End of training
Browse files- README.md +5 -5
- all_results.json +14 -14
- eval_results.json +9 -9
- runs/Sep04_13-14-39_5bdf525bf655/events.out.tfevents.1725458001.5bdf525bf655.4076.3 +3 -0
- train_results.json +6 -6
- trainer_state.json +475 -762
README.md
CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
20 |
|
21 |
This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on an unknown dataset.
|
22 |
It achieves the following results on the evaluation set:
|
23 |
-
- Loss: 0.
|
24 |
-
- Accuracy: 0.
|
25 |
-
- F1: 0.
|
26 |
-
- Precision: 0.
|
27 |
-
- Recall: 0.
|
28 |
|
29 |
## Model description
|
30 |
|
|
|
20 |
|
21 |
This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on an unknown dataset.
|
22 |
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 0.9468
|
24 |
+
- Accuracy: 0.5932
|
25 |
+
- F1: 0.5674
|
26 |
+
- Precision: 0.5709
|
27 |
+
- Recall: 0.5932
|
28 |
|
29 |
## Model description
|
30 |
|
all_results.json
CHANGED
@@ -1,16 +1,16 @@
|
|
1 |
{
|
2 |
-
"epoch": 11.
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_f1": 0.
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_precision": 0.
|
7 |
-
"eval_recall": 0.
|
8 |
-
"eval_runtime": 10.
|
9 |
-
"eval_samples_per_second":
|
10 |
-
"eval_steps_per_second": 6.
|
11 |
-
"total_flos":
|
12 |
-
"train_loss": 1.
|
13 |
-
"train_runtime":
|
14 |
-
"train_samples_per_second":
|
15 |
-
"train_steps_per_second": 0.
|
16 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 11.956043956043956,
|
3 |
+
"eval_accuracy": 0.5932047750229569,
|
4 |
+
"eval_f1": 0.5674291939014156,
|
5 |
+
"eval_loss": 0.9468401074409485,
|
6 |
+
"eval_precision": 0.5709384462011384,
|
7 |
+
"eval_recall": 0.5932047750229569,
|
8 |
+
"eval_runtime": 10.108,
|
9 |
+
"eval_samples_per_second": 107.737,
|
10 |
+
"eval_steps_per_second": 6.826,
|
11 |
+
"total_flos": 4.123334853511373e+18,
|
12 |
+
"train_loss": 1.090085435147379,
|
13 |
+
"train_runtime": 2115.1144,
|
14 |
+
"train_samples_per_second": 24.697,
|
15 |
+
"train_steps_per_second": 0.386
|
16 |
}
|
eval_results.json
CHANGED
@@ -1,11 +1,11 @@
|
|
1 |
{
|
2 |
-
"epoch": 11.
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_f1": 0.
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_precision": 0.
|
7 |
-
"eval_recall": 0.
|
8 |
-
"eval_runtime": 10.
|
9 |
-
"eval_samples_per_second":
|
10 |
-
"eval_steps_per_second": 6.
|
11 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 11.956043956043956,
|
3 |
+
"eval_accuracy": 0.5932047750229569,
|
4 |
+
"eval_f1": 0.5674291939014156,
|
5 |
+
"eval_loss": 0.9468401074409485,
|
6 |
+
"eval_precision": 0.5709384462011384,
|
7 |
+
"eval_recall": 0.5932047750229569,
|
8 |
+
"eval_runtime": 10.108,
|
9 |
+
"eval_samples_per_second": 107.737,
|
10 |
+
"eval_steps_per_second": 6.826
|
11 |
}
|
runs/Sep04_13-14-39_5bdf525bf655/events.out.tfevents.1725458001.5bdf525bf655.4076.3
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d628f1953adcbffb811c23a083711fdbc320a593f1e5f0c11b8471c81024a13b
|
3 |
+
size 560
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch": 11.
|
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": 11.956043956043956,
|
3 |
+
"total_flos": 4.123334853511373e+18,
|
4 |
+
"train_loss": 1.090085435147379,
|
5 |
+
"train_runtime": 2115.1144,
|
6 |
+
"train_samples_per_second": 24.697,
|
7 |
+
"train_steps_per_second": 0.386
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,1023 +1,736 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "convnextv2-base-22k-224-finetuned-tekno24/checkpoint-
|
4 |
-
"epoch": 11.
|
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 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"loss": 1.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate":
|
22 |
-
"loss": 1.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"grad_norm":
|
28 |
-
"learning_rate": 1.
|
29 |
-
"loss": 1.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate":
|
36 |
-
"loss": 1.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"grad_norm":
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 1.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"grad_norm":
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 1.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"
|
56 |
-
"
|
57 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
-
"epoch":
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 1.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
-
"epoch":
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
-
"epoch":
|
76 |
-
"grad_norm":
|
77 |
-
"learning_rate":
|
78 |
-
"loss": 1.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
-
"epoch":
|
83 |
-
"
|
84 |
-
"
|
85 |
-
"
|
86 |
-
"eval_precision": 0.4782877718762662,
|
87 |
-
"eval_recall": 0.5206611570247934,
|
88 |
-
"eval_runtime": 10.5321,
|
89 |
-
"eval_samples_per_second": 103.399,
|
90 |
-
"eval_steps_per_second": 6.551,
|
91 |
-
"step": 102
|
92 |
-
},
|
93 |
-
{
|
94 |
-
"epoch": 1.0731707317073171,
|
95 |
-
"grad_norm": 11.261804580688477,
|
96 |
-
"learning_rate": 4.390243902439025e-05,
|
97 |
-
"loss": 1.2688,
|
98 |
"step": 110
|
99 |
},
|
100 |
{
|
101 |
-
"epoch": 1.
|
102 |
-
"grad_norm":
|
103 |
-
"learning_rate": 4.
|
104 |
-
"loss": 1.
|
105 |
"step": 120
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 1.
|
109 |
-
"grad_norm":
|
110 |
-
"learning_rate": 4.
|
111 |
-
"loss": 1.
|
112 |
"step": 130
|
113 |
},
|
114 |
{
|
115 |
-
"epoch": 1.
|
116 |
-
"
|
117 |
-
"
|
118 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
119 |
"step": 140
|
120 |
},
|
121 |
{
|
122 |
-
"epoch":
|
123 |
-
"grad_norm":
|
124 |
-
"learning_rate": 4.
|
125 |
-
"loss": 1.
|
126 |
"step": 150
|
127 |
},
|
128 |
{
|
129 |
-
"epoch":
|
130 |
-
"grad_norm":
|
131 |
-
"learning_rate": 4.
|
132 |
-
"loss": 1.
|
133 |
"step": 160
|
134 |
},
|
135 |
{
|
136 |
-
"epoch":
|
137 |
-
"grad_norm": 7.
|
138 |
-
"learning_rate": 4.
|
139 |
-
"loss": 1.
|
140 |
"step": 170
|
141 |
},
|
142 |
{
|
143 |
-
"epoch":
|
144 |
-
"grad_norm":
|
145 |
-
"learning_rate": 4.
|
146 |
-
"loss": 1.
|
147 |
"step": 180
|
148 |
},
|
149 |
{
|
150 |
-
"epoch":
|
151 |
-
"grad_norm":
|
152 |
-
"learning_rate": 4.
|
153 |
-
"loss": 1.
|
154 |
"step": 190
|
155 |
},
|
156 |
{
|
157 |
-
"epoch":
|
158 |
-
"grad_norm":
|
159 |
-
"learning_rate": 4.
|
160 |
-
"loss": 1.
|
161 |
"step": 200
|
162 |
},
|
163 |
{
|
164 |
-
"epoch": 2.
|
165 |
-
"eval_accuracy": 0.
|
166 |
-
"eval_f1": 0.
|
167 |
-
"eval_loss": 1.
|
168 |
-
"eval_precision": 0.
|
169 |
-
"eval_recall": 0.
|
170 |
-
"eval_runtime": 10.
|
171 |
-
"eval_samples_per_second": 103.
|
172 |
-
"eval_steps_per_second": 6.
|
173 |
-
"step":
|
174 |
},
|
175 |
{
|
176 |
-
"epoch":
|
177 |
-
"grad_norm":
|
178 |
-
"learning_rate": 4.
|
179 |
-
"loss": 1.
|
180 |
"step": 210
|
181 |
},
|
182 |
{
|
183 |
-
"epoch":
|
184 |
-
"grad_norm":
|
185 |
-
"learning_rate": 4.
|
186 |
-
"loss": 1.
|
187 |
"step": 220
|
188 |
},
|
189 |
{
|
190 |
-
"epoch":
|
191 |
-
"grad_norm":
|
192 |
-
"learning_rate":
|
193 |
-
"loss": 1.
|
194 |
"step": 230
|
195 |
},
|
196 |
{
|
197 |
-
"epoch":
|
198 |
-
"grad_norm":
|
199 |
-
"learning_rate":
|
200 |
-
"loss": 1.
|
201 |
"step": 240
|
202 |
},
|
203 |
{
|
204 |
-
"epoch":
|
205 |
-
"grad_norm":
|
206 |
-
"learning_rate":
|
207 |
-
"loss": 1.
|
208 |
"step": 250
|
209 |
},
|
210 |
{
|
211 |
-
"epoch":
|
212 |
-
"grad_norm":
|
213 |
-
"learning_rate":
|
214 |
-
"loss": 1.
|
215 |
"step": 260
|
216 |
},
|
217 |
{
|
218 |
-
"epoch":
|
219 |
-
"grad_norm":
|
220 |
-
"learning_rate":
|
221 |
-
"loss": 1.
|
222 |
"step": 270
|
223 |
},
|
224 |
{
|
225 |
-
"epoch":
|
226 |
-
"
|
227 |
-
"
|
228 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
229 |
"step": 280
|
230 |
},
|
231 |
{
|
232 |
-
"epoch":
|
233 |
-
"grad_norm":
|
234 |
-
"learning_rate":
|
235 |
-
"loss": 1.
|
236 |
"step": 290
|
237 |
},
|
238 |
{
|
239 |
-
"epoch":
|
240 |
-
"grad_norm": 7.
|
241 |
-
"learning_rate":
|
242 |
-
"loss": 1.
|
243 |
"step": 300
|
244 |
},
|
245 |
{
|
246 |
-
"epoch":
|
247 |
-
"
|
248 |
-
"
|
249 |
-
"
|
250 |
-
"eval_precision": 0.5588554246566038,
|
251 |
-
"eval_recall": 0.4830119375573921,
|
252 |
-
"eval_runtime": 10.5448,
|
253 |
-
"eval_samples_per_second": 103.274,
|
254 |
-
"eval_steps_per_second": 6.544,
|
255 |
-
"step": 307
|
256 |
-
},
|
257 |
-
{
|
258 |
-
"epoch": 3.024390243902439,
|
259 |
-
"grad_norm": 7.887587547302246,
|
260 |
-
"learning_rate": 4.159854677565849e-05,
|
261 |
-
"loss": 1.1419,
|
262 |
"step": 310
|
263 |
},
|
264 |
{
|
265 |
-
"epoch":
|
266 |
-
"grad_norm":
|
267 |
-
"learning_rate":
|
268 |
-
"loss": 1.
|
269 |
"step": 320
|
270 |
},
|
271 |
{
|
272 |
-
"epoch":
|
273 |
-
"grad_norm":
|
274 |
-
"learning_rate":
|
275 |
-
"loss": 1.
|
276 |
"step": 330
|
277 |
},
|
278 |
{
|
279 |
-
"epoch":
|
280 |
-
"grad_norm":
|
281 |
-
"learning_rate":
|
282 |
-
"loss": 1.
|
283 |
"step": 340
|
284 |
},
|
285 |
{
|
286 |
-
"epoch":
|
287 |
-
"
|
288 |
-
"
|
289 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
290 |
"step": 350
|
291 |
},
|
292 |
{
|
293 |
-
"epoch":
|
294 |
-
"grad_norm":
|
295 |
-
"learning_rate": 3.
|
296 |
-
"loss": 1.
|
297 |
"step": 360
|
298 |
},
|
299 |
{
|
300 |
-
"epoch":
|
301 |
-
"grad_norm": 7.
|
302 |
-
"learning_rate": 3.
|
303 |
-
"loss": 1.
|
304 |
"step": 370
|
305 |
},
|
306 |
{
|
307 |
-
"epoch":
|
308 |
-
"grad_norm":
|
309 |
-
"learning_rate":
|
310 |
-
"loss": 1.
|
311 |
"step": 380
|
312 |
},
|
313 |
{
|
314 |
-
"epoch":
|
315 |
-
"grad_norm": 8.
|
316 |
-
"learning_rate":
|
317 |
-
"loss": 1.
|
318 |
"step": 390
|
319 |
},
|
320 |
{
|
321 |
-
"epoch":
|
322 |
-
"grad_norm":
|
323 |
-
"learning_rate":
|
324 |
-
"loss": 1.
|
325 |
"step": 400
|
326 |
},
|
327 |
{
|
328 |
-
"epoch":
|
329 |
-
"
|
330 |
-
"
|
331 |
-
"
|
332 |
-
"
|
|
|
|
|
|
|
|
|
|
|
333 |
},
|
334 |
{
|
335 |
-
"epoch":
|
336 |
-
"
|
337 |
-
"
|
338 |
-
"
|
339 |
-
"eval_precision": 0.5357616363900534,
|
340 |
-
"eval_recall": 0.5619834710743802,
|
341 |
-
"eval_runtime": 10.5649,
|
342 |
-
"eval_samples_per_second": 103.077,
|
343 |
-
"eval_steps_per_second": 6.531,
|
344 |
"step": 410
|
345 |
},
|
346 |
{
|
347 |
-
"epoch":
|
348 |
-
"grad_norm":
|
349 |
-
"learning_rate":
|
350 |
-
"loss": 1.
|
351 |
"step": 420
|
352 |
},
|
353 |
{
|
354 |
-
"epoch":
|
355 |
-
"grad_norm":
|
356 |
-
"learning_rate":
|
357 |
-
"loss": 1.
|
358 |
"step": 430
|
359 |
},
|
360 |
{
|
361 |
-
"epoch":
|
362 |
-
"grad_norm":
|
363 |
-
"learning_rate":
|
364 |
-
"loss": 1.
|
365 |
"step": 440
|
366 |
},
|
367 |
{
|
368 |
-
"epoch":
|
369 |
-
"grad_norm":
|
370 |
-
"learning_rate":
|
371 |
-
"loss": 1.
|
372 |
"step": 450
|
373 |
},
|
374 |
{
|
375 |
-
"epoch":
|
376 |
-
"grad_norm":
|
377 |
-
"learning_rate":
|
378 |
-
"loss": 1.
|
379 |
"step": 460
|
380 |
},
|
381 |
{
|
382 |
-
"epoch":
|
383 |
-
"grad_norm":
|
384 |
-
"learning_rate":
|
385 |
-
"loss": 1.
|
386 |
"step": 470
|
387 |
},
|
388 |
{
|
389 |
-
"epoch":
|
390 |
-
"
|
391 |
-
"
|
392 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
393 |
"step": 480
|
394 |
},
|
395 |
{
|
396 |
-
"epoch":
|
397 |
-
"grad_norm":
|
398 |
-
"learning_rate":
|
399 |
-
"loss": 1.
|
400 |
"step": 490
|
401 |
},
|
402 |
{
|
403 |
-
"epoch":
|
404 |
-
"grad_norm": 8.
|
405 |
-
"learning_rate":
|
406 |
-
"loss": 1.
|
407 |
"step": 500
|
408 |
},
|
409 |
{
|
410 |
-
"epoch":
|
411 |
-
"grad_norm":
|
412 |
-
"learning_rate":
|
413 |
-
"loss":
|
414 |
"step": 510
|
415 |
},
|
416 |
{
|
417 |
-
"epoch":
|
418 |
-
"
|
419 |
-
"
|
420 |
-
"
|
421 |
-
"eval_precision": 0.5719778943634586,
|
422 |
-
"eval_recall": 0.5344352617079889,
|
423 |
-
"eval_runtime": 10.4912,
|
424 |
-
"eval_samples_per_second": 103.801,
|
425 |
-
"eval_steps_per_second": 6.577,
|
426 |
-
"step": 512
|
427 |
-
},
|
428 |
-
{
|
429 |
-
"epoch": 5.073170731707317,
|
430 |
-
"grad_norm": 6.753456115722656,
|
431 |
-
"learning_rate": 3.206176203451408e-05,
|
432 |
-
"loss": 1.0425,
|
433 |
"step": 520
|
434 |
},
|
435 |
{
|
436 |
-
"epoch":
|
437 |
-
"grad_norm":
|
438 |
-
"learning_rate":
|
439 |
-
"loss": 1.
|
440 |
"step": 530
|
441 |
},
|
442 |
{
|
443 |
-
"epoch":
|
444 |
-
"grad_norm":
|
445 |
-
"learning_rate":
|
446 |
-
"loss": 1.
|
447 |
"step": 540
|
448 |
},
|
449 |
{
|
450 |
-
"epoch":
|
451 |
-
"
|
452 |
-
"
|
453 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
454 |
"step": 550
|
455 |
},
|
456 |
{
|
457 |
-
"epoch":
|
458 |
-
"grad_norm":
|
459 |
-
"learning_rate":
|
460 |
-
"loss": 1.
|
461 |
"step": 560
|
462 |
},
|
463 |
{
|
464 |
-
"epoch":
|
465 |
-
"grad_norm":
|
466 |
-
"learning_rate":
|
467 |
-
"loss":
|
468 |
"step": 570
|
469 |
},
|
470 |
{
|
471 |
-
"epoch":
|
472 |
-
"grad_norm": 10.
|
473 |
-
"learning_rate":
|
474 |
-
"loss":
|
475 |
"step": 580
|
476 |
},
|
477 |
{
|
478 |
-
"epoch":
|
479 |
-
"grad_norm":
|
480 |
-
"learning_rate":
|
481 |
-
"loss": 1.
|
482 |
"step": 590
|
483 |
},
|
484 |
{
|
485 |
-
"epoch":
|
486 |
-
"grad_norm":
|
487 |
-
"learning_rate":
|
488 |
-
"loss": 1.
|
489 |
"step": 600
|
490 |
},
|
491 |
{
|
492 |
-
"epoch":
|
493 |
-
"grad_norm":
|
494 |
-
"learning_rate":
|
495 |
-
"loss": 1.
|
496 |
"step": 610
|
497 |
},
|
498 |
{
|
499 |
-
"epoch":
|
500 |
-
"eval_accuracy": 0.
|
501 |
-
"eval_f1": 0.
|
502 |
-
"eval_loss": 0.
|
503 |
-
"eval_precision": 0.
|
504 |
-
"eval_recall": 0.
|
505 |
-
"eval_runtime": 10.
|
506 |
-
"eval_samples_per_second": 103.
|
507 |
-
"eval_steps_per_second": 6.
|
508 |
-
"step":
|
509 |
},
|
510 |
{
|
511 |
-
"epoch":
|
512 |
-
"grad_norm":
|
513 |
-
"learning_rate":
|
514 |
-
"loss": 0.
|
515 |
"step": 620
|
516 |
},
|
517 |
{
|
518 |
-
"epoch":
|
519 |
-
"grad_norm":
|
520 |
-
"learning_rate":
|
521 |
-
"loss": 1.
|
522 |
"step": 630
|
523 |
},
|
524 |
{
|
525 |
-
"epoch":
|
526 |
-
"grad_norm":
|
527 |
-
"learning_rate":
|
528 |
-
"loss":
|
529 |
"step": 640
|
530 |
},
|
531 |
{
|
532 |
-
"epoch":
|
533 |
-
"grad_norm":
|
534 |
-
"learning_rate":
|
535 |
-
"loss":
|
536 |
"step": 650
|
537 |
},
|
538 |
{
|
539 |
-
"epoch":
|
540 |
-
"grad_norm":
|
541 |
-
"learning_rate":
|
542 |
-
"loss":
|
543 |
"step": 660
|
544 |
},
|
545 |
{
|
546 |
-
"epoch":
|
547 |
-
"grad_norm":
|
548 |
-
"learning_rate":
|
549 |
-
"loss":
|
550 |
"step": 670
|
551 |
},
|
552 |
{
|
553 |
-
"epoch":
|
554 |
-
"grad_norm": 10.
|
555 |
-
"learning_rate":
|
556 |
-
"loss": 0.
|
557 |
"step": 680
|
558 |
},
|
559 |
{
|
560 |
-
"epoch":
|
561 |
-
"
|
562 |
-
"
|
563 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
564 |
"step": 690
|
565 |
},
|
566 |
{
|
567 |
-
"epoch":
|
568 |
-
"grad_norm":
|
569 |
-
"learning_rate":
|
570 |
-
"loss":
|
571 |
"step": 700
|
572 |
},
|
573 |
{
|
574 |
-
"epoch":
|
575 |
-
"grad_norm": 11.
|
576 |
-
"learning_rate":
|
577 |
-
"loss":
|
578 |
"step": 710
|
579 |
},
|
580 |
{
|
581 |
-
"epoch":
|
582 |
-
"
|
583 |
-
"
|
584 |
-
"
|
585 |
-
"eval_precision": 0.5624792636698613,
|
586 |
-
"eval_recall": 0.559228650137741,
|
587 |
-
"eval_runtime": 10.478,
|
588 |
-
"eval_samples_per_second": 103.932,
|
589 |
-
"eval_steps_per_second": 6.585,
|
590 |
-
"step": 717
|
591 |
-
},
|
592 |
-
{
|
593 |
-
"epoch": 7.024390243902439,
|
594 |
-
"grad_norm": 7.640585899353027,
|
595 |
-
"learning_rate": 2.297910990009083e-05,
|
596 |
-
"loss": 1.0333,
|
597 |
"step": 720
|
598 |
},
|
599 |
{
|
600 |
-
"epoch":
|
601 |
-
"grad_norm": 10.
|
602 |
-
"learning_rate":
|
603 |
-
"loss": 0.
|
604 |
"step": 730
|
605 |
},
|
606 |
{
|
607 |
-
"epoch":
|
608 |
-
"grad_norm":
|
609 |
-
"learning_rate":
|
610 |
-
"loss": 0.
|
611 |
"step": 740
|
612 |
},
|
613 |
{
|
614 |
-
"epoch":
|
615 |
-
"grad_norm":
|
616 |
-
"learning_rate":
|
617 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
618 |
"step": 750
|
619 |
},
|
620 |
{
|
621 |
-
"epoch":
|
622 |
-
"grad_norm":
|
623 |
-
"learning_rate":
|
624 |
-
"loss": 0.
|
625 |
"step": 760
|
626 |
},
|
627 |
{
|
628 |
-
"epoch":
|
629 |
-
"grad_norm":
|
630 |
-
"learning_rate":
|
631 |
-
"loss": 0.
|
632 |
"step": 770
|
633 |
},
|
634 |
{
|
635 |
-
"epoch":
|
636 |
-
"grad_norm":
|
637 |
-
"learning_rate": 2.
|
638 |
-
"loss": 0.
|
639 |
"step": 780
|
640 |
},
|
641 |
{
|
642 |
-
"epoch":
|
643 |
-
"grad_norm":
|
644 |
-
"learning_rate": 1.
|
645 |
-
"loss": 0.
|
646 |
"step": 790
|
647 |
},
|
648 |
{
|
649 |
-
"epoch":
|
650 |
-
"grad_norm":
|
651 |
-
"learning_rate": 1.
|
652 |
-
"loss": 0.
|
653 |
"step": 800
|
654 |
},
|
655 |
{
|
656 |
-
"epoch":
|
657 |
-
"grad_norm": 8.
|
658 |
-
"learning_rate":
|
659 |
-
"loss": 0.
|
660 |
"step": 810
|
661 |
},
|
662 |
{
|
663 |
-
"epoch":
|
664 |
-
"
|
665 |
-
"
|
666 |
-
"
|
667 |
-
"
|
668 |
-
|
669 |
-
|
670 |
-
"
|
671 |
-
"
|
672 |
-
"
|
673 |
-
|
674 |
-
|
675 |
-
"
|
676 |
-
"
|
677 |
-
"
|
678 |
-
"
|
679 |
-
"
|
680 |
-
|
681 |
-
|
682 |
-
"epoch": 8.097560975609756,
|
683 |
-
"grad_norm": 8.30269718170166,
|
684 |
-
"learning_rate": 1.798365122615804e-05,
|
685 |
-
"loss": 0.9005,
|
686 |
-
"step": 830
|
687 |
-
},
|
688 |
-
{
|
689 |
-
"epoch": 8.195121951219512,
|
690 |
-
"grad_norm": 10.962409973144531,
|
691 |
-
"learning_rate": 1.7529518619436876e-05,
|
692 |
-
"loss": 0.9167,
|
693 |
-
"step": 840
|
694 |
-
},
|
695 |
-
{
|
696 |
-
"epoch": 8.292682926829269,
|
697 |
-
"grad_norm": 8.846582412719727,
|
698 |
-
"learning_rate": 1.7075386012715714e-05,
|
699 |
-
"loss": 0.9393,
|
700 |
-
"step": 850
|
701 |
-
},
|
702 |
-
{
|
703 |
-
"epoch": 8.390243902439025,
|
704 |
-
"grad_norm": 10.282524108886719,
|
705 |
-
"learning_rate": 1.662125340599455e-05,
|
706 |
-
"loss": 0.9473,
|
707 |
-
"step": 860
|
708 |
-
},
|
709 |
-
{
|
710 |
-
"epoch": 8.487804878048781,
|
711 |
-
"grad_norm": 11.323814392089844,
|
712 |
-
"learning_rate": 1.616712079927339e-05,
|
713 |
-
"loss": 0.8695,
|
714 |
-
"step": 870
|
715 |
-
},
|
716 |
-
{
|
717 |
-
"epoch": 8.585365853658537,
|
718 |
-
"grad_norm": 10.95213794708252,
|
719 |
-
"learning_rate": 1.5712988192552226e-05,
|
720 |
-
"loss": 0.9257,
|
721 |
-
"step": 880
|
722 |
-
},
|
723 |
-
{
|
724 |
-
"epoch": 8.682926829268293,
|
725 |
-
"grad_norm": 11.248684883117676,
|
726 |
-
"learning_rate": 1.5258855585831064e-05,
|
727 |
-
"loss": 0.8916,
|
728 |
-
"step": 890
|
729 |
-
},
|
730 |
-
{
|
731 |
-
"epoch": 8.78048780487805,
|
732 |
-
"grad_norm": 10.221022605895996,
|
733 |
-
"learning_rate": 1.48047229791099e-05,
|
734 |
-
"loss": 0.8961,
|
735 |
-
"step": 900
|
736 |
-
},
|
737 |
-
{
|
738 |
-
"epoch": 8.878048780487806,
|
739 |
-
"grad_norm": 8.226391792297363,
|
740 |
-
"learning_rate": 1.4350590372388739e-05,
|
741 |
-
"loss": 0.8783,
|
742 |
-
"step": 910
|
743 |
-
},
|
744 |
-
{
|
745 |
-
"epoch": 8.975609756097562,
|
746 |
-
"grad_norm": 9.135197639465332,
|
747 |
-
"learning_rate": 1.3896457765667576e-05,
|
748 |
-
"loss": 0.8856,
|
749 |
-
"step": 920
|
750 |
-
},
|
751 |
-
{
|
752 |
-
"epoch": 8.995121951219513,
|
753 |
-
"eval_accuracy": 0.5564738292011019,
|
754 |
-
"eval_f1": 0.556882933826955,
|
755 |
-
"eval_loss": 1.0059682130813599,
|
756 |
-
"eval_precision": 0.5592586252036796,
|
757 |
-
"eval_recall": 0.5564738292011019,
|
758 |
-
"eval_runtime": 10.5466,
|
759 |
-
"eval_samples_per_second": 103.256,
|
760 |
-
"eval_steps_per_second": 6.542,
|
761 |
-
"step": 922
|
762 |
-
},
|
763 |
-
{
|
764 |
-
"epoch": 9.073170731707316,
|
765 |
-
"grad_norm": 11.500414848327637,
|
766 |
-
"learning_rate": 1.3442325158946412e-05,
|
767 |
-
"loss": 0.8476,
|
768 |
-
"step": 930
|
769 |
-
},
|
770 |
-
{
|
771 |
-
"epoch": 9.170731707317072,
|
772 |
-
"grad_norm": 11.68885612487793,
|
773 |
-
"learning_rate": 1.2988192552225251e-05,
|
774 |
-
"loss": 0.869,
|
775 |
-
"step": 940
|
776 |
-
},
|
777 |
-
{
|
778 |
-
"epoch": 9.268292682926829,
|
779 |
-
"grad_norm": 9.877538681030273,
|
780 |
-
"learning_rate": 1.2534059945504087e-05,
|
781 |
-
"loss": 0.8572,
|
782 |
-
"step": 950
|
783 |
-
},
|
784 |
-
{
|
785 |
-
"epoch": 9.365853658536585,
|
786 |
-
"grad_norm": 11.605177879333496,
|
787 |
-
"learning_rate": 1.2079927338782924e-05,
|
788 |
-
"loss": 0.8434,
|
789 |
-
"step": 960
|
790 |
-
},
|
791 |
-
{
|
792 |
-
"epoch": 9.463414634146341,
|
793 |
-
"grad_norm": 10.330570220947266,
|
794 |
-
"learning_rate": 1.1625794732061762e-05,
|
795 |
-
"loss": 0.894,
|
796 |
-
"step": 970
|
797 |
-
},
|
798 |
-
{
|
799 |
-
"epoch": 9.560975609756097,
|
800 |
-
"grad_norm": 9.849478721618652,
|
801 |
-
"learning_rate": 1.11716621253406e-05,
|
802 |
-
"loss": 0.894,
|
803 |
-
"step": 980
|
804 |
-
},
|
805 |
-
{
|
806 |
-
"epoch": 9.658536585365853,
|
807 |
-
"grad_norm": 9.98214340209961,
|
808 |
-
"learning_rate": 1.0717529518619437e-05,
|
809 |
-
"loss": 0.8652,
|
810 |
-
"step": 990
|
811 |
-
},
|
812 |
-
{
|
813 |
-
"epoch": 9.75609756097561,
|
814 |
-
"grad_norm": 9.999092102050781,
|
815 |
-
"learning_rate": 1.0263396911898274e-05,
|
816 |
-
"loss": 0.8855,
|
817 |
-
"step": 1000
|
818 |
-
},
|
819 |
-
{
|
820 |
-
"epoch": 9.853658536585366,
|
821 |
-
"grad_norm": 10.021332740783691,
|
822 |
-
"learning_rate": 9.809264305177112e-06,
|
823 |
-
"loss": 0.8754,
|
824 |
-
"step": 1010
|
825 |
-
},
|
826 |
-
{
|
827 |
-
"epoch": 9.951219512195122,
|
828 |
-
"grad_norm": 10.624610900878906,
|
829 |
-
"learning_rate": 9.35513169845595e-06,
|
830 |
-
"loss": 0.8306,
|
831 |
-
"step": 1020
|
832 |
-
},
|
833 |
-
{
|
834 |
-
"epoch": 10.0,
|
835 |
-
"eval_accuracy": 0.566574839302112,
|
836 |
-
"eval_f1": 0.5574087205222212,
|
837 |
-
"eval_loss": 0.9907031655311584,
|
838 |
-
"eval_precision": 0.5531200477134914,
|
839 |
-
"eval_recall": 0.566574839302112,
|
840 |
-
"eval_runtime": 10.5011,
|
841 |
-
"eval_samples_per_second": 103.703,
|
842 |
-
"eval_steps_per_second": 6.571,
|
843 |
-
"step": 1025
|
844 |
-
},
|
845 |
-
{
|
846 |
-
"epoch": 10.048780487804878,
|
847 |
-
"grad_norm": 9.162467956542969,
|
848 |
-
"learning_rate": 8.900999091734787e-06,
|
849 |
-
"loss": 0.8177,
|
850 |
-
"step": 1030
|
851 |
-
},
|
852 |
-
{
|
853 |
-
"epoch": 10.146341463414634,
|
854 |
-
"grad_norm": 9.493200302124023,
|
855 |
-
"learning_rate": 8.446866485013624e-06,
|
856 |
-
"loss": 0.7632,
|
857 |
-
"step": 1040
|
858 |
-
},
|
859 |
-
{
|
860 |
-
"epoch": 10.24390243902439,
|
861 |
-
"grad_norm": 9.642596244812012,
|
862 |
-
"learning_rate": 7.992733878292462e-06,
|
863 |
-
"loss": 0.7732,
|
864 |
-
"step": 1050
|
865 |
-
},
|
866 |
-
{
|
867 |
-
"epoch": 10.341463414634147,
|
868 |
-
"grad_norm": 11.928635597229004,
|
869 |
-
"learning_rate": 7.538601271571299e-06,
|
870 |
-
"loss": 0.7979,
|
871 |
-
"step": 1060
|
872 |
-
},
|
873 |
-
{
|
874 |
-
"epoch": 10.439024390243903,
|
875 |
-
"grad_norm": 9.884861946105957,
|
876 |
-
"learning_rate": 7.084468664850137e-06,
|
877 |
-
"loss": 0.834,
|
878 |
-
"step": 1070
|
879 |
-
},
|
880 |
-
{
|
881 |
-
"epoch": 10.536585365853659,
|
882 |
-
"grad_norm": 10.674219131469727,
|
883 |
-
"learning_rate": 6.6303360581289735e-06,
|
884 |
-
"loss": 0.83,
|
885 |
-
"step": 1080
|
886 |
-
},
|
887 |
-
{
|
888 |
-
"epoch": 10.634146341463415,
|
889 |
-
"grad_norm": 11.04780387878418,
|
890 |
-
"learning_rate": 6.176203451407812e-06,
|
891 |
-
"loss": 0.8157,
|
892 |
-
"step": 1090
|
893 |
-
},
|
894 |
-
{
|
895 |
-
"epoch": 10.731707317073171,
|
896 |
-
"grad_norm": 11.664216995239258,
|
897 |
-
"learning_rate": 5.7220708446866485e-06,
|
898 |
-
"loss": 0.8041,
|
899 |
-
"step": 1100
|
900 |
-
},
|
901 |
-
{
|
902 |
-
"epoch": 10.829268292682928,
|
903 |
-
"grad_norm": 11.164298057556152,
|
904 |
-
"learning_rate": 5.267938237965486e-06,
|
905 |
-
"loss": 0.7685,
|
906 |
-
"step": 1110
|
907 |
-
},
|
908 |
-
{
|
909 |
-
"epoch": 10.926829268292684,
|
910 |
-
"grad_norm": 11.851963996887207,
|
911 |
-
"learning_rate": 4.813805631244324e-06,
|
912 |
-
"loss": 0.8458,
|
913 |
-
"step": 1120
|
914 |
-
},
|
915 |
-
{
|
916 |
-
"epoch": 10.995121951219513,
|
917 |
-
"eval_accuracy": 0.5500459136822773,
|
918 |
-
"eval_f1": 0.5489227474870219,
|
919 |
-
"eval_loss": 1.0134857892990112,
|
920 |
-
"eval_precision": 0.5505838083040273,
|
921 |
-
"eval_recall": 0.5500459136822773,
|
922 |
-
"eval_runtime": 10.4709,
|
923 |
-
"eval_samples_per_second": 104.003,
|
924 |
-
"eval_steps_per_second": 6.59,
|
925 |
-
"step": 1127
|
926 |
-
},
|
927 |
-
{
|
928 |
-
"epoch": 11.024390243902438,
|
929 |
-
"grad_norm": 9.90632438659668,
|
930 |
-
"learning_rate": 4.359673024523161e-06,
|
931 |
-
"loss": 0.7881,
|
932 |
-
"step": 1130
|
933 |
-
},
|
934 |
-
{
|
935 |
-
"epoch": 11.121951219512194,
|
936 |
-
"grad_norm": 11.564204216003418,
|
937 |
-
"learning_rate": 3.9055404178019984e-06,
|
938 |
-
"loss": 0.7449,
|
939 |
-
"step": 1140
|
940 |
-
},
|
941 |
-
{
|
942 |
-
"epoch": 11.21951219512195,
|
943 |
-
"grad_norm": 10.323161125183105,
|
944 |
-
"learning_rate": 3.451407811080836e-06,
|
945 |
-
"loss": 0.7865,
|
946 |
-
"step": 1150
|
947 |
-
},
|
948 |
-
{
|
949 |
-
"epoch": 11.317073170731707,
|
950 |
-
"grad_norm": 11.201330184936523,
|
951 |
-
"learning_rate": 2.997275204359673e-06,
|
952 |
-
"loss": 0.781,
|
953 |
-
"step": 1160
|
954 |
-
},
|
955 |
-
{
|
956 |
-
"epoch": 11.414634146341463,
|
957 |
-
"grad_norm": 9.596723556518555,
|
958 |
-
"learning_rate": 2.5431425976385105e-06,
|
959 |
-
"loss": 0.7847,
|
960 |
-
"step": 1170
|
961 |
-
},
|
962 |
-
{
|
963 |
-
"epoch": 11.512195121951219,
|
964 |
-
"grad_norm": 10.385799407958984,
|
965 |
-
"learning_rate": 2.089009990917348e-06,
|
966 |
-
"loss": 0.8139,
|
967 |
-
"step": 1180
|
968 |
-
},
|
969 |
-
{
|
970 |
-
"epoch": 11.609756097560975,
|
971 |
-
"grad_norm": 12.413230895996094,
|
972 |
-
"learning_rate": 1.6348773841961852e-06,
|
973 |
-
"loss": 0.7824,
|
974 |
-
"step": 1190
|
975 |
-
},
|
976 |
-
{
|
977 |
-
"epoch": 11.707317073170731,
|
978 |
-
"grad_norm": 10.438215255737305,
|
979 |
-
"learning_rate": 1.1807447774750227e-06,
|
980 |
-
"loss": 0.7464,
|
981 |
-
"step": 1200
|
982 |
-
},
|
983 |
-
{
|
984 |
-
"epoch": 11.804878048780488,
|
985 |
-
"grad_norm": 10.087923049926758,
|
986 |
-
"learning_rate": 7.266121707538601e-07,
|
987 |
-
"loss": 0.8032,
|
988 |
-
"step": 1210
|
989 |
-
},
|
990 |
-
{
|
991 |
-
"epoch": 11.902439024390244,
|
992 |
-
"grad_norm": 10.667466163635254,
|
993 |
-
"learning_rate": 2.7247956403269756e-07,
|
994 |
-
"loss": 0.815,
|
995 |
-
"step": 1220
|
996 |
-
},
|
997 |
-
{
|
998 |
-
"epoch": 11.941463414634146,
|
999 |
-
"eval_accuracy": 0.549127640036731,
|
1000 |
-
"eval_f1": 0.5520258447427934,
|
1001 |
-
"eval_loss": 1.0185083150863647,
|
1002 |
-
"eval_precision": 0.5558049078671707,
|
1003 |
-
"eval_recall": 0.549127640036731,
|
1004 |
-
"eval_runtime": 10.5534,
|
1005 |
-
"eval_samples_per_second": 103.19,
|
1006 |
-
"eval_steps_per_second": 6.538,
|
1007 |
-
"step": 1224
|
1008 |
-
},
|
1009 |
-
{
|
1010 |
-
"epoch": 11.941463414634146,
|
1011 |
-
"step": 1224,
|
1012 |
-
"total_flos": 6.197635483154842e+18,
|
1013 |
-
"train_loss": 1.0363535090209612,
|
1014 |
-
"train_runtime": 3088.0708,
|
1015 |
-
"train_samples_per_second": 25.461,
|
1016 |
-
"train_steps_per_second": 0.396
|
1017 |
}
|
1018 |
],
|
1019 |
"logging_steps": 10,
|
1020 |
-
"max_steps":
|
1021 |
"num_input_tokens_seen": 0,
|
1022 |
"num_train_epochs": 12,
|
1023 |
"save_steps": 500,
|
@@ -1033,7 +746,7 @@
|
|
1033 |
"attributes": {}
|
1034 |
}
|
1035 |
},
|
1036 |
-
"total_flos":
|
1037 |
"train_batch_size": 16,
|
1038 |
"trial_name": null,
|
1039 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.5932047750229569,
|
3 |
+
"best_model_checkpoint": "convnextv2-base-22k-224-finetuned-tekno24/checkpoint-614",
|
4 |
+
"epoch": 11.956043956043956,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 816,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.14652014652014653,
|
13 |
+
"grad_norm": 16.747648239135742,
|
14 |
+
"learning_rate": 6.0975609756097564e-06,
|
15 |
+
"loss": 1.4185,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.29304029304029305,
|
20 |
+
"grad_norm": 14.544577598571777,
|
21 |
+
"learning_rate": 1.2195121951219513e-05,
|
22 |
+
"loss": 1.4153,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.43956043956043955,
|
27 |
+
"grad_norm": 12.55716323852539,
|
28 |
+
"learning_rate": 1.8292682926829268e-05,
|
29 |
+
"loss": 1.3581,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.5860805860805861,
|
34 |
+
"grad_norm": 16.329694747924805,
|
35 |
+
"learning_rate": 2.378048780487805e-05,
|
36 |
+
"loss": 1.3421,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.7326007326007326,
|
41 |
+
"grad_norm": 9.924437522888184,
|
42 |
+
"learning_rate": 2.9878048780487805e-05,
|
43 |
+
"loss": 1.3174,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.8791208791208791,
|
48 |
+
"grad_norm": 8.243997573852539,
|
49 |
+
"learning_rate": 3.597560975609756e-05,
|
50 |
+
"loss": 1.2755,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.9963369963369964,
|
55 |
+
"eval_accuracy": 0.4903581267217631,
|
56 |
+
"eval_f1": 0.39101576597192117,
|
57 |
+
"eval_loss": 1.2008219957351685,
|
58 |
+
"eval_precision": 0.45771669331368264,
|
59 |
+
"eval_recall": 0.4903581267217631,
|
60 |
+
"eval_runtime": 10.5546,
|
61 |
+
"eval_samples_per_second": 103.178,
|
62 |
+
"eval_steps_per_second": 6.537,
|
63 |
+
"step": 68
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 1.0256410256410255,
|
67 |
+
"grad_norm": 13.558063507080078,
|
68 |
+
"learning_rate": 4.207317073170732e-05,
|
69 |
+
"loss": 1.2711,
|
70 |
"step": 70
|
71 |
},
|
72 |
{
|
73 |
+
"epoch": 1.1721611721611722,
|
74 |
+
"grad_norm": 27.544034957885742,
|
75 |
+
"learning_rate": 4.817073170731707e-05,
|
76 |
+
"loss": 1.2731,
|
77 |
"step": 80
|
78 |
},
|
79 |
{
|
80 |
+
"epoch": 1.3186813186813187,
|
81 |
+
"grad_norm": 12.061452865600586,
|
82 |
+
"learning_rate": 4.952316076294278e-05,
|
83 |
+
"loss": 1.2582,
|
84 |
"step": 90
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 1.4652014652014653,
|
88 |
+
"grad_norm": 13.313647270202637,
|
89 |
+
"learning_rate": 4.884196185286104e-05,
|
90 |
+
"loss": 1.2729,
|
91 |
"step": 100
|
92 |
},
|
93 |
{
|
94 |
+
"epoch": 1.6117216117216118,
|
95 |
+
"grad_norm": 8.85893440246582,
|
96 |
+
"learning_rate": 4.816076294277929e-05,
|
97 |
+
"loss": 1.2093,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
98 |
"step": 110
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 1.7582417582417582,
|
102 |
+
"grad_norm": 7.619632244110107,
|
103 |
+
"learning_rate": 4.747956403269755e-05,
|
104 |
+
"loss": 1.2445,
|
105 |
"step": 120
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 1.9047619047619047,
|
109 |
+
"grad_norm": 9.313189506530762,
|
110 |
+
"learning_rate": 4.6798365122615805e-05,
|
111 |
+
"loss": 1.1711,
|
112 |
"step": 130
|
113 |
},
|
114 |
{
|
115 |
+
"epoch": 1.9926739926739927,
|
116 |
+
"eval_accuracy": 0.5353535353535354,
|
117 |
+
"eval_f1": 0.47656758341858724,
|
118 |
+
"eval_loss": 1.0650511980056763,
|
119 |
+
"eval_precision": 0.48653241546321574,
|
120 |
+
"eval_recall": 0.5353535353535354,
|
121 |
+
"eval_runtime": 10.5232,
|
122 |
+
"eval_samples_per_second": 103.486,
|
123 |
+
"eval_steps_per_second": 6.557,
|
124 |
+
"step": 136
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 2.051282051282051,
|
128 |
+
"grad_norm": 9.400361061096191,
|
129 |
+
"learning_rate": 4.6117166212534065e-05,
|
130 |
+
"loss": 1.1145,
|
131 |
"step": 140
|
132 |
},
|
133 |
{
|
134 |
+
"epoch": 2.197802197802198,
|
135 |
+
"grad_norm": 5.284915924072266,
|
136 |
+
"learning_rate": 4.543596730245232e-05,
|
137 |
+
"loss": 1.1809,
|
138 |
"step": 150
|
139 |
},
|
140 |
{
|
141 |
+
"epoch": 2.3443223443223444,
|
142 |
+
"grad_norm": 10.18017292022705,
|
143 |
+
"learning_rate": 4.475476839237057e-05,
|
144 |
+
"loss": 1.1668,
|
145 |
"step": 160
|
146 |
},
|
147 |
{
|
148 |
+
"epoch": 2.490842490842491,
|
149 |
+
"grad_norm": 7.79976224899292,
|
150 |
+
"learning_rate": 4.407356948228883e-05,
|
151 |
+
"loss": 1.1582,
|
152 |
"step": 170
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 2.6373626373626373,
|
156 |
+
"grad_norm": 8.457806587219238,
|
157 |
+
"learning_rate": 4.339237057220708e-05,
|
158 |
+
"loss": 1.1628,
|
159 |
"step": 180
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 2.7838827838827838,
|
163 |
+
"grad_norm": 6.220970630645752,
|
164 |
+
"learning_rate": 4.271117166212534e-05,
|
165 |
+
"loss": 1.2035,
|
166 |
"step": 190
|
167 |
},
|
168 |
{
|
169 |
+
"epoch": 2.9304029304029307,
|
170 |
+
"grad_norm": 7.159059524536133,
|
171 |
+
"learning_rate": 4.20299727520436e-05,
|
172 |
+
"loss": 1.1599,
|
173 |
"step": 200
|
174 |
},
|
175 |
{
|
176 |
+
"epoch": 2.989010989010989,
|
177 |
+
"eval_accuracy": 0.54178145087236,
|
178 |
+
"eval_f1": 0.5077316365087595,
|
179 |
+
"eval_loss": 1.0533095598220825,
|
180 |
+
"eval_precision": 0.5274645952658832,
|
181 |
+
"eval_recall": 0.54178145087236,
|
182 |
+
"eval_runtime": 10.5408,
|
183 |
+
"eval_samples_per_second": 103.313,
|
184 |
+
"eval_steps_per_second": 6.546,
|
185 |
+
"step": 204
|
186 |
},
|
187 |
{
|
188 |
+
"epoch": 3.076923076923077,
|
189 |
+
"grad_norm": 5.542409896850586,
|
190 |
+
"learning_rate": 4.1348773841961855e-05,
|
191 |
+
"loss": 1.1692,
|
192 |
"step": 210
|
193 |
},
|
194 |
{
|
195 |
+
"epoch": 3.2234432234432235,
|
196 |
+
"grad_norm": 7.356290340423584,
|
197 |
+
"learning_rate": 4.066757493188011e-05,
|
198 |
+
"loss": 1.1176,
|
199 |
"step": 220
|
200 |
},
|
201 |
{
|
202 |
+
"epoch": 3.36996336996337,
|
203 |
+
"grad_norm": 6.849288463592529,
|
204 |
+
"learning_rate": 3.998637602179837e-05,
|
205 |
+
"loss": 1.1335,
|
206 |
"step": 230
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 3.5164835164835164,
|
210 |
+
"grad_norm": 11.968345642089844,
|
211 |
+
"learning_rate": 3.930517711171662e-05,
|
212 |
+
"loss": 1.14,
|
213 |
"step": 240
|
214 |
},
|
215 |
{
|
216 |
+
"epoch": 3.663003663003663,
|
217 |
+
"grad_norm": 8.681733131408691,
|
218 |
+
"learning_rate": 3.862397820163488e-05,
|
219 |
+
"loss": 1.1195,
|
220 |
"step": 250
|
221 |
},
|
222 |
{
|
223 |
+
"epoch": 3.8095238095238093,
|
224 |
+
"grad_norm": 8.258611679077148,
|
225 |
+
"learning_rate": 3.794277929155314e-05,
|
226 |
+
"loss": 1.1578,
|
227 |
"step": 260
|
228 |
},
|
229 |
{
|
230 |
+
"epoch": 3.956043956043956,
|
231 |
+
"grad_norm": 9.197736740112305,
|
232 |
+
"learning_rate": 3.726158038147139e-05,
|
233 |
+
"loss": 1.1595,
|
234 |
"step": 270
|
235 |
},
|
236 |
{
|
237 |
+
"epoch": 4.0,
|
238 |
+
"eval_accuracy": 0.5454545454545454,
|
239 |
+
"eval_f1": 0.5413509466694156,
|
240 |
+
"eval_loss": 1.0423349142074585,
|
241 |
+
"eval_precision": 0.5690587889084956,
|
242 |
+
"eval_recall": 0.5454545454545454,
|
243 |
+
"eval_runtime": 10.5435,
|
244 |
+
"eval_samples_per_second": 103.286,
|
245 |
+
"eval_steps_per_second": 6.544,
|
246 |
+
"step": 273
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 4.102564102564102,
|
250 |
+
"grad_norm": 7.987867832183838,
|
251 |
+
"learning_rate": 3.6580381471389645e-05,
|
252 |
+
"loss": 1.0988,
|
253 |
"step": 280
|
254 |
},
|
255 |
{
|
256 |
+
"epoch": 4.249084249084249,
|
257 |
+
"grad_norm": 6.383251667022705,
|
258 |
+
"learning_rate": 3.5899182561307905e-05,
|
259 |
+
"loss": 1.1338,
|
260 |
"step": 290
|
261 |
},
|
262 |
{
|
263 |
+
"epoch": 4.395604395604396,
|
264 |
+
"grad_norm": 7.749887943267822,
|
265 |
+
"learning_rate": 3.521798365122616e-05,
|
266 |
+
"loss": 1.1635,
|
267 |
"step": 300
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 4.542124542124542,
|
271 |
+
"grad_norm": 9.830282211303711,
|
272 |
+
"learning_rate": 3.453678474114442e-05,
|
273 |
+
"loss": 1.0912,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
274 |
"step": 310
|
275 |
},
|
276 |
{
|
277 |
+
"epoch": 4.688644688644689,
|
278 |
+
"grad_norm": 9.785733222961426,
|
279 |
+
"learning_rate": 3.385558583106267e-05,
|
280 |
+
"loss": 1.1293,
|
281 |
"step": 320
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 4.835164835164835,
|
285 |
+
"grad_norm": 9.794586181640625,
|
286 |
+
"learning_rate": 3.317438692098093e-05,
|
287 |
+
"loss": 1.0867,
|
288 |
"step": 330
|
289 |
},
|
290 |
{
|
291 |
+
"epoch": 4.981684981684982,
|
292 |
+
"grad_norm": 5.60059928894043,
|
293 |
+
"learning_rate": 3.249318801089918e-05,
|
294 |
+
"loss": 1.096,
|
295 |
"step": 340
|
296 |
},
|
297 |
{
|
298 |
+
"epoch": 4.996336996336996,
|
299 |
+
"eval_accuracy": 0.5610651974288338,
|
300 |
+
"eval_f1": 0.5462709659715219,
|
301 |
+
"eval_loss": 1.0159707069396973,
|
302 |
+
"eval_precision": 0.5419035604614381,
|
303 |
+
"eval_recall": 0.5610651974288338,
|
304 |
+
"eval_runtime": 10.5161,
|
305 |
+
"eval_samples_per_second": 103.556,
|
306 |
+
"eval_steps_per_second": 6.561,
|
307 |
+
"step": 341
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 5.128205128205128,
|
311 |
+
"grad_norm": 6.809742450714111,
|
312 |
+
"learning_rate": 3.181198910081744e-05,
|
313 |
+
"loss": 1.071,
|
314 |
"step": 350
|
315 |
},
|
316 |
{
|
317 |
+
"epoch": 5.274725274725275,
|
318 |
+
"grad_norm": 7.61679744720459,
|
319 |
+
"learning_rate": 3.1130790190735695e-05,
|
320 |
+
"loss": 1.1031,
|
321 |
"step": 360
|
322 |
},
|
323 |
{
|
324 |
+
"epoch": 5.4212454212454215,
|
325 |
+
"grad_norm": 7.127725601196289,
|
326 |
+
"learning_rate": 3.0449591280653955e-05,
|
327 |
+
"loss": 1.0971,
|
328 |
"step": 370
|
329 |
},
|
330 |
{
|
331 |
+
"epoch": 5.5677655677655675,
|
332 |
+
"grad_norm": 6.362829685211182,
|
333 |
+
"learning_rate": 2.9768392370572208e-05,
|
334 |
+
"loss": 1.1078,
|
335 |
"step": 380
|
336 |
},
|
337 |
{
|
338 |
+
"epoch": 5.714285714285714,
|
339 |
+
"grad_norm": 8.149834632873535,
|
340 |
+
"learning_rate": 2.9087193460490464e-05,
|
341 |
+
"loss": 1.0871,
|
342 |
"step": 390
|
343 |
},
|
344 |
{
|
345 |
+
"epoch": 5.860805860805861,
|
346 |
+
"grad_norm": 8.003039360046387,
|
347 |
+
"learning_rate": 2.840599455040872e-05,
|
348 |
+
"loss": 1.0592,
|
349 |
"step": 400
|
350 |
},
|
351 |
{
|
352 |
+
"epoch": 5.992673992673993,
|
353 |
+
"eval_accuracy": 0.5766758494031221,
|
354 |
+
"eval_f1": 0.5414852771503386,
|
355 |
+
"eval_loss": 0.9847236275672913,
|
356 |
+
"eval_precision": 0.5484837093262834,
|
357 |
+
"eval_recall": 0.5766758494031221,
|
358 |
+
"eval_runtime": 10.5345,
|
359 |
+
"eval_samples_per_second": 103.374,
|
360 |
+
"eval_steps_per_second": 6.55,
|
361 |
+
"step": 409
|
362 |
},
|
363 |
{
|
364 |
+
"epoch": 6.007326007326007,
|
365 |
+
"grad_norm": 9.939899444580078,
|
366 |
+
"learning_rate": 2.772479564032698e-05,
|
367 |
+
"loss": 1.0573,
|
|
|
|
|
|
|
|
|
|
|
368 |
"step": 410
|
369 |
},
|
370 |
{
|
371 |
+
"epoch": 6.153846153846154,
|
372 |
+
"grad_norm": 8.810173988342285,
|
373 |
+
"learning_rate": 2.7043596730245236e-05,
|
374 |
+
"loss": 1.038,
|
375 |
"step": 420
|
376 |
},
|
377 |
{
|
378 |
+
"epoch": 6.3003663003663,
|
379 |
+
"grad_norm": 9.228567123413086,
|
380 |
+
"learning_rate": 2.6362397820163485e-05,
|
381 |
+
"loss": 1.0441,
|
382 |
"step": 430
|
383 |
},
|
384 |
{
|
385 |
+
"epoch": 6.446886446886447,
|
386 |
+
"grad_norm": 10.357806205749512,
|
387 |
+
"learning_rate": 2.5681198910081745e-05,
|
388 |
+
"loss": 1.0313,
|
389 |
"step": 440
|
390 |
},
|
391 |
{
|
392 |
+
"epoch": 6.593406593406593,
|
393 |
+
"grad_norm": 6.874061584472656,
|
394 |
+
"learning_rate": 2.5e-05,
|
395 |
+
"loss": 1.0667,
|
396 |
"step": 450
|
397 |
},
|
398 |
{
|
399 |
+
"epoch": 6.73992673992674,
|
400 |
+
"grad_norm": 10.741703987121582,
|
401 |
+
"learning_rate": 2.4318801089918257e-05,
|
402 |
+
"loss": 1.0353,
|
403 |
"step": 460
|
404 |
},
|
405 |
{
|
406 |
+
"epoch": 6.886446886446887,
|
407 |
+
"grad_norm": 7.215301513671875,
|
408 |
+
"learning_rate": 2.3637602179836514e-05,
|
409 |
+
"loss": 1.0706,
|
410 |
"step": 470
|
411 |
},
|
412 |
{
|
413 |
+
"epoch": 6.989010989010989,
|
414 |
+
"eval_accuracy": 0.588613406795225,
|
415 |
+
"eval_f1": 0.5835655659113839,
|
416 |
+
"eval_loss": 0.9867706894874573,
|
417 |
+
"eval_precision": 0.5861531495568983,
|
418 |
+
"eval_recall": 0.588613406795225,
|
419 |
+
"eval_runtime": 10.5429,
|
420 |
+
"eval_samples_per_second": 103.292,
|
421 |
+
"eval_steps_per_second": 6.545,
|
422 |
+
"step": 477
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 7.032967032967033,
|
426 |
+
"grad_norm": 9.452975273132324,
|
427 |
+
"learning_rate": 2.295640326975477e-05,
|
428 |
+
"loss": 1.1093,
|
429 |
"step": 480
|
430 |
},
|
431 |
{
|
432 |
+
"epoch": 7.17948717948718,
|
433 |
+
"grad_norm": 5.909883499145508,
|
434 |
+
"learning_rate": 2.2275204359673023e-05,
|
435 |
+
"loss": 1.0628,
|
436 |
"step": 490
|
437 |
},
|
438 |
{
|
439 |
+
"epoch": 7.326007326007326,
|
440 |
+
"grad_norm": 8.430510520935059,
|
441 |
+
"learning_rate": 2.1594005449591282e-05,
|
442 |
+
"loss": 1.0175,
|
443 |
"step": 500
|
444 |
},
|
445 |
{
|
446 |
+
"epoch": 7.472527472527473,
|
447 |
+
"grad_norm": 11.566703796386719,
|
448 |
+
"learning_rate": 2.091280653950954e-05,
|
449 |
+
"loss": 0.9975,
|
450 |
"step": 510
|
451 |
},
|
452 |
{
|
453 |
+
"epoch": 7.619047619047619,
|
454 |
+
"grad_norm": 8.561046600341797,
|
455 |
+
"learning_rate": 2.023160762942779e-05,
|
456 |
+
"loss": 1.057,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
457 |
"step": 520
|
458 |
},
|
459 |
{
|
460 |
+
"epoch": 7.7655677655677655,
|
461 |
+
"grad_norm": 9.214874267578125,
|
462 |
+
"learning_rate": 1.955040871934605e-05,
|
463 |
+
"loss": 1.0085,
|
464 |
"step": 530
|
465 |
},
|
466 |
{
|
467 |
+
"epoch": 7.912087912087912,
|
468 |
+
"grad_norm": 7.050257682800293,
|
469 |
+
"learning_rate": 1.8869209809264307e-05,
|
470 |
+
"loss": 1.0404,
|
471 |
"step": 540
|
472 |
},
|
473 |
{
|
474 |
+
"epoch": 8.0,
|
475 |
+
"eval_accuracy": 0.5867768595041323,
|
476 |
+
"eval_f1": 0.5736657074074295,
|
477 |
+
"eval_loss": 0.9758484363555908,
|
478 |
+
"eval_precision": 0.5694509571644558,
|
479 |
+
"eval_recall": 0.5867768595041323,
|
480 |
+
"eval_runtime": 10.5054,
|
481 |
+
"eval_samples_per_second": 103.661,
|
482 |
+
"eval_steps_per_second": 6.568,
|
483 |
+
"step": 546
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 8.058608058608058,
|
487 |
+
"grad_norm": 9.406164169311523,
|
488 |
+
"learning_rate": 1.818801089918256e-05,
|
489 |
+
"loss": 1.0564,
|
490 |
"step": 550
|
491 |
},
|
492 |
{
|
493 |
+
"epoch": 8.205128205128204,
|
494 |
+
"grad_norm": 8.063167572021484,
|
495 |
+
"learning_rate": 1.750681198910082e-05,
|
496 |
+
"loss": 1.0381,
|
497 |
"step": 560
|
498 |
},
|
499 |
{
|
500 |
+
"epoch": 8.351648351648352,
|
501 |
+
"grad_norm": 7.877150535583496,
|
502 |
+
"learning_rate": 1.6825613079019073e-05,
|
503 |
+
"loss": 0.9996,
|
504 |
"step": 570
|
505 |
},
|
506 |
{
|
507 |
+
"epoch": 8.498168498168498,
|
508 |
+
"grad_norm": 10.49506664276123,
|
509 |
+
"learning_rate": 1.614441416893733e-05,
|
510 |
+
"loss": 0.9723,
|
511 |
"step": 580
|
512 |
},
|
513 |
{
|
514 |
+
"epoch": 8.644688644688644,
|
515 |
+
"grad_norm": 8.74528694152832,
|
516 |
+
"learning_rate": 1.546321525885559e-05,
|
517 |
+
"loss": 1.0267,
|
518 |
"step": 590
|
519 |
},
|
520 |
{
|
521 |
+
"epoch": 8.791208791208792,
|
522 |
+
"grad_norm": 7.0554962158203125,
|
523 |
+
"learning_rate": 1.4782016348773841e-05,
|
524 |
+
"loss": 1.0251,
|
525 |
"step": 600
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 8.937728937728938,
|
529 |
+
"grad_norm": 7.974668502807617,
|
530 |
+
"learning_rate": 1.41008174386921e-05,
|
531 |
+
"loss": 1.0059,
|
532 |
"step": 610
|
533 |
},
|
534 |
{
|
535 |
+
"epoch": 8.996336996336996,
|
536 |
+
"eval_accuracy": 0.5932047750229569,
|
537 |
+
"eval_f1": 0.5674291939014156,
|
538 |
+
"eval_loss": 0.9468401074409485,
|
539 |
+
"eval_precision": 0.5709384462011384,
|
540 |
+
"eval_recall": 0.5932047750229569,
|
541 |
+
"eval_runtime": 10.4878,
|
542 |
+
"eval_samples_per_second": 103.835,
|
543 |
+
"eval_steps_per_second": 6.579,
|
544 |
+
"step": 614
|
545 |
},
|
546 |
{
|
547 |
+
"epoch": 9.084249084249084,
|
548 |
+
"grad_norm": 8.571954727172852,
|
549 |
+
"learning_rate": 1.3419618528610356e-05,
|
550 |
+
"loss": 0.9878,
|
551 |
"step": 620
|
552 |
},
|
553 |
{
|
554 |
+
"epoch": 9.23076923076923,
|
555 |
+
"grad_norm": 8.298359870910645,
|
556 |
+
"learning_rate": 1.273841961852861e-05,
|
557 |
+
"loss": 1.0056,
|
558 |
"step": 630
|
559 |
},
|
560 |
{
|
561 |
+
"epoch": 9.377289377289378,
|
562 |
+
"grad_norm": 7.087368965148926,
|
563 |
+
"learning_rate": 1.2057220708446868e-05,
|
564 |
+
"loss": 1.037,
|
565 |
"step": 640
|
566 |
},
|
567 |
{
|
568 |
+
"epoch": 9.523809523809524,
|
569 |
+
"grad_norm": 7.409104347229004,
|
570 |
+
"learning_rate": 1.1376021798365123e-05,
|
571 |
+
"loss": 0.9326,
|
572 |
"step": 650
|
573 |
},
|
574 |
{
|
575 |
+
"epoch": 9.67032967032967,
|
576 |
+
"grad_norm": 7.1452531814575195,
|
577 |
+
"learning_rate": 1.0694822888283379e-05,
|
578 |
+
"loss": 0.9723,
|
579 |
"step": 660
|
580 |
},
|
581 |
{
|
582 |
+
"epoch": 9.816849816849818,
|
583 |
+
"grad_norm": 8.340729713439941,
|
584 |
+
"learning_rate": 1.0013623978201635e-05,
|
585 |
+
"loss": 0.9914,
|
586 |
"step": 670
|
587 |
},
|
588 |
{
|
589 |
+
"epoch": 9.963369963369964,
|
590 |
+
"grad_norm": 10.698880195617676,
|
591 |
+
"learning_rate": 9.332425068119891e-06,
|
592 |
+
"loss": 0.965,
|
593 |
"step": 680
|
594 |
},
|
595 |
{
|
596 |
+
"epoch": 9.992673992673993,
|
597 |
+
"eval_accuracy": 0.5932047750229569,
|
598 |
+
"eval_f1": 0.5804462637419235,
|
599 |
+
"eval_loss": 0.9565483331680298,
|
600 |
+
"eval_precision": 0.5857538351608745,
|
601 |
+
"eval_recall": 0.5932047750229569,
|
602 |
+
"eval_runtime": 10.4791,
|
603 |
+
"eval_samples_per_second": 103.921,
|
604 |
+
"eval_steps_per_second": 6.585,
|
605 |
+
"step": 682
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 10.10989010989011,
|
609 |
+
"grad_norm": 10.67618465423584,
|
610 |
+
"learning_rate": 8.651226158038147e-06,
|
611 |
+
"loss": 0.9732,
|
612 |
"step": 690
|
613 |
},
|
614 |
{
|
615 |
+
"epoch": 10.256410256410255,
|
616 |
+
"grad_norm": 9.102426528930664,
|
617 |
+
"learning_rate": 7.970027247956404e-06,
|
618 |
+
"loss": 0.9804,
|
619 |
"step": 700
|
620 |
},
|
621 |
{
|
622 |
+
"epoch": 10.402930402930403,
|
623 |
+
"grad_norm": 11.115556716918945,
|
624 |
+
"learning_rate": 7.288828337874659e-06,
|
625 |
+
"loss": 0.9855,
|
626 |
"step": 710
|
627 |
},
|
628 |
{
|
629 |
+
"epoch": 10.54945054945055,
|
630 |
+
"grad_norm": 11.00426197052002,
|
631 |
+
"learning_rate": 6.607629427792916e-06,
|
632 |
+
"loss": 0.9691,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
633 |
"step": 720
|
634 |
},
|
635 |
{
|
636 |
+
"epoch": 10.695970695970695,
|
637 |
+
"grad_norm": 10.043339729309082,
|
638 |
+
"learning_rate": 5.9264305177111724e-06,
|
639 |
+
"loss": 0.9365,
|
640 |
"step": 730
|
641 |
},
|
642 |
{
|
643 |
+
"epoch": 10.842490842490843,
|
644 |
+
"grad_norm": 11.518232345581055,
|
645 |
+
"learning_rate": 5.245231607629428e-06,
|
646 |
+
"loss": 0.9659,
|
647 |
"step": 740
|
648 |
},
|
649 |
{
|
650 |
+
"epoch": 10.989010989010989,
|
651 |
+
"grad_norm": 9.314995765686035,
|
652 |
+
"learning_rate": 4.564032697547684e-06,
|
653 |
+
"loss": 0.9362,
|
654 |
+
"step": 750
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 10.989010989010989,
|
658 |
+
"eval_accuracy": 0.588613406795225,
|
659 |
+
"eval_f1": 0.5778239696801104,
|
660 |
+
"eval_loss": 0.9466218948364258,
|
661 |
+
"eval_precision": 0.5767647827506791,
|
662 |
+
"eval_recall": 0.588613406795225,
|
663 |
+
"eval_runtime": 10.5258,
|
664 |
+
"eval_samples_per_second": 103.46,
|
665 |
+
"eval_steps_per_second": 6.555,
|
666 |
"step": 750
|
667 |
},
|
668 |
{
|
669 |
+
"epoch": 11.135531135531135,
|
670 |
+
"grad_norm": 10.667020797729492,
|
671 |
+
"learning_rate": 3.88283378746594e-06,
|
672 |
+
"loss": 0.9564,
|
673 |
"step": 760
|
674 |
},
|
675 |
{
|
676 |
+
"epoch": 11.282051282051283,
|
677 |
+
"grad_norm": 10.923125267028809,
|
678 |
+
"learning_rate": 3.2016348773841965e-06,
|
679 |
+
"loss": 0.9177,
|
680 |
"step": 770
|
681 |
},
|
682 |
{
|
683 |
+
"epoch": 11.428571428571429,
|
684 |
+
"grad_norm": 9.893692016601562,
|
685 |
+
"learning_rate": 2.5204359673024523e-06,
|
686 |
+
"loss": 0.9732,
|
687 |
"step": 780
|
688 |
},
|
689 |
{
|
690 |
+
"epoch": 11.575091575091575,
|
691 |
+
"grad_norm": 8.784825325012207,
|
692 |
+
"learning_rate": 1.8392370572207086e-06,
|
693 |
+
"loss": 0.9558,
|
694 |
"step": 790
|
695 |
},
|
696 |
{
|
697 |
+
"epoch": 11.72161172161172,
|
698 |
+
"grad_norm": 8.990778923034668,
|
699 |
+
"learning_rate": 1.1580381471389646e-06,
|
700 |
+
"loss": 0.9656,
|
701 |
"step": 800
|
702 |
},
|
703 |
{
|
704 |
+
"epoch": 11.868131868131869,
|
705 |
+
"grad_norm": 8.444221496582031,
|
706 |
+
"learning_rate": 4.768392370572207e-07,
|
707 |
+
"loss": 0.9334,
|
708 |
"step": 810
|
709 |
},
|
710 |
{
|
711 |
+
"epoch": 11.956043956043956,
|
712 |
+
"eval_accuracy": 0.5858585858585859,
|
713 |
+
"eval_f1": 0.5699572730591373,
|
714 |
+
"eval_loss": 0.9441593885421753,
|
715 |
+
"eval_precision": 0.5692451226403554,
|
716 |
+
"eval_recall": 0.5858585858585859,
|
717 |
+
"eval_runtime": 10.5926,
|
718 |
+
"eval_samples_per_second": 102.808,
|
719 |
+
"eval_steps_per_second": 6.514,
|
720 |
+
"step": 816
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 11.956043956043956,
|
724 |
+
"step": 816,
|
725 |
+
"total_flos": 4.123334853511373e+18,
|
726 |
+
"train_loss": 1.090085435147379,
|
727 |
+
"train_runtime": 2115.1144,
|
728 |
+
"train_samples_per_second": 24.697,
|
729 |
+
"train_steps_per_second": 0.386
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
730 |
}
|
731 |
],
|
732 |
"logging_steps": 10,
|
733 |
+
"max_steps": 816,
|
734 |
"num_input_tokens_seen": 0,
|
735 |
"num_train_epochs": 12,
|
736 |
"save_steps": 500,
|
|
|
746 |
"attributes": {}
|
747 |
}
|
748 |
},
|
749 |
+
"total_flos": 4.123334853511373e+18,
|
750 |
"train_batch_size": 16,
|
751 |
"trial_name": null,
|
752 |
"trial_params": null
|