End of training
Browse files- README.md +2 -2
- all_results.json +11 -11
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +440 -314
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/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the None dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 1.
|
21 |
-
- Accuracy: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the None dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 1.3599
|
21 |
+
- Accuracy: 0.4190
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 1.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 1.
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 1.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 30.0,
|
3 |
+
"eval_accuracy": 0.41899441340782123,
|
4 |
+
"eval_loss": 1.359870195388794,
|
5 |
+
"eval_runtime": 7.4764,
|
6 |
+
"eval_samples_per_second": 47.884,
|
7 |
+
"eval_steps_per_second": 1.605,
|
8 |
+
"total_flos": 4.840276186658304e+18,
|
9 |
+
"train_loss": 1.0325976332028708,
|
10 |
+
"train_runtime": 3493.542,
|
11 |
+
"train_samples_per_second": 17.492,
|
12 |
+
"train_steps_per_second": 0.137
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 1.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 1.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 30.0,
|
3 |
+
"eval_accuracy": 0.41899441340782123,
|
4 |
+
"eval_loss": 1.359870195388794,
|
5 |
+
"eval_runtime": 7.4764,
|
6 |
+
"eval_samples_per_second": 47.884,
|
7 |
+
"eval_steps_per_second": 1.605
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 1.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 30.0,
|
3 |
+
"total_flos": 4.840276186658304e+18,
|
4 |
+
"train_loss": 1.0325976332028708,
|
5 |
+
"train_runtime": 3493.542,
|
6 |
+
"train_samples_per_second": 17.492,
|
7 |
+
"train_steps_per_second": 0.137
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,460 +1,586 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "convnextv2-base-1k-224-for-pre_evaluation/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.
|
13 |
-
"learning_rate": 1.
|
14 |
-
"loss": 1.
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
-
"epoch": 0
|
19 |
-
"eval_accuracy": 0.
|
20 |
-
"eval_loss": 1.
|
21 |
-
"eval_runtime":
|
22 |
-
"eval_samples_per_second":
|
23 |
-
"eval_steps_per_second": 1.
|
24 |
-
"step":
|
25 |
},
|
26 |
{
|
27 |
-
"epoch": 1.
|
28 |
-
"learning_rate":
|
29 |
-
"loss": 1.
|
30 |
"step": 20
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 1.
|
34 |
-
"
|
35 |
-
"
|
36 |
-
"eval_runtime": 8.9811,
|
37 |
-
"eval_samples_per_second": 47.767,
|
38 |
-
"eval_steps_per_second": 1.559,
|
39 |
-
"step": 21
|
40 |
-
},
|
41 |
-
{
|
42 |
-
"epoch": 2.79,
|
43 |
-
"learning_rate": 5e-05,
|
44 |
-
"loss": 1.4881,
|
45 |
"step": 30
|
46 |
},
|
47 |
{
|
48 |
-
"epoch": 2.
|
49 |
-
"eval_accuracy": 0.
|
50 |
-
"eval_loss": 1.
|
51 |
-
"eval_runtime":
|
52 |
-
"eval_samples_per_second":
|
53 |
-
"eval_steps_per_second": 1.
|
54 |
"step": 32
|
55 |
},
|
56 |
{
|
57 |
-
"epoch":
|
58 |
-
"learning_rate": 4.
|
59 |
-
"loss": 1.
|
60 |
"step": 40
|
61 |
},
|
62 |
{
|
63 |
-
"epoch":
|
64 |
-
"eval_accuracy": 0.
|
65 |
-
"eval_loss": 1.
|
66 |
-
"eval_runtime":
|
67 |
-
"eval_samples_per_second":
|
68 |
-
"eval_steps_per_second": 1.
|
69 |
-
"step":
|
70 |
},
|
71 |
{
|
72 |
-
"epoch":
|
73 |
-
"learning_rate": 4.
|
74 |
-
"loss": 1.
|
75 |
"step": 50
|
76 |
},
|
77 |
{
|
78 |
-
"epoch":
|
79 |
-
"
|
80 |
-
"
|
81 |
-
"eval_runtime": 8.7032,
|
82 |
-
"eval_samples_per_second": 49.292,
|
83 |
-
"eval_steps_per_second": 1.609,
|
84 |
-
"step": 53
|
85 |
-
},
|
86 |
-
{
|
87 |
-
"epoch": 5.58,
|
88 |
-
"learning_rate": 4.4444444444444447e-05,
|
89 |
-
"loss": 1.3764,
|
90 |
"step": 60
|
91 |
},
|
92 |
{
|
93 |
-
"epoch":
|
94 |
-
"eval_accuracy": 0.
|
95 |
-
"eval_loss": 1.
|
96 |
-
"eval_runtime":
|
97 |
-
"eval_samples_per_second":
|
98 |
-
"eval_steps_per_second": 1.
|
99 |
"step": 64
|
100 |
},
|
101 |
{
|
102 |
-
"epoch":
|
103 |
-
"learning_rate": 4.
|
104 |
-
"loss": 1.
|
105 |
"step": 70
|
106 |
},
|
107 |
{
|
108 |
-
"epoch":
|
109 |
-
"
|
110 |
-
"
|
111 |
-
"eval_runtime": 8.7499,
|
112 |
-
"eval_samples_per_second": 49.029,
|
113 |
-
"eval_steps_per_second": 1.6,
|
114 |
-
"step": 75
|
115 |
-
},
|
116 |
-
{
|
117 |
-
"epoch": 7.44,
|
118 |
-
"learning_rate": 4.074074074074074e-05,
|
119 |
-
"loss": 1.3296,
|
120 |
"step": 80
|
121 |
},
|
122 |
{
|
123 |
-
"epoch":
|
124 |
-
"eval_accuracy": 0.
|
125 |
-
"eval_loss": 1.
|
126 |
-
"eval_runtime":
|
127 |
-
"eval_samples_per_second":
|
128 |
-
"eval_steps_per_second": 1.
|
129 |
-
"step":
|
130 |
},
|
131 |
{
|
132 |
-
"epoch":
|
133 |
-
"learning_rate":
|
134 |
-
"loss": 1.
|
135 |
"step": 90
|
136 |
},
|
137 |
{
|
138 |
-
"epoch":
|
139 |
-
"eval_accuracy": 0.
|
140 |
-
"eval_loss": 1.
|
141 |
-
"eval_runtime":
|
142 |
-
"eval_samples_per_second":
|
143 |
-
"eval_steps_per_second": 1.
|
144 |
"step": 96
|
145 |
},
|
146 |
{
|
147 |
-
"epoch":
|
148 |
-
"learning_rate":
|
149 |
-
"loss": 1.
|
150 |
"step": 100
|
151 |
},
|
152 |
{
|
153 |
-
"epoch":
|
154 |
-
"
|
155 |
-
"
|
156 |
-
"eval_runtime": 8.6578,
|
157 |
-
"eval_samples_per_second": 49.551,
|
158 |
-
"eval_steps_per_second": 1.617,
|
159 |
-
"step": 107
|
160 |
-
},
|
161 |
-
{
|
162 |
-
"epoch": 10.23,
|
163 |
-
"learning_rate": 3.518518518518519e-05,
|
164 |
-
"loss": 1.3014,
|
165 |
"step": 110
|
166 |
},
|
167 |
{
|
168 |
-
"epoch":
|
169 |
-
"eval_accuracy": 0.
|
170 |
-
"eval_loss": 1.
|
171 |
-
"eval_runtime":
|
172 |
-
"eval_samples_per_second":
|
173 |
-
"eval_steps_per_second": 1.
|
174 |
-
"step":
|
175 |
},
|
176 |
{
|
177 |
-
"epoch":
|
178 |
-
"learning_rate":
|
179 |
-
"loss": 1.
|
180 |
"step": 120
|
181 |
},
|
182 |
{
|
183 |
-
"epoch":
|
184 |
-
"eval_accuracy": 0.
|
185 |
-
"eval_loss": 1.
|
186 |
-
"eval_runtime":
|
187 |
-
"eval_samples_per_second":
|
188 |
-
"eval_steps_per_second": 1.
|
189 |
-
"step":
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 12
|
193 |
-
"learning_rate":
|
194 |
-
"loss": 1.
|
195 |
"step": 130
|
196 |
},
|
197 |
{
|
198 |
-
"epoch":
|
199 |
-
"
|
200 |
-
"
|
201 |
-
"eval_runtime": 8.3675,
|
202 |
-
"eval_samples_per_second": 51.27,
|
203 |
-
"eval_steps_per_second": 1.673,
|
204 |
-
"step": 139
|
205 |
-
},
|
206 |
-
{
|
207 |
-
"epoch": 13.02,
|
208 |
-
"learning_rate": 2.962962962962963e-05,
|
209 |
-
"loss": 1.1844,
|
210 |
"step": 140
|
211 |
},
|
212 |
{
|
213 |
-
"epoch":
|
214 |
-
"
|
215 |
-
"
|
216 |
-
"
|
|
|
|
|
|
|
217 |
},
|
218 |
{
|
219 |
-
"epoch":
|
220 |
-
"
|
221 |
-
"
|
222 |
-
"eval_runtime": 8.5717,
|
223 |
-
"eval_samples_per_second": 50.049,
|
224 |
-
"eval_steps_per_second": 1.633,
|
225 |
"step": 150
|
226 |
},
|
227 |
{
|
228 |
-
"epoch":
|
229 |
-
"learning_rate":
|
230 |
-
"loss": 1.
|
231 |
"step": 160
|
232 |
},
|
233 |
{
|
234 |
-
"epoch":
|
235 |
-
"eval_accuracy": 0.
|
236 |
-
"eval_loss": 1.
|
237 |
-
"eval_runtime":
|
238 |
-
"eval_samples_per_second":
|
239 |
-
"eval_steps_per_second": 1.
|
240 |
-
"step":
|
241 |
},
|
242 |
{
|
243 |
-
"epoch":
|
244 |
-
"learning_rate":
|
245 |
-
"loss": 1.
|
246 |
"step": 170
|
247 |
},
|
248 |
{
|
249 |
-
"epoch":
|
250 |
-
"eval_accuracy": 0.
|
251 |
-
"eval_loss": 1.
|
252 |
-
"eval_runtime":
|
253 |
-
"eval_samples_per_second": 48.
|
254 |
-
"eval_steps_per_second": 1.
|
255 |
-
"step":
|
256 |
},
|
257 |
{
|
258 |
-
"epoch":
|
259 |
-
"learning_rate":
|
260 |
-
"loss": 1.
|
261 |
"step": 180
|
262 |
},
|
263 |
{
|
264 |
-
"epoch":
|
265 |
-
"
|
266 |
-
"
|
267 |
-
"eval_runtime": 8.7717,
|
268 |
-
"eval_samples_per_second": 48.907,
|
269 |
-
"eval_steps_per_second": 1.596,
|
270 |
-
"step": 182
|
271 |
-
},
|
272 |
-
{
|
273 |
-
"epoch": 17.67,
|
274 |
-
"learning_rate": 2.037037037037037e-05,
|
275 |
-
"loss": 1.0631,
|
276 |
"step": 190
|
277 |
},
|
278 |
{
|
279 |
-
"epoch":
|
280 |
-
"eval_accuracy": 0.
|
281 |
-
"eval_loss": 1.
|
282 |
-
"eval_runtime":
|
283 |
-
"eval_samples_per_second":
|
284 |
-
"eval_steps_per_second": 1.
|
285 |
-
"step":
|
286 |
},
|
287 |
{
|
288 |
-
"epoch":
|
289 |
-
"learning_rate":
|
290 |
-
"loss":
|
291 |
"step": 200
|
292 |
},
|
293 |
{
|
294 |
-
"epoch":
|
295 |
-
"eval_accuracy": 0.
|
296 |
-
"eval_loss": 1.
|
297 |
-
"eval_runtime":
|
298 |
-
"eval_samples_per_second":
|
299 |
-
"eval_steps_per_second": 1.
|
300 |
-
"step":
|
301 |
},
|
302 |
{
|
303 |
-
"epoch":
|
304 |
-
"learning_rate":
|
305 |
-
"loss": 1.
|
306 |
"step": 210
|
307 |
},
|
308 |
{
|
309 |
-
"epoch":
|
310 |
-
"
|
311 |
-
"
|
312 |
-
"eval_runtime": 8.2769,
|
313 |
-
"eval_samples_per_second": 51.831,
|
314 |
-
"eval_steps_per_second": 1.691,
|
315 |
-
"step": 215
|
316 |
-
},
|
317 |
-
{
|
318 |
-
"epoch": 20.47,
|
319 |
-
"learning_rate": 1.4814814814814815e-05,
|
320 |
-
"loss": 0.9663,
|
321 |
"step": 220
|
322 |
},
|
323 |
{
|
324 |
-
"epoch":
|
325 |
-
"eval_accuracy": 0.
|
326 |
-
"eval_loss": 1.
|
327 |
-
"eval_runtime":
|
328 |
-
"eval_samples_per_second":
|
329 |
-
"eval_steps_per_second": 1.
|
330 |
-
"step":
|
331 |
},
|
332 |
{
|
333 |
-
"epoch":
|
334 |
-
"learning_rate":
|
335 |
-
"loss":
|
336 |
"step": 230
|
337 |
},
|
338 |
{
|
339 |
-
"epoch":
|
340 |
-
"
|
341 |
-
"
|
342 |
-
"eval_runtime": 8.343,
|
343 |
-
"eval_samples_per_second": 51.42,
|
344 |
-
"eval_steps_per_second": 1.678,
|
345 |
-
"step": 236
|
346 |
-
},
|
347 |
-
{
|
348 |
-
"epoch": 22.33,
|
349 |
-
"learning_rate": 1.1111111111111112e-05,
|
350 |
-
"loss": 0.9506,
|
351 |
"step": 240
|
352 |
},
|
353 |
{
|
354 |
-
"epoch":
|
355 |
-
"eval_accuracy": 0.
|
356 |
-
"eval_loss": 1.
|
357 |
-
"eval_runtime":
|
358 |
-
"eval_samples_per_second":
|
359 |
-
"eval_steps_per_second": 1.
|
360 |
-
"step":
|
361 |
},
|
362 |
{
|
363 |
-
"epoch":
|
364 |
-
"learning_rate":
|
365 |
-
"loss": 0.
|
366 |
"step": 250
|
367 |
},
|
368 |
{
|
369 |
-
"epoch":
|
370 |
-
"eval_accuracy": 0.
|
371 |
-
"eval_loss": 1.
|
372 |
-
"eval_runtime":
|
373 |
-
"eval_samples_per_second":
|
374 |
-
"eval_steps_per_second": 1.
|
375 |
-
"step":
|
376 |
},
|
377 |
{
|
378 |
-
"epoch":
|
379 |
-
"learning_rate":
|
380 |
-
"loss": 0.
|
381 |
"step": 260
|
382 |
},
|
383 |
{
|
384 |
-
"epoch":
|
385 |
-
"
|
386 |
-
"
|
387 |
-
"eval_runtime": 8.3339,
|
388 |
-
"eval_samples_per_second": 51.476,
|
389 |
-
"eval_steps_per_second": 1.68,
|
390 |
-
"step": 268
|
391 |
-
},
|
392 |
-
{
|
393 |
-
"epoch": 25.12,
|
394 |
-
"learning_rate": 5.555555555555556e-06,
|
395 |
-
"loss": 0.8731,
|
396 |
"step": 270
|
397 |
},
|
398 |
{
|
399 |
-
"epoch":
|
400 |
-
"eval_accuracy": 0.
|
401 |
-
"eval_loss": 1.
|
402 |
-
"eval_runtime":
|
403 |
-
"eval_samples_per_second":
|
404 |
-
"eval_steps_per_second": 1.
|
405 |
-
"step":
|
406 |
},
|
407 |
{
|
408 |
-
"epoch":
|
409 |
-
"learning_rate":
|
410 |
-
"loss": 0.
|
411 |
"step": 280
|
412 |
},
|
413 |
{
|
414 |
-
"epoch":
|
415 |
-
"
|
416 |
-
"
|
417 |
-
"
|
|
|
|
|
|
|
418 |
},
|
419 |
{
|
420 |
-
"epoch":
|
421 |
-
"
|
422 |
-
"
|
423 |
-
"eval_runtime": 8.7766,
|
424 |
-
"eval_samples_per_second": 48.88,
|
425 |
-
"eval_steps_per_second": 1.595,
|
426 |
"step": 290
|
427 |
},
|
428 |
{
|
429 |
-
"epoch":
|
430 |
-
"learning_rate":
|
431 |
-
"loss": 0.
|
432 |
"step": 300
|
433 |
},
|
434 |
{
|
435 |
-
"epoch":
|
436 |
-
"eval_accuracy": 0.
|
437 |
-
"eval_loss": 1.
|
438 |
-
"eval_runtime":
|
439 |
-
"eval_samples_per_second":
|
440 |
-
"eval_steps_per_second": 1.
|
441 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
442 |
},
|
443 |
{
|
444 |
-
"epoch": 27.
|
445 |
-
"
|
446 |
-
"
|
447 |
-
"
|
448 |
-
|
449 |
-
|
450 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
451 |
}
|
452 |
],
|
453 |
"logging_steps": 10,
|
454 |
-
"max_steps":
|
455 |
"num_train_epochs": 30,
|
456 |
"save_steps": 500,
|
457 |
-
"total_flos":
|
458 |
"trial_name": null,
|
459 |
"trial_params": null
|
460 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.41899441340782123,
|
3 |
+
"best_model_checkpoint": "convnextv2-base-1k-224-for-pre_evaluation/checkpoint-128",
|
4 |
+
"epoch": 30.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 480,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.62,
|
13 |
+
"learning_rate": 1.0416666666666668e-05,
|
14 |
+
"loss": 1.6,
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 1.0,
|
19 |
+
"eval_accuracy": 0.29608938547486036,
|
20 |
+
"eval_loss": 1.5315604209899902,
|
21 |
+
"eval_runtime": 6.8342,
|
22 |
+
"eval_samples_per_second": 52.384,
|
23 |
+
"eval_steps_per_second": 1.756,
|
24 |
+
"step": 16
|
25 |
},
|
26 |
{
|
27 |
+
"epoch": 1.25,
|
28 |
+
"learning_rate": 2.0833333333333336e-05,
|
29 |
+
"loss": 1.535,
|
30 |
"step": 20
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 1.88,
|
34 |
+
"learning_rate": 3.125e-05,
|
35 |
+
"loss": 1.5084,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
36 |
"step": 30
|
37 |
},
|
38 |
{
|
39 |
+
"epoch": 2.0,
|
40 |
+
"eval_accuracy": 0.2849162011173184,
|
41 |
+
"eval_loss": 1.5060781240463257,
|
42 |
+
"eval_runtime": 7.4696,
|
43 |
+
"eval_samples_per_second": 47.928,
|
44 |
+
"eval_steps_per_second": 1.607,
|
45 |
"step": 32
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 2.5,
|
49 |
+
"learning_rate": 4.166666666666667e-05,
|
50 |
+
"loss": 1.5134,
|
51 |
"step": 40
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 3.0,
|
55 |
+
"eval_accuracy": 0.3240223463687151,
|
56 |
+
"eval_loss": 1.4968407154083252,
|
57 |
+
"eval_runtime": 7.1172,
|
58 |
+
"eval_samples_per_second": 50.301,
|
59 |
+
"eval_steps_per_second": 1.686,
|
60 |
+
"step": 48
|
61 |
},
|
62 |
{
|
63 |
+
"epoch": 3.12,
|
64 |
+
"learning_rate": 4.976851851851852e-05,
|
65 |
+
"loss": 1.4694,
|
66 |
"step": 50
|
67 |
},
|
68 |
{
|
69 |
+
"epoch": 3.75,
|
70 |
+
"learning_rate": 4.8611111111111115e-05,
|
71 |
+
"loss": 1.4663,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
72 |
"step": 60
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 4.0,
|
76 |
+
"eval_accuracy": 0.33519553072625696,
|
77 |
+
"eval_loss": 1.4607384204864502,
|
78 |
+
"eval_runtime": 7.4013,
|
79 |
+
"eval_samples_per_second": 48.37,
|
80 |
+
"eval_steps_per_second": 1.621,
|
81 |
"step": 64
|
82 |
},
|
83 |
{
|
84 |
+
"epoch": 4.38,
|
85 |
+
"learning_rate": 4.745370370370371e-05,
|
86 |
+
"loss": 1.4375,
|
87 |
"step": 70
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 5.0,
|
91 |
+
"learning_rate": 4.62962962962963e-05,
|
92 |
+
"loss": 1.4046,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
93 |
"step": 80
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 5.0,
|
97 |
+
"eval_accuracy": 0.3268156424581006,
|
98 |
+
"eval_loss": 1.4509011507034302,
|
99 |
+
"eval_runtime": 6.83,
|
100 |
+
"eval_samples_per_second": 52.416,
|
101 |
+
"eval_steps_per_second": 1.757,
|
102 |
+
"step": 80
|
103 |
},
|
104 |
{
|
105 |
+
"epoch": 5.62,
|
106 |
+
"learning_rate": 4.5138888888888894e-05,
|
107 |
+
"loss": 1.4085,
|
108 |
"step": 90
|
109 |
},
|
110 |
{
|
111 |
+
"epoch": 6.0,
|
112 |
+
"eval_accuracy": 0.388268156424581,
|
113 |
+
"eval_loss": 1.4423185586929321,
|
114 |
+
"eval_runtime": 7.3683,
|
115 |
+
"eval_samples_per_second": 48.587,
|
116 |
+
"eval_steps_per_second": 1.629,
|
117 |
"step": 96
|
118 |
},
|
119 |
{
|
120 |
+
"epoch": 6.25,
|
121 |
+
"learning_rate": 4.3981481481481486e-05,
|
122 |
+
"loss": 1.3765,
|
123 |
"step": 100
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 6.88,
|
127 |
+
"learning_rate": 4.282407407407408e-05,
|
128 |
+
"loss": 1.3443,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
129 |
"step": 110
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 7.0,
|
133 |
+
"eval_accuracy": 0.4022346368715084,
|
134 |
+
"eval_loss": 1.400512456893921,
|
135 |
+
"eval_runtime": 6.9156,
|
136 |
+
"eval_samples_per_second": 51.767,
|
137 |
+
"eval_steps_per_second": 1.735,
|
138 |
+
"step": 112
|
139 |
},
|
140 |
{
|
141 |
+
"epoch": 7.5,
|
142 |
+
"learning_rate": 4.166666666666667e-05,
|
143 |
+
"loss": 1.3025,
|
144 |
"step": 120
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 8.0,
|
148 |
+
"eval_accuracy": 0.41899441340782123,
|
149 |
+
"eval_loss": 1.359870195388794,
|
150 |
+
"eval_runtime": 7.041,
|
151 |
+
"eval_samples_per_second": 50.845,
|
152 |
+
"eval_steps_per_second": 1.704,
|
153 |
+
"step": 128
|
154 |
},
|
155 |
{
|
156 |
+
"epoch": 8.12,
|
157 |
+
"learning_rate": 4.0509259259259265e-05,
|
158 |
+
"loss": 1.2668,
|
159 |
"step": 130
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 8.75,
|
163 |
+
"learning_rate": 3.935185185185186e-05,
|
164 |
+
"loss": 1.2627,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
165 |
"step": 140
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 9.0,
|
169 |
+
"eval_accuracy": 0.39106145251396646,
|
170 |
+
"eval_loss": 1.3638169765472412,
|
171 |
+
"eval_runtime": 7.2532,
|
172 |
+
"eval_samples_per_second": 49.357,
|
173 |
+
"eval_steps_per_second": 1.654,
|
174 |
+
"step": 144
|
175 |
},
|
176 |
{
|
177 |
+
"epoch": 9.38,
|
178 |
+
"learning_rate": 3.8194444444444444e-05,
|
179 |
+
"loss": 1.2427,
|
|
|
|
|
|
|
180 |
"step": 150
|
181 |
},
|
182 |
{
|
183 |
+
"epoch": 10.0,
|
184 |
+
"learning_rate": 3.7037037037037037e-05,
|
185 |
+
"loss": 1.2099,
|
186 |
"step": 160
|
187 |
},
|
188 |
{
|
189 |
+
"epoch": 10.0,
|
190 |
+
"eval_accuracy": 0.34916201117318435,
|
191 |
+
"eval_loss": 1.4057648181915283,
|
192 |
+
"eval_runtime": 7.508,
|
193 |
+
"eval_samples_per_second": 47.682,
|
194 |
+
"eval_steps_per_second": 1.598,
|
195 |
+
"step": 160
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 10.62,
|
199 |
+
"learning_rate": 3.587962962962963e-05,
|
200 |
+
"loss": 1.2086,
|
201 |
"step": 170
|
202 |
},
|
203 |
{
|
204 |
+
"epoch": 11.0,
|
205 |
+
"eval_accuracy": 0.3407821229050279,
|
206 |
+
"eval_loss": 1.443146824836731,
|
207 |
+
"eval_runtime": 7.4283,
|
208 |
+
"eval_samples_per_second": 48.194,
|
209 |
+
"eval_steps_per_second": 1.615,
|
210 |
+
"step": 176
|
211 |
},
|
212 |
{
|
213 |
+
"epoch": 11.25,
|
214 |
+
"learning_rate": 3.472222222222222e-05,
|
215 |
+
"loss": 1.1684,
|
216 |
"step": 180
|
217 |
},
|
218 |
{
|
219 |
+
"epoch": 11.88,
|
220 |
+
"learning_rate": 3.3564814814814815e-05,
|
221 |
+
"loss": 1.1393,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
222 |
"step": 190
|
223 |
},
|
224 |
{
|
225 |
+
"epoch": 12.0,
|
226 |
+
"eval_accuracy": 0.34916201117318435,
|
227 |
+
"eval_loss": 1.4143450260162354,
|
228 |
+
"eval_runtime": 7.1396,
|
229 |
+
"eval_samples_per_second": 50.143,
|
230 |
+
"eval_steps_per_second": 1.681,
|
231 |
+
"step": 192
|
232 |
},
|
233 |
{
|
234 |
+
"epoch": 12.5,
|
235 |
+
"learning_rate": 3.240740740740741e-05,
|
236 |
+
"loss": 1.1039,
|
237 |
"step": 200
|
238 |
},
|
239 |
{
|
240 |
+
"epoch": 13.0,
|
241 |
+
"eval_accuracy": 0.388268156424581,
|
242 |
+
"eval_loss": 1.4305065870285034,
|
243 |
+
"eval_runtime": 6.8442,
|
244 |
+
"eval_samples_per_second": 52.307,
|
245 |
+
"eval_steps_per_second": 1.753,
|
246 |
+
"step": 208
|
247 |
},
|
248 |
{
|
249 |
+
"epoch": 13.12,
|
250 |
+
"learning_rate": 3.125e-05,
|
251 |
+
"loss": 1.0641,
|
252 |
"step": 210
|
253 |
},
|
254 |
{
|
255 |
+
"epoch": 13.75,
|
256 |
+
"learning_rate": 3.0092592592592593e-05,
|
257 |
+
"loss": 1.0551,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
258 |
"step": 220
|
259 |
},
|
260 |
{
|
261 |
+
"epoch": 14.0,
|
262 |
+
"eval_accuracy": 0.35195530726256985,
|
263 |
+
"eval_loss": 1.5202596187591553,
|
264 |
+
"eval_runtime": 7.2925,
|
265 |
+
"eval_samples_per_second": 49.091,
|
266 |
+
"eval_steps_per_second": 1.646,
|
267 |
+
"step": 224
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 14.38,
|
271 |
+
"learning_rate": 2.8935185185185186e-05,
|
272 |
+
"loss": 1.0686,
|
273 |
"step": 230
|
274 |
},
|
275 |
{
|
276 |
+
"epoch": 15.0,
|
277 |
+
"learning_rate": 2.777777777777778e-05,
|
278 |
+
"loss": 1.0368,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
279 |
"step": 240
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 15.0,
|
283 |
+
"eval_accuracy": 0.3324022346368715,
|
284 |
+
"eval_loss": 1.5117393732070923,
|
285 |
+
"eval_runtime": 6.8377,
|
286 |
+
"eval_samples_per_second": 52.356,
|
287 |
+
"eval_steps_per_second": 1.755,
|
288 |
+
"step": 240
|
289 |
},
|
290 |
{
|
291 |
+
"epoch": 15.62,
|
292 |
+
"learning_rate": 2.6620370370370372e-05,
|
293 |
+
"loss": 0.9753,
|
294 |
"step": 250
|
295 |
},
|
296 |
{
|
297 |
+
"epoch": 16.0,
|
298 |
+
"eval_accuracy": 0.3770949720670391,
|
299 |
+
"eval_loss": 1.4545259475708008,
|
300 |
+
"eval_runtime": 7.0796,
|
301 |
+
"eval_samples_per_second": 50.568,
|
302 |
+
"eval_steps_per_second": 1.695,
|
303 |
+
"step": 256
|
304 |
},
|
305 |
{
|
306 |
+
"epoch": 16.25,
|
307 |
+
"learning_rate": 2.5462962962962965e-05,
|
308 |
+
"loss": 0.9677,
|
309 |
"step": 260
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 16.88,
|
313 |
+
"learning_rate": 2.4305555555555558e-05,
|
314 |
+
"loss": 0.938,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
315 |
"step": 270
|
316 |
},
|
317 |
{
|
318 |
+
"epoch": 17.0,
|
319 |
+
"eval_accuracy": 0.33519553072625696,
|
320 |
+
"eval_loss": 1.5396308898925781,
|
321 |
+
"eval_runtime": 7.1168,
|
322 |
+
"eval_samples_per_second": 50.304,
|
323 |
+
"eval_steps_per_second": 1.686,
|
324 |
+
"step": 272
|
325 |
},
|
326 |
{
|
327 |
+
"epoch": 17.5,
|
328 |
+
"learning_rate": 2.314814814814815e-05,
|
329 |
+
"loss": 0.899,
|
330 |
"step": 280
|
331 |
},
|
332 |
{
|
333 |
+
"epoch": 18.0,
|
334 |
+
"eval_accuracy": 0.3407821229050279,
|
335 |
+
"eval_loss": 1.5770219564437866,
|
336 |
+
"eval_runtime": 6.8822,
|
337 |
+
"eval_samples_per_second": 52.018,
|
338 |
+
"eval_steps_per_second": 1.744,
|
339 |
+
"step": 288
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 18.12,
|
343 |
+
"learning_rate": 2.1990740740740743e-05,
|
344 |
+
"loss": 0.9047,
|
|
|
|
|
|
|
345 |
"step": 290
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 18.75,
|
349 |
+
"learning_rate": 2.0833333333333336e-05,
|
350 |
+
"loss": 0.8629,
|
351 |
"step": 300
|
352 |
},
|
353 |
{
|
354 |
+
"epoch": 19.0,
|
355 |
+
"eval_accuracy": 0.3128491620111732,
|
356 |
+
"eval_loss": 1.7105906009674072,
|
357 |
+
"eval_runtime": 7.3502,
|
358 |
+
"eval_samples_per_second": 48.706,
|
359 |
+
"eval_steps_per_second": 1.633,
|
360 |
+
"step": 304
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 19.38,
|
364 |
+
"learning_rate": 1.967592592592593e-05,
|
365 |
+
"loss": 0.8624,
|
366 |
+
"step": 310
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 20.0,
|
370 |
+
"learning_rate": 1.8518518518518518e-05,
|
371 |
+
"loss": 0.8674,
|
372 |
+
"step": 320
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 20.0,
|
376 |
+
"eval_accuracy": 0.33519553072625696,
|
377 |
+
"eval_loss": 1.5864217281341553,
|
378 |
+
"eval_runtime": 7.1963,
|
379 |
+
"eval_samples_per_second": 49.748,
|
380 |
+
"eval_steps_per_second": 1.668,
|
381 |
+
"step": 320
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 20.62,
|
385 |
+
"learning_rate": 1.736111111111111e-05,
|
386 |
+
"loss": 0.7789,
|
387 |
+
"step": 330
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 21.0,
|
391 |
+
"eval_accuracy": 0.3407821229050279,
|
392 |
+
"eval_loss": 1.6129050254821777,
|
393 |
+
"eval_runtime": 7.1496,
|
394 |
+
"eval_samples_per_second": 50.073,
|
395 |
+
"eval_steps_per_second": 1.678,
|
396 |
+
"step": 336
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 21.25,
|
400 |
+
"learning_rate": 1.6203703703703704e-05,
|
401 |
+
"loss": 0.8161,
|
402 |
+
"step": 340
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 21.88,
|
406 |
+
"learning_rate": 1.5046296296296297e-05,
|
407 |
+
"loss": 0.7426,
|
408 |
+
"step": 350
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 22.0,
|
412 |
+
"eval_accuracy": 0.36033519553072624,
|
413 |
+
"eval_loss": 1.6353477239608765,
|
414 |
+
"eval_runtime": 7.4456,
|
415 |
+
"eval_samples_per_second": 48.082,
|
416 |
+
"eval_steps_per_second": 1.612,
|
417 |
+
"step": 352
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 22.5,
|
421 |
+
"learning_rate": 1.388888888888889e-05,
|
422 |
+
"loss": 0.7677,
|
423 |
+
"step": 360
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 23.0,
|
427 |
+
"eval_accuracy": 0.3463687150837989,
|
428 |
+
"eval_loss": 1.6793445348739624,
|
429 |
+
"eval_runtime": 6.994,
|
430 |
+
"eval_samples_per_second": 51.187,
|
431 |
+
"eval_steps_per_second": 1.716,
|
432 |
+
"step": 368
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 23.12,
|
436 |
+
"learning_rate": 1.2731481481481482e-05,
|
437 |
+
"loss": 0.7327,
|
438 |
+
"step": 370
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 23.75,
|
442 |
+
"learning_rate": 1.1574074074074075e-05,
|
443 |
+
"loss": 0.7172,
|
444 |
+
"step": 380
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 24.0,
|
448 |
+
"eval_accuracy": 0.3575418994413408,
|
449 |
+
"eval_loss": 1.6759321689605713,
|
450 |
+
"eval_runtime": 7.4394,
|
451 |
+
"eval_samples_per_second": 48.122,
|
452 |
+
"eval_steps_per_second": 1.613,
|
453 |
+
"step": 384
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 24.38,
|
457 |
+
"learning_rate": 1.0416666666666668e-05,
|
458 |
+
"loss": 0.6759,
|
459 |
+
"step": 390
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 25.0,
|
463 |
+
"learning_rate": 9.259259259259259e-06,
|
464 |
+
"loss": 0.6809,
|
465 |
+
"step": 400
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 25.0,
|
469 |
+
"eval_accuracy": 0.3659217877094972,
|
470 |
+
"eval_loss": 1.701292634010315,
|
471 |
+
"eval_runtime": 7.4138,
|
472 |
+
"eval_samples_per_second": 48.288,
|
473 |
+
"eval_steps_per_second": 1.619,
|
474 |
+
"step": 400
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 25.62,
|
478 |
+
"learning_rate": 8.101851851851852e-06,
|
479 |
+
"loss": 0.6619,
|
480 |
+
"step": 410
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 26.0,
|
484 |
+
"eval_accuracy": 0.36312849162011174,
|
485 |
+
"eval_loss": 1.7108293771743774,
|
486 |
+
"eval_runtime": 7.238,
|
487 |
+
"eval_samples_per_second": 49.461,
|
488 |
+
"eval_steps_per_second": 1.658,
|
489 |
+
"step": 416
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 26.25,
|
493 |
+
"learning_rate": 6.944444444444445e-06,
|
494 |
+
"loss": 0.6773,
|
495 |
+
"step": 420
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 26.88,
|
499 |
+
"learning_rate": 5.787037037037038e-06,
|
500 |
+
"loss": 0.6656,
|
501 |
+
"step": 430
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 27.0,
|
505 |
+
"eval_accuracy": 0.3715083798882682,
|
506 |
+
"eval_loss": 1.7327028512954712,
|
507 |
+
"eval_runtime": 6.8416,
|
508 |
+
"eval_samples_per_second": 52.327,
|
509 |
+
"eval_steps_per_second": 1.754,
|
510 |
+
"step": 432
|
511 |
},
|
512 |
{
|
513 |
+
"epoch": 27.5,
|
514 |
+
"learning_rate": 4.6296296296296296e-06,
|
515 |
+
"loss": 0.6258,
|
516 |
+
"step": 440
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 28.0,
|
520 |
+
"eval_accuracy": 0.3547486033519553,
|
521 |
+
"eval_loss": 1.7377949953079224,
|
522 |
+
"eval_runtime": 7.2785,
|
523 |
+
"eval_samples_per_second": 49.186,
|
524 |
+
"eval_steps_per_second": 1.649,
|
525 |
+
"step": 448
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 28.12,
|
529 |
+
"learning_rate": 3.4722222222222224e-06,
|
530 |
+
"loss": 0.6646,
|
531 |
+
"step": 450
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 28.75,
|
535 |
+
"learning_rate": 2.3148148148148148e-06,
|
536 |
+
"loss": 0.6173,
|
537 |
+
"step": 460
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 29.0,
|
541 |
+
"eval_accuracy": 0.36033519553072624,
|
542 |
+
"eval_loss": 1.7461235523223877,
|
543 |
+
"eval_runtime": 6.8622,
|
544 |
+
"eval_samples_per_second": 52.17,
|
545 |
+
"eval_steps_per_second": 1.749,
|
546 |
+
"step": 464
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 29.38,
|
550 |
+
"learning_rate": 1.1574074074074074e-06,
|
551 |
+
"loss": 0.6482,
|
552 |
+
"step": 470
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 30.0,
|
556 |
+
"learning_rate": 0.0,
|
557 |
+
"loss": 0.6214,
|
558 |
+
"step": 480
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 30.0,
|
562 |
+
"eval_accuracy": 0.35195530726256985,
|
563 |
+
"eval_loss": 1.7475444078445435,
|
564 |
+
"eval_runtime": 7.4355,
|
565 |
+
"eval_samples_per_second": 48.148,
|
566 |
+
"eval_steps_per_second": 1.614,
|
567 |
+
"step": 480
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 30.0,
|
571 |
+
"step": 480,
|
572 |
+
"total_flos": 4.840276186658304e+18,
|
573 |
+
"train_loss": 1.0325976332028708,
|
574 |
+
"train_runtime": 3493.542,
|
575 |
+
"train_samples_per_second": 17.492,
|
576 |
+
"train_steps_per_second": 0.137
|
577 |
}
|
578 |
],
|
579 |
"logging_steps": 10,
|
580 |
+
"max_steps": 480,
|
581 |
"num_train_epochs": 30,
|
582 |
"save_steps": 500,
|
583 |
+
"total_flos": 4.840276186658304e+18,
|
584 |
"trial_name": null,
|
585 |
"trial_params": null
|
586 |
}
|