
"loss": 2.3779,
|
995 |
-
"step": 685
|
996 |
-
},
|
997 |
-
{
|
998 |
-
"epoch": 3.24,
|
999 |
-
"grad_norm": 9.461167335510254,
|
1000 |
"learning_rate": 7.936507936507937e-07,
|
1001 |
-
"loss": 1.
|
1002 |
"step": 690
|
1003 |
},
|
1004 |
{
|
1005 |
-
"epoch":
|
1006 |
-
"grad_norm":
|
1007 |
-
"learning_rate": 3.9682539682539683e-07,
|
1008 |
-
"loss": 2.0514,
|
1009 |
-
"step": 695
|
1010 |
-
},
|
1011 |
-
{
|
1012 |
-
"epoch": 3.25,
|
1013 |
-
"grad_norm": 11.628158569335938,
|
1014 |
"learning_rate": 0.0,
|
1015 |
-
"loss": 1.
|
1016 |
"step": 700
|
1017 |
},
|
1018 |
{
|
1019 |
-
"epoch":
|
1020 |
-
"eval_accuracy": 0.
|
1021 |
-
"eval_loss": 2.
|
1022 |
-
"eval_runtime":
|
1023 |
-
"eval_samples_per_second":
|
1024 |
-
"eval_steps_per_second":
|
1025 |
"step": 700
|
1026 |
},
|
1027 |
{
|
1028 |
-
"epoch":
|
1029 |
"step": 700,
|
1030 |
-
"total_flos":
|
1031 |
-
"train_loss": 2.
|
1032 |
-
"train_runtime":
|
1033 |
-
"train_samples_per_second": 0.
|
1034 |
-
"train_steps_per_second": 0.
|
1035 |
-
},
|
1036 |
-
{
|
1037 |
-
"epoch":
|
1038 |
-
"eval_accuracy": 0.
|
1039 |
-
"eval_loss": 2.
|
1040 |
-
"eval_runtime":
|
1041 |
-
"eval_samples_per_second": 5.
|
1042 |
-
"eval_steps_per_second":
|
1043 |
"step": 700
|
1044 |
},
|
1045 |
{
|
1046 |
-
"epoch":
|
1047 |
-
"eval_accuracy": 0.
|
1048 |
-
"eval_loss": 2.
|
1049 |
-
"eval_runtime":
|
1050 |
-
"eval_samples_per_second": 5.
|
1051 |
-
"eval_steps_per_second":
|
1052 |
"step": 700
|
1053 |
}
|
1054 |
],
|
1055 |
-
"logging_steps":
|
1056 |
"max_steps": 700,
|
1057 |
"num_input_tokens_seen": 0,
|
1058 |
"num_train_epochs": 9223372036854775807,
|
1059 |
"save_steps": 500,
|
1060 |
-
"total_flos":
|
1061 |
-
"train_batch_size":
|
1062 |
"trial_name": null,
|
1063 |
"trial_params": null
|
1064 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.23411221908022026,
|
3 |
+
"best_model_checkpoint": "videomae-base-finetuned-ucfcrime-full2/checkpoint-616",
|
4 |
+
"epoch": 7.12,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 700,
|
7 |
"is_hyper_param_search": false,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.01,
|
13 |
+
"grad_norm": 9.479973793029785,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
"learning_rate": 7.142857142857143e-06,
|
15 |
+
"loss": 2.6626,
|
16 |
"step": 10
|
17 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
18 |
{
|
19 |
"epoch": 0.03,
|
20 |
+
"grad_norm": 9.114124298095703,
|
21 |
"learning_rate": 1.4285714285714285e-05,
|
22 |
+
"loss": 2.6526,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.04,
|
27 |
+
"grad_norm": 8.465902328491211,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
28 |
"learning_rate": 2.1428571428571428e-05,
|
29 |
+
"loss": 2.6297,
|
30 |
"step": 30
|
31 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
32 |
{
|
33 |
"epoch": 0.06,
|
34 |
+
"grad_norm": 8.733708381652832,
|
35 |
"learning_rate": 2.857142857142857e-05,
|
36 |
+
"loss": 2.5219,
|
37 |
"step": 40
|
38 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
39 |
{
|
40 |
"epoch": 0.07,
|
41 |
+
"grad_norm": 7.121254920959473,
|
42 |
"learning_rate": 3.571428571428572e-05,
|
43 |
+
"loss": 2.5271,
|
44 |
"step": 50
|
45 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
{
|
47 |
"epoch": 0.09,
|
48 |
+
"grad_norm": 7.228466510772705,
|
49 |
"learning_rate": 4.2857142857142856e-05,
|
50 |
+
"loss": 2.5257,
|
51 |
"step": 60
|
52 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
53 |
{
|
54 |
"epoch": 0.1,
|
55 |
+
"grad_norm": 7.514686584472656,
|
56 |
"learning_rate": 5e-05,
|
57 |
+
"loss": 2.5942,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.11,
|
62 |
+
"grad_norm": 8.028372764587402,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
63 |
"learning_rate": 4.9206349206349204e-05,
|
64 |
+
"loss": 2.5836,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.13,
|
69 |
+
"eval_accuracy": 0.20799226075308827,
|
70 |
+
"eval_loss": 2.494396924972534,
|
71 |
+
"eval_runtime": 2684.2234,
|
72 |
+
"eval_samples_per_second": 5.006,
|
73 |
+
"eval_steps_per_second": 0.626,
|
74 |
+
"step": 88
|
75 |
},
|
76 |
{
|
77 |
+
"epoch": 1.0,
|
78 |
+
"grad_norm": 9.068702697753906,
|
79 |
"learning_rate": 4.841269841269841e-05,
|
80 |
+
"loss": 2.5532,
|
81 |
"step": 90
|
82 |
},
|
83 |
{
|
84 |
+
"epoch": 1.02,
|
85 |
+
"grad_norm": 9.19058609008789,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
86 |
"learning_rate": 4.761904761904762e-05,
|
87 |
+
"loss": 2.4752,
|
88 |
"step": 100
|
89 |
},
|
90 |
{
|
91 |
+
"epoch": 1.03,
|
92 |
+
"grad_norm": 6.300441741943359,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
93 |
"learning_rate": 4.682539682539683e-05,
|
94 |
+
"loss": 2.512,
|
95 |
"step": 110
|
96 |
},
|
97 |
{
|
98 |
+
"epoch": 1.05,
|
99 |
+
"grad_norm": 6.24762487411499,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
100 |
"learning_rate": 4.603174603174603e-05,
|
101 |
+
"loss": 2.6188,
|
102 |
"step": 120
|
103 |
},
|
104 |
{
|
105 |
+
"epoch": 1.06,
|
106 |
+
"grad_norm": 6.59229850769043,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
107 |
"learning_rate": 4.523809523809524e-05,
|
108 |
+
"loss": 2.3887,
|
109 |
"step": 130
|
110 |
},
|
111 |
{
|
112 |
+
"epoch": 1.07,
|
113 |
+
"grad_norm": 7.241441249847412,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
114 |
"learning_rate": 4.4444444444444447e-05,
|
115 |
+
"loss": 2.4597,
|
116 |
"step": 140
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 1.09,
|
120 |
+
"grad_norm": 6.4515275955200195,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
121 |
"learning_rate": 4.3650793650793655e-05,
|
122 |
+
"loss": 2.4792,
|
123 |
"step": 150
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 1.1,
|
127 |
+
"grad_norm": 6.551385879516602,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
128 |
"learning_rate": 4.2857142857142856e-05,
|
129 |
+
"loss": 2.4636,
|
130 |
"step": 160
|
131 |
},
|
132 |
{
|
133 |
+
"epoch": 1.12,
|
134 |
+
"grad_norm": 5.237429618835449,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
135 |
"learning_rate": 4.2063492063492065e-05,
|
136 |
+
"loss": 2.3212,
|
137 |
"step": 170
|
138 |
},
|
139 |
{
|
140 |
+
"epoch": 1.13,
|
141 |
+
"eval_accuracy": 0.17725852061318648,
|
142 |
+
"eval_loss": 2.5854506492614746,
|
143 |
+
"eval_runtime": 2671.3135,
|
144 |
+
"eval_samples_per_second": 5.03,
|
145 |
+
"eval_steps_per_second": 0.629,
|
146 |
+
"step": 176
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
147 |
},
|
148 |
{
|
149 |
+
"epoch": 2.01,
|
150 |
+
"grad_norm": 8.875786781311035,
|
151 |
"learning_rate": 4.126984126984127e-05,
|
152 |
+
"loss": 2.3138,
|
153 |
"step": 180
|
154 |
},
|
155 |
{
|
156 |
+
"epoch": 2.02,
|
157 |
+
"grad_norm": 7.928117275238037,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
158 |
"learning_rate": 4.047619047619048e-05,
|
159 |
+
"loss": 2.535,
|
160 |
"step": 190
|
161 |
},
|
162 |
{
|
163 |
+
"epoch": 2.03,
|
164 |
+
"grad_norm": 7.844710350036621,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
165 |
"learning_rate": 3.968253968253968e-05,
|
166 |
+
"loss": 2.4373,
|
167 |
"step": 200
|
168 |
},
|
169 |
{
|
170 |
+
"epoch": 2.05,
|
171 |
+
"grad_norm": 7.789624214172363,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
172 |
"learning_rate": 3.888888888888889e-05,
|
173 |
+
"loss": 2.3984,
|
174 |
"step": 210
|
175 |
},
|
176 |
{
|
177 |
+
"epoch": 2.06,
|
178 |
+
"grad_norm": 7.342363357543945,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
179 |
"learning_rate": 3.809523809523809e-05,
|
180 |
+
"loss": 2.1948,
|
181 |
"step": 220
|
182 |
},
|
183 |
{
|
184 |
+
"epoch": 2.08,
|
185 |
+
"grad_norm": 6.116743564605713,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
186 |
"learning_rate": 3.730158730158731e-05,
|
187 |
+
"loss": 2.3234,
|
188 |
"step": 230
|
189 |
},
|
190 |
{
|
191 |
+
"epoch": 2.09,
|
192 |
+
"grad_norm": 8.138971328735352,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
193 |
"learning_rate": 3.650793650793651e-05,
|
194 |
+
"loss": 2.3012,
|
195 |
"step": 240
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 2.11,
|
199 |
+
"grad_norm": 7.563113689422607,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
200 |
"learning_rate": 3.571428571428572e-05,
|
201 |
+
"loss": 2.4211,
|
202 |
"step": 250
|
203 |
},
|
204 |
{
|
205 |
+
"epoch": 2.12,
|
206 |
+
"grad_norm": 8.180752754211426,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
207 |
"learning_rate": 3.492063492063492e-05,
|
208 |
+
"loss": 2.2333,
|
209 |
"step": 260
|
210 |
},
|
211 |
{
|
212 |
+
"epoch": 2.13,
|
213 |
+
"eval_accuracy": 0.10455424914421789,
|
214 |
+
"eval_loss": 2.627028226852417,
|
215 |
+
"eval_runtime": 2669.9747,
|
216 |
+
"eval_samples_per_second": 5.033,
|
217 |
+
"eval_steps_per_second": 0.629,
|
218 |
+
"step": 264
|
219 |
},
|
220 |
{
|
221 |
+
"epoch": 3.01,
|
222 |
+
"grad_norm": 8.733146667480469,
|
223 |
"learning_rate": 3.412698412698413e-05,
|
224 |
+
"loss": 2.3931,
|
225 |
"step": 270
|
226 |
},
|
227 |
{
|
228 |
+
"epoch": 3.02,
|
229 |
+
"grad_norm": 8.307793617248535,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
230 |
"learning_rate": 3.3333333333333335e-05,
|
231 |
+
"loss": 2.1948,
|
232 |
"step": 280
|
233 |
},
|
234 |
{
|
235 |
+
"epoch": 3.04,
|
236 |
+
"grad_norm": 9.008221626281738,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
237 |
"learning_rate": 3.253968253968254e-05,
|
238 |
+
"loss": 2.3545,
|
239 |
"step": 290
|
240 |
},
|
241 |
{
|
242 |
+
"epoch": 3.05,
|
243 |
+
"grad_norm": 8.743054389953613,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
244 |
"learning_rate": 3.1746031746031745e-05,
|
245 |
+
"loss": 2.1182,
|
246 |
"step": 300
|
247 |
},
|
248 |
{
|
249 |
+
"epoch": 3.07,
|
250 |
+
"grad_norm": 7.782846450805664,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
251 |
"learning_rate": 3.095238095238095e-05,
|
252 |
+
"loss": 2.2446,
|
253 |
"step": 310
|
254 |
},
|
255 |
{
|
256 |
+
"epoch": 3.08,
|
257 |
+
"grad_norm": 9.437503814697266,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
258 |
"learning_rate": 3.0158730158730158e-05,
|
259 |
+
"loss": 2.3095,
|
260 |
"step": 320
|
261 |
},
|
262 |
{
|
263 |
+
"epoch": 3.09,
|
264 |
+
"grad_norm": 8.776910781860352,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
265 |
"learning_rate": 2.9365079365079366e-05,
|
266 |
+
"loss": 2.2165,
|
267 |
"step": 330
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 3.11,
|
271 |
+
"grad_norm": 7.262299060821533,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
272 |
"learning_rate": 2.857142857142857e-05,
|
273 |
+
"loss": 1.9958,
|
274 |
"step": 340
|
275 |
},
|
276 |
{
|
277 |
+
"epoch": 3.12,
|
278 |
+
"grad_norm": 7.0002288818359375,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
279 |
"learning_rate": 2.777777777777778e-05,
|
280 |
+
"loss": 1.985,
|
281 |
"step": 350
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 3.13,
|
285 |
+
"eval_accuracy": 0.2108944783449918,
|
286 |
+
"eval_loss": 2.4058477878570557,
|
287 |
+
"eval_runtime": 2676.3678,
|
288 |
+
"eval_samples_per_second": 5.021,
|
289 |
+
"eval_steps_per_second": 0.628,
|
290 |
+
"step": 352
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
291 |
},
|
292 |
{
|
293 |
+
"epoch": 4.01,
|
294 |
+
"grad_norm": 13.075250625610352,
|
295 |
"learning_rate": 2.6984126984126984e-05,
|
296 |
+
"loss": 1.9445,
|
297 |
"step": 360
|
298 |
},
|
299 |
{
|
300 |
+
"epoch": 4.03,
|
301 |
+
"grad_norm": 11.625497817993164,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
302 |
"learning_rate": 2.6190476190476192e-05,
|
303 |
+
"loss": 1.9884,
|
304 |
"step": 370
|
305 |
},
|
306 |
{
|
307 |
+
"epoch": 4.04,
|
308 |
+
"grad_norm": 9.822185516357422,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
309 |
"learning_rate": 2.5396825396825397e-05,
|
310 |
+
"loss": 2.1677,
|
311 |
"step": 380
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 4.05,
|
315 |
+
"grad_norm": 9.551963806152344,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
316 |
"learning_rate": 2.4603174603174602e-05,
|
317 |
+
"loss": 2.1942,
|
318 |
"step": 390
|
319 |
},
|
320 |
{
|
321 |
+
"epoch": 4.07,
|
322 |
+
"grad_norm": 10.00942325592041,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
323 |
"learning_rate": 2.380952380952381e-05,
|
324 |
+
"loss": 2.1495,
|
325 |
"step": 400
|
326 |
},
|
327 |
{
|
328 |
+
"epoch": 4.08,
|
329 |
+
"grad_norm": 7.805147171020508,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
330 |
"learning_rate": 2.3015873015873015e-05,
|
331 |
+
"loss": 2.1318,
|
332 |
"step": 410
|
333 |
},
|
334 |
{
|
335 |
+
"epoch": 4.1,
|
336 |
+
"grad_norm": 10.390979766845703,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
337 |
"learning_rate": 2.2222222222222223e-05,
|
338 |
+
"loss": 2.0618,
|
339 |
"step": 420
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 4.11,
|
343 |
+
"grad_norm": 8.040055274963379,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
344 |
"learning_rate": 2.1428571428571428e-05,
|
345 |
+
"loss": 2.1917,
|
346 |
"step": 430
|
347 |
},
|
348 |
{
|
349 |
+
"epoch": 4.13,
|
350 |
+
"grad_norm": 19.272586822509766,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
351 |
"learning_rate": 2.0634920634920636e-05,
|
352 |
+
"loss": 2.194,
|
353 |
"step": 440
|
354 |
},
|
355 |
{
|
356 |
+
"epoch": 4.13,
|
357 |
+
"eval_accuracy": 0.22354517041226374,
|
358 |
+
"eval_loss": 2.3653502464294434,
|
359 |
+
"eval_runtime": 2678.1886,
|
360 |
+
"eval_samples_per_second": 5.018,
|
361 |
+
"eval_steps_per_second": 0.627,
|
362 |
+
"step": 440
|
363 |
},
|
364 |
{
|
365 |
+
"epoch": 5.01,
|
366 |
+
"grad_norm": 8.98901081085205,
|
367 |
"learning_rate": 1.984126984126984e-05,
|
368 |
+
"loss": 1.9553,
|
369 |
"step": 450
|
370 |
},
|
371 |
{
|
372 |
+
"epoch": 5.03,
|
373 |
+
"grad_norm": 9.513757705688477,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
374 |
"learning_rate": 1.9047619047619046e-05,
|
375 |
+
"loss": 1.9827,
|
376 |
"step": 460
|
377 |
},
|
378 |
{
|
379 |
+
"epoch": 5.04,
|
380 |
+
"grad_norm": 8.948848724365234,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
381 |
"learning_rate": 1.8253968253968254e-05,
|
382 |
+
"loss": 1.8577,
|
383 |
"step": 470
|
384 |
},
|
385 |
{
|
386 |
+
"epoch": 5.06,
|
387 |
+
"grad_norm": 10.43582534790039,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
388 |
"learning_rate": 1.746031746031746e-05,
|
389 |
+
"loss": 1.8543,
|
390 |
"step": 480
|
391 |
},
|
392 |
{
|
393 |
+
"epoch": 5.07,
|
394 |
+
"grad_norm": 10.061915397644043,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
395 |
"learning_rate": 1.6666666666666667e-05,
|
396 |
+
"loss": 2.0255,
|
397 |
"step": 490
|
398 |
},
|
399 |
{
|
400 |
+
"epoch": 5.09,
|
401 |
+
"grad_norm": 9.82913875579834,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
402 |
"learning_rate": 1.5873015873015872e-05,
|
403 |
+
"loss": 2.0622,
|
404 |
"step": 500
|
405 |
},
|
406 |
{
|
407 |
+
"epoch": 5.1,
|
408 |
+
"grad_norm": 7.94363260269165,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
409 |
"learning_rate": 1.5079365079365079e-05,
|
410 |
+
"loss": 1.9135,
|
411 |
"step": 510
|
412 |
},
|
413 |
{
|
414 |
+
"epoch": 5.11,
|
415 |
+
"grad_norm": 8.4102144241333,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
416 |
"learning_rate": 1.4285714285714285e-05,
|
417 |
+
"loss": 1.9796,
|
418 |
"step": 520
|
419 |
},
|
420 |
{
|
421 |
+
"epoch": 5.13,
|
422 |
+
"eval_accuracy": 0.22354517041226374,
|
423 |
+
"eval_loss": 2.2609341144561768,
|
424 |
+
"eval_runtime": 2669.641,
|
425 |
+
"eval_samples_per_second": 5.034,
|
426 |
+
"eval_steps_per_second": 0.629,
|
427 |
+
"step": 528
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
428 |
},
|
429 |
{
|
430 |
+
"epoch": 6.0,
|
431 |
+
"grad_norm": 9.409048080444336,
|
432 |
"learning_rate": 1.3492063492063492e-05,
|
433 |
+
"loss": 1.7939,
|
434 |
"step": 530
|
435 |
},
|
436 |
{
|
437 |
+
"epoch": 6.02,
|
438 |
+
"grad_norm": 19.078195571899414,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
439 |
"learning_rate": 1.2698412698412699e-05,
|
440 |
+
"loss": 1.7682,
|
441 |
"step": 540
|
442 |
},
|
443 |
{
|
444 |
+
"epoch": 6.03,
|
445 |
+
"grad_norm": 8.306180000305176,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
446 |
"learning_rate": 1.1904761904761905e-05,
|
447 |
+
"loss": 1.8795,
|
448 |
"step": 550
|
449 |
},
|
450 |
{
|
451 |
+
"epoch": 6.05,
|
452 |
+
"grad_norm": 6.871161460876465,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
453 |
"learning_rate": 1.1111111111111112e-05,
|
454 |
+
"loss": 1.8303,
|
455 |
"step": 560
|
456 |
},
|
457 |
{
|
458 |
+
"epoch": 6.06,
|
459 |
+
"grad_norm": 11.705153465270996,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
460 |
"learning_rate": 1.0317460317460318e-05,
|
461 |
+
"loss": 1.7997,
|
462 |
"step": 570
|
463 |
},
|
464 |
{
|
465 |
+
"epoch": 6.07,
|
466 |
+
"grad_norm": 13.744942665100098,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
467 |
"learning_rate": 9.523809523809523e-06,
|
468 |
+
"loss": 1.7532,
|
469 |
"step": 580
|
470 |
},
|
471 |
{
|
472 |
+
"epoch": 6.09,
|
473 |
+
"grad_norm": 11.410266876220703,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
474 |
"learning_rate": 8.73015873015873e-06,
|
475 |
+
"loss": 1.7416,
|
476 |
"step": 590
|
477 |
},
|
478 |
{
|
479 |
+
"epoch": 6.1,
|
480 |
+
"grad_norm": 15.524273872375488,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
481 |
"learning_rate": 7.936507936507936e-06,
|
482 |
+
"loss": 1.9096,
|
483 |
"step": 600
|
484 |
},
|
485 |
{
|
486 |
+
"epoch": 6.12,
|
487 |
+
"grad_norm": 9.335684776306152,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
488 |
"learning_rate": 7.142857142857143e-06,
|
489 |
+
"loss": 1.8786,
|
490 |
"step": 610
|
491 |
},
|
492 |
{
|
493 |
+
"epoch": 6.13,
|
494 |
+
"eval_accuracy": 0.23411221908022026,
|
495 |
+
"eval_loss": 2.2724666595458984,
|
496 |
+
"eval_runtime": 2674.1892,
|
497 |
+
"eval_samples_per_second": 5.025,
|
498 |
+
"eval_steps_per_second": 0.628,
|
499 |
+
"step": 616
|
500 |
},
|
501 |
{
|
502 |
+
"epoch": 7.01,
|
503 |
+
"grad_norm": 12.772497177124023,
|
504 |
"learning_rate": 6.349206349206349e-06,
|
505 |
+
"loss": 1.6914,
|
506 |
"step": 620
|
507 |
},
|
508 |
{
|
509 |
+
"epoch": 7.02,
|
510 |
+
"grad_norm": 11.079833984375,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
511 |
"learning_rate": 5.555555555555556e-06,
|
512 |
+
"loss": 1.6596,
|
513 |
"step": 630
|
514 |
},
|
515 |
{
|
516 |
+
"epoch": 7.03,
|
517 |
+
"grad_norm": 11.924140930175781,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
518 |
"learning_rate": 4.7619047619047615e-06,
|
519 |
+
"loss": 1.7996,
|
520 |
"step": 640
|
521 |
},
|
522 |
{
|
523 |
+
"epoch": 7.05,
|
524 |
+
"grad_norm": 12.28601360321045,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
525 |
"learning_rate": 3.968253968253968e-06,
|
526 |
+
"loss": 1.5564,
|
527 |
"step": 650
|
528 |
},
|
529 |
{
|
530 |
+
"epoch": 7.06,
|
531 |
+
"grad_norm": 12.644978523254395,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
532 |
"learning_rate": 3.1746031746031746e-06,
|
533 |
+
"loss": 1.8793,
|
534 |
"step": 660
|
535 |
},
|
536 |
{
|
537 |
+
"epoch": 7.08,
|
538 |
+
"grad_norm": 11.849274635314941,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
539 |
"learning_rate": 2.3809523809523808e-06,
|
540 |
+
"loss": 1.6106,
|
541 |
"step": 670
|
542 |
},
|
543 |
{
|
544 |
+
"epoch": 7.09,
|
545 |
+
"grad_norm": 12.6458101272583,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
546 |
"learning_rate": 1.5873015873015873e-06,
|
547 |
+
"loss": 1.9571,
|
548 |
"step": 680
|
549 |
},
|
550 |
{
|
551 |
+
"epoch": 7.11,
|
552 |
+
"grad_norm": 12.309945106506348,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
553 |
"learning_rate": 7.936507936507937e-07,
|
554 |
+
"loss": 1.6146,
|
555 |
"step": 690
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 7.12,
|
559 |
+
"grad_norm": 11.306781768798828,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
560 |
"learning_rate": 0.0,
|
561 |
+
"loss": 1.71,
|
562 |
"step": 700
|
563 |
},
|
564 |
{
|
565 |
+
"epoch": 7.12,
|
566 |
+
"eval_accuracy": 0.22257776454829586,
|
567 |
+
"eval_loss": 2.2227871417999268,
|
568 |
+
"eval_runtime": 2677.8894,
|
569 |
+
"eval_samples_per_second": 5.018,
|
570 |
+
"eval_steps_per_second": 0.627,
|
571 |
"step": 700
|
572 |
},
|
573 |
{
|
574 |
+
"epoch": 7.12,
|
575 |
"step": 700,
|
576 |
+
"total_flos": 6.943814924023628e+18,
|
577 |
+
"train_loss": 2.1489518587929863,
|
578 |
+
"train_runtime": 24272.1999,
|
579 |
+
"train_samples_per_second": 0.231,
|
580 |
+
"train_steps_per_second": 0.029
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 7.12,
|
584 |
+
"eval_accuracy": 0.225,
|
585 |
+
"eval_loss": 2.50138521194458,
|
586 |
+
"eval_runtime": 955.2551,
|
587 |
+
"eval_samples_per_second": 5.192,
|
588 |
+
"eval_steps_per_second": 0.649,
|
589 |
"step": 700
|
590 |
},
|
591 |
{
|
592 |
+
"epoch": 7.12,
|
593 |
+
"eval_accuracy": 0.225,
|
594 |
+
"eval_loss": 2.501384973526001,
|
595 |
+
"eval_runtime": 945.2716,
|
596 |
+
"eval_samples_per_second": 5.247,
|
597 |
+
"eval_steps_per_second": 0.656,
|
598 |
"step": 700
|
599 |
}
|
600 |
],
|
601 |
+
"logging_steps": 10,
|
602 |
"max_steps": 700,
|
603 |
"num_input_tokens_seen": 0,
|
604 |
"num_train_epochs": 9223372036854775807,
|
605 |
"save_steps": 500,
|
606 |
+
"total_flos": 6.943814924023628e+18,
|
607 |
+
"train_batch_size": 8,
|
608 |
"trial_name": null,
|
609 |
"trial_params": null
|
610 |
}
|