End of training
Browse files- all_results.json +6 -6
- test_results.json +6 -6
- trainer_state.json +76 -373
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss":
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 3.
|
7 |
-
"eval_steps_per_second": 1.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_accuracy": 0.5290322580645161,
|
4 |
+
"eval_loss": 1.4294496774673462,
|
5 |
+
"eval_runtime": 45.3757,
|
6 |
+
"eval_samples_per_second": 3.416,
|
7 |
+
"eval_steps_per_second": 1.719
|
8 |
}
|
test_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss":
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 3.
|
7 |
-
"eval_steps_per_second": 1.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_accuracy": 0.5290322580645161,
|
4 |
+
"eval_loss": 1.4294496774673462,
|
5 |
+
"eval_runtime": 45.3757,
|
6 |
+
"eval_samples_per_second": 3.416,
|
7 |
+
"eval_steps_per_second": 1.719
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,442 +1,145 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
-
{
|
12 |
-
"epoch": 0.02,
|
13 |
-
"learning_rate": 8.333333333333334e-06,
|
14 |
-
"loss": 2.3171,
|
15 |
-
"step": 10
|
16 |
-
},
|
17 |
-
{
|
18 |
-
"epoch": 0.03,
|
19 |
-
"learning_rate": 1.6666666666666667e-05,
|
20 |
-
"loss": 2.252,
|
21 |
-
"step": 20
|
22 |
-
},
|
23 |
-
{
|
24 |
-
"epoch": 0.05,
|
25 |
-
"learning_rate": 2.5e-05,
|
26 |
-
"loss": 2.1918,
|
27 |
-
"step": 30
|
28 |
-
},
|
29 |
{
|
30 |
"epoch": 0.07,
|
31 |
"learning_rate": 3.3333333333333335e-05,
|
32 |
-
"loss": 2.
|
33 |
-
"step":
|
34 |
-
},
|
35 |
-
{
|
36 |
-
"epoch": 0.08,
|
37 |
-
"learning_rate": 4.166666666666667e-05,
|
38 |
-
"loss": 2.1914,
|
39 |
-
"step": 50
|
40 |
-
},
|
41 |
-
{
|
42 |
-
"epoch": 0.1,
|
43 |
-
"learning_rate": 5e-05,
|
44 |
-
"loss": 2.2023,
|
45 |
-
"step": 60
|
46 |
-
},
|
47 |
-
{
|
48 |
-
"epoch": 0.12,
|
49 |
-
"learning_rate": 4.9074074074074075e-05,
|
50 |
-
"loss": 2.206,
|
51 |
-
"step": 70
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.13,
|
55 |
"learning_rate": 4.814814814814815e-05,
|
56 |
-
"loss":
|
57 |
-
"step":
|
58 |
-
},
|
59 |
-
{
|
60 |
-
"epoch": 0.15,
|
61 |
-
"learning_rate": 4.722222222222222e-05,
|
62 |
-
"loss": 2.0264,
|
63 |
-
"step": 90
|
64 |
-
},
|
65 |
-
{
|
66 |
-
"epoch": 0.17,
|
67 |
-
"learning_rate": 4.62962962962963e-05,
|
68 |
-
"loss": 1.8314,
|
69 |
-
"step": 100
|
70 |
-
},
|
71 |
-
{
|
72 |
-
"epoch": 0.18,
|
73 |
-
"learning_rate": 4.5370370370370374e-05,
|
74 |
-
"loss": 1.7088,
|
75 |
-
"step": 110
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.2,
|
79 |
"learning_rate": 4.4444444444444447e-05,
|
80 |
-
"loss":
|
81 |
-
"step":
|
82 |
-
},
|
83 |
-
{
|
84 |
-
"epoch": 0.22,
|
85 |
-
"learning_rate": 4.351851851851852e-05,
|
86 |
-
"loss": 1.6237,
|
87 |
-
"step": 130
|
88 |
-
},
|
89 |
-
{
|
90 |
-
"epoch": 0.23,
|
91 |
-
"learning_rate": 4.259259259259259e-05,
|
92 |
-
"loss": 1.3924,
|
93 |
-
"step": 140
|
94 |
-
},
|
95 |
-
{
|
96 |
-
"epoch": 0.25,
|
97 |
-
"learning_rate": 4.166666666666667e-05,
|
98 |
-
"loss": 1.2544,
|
99 |
-
"step": 150
|
100 |
-
},
|
101 |
-
{
|
102 |
-
"epoch": 0.25,
|
103 |
-
"eval_accuracy": 0.44285714285714284,
|
104 |
-
"eval_loss": 1.370309829711914,
|
105 |
-
"eval_runtime": 19.2054,
|
106 |
-
"eval_samples_per_second": 3.645,
|
107 |
-
"eval_steps_per_second": 1.822,
|
108 |
-
"step": 150
|
109 |
},
|
110 |
{
|
111 |
-
"epoch":
|
112 |
"learning_rate": 4.074074074074074e-05,
|
113 |
-
"loss":
|
114 |
-
"step":
|
115 |
-
},
|
116 |
-
{
|
117 |
-
"epoch": 1.03,
|
118 |
-
"learning_rate": 3.981481481481482e-05,
|
119 |
-
"loss": 1.1287,
|
120 |
-
"step": 170
|
121 |
-
},
|
122 |
-
{
|
123 |
-
"epoch": 1.05,
|
124 |
-
"learning_rate": 3.888888888888889e-05,
|
125 |
-
"loss": 0.9832,
|
126 |
-
"step": 180
|
127 |
-
},
|
128 |
-
{
|
129 |
-
"epoch": 1.07,
|
130 |
-
"learning_rate": 3.7962962962962964e-05,
|
131 |
-
"loss": 0.9388,
|
132 |
-
"step": 190
|
133 |
},
|
134 |
{
|
135 |
-
"epoch":
|
136 |
"learning_rate": 3.7037037037037037e-05,
|
137 |
-
"loss": 1.
|
138 |
-
"step":
|
139 |
-
},
|
140 |
-
{
|
141 |
-
"epoch": 1.1,
|
142 |
-
"learning_rate": 3.611111111111111e-05,
|
143 |
-
"loss": 0.826,
|
144 |
-
"step": 210
|
145 |
-
},
|
146 |
-
{
|
147 |
-
"epoch": 1.12,
|
148 |
-
"learning_rate": 3.518518518518519e-05,
|
149 |
-
"loss": 0.9838,
|
150 |
-
"step": 220
|
151 |
-
},
|
152 |
-
{
|
153 |
-
"epoch": 1.13,
|
154 |
-
"learning_rate": 3.425925925925926e-05,
|
155 |
-
"loss": 0.8888,
|
156 |
-
"step": 230
|
157 |
},
|
158 |
{
|
159 |
-
"epoch":
|
160 |
"learning_rate": 3.3333333333333335e-05,
|
161 |
-
"loss":
|
162 |
-
"step":
|
163 |
-
},
|
164 |
-
{
|
165 |
-
"epoch": 1.17,
|
166 |
-
"learning_rate": 3.240740740740741e-05,
|
167 |
-
"loss": 0.5864,
|
168 |
-
"step": 250
|
169 |
-
},
|
170 |
-
{
|
171 |
-
"epoch": 1.18,
|
172 |
-
"learning_rate": 3.148148148148148e-05,
|
173 |
-
"loss": 0.5376,
|
174 |
-
"step": 260
|
175 |
-
},
|
176 |
-
{
|
177 |
-
"epoch": 1.2,
|
178 |
-
"learning_rate": 3.055555555555556e-05,
|
179 |
-
"loss": 0.8571,
|
180 |
-
"step": 270
|
181 |
},
|
182 |
{
|
183 |
-
"epoch":
|
184 |
"learning_rate": 2.962962962962963e-05,
|
185 |
-
"loss":
|
186 |
-
"step":
|
187 |
-
},
|
188 |
-
{
|
189 |
-
"epoch": 1.23,
|
190 |
-
"learning_rate": 2.8703703703703706e-05,
|
191 |
-
"loss": 1.1622,
|
192 |
-
"step": 290
|
193 |
-
},
|
194 |
-
{
|
195 |
-
"epoch": 1.25,
|
196 |
-
"learning_rate": 2.777777777777778e-05,
|
197 |
-
"loss": 1.0825,
|
198 |
-
"step": 300
|
199 |
-
},
|
200 |
-
{
|
201 |
-
"epoch": 1.25,
|
202 |
-
"eval_accuracy": 0.7428571428571429,
|
203 |
-
"eval_loss": 0.6761045455932617,
|
204 |
-
"eval_runtime": 19.331,
|
205 |
-
"eval_samples_per_second": 3.621,
|
206 |
-
"eval_steps_per_second": 1.811,
|
207 |
-
"step": 300
|
208 |
-
},
|
209 |
-
{
|
210 |
-
"epoch": 2.02,
|
211 |
-
"learning_rate": 2.6851851851851855e-05,
|
212 |
-
"loss": 0.478,
|
213 |
-
"step": 310
|
214 |
},
|
215 |
{
|
216 |
-
"epoch":
|
217 |
"learning_rate": 2.5925925925925925e-05,
|
218 |
-
"loss":
|
219 |
-
"step":
|
220 |
-
},
|
221 |
-
{
|
222 |
-
"epoch": 2.05,
|
223 |
-
"learning_rate": 2.5e-05,
|
224 |
-
"loss": 0.333,
|
225 |
-
"step": 330
|
226 |
-
},
|
227 |
-
{
|
228 |
-
"epoch": 2.07,
|
229 |
-
"learning_rate": 2.4074074074074074e-05,
|
230 |
-
"loss": 0.2037,
|
231 |
-
"step": 340
|
232 |
-
},
|
233 |
-
{
|
234 |
-
"epoch": 2.08,
|
235 |
-
"learning_rate": 2.314814814814815e-05,
|
236 |
-
"loss": 0.34,
|
237 |
-
"step": 350
|
238 |
},
|
239 |
{
|
240 |
-
"epoch":
|
241 |
"learning_rate": 2.2222222222222223e-05,
|
242 |
-
"loss":
|
243 |
-
"step":
|
244 |
-
},
|
245 |
-
{
|
246 |
-
"epoch": 2.12,
|
247 |
-
"learning_rate": 2.1296296296296296e-05,
|
248 |
-
"loss": 0.3737,
|
249 |
-
"step": 370
|
250 |
-
},
|
251 |
-
{
|
252 |
-
"epoch": 2.13,
|
253 |
-
"learning_rate": 2.037037037037037e-05,
|
254 |
-
"loss": 0.1322,
|
255 |
-
"step": 380
|
256 |
-
},
|
257 |
-
{
|
258 |
-
"epoch": 2.15,
|
259 |
-
"learning_rate": 1.9444444444444445e-05,
|
260 |
-
"loss": 0.2662,
|
261 |
-
"step": 390
|
262 |
},
|
263 |
{
|
264 |
-
"epoch":
|
265 |
"learning_rate": 1.8518518518518518e-05,
|
266 |
-
"loss":
|
267 |
-
"step":
|
268 |
-
},
|
269 |
-
{
|
270 |
-
"epoch": 2.18,
|
271 |
-
"learning_rate": 1.7592592592592595e-05,
|
272 |
-
"loss": 0.1596,
|
273 |
-
"step": 410
|
274 |
-
},
|
275 |
-
{
|
276 |
-
"epoch": 2.2,
|
277 |
-
"learning_rate": 1.6666666666666667e-05,
|
278 |
-
"loss": 0.0874,
|
279 |
-
"step": 420
|
280 |
-
},
|
281 |
-
{
|
282 |
-
"epoch": 2.22,
|
283 |
-
"learning_rate": 1.574074074074074e-05,
|
284 |
-
"loss": 0.2727,
|
285 |
-
"step": 430
|
286 |
},
|
287 |
{
|
288 |
-
"epoch":
|
289 |
"learning_rate": 1.4814814814814815e-05,
|
290 |
-
"loss":
|
291 |
-
"step":
|
292 |
-
},
|
293 |
-
{
|
294 |
-
"epoch": 2.25,
|
295 |
-
"learning_rate": 1.388888888888889e-05,
|
296 |
-
"loss": 0.2885,
|
297 |
-
"step": 450
|
298 |
-
},
|
299 |
-
{
|
300 |
-
"epoch": 2.25,
|
301 |
-
"eval_accuracy": 0.8285714285714286,
|
302 |
-
"eval_loss": 0.6104217767715454,
|
303 |
-
"eval_runtime": 20.1055,
|
304 |
-
"eval_samples_per_second": 3.482,
|
305 |
-
"eval_steps_per_second": 1.741,
|
306 |
-
"step": 450
|
307 |
-
},
|
308 |
-
{
|
309 |
-
"epoch": 3.02,
|
310 |
-
"learning_rate": 1.2962962962962962e-05,
|
311 |
-
"loss": 0.2173,
|
312 |
-
"step": 460
|
313 |
-
},
|
314 |
-
{
|
315 |
-
"epoch": 3.03,
|
316 |
-
"learning_rate": 1.2037037037037037e-05,
|
317 |
-
"loss": 0.1313,
|
318 |
-
"step": 470
|
319 |
},
|
320 |
{
|
321 |
-
"epoch":
|
322 |
"learning_rate": 1.1111111111111112e-05,
|
323 |
-
"loss":
|
324 |
-
"step":
|
325 |
-
},
|
326 |
-
{
|
327 |
-
"epoch": 3.07,
|
328 |
-
"learning_rate": 1.0185185185185185e-05,
|
329 |
-
"loss": 0.035,
|
330 |
-
"step": 490
|
331 |
-
},
|
332 |
-
{
|
333 |
-
"epoch": 3.08,
|
334 |
-
"learning_rate": 9.259259259259259e-06,
|
335 |
-
"loss": 0.025,
|
336 |
-
"step": 500
|
337 |
-
},
|
338 |
-
{
|
339 |
-
"epoch": 3.1,
|
340 |
-
"learning_rate": 8.333333333333334e-06,
|
341 |
-
"loss": 0.1221,
|
342 |
-
"step": 510
|
343 |
},
|
344 |
{
|
345 |
-
"epoch":
|
346 |
"learning_rate": 7.4074074074074075e-06,
|
347 |
-
"loss":
|
348 |
-
"step":
|
349 |
-
},
|
350 |
-
{
|
351 |
-
"epoch": 3.13,
|
352 |
-
"learning_rate": 6.481481481481481e-06,
|
353 |
-
"loss": 0.036,
|
354 |
-
"step": 530
|
355 |
-
},
|
356 |
-
{
|
357 |
-
"epoch": 3.15,
|
358 |
-
"learning_rate": 5.555555555555556e-06,
|
359 |
-
"loss": 0.0544,
|
360 |
-
"step": 540
|
361 |
-
},
|
362 |
-
{
|
363 |
-
"epoch": 3.17,
|
364 |
-
"learning_rate": 4.6296296296296296e-06,
|
365 |
-
"loss": 0.2549,
|
366 |
-
"step": 550
|
367 |
},
|
368 |
{
|
369 |
-
"epoch":
|
370 |
"learning_rate": 3.7037037037037037e-06,
|
371 |
-
"loss":
|
372 |
-
"step":
|
373 |
-
},
|
374 |
-
{
|
375 |
-
"epoch": 3.2,
|
376 |
-
"learning_rate": 2.777777777777778e-06,
|
377 |
-
"loss": 0.1269,
|
378 |
-
"step": 570
|
379 |
-
},
|
380 |
-
{
|
381 |
-
"epoch": 3.22,
|
382 |
-
"learning_rate": 1.8518518518518519e-06,
|
383 |
-
"loss": 0.1344,
|
384 |
-
"step": 580
|
385 |
-
},
|
386 |
-
{
|
387 |
-
"epoch": 3.23,
|
388 |
-
"learning_rate": 9.259259259259259e-07,
|
389 |
-
"loss": 0.4507,
|
390 |
-
"step": 590
|
391 |
},
|
392 |
{
|
393 |
-
"epoch":
|
394 |
"learning_rate": 0.0,
|
395 |
-
"loss":
|
396 |
-
"step":
|
397 |
},
|
398 |
{
|
399 |
-
"epoch":
|
400 |
-
"eval_accuracy": 0.
|
401 |
-
"eval_loss":
|
402 |
-
"eval_runtime": 20.
|
403 |
-
"eval_samples_per_second": 3.
|
404 |
-
"eval_steps_per_second": 1.
|
405 |
-
"step":
|
406 |
},
|
407 |
{
|
408 |
-
"epoch":
|
409 |
-
"step":
|
410 |
-
"total_flos":
|
411 |
-
"train_loss":
|
412 |
-
"train_runtime":
|
413 |
-
"train_samples_per_second": 1.
|
414 |
-
"train_steps_per_second": 0.
|
415 |
},
|
416 |
{
|
417 |
-
"epoch":
|
418 |
-
"eval_accuracy": 0.
|
419 |
-
"eval_loss":
|
420 |
-
"eval_runtime": 43.
|
421 |
-
"eval_samples_per_second": 3.
|
422 |
-
"eval_steps_per_second": 1.
|
423 |
-
"step":
|
424 |
},
|
425 |
{
|
426 |
-
"epoch":
|
427 |
-
"eval_accuracy": 0.
|
428 |
-
"eval_loss":
|
429 |
-
"eval_runtime":
|
430 |
-
"eval_samples_per_second": 3.
|
431 |
-
"eval_steps_per_second": 1.
|
432 |
-
"step":
|
433 |
}
|
434 |
],
|
435 |
"logging_steps": 10,
|
436 |
-
"max_steps":
|
437 |
"num_train_epochs": 9223372036854775807,
|
438 |
"save_steps": 500,
|
439 |
-
"total_flos":
|
440 |
"trial_name": null,
|
441 |
"trial_params": null
|
442 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.6285714285714286,
|
3 |
+
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-150",
|
4 |
+
"epoch": 1.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 150,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
{
|
12 |
"epoch": 0.07,
|
13 |
"learning_rate": 3.3333333333333335e-05,
|
14 |
+
"loss": 2.3672,
|
15 |
+
"step": 10
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.13,
|
19 |
"learning_rate": 4.814814814814815e-05,
|
20 |
+
"loss": 2.5654,
|
21 |
+
"step": 20
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.2,
|
25 |
"learning_rate": 4.4444444444444447e-05,
|
26 |
+
"loss": 2.3019,
|
27 |
+
"step": 30
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.27,
|
31 |
"learning_rate": 4.074074074074074e-05,
|
32 |
+
"loss": 2.1634,
|
33 |
+
"step": 40
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
34 |
},
|
35 |
{
|
36 |
+
"epoch": 0.33,
|
37 |
"learning_rate": 3.7037037037037037e-05,
|
38 |
+
"loss": 1.9889,
|
39 |
+
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.4,
|
43 |
"learning_rate": 3.3333333333333335e-05,
|
44 |
+
"loss": 2.0758,
|
45 |
+
"step": 60
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.47,
|
49 |
"learning_rate": 2.962962962962963e-05,
|
50 |
+
"loss": 2.0439,
|
51 |
+
"step": 70
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.53,
|
55 |
"learning_rate": 2.5925925925925925e-05,
|
56 |
+
"loss": 1.6312,
|
57 |
+
"step": 80
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
58 |
},
|
59 |
{
|
60 |
+
"epoch": 0.6,
|
61 |
"learning_rate": 2.2222222222222223e-05,
|
62 |
+
"loss": 1.905,
|
63 |
+
"step": 90
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
64 |
},
|
65 |
{
|
66 |
+
"epoch": 0.67,
|
67 |
"learning_rate": 1.8518518518518518e-05,
|
68 |
+
"loss": 1.6742,
|
69 |
+
"step": 100
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.73,
|
73 |
"learning_rate": 1.4814814814814815e-05,
|
74 |
+
"loss": 1.6093,
|
75 |
+
"step": 110
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
76 |
},
|
77 |
{
|
78 |
+
"epoch": 0.8,
|
79 |
"learning_rate": 1.1111111111111112e-05,
|
80 |
+
"loss": 1.5733,
|
81 |
+
"step": 120
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
82 |
},
|
83 |
{
|
84 |
+
"epoch": 0.87,
|
85 |
"learning_rate": 7.4074074074074075e-06,
|
86 |
+
"loss": 1.6627,
|
87 |
+
"step": 130
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 0.93,
|
91 |
"learning_rate": 3.7037037037037037e-06,
|
92 |
+
"loss": 1.6796,
|
93 |
+
"step": 140
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 1.0,
|
97 |
"learning_rate": 0.0,
|
98 |
+
"loss": 1.3265,
|
99 |
+
"step": 150
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 1.0,
|
103 |
+
"eval_accuracy": 0.6285714285714286,
|
104 |
+
"eval_loss": 1.2609246969223022,
|
105 |
+
"eval_runtime": 20.5848,
|
106 |
+
"eval_samples_per_second": 3.401,
|
107 |
+
"eval_steps_per_second": 1.7,
|
108 |
+
"step": 150
|
109 |
},
|
110 |
{
|
111 |
+
"epoch": 1.0,
|
112 |
+
"step": 150,
|
113 |
+
"total_flos": 3.73846047031296e+17,
|
114 |
+
"train_loss": 1.9045542653401693,
|
115 |
+
"train_runtime": 220.7068,
|
116 |
+
"train_samples_per_second": 1.359,
|
117 |
+
"train_steps_per_second": 0.68
|
118 |
},
|
119 |
{
|
120 |
+
"epoch": 1.0,
|
121 |
+
"eval_accuracy": 0.5290322580645161,
|
122 |
+
"eval_loss": 1.429449439048767,
|
123 |
+
"eval_runtime": 43.1887,
|
124 |
+
"eval_samples_per_second": 3.589,
|
125 |
+
"eval_steps_per_second": 1.806,
|
126 |
+
"step": 150
|
127 |
},
|
128 |
{
|
129 |
+
"epoch": 1.0,
|
130 |
+
"eval_accuracy": 0.5290322580645161,
|
131 |
+
"eval_loss": 1.4294496774673462,
|
132 |
+
"eval_runtime": 45.3757,
|
133 |
+
"eval_samples_per_second": 3.416,
|
134 |
+
"eval_steps_per_second": 1.719,
|
135 |
+
"step": 150
|
136 |
}
|
137 |
],
|
138 |
"logging_steps": 10,
|
139 |
+
"max_steps": 150,
|
140 |
"num_train_epochs": 9223372036854775807,
|
141 |
"save_steps": 500,
|
142 |
+
"total_flos": 3.73846047031296e+17,
|
143 |
"trial_name": null,
|
144 |
"trial_params": null
|
145 |
}
|