DouglasBraga
commited on
Commit
•
17547a8
1
Parent(s):
493a775
End of training
Browse files- README.md +3 -3
- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +4 -4
- trainer_state.json +678 -678
README.md
CHANGED
@@ -23,7 +23,7 @@ model-index:
|
|
23 |
metrics:
|
24 |
- name: Accuracy
|
25 |
type: accuracy
|
26 |
-
value: 0.
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
33 |
|
34 |
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
-
- Loss: 0.
|
37 |
-
- Accuracy: 0.
|
38 |
|
39 |
## Model description
|
40 |
|
|
|
23 |
metrics:
|
24 |
- name: Accuracy
|
25 |
type: accuracy
|
26 |
+
value: 0.895774647887324
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
33 |
|
34 |
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 0.3423
|
37 |
+
- Accuracy: 0.8958
|
38 |
|
39 |
## Model description
|
40 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 9.984,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 2.
|
8 |
"total_flos": 9.926487761391452e+18,
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second": 2.
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.984,
|
3 |
+
"eval_accuracy": 0.895774647887324,
|
4 |
+
"eval_loss": 0.3423428237438202,
|
5 |
+
"eval_runtime": 15.3494,
|
6 |
+
"eval_samples_per_second": 69.384,
|
7 |
+
"eval_steps_per_second": 2.215,
|
8 |
"total_flos": 9.926487761391452e+18,
|
9 |
+
"train_loss": 0.15854326258771695,
|
10 |
+
"train_runtime": 146927.3485,
|
11 |
+
"train_samples_per_second": 2.722,
|
12 |
+
"train_steps_per_second": 0.021
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 9.984,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 2.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.984,
|
3 |
+
"eval_accuracy": 0.895774647887324,
|
4 |
+
"eval_loss": 0.3423428237438202,
|
5 |
+
"eval_runtime": 15.3494,
|
6 |
+
"eval_samples_per_second": 69.384,
|
7 |
+
"eval_steps_per_second": 2.215
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 9.984,
|
3 |
"total_flos": 9.926487761391452e+18,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 2.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.984,
|
3 |
"total_flos": 9.926487761391452e+18,
|
4 |
+
"train_loss": 0.15854326258771695,
|
5 |
+
"train_runtime": 146927.3485,
|
6 |
+
"train_samples_per_second": 2.722,
|
7 |
+
"train_steps_per_second": 0.021
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-leukemia-08-2024.v1.1\\checkpoint-2187",
|
4 |
"epoch": 9.984,
|
5 |
"eval_steps": 500,
|
@@ -10,2286 +10,2286 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.032,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 1.6025641025641025e-06,
|
15 |
-
"loss": 0.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.064,
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 3.205128205128205e-06,
|
22 |
-
"loss": 0.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.096,
|
27 |
-
"grad_norm": 5.
|
28 |
"learning_rate": 4.807692307692308e-06,
|
29 |
-
"loss": 0.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.128,
|
34 |
-
"grad_norm":
|
35 |
"learning_rate": 6.41025641025641e-06,
|
36 |
-
"loss": 0.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.16,
|
41 |
-
"grad_norm": 8.
|
42 |
"learning_rate": 8.012820512820515e-06,
|
43 |
-
"loss": 0.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.192,
|
48 |
-
"grad_norm": 11.
|
49 |
"learning_rate": 9.615384615384616e-06,
|
50 |
-
"loss": 0.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.224,
|
55 |
-
"grad_norm":
|
56 |
"learning_rate": 1.1217948717948719e-05,
|
57 |
-
"loss": 0.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.256,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 1.282051282051282e-05,
|
64 |
-
"loss": 0.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.288,
|
69 |
-
"grad_norm":
|
70 |
"learning_rate": 1.4423076923076923e-05,
|
71 |
-
"loss": 0.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.32,
|
76 |
-
"grad_norm":
|
77 |
"learning_rate": 1.602564102564103e-05,
|
78 |
-
"loss": 0.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.352,
|
83 |
-
"grad_norm":
|
84 |
"learning_rate": 1.762820512820513e-05,
|
85 |
"loss": 0.5046,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.384,
|
90 |
-
"grad_norm":
|
91 |
"learning_rate": 1.923076923076923e-05,
|
92 |
-
"loss": 0.
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.416,
|
97 |
-
"grad_norm": 12.
|
98 |
"learning_rate": 2.0833333333333336e-05,
|
99 |
-
"loss": 0.
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.448,
|
104 |
-
"grad_norm":
|
105 |
"learning_rate": 2.2435897435897437e-05,
|
106 |
-
"loss": 0.
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.48,
|
111 |
-
"grad_norm":
|
112 |
"learning_rate": 2.4038461538461542e-05,
|
113 |
-
"loss": 0.
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.512,
|
118 |
-
"grad_norm":
|
119 |
"learning_rate": 2.564102564102564e-05,
|
120 |
-
"loss": 0.
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.544,
|
125 |
-
"grad_norm":
|
126 |
"learning_rate": 2.724358974358974e-05,
|
127 |
-
"loss": 0.
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.576,
|
132 |
-
"grad_norm":
|
133 |
"learning_rate": 2.8846153846153845e-05,
|
134 |
-
"loss": 0.
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.608,
|
139 |
-
"grad_norm":
|
140 |
"learning_rate": 3.0448717948717947e-05,
|
141 |
-
"loss": 0.
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.64,
|
146 |
-
"grad_norm":
|
147 |
"learning_rate": 3.205128205128206e-05,
|
148 |
-
"loss": 0.
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.672,
|
153 |
-
"grad_norm":
|
154 |
"learning_rate": 3.365384615384616e-05,
|
155 |
-
"loss": 0.
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.704,
|
160 |
-
"grad_norm":
|
161 |
"learning_rate": 3.525641025641026e-05,
|
162 |
-
"loss": 0.
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.736,
|
167 |
-
"grad_norm":
|
168 |
"learning_rate": 3.685897435897436e-05,
|
169 |
-
"loss": 0.
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.768,
|
174 |
-
"grad_norm":
|
175 |
"learning_rate": 3.846153846153846e-05,
|
176 |
-
"loss": 0.
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.8,
|
181 |
-
"grad_norm":
|
182 |
"learning_rate": 4.006410256410257e-05,
|
183 |
-
"loss": 0.
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.832,
|
188 |
-
"grad_norm":
|
189 |
"learning_rate": 4.166666666666667e-05,
|
190 |
-
"loss": 0.
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.864,
|
195 |
-
"grad_norm":
|
196 |
"learning_rate": 4.326923076923077e-05,
|
197 |
-
"loss": 0.
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.896,
|
202 |
-
"grad_norm":
|
203 |
"learning_rate": 4.4871794871794874e-05,
|
204 |
-
"loss": 0.
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.928,
|
209 |
-
"grad_norm":
|
210 |
"learning_rate": 4.6474358974358976e-05,
|
211 |
-
"loss": 0.
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.96,
|
216 |
-
"grad_norm":
|
217 |
"learning_rate": 4.8076923076923084e-05,
|
218 |
-
"loss": 0.
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.992,
|
223 |
-
"grad_norm":
|
224 |
"learning_rate": 4.9679487179487185e-05,
|
225 |
-
"loss": 0.
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9984,
|
230 |
-
"eval_accuracy": 0.
|
231 |
-
"eval_loss":
|
232 |
-
"eval_runtime": 15.
|
233 |
-
"eval_samples_per_second":
|
234 |
-
"eval_steps_per_second": 2.
|
235 |
"step": 312
|
236 |
},
|
237 |
{
|
238 |
"epoch": 1.024,
|
239 |
-
"grad_norm":
|
240 |
"learning_rate": 4.985754985754986e-05,
|
241 |
-
"loss": 0.
|
242 |
"step": 320
|
243 |
},
|
244 |
{
|
245 |
"epoch": 1.056,
|
246 |
-
"grad_norm":
|
247 |
"learning_rate": 4.9679487179487185e-05,
|
248 |
-
"loss": 0.
|
249 |
"step": 330
|
250 |
},
|
251 |
{
|
252 |
"epoch": 1.088,
|
253 |
-
"grad_norm":
|
254 |
"learning_rate": 4.95014245014245e-05,
|
255 |
-
"loss": 0.
|
256 |
"step": 340
|
257 |
},
|
258 |
{
|
259 |
"epoch": 1.12,
|
260 |
-
"grad_norm":
|
261 |
"learning_rate": 4.932336182336182e-05,
|
262 |
-
"loss": 0.
|
263 |
"step": 350
|
264 |
},
|
265 |
{
|
266 |
"epoch": 1.152,
|
267 |
-
"grad_norm":
|
268 |
"learning_rate": 4.9145299145299147e-05,
|
269 |
-
"loss": 0.
|
270 |
"step": 360
|
271 |
},
|
272 |
{
|
273 |
"epoch": 1.184,
|
274 |
-
"grad_norm":
|
275 |
"learning_rate": 4.896723646723647e-05,
|
276 |
-
"loss": 0.
|
277 |
"step": 370
|
278 |
},
|
279 |
{
|
280 |
"epoch": 1.216,
|
281 |
-
"grad_norm":
|
282 |
"learning_rate": 4.878917378917379e-05,
|
283 |
-
"loss": 0.
|
284 |
"step": 380
|
285 |
},
|
286 |
{
|
287 |
"epoch": 1.248,
|
288 |
-
"grad_norm":
|
289 |
"learning_rate": 4.8611111111111115e-05,
|
290 |
-
"loss": 0.
|
291 |
"step": 390
|
292 |
},
|
293 |
{
|
294 |
"epoch": 1.28,
|
295 |
-
"grad_norm":
|
296 |
"learning_rate": 4.8433048433048433e-05,
|
297 |
-
"loss": 0.
|
298 |
"step": 400
|
299 |
},
|
300 |
{
|
301 |
"epoch": 1.312,
|
302 |
-
"grad_norm":
|
303 |
"learning_rate": 4.825498575498576e-05,
|
304 |
-
"loss": 0.
|
305 |
"step": 410
|
306 |
},
|
307 |
{
|
308 |
"epoch": 1.3439999999999999,
|
309 |
-
"grad_norm":
|
310 |
"learning_rate": 4.8076923076923084e-05,
|
311 |
-
"loss": 0.
|
312 |
"step": 420
|
313 |
},
|
314 |
{
|
315 |
"epoch": 1.376,
|
316 |
-
"grad_norm":
|
317 |
"learning_rate": 4.78988603988604e-05,
|
318 |
-
"loss": 0.
|
319 |
"step": 430
|
320 |
},
|
321 |
{
|
322 |
"epoch": 1.408,
|
323 |
-
"grad_norm":
|
324 |
"learning_rate": 4.772079772079772e-05,
|
325 |
-
"loss": 0.
|
326 |
"step": 440
|
327 |
},
|
328 |
{
|
329 |
"epoch": 1.44,
|
330 |
-
"grad_norm":
|
331 |
"learning_rate": 4.7542735042735045e-05,
|
332 |
-
"loss": 0.
|
333 |
"step": 450
|
334 |
},
|
335 |
{
|
336 |
"epoch": 1.472,
|
337 |
-
"grad_norm":
|
338 |
"learning_rate": 4.736467236467237e-05,
|
339 |
-
"loss": 0.
|
340 |
"step": 460
|
341 |
},
|
342 |
{
|
343 |
"epoch": 1.504,
|
344 |
-
"grad_norm":
|
345 |
"learning_rate": 4.718660968660969e-05,
|
346 |
-
"loss": 0.
|
347 |
"step": 470
|
348 |
},
|
349 |
{
|
350 |
"epoch": 1.536,
|
351 |
-
"grad_norm":
|
352 |
"learning_rate": 4.700854700854701e-05,
|
353 |
-
"loss": 0.
|
354 |
"step": 480
|
355 |
},
|
356 |
{
|
357 |
"epoch": 1.568,
|
358 |
-
"grad_norm":
|
359 |
"learning_rate": 4.683048433048433e-05,
|
360 |
-
"loss": 0.
|
361 |
"step": 490
|
362 |
},
|
363 |
{
|
364 |
"epoch": 1.6,
|
365 |
-
"grad_norm":
|
366 |
"learning_rate": 4.665242165242166e-05,
|
367 |
-
"loss": 0.
|
368 |
"step": 500
|
369 |
},
|
370 |
{
|
371 |
"epoch": 1.6320000000000001,
|
372 |
-
"grad_norm":
|
373 |
"learning_rate": 4.6474358974358976e-05,
|
374 |
-
"loss": 0.
|
375 |
"step": 510
|
376 |
},
|
377 |
{
|
378 |
"epoch": 1.6640000000000001,
|
379 |
-
"grad_norm":
|
380 |
"learning_rate": 4.62962962962963e-05,
|
381 |
-
"loss": 0.
|
382 |
"step": 520
|
383 |
},
|
384 |
{
|
385 |
"epoch": 1.696,
|
386 |
-
"grad_norm":
|
387 |
"learning_rate": 4.611823361823362e-05,
|
388 |
-
"loss": 0.
|
389 |
"step": 530
|
390 |
},
|
391 |
{
|
392 |
"epoch": 1.728,
|
393 |
-
"grad_norm":
|
394 |
"learning_rate": 4.594017094017094e-05,
|
395 |
-
"loss": 0.
|
396 |
"step": 540
|
397 |
},
|
398 |
{
|
399 |
"epoch": 1.76,
|
400 |
-
"grad_norm":
|
401 |
"learning_rate": 4.576210826210827e-05,
|
402 |
-
"loss": 0.
|
403 |
"step": 550
|
404 |
},
|
405 |
{
|
406 |
"epoch": 1.792,
|
407 |
-
"grad_norm":
|
408 |
"learning_rate": 4.558404558404559e-05,
|
409 |
-
"loss": 0.
|
410 |
"step": 560
|
411 |
},
|
412 |
{
|
413 |
"epoch": 1.8239999999999998,
|
414 |
-
"grad_norm":
|
415 |
"learning_rate": 4.5405982905982906e-05,
|
416 |
-
"loss": 0.
|
417 |
"step": 570
|
418 |
},
|
419 |
{
|
420 |
"epoch": 1.8559999999999999,
|
421 |
-
"grad_norm":
|
422 |
"learning_rate": 4.522792022792023e-05,
|
423 |
-
"loss": 0.
|
424 |
"step": 580
|
425 |
},
|
426 |
{
|
427 |
"epoch": 1.888,
|
428 |
-
"grad_norm":
|
429 |
"learning_rate": 4.504985754985755e-05,
|
430 |
-
"loss": 0.
|
431 |
"step": 590
|
432 |
},
|
433 |
{
|
434 |
"epoch": 1.92,
|
435 |
-
"grad_norm":
|
436 |
"learning_rate": 4.4871794871794874e-05,
|
437 |
-
"loss": 0.
|
438 |
"step": 600
|
439 |
},
|
440 |
{
|
441 |
"epoch": 1.952,
|
442 |
-
"grad_norm":
|
443 |
"learning_rate": 4.46937321937322e-05,
|
444 |
-
"loss": 0.
|
445 |
"step": 610
|
446 |
},
|
447 |
{
|
448 |
"epoch": 1.984,
|
449 |
-
"grad_norm": 13.
|
450 |
"learning_rate": 4.451566951566952e-05,
|
451 |
-
"loss": 0.
|
452 |
"step": 620
|
453 |
},
|
454 |
{
|
455 |
"epoch": 2.0,
|
456 |
-
"eval_accuracy": 0.
|
457 |
-
"eval_loss": 0.
|
458 |
-
"eval_runtime":
|
459 |
-
"eval_samples_per_second":
|
460 |
-
"eval_steps_per_second": 2.
|
461 |
"step": 625
|
462 |
},
|
463 |
{
|
464 |
"epoch": 2.016,
|
465 |
-
"grad_norm":
|
466 |
"learning_rate": 4.4337606837606836e-05,
|
467 |
-
"loss": 0.
|
468 |
"step": 630
|
469 |
},
|
470 |
{
|
471 |
"epoch": 2.048,
|
472 |
-
"grad_norm":
|
473 |
"learning_rate": 4.415954415954416e-05,
|
474 |
-
"loss": 0.
|
475 |
"step": 640
|
476 |
},
|
477 |
{
|
478 |
"epoch": 2.08,
|
479 |
-
"grad_norm":
|
480 |
"learning_rate": 4.3981481481481486e-05,
|
481 |
-
"loss": 0.
|
482 |
"step": 650
|
483 |
},
|
484 |
{
|
485 |
"epoch": 2.112,
|
486 |
-
"grad_norm":
|
487 |
"learning_rate": 4.3803418803418805e-05,
|
488 |
-
"loss": 0.
|
489 |
"step": 660
|
490 |
},
|
491 |
{
|
492 |
"epoch": 2.144,
|
493 |
-
"grad_norm":
|
494 |
"learning_rate": 4.362535612535612e-05,
|
495 |
-
"loss": 0.
|
496 |
"step": 670
|
497 |
},
|
498 |
{
|
499 |
"epoch": 2.176,
|
500 |
-
"grad_norm":
|
501 |
"learning_rate": 4.344729344729345e-05,
|
502 |
-
"loss": 0.
|
503 |
"step": 680
|
504 |
},
|
505 |
{
|
506 |
"epoch": 2.208,
|
507 |
-
"grad_norm":
|
508 |
"learning_rate": 4.326923076923077e-05,
|
509 |
-
"loss": 0.
|
510 |
"step": 690
|
511 |
},
|
512 |
{
|
513 |
"epoch": 2.24,
|
514 |
-
"grad_norm":
|
515 |
"learning_rate": 4.309116809116809e-05,
|
516 |
-
"loss": 0.
|
517 |
"step": 700
|
518 |
},
|
519 |
{
|
520 |
"epoch": 2.2720000000000002,
|
521 |
-
"grad_norm":
|
522 |
"learning_rate": 4.291310541310542e-05,
|
523 |
-
"loss": 0.
|
524 |
"step": 710
|
525 |
},
|
526 |
{
|
527 |
"epoch": 2.304,
|
528 |
-
"grad_norm":
|
529 |
"learning_rate": 4.2735042735042735e-05,
|
530 |
-
"loss": 0.
|
531 |
"step": 720
|
532 |
},
|
533 |
{
|
534 |
"epoch": 2.336,
|
535 |
-
"grad_norm":
|
536 |
"learning_rate": 4.255698005698006e-05,
|
537 |
-
"loss": 0.
|
538 |
"step": 730
|
539 |
},
|
540 |
{
|
541 |
"epoch": 2.368,
|
542 |
-
"grad_norm":
|
543 |
"learning_rate": 4.2378917378917385e-05,
|
544 |
-
"loss": 0.
|
545 |
"step": 740
|
546 |
},
|
547 |
{
|
548 |
"epoch": 2.4,
|
549 |
-
"grad_norm": 14.
|
550 |
"learning_rate": 4.2200854700854704e-05,
|
551 |
-
"loss": 0.
|
552 |
"step": 750
|
553 |
},
|
554 |
{
|
555 |
"epoch": 2.432,
|
556 |
-
"grad_norm":
|
557 |
"learning_rate": 4.202279202279202e-05,
|
558 |
-
"loss": 0.
|
559 |
"step": 760
|
560 |
},
|
561 |
{
|
562 |
"epoch": 2.464,
|
563 |
-
"grad_norm": 8.
|
564 |
"learning_rate": 4.184472934472935e-05,
|
565 |
-
"loss": 0.
|
566 |
"step": 770
|
567 |
},
|
568 |
{
|
569 |
"epoch": 2.496,
|
570 |
-
"grad_norm":
|
571 |
"learning_rate": 4.166666666666667e-05,
|
572 |
-
"loss": 0.
|
573 |
"step": 780
|
574 |
},
|
575 |
{
|
576 |
"epoch": 2.528,
|
577 |
-
"grad_norm":
|
578 |
"learning_rate": 4.148860398860399e-05,
|
579 |
-
"loss": 0.
|
580 |
"step": 790
|
581 |
},
|
582 |
{
|
583 |
"epoch": 2.56,
|
584 |
-
"grad_norm":
|
585 |
"learning_rate": 4.131054131054131e-05,
|
586 |
-
"loss": 0.
|
587 |
"step": 800
|
588 |
},
|
589 |
{
|
590 |
"epoch": 2.592,
|
591 |
-
"grad_norm":
|
592 |
"learning_rate": 4.1132478632478634e-05,
|
593 |
-
"loss": 0.
|
594 |
"step": 810
|
595 |
},
|
596 |
{
|
597 |
"epoch": 2.624,
|
598 |
-
"grad_norm":
|
599 |
"learning_rate": 4.095441595441596e-05,
|
600 |
-
"loss": 0.
|
601 |
"step": 820
|
602 |
},
|
603 |
{
|
604 |
"epoch": 2.656,
|
605 |
-
"grad_norm":
|
606 |
"learning_rate": 4.077635327635328e-05,
|
607 |
-
"loss": 0.
|
608 |
"step": 830
|
609 |
},
|
610 |
{
|
611 |
"epoch": 2.6879999999999997,
|
612 |
-
"grad_norm":
|
613 |
"learning_rate": 4.05982905982906e-05,
|
614 |
-
"loss": 0.
|
615 |
"step": 840
|
616 |
},
|
617 |
{
|
618 |
"epoch": 2.7199999999999998,
|
619 |
-
"grad_norm":
|
620 |
"learning_rate": 4.042022792022792e-05,
|
621 |
-
"loss": 0.
|
622 |
"step": 850
|
623 |
},
|
624 |
{
|
625 |
"epoch": 2.752,
|
626 |
-
"grad_norm":
|
627 |
"learning_rate": 4.024216524216524e-05,
|
628 |
-
"loss": 0.
|
629 |
"step": 860
|
630 |
},
|
631 |
{
|
632 |
"epoch": 2.784,
|
633 |
-
"grad_norm": 23.
|
634 |
"learning_rate": 4.006410256410257e-05,
|
635 |
-
"loss": 0.
|
636 |
"step": 870
|
637 |
},
|
638 |
{
|
639 |
"epoch": 2.816,
|
640 |
-
"grad_norm":
|
641 |
"learning_rate": 3.988603988603989e-05,
|
642 |
-
"loss": 0.
|
643 |
"step": 880
|
644 |
},
|
645 |
{
|
646 |
"epoch": 2.848,
|
647 |
-
"grad_norm":
|
648 |
"learning_rate": 3.970797720797721e-05,
|
649 |
-
"loss": 0.
|
650 |
"step": 890
|
651 |
},
|
652 |
{
|
653 |
"epoch": 2.88,
|
654 |
-
"grad_norm":
|
655 |
"learning_rate": 3.952991452991453e-05,
|
656 |
-
"loss": 0.
|
657 |
"step": 900
|
658 |
},
|
659 |
{
|
660 |
"epoch": 2.912,
|
661 |
-
"grad_norm":
|
662 |
"learning_rate": 3.935185185185186e-05,
|
663 |
-
"loss": 0.
|
664 |
"step": 910
|
665 |
},
|
666 |
{
|
667 |
"epoch": 2.944,
|
668 |
-
"grad_norm":
|
669 |
"learning_rate": 3.9173789173789176e-05,
|
670 |
-
"loss": 0.
|
671 |
"step": 920
|
672 |
},
|
673 |
{
|
674 |
"epoch": 2.976,
|
675 |
-
"grad_norm":
|
676 |
"learning_rate": 3.89957264957265e-05,
|
677 |
-
"loss": 0.
|
678 |
"step": 930
|
679 |
},
|
680 |
{
|
681 |
"epoch": 2.9984,
|
682 |
-
"eval_accuracy": 0.
|
683 |
-
"eval_loss": 0.
|
684 |
-
"eval_runtime":
|
685 |
-
"eval_samples_per_second":
|
686 |
-
"eval_steps_per_second": 2.
|
687 |
"step": 937
|
688 |
},
|
689 |
{
|
690 |
"epoch": 3.008,
|
691 |
-
"grad_norm":
|
692 |
"learning_rate": 3.881766381766382e-05,
|
693 |
-
"loss": 0.
|
694 |
"step": 940
|
695 |
},
|
696 |
{
|
697 |
"epoch": 3.04,
|
698 |
-
"grad_norm":
|
699 |
"learning_rate": 3.863960113960114e-05,
|
700 |
-
"loss": 0.
|
701 |
"step": 950
|
702 |
},
|
703 |
{
|
704 |
"epoch": 3.072,
|
705 |
-
"grad_norm":
|
706 |
"learning_rate": 3.846153846153846e-05,
|
707 |
-
"loss": 0.
|
708 |
"step": 960
|
709 |
},
|
710 |
{
|
711 |
"epoch": 3.104,
|
712 |
-
"grad_norm":
|
713 |
"learning_rate": 3.828347578347579e-05,
|
714 |
-
"loss": 0.
|
715 |
"step": 970
|
716 |
},
|
717 |
{
|
718 |
"epoch": 3.136,
|
719 |
-
"grad_norm":
|
720 |
"learning_rate": 3.8105413105413106e-05,
|
721 |
-
"loss": 0.
|
722 |
"step": 980
|
723 |
},
|
724 |
{
|
725 |
"epoch": 3.168,
|
726 |
-
"grad_norm":
|
727 |
"learning_rate": 3.7927350427350425e-05,
|
728 |
-
"loss": 0.
|
729 |
"step": 990
|
730 |
},
|
731 |
{
|
732 |
"epoch": 3.2,
|
733 |
-
"grad_norm":
|
734 |
"learning_rate": 3.774928774928775e-05,
|
735 |
-
"loss": 0.
|
736 |
"step": 1000
|
737 |
},
|
738 |
{
|
739 |
"epoch": 3.232,
|
740 |
-
"grad_norm":
|
741 |
"learning_rate": 3.7571225071225075e-05,
|
742 |
-
"loss": 0.
|
743 |
"step": 1010
|
744 |
},
|
745 |
{
|
746 |
"epoch": 3.2640000000000002,
|
747 |
-
"grad_norm":
|
748 |
"learning_rate": 3.739316239316239e-05,
|
749 |
-
"loss": 0.
|
750 |
"step": 1020
|
751 |
},
|
752 |
{
|
753 |
"epoch": 3.296,
|
754 |
-
"grad_norm":
|
755 |
"learning_rate": 3.721509971509972e-05,
|
756 |
-
"loss": 0.
|
757 |
"step": 1030
|
758 |
},
|
759 |
{
|
760 |
"epoch": 3.328,
|
761 |
-
"grad_norm":
|
762 |
"learning_rate": 3.7037037037037037e-05,
|
763 |
-
"loss": 0.
|
764 |
"step": 1040
|
765 |
},
|
766 |
{
|
767 |
"epoch": 3.36,
|
768 |
-
"grad_norm":
|
769 |
"learning_rate": 3.685897435897436e-05,
|
770 |
-
"loss": 0.
|
771 |
"step": 1050
|
772 |
},
|
773 |
{
|
774 |
"epoch": 3.392,
|
775 |
-
"grad_norm":
|
776 |
"learning_rate": 3.668091168091169e-05,
|
777 |
-
"loss": 0.
|
778 |
"step": 1060
|
779 |
},
|
780 |
{
|
781 |
"epoch": 3.424,
|
782 |
-
"grad_norm":
|
783 |
"learning_rate": 3.6502849002849005e-05,
|
784 |
-
"loss": 0.
|
785 |
"step": 1070
|
786 |
},
|
787 |
{
|
788 |
"epoch": 3.456,
|
789 |
-
"grad_norm":
|
790 |
"learning_rate": 3.6324786324786323e-05,
|
791 |
-
"loss": 0.
|
792 |
"step": 1080
|
793 |
},
|
794 |
{
|
795 |
"epoch": 3.488,
|
796 |
-
"grad_norm":
|
797 |
"learning_rate": 3.614672364672365e-05,
|
798 |
-
"loss": 0.
|
799 |
"step": 1090
|
800 |
},
|
801 |
{
|
802 |
"epoch": 3.52,
|
803 |
-
"grad_norm":
|
804 |
"learning_rate": 3.5968660968660974e-05,
|
805 |
-
"loss": 0.
|
806 |
"step": 1100
|
807 |
},
|
808 |
{
|
809 |
"epoch": 3.552,
|
810 |
-
"grad_norm":
|
811 |
"learning_rate": 3.579059829059829e-05,
|
812 |
-
"loss": 0.
|
813 |
"step": 1110
|
814 |
},
|
815 |
{
|
816 |
"epoch": 3.584,
|
817 |
-
"grad_norm":
|
818 |
"learning_rate": 3.561253561253561e-05,
|
819 |
-
"loss": 0.
|
820 |
"step": 1120
|
821 |
},
|
822 |
{
|
823 |
"epoch": 3.616,
|
824 |
-
"grad_norm":
|
825 |
"learning_rate": 3.5434472934472935e-05,
|
826 |
-
"loss": 0.
|
827 |
"step": 1130
|
828 |
},
|
829 |
{
|
830 |
"epoch": 3.648,
|
831 |
-
"grad_norm":
|
832 |
"learning_rate": 3.525641025641026e-05,
|
833 |
-
"loss": 0.
|
834 |
"step": 1140
|
835 |
},
|
836 |
{
|
837 |
"epoch": 3.68,
|
838 |
-
"grad_norm":
|
839 |
"learning_rate": 3.507834757834758e-05,
|
840 |
-
"loss": 0.
|
841 |
"step": 1150
|
842 |
},
|
843 |
{
|
844 |
"epoch": 3.7119999999999997,
|
845 |
-
"grad_norm":
|
846 |
"learning_rate": 3.4900284900284904e-05,
|
847 |
-
"loss": 0.
|
848 |
"step": 1160
|
849 |
},
|
850 |
{
|
851 |
"epoch": 3.7439999999999998,
|
852 |
-
"grad_norm":
|
853 |
"learning_rate": 3.472222222222222e-05,
|
854 |
-
"loss": 0.
|
855 |
"step": 1170
|
856 |
},
|
857 |
{
|
858 |
"epoch": 3.776,
|
859 |
-
"grad_norm":
|
860 |
"learning_rate": 3.454415954415954e-05,
|
861 |
-
"loss": 0.
|
862 |
"step": 1180
|
863 |
},
|
864 |
{
|
865 |
"epoch": 3.808,
|
866 |
-
"grad_norm":
|
867 |
"learning_rate": 3.436609686609687e-05,
|
868 |
-
"loss": 0.
|
869 |
"step": 1190
|
870 |
},
|
871 |
{
|
872 |
"epoch": 3.84,
|
873 |
-
"grad_norm":
|
874 |
"learning_rate": 3.418803418803419e-05,
|
875 |
-
"loss": 0.
|
876 |
"step": 1200
|
877 |
},
|
878 |
{
|
879 |
"epoch": 3.872,
|
880 |
-
"grad_norm":
|
881 |
"learning_rate": 3.400997150997151e-05,
|
882 |
-
"loss": 0.
|
883 |
"step": 1210
|
884 |
},
|
885 |
{
|
886 |
"epoch": 3.904,
|
887 |
-
"grad_norm":
|
888 |
"learning_rate": 3.3831908831908834e-05,
|
889 |
-
"loss": 0.
|
890 |
"step": 1220
|
891 |
},
|
892 |
{
|
893 |
"epoch": 3.936,
|
894 |
-
"grad_norm":
|
895 |
"learning_rate": 3.365384615384616e-05,
|
896 |
-
"loss": 0.
|
897 |
"step": 1230
|
898 |
},
|
899 |
{
|
900 |
"epoch": 3.968,
|
901 |
-
"grad_norm":
|
902 |
"learning_rate": 3.347578347578348e-05,
|
903 |
-
"loss": 0.
|
904 |
"step": 1240
|
905 |
},
|
906 |
{
|
907 |
"epoch": 4.0,
|
908 |
-
"grad_norm":
|
909 |
"learning_rate": 3.32977207977208e-05,
|
910 |
-
"loss": 0.
|
911 |
"step": 1250
|
912 |
},
|
913 |
{
|
914 |
"epoch": 4.0,
|
915 |
-
"eval_accuracy": 0.
|
916 |
-
"eval_loss": 0.
|
917 |
-
"eval_runtime":
|
918 |
-
"eval_samples_per_second":
|
919 |
-
"eval_steps_per_second": 2.
|
920 |
"step": 1250
|
921 |
},
|
922 |
{
|
923 |
"epoch": 4.032,
|
924 |
-
"grad_norm":
|
925 |
"learning_rate": 3.311965811965812e-05,
|
926 |
-
"loss": 0.
|
927 |
"step": 1260
|
928 |
},
|
929 |
{
|
930 |
"epoch": 4.064,
|
931 |
-
"grad_norm":
|
932 |
"learning_rate": 3.294159544159544e-05,
|
933 |
-
"loss": 0.
|
934 |
"step": 1270
|
935 |
},
|
936 |
{
|
937 |
"epoch": 4.096,
|
938 |
-
"grad_norm":
|
939 |
"learning_rate": 3.2763532763532764e-05,
|
940 |
-
"loss": 0.
|
941 |
"step": 1280
|
942 |
},
|
943 |
{
|
944 |
"epoch": 4.128,
|
945 |
-
"grad_norm":
|
946 |
"learning_rate": 3.258547008547009e-05,
|
947 |
-
"loss": 0.
|
948 |
"step": 1290
|
949 |
},
|
950 |
{
|
951 |
"epoch": 4.16,
|
952 |
-
"grad_norm":
|
953 |
"learning_rate": 3.240740740740741e-05,
|
954 |
-
"loss": 0.
|
955 |
"step": 1300
|
956 |
},
|
957 |
{
|
958 |
"epoch": 4.192,
|
959 |
-
"grad_norm":
|
960 |
"learning_rate": 3.2229344729344726e-05,
|
961 |
-
"loss": 0.
|
962 |
"step": 1310
|
963 |
},
|
964 |
{
|
965 |
"epoch": 4.224,
|
966 |
-
"grad_norm":
|
967 |
"learning_rate": 3.205128205128206e-05,
|
968 |
-
"loss": 0.
|
969 |
"step": 1320
|
970 |
},
|
971 |
{
|
972 |
"epoch": 4.256,
|
973 |
-
"grad_norm":
|
974 |
"learning_rate": 3.1873219373219376e-05,
|
975 |
-
"loss": 0.
|
976 |
"step": 1330
|
977 |
},
|
978 |
{
|
979 |
"epoch": 4.288,
|
980 |
-
"grad_norm":
|
981 |
"learning_rate": 3.1695156695156695e-05,
|
982 |
-
"loss": 0.
|
983 |
"step": 1340
|
984 |
},
|
985 |
{
|
986 |
"epoch": 4.32,
|
987 |
-
"grad_norm":
|
988 |
"learning_rate": 3.151709401709402e-05,
|
989 |
-
"loss": 0.
|
990 |
"step": 1350
|
991 |
},
|
992 |
{
|
993 |
"epoch": 4.352,
|
994 |
-
"grad_norm":
|
995 |
"learning_rate": 3.133903133903134e-05,
|
996 |
-
"loss": 0.
|
997 |
"step": 1360
|
998 |
},
|
999 |
{
|
1000 |
"epoch": 4.384,
|
1001 |
-
"grad_norm":
|
1002 |
"learning_rate": 3.116096866096866e-05,
|
1003 |
-
"loss": 0.
|
1004 |
"step": 1370
|
1005 |
},
|
1006 |
{
|
1007 |
"epoch": 4.416,
|
1008 |
-
"grad_norm":
|
1009 |
"learning_rate": 3.098290598290599e-05,
|
1010 |
-
"loss": 0.
|
1011 |
"step": 1380
|
1012 |
},
|
1013 |
{
|
1014 |
"epoch": 4.448,
|
1015 |
-
"grad_norm":
|
1016 |
"learning_rate": 3.080484330484331e-05,
|
1017 |
-
"loss": 0.
|
1018 |
"step": 1390
|
1019 |
},
|
1020 |
{
|
1021 |
"epoch": 4.48,
|
1022 |
-
"grad_norm":
|
1023 |
"learning_rate": 3.0626780626780625e-05,
|
1024 |
-
"loss": 0.
|
1025 |
"step": 1400
|
1026 |
},
|
1027 |
{
|
1028 |
"epoch": 4.5120000000000005,
|
1029 |
-
"grad_norm":
|
1030 |
"learning_rate": 3.0448717948717947e-05,
|
1031 |
-
"loss": 0.
|
1032 |
"step": 1410
|
1033 |
},
|
1034 |
{
|
1035 |
"epoch": 4.5440000000000005,
|
1036 |
-
"grad_norm":
|
1037 |
"learning_rate": 3.0270655270655275e-05,
|
1038 |
-
"loss": 0.
|
1039 |
"step": 1420
|
1040 |
},
|
1041 |
{
|
1042 |
"epoch": 4.576,
|
1043 |
-
"grad_norm":
|
1044 |
"learning_rate": 3.0092592592592593e-05,
|
1045 |
-
"loss": 0.
|
1046 |
"step": 1430
|
1047 |
},
|
1048 |
{
|
1049 |
"epoch": 4.608,
|
1050 |
-
"grad_norm":
|
1051 |
"learning_rate": 2.9914529914529915e-05,
|
1052 |
-
"loss": 0.
|
1053 |
"step": 1440
|
1054 |
},
|
1055 |
{
|
1056 |
"epoch": 4.64,
|
1057 |
-
"grad_norm":
|
1058 |
"learning_rate": 2.9736467236467237e-05,
|
1059 |
-
"loss": 0.
|
1060 |
"step": 1450
|
1061 |
},
|
1062 |
{
|
1063 |
"epoch": 4.672,
|
1064 |
-
"grad_norm":
|
1065 |
"learning_rate": 2.9558404558404562e-05,
|
1066 |
-
"loss": 0.
|
1067 |
"step": 1460
|
1068 |
},
|
1069 |
{
|
1070 |
"epoch": 4.704,
|
1071 |
-
"grad_norm":
|
1072 |
"learning_rate": 2.9380341880341884e-05,
|
1073 |
-
"loss": 0.
|
1074 |
"step": 1470
|
1075 |
},
|
1076 |
{
|
1077 |
"epoch": 4.736,
|
1078 |
-
"grad_norm":
|
1079 |
"learning_rate": 2.9202279202279202e-05,
|
1080 |
-
"loss": 0.
|
1081 |
"step": 1480
|
1082 |
},
|
1083 |
{
|
1084 |
"epoch": 4.768,
|
1085 |
-
"grad_norm":
|
1086 |
"learning_rate": 2.9024216524216524e-05,
|
1087 |
-
"loss": 0.
|
1088 |
"step": 1490
|
1089 |
},
|
1090 |
{
|
1091 |
"epoch": 4.8,
|
1092 |
-
"grad_norm":
|
1093 |
"learning_rate": 2.8846153846153845e-05,
|
1094 |
-
"loss": 0.
|
1095 |
"step": 1500
|
1096 |
},
|
1097 |
{
|
1098 |
"epoch": 4.832,
|
1099 |
-
"grad_norm":
|
1100 |
"learning_rate": 2.866809116809117e-05,
|
1101 |
-
"loss": 0.
|
1102 |
"step": 1510
|
1103 |
},
|
1104 |
{
|
1105 |
"epoch": 4.864,
|
1106 |
-
"grad_norm":
|
1107 |
"learning_rate": 2.8490028490028492e-05,
|
1108 |
-
"loss": 0.
|
1109 |
"step": 1520
|
1110 |
},
|
1111 |
{
|
1112 |
"epoch": 4.896,
|
1113 |
-
"grad_norm":
|
1114 |
"learning_rate": 2.8311965811965814e-05,
|
1115 |
-
"loss": 0.
|
1116 |
"step": 1530
|
1117 |
},
|
1118 |
{
|
1119 |
"epoch": 4.928,
|
1120 |
-
"grad_norm":
|
1121 |
"learning_rate": 2.8133903133903132e-05,
|
1122 |
-
"loss": 0.
|
1123 |
"step": 1540
|
1124 |
},
|
1125 |
{
|
1126 |
"epoch": 4.96,
|
1127 |
-
"grad_norm":
|
1128 |
"learning_rate": 2.795584045584046e-05,
|
1129 |
-
"loss": 0.
|
1130 |
"step": 1550
|
1131 |
},
|
1132 |
{
|
1133 |
"epoch": 4.992,
|
1134 |
-
"grad_norm": 15.
|
1135 |
"learning_rate": 2.777777777777778e-05,
|
1136 |
-
"loss": 0.
|
1137 |
"step": 1560
|
1138 |
},
|
1139 |
{
|
1140 |
"epoch": 4.9984,
|
1141 |
-
"eval_accuracy": 0.
|
1142 |
-
"eval_loss": 0.
|
1143 |
-
"eval_runtime":
|
1144 |
-
"eval_samples_per_second":
|
1145 |
-
"eval_steps_per_second": 2.
|
1146 |
"step": 1562
|
1147 |
},
|
1148 |
{
|
1149 |
"epoch": 5.024,
|
1150 |
-
"grad_norm":
|
1151 |
"learning_rate": 2.75997150997151e-05,
|
1152 |
-
"loss": 0.
|
1153 |
"step": 1570
|
1154 |
},
|
1155 |
{
|
1156 |
"epoch": 5.056,
|
1157 |
-
"grad_norm":
|
1158 |
"learning_rate": 2.7421652421652423e-05,
|
1159 |
-
"loss": 0.
|
1160 |
"step": 1580
|
1161 |
},
|
1162 |
{
|
1163 |
"epoch": 5.088,
|
1164 |
-
"grad_norm":
|
1165 |
"learning_rate": 2.724358974358974e-05,
|
1166 |
-
"loss": 0.
|
1167 |
"step": 1590
|
1168 |
},
|
1169 |
{
|
1170 |
"epoch": 5.12,
|
1171 |
-
"grad_norm":
|
1172 |
"learning_rate": 2.706552706552707e-05,
|
1173 |
-
"loss": 0.
|
1174 |
"step": 1600
|
1175 |
},
|
1176 |
{
|
1177 |
"epoch": 5.152,
|
1178 |
-
"grad_norm":
|
1179 |
"learning_rate": 2.688746438746439e-05,
|
1180 |
-
"loss": 0.
|
1181 |
"step": 1610
|
1182 |
},
|
1183 |
{
|
1184 |
"epoch": 5.184,
|
1185 |
-
"grad_norm":
|
1186 |
"learning_rate": 2.670940170940171e-05,
|
1187 |
-
"loss": 0.
|
1188 |
"step": 1620
|
1189 |
},
|
1190 |
{
|
1191 |
"epoch": 5.216,
|
1192 |
-
"grad_norm":
|
1193 |
"learning_rate": 2.653133903133903e-05,
|
1194 |
-
"loss": 0.
|
1195 |
"step": 1630
|
1196 |
},
|
1197 |
{
|
1198 |
"epoch": 5.248,
|
1199 |
-
"grad_norm":
|
1200 |
"learning_rate": 2.6353276353276356e-05,
|
1201 |
-
"loss": 0.
|
1202 |
"step": 1640
|
1203 |
},
|
1204 |
{
|
1205 |
"epoch": 5.28,
|
1206 |
-
"grad_norm":
|
1207 |
"learning_rate": 2.6175213675213678e-05,
|
1208 |
-
"loss": 0.
|
1209 |
"step": 1650
|
1210 |
},
|
1211 |
{
|
1212 |
"epoch": 5.312,
|
1213 |
-
"grad_norm":
|
1214 |
"learning_rate": 2.5997150997151e-05,
|
1215 |
-
"loss": 0.
|
1216 |
"step": 1660
|
1217 |
},
|
1218 |
{
|
1219 |
"epoch": 5.344,
|
1220 |
-
"grad_norm":
|
1221 |
"learning_rate": 2.5819088319088318e-05,
|
1222 |
-
"loss": 0.
|
1223 |
"step": 1670
|
1224 |
},
|
1225 |
{
|
1226 |
"epoch": 5.376,
|
1227 |
-
"grad_norm": 9.
|
1228 |
"learning_rate": 2.564102564102564e-05,
|
1229 |
-
"loss": 0.
|
1230 |
"step": 1680
|
1231 |
},
|
1232 |
{
|
1233 |
"epoch": 5.408,
|
1234 |
-
"grad_norm":
|
1235 |
"learning_rate": 2.5462962962962965e-05,
|
1236 |
-
"loss": 0.
|
1237 |
"step": 1690
|
1238 |
},
|
1239 |
{
|
1240 |
"epoch": 5.44,
|
1241 |
-
"grad_norm":
|
1242 |
"learning_rate": 2.5284900284900286e-05,
|
1243 |
-
"loss": 0.
|
1244 |
"step": 1700
|
1245 |
},
|
1246 |
{
|
1247 |
"epoch": 5.4719999999999995,
|
1248 |
-
"grad_norm":
|
1249 |
"learning_rate": 2.5106837606837608e-05,
|
1250 |
-
"loss": 0.
|
1251 |
"step": 1710
|
1252 |
},
|
1253 |
{
|
1254 |
"epoch": 5.504,
|
1255 |
-
"grad_norm":
|
1256 |
"learning_rate": 2.492877492877493e-05,
|
1257 |
-
"loss": 0.
|
1258 |
"step": 1720
|
1259 |
},
|
1260 |
{
|
1261 |
"epoch": 5.536,
|
1262 |
-
"grad_norm":
|
1263 |
"learning_rate": 2.475071225071225e-05,
|
1264 |
-
"loss": 0.
|
1265 |
"step": 1730
|
1266 |
},
|
1267 |
{
|
1268 |
"epoch": 5.568,
|
1269 |
-
"grad_norm":
|
1270 |
"learning_rate": 2.4572649572649573e-05,
|
1271 |
-
"loss": 0.
|
1272 |
"step": 1740
|
1273 |
},
|
1274 |
{
|
1275 |
"epoch": 5.6,
|
1276 |
-
"grad_norm":
|
1277 |
"learning_rate": 2.4394586894586895e-05,
|
1278 |
-
"loss": 0.
|
1279 |
"step": 1750
|
1280 |
},
|
1281 |
{
|
1282 |
"epoch": 5.632,
|
1283 |
-
"grad_norm":
|
1284 |
"learning_rate": 2.4216524216524217e-05,
|
1285 |
-
"loss": 0.
|
1286 |
"step": 1760
|
1287 |
},
|
1288 |
{
|
1289 |
"epoch": 5.664,
|
1290 |
-
"grad_norm":
|
1291 |
"learning_rate": 2.4038461538461542e-05,
|
1292 |
-
"loss": 0.
|
1293 |
"step": 1770
|
1294 |
},
|
1295 |
{
|
1296 |
"epoch": 5.696,
|
1297 |
-
"grad_norm":
|
1298 |
"learning_rate": 2.386039886039886e-05,
|
1299 |
-
"loss": 0.
|
1300 |
"step": 1780
|
1301 |
},
|
1302 |
{
|
1303 |
"epoch": 5.728,
|
1304 |
-
"grad_norm": 6.
|
1305 |
"learning_rate": 2.3682336182336185e-05,
|
1306 |
-
"loss": 0.
|
1307 |
"step": 1790
|
1308 |
},
|
1309 |
{
|
1310 |
"epoch": 5.76,
|
1311 |
-
"grad_norm":
|
1312 |
"learning_rate": 2.3504273504273504e-05,
|
1313 |
-
"loss": 0.
|
1314 |
"step": 1800
|
1315 |
},
|
1316 |
{
|
1317 |
"epoch": 5.792,
|
1318 |
-
"grad_norm":
|
1319 |
"learning_rate": 2.332621082621083e-05,
|
1320 |
-
"loss": 0.
|
1321 |
"step": 1810
|
1322 |
},
|
1323 |
{
|
1324 |
"epoch": 5.824,
|
1325 |
-
"grad_norm":
|
1326 |
"learning_rate": 2.314814814814815e-05,
|
1327 |
-
"loss": 0.
|
1328 |
"step": 1820
|
1329 |
},
|
1330 |
{
|
1331 |
"epoch": 5.856,
|
1332 |
-
"grad_norm":
|
1333 |
"learning_rate": 2.297008547008547e-05,
|
1334 |
-
"loss": 0.
|
1335 |
"step": 1830
|
1336 |
},
|
1337 |
{
|
1338 |
"epoch": 5.888,
|
1339 |
-
"grad_norm":
|
1340 |
"learning_rate": 2.2792022792022794e-05,
|
1341 |
-
"loss": 0.
|
1342 |
"step": 1840
|
1343 |
},
|
1344 |
{
|
1345 |
"epoch": 5.92,
|
1346 |
-
"grad_norm":
|
1347 |
"learning_rate": 2.2613960113960116e-05,
|
1348 |
-
"loss": 0.
|
1349 |
"step": 1850
|
1350 |
},
|
1351 |
{
|
1352 |
"epoch": 5.952,
|
1353 |
-
"grad_norm":
|
1354 |
"learning_rate": 2.2435897435897437e-05,
|
1355 |
-
"loss": 0.
|
1356 |
"step": 1860
|
1357 |
},
|
1358 |
{
|
1359 |
"epoch": 5.984,
|
1360 |
-
"grad_norm":
|
1361 |
"learning_rate": 2.225783475783476e-05,
|
1362 |
-
"loss": 0.
|
1363 |
"step": 1870
|
1364 |
},
|
1365 |
{
|
1366 |
"epoch": 6.0,
|
1367 |
-
"eval_accuracy": 0.
|
1368 |
-
"eval_loss": 0.
|
1369 |
-
"eval_runtime":
|
1370 |
-
"eval_samples_per_second":
|
1371 |
-
"eval_steps_per_second":
|
1372 |
"step": 1875
|
1373 |
},
|
1374 |
{
|
1375 |
"epoch": 6.016,
|
1376 |
-
"grad_norm":
|
1377 |
"learning_rate": 2.207977207977208e-05,
|
1378 |
-
"loss": 0.
|
1379 |
"step": 1880
|
1380 |
},
|
1381 |
{
|
1382 |
"epoch": 6.048,
|
1383 |
-
"grad_norm":
|
1384 |
"learning_rate": 2.1901709401709402e-05,
|
1385 |
-
"loss": 0.
|
1386 |
"step": 1890
|
1387 |
},
|
1388 |
{
|
1389 |
"epoch": 6.08,
|
1390 |
-
"grad_norm":
|
1391 |
"learning_rate": 2.1723646723646724e-05,
|
1392 |
-
"loss": 0.
|
1393 |
"step": 1900
|
1394 |
},
|
1395 |
{
|
1396 |
"epoch": 6.112,
|
1397 |
-
"grad_norm":
|
1398 |
"learning_rate": 2.1545584045584046e-05,
|
1399 |
-
"loss": 0.
|
1400 |
"step": 1910
|
1401 |
},
|
1402 |
{
|
1403 |
"epoch": 6.144,
|
1404 |
-
"grad_norm":
|
1405 |
"learning_rate": 2.1367521367521368e-05,
|
1406 |
-
"loss": 0.
|
1407 |
"step": 1920
|
1408 |
},
|
1409 |
{
|
1410 |
"epoch": 6.176,
|
1411 |
-
"grad_norm":
|
1412 |
"learning_rate": 2.1189458689458693e-05,
|
1413 |
-
"loss": 0.
|
1414 |
"step": 1930
|
1415 |
},
|
1416 |
{
|
1417 |
"epoch": 6.208,
|
1418 |
-
"grad_norm":
|
1419 |
"learning_rate": 2.101139601139601e-05,
|
1420 |
-
"loss": 0.
|
1421 |
"step": 1940
|
1422 |
},
|
1423 |
{
|
1424 |
"epoch": 6.24,
|
1425 |
-
"grad_norm":
|
1426 |
"learning_rate": 2.0833333333333336e-05,
|
1427 |
-
"loss": 0.
|
1428 |
"step": 1950
|
1429 |
},
|
1430 |
{
|
1431 |
"epoch": 6.272,
|
1432 |
-
"grad_norm":
|
1433 |
"learning_rate": 2.0655270655270654e-05,
|
1434 |
-
"loss": 0.
|
1435 |
"step": 1960
|
1436 |
},
|
1437 |
{
|
1438 |
"epoch": 6.304,
|
1439 |
-
"grad_norm":
|
1440 |
"learning_rate": 2.047720797720798e-05,
|
1441 |
-
"loss": 0.
|
1442 |
"step": 1970
|
1443 |
},
|
1444 |
{
|
1445 |
"epoch": 6.336,
|
1446 |
-
"grad_norm":
|
1447 |
"learning_rate": 2.02991452991453e-05,
|
1448 |
-
"loss": 0.
|
1449 |
"step": 1980
|
1450 |
},
|
1451 |
{
|
1452 |
"epoch": 6.368,
|
1453 |
-
"grad_norm":
|
1454 |
"learning_rate": 2.012108262108262e-05,
|
1455 |
-
"loss": 0.
|
1456 |
"step": 1990
|
1457 |
},
|
1458 |
{
|
1459 |
"epoch": 6.4,
|
1460 |
-
"grad_norm":
|
1461 |
"learning_rate": 1.9943019943019945e-05,
|
1462 |
-
"loss": 0.
|
1463 |
"step": 2000
|
1464 |
},
|
1465 |
{
|
1466 |
"epoch": 6.432,
|
1467 |
-
"grad_norm":
|
1468 |
"learning_rate": 1.9764957264957266e-05,
|
1469 |
-
"loss": 0.
|
1470 |
"step": 2010
|
1471 |
},
|
1472 |
{
|
1473 |
"epoch": 6.464,
|
1474 |
-
"grad_norm":
|
1475 |
"learning_rate": 1.9586894586894588e-05,
|
1476 |
-
"loss": 0.
|
1477 |
"step": 2020
|
1478 |
},
|
1479 |
{
|
1480 |
"epoch": 6.496,
|
1481 |
-
"grad_norm":
|
1482 |
"learning_rate": 1.940883190883191e-05,
|
1483 |
-
"loss": 0.
|
1484 |
"step": 2030
|
1485 |
},
|
1486 |
{
|
1487 |
"epoch": 6.5280000000000005,
|
1488 |
-
"grad_norm":
|
1489 |
"learning_rate": 1.923076923076923e-05,
|
1490 |
-
"loss": 0.
|
1491 |
"step": 2040
|
1492 |
},
|
1493 |
{
|
1494 |
"epoch": 6.5600000000000005,
|
1495 |
-
"grad_norm":
|
1496 |
"learning_rate": 1.9052706552706553e-05,
|
1497 |
-
"loss": 0.
|
1498 |
"step": 2050
|
1499 |
},
|
1500 |
{
|
1501 |
"epoch": 6.592,
|
1502 |
-
"grad_norm":
|
1503 |
"learning_rate": 1.8874643874643875e-05,
|
1504 |
-
"loss": 0.
|
1505 |
"step": 2060
|
1506 |
},
|
1507 |
{
|
1508 |
"epoch": 6.624,
|
1509 |
-
"grad_norm":
|
1510 |
"learning_rate": 1.8696581196581197e-05,
|
1511 |
-
"loss": 0.
|
1512 |
"step": 2070
|
1513 |
},
|
1514 |
{
|
1515 |
"epoch": 6.656,
|
1516 |
-
"grad_norm":
|
1517 |
"learning_rate": 1.8518518518518518e-05,
|
1518 |
-
"loss": 0.
|
1519 |
"step": 2080
|
1520 |
},
|
1521 |
{
|
1522 |
"epoch": 6.688,
|
1523 |
-
"grad_norm":
|
1524 |
"learning_rate": 1.8340455840455843e-05,
|
1525 |
-
"loss": 0.
|
1526 |
"step": 2090
|
1527 |
},
|
1528 |
{
|
1529 |
"epoch": 6.72,
|
1530 |
-
"grad_norm":
|
1531 |
"learning_rate": 1.8162393162393162e-05,
|
1532 |
-
"loss": 0.
|
1533 |
"step": 2100
|
1534 |
},
|
1535 |
{
|
1536 |
"epoch": 6.752,
|
1537 |
-
"grad_norm":
|
1538 |
"learning_rate": 1.7984330484330487e-05,
|
1539 |
-
"loss": 0.
|
1540 |
"step": 2110
|
1541 |
},
|
1542 |
{
|
1543 |
"epoch": 6.784,
|
1544 |
-
"grad_norm":
|
1545 |
"learning_rate": 1.7806267806267805e-05,
|
1546 |
-
"loss": 0.
|
1547 |
"step": 2120
|
1548 |
},
|
1549 |
{
|
1550 |
"epoch": 6.816,
|
1551 |
-
"grad_norm": 8.
|
1552 |
"learning_rate": 1.762820512820513e-05,
|
1553 |
-
"loss": 0.
|
1554 |
"step": 2130
|
1555 |
},
|
1556 |
{
|
1557 |
"epoch": 6.848,
|
1558 |
-
"grad_norm":
|
1559 |
"learning_rate": 1.7450142450142452e-05,
|
1560 |
-
"loss": 0.
|
1561 |
"step": 2140
|
1562 |
},
|
1563 |
{
|
1564 |
"epoch": 6.88,
|
1565 |
-
"grad_norm":
|
1566 |
"learning_rate": 1.727207977207977e-05,
|
1567 |
-
"loss": 0.
|
1568 |
"step": 2150
|
1569 |
},
|
1570 |
{
|
1571 |
"epoch": 6.912,
|
1572 |
-
"grad_norm":
|
1573 |
"learning_rate": 1.7094017094017095e-05,
|
1574 |
-
"loss": 0.
|
1575 |
"step": 2160
|
1576 |
},
|
1577 |
{
|
1578 |
"epoch": 6.944,
|
1579 |
-
"grad_norm":
|
1580 |
"learning_rate": 1.6915954415954417e-05,
|
1581 |
-
"loss": 0.
|
1582 |
"step": 2170
|
1583 |
},
|
1584 |
{
|
1585 |
"epoch": 6.976,
|
1586 |
-
"grad_norm":
|
1587 |
"learning_rate": 1.673789173789174e-05,
|
1588 |
-
"loss": 0.
|
1589 |
"step": 2180
|
1590 |
},
|
1591 |
{
|
1592 |
"epoch": 6.9984,
|
1593 |
-
"eval_accuracy": 0.
|
1594 |
-
"eval_loss": 0.
|
1595 |
-
"eval_runtime":
|
1596 |
-
"eval_samples_per_second":
|
1597 |
-
"eval_steps_per_second": 2.
|
1598 |
"step": 2187
|
1599 |
},
|
1600 |
{
|
1601 |
"epoch": 7.008,
|
1602 |
-
"grad_norm":
|
1603 |
"learning_rate": 1.655982905982906e-05,
|
1604 |
-
"loss": 0.
|
1605 |
"step": 2190
|
1606 |
},
|
1607 |
{
|
1608 |
"epoch": 7.04,
|
1609 |
-
"grad_norm":
|
1610 |
"learning_rate": 1.6381766381766382e-05,
|
1611 |
-
"loss": 0.
|
1612 |
"step": 2200
|
1613 |
},
|
1614 |
{
|
1615 |
"epoch": 7.072,
|
1616 |
-
"grad_norm":
|
1617 |
"learning_rate": 1.6203703703703704e-05,
|
1618 |
-
"loss": 0.
|
1619 |
"step": 2210
|
1620 |
},
|
1621 |
{
|
1622 |
"epoch": 7.104,
|
1623 |
-
"grad_norm":
|
1624 |
"learning_rate": 1.602564102564103e-05,
|
1625 |
-
"loss": 0.
|
1626 |
"step": 2220
|
1627 |
},
|
1628 |
{
|
1629 |
"epoch": 7.136,
|
1630 |
-
"grad_norm":
|
1631 |
"learning_rate": 1.5847578347578347e-05,
|
1632 |
-
"loss": 0.
|
1633 |
"step": 2230
|
1634 |
},
|
1635 |
{
|
1636 |
"epoch": 7.168,
|
1637 |
-
"grad_norm":
|
1638 |
"learning_rate": 1.566951566951567e-05,
|
1639 |
-
"loss": 0.
|
1640 |
"step": 2240
|
1641 |
},
|
1642 |
{
|
1643 |
"epoch": 7.2,
|
1644 |
-
"grad_norm":
|
1645 |
"learning_rate": 1.5491452991452994e-05,
|
1646 |
-
"loss": 0.
|
1647 |
"step": 2250
|
1648 |
},
|
1649 |
{
|
1650 |
"epoch": 7.232,
|
1651 |
-
"grad_norm":
|
1652 |
"learning_rate": 1.5313390313390312e-05,
|
1653 |
-
"loss": 0.
|
1654 |
"step": 2260
|
1655 |
},
|
1656 |
{
|
1657 |
"epoch": 7.264,
|
1658 |
-
"grad_norm":
|
1659 |
"learning_rate": 1.5135327635327638e-05,
|
1660 |
-
"loss": 0.
|
1661 |
"step": 2270
|
1662 |
},
|
1663 |
{
|
1664 |
"epoch": 7.296,
|
1665 |
-
"grad_norm":
|
1666 |
"learning_rate": 1.4957264957264958e-05,
|
1667 |
-
"loss": 0.
|
1668 |
"step": 2280
|
1669 |
},
|
1670 |
{
|
1671 |
"epoch": 7.328,
|
1672 |
-
"grad_norm":
|
1673 |
"learning_rate": 1.4779202279202281e-05,
|
1674 |
-
"loss": 0.
|
1675 |
"step": 2290
|
1676 |
},
|
1677 |
{
|
1678 |
"epoch": 7.36,
|
1679 |
-
"grad_norm":
|
1680 |
"learning_rate": 1.4601139601139601e-05,
|
1681 |
-
"loss": 0.
|
1682 |
"step": 2300
|
1683 |
},
|
1684 |
{
|
1685 |
"epoch": 7.392,
|
1686 |
-
"grad_norm":
|
1687 |
"learning_rate": 1.4423076923076923e-05,
|
1688 |
-
"loss": 0.
|
1689 |
"step": 2310
|
1690 |
},
|
1691 |
{
|
1692 |
"epoch": 7.424,
|
1693 |
-
"grad_norm":
|
1694 |
"learning_rate": 1.4245014245014246e-05,
|
1695 |
-
"loss": 0.
|
1696 |
"step": 2320
|
1697 |
},
|
1698 |
{
|
1699 |
"epoch": 7.456,
|
1700 |
-
"grad_norm":
|
1701 |
"learning_rate": 1.4066951566951566e-05,
|
1702 |
-
"loss": 0.
|
1703 |
"step": 2330
|
1704 |
},
|
1705 |
{
|
1706 |
"epoch": 7.4879999999999995,
|
1707 |
-
"grad_norm":
|
1708 |
"learning_rate": 1.388888888888889e-05,
|
1709 |
-
"loss": 0.
|
1710 |
"step": 2340
|
1711 |
},
|
1712 |
{
|
1713 |
"epoch": 7.52,
|
1714 |
-
"grad_norm":
|
1715 |
"learning_rate": 1.3710826210826211e-05,
|
1716 |
-
"loss": 0.
|
1717 |
"step": 2350
|
1718 |
},
|
1719 |
{
|
1720 |
"epoch": 7.552,
|
1721 |
-
"grad_norm": 12.
|
1722 |
"learning_rate": 1.3532763532763535e-05,
|
1723 |
-
"loss": 0.
|
1724 |
"step": 2360
|
1725 |
},
|
1726 |
{
|
1727 |
"epoch": 7.584,
|
1728 |
-
"grad_norm":
|
1729 |
"learning_rate": 1.3354700854700855e-05,
|
1730 |
-
"loss": 0.
|
1731 |
"step": 2370
|
1732 |
},
|
1733 |
{
|
1734 |
"epoch": 7.616,
|
1735 |
-
"grad_norm":
|
1736 |
"learning_rate": 1.3176638176638178e-05,
|
1737 |
-
"loss": 0.
|
1738 |
"step": 2380
|
1739 |
},
|
1740 |
{
|
1741 |
"epoch": 7.648,
|
1742 |
-
"grad_norm":
|
1743 |
"learning_rate": 1.29985754985755e-05,
|
1744 |
-
"loss": 0.
|
1745 |
"step": 2390
|
1746 |
},
|
1747 |
{
|
1748 |
"epoch": 7.68,
|
1749 |
-
"grad_norm":
|
1750 |
"learning_rate": 1.282051282051282e-05,
|
1751 |
-
"loss": 0.
|
1752 |
"step": 2400
|
1753 |
},
|
1754 |
{
|
1755 |
"epoch": 7.712,
|
1756 |
-
"grad_norm": 15.
|
1757 |
"learning_rate": 1.2642450142450143e-05,
|
1758 |
-
"loss": 0.
|
1759 |
"step": 2410
|
1760 |
},
|
1761 |
{
|
1762 |
"epoch": 7.744,
|
1763 |
-
"grad_norm":
|
1764 |
"learning_rate": 1.2464387464387465e-05,
|
1765 |
-
"loss": 0.
|
1766 |
"step": 2420
|
1767 |
},
|
1768 |
{
|
1769 |
"epoch": 7.776,
|
1770 |
-
"grad_norm":
|
1771 |
"learning_rate": 1.2286324786324787e-05,
|
1772 |
-
"loss": 0.
|
1773 |
"step": 2430
|
1774 |
},
|
1775 |
{
|
1776 |
"epoch": 7.808,
|
1777 |
-
"grad_norm":
|
1778 |
"learning_rate": 1.2108262108262108e-05,
|
1779 |
-
"loss": 0.
|
1780 |
"step": 2440
|
1781 |
},
|
1782 |
{
|
1783 |
"epoch": 7.84,
|
1784 |
-
"grad_norm": 3.
|
1785 |
"learning_rate": 1.193019943019943e-05,
|
1786 |
-
"loss": 0.
|
1787 |
"step": 2450
|
1788 |
},
|
1789 |
{
|
1790 |
"epoch": 7.872,
|
1791 |
-
"grad_norm":
|
1792 |
"learning_rate": 1.1752136752136752e-05,
|
1793 |
-
"loss": 0.
|
1794 |
"step": 2460
|
1795 |
},
|
1796 |
{
|
1797 |
"epoch": 7.904,
|
1798 |
-
"grad_norm":
|
1799 |
"learning_rate": 1.1574074074074075e-05,
|
1800 |
-
"loss": 0.
|
1801 |
"step": 2470
|
1802 |
},
|
1803 |
{
|
1804 |
"epoch": 7.936,
|
1805 |
-
"grad_norm":
|
1806 |
"learning_rate": 1.1396011396011397e-05,
|
1807 |
-
"loss": 0.
|
1808 |
"step": 2480
|
1809 |
},
|
1810 |
{
|
1811 |
"epoch": 7.968,
|
1812 |
-
"grad_norm":
|
1813 |
"learning_rate": 1.1217948717948719e-05,
|
1814 |
-
"loss": 0.
|
1815 |
"step": 2490
|
1816 |
},
|
1817 |
{
|
1818 |
"epoch": 8.0,
|
1819 |
-
"grad_norm":
|
1820 |
"learning_rate": 1.103988603988604e-05,
|
1821 |
-
"loss": 0.
|
1822 |
"step": 2500
|
1823 |
},
|
1824 |
{
|
1825 |
"epoch": 8.0,
|
1826 |
-
"eval_accuracy": 0.
|
1827 |
-
"eval_loss": 0.
|
1828 |
-
"eval_runtime":
|
1829 |
-
"eval_samples_per_second":
|
1830 |
-
"eval_steps_per_second": 2.
|
1831 |
"step": 2500
|
1832 |
},
|
1833 |
{
|
1834 |
"epoch": 8.032,
|
1835 |
-
"grad_norm":
|
1836 |
"learning_rate": 1.0861823361823362e-05,
|
1837 |
-
"loss": 0.
|
1838 |
"step": 2510
|
1839 |
},
|
1840 |
{
|
1841 |
"epoch": 8.064,
|
1842 |
-
"grad_norm":
|
1843 |
"learning_rate": 1.0683760683760684e-05,
|
1844 |
-
"loss": 0.
|
1845 |
"step": 2520
|
1846 |
},
|
1847 |
{
|
1848 |
"epoch": 8.096,
|
1849 |
-
"grad_norm":
|
1850 |
"learning_rate": 1.0505698005698005e-05,
|
1851 |
-
"loss": 0.
|
1852 |
"step": 2530
|
1853 |
},
|
1854 |
{
|
1855 |
"epoch": 8.128,
|
1856 |
-
"grad_norm":
|
1857 |
"learning_rate": 1.0327635327635327e-05,
|
1858 |
-
"loss": 0.
|
1859 |
"step": 2540
|
1860 |
},
|
1861 |
{
|
1862 |
"epoch": 8.16,
|
1863 |
-
"grad_norm":
|
1864 |
"learning_rate": 1.014957264957265e-05,
|
1865 |
-
"loss": 0.
|
1866 |
"step": 2550
|
1867 |
},
|
1868 |
{
|
1869 |
"epoch": 8.192,
|
1870 |
-
"grad_norm":
|
1871 |
"learning_rate": 9.971509971509972e-06,
|
1872 |
-
"loss": 0.
|
1873 |
"step": 2560
|
1874 |
},
|
1875 |
{
|
1876 |
"epoch": 8.224,
|
1877 |
-
"grad_norm":
|
1878 |
"learning_rate": 9.793447293447294e-06,
|
1879 |
-
"loss": 0.
|
1880 |
"step": 2570
|
1881 |
},
|
1882 |
{
|
1883 |
"epoch": 8.256,
|
1884 |
-
"grad_norm":
|
1885 |
"learning_rate": 9.615384615384616e-06,
|
1886 |
-
"loss": 0.
|
1887 |
"step": 2580
|
1888 |
},
|
1889 |
{
|
1890 |
"epoch": 8.288,
|
1891 |
-
"grad_norm":
|
1892 |
"learning_rate": 9.437321937321937e-06,
|
1893 |
-
"loss": 0.
|
1894 |
"step": 2590
|
1895 |
},
|
1896 |
{
|
1897 |
"epoch": 8.32,
|
1898 |
-
"grad_norm":
|
1899 |
"learning_rate": 9.259259259259259e-06,
|
1900 |
-
"loss": 0.
|
1901 |
"step": 2600
|
1902 |
},
|
1903 |
{
|
1904 |
"epoch": 8.352,
|
1905 |
-
"grad_norm": 10.
|
1906 |
"learning_rate": 9.081196581196581e-06,
|
1907 |
-
"loss": 0.
|
1908 |
"step": 2610
|
1909 |
},
|
1910 |
{
|
1911 |
"epoch": 8.384,
|
1912 |
-
"grad_norm":
|
1913 |
"learning_rate": 8.903133903133903e-06,
|
1914 |
-
"loss": 0.
|
1915 |
"step": 2620
|
1916 |
},
|
1917 |
{
|
1918 |
"epoch": 8.416,
|
1919 |
-
"grad_norm":
|
1920 |
"learning_rate": 8.725071225071226e-06,
|
1921 |
-
"loss": 0.
|
1922 |
"step": 2630
|
1923 |
},
|
1924 |
{
|
1925 |
"epoch": 8.448,
|
1926 |
-
"grad_norm":
|
1927 |
"learning_rate": 8.547008547008548e-06,
|
1928 |
-
"loss": 0.
|
1929 |
"step": 2640
|
1930 |
},
|
1931 |
{
|
1932 |
"epoch": 8.48,
|
1933 |
-
"grad_norm":
|
1934 |
"learning_rate": 8.36894586894587e-06,
|
1935 |
-
"loss": 0.
|
1936 |
"step": 2650
|
1937 |
},
|
1938 |
{
|
1939 |
"epoch": 8.512,
|
1940 |
-
"grad_norm":
|
1941 |
"learning_rate": 8.190883190883191e-06,
|
1942 |
-
"loss": 0.
|
1943 |
"step": 2660
|
1944 |
},
|
1945 |
{
|
1946 |
"epoch": 8.544,
|
1947 |
-
"grad_norm":
|
1948 |
"learning_rate": 8.012820512820515e-06,
|
1949 |
-
"loss": 0.
|
1950 |
"step": 2670
|
1951 |
},
|
1952 |
{
|
1953 |
"epoch": 8.576,
|
1954 |
-
"grad_norm":
|
1955 |
"learning_rate": 7.834757834757835e-06,
|
1956 |
-
"loss": 0.
|
1957 |
"step": 2680
|
1958 |
},
|
1959 |
{
|
1960 |
"epoch": 8.608,
|
1961 |
-
"grad_norm":
|
1962 |
"learning_rate": 7.656695156695156e-06,
|
1963 |
-
"loss": 0.
|
1964 |
"step": 2690
|
1965 |
},
|
1966 |
{
|
1967 |
"epoch": 8.64,
|
1968 |
-
"grad_norm":
|
1969 |
"learning_rate": 7.478632478632479e-06,
|
1970 |
-
"loss": 0.
|
1971 |
"step": 2700
|
1972 |
},
|
1973 |
{
|
1974 |
"epoch": 8.672,
|
1975 |
-
"grad_norm":
|
1976 |
"learning_rate": 7.3005698005698005e-06,
|
1977 |
-
"loss": 0.
|
1978 |
"step": 2710
|
1979 |
},
|
1980 |
{
|
1981 |
"epoch": 8.704,
|
1982 |
-
"grad_norm":
|
1983 |
"learning_rate": 7.122507122507123e-06,
|
1984 |
-
"loss": 0.
|
1985 |
"step": 2720
|
1986 |
},
|
1987 |
{
|
1988 |
"epoch": 8.736,
|
1989 |
-
"grad_norm":
|
1990 |
"learning_rate": 6.944444444444445e-06,
|
1991 |
-
"loss": 0.
|
1992 |
"step": 2730
|
1993 |
},
|
1994 |
{
|
1995 |
"epoch": 8.768,
|
1996 |
-
"grad_norm":
|
1997 |
"learning_rate": 6.766381766381767e-06,
|
1998 |
-
"loss": 0.
|
1999 |
"step": 2740
|
2000 |
},
|
2001 |
{
|
2002 |
"epoch": 8.8,
|
2003 |
-
"grad_norm":
|
2004 |
"learning_rate": 6.588319088319089e-06,
|
2005 |
-
"loss": 0.
|
2006 |
"step": 2750
|
2007 |
},
|
2008 |
{
|
2009 |
"epoch": 8.832,
|
2010 |
-
"grad_norm":
|
2011 |
"learning_rate": 6.41025641025641e-06,
|
2012 |
-
"loss": 0.
|
2013 |
"step": 2760
|
2014 |
},
|
2015 |
{
|
2016 |
"epoch": 8.864,
|
2017 |
-
"grad_norm":
|
2018 |
"learning_rate": 6.2321937321937325e-06,
|
2019 |
-
"loss": 0.
|
2020 |
"step": 2770
|
2021 |
},
|
2022 |
{
|
2023 |
"epoch": 8.896,
|
2024 |
-
"grad_norm":
|
2025 |
"learning_rate": 6.054131054131054e-06,
|
2026 |
-
"loss": 0.
|
2027 |
"step": 2780
|
2028 |
},
|
2029 |
{
|
2030 |
"epoch": 8.928,
|
2031 |
-
"grad_norm":
|
2032 |
"learning_rate": 5.876068376068376e-06,
|
2033 |
-
"loss": 0.
|
2034 |
"step": 2790
|
2035 |
},
|
2036 |
{
|
2037 |
"epoch": 8.96,
|
2038 |
-
"grad_norm":
|
2039 |
"learning_rate": 5.6980056980056985e-06,
|
2040 |
-
"loss": 0.
|
2041 |
"step": 2800
|
2042 |
},
|
2043 |
{
|
2044 |
"epoch": 8.992,
|
2045 |
-
"grad_norm":
|
2046 |
"learning_rate": 5.51994301994302e-06,
|
2047 |
-
"loss": 0.
|
2048 |
"step": 2810
|
2049 |
},
|
2050 |
{
|
2051 |
"epoch": 8.9984,
|
2052 |
-
"eval_accuracy": 0.
|
2053 |
-
"eval_loss": 0.
|
2054 |
-
"eval_runtime":
|
2055 |
-
"eval_samples_per_second":
|
2056 |
-
"eval_steps_per_second": 2.
|
2057 |
"step": 2812
|
2058 |
},
|
2059 |
{
|
2060 |
"epoch": 9.024,
|
2061 |
-
"grad_norm":
|
2062 |
"learning_rate": 5.341880341880342e-06,
|
2063 |
-
"loss": 0.
|
2064 |
"step": 2820
|
2065 |
},
|
2066 |
{
|
2067 |
"epoch": 9.056,
|
2068 |
-
"grad_norm":
|
2069 |
"learning_rate": 5.163817663817664e-06,
|
2070 |
-
"loss": 0.
|
2071 |
"step": 2830
|
2072 |
},
|
2073 |
{
|
2074 |
"epoch": 9.088,
|
2075 |
-
"grad_norm":
|
2076 |
"learning_rate": 4.985754985754986e-06,
|
2077 |
-
"loss": 0.
|
2078 |
"step": 2840
|
2079 |
},
|
2080 |
{
|
2081 |
"epoch": 9.12,
|
2082 |
-
"grad_norm":
|
2083 |
"learning_rate": 4.807692307692308e-06,
|
2084 |
-
"loss": 0.
|
2085 |
"step": 2850
|
2086 |
},
|
2087 |
{
|
2088 |
"epoch": 9.152,
|
2089 |
-
"grad_norm":
|
2090 |
"learning_rate": 4.6296296296296296e-06,
|
2091 |
-
"loss": 0.
|
2092 |
"step": 2860
|
2093 |
},
|
2094 |
{
|
2095 |
"epoch": 9.184,
|
2096 |
-
"grad_norm":
|
2097 |
"learning_rate": 4.451566951566951e-06,
|
2098 |
-
"loss": 0.
|
2099 |
"step": 2870
|
2100 |
},
|
2101 |
{
|
2102 |
"epoch": 9.216,
|
2103 |
-
"grad_norm":
|
2104 |
"learning_rate": 4.273504273504274e-06,
|
2105 |
-
"loss": 0.
|
2106 |
"step": 2880
|
2107 |
},
|
2108 |
{
|
2109 |
"epoch": 9.248,
|
2110 |
-
"grad_norm":
|
2111 |
"learning_rate": 4.0954415954415956e-06,
|
2112 |
-
"loss": 0.
|
2113 |
"step": 2890
|
2114 |
},
|
2115 |
{
|
2116 |
"epoch": 9.28,
|
2117 |
-
"grad_norm":
|
2118 |
"learning_rate": 3.917378917378917e-06,
|
2119 |
-
"loss": 0.
|
2120 |
"step": 2900
|
2121 |
},
|
2122 |
{
|
2123 |
"epoch": 9.312,
|
2124 |
-
"grad_norm":
|
2125 |
"learning_rate": 3.7393162393162394e-06,
|
2126 |
-
"loss": 0.
|
2127 |
"step": 2910
|
2128 |
},
|
2129 |
{
|
2130 |
"epoch": 9.344,
|
2131 |
-
"grad_norm":
|
2132 |
"learning_rate": 3.5612535612535615e-06,
|
2133 |
-
"loss": 0.
|
2134 |
"step": 2920
|
2135 |
},
|
2136 |
{
|
2137 |
"epoch": 9.376,
|
2138 |
-
"grad_norm":
|
2139 |
"learning_rate": 3.3831908831908837e-06,
|
2140 |
-
"loss": 0.
|
2141 |
"step": 2930
|
2142 |
},
|
2143 |
{
|
2144 |
"epoch": 9.408,
|
2145 |
-
"grad_norm":
|
2146 |
"learning_rate": 3.205128205128205e-06,
|
2147 |
-
"loss": 0.
|
2148 |
"step": 2940
|
2149 |
},
|
2150 |
{
|
2151 |
"epoch": 9.44,
|
2152 |
-
"grad_norm":
|
2153 |
"learning_rate": 3.027065527065527e-06,
|
2154 |
-
"loss": 0.
|
2155 |
"step": 2950
|
2156 |
},
|
2157 |
{
|
2158 |
"epoch": 9.472,
|
2159 |
-
"grad_norm": 8.
|
2160 |
"learning_rate": 2.8490028490028492e-06,
|
2161 |
-
"loss": 0.
|
2162 |
"step": 2960
|
2163 |
},
|
2164 |
{
|
2165 |
"epoch": 9.504,
|
2166 |
-
"grad_norm":
|
2167 |
"learning_rate": 2.670940170940171e-06,
|
2168 |
-
"loss": 0.
|
2169 |
"step": 2970
|
2170 |
},
|
2171 |
{
|
2172 |
"epoch": 9.536,
|
2173 |
-
"grad_norm":
|
2174 |
"learning_rate": 2.492877492877493e-06,
|
2175 |
-
"loss": 0.
|
2176 |
"step": 2980
|
2177 |
},
|
2178 |
{
|
2179 |
"epoch": 9.568,
|
2180 |
-
"grad_norm":
|
2181 |
"learning_rate": 2.3148148148148148e-06,
|
2182 |
-
"loss": 0.
|
2183 |
"step": 2990
|
2184 |
},
|
2185 |
{
|
2186 |
"epoch": 9.6,
|
2187 |
-
"grad_norm":
|
2188 |
"learning_rate": 2.136752136752137e-06,
|
2189 |
-
"loss": 0.
|
2190 |
"step": 3000
|
2191 |
},
|
2192 |
{
|
2193 |
"epoch": 9.632,
|
2194 |
-
"grad_norm":
|
2195 |
"learning_rate": 1.9586894586894586e-06,
|
2196 |
-
"loss": 0.
|
2197 |
"step": 3010
|
2198 |
},
|
2199 |
{
|
2200 |
"epoch": 9.664,
|
2201 |
-
"grad_norm":
|
2202 |
"learning_rate": 1.7806267806267808e-06,
|
2203 |
-
"loss": 0.
|
2204 |
"step": 3020
|
2205 |
},
|
2206 |
{
|
2207 |
"epoch": 9.696,
|
2208 |
-
"grad_norm": 7.
|
2209 |
"learning_rate": 1.6025641025641025e-06,
|
2210 |
-
"loss": 0.
|
2211 |
"step": 3030
|
2212 |
},
|
2213 |
{
|
2214 |
"epoch": 9.728,
|
2215 |
-
"grad_norm":
|
2216 |
"learning_rate": 1.4245014245014246e-06,
|
2217 |
-
"loss": 0.
|
2218 |
"step": 3040
|
2219 |
},
|
2220 |
{
|
2221 |
"epoch": 9.76,
|
2222 |
-
"grad_norm":
|
2223 |
"learning_rate": 1.2464387464387465e-06,
|
2224 |
-
"loss": 0.
|
2225 |
"step": 3050
|
2226 |
},
|
2227 |
{
|
2228 |
"epoch": 9.792,
|
2229 |
-
"grad_norm":
|
2230 |
"learning_rate": 1.0683760683760685e-06,
|
2231 |
-
"loss": 0.
|
2232 |
"step": 3060
|
2233 |
},
|
2234 |
{
|
2235 |
"epoch": 9.824,
|
2236 |
-
"grad_norm":
|
2237 |
"learning_rate": 8.903133903133904e-07,
|
2238 |
-
"loss": 0.
|
2239 |
"step": 3070
|
2240 |
},
|
2241 |
{
|
2242 |
"epoch": 9.856,
|
2243 |
-
"grad_norm":
|
2244 |
"learning_rate": 7.122507122507123e-07,
|
2245 |
-
"loss": 0.
|
2246 |
"step": 3080
|
2247 |
},
|
2248 |
{
|
2249 |
"epoch": 9.888,
|
2250 |
-
"grad_norm":
|
2251 |
"learning_rate": 5.341880341880342e-07,
|
2252 |
-
"loss": 0.
|
2253 |
"step": 3090
|
2254 |
},
|
2255 |
{
|
2256 |
"epoch": 9.92,
|
2257 |
-
"grad_norm":
|
2258 |
"learning_rate": 3.5612535612535615e-07,
|
2259 |
-
"loss": 0.
|
2260 |
"step": 3100
|
2261 |
},
|
2262 |
{
|
2263 |
"epoch": 9.952,
|
2264 |
-
"grad_norm":
|
2265 |
"learning_rate": 1.7806267806267808e-07,
|
2266 |
-
"loss": 0.
|
2267 |
"step": 3110
|
2268 |
},
|
2269 |
{
|
2270 |
"epoch": 9.984,
|
2271 |
-
"grad_norm":
|
2272 |
"learning_rate": 0.0,
|
2273 |
-
"loss": 0.
|
2274 |
"step": 3120
|
2275 |
},
|
2276 |
{
|
2277 |
"epoch": 9.984,
|
2278 |
-
"eval_accuracy": 0.
|
2279 |
-
"eval_loss": 0.
|
2280 |
-
"eval_runtime":
|
2281 |
-
"eval_samples_per_second":
|
2282 |
-
"eval_steps_per_second": 2.
|
2283 |
"step": 3120
|
2284 |
},
|
2285 |
{
|
2286 |
"epoch": 9.984,
|
2287 |
"step": 3120,
|
2288 |
"total_flos": 9.926487761391452e+18,
|
2289 |
-
"train_loss": 0.
|
2290 |
-
"train_runtime":
|
2291 |
-
"train_samples_per_second": 2.
|
2292 |
-
"train_steps_per_second": 0.
|
2293 |
}
|
2294 |
],
|
2295 |
"logging_steps": 10,
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.895774647887324,
|
3 |
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-leukemia-08-2024.v1.1\\checkpoint-2187",
|
4 |
"epoch": 9.984,
|
5 |
"eval_steps": 500,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.032,
|
13 |
+
"grad_norm": 3.326205015182495,
|
14 |
"learning_rate": 1.6025641025641025e-06,
|
15 |
+
"loss": 0.6765,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.064,
|
20 |
+
"grad_norm": 4.977212429046631,
|
21 |
"learning_rate": 3.205128205128205e-06,
|
22 |
+
"loss": 0.6592,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.096,
|
27 |
+
"grad_norm": 5.245025634765625,
|
28 |
"learning_rate": 4.807692307692308e-06,
|
29 |
+
"loss": 0.6468,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.128,
|
34 |
+
"grad_norm": 8.593008041381836,
|
35 |
"learning_rate": 6.41025641025641e-06,
|
36 |
+
"loss": 0.6236,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.16,
|
41 |
+
"grad_norm": 8.709370613098145,
|
42 |
"learning_rate": 8.012820512820515e-06,
|
43 |
+
"loss": 0.5814,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.192,
|
48 |
+
"grad_norm": 11.99754524230957,
|
49 |
"learning_rate": 9.615384615384616e-06,
|
50 |
+
"loss": 0.5527,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.224,
|
55 |
+
"grad_norm": 9.359601020812988,
|
56 |
"learning_rate": 1.1217948717948719e-05,
|
57 |
+
"loss": 0.5557,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.256,
|
62 |
+
"grad_norm": 8.183499336242676,
|
63 |
"learning_rate": 1.282051282051282e-05,
|
64 |
+
"loss": 0.5155,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.288,
|
69 |
+
"grad_norm": 8.299748420715332,
|
70 |
"learning_rate": 1.4423076923076923e-05,
|
71 |
+
"loss": 0.5315,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.32,
|
76 |
+
"grad_norm": 10.13196086883545,
|
77 |
"learning_rate": 1.602564102564103e-05,
|
78 |
+
"loss": 0.4867,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.352,
|
83 |
+
"grad_norm": 8.469902038574219,
|
84 |
"learning_rate": 1.762820512820513e-05,
|
85 |
"loss": 0.5046,
|
86 |
"step": 110
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.384,
|
90 |
+
"grad_norm": 13.50936222076416,
|
91 |
"learning_rate": 1.923076923076923e-05,
|
92 |
+
"loss": 0.482,
|
93 |
"step": 120
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.416,
|
97 |
+
"grad_norm": 12.19388198852539,
|
98 |
"learning_rate": 2.0833333333333336e-05,
|
99 |
+
"loss": 0.4686,
|
100 |
"step": 130
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.448,
|
104 |
+
"grad_norm": 12.558857917785645,
|
105 |
"learning_rate": 2.2435897435897437e-05,
|
106 |
+
"loss": 0.4377,
|
107 |
"step": 140
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.48,
|
111 |
+
"grad_norm": 9.872008323669434,
|
112 |
"learning_rate": 2.4038461538461542e-05,
|
113 |
+
"loss": 0.3905,
|
114 |
"step": 150
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.512,
|
118 |
+
"grad_norm": 10.574499130249023,
|
119 |
"learning_rate": 2.564102564102564e-05,
|
120 |
+
"loss": 0.4353,
|
121 |
"step": 160
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.544,
|
125 |
+
"grad_norm": 17.03191375732422,
|
126 |
"learning_rate": 2.724358974358974e-05,
|
127 |
+
"loss": 0.4247,
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.576,
|
132 |
+
"grad_norm": 22.064960479736328,
|
133 |
"learning_rate": 2.8846153846153845e-05,
|
134 |
+
"loss": 0.4109,
|
135 |
"step": 180
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.608,
|
139 |
+
"grad_norm": 17.807937622070312,
|
140 |
"learning_rate": 3.0448717948717947e-05,
|
141 |
+
"loss": 0.3676,
|
142 |
"step": 190
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.64,
|
146 |
+
"grad_norm": 65.49658966064453,
|
147 |
"learning_rate": 3.205128205128206e-05,
|
148 |
+
"loss": 0.377,
|
149 |
"step": 200
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.672,
|
153 |
+
"grad_norm": 31.896503448486328,
|
154 |
"learning_rate": 3.365384615384616e-05,
|
155 |
+
"loss": 0.3399,
|
156 |
"step": 210
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.704,
|
160 |
+
"grad_norm": 60.66265869140625,
|
161 |
"learning_rate": 3.525641025641026e-05,
|
162 |
+
"loss": 0.3622,
|
163 |
"step": 220
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.736,
|
167 |
+
"grad_norm": 18.89693260192871,
|
168 |
"learning_rate": 3.685897435897436e-05,
|
169 |
+
"loss": 0.3772,
|
170 |
"step": 230
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.768,
|
174 |
+
"grad_norm": 60.72289276123047,
|
175 |
"learning_rate": 3.846153846153846e-05,
|
176 |
+
"loss": 0.3749,
|
177 |
"step": 240
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.8,
|
181 |
+
"grad_norm": 47.18878936767578,
|
182 |
"learning_rate": 4.006410256410257e-05,
|
183 |
+
"loss": 0.3787,
|
184 |
"step": 250
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.832,
|
188 |
+
"grad_norm": 43.871910095214844,
|
189 |
"learning_rate": 4.166666666666667e-05,
|
190 |
+
"loss": 0.4123,
|
191 |
"step": 260
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.864,
|
195 |
+
"grad_norm": 41.39242172241211,
|
196 |
"learning_rate": 4.326923076923077e-05,
|
197 |
+
"loss": 0.3703,
|
198 |
"step": 270
|
199 |
},
|
200 |
{
|
201 |
"epoch": 0.896,
|
202 |
+
"grad_norm": 21.079559326171875,
|
203 |
"learning_rate": 4.4871794871794874e-05,
|
204 |
+
"loss": 0.3573,
|
205 |
"step": 280
|
206 |
},
|
207 |
{
|
208 |
"epoch": 0.928,
|
209 |
+
"grad_norm": 36.1923942565918,
|
210 |
"learning_rate": 4.6474358974358976e-05,
|
211 |
+
"loss": 0.3568,
|
212 |
"step": 290
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.96,
|
216 |
+
"grad_norm": 23.425731658935547,
|
217 |
"learning_rate": 4.8076923076923084e-05,
|
218 |
+
"loss": 0.334,
|
219 |
"step": 300
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.992,
|
223 |
+
"grad_norm": 17.070802688598633,
|
224 |
"learning_rate": 4.9679487179487185e-05,
|
225 |
+
"loss": 0.3578,
|
226 |
"step": 310
|
227 |
},
|
228 |
{
|
229 |
"epoch": 0.9984,
|
230 |
+
"eval_accuracy": 0.4262910798122066,
|
231 |
+
"eval_loss": 1.7840968370437622,
|
232 |
+
"eval_runtime": 15.325,
|
233 |
+
"eval_samples_per_second": 69.494,
|
234 |
+
"eval_steps_per_second": 2.219,
|
235 |
"step": 312
|
236 |
},
|
237 |
{
|
238 |
"epoch": 1.024,
|
239 |
+
"grad_norm": 30.137889862060547,
|
240 |
"learning_rate": 4.985754985754986e-05,
|
241 |
+
"loss": 0.4256,
|
242 |
"step": 320
|
243 |
},
|
244 |
{
|
245 |
"epoch": 1.056,
|
246 |
+
"grad_norm": 39.79228591918945,
|
247 |
"learning_rate": 4.9679487179487185e-05,
|
248 |
+
"loss": 0.3435,
|
249 |
"step": 330
|
250 |
},
|
251 |
{
|
252 |
"epoch": 1.088,
|
253 |
+
"grad_norm": 13.679237365722656,
|
254 |
"learning_rate": 4.95014245014245e-05,
|
255 |
+
"loss": 0.3055,
|
256 |
"step": 340
|
257 |
},
|
258 |
{
|
259 |
"epoch": 1.12,
|
260 |
+
"grad_norm": 37.67884826660156,
|
261 |
"learning_rate": 4.932336182336182e-05,
|
262 |
+
"loss": 0.3971,
|
263 |
"step": 350
|
264 |
},
|
265 |
{
|
266 |
"epoch": 1.152,
|
267 |
+
"grad_norm": 51.65517044067383,
|
268 |
"learning_rate": 4.9145299145299147e-05,
|
269 |
+
"loss": 0.4286,
|
270 |
"step": 360
|
271 |
},
|
272 |
{
|
273 |
"epoch": 1.184,
|
274 |
+
"grad_norm": 9.33079719543457,
|
275 |
"learning_rate": 4.896723646723647e-05,
|
276 |
+
"loss": 0.3771,
|
277 |
"step": 370
|
278 |
},
|
279 |
{
|
280 |
"epoch": 1.216,
|
281 |
+
"grad_norm": 22.497329711914062,
|
282 |
"learning_rate": 4.878917378917379e-05,
|
283 |
+
"loss": 0.3503,
|
284 |
"step": 380
|
285 |
},
|
286 |
{
|
287 |
"epoch": 1.248,
|
288 |
+
"grad_norm": 28.880863189697266,
|
289 |
"learning_rate": 4.8611111111111115e-05,
|
290 |
+
"loss": 0.289,
|
291 |
"step": 390
|
292 |
},
|
293 |
{
|
294 |
"epoch": 1.28,
|
295 |
+
"grad_norm": 13.440912246704102,
|
296 |
"learning_rate": 4.8433048433048433e-05,
|
297 |
+
"loss": 0.3023,
|
298 |
"step": 400
|
299 |
},
|
300 |
{
|
301 |
"epoch": 1.312,
|
302 |
+
"grad_norm": 25.807588577270508,
|
303 |
"learning_rate": 4.825498575498576e-05,
|
304 |
+
"loss": 0.307,
|
305 |
"step": 410
|
306 |
},
|
307 |
{
|
308 |
"epoch": 1.3439999999999999,
|
309 |
+
"grad_norm": 14.44901180267334,
|
310 |
"learning_rate": 4.8076923076923084e-05,
|
311 |
+
"loss": 0.304,
|
312 |
"step": 420
|
313 |
},
|
314 |
{
|
315 |
"epoch": 1.376,
|
316 |
+
"grad_norm": 27.361024856567383,
|
317 |
"learning_rate": 4.78988603988604e-05,
|
318 |
+
"loss": 0.3366,
|
319 |
"step": 430
|
320 |
},
|
321 |
{
|
322 |
"epoch": 1.408,
|
323 |
+
"grad_norm": 36.755638122558594,
|
324 |
"learning_rate": 4.772079772079772e-05,
|
325 |
+
"loss": 0.3469,
|
326 |
"step": 440
|
327 |
},
|
328 |
{
|
329 |
"epoch": 1.44,
|
330 |
+
"grad_norm": 13.210039138793945,
|
331 |
"learning_rate": 4.7542735042735045e-05,
|
332 |
+
"loss": 0.2735,
|
333 |
"step": 450
|
334 |
},
|
335 |
{
|
336 |
"epoch": 1.472,
|
337 |
+
"grad_norm": 31.067184448242188,
|
338 |
"learning_rate": 4.736467236467237e-05,
|
339 |
+
"loss": 0.2682,
|
340 |
"step": 460
|
341 |
},
|
342 |
{
|
343 |
"epoch": 1.504,
|
344 |
+
"grad_norm": 23.262245178222656,
|
345 |
"learning_rate": 4.718660968660969e-05,
|
346 |
+
"loss": 0.2862,
|
347 |
"step": 470
|
348 |
},
|
349 |
{
|
350 |
"epoch": 1.536,
|
351 |
+
"grad_norm": 16.004291534423828,
|
352 |
"learning_rate": 4.700854700854701e-05,
|
353 |
+
"loss": 0.2777,
|
354 |
"step": 480
|
355 |
},
|
356 |
{
|
357 |
"epoch": 1.568,
|
358 |
+
"grad_norm": 28.26585578918457,
|
359 |
"learning_rate": 4.683048433048433e-05,
|
360 |
+
"loss": 0.2514,
|
361 |
"step": 490
|
362 |
},
|
363 |
{
|
364 |
"epoch": 1.6,
|
365 |
+
"grad_norm": 32.8377685546875,
|
366 |
"learning_rate": 4.665242165242166e-05,
|
367 |
+
"loss": 0.2514,
|
368 |
"step": 500
|
369 |
},
|
370 |
{
|
371 |
"epoch": 1.6320000000000001,
|
372 |
+
"grad_norm": 34.51008605957031,
|
373 |
"learning_rate": 4.6474358974358976e-05,
|
374 |
+
"loss": 0.3642,
|
375 |
"step": 510
|
376 |
},
|
377 |
{
|
378 |
"epoch": 1.6640000000000001,
|
379 |
+
"grad_norm": 20.71710968017578,
|
380 |
"learning_rate": 4.62962962962963e-05,
|
381 |
+
"loss": 0.3203,
|
382 |
"step": 520
|
383 |
},
|
384 |
{
|
385 |
"epoch": 1.696,
|
386 |
+
"grad_norm": 11.27377986907959,
|
387 |
"learning_rate": 4.611823361823362e-05,
|
388 |
+
"loss": 0.329,
|
389 |
"step": 530
|
390 |
},
|
391 |
{
|
392 |
"epoch": 1.728,
|
393 |
+
"grad_norm": 7.797733306884766,
|
394 |
"learning_rate": 4.594017094017094e-05,
|
395 |
+
"loss": 0.3049,
|
396 |
"step": 540
|
397 |
},
|
398 |
{
|
399 |
"epoch": 1.76,
|
400 |
+
"grad_norm": 13.634445190429688,
|
401 |
"learning_rate": 4.576210826210827e-05,
|
402 |
+
"loss": 0.2444,
|
403 |
"step": 550
|
404 |
},
|
405 |
{
|
406 |
"epoch": 1.792,
|
407 |
+
"grad_norm": 10.297043800354004,
|
408 |
"learning_rate": 4.558404558404559e-05,
|
409 |
+
"loss": 0.2404,
|
410 |
"step": 560
|
411 |
},
|
412 |
{
|
413 |
"epoch": 1.8239999999999998,
|
414 |
+
"grad_norm": 10.661726951599121,
|
415 |
"learning_rate": 4.5405982905982906e-05,
|
416 |
+
"loss": 0.2777,
|
417 |
"step": 570
|
418 |
},
|
419 |
{
|
420 |
"epoch": 1.8559999999999999,
|
421 |
+
"grad_norm": 23.705551147460938,
|
422 |
"learning_rate": 4.522792022792023e-05,
|
423 |
+
"loss": 0.3309,
|
424 |
"step": 580
|
425 |
},
|
426 |
{
|
427 |
"epoch": 1.888,
|
428 |
+
"grad_norm": 21.21759033203125,
|
429 |
"learning_rate": 4.504985754985755e-05,
|
430 |
+
"loss": 0.2703,
|
431 |
"step": 590
|
432 |
},
|
433 |
{
|
434 |
"epoch": 1.92,
|
435 |
+
"grad_norm": 39.91014862060547,
|
436 |
"learning_rate": 4.4871794871794874e-05,
|
437 |
+
"loss": 0.2853,
|
438 |
"step": 600
|
439 |
},
|
440 |
{
|
441 |
"epoch": 1.952,
|
442 |
+
"grad_norm": 53.51070022583008,
|
443 |
"learning_rate": 4.46937321937322e-05,
|
444 |
+
"loss": 0.258,
|
445 |
"step": 610
|
446 |
},
|
447 |
{
|
448 |
"epoch": 1.984,
|
449 |
+
"grad_norm": 13.379941940307617,
|
450 |
"learning_rate": 4.451566951566952e-05,
|
451 |
+
"loss": 0.2403,
|
452 |
"step": 620
|
453 |
},
|
454 |
{
|
455 |
"epoch": 2.0,
|
456 |
+
"eval_accuracy": 0.6807511737089202,
|
457 |
+
"eval_loss": 0.9413667917251587,
|
458 |
+
"eval_runtime": 15.1245,
|
459 |
+
"eval_samples_per_second": 70.415,
|
460 |
+
"eval_steps_per_second": 2.248,
|
461 |
"step": 625
|
462 |
},
|
463 |
{
|
464 |
"epoch": 2.016,
|
465 |
+
"grad_norm": 9.985576629638672,
|
466 |
"learning_rate": 4.4337606837606836e-05,
|
467 |
+
"loss": 0.2208,
|
468 |
"step": 630
|
469 |
},
|
470 |
{
|
471 |
"epoch": 2.048,
|
472 |
+
"grad_norm": 28.021074295043945,
|
473 |
"learning_rate": 4.415954415954416e-05,
|
474 |
+
"loss": 0.2653,
|
475 |
"step": 640
|
476 |
},
|
477 |
{
|
478 |
"epoch": 2.08,
|
479 |
+
"grad_norm": 14.402697563171387,
|
480 |
"learning_rate": 4.3981481481481486e-05,
|
481 |
+
"loss": 0.2528,
|
482 |
"step": 650
|
483 |
},
|
484 |
{
|
485 |
"epoch": 2.112,
|
486 |
+
"grad_norm": 20.3269100189209,
|
487 |
"learning_rate": 4.3803418803418805e-05,
|
488 |
+
"loss": 0.2513,
|
489 |
"step": 660
|
490 |
},
|
491 |
{
|
492 |
"epoch": 2.144,
|
493 |
+
"grad_norm": 14.583213806152344,
|
494 |
"learning_rate": 4.362535612535612e-05,
|
495 |
+
"loss": 0.2224,
|
496 |
"step": 670
|
497 |
},
|
498 |
{
|
499 |
"epoch": 2.176,
|
500 |
+
"grad_norm": 11.780790328979492,
|
501 |
"learning_rate": 4.344729344729345e-05,
|
502 |
+
"loss": 0.2075,
|
503 |
"step": 680
|
504 |
},
|
505 |
{
|
506 |
"epoch": 2.208,
|
507 |
+
"grad_norm": 39.822628021240234,
|
508 |
"learning_rate": 4.326923076923077e-05,
|
509 |
+
"loss": 0.2575,
|
510 |
"step": 690
|
511 |
},
|
512 |
{
|
513 |
"epoch": 2.24,
|
514 |
+
"grad_norm": 17.438533782958984,
|
515 |
"learning_rate": 4.309116809116809e-05,
|
516 |
+
"loss": 0.2109,
|
517 |
"step": 700
|
518 |
},
|
519 |
{
|
520 |
"epoch": 2.2720000000000002,
|
521 |
+
"grad_norm": 21.648460388183594,
|
522 |
"learning_rate": 4.291310541310542e-05,
|
523 |
+
"loss": 0.2231,
|
524 |
"step": 710
|
525 |
},
|
526 |
{
|
527 |
"epoch": 2.304,
|
528 |
+
"grad_norm": 15.304508209228516,
|
529 |
"learning_rate": 4.2735042735042735e-05,
|
530 |
+
"loss": 0.1973,
|
531 |
"step": 720
|
532 |
},
|
533 |
{
|
534 |
"epoch": 2.336,
|
535 |
+
"grad_norm": 27.324260711669922,
|
536 |
"learning_rate": 4.255698005698006e-05,
|
537 |
+
"loss": 0.2586,
|
538 |
"step": 730
|
539 |
},
|
540 |
{
|
541 |
"epoch": 2.368,
|
542 |
+
"grad_norm": 15.033935546875,
|
543 |
"learning_rate": 4.2378917378917385e-05,
|
544 |
+
"loss": 0.2142,
|
545 |
"step": 740
|
546 |
},
|
547 |
{
|
548 |
"epoch": 2.4,
|
549 |
+
"grad_norm": 14.733280181884766,
|
550 |
"learning_rate": 4.2200854700854704e-05,
|
551 |
+
"loss": 0.1725,
|
552 |
"step": 750
|
553 |
},
|
554 |
{
|
555 |
"epoch": 2.432,
|
556 |
+
"grad_norm": 12.364413261413574,
|
557 |
"learning_rate": 4.202279202279202e-05,
|
558 |
+
"loss": 0.2412,
|
559 |
"step": 760
|
560 |
},
|
561 |
{
|
562 |
"epoch": 2.464,
|
563 |
+
"grad_norm": 8.037039756774902,
|
564 |
"learning_rate": 4.184472934472935e-05,
|
565 |
+
"loss": 0.2293,
|
566 |
"step": 770
|
567 |
},
|
568 |
{
|
569 |
"epoch": 2.496,
|
570 |
+
"grad_norm": 48.51978302001953,
|
571 |
"learning_rate": 4.166666666666667e-05,
|
572 |
+
"loss": 0.2513,
|
573 |
"step": 780
|
574 |
},
|
575 |
{
|
576 |
"epoch": 2.528,
|
577 |
+
"grad_norm": 18.824827194213867,
|
578 |
"learning_rate": 4.148860398860399e-05,
|
579 |
+
"loss": 0.2248,
|
580 |
"step": 790
|
581 |
},
|
582 |
{
|
583 |
"epoch": 2.56,
|
584 |
+
"grad_norm": 29.346654891967773,
|
585 |
"learning_rate": 4.131054131054131e-05,
|
586 |
+
"loss": 0.215,
|
587 |
"step": 800
|
588 |
},
|
589 |
{
|
590 |
"epoch": 2.592,
|
591 |
+
"grad_norm": 13.431859016418457,
|
592 |
"learning_rate": 4.1132478632478634e-05,
|
593 |
+
"loss": 0.2015,
|
594 |
"step": 810
|
595 |
},
|
596 |
{
|
597 |
"epoch": 2.624,
|
598 |
+
"grad_norm": 45.57223892211914,
|
599 |
"learning_rate": 4.095441595441596e-05,
|
600 |
+
"loss": 0.1951,
|
601 |
"step": 820
|
602 |
},
|
603 |
{
|
604 |
"epoch": 2.656,
|
605 |
+
"grad_norm": 44.39851379394531,
|
606 |
"learning_rate": 4.077635327635328e-05,
|
607 |
+
"loss": 0.1937,
|
608 |
"step": 830
|
609 |
},
|
610 |
{
|
611 |
"epoch": 2.6879999999999997,
|
612 |
+
"grad_norm": 29.183330535888672,
|
613 |
"learning_rate": 4.05982905982906e-05,
|
614 |
+
"loss": 0.2363,
|
615 |
"step": 840
|
616 |
},
|
617 |
{
|
618 |
"epoch": 2.7199999999999998,
|
619 |
+
"grad_norm": 14.148327827453613,
|
620 |
"learning_rate": 4.042022792022792e-05,
|
621 |
+
"loss": 0.2374,
|
622 |
"step": 850
|
623 |
},
|
624 |
{
|
625 |
"epoch": 2.752,
|
626 |
+
"grad_norm": 31.385358810424805,
|
627 |
"learning_rate": 4.024216524216524e-05,
|
628 |
+
"loss": 0.1903,
|
629 |
"step": 860
|
630 |
},
|
631 |
{
|
632 |
"epoch": 2.784,
|
633 |
+
"grad_norm": 23.014760971069336,
|
634 |
"learning_rate": 4.006410256410257e-05,
|
635 |
+
"loss": 0.1592,
|
636 |
"step": 870
|
637 |
},
|
638 |
{
|
639 |
"epoch": 2.816,
|
640 |
+
"grad_norm": 37.545082092285156,
|
641 |
"learning_rate": 3.988603988603989e-05,
|
642 |
+
"loss": 0.2185,
|
643 |
"step": 880
|
644 |
},
|
645 |
{
|
646 |
"epoch": 2.848,
|
647 |
+
"grad_norm": 43.25140380859375,
|
648 |
"learning_rate": 3.970797720797721e-05,
|
649 |
+
"loss": 0.2185,
|
650 |
"step": 890
|
651 |
},
|
652 |
{
|
653 |
"epoch": 2.88,
|
654 |
+
"grad_norm": 18.27262306213379,
|
655 |
"learning_rate": 3.952991452991453e-05,
|
656 |
+
"loss": 0.1996,
|
657 |
"step": 900
|
658 |
},
|
659 |
{
|
660 |
"epoch": 2.912,
|
661 |
+
"grad_norm": 24.33517837524414,
|
662 |
"learning_rate": 3.935185185185186e-05,
|
663 |
+
"loss": 0.1716,
|
664 |
"step": 910
|
665 |
},
|
666 |
{
|
667 |
"epoch": 2.944,
|
668 |
+
"grad_norm": 9.979388236999512,
|
669 |
"learning_rate": 3.9173789173789176e-05,
|
670 |
+
"loss": 0.2035,
|
671 |
"step": 920
|
672 |
},
|
673 |
{
|
674 |
"epoch": 2.976,
|
675 |
+
"grad_norm": 27.87533187866211,
|
676 |
"learning_rate": 3.89957264957265e-05,
|
677 |
+
"loss": 0.1815,
|
678 |
"step": 930
|
679 |
},
|
680 |
{
|
681 |
"epoch": 2.9984,
|
682 |
+
"eval_accuracy": 0.7784037558685446,
|
683 |
+
"eval_loss": 0.6043610572814941,
|
684 |
+
"eval_runtime": 15.1388,
|
685 |
+
"eval_samples_per_second": 70.349,
|
686 |
+
"eval_steps_per_second": 2.246,
|
687 |
"step": 937
|
688 |
},
|
689 |
{
|
690 |
"epoch": 3.008,
|
691 |
+
"grad_norm": 13.326042175292969,
|
692 |
"learning_rate": 3.881766381766382e-05,
|
693 |
+
"loss": 0.1679,
|
694 |
"step": 940
|
695 |
},
|
696 |
{
|
697 |
"epoch": 3.04,
|
698 |
+
"grad_norm": 33.75840759277344,
|
699 |
"learning_rate": 3.863960113960114e-05,
|
700 |
+
"loss": 0.2098,
|
701 |
"step": 950
|
702 |
},
|
703 |
{
|
704 |
"epoch": 3.072,
|
705 |
+
"grad_norm": 10.451057434082031,
|
706 |
"learning_rate": 3.846153846153846e-05,
|
707 |
+
"loss": 0.1596,
|
708 |
"step": 960
|
709 |
},
|
710 |
{
|
711 |
"epoch": 3.104,
|
712 |
+
"grad_norm": 21.400108337402344,
|
713 |
"learning_rate": 3.828347578347579e-05,
|
714 |
+
"loss": 0.1778,
|
715 |
"step": 970
|
716 |
},
|
717 |
{
|
718 |
"epoch": 3.136,
|
719 |
+
"grad_norm": 19.759441375732422,
|
720 |
"learning_rate": 3.8105413105413106e-05,
|
721 |
+
"loss": 0.1957,
|
722 |
"step": 980
|
723 |
},
|
724 |
{
|
725 |
"epoch": 3.168,
|
726 |
+
"grad_norm": 19.105667114257812,
|
727 |
"learning_rate": 3.7927350427350425e-05,
|
728 |
+
"loss": 0.1649,
|
729 |
"step": 990
|
730 |
},
|
731 |
{
|
732 |
"epoch": 3.2,
|
733 |
+
"grad_norm": 25.42116355895996,
|
734 |
"learning_rate": 3.774928774928775e-05,
|
735 |
+
"loss": 0.148,
|
736 |
"step": 1000
|
737 |
},
|
738 |
{
|
739 |
"epoch": 3.232,
|
740 |
+
"grad_norm": 13.591997146606445,
|
741 |
"learning_rate": 3.7571225071225075e-05,
|
742 |
+
"loss": 0.1777,
|
743 |
"step": 1010
|
744 |
},
|
745 |
{
|
746 |
"epoch": 3.2640000000000002,
|
747 |
+
"grad_norm": 47.809547424316406,
|
748 |
"learning_rate": 3.739316239316239e-05,
|
749 |
+
"loss": 0.1719,
|
750 |
"step": 1020
|
751 |
},
|
752 |
{
|
753 |
"epoch": 3.296,
|
754 |
+
"grad_norm": 22.09874725341797,
|
755 |
"learning_rate": 3.721509971509972e-05,
|
756 |
+
"loss": 0.1795,
|
757 |
"step": 1030
|
758 |
},
|
759 |
{
|
760 |
"epoch": 3.328,
|
761 |
+
"grad_norm": 16.385005950927734,
|
762 |
"learning_rate": 3.7037037037037037e-05,
|
763 |
+
"loss": 0.1418,
|
764 |
"step": 1040
|
765 |
},
|
766 |
{
|
767 |
"epoch": 3.36,
|
768 |
+
"grad_norm": 40.277862548828125,
|
769 |
"learning_rate": 3.685897435897436e-05,
|
770 |
+
"loss": 0.1666,
|
771 |
"step": 1050
|
772 |
},
|
773 |
{
|
774 |
"epoch": 3.392,
|
775 |
+
"grad_norm": 19.256372451782227,
|
776 |
"learning_rate": 3.668091168091169e-05,
|
777 |
+
"loss": 0.1594,
|
778 |
"step": 1060
|
779 |
},
|
780 |
{
|
781 |
"epoch": 3.424,
|
782 |
+
"grad_norm": 42.8471565246582,
|
783 |
"learning_rate": 3.6502849002849005e-05,
|
784 |
+
"loss": 0.2179,
|
785 |
"step": 1070
|
786 |
},
|
787 |
{
|
788 |
"epoch": 3.456,
|
789 |
+
"grad_norm": 14.012408256530762,
|
790 |
"learning_rate": 3.6324786324786323e-05,
|
791 |
+
"loss": 0.1801,
|
792 |
"step": 1080
|
793 |
},
|
794 |
{
|
795 |
"epoch": 3.488,
|
796 |
+
"grad_norm": 32.536285400390625,
|
797 |
"learning_rate": 3.614672364672365e-05,
|
798 |
+
"loss": 0.1385,
|
799 |
"step": 1090
|
800 |
},
|
801 |
{
|
802 |
"epoch": 3.52,
|
803 |
+
"grad_norm": 10.804754257202148,
|
804 |
"learning_rate": 3.5968660968660974e-05,
|
805 |
+
"loss": 0.1707,
|
806 |
"step": 1100
|
807 |
},
|
808 |
{
|
809 |
"epoch": 3.552,
|
810 |
+
"grad_norm": 14.308632850646973,
|
811 |
"learning_rate": 3.579059829059829e-05,
|
812 |
+
"loss": 0.1928,
|
813 |
"step": 1110
|
814 |
},
|
815 |
{
|
816 |
"epoch": 3.584,
|
817 |
+
"grad_norm": 34.59251403808594,
|
818 |
"learning_rate": 3.561253561253561e-05,
|
819 |
+
"loss": 0.1592,
|
820 |
"step": 1120
|
821 |
},
|
822 |
{
|
823 |
"epoch": 3.616,
|
824 |
+
"grad_norm": 32.08983612060547,
|
825 |
"learning_rate": 3.5434472934472935e-05,
|
826 |
+
"loss": 0.1473,
|
827 |
"step": 1130
|
828 |
},
|
829 |
{
|
830 |
"epoch": 3.648,
|
831 |
+
"grad_norm": 23.76660919189453,
|
832 |
"learning_rate": 3.525641025641026e-05,
|
833 |
+
"loss": 0.1567,
|
834 |
"step": 1140
|
835 |
},
|
836 |
{
|
837 |
"epoch": 3.68,
|
838 |
+
"grad_norm": 14.27629566192627,
|
839 |
"learning_rate": 3.507834757834758e-05,
|
840 |
+
"loss": 0.1491,
|
841 |
"step": 1150
|
842 |
},
|
843 |
{
|
844 |
"epoch": 3.7119999999999997,
|
845 |
+
"grad_norm": 13.110605239868164,
|
846 |
"learning_rate": 3.4900284900284904e-05,
|
847 |
+
"loss": 0.2185,
|
848 |
"step": 1160
|
849 |
},
|
850 |
{
|
851 |
"epoch": 3.7439999999999998,
|
852 |
+
"grad_norm": 13.250021934509277,
|
853 |
"learning_rate": 3.472222222222222e-05,
|
854 |
+
"loss": 0.2039,
|
855 |
"step": 1170
|
856 |
},
|
857 |
{
|
858 |
"epoch": 3.776,
|
859 |
+
"grad_norm": 32.865421295166016,
|
860 |
"learning_rate": 3.454415954415954e-05,
|
861 |
+
"loss": 0.1246,
|
862 |
"step": 1180
|
863 |
},
|
864 |
{
|
865 |
"epoch": 3.808,
|
866 |
+
"grad_norm": 17.54583740234375,
|
867 |
"learning_rate": 3.436609686609687e-05,
|
868 |
+
"loss": 0.1992,
|
869 |
"step": 1190
|
870 |
},
|
871 |
{
|
872 |
"epoch": 3.84,
|
873 |
+
"grad_norm": 36.1751594543457,
|
874 |
"learning_rate": 3.418803418803419e-05,
|
875 |
+
"loss": 0.1216,
|
876 |
"step": 1200
|
877 |
},
|
878 |
{
|
879 |
"epoch": 3.872,
|
880 |
+
"grad_norm": 26.110553741455078,
|
881 |
"learning_rate": 3.400997150997151e-05,
|
882 |
+
"loss": 0.1545,
|
883 |
"step": 1210
|
884 |
},
|
885 |
{
|
886 |
"epoch": 3.904,
|
887 |
+
"grad_norm": 30.693532943725586,
|
888 |
"learning_rate": 3.3831908831908834e-05,
|
889 |
+
"loss": 0.1758,
|
890 |
"step": 1220
|
891 |
},
|
892 |
{
|
893 |
"epoch": 3.936,
|
894 |
+
"grad_norm": 11.511937141418457,
|
895 |
"learning_rate": 3.365384615384616e-05,
|
896 |
+
"loss": 0.1584,
|
897 |
"step": 1230
|
898 |
},
|
899 |
{
|
900 |
"epoch": 3.968,
|
901 |
+
"grad_norm": 53.82408905029297,
|
902 |
"learning_rate": 3.347578347578348e-05,
|
903 |
+
"loss": 0.1264,
|
904 |
"step": 1240
|
905 |
},
|
906 |
{
|
907 |
"epoch": 4.0,
|
908 |
+
"grad_norm": 20.06711769104004,
|
909 |
"learning_rate": 3.32977207977208e-05,
|
910 |
+
"loss": 0.2062,
|
911 |
"step": 1250
|
912 |
},
|
913 |
{
|
914 |
"epoch": 4.0,
|
915 |
+
"eval_accuracy": 0.7643192488262911,
|
916 |
+
"eval_loss": 0.5284382700920105,
|
917 |
+
"eval_runtime": 16.1882,
|
918 |
+
"eval_samples_per_second": 65.789,
|
919 |
+
"eval_steps_per_second": 2.1,
|
920 |
"step": 1250
|
921 |
},
|
922 |
{
|
923 |
"epoch": 4.032,
|
924 |
+
"grad_norm": 11.678908348083496,
|
925 |
"learning_rate": 3.311965811965812e-05,
|
926 |
+
"loss": 0.1359,
|
927 |
"step": 1260
|
928 |
},
|
929 |
{
|
930 |
"epoch": 4.064,
|
931 |
+
"grad_norm": 22.579870223999023,
|
932 |
"learning_rate": 3.294159544159544e-05,
|
933 |
+
"loss": 0.1529,
|
934 |
"step": 1270
|
935 |
},
|
936 |
{
|
937 |
"epoch": 4.096,
|
938 |
+
"grad_norm": 30.36139678955078,
|
939 |
"learning_rate": 3.2763532763532764e-05,
|
940 |
+
"loss": 0.1259,
|
941 |
"step": 1280
|
942 |
},
|
943 |
{
|
944 |
"epoch": 4.128,
|
945 |
+
"grad_norm": 35.74097442626953,
|
946 |
"learning_rate": 3.258547008547009e-05,
|
947 |
+
"loss": 0.1506,
|
948 |
"step": 1290
|
949 |
},
|
950 |
{
|
951 |
"epoch": 4.16,
|
952 |
+
"grad_norm": 21.0123233795166,
|
953 |
"learning_rate": 3.240740740740741e-05,
|
954 |
+
"loss": 0.1513,
|
955 |
"step": 1300
|
956 |
},
|
957 |
{
|
958 |
"epoch": 4.192,
|
959 |
+
"grad_norm": 29.89231300354004,
|
960 |
"learning_rate": 3.2229344729344726e-05,
|
961 |
+
"loss": 0.1383,
|
962 |
"step": 1310
|
963 |
},
|
964 |
{
|
965 |
"epoch": 4.224,
|
966 |
+
"grad_norm": 9.854804039001465,
|
967 |
"learning_rate": 3.205128205128206e-05,
|
968 |
+
"loss": 0.1327,
|
969 |
"step": 1320
|
970 |
},
|
971 |
{
|
972 |
"epoch": 4.256,
|
973 |
+
"grad_norm": 11.543468475341797,
|
974 |
"learning_rate": 3.1873219373219376e-05,
|
975 |
+
"loss": 0.1208,
|
976 |
"step": 1330
|
977 |
},
|
978 |
{
|
979 |
"epoch": 4.288,
|
980 |
+
"grad_norm": 21.905872344970703,
|
981 |
"learning_rate": 3.1695156695156695e-05,
|
982 |
+
"loss": 0.1181,
|
983 |
"step": 1340
|
984 |
},
|
985 |
{
|
986 |
"epoch": 4.32,
|
987 |
+
"grad_norm": 8.628751754760742,
|
988 |
"learning_rate": 3.151709401709402e-05,
|
989 |
+
"loss": 0.1449,
|
990 |
"step": 1350
|
991 |
},
|
992 |
{
|
993 |
"epoch": 4.352,
|
994 |
+
"grad_norm": 17.885547637939453,
|
995 |
"learning_rate": 3.133903133903134e-05,
|
996 |
+
"loss": 0.1107,
|
997 |
"step": 1360
|
998 |
},
|
999 |
{
|
1000 |
"epoch": 4.384,
|
1001 |
+
"grad_norm": 34.77399444580078,
|
1002 |
"learning_rate": 3.116096866096866e-05,
|
1003 |
+
"loss": 0.1277,
|
1004 |
"step": 1370
|
1005 |
},
|
1006 |
{
|
1007 |
"epoch": 4.416,
|
1008 |
+
"grad_norm": 21.491153717041016,
|
1009 |
"learning_rate": 3.098290598290599e-05,
|
1010 |
+
"loss": 0.1681,
|
1011 |
"step": 1380
|
1012 |
},
|
1013 |
{
|
1014 |
"epoch": 4.448,
|
1015 |
+
"grad_norm": 9.110980987548828,
|
1016 |
"learning_rate": 3.080484330484331e-05,
|
1017 |
+
"loss": 0.1071,
|
1018 |
"step": 1390
|
1019 |
},
|
1020 |
{
|
1021 |
"epoch": 4.48,
|
1022 |
+
"grad_norm": 12.070108413696289,
|
1023 |
"learning_rate": 3.0626780626780625e-05,
|
1024 |
+
"loss": 0.1285,
|
1025 |
"step": 1400
|
1026 |
},
|
1027 |
{
|
1028 |
"epoch": 4.5120000000000005,
|
1029 |
+
"grad_norm": 37.39555740356445,
|
1030 |
"learning_rate": 3.0448717948717947e-05,
|
1031 |
+
"loss": 0.1158,
|
1032 |
"step": 1410
|
1033 |
},
|
1034 |
{
|
1035 |
"epoch": 4.5440000000000005,
|
1036 |
+
"grad_norm": 54.185611724853516,
|
1037 |
"learning_rate": 3.0270655270655275e-05,
|
1038 |
+
"loss": 0.1301,
|
1039 |
"step": 1420
|
1040 |
},
|
1041 |
{
|
1042 |
"epoch": 4.576,
|
1043 |
+
"grad_norm": 31.016170501708984,
|
1044 |
"learning_rate": 3.0092592592592593e-05,
|
1045 |
+
"loss": 0.1008,
|
1046 |
"step": 1430
|
1047 |
},
|
1048 |
{
|
1049 |
"epoch": 4.608,
|
1050 |
+
"grad_norm": 7.421366214752197,
|
1051 |
"learning_rate": 2.9914529914529915e-05,
|
1052 |
+
"loss": 0.0934,
|
1053 |
"step": 1440
|
1054 |
},
|
1055 |
{
|
1056 |
"epoch": 4.64,
|
1057 |
+
"grad_norm": 10.641942024230957,
|
1058 |
"learning_rate": 2.9736467236467237e-05,
|
1059 |
+
"loss": 0.1028,
|
1060 |
"step": 1450
|
1061 |
},
|
1062 |
{
|
1063 |
"epoch": 4.672,
|
1064 |
+
"grad_norm": 27.484214782714844,
|
1065 |
"learning_rate": 2.9558404558404562e-05,
|
1066 |
+
"loss": 0.1084,
|
1067 |
"step": 1460
|
1068 |
},
|
1069 |
{
|
1070 |
"epoch": 4.704,
|
1071 |
+
"grad_norm": 10.595396041870117,
|
1072 |
"learning_rate": 2.9380341880341884e-05,
|
1073 |
+
"loss": 0.106,
|
1074 |
"step": 1470
|
1075 |
},
|
1076 |
{
|
1077 |
"epoch": 4.736,
|
1078 |
+
"grad_norm": 18.006689071655273,
|
1079 |
"learning_rate": 2.9202279202279202e-05,
|
1080 |
+
"loss": 0.1322,
|
1081 |
"step": 1480
|
1082 |
},
|
1083 |
{
|
1084 |
"epoch": 4.768,
|
1085 |
+
"grad_norm": 58.16054153442383,
|
1086 |
"learning_rate": 2.9024216524216524e-05,
|
1087 |
+
"loss": 0.1374,
|
1088 |
"step": 1490
|
1089 |
},
|
1090 |
{
|
1091 |
"epoch": 4.8,
|
1092 |
+
"grad_norm": 14.557624816894531,
|
1093 |
"learning_rate": 2.8846153846153845e-05,
|
1094 |
+
"loss": 0.1255,
|
1095 |
"step": 1500
|
1096 |
},
|
1097 |
{
|
1098 |
"epoch": 4.832,
|
1099 |
+
"grad_norm": 43.29716491699219,
|
1100 |
"learning_rate": 2.866809116809117e-05,
|
1101 |
+
"loss": 0.1147,
|
1102 |
"step": 1510
|
1103 |
},
|
1104 |
{
|
1105 |
"epoch": 4.864,
|
1106 |
+
"grad_norm": 18.05630874633789,
|
1107 |
"learning_rate": 2.8490028490028492e-05,
|
1108 |
+
"loss": 0.1264,
|
1109 |
"step": 1520
|
1110 |
},
|
1111 |
{
|
1112 |
"epoch": 4.896,
|
1113 |
+
"grad_norm": 15.653997421264648,
|
1114 |
"learning_rate": 2.8311965811965814e-05,
|
1115 |
+
"loss": 0.1058,
|
1116 |
"step": 1530
|
1117 |
},
|
1118 |
{
|
1119 |
"epoch": 4.928,
|
1120 |
+
"grad_norm": 20.052400588989258,
|
1121 |
"learning_rate": 2.8133903133903132e-05,
|
1122 |
+
"loss": 0.088,
|
1123 |
"step": 1540
|
1124 |
},
|
1125 |
{
|
1126 |
"epoch": 4.96,
|
1127 |
+
"grad_norm": 28.409940719604492,
|
1128 |
"learning_rate": 2.795584045584046e-05,
|
1129 |
+
"loss": 0.1111,
|
1130 |
"step": 1550
|
1131 |
},
|
1132 |
{
|
1133 |
"epoch": 4.992,
|
1134 |
+
"grad_norm": 15.17120361328125,
|
1135 |
"learning_rate": 2.777777777777778e-05,
|
1136 |
+
"loss": 0.1212,
|
1137 |
"step": 1560
|
1138 |
},
|
1139 |
{
|
1140 |
"epoch": 4.9984,
|
1141 |
+
"eval_accuracy": 0.8488262910798122,
|
1142 |
+
"eval_loss": 0.4432164132595062,
|
1143 |
+
"eval_runtime": 16.1884,
|
1144 |
+
"eval_samples_per_second": 65.788,
|
1145 |
+
"eval_steps_per_second": 2.1,
|
1146 |
"step": 1562
|
1147 |
},
|
1148 |
{
|
1149 |
"epoch": 5.024,
|
1150 |
+
"grad_norm": 28.41824722290039,
|
1151 |
"learning_rate": 2.75997150997151e-05,
|
1152 |
+
"loss": 0.123,
|
1153 |
"step": 1570
|
1154 |
},
|
1155 |
{
|
1156 |
"epoch": 5.056,
|
1157 |
+
"grad_norm": 69.49197387695312,
|
1158 |
"learning_rate": 2.7421652421652423e-05,
|
1159 |
+
"loss": 0.0979,
|
1160 |
"step": 1580
|
1161 |
},
|
1162 |
{
|
1163 |
"epoch": 5.088,
|
1164 |
+
"grad_norm": 18.26475715637207,
|
1165 |
"learning_rate": 2.724358974358974e-05,
|
1166 |
+
"loss": 0.1562,
|
1167 |
"step": 1590
|
1168 |
},
|
1169 |
{
|
1170 |
"epoch": 5.12,
|
1171 |
+
"grad_norm": 18.032114028930664,
|
1172 |
"learning_rate": 2.706552706552707e-05,
|
1173 |
+
"loss": 0.105,
|
1174 |
"step": 1600
|
1175 |
},
|
1176 |
{
|
1177 |
"epoch": 5.152,
|
1178 |
+
"grad_norm": 6.473869323730469,
|
1179 |
"learning_rate": 2.688746438746439e-05,
|
1180 |
+
"loss": 0.1033,
|
1181 |
"step": 1610
|
1182 |
},
|
1183 |
{
|
1184 |
"epoch": 5.184,
|
1185 |
+
"grad_norm": 63.54292678833008,
|
1186 |
"learning_rate": 2.670940170940171e-05,
|
1187 |
+
"loss": 0.094,
|
1188 |
"step": 1620
|
1189 |
},
|
1190 |
{
|
1191 |
"epoch": 5.216,
|
1192 |
+
"grad_norm": 5.499744892120361,
|
1193 |
"learning_rate": 2.653133903133903e-05,
|
1194 |
+
"loss": 0.1023,
|
1195 |
"step": 1630
|
1196 |
},
|
1197 |
{
|
1198 |
"epoch": 5.248,
|
1199 |
+
"grad_norm": 15.685684204101562,
|
1200 |
"learning_rate": 2.6353276353276356e-05,
|
1201 |
+
"loss": 0.0925,
|
1202 |
"step": 1640
|
1203 |
},
|
1204 |
{
|
1205 |
"epoch": 5.28,
|
1206 |
+
"grad_norm": 26.418638229370117,
|
1207 |
"learning_rate": 2.6175213675213678e-05,
|
1208 |
+
"loss": 0.0834,
|
1209 |
"step": 1650
|
1210 |
},
|
1211 |
{
|
1212 |
"epoch": 5.312,
|
1213 |
+
"grad_norm": 27.78782844543457,
|
1214 |
"learning_rate": 2.5997150997151e-05,
|
1215 |
+
"loss": 0.1303,
|
1216 |
"step": 1660
|
1217 |
},
|
1218 |
{
|
1219 |
"epoch": 5.344,
|
1220 |
+
"grad_norm": 19.61688995361328,
|
1221 |
"learning_rate": 2.5819088319088318e-05,
|
1222 |
+
"loss": 0.1024,
|
1223 |
"step": 1670
|
1224 |
},
|
1225 |
{
|
1226 |
"epoch": 5.376,
|
1227 |
+
"grad_norm": 9.222888946533203,
|
1228 |
"learning_rate": 2.564102564102564e-05,
|
1229 |
+
"loss": 0.0927,
|
1230 |
"step": 1680
|
1231 |
},
|
1232 |
{
|
1233 |
"epoch": 5.408,
|
1234 |
+
"grad_norm": 22.30426788330078,
|
1235 |
"learning_rate": 2.5462962962962965e-05,
|
1236 |
+
"loss": 0.0801,
|
1237 |
"step": 1690
|
1238 |
},
|
1239 |
{
|
1240 |
"epoch": 5.44,
|
1241 |
+
"grad_norm": 16.88903045654297,
|
1242 |
"learning_rate": 2.5284900284900286e-05,
|
1243 |
+
"loss": 0.088,
|
1244 |
"step": 1700
|
1245 |
},
|
1246 |
{
|
1247 |
"epoch": 5.4719999999999995,
|
1248 |
+
"grad_norm": 29.053525924682617,
|
1249 |
"learning_rate": 2.5106837606837608e-05,
|
1250 |
+
"loss": 0.0836,
|
1251 |
"step": 1710
|
1252 |
},
|
1253 |
{
|
1254 |
"epoch": 5.504,
|
1255 |
+
"grad_norm": 8.875022888183594,
|
1256 |
"learning_rate": 2.492877492877493e-05,
|
1257 |
+
"loss": 0.0853,
|
1258 |
"step": 1720
|
1259 |
},
|
1260 |
{
|
1261 |
"epoch": 5.536,
|
1262 |
+
"grad_norm": 22.24742317199707,
|
1263 |
"learning_rate": 2.475071225071225e-05,
|
1264 |
+
"loss": 0.1093,
|
1265 |
"step": 1730
|
1266 |
},
|
1267 |
{
|
1268 |
"epoch": 5.568,
|
1269 |
+
"grad_norm": 22.047805786132812,
|
1270 |
"learning_rate": 2.4572649572649573e-05,
|
1271 |
+
"loss": 0.0921,
|
1272 |
"step": 1740
|
1273 |
},
|
1274 |
{
|
1275 |
"epoch": 5.6,
|
1276 |
+
"grad_norm": 11.919727325439453,
|
1277 |
"learning_rate": 2.4394586894586895e-05,
|
1278 |
+
"loss": 0.0897,
|
1279 |
"step": 1750
|
1280 |
},
|
1281 |
{
|
1282 |
"epoch": 5.632,
|
1283 |
+
"grad_norm": 20.128320693969727,
|
1284 |
"learning_rate": 2.4216524216524217e-05,
|
1285 |
+
"loss": 0.1007,
|
1286 |
"step": 1760
|
1287 |
},
|
1288 |
{
|
1289 |
"epoch": 5.664,
|
1290 |
+
"grad_norm": 29.007001876831055,
|
1291 |
"learning_rate": 2.4038461538461542e-05,
|
1292 |
+
"loss": 0.0866,
|
1293 |
"step": 1770
|
1294 |
},
|
1295 |
{
|
1296 |
"epoch": 5.696,
|
1297 |
+
"grad_norm": 16.665626525878906,
|
1298 |
"learning_rate": 2.386039886039886e-05,
|
1299 |
+
"loss": 0.0931,
|
1300 |
"step": 1780
|
1301 |
},
|
1302 |
{
|
1303 |
"epoch": 5.728,
|
1304 |
+
"grad_norm": 6.438042163848877,
|
1305 |
"learning_rate": 2.3682336182336185e-05,
|
1306 |
+
"loss": 0.0905,
|
1307 |
"step": 1790
|
1308 |
},
|
1309 |
{
|
1310 |
"epoch": 5.76,
|
1311 |
+
"grad_norm": 26.61479949951172,
|
1312 |
"learning_rate": 2.3504273504273504e-05,
|
1313 |
+
"loss": 0.1292,
|
1314 |
"step": 1800
|
1315 |
},
|
1316 |
{
|
1317 |
"epoch": 5.792,
|
1318 |
+
"grad_norm": 22.947494506835938,
|
1319 |
"learning_rate": 2.332621082621083e-05,
|
1320 |
+
"loss": 0.0807,
|
1321 |
"step": 1810
|
1322 |
},
|
1323 |
{
|
1324 |
"epoch": 5.824,
|
1325 |
+
"grad_norm": 16.805652618408203,
|
1326 |
"learning_rate": 2.314814814814815e-05,
|
1327 |
+
"loss": 0.0634,
|
1328 |
"step": 1820
|
1329 |
},
|
1330 |
{
|
1331 |
"epoch": 5.856,
|
1332 |
+
"grad_norm": 31.196184158325195,
|
1333 |
"learning_rate": 2.297008547008547e-05,
|
1334 |
+
"loss": 0.0872,
|
1335 |
"step": 1830
|
1336 |
},
|
1337 |
{
|
1338 |
"epoch": 5.888,
|
1339 |
+
"grad_norm": 10.884623527526855,
|
1340 |
"learning_rate": 2.2792022792022794e-05,
|
1341 |
+
"loss": 0.0958,
|
1342 |
"step": 1840
|
1343 |
},
|
1344 |
{
|
1345 |
"epoch": 5.92,
|
1346 |
+
"grad_norm": 44.18009567260742,
|
1347 |
"learning_rate": 2.2613960113960116e-05,
|
1348 |
+
"loss": 0.1056,
|
1349 |
"step": 1850
|
1350 |
},
|
1351 |
{
|
1352 |
"epoch": 5.952,
|
1353 |
+
"grad_norm": 14.128731727600098,
|
1354 |
"learning_rate": 2.2435897435897437e-05,
|
1355 |
+
"loss": 0.0946,
|
1356 |
"step": 1860
|
1357 |
},
|
1358 |
{
|
1359 |
"epoch": 5.984,
|
1360 |
+
"grad_norm": 12.602348327636719,
|
1361 |
"learning_rate": 2.225783475783476e-05,
|
1362 |
+
"loss": 0.0723,
|
1363 |
"step": 1870
|
1364 |
},
|
1365 |
{
|
1366 |
"epoch": 6.0,
|
1367 |
+
"eval_accuracy": 0.7924882629107981,
|
1368 |
+
"eval_loss": 0.8276024460792542,
|
1369 |
+
"eval_runtime": 16.2265,
|
1370 |
+
"eval_samples_per_second": 65.633,
|
1371 |
+
"eval_steps_per_second": 2.095,
|
1372 |
"step": 1875
|
1373 |
},
|
1374 |
{
|
1375 |
"epoch": 6.016,
|
1376 |
+
"grad_norm": 18.401493072509766,
|
1377 |
"learning_rate": 2.207977207977208e-05,
|
1378 |
+
"loss": 0.0852,
|
1379 |
"step": 1880
|
1380 |
},
|
1381 |
{
|
1382 |
"epoch": 6.048,
|
1383 |
+
"grad_norm": 7.691855430603027,
|
1384 |
"learning_rate": 2.1901709401709402e-05,
|
1385 |
+
"loss": 0.0585,
|
1386 |
"step": 1890
|
1387 |
},
|
1388 |
{
|
1389 |
"epoch": 6.08,
|
1390 |
+
"grad_norm": 20.08210563659668,
|
1391 |
"learning_rate": 2.1723646723646724e-05,
|
1392 |
+
"loss": 0.07,
|
1393 |
"step": 1900
|
1394 |
},
|
1395 |
{
|
1396 |
"epoch": 6.112,
|
1397 |
+
"grad_norm": 12.808494567871094,
|
1398 |
"learning_rate": 2.1545584045584046e-05,
|
1399 |
+
"loss": 0.0951,
|
1400 |
"step": 1910
|
1401 |
},
|
1402 |
{
|
1403 |
"epoch": 6.144,
|
1404 |
+
"grad_norm": 15.134050369262695,
|
1405 |
"learning_rate": 2.1367521367521368e-05,
|
1406 |
+
"loss": 0.0642,
|
1407 |
"step": 1920
|
1408 |
},
|
1409 |
{
|
1410 |
"epoch": 6.176,
|
1411 |
+
"grad_norm": 10.28510570526123,
|
1412 |
"learning_rate": 2.1189458689458693e-05,
|
1413 |
+
"loss": 0.0808,
|
1414 |
"step": 1930
|
1415 |
},
|
1416 |
{
|
1417 |
"epoch": 6.208,
|
1418 |
+
"grad_norm": 14.190322875976562,
|
1419 |
"learning_rate": 2.101139601139601e-05,
|
1420 |
+
"loss": 0.0702,
|
1421 |
"step": 1940
|
1422 |
},
|
1423 |
{
|
1424 |
"epoch": 6.24,
|
1425 |
+
"grad_norm": 21.010963439941406,
|
1426 |
"learning_rate": 2.0833333333333336e-05,
|
1427 |
+
"loss": 0.079,
|
1428 |
"step": 1950
|
1429 |
},
|
1430 |
{
|
1431 |
"epoch": 6.272,
|
1432 |
+
"grad_norm": 18.102190017700195,
|
1433 |
"learning_rate": 2.0655270655270654e-05,
|
1434 |
+
"loss": 0.0977,
|
1435 |
"step": 1960
|
1436 |
},
|
1437 |
{
|
1438 |
"epoch": 6.304,
|
1439 |
+
"grad_norm": 14.988326072692871,
|
1440 |
"learning_rate": 2.047720797720798e-05,
|
1441 |
+
"loss": 0.0831,
|
1442 |
"step": 1970
|
1443 |
},
|
1444 |
{
|
1445 |
"epoch": 6.336,
|
1446 |
+
"grad_norm": 7.804359436035156,
|
1447 |
"learning_rate": 2.02991452991453e-05,
|
1448 |
+
"loss": 0.07,
|
1449 |
"step": 1980
|
1450 |
},
|
1451 |
{
|
1452 |
"epoch": 6.368,
|
1453 |
+
"grad_norm": 7.981973648071289,
|
1454 |
"learning_rate": 2.012108262108262e-05,
|
1455 |
+
"loss": 0.0953,
|
1456 |
"step": 1990
|
1457 |
},
|
1458 |
{
|
1459 |
"epoch": 6.4,
|
1460 |
+
"grad_norm": 16.495155334472656,
|
1461 |
"learning_rate": 1.9943019943019945e-05,
|
1462 |
+
"loss": 0.0714,
|
1463 |
"step": 2000
|
1464 |
},
|
1465 |
{
|
1466 |
"epoch": 6.432,
|
1467 |
+
"grad_norm": 20.57613182067871,
|
1468 |
"learning_rate": 1.9764957264957266e-05,
|
1469 |
+
"loss": 0.0729,
|
1470 |
"step": 2010
|
1471 |
},
|
1472 |
{
|
1473 |
"epoch": 6.464,
|
1474 |
+
"grad_norm": 9.313785552978516,
|
1475 |
"learning_rate": 1.9586894586894588e-05,
|
1476 |
+
"loss": 0.0715,
|
1477 |
"step": 2020
|
1478 |
},
|
1479 |
{
|
1480 |
"epoch": 6.496,
|
1481 |
+
"grad_norm": 23.951351165771484,
|
1482 |
"learning_rate": 1.940883190883191e-05,
|
1483 |
+
"loss": 0.0871,
|
1484 |
"step": 2030
|
1485 |
},
|
1486 |
{
|
1487 |
"epoch": 6.5280000000000005,
|
1488 |
+
"grad_norm": 18.672794342041016,
|
1489 |
"learning_rate": 1.923076923076923e-05,
|
1490 |
+
"loss": 0.0631,
|
1491 |
"step": 2040
|
1492 |
},
|
1493 |
{
|
1494 |
"epoch": 6.5600000000000005,
|
1495 |
+
"grad_norm": 15.373053550720215,
|
1496 |
"learning_rate": 1.9052706552706553e-05,
|
1497 |
+
"loss": 0.0767,
|
1498 |
"step": 2050
|
1499 |
},
|
1500 |
{
|
1501 |
"epoch": 6.592,
|
1502 |
+
"grad_norm": 13.307682991027832,
|
1503 |
"learning_rate": 1.8874643874643875e-05,
|
1504 |
+
"loss": 0.0803,
|
1505 |
"step": 2060
|
1506 |
},
|
1507 |
{
|
1508 |
"epoch": 6.624,
|
1509 |
+
"grad_norm": 15.382416725158691,
|
1510 |
"learning_rate": 1.8696581196581197e-05,
|
1511 |
+
"loss": 0.058,
|
1512 |
"step": 2070
|
1513 |
},
|
1514 |
{
|
1515 |
"epoch": 6.656,
|
1516 |
+
"grad_norm": 25.57972526550293,
|
1517 |
"learning_rate": 1.8518518518518518e-05,
|
1518 |
+
"loss": 0.0866,
|
1519 |
"step": 2080
|
1520 |
},
|
1521 |
{
|
1522 |
"epoch": 6.688,
|
1523 |
+
"grad_norm": 11.426902770996094,
|
1524 |
"learning_rate": 1.8340455840455843e-05,
|
1525 |
+
"loss": 0.0435,
|
1526 |
"step": 2090
|
1527 |
},
|
1528 |
{
|
1529 |
"epoch": 6.72,
|
1530 |
+
"grad_norm": 10.57555866241455,
|
1531 |
"learning_rate": 1.8162393162393162e-05,
|
1532 |
+
"loss": 0.0532,
|
1533 |
"step": 2100
|
1534 |
},
|
1535 |
{
|
1536 |
"epoch": 6.752,
|
1537 |
+
"grad_norm": 14.774798393249512,
|
1538 |
"learning_rate": 1.7984330484330487e-05,
|
1539 |
+
"loss": 0.0848,
|
1540 |
"step": 2110
|
1541 |
},
|
1542 |
{
|
1543 |
"epoch": 6.784,
|
1544 |
+
"grad_norm": 22.849029541015625,
|
1545 |
"learning_rate": 1.7806267806267805e-05,
|
1546 |
+
"loss": 0.0698,
|
1547 |
"step": 2120
|
1548 |
},
|
1549 |
{
|
1550 |
"epoch": 6.816,
|
1551 |
+
"grad_norm": 8.238070487976074,
|
1552 |
"learning_rate": 1.762820512820513e-05,
|
1553 |
+
"loss": 0.074,
|
1554 |
"step": 2130
|
1555 |
},
|
1556 |
{
|
1557 |
"epoch": 6.848,
|
1558 |
+
"grad_norm": 8.715176582336426,
|
1559 |
"learning_rate": 1.7450142450142452e-05,
|
1560 |
+
"loss": 0.081,
|
1561 |
"step": 2140
|
1562 |
},
|
1563 |
{
|
1564 |
"epoch": 6.88,
|
1565 |
+
"grad_norm": 7.292199611663818,
|
1566 |
"learning_rate": 1.727207977207977e-05,
|
1567 |
+
"loss": 0.0728,
|
1568 |
"step": 2150
|
1569 |
},
|
1570 |
{
|
1571 |
"epoch": 6.912,
|
1572 |
+
"grad_norm": 10.9399995803833,
|
1573 |
"learning_rate": 1.7094017094017095e-05,
|
1574 |
+
"loss": 0.0742,
|
1575 |
"step": 2160
|
1576 |
},
|
1577 |
{
|
1578 |
"epoch": 6.944,
|
1579 |
+
"grad_norm": 20.793378829956055,
|
1580 |
"learning_rate": 1.6915954415954417e-05,
|
1581 |
+
"loss": 0.0662,
|
1582 |
"step": 2170
|
1583 |
},
|
1584 |
{
|
1585 |
"epoch": 6.976,
|
1586 |
+
"grad_norm": 11.476004600524902,
|
1587 |
"learning_rate": 1.673789173789174e-05,
|
1588 |
+
"loss": 0.0656,
|
1589 |
"step": 2180
|
1590 |
},
|
1591 |
{
|
1592 |
"epoch": 6.9984,
|
1593 |
+
"eval_accuracy": 0.895774647887324,
|
1594 |
+
"eval_loss": 0.3423428237438202,
|
1595 |
+
"eval_runtime": 16.2162,
|
1596 |
+
"eval_samples_per_second": 65.675,
|
1597 |
+
"eval_steps_per_second": 2.097,
|
1598 |
"step": 2187
|
1599 |
},
|
1600 |
{
|
1601 |
"epoch": 7.008,
|
1602 |
+
"grad_norm": 8.697748184204102,
|
1603 |
"learning_rate": 1.655982905982906e-05,
|
1604 |
+
"loss": 0.0538,
|
1605 |
"step": 2190
|
1606 |
},
|
1607 |
{
|
1608 |
"epoch": 7.04,
|
1609 |
+
"grad_norm": 11.475558280944824,
|
1610 |
"learning_rate": 1.6381766381766382e-05,
|
1611 |
+
"loss": 0.0595,
|
1612 |
"step": 2200
|
1613 |
},
|
1614 |
{
|
1615 |
"epoch": 7.072,
|
1616 |
+
"grad_norm": 18.916088104248047,
|
1617 |
"learning_rate": 1.6203703703703704e-05,
|
1618 |
+
"loss": 0.054,
|
1619 |
"step": 2210
|
1620 |
},
|
1621 |
{
|
1622 |
"epoch": 7.104,
|
1623 |
+
"grad_norm": 16.337879180908203,
|
1624 |
"learning_rate": 1.602564102564103e-05,
|
1625 |
+
"loss": 0.0588,
|
1626 |
"step": 2220
|
1627 |
},
|
1628 |
{
|
1629 |
"epoch": 7.136,
|
1630 |
+
"grad_norm": 50.64964294433594,
|
1631 |
"learning_rate": 1.5847578347578347e-05,
|
1632 |
+
"loss": 0.078,
|
1633 |
"step": 2230
|
1634 |
},
|
1635 |
{
|
1636 |
"epoch": 7.168,
|
1637 |
+
"grad_norm": 12.643454551696777,
|
1638 |
"learning_rate": 1.566951566951567e-05,
|
1639 |
+
"loss": 0.061,
|
1640 |
"step": 2240
|
1641 |
},
|
1642 |
{
|
1643 |
"epoch": 7.2,
|
1644 |
+
"grad_norm": 9.207147598266602,
|
1645 |
"learning_rate": 1.5491452991452994e-05,
|
1646 |
+
"loss": 0.0858,
|
1647 |
"step": 2250
|
1648 |
},
|
1649 |
{
|
1650 |
"epoch": 7.232,
|
1651 |
+
"grad_norm": 13.683488845825195,
|
1652 |
"learning_rate": 1.5313390313390312e-05,
|
1653 |
+
"loss": 0.0641,
|
1654 |
"step": 2260
|
1655 |
},
|
1656 |
{
|
1657 |
"epoch": 7.264,
|
1658 |
+
"grad_norm": 15.510147094726562,
|
1659 |
"learning_rate": 1.5135327635327638e-05,
|
1660 |
+
"loss": 0.0609,
|
1661 |
"step": 2270
|
1662 |
},
|
1663 |
{
|
1664 |
"epoch": 7.296,
|
1665 |
+
"grad_norm": 11.573060989379883,
|
1666 |
"learning_rate": 1.4957264957264958e-05,
|
1667 |
+
"loss": 0.0537,
|
1668 |
"step": 2280
|
1669 |
},
|
1670 |
{
|
1671 |
"epoch": 7.328,
|
1672 |
+
"grad_norm": 14.698716163635254,
|
1673 |
"learning_rate": 1.4779202279202281e-05,
|
1674 |
+
"loss": 0.0443,
|
1675 |
"step": 2290
|
1676 |
},
|
1677 |
{
|
1678 |
"epoch": 7.36,
|
1679 |
+
"grad_norm": 48.410911560058594,
|
1680 |
"learning_rate": 1.4601139601139601e-05,
|
1681 |
+
"loss": 0.0667,
|
1682 |
"step": 2300
|
1683 |
},
|
1684 |
{
|
1685 |
"epoch": 7.392,
|
1686 |
+
"grad_norm": 19.12745475769043,
|
1687 |
"learning_rate": 1.4423076923076923e-05,
|
1688 |
+
"loss": 0.0833,
|
1689 |
"step": 2310
|
1690 |
},
|
1691 |
{
|
1692 |
"epoch": 7.424,
|
1693 |
+
"grad_norm": 6.480365753173828,
|
1694 |
"learning_rate": 1.4245014245014246e-05,
|
1695 |
+
"loss": 0.057,
|
1696 |
"step": 2320
|
1697 |
},
|
1698 |
{
|
1699 |
"epoch": 7.456,
|
1700 |
+
"grad_norm": 18.375783920288086,
|
1701 |
"learning_rate": 1.4066951566951566e-05,
|
1702 |
+
"loss": 0.066,
|
1703 |
"step": 2330
|
1704 |
},
|
1705 |
{
|
1706 |
"epoch": 7.4879999999999995,
|
1707 |
+
"grad_norm": 19.94139289855957,
|
1708 |
"learning_rate": 1.388888888888889e-05,
|
1709 |
+
"loss": 0.057,
|
1710 |
"step": 2340
|
1711 |
},
|
1712 |
{
|
1713 |
"epoch": 7.52,
|
1714 |
+
"grad_norm": 4.120523929595947,
|
1715 |
"learning_rate": 1.3710826210826211e-05,
|
1716 |
+
"loss": 0.0513,
|
1717 |
"step": 2350
|
1718 |
},
|
1719 |
{
|
1720 |
"epoch": 7.552,
|
1721 |
+
"grad_norm": 12.98390007019043,
|
1722 |
"learning_rate": 1.3532763532763535e-05,
|
1723 |
+
"loss": 0.0409,
|
1724 |
"step": 2360
|
1725 |
},
|
1726 |
{
|
1727 |
"epoch": 7.584,
|
1728 |
+
"grad_norm": 27.580427169799805,
|
1729 |
"learning_rate": 1.3354700854700855e-05,
|
1730 |
+
"loss": 0.0448,
|
1731 |
"step": 2370
|
1732 |
},
|
1733 |
{
|
1734 |
"epoch": 7.616,
|
1735 |
+
"grad_norm": 6.511716842651367,
|
1736 |
"learning_rate": 1.3176638176638178e-05,
|
1737 |
+
"loss": 0.0715,
|
1738 |
"step": 2380
|
1739 |
},
|
1740 |
{
|
1741 |
"epoch": 7.648,
|
1742 |
+
"grad_norm": 20.728763580322266,
|
1743 |
"learning_rate": 1.29985754985755e-05,
|
1744 |
+
"loss": 0.06,
|
1745 |
"step": 2390
|
1746 |
},
|
1747 |
{
|
1748 |
"epoch": 7.68,
|
1749 |
+
"grad_norm": 55.55878448486328,
|
1750 |
"learning_rate": 1.282051282051282e-05,
|
1751 |
+
"loss": 0.0589,
|
1752 |
"step": 2400
|
1753 |
},
|
1754 |
{
|
1755 |
"epoch": 7.712,
|
1756 |
+
"grad_norm": 15.75649642944336,
|
1757 |
"learning_rate": 1.2642450142450143e-05,
|
1758 |
+
"loss": 0.0716,
|
1759 |
"step": 2410
|
1760 |
},
|
1761 |
{
|
1762 |
"epoch": 7.744,
|
1763 |
+
"grad_norm": 6.725178241729736,
|
1764 |
"learning_rate": 1.2464387464387465e-05,
|
1765 |
+
"loss": 0.048,
|
1766 |
"step": 2420
|
1767 |
},
|
1768 |
{
|
1769 |
"epoch": 7.776,
|
1770 |
+
"grad_norm": 16.96969985961914,
|
1771 |
"learning_rate": 1.2286324786324787e-05,
|
1772 |
+
"loss": 0.056,
|
1773 |
"step": 2430
|
1774 |
},
|
1775 |
{
|
1776 |
"epoch": 7.808,
|
1777 |
+
"grad_norm": 12.85951042175293,
|
1778 |
"learning_rate": 1.2108262108262108e-05,
|
1779 |
+
"loss": 0.0534,
|
1780 |
"step": 2440
|
1781 |
},
|
1782 |
{
|
1783 |
"epoch": 7.84,
|
1784 |
+
"grad_norm": 3.358398675918579,
|
1785 |
"learning_rate": 1.193019943019943e-05,
|
1786 |
+
"loss": 0.0522,
|
1787 |
"step": 2450
|
1788 |
},
|
1789 |
{
|
1790 |
"epoch": 7.872,
|
1791 |
+
"grad_norm": 21.787321090698242,
|
1792 |
"learning_rate": 1.1752136752136752e-05,
|
1793 |
+
"loss": 0.0689,
|
1794 |
"step": 2460
|
1795 |
},
|
1796 |
{
|
1797 |
"epoch": 7.904,
|
1798 |
+
"grad_norm": 11.33475399017334,
|
1799 |
"learning_rate": 1.1574074074074075e-05,
|
1800 |
+
"loss": 0.0492,
|
1801 |
"step": 2470
|
1802 |
},
|
1803 |
{
|
1804 |
"epoch": 7.936,
|
1805 |
+
"grad_norm": 33.44040298461914,
|
1806 |
"learning_rate": 1.1396011396011397e-05,
|
1807 |
+
"loss": 0.0573,
|
1808 |
"step": 2480
|
1809 |
},
|
1810 |
{
|
1811 |
"epoch": 7.968,
|
1812 |
+
"grad_norm": 13.059186935424805,
|
1813 |
"learning_rate": 1.1217948717948719e-05,
|
1814 |
+
"loss": 0.0443,
|
1815 |
"step": 2490
|
1816 |
},
|
1817 |
{
|
1818 |
"epoch": 8.0,
|
1819 |
+
"grad_norm": 17.491514205932617,
|
1820 |
"learning_rate": 1.103988603988604e-05,
|
1821 |
+
"loss": 0.0419,
|
1822 |
"step": 2500
|
1823 |
},
|
1824 |
{
|
1825 |
"epoch": 8.0,
|
1826 |
+
"eval_accuracy": 0.8769953051643192,
|
1827 |
+
"eval_loss": 0.5878553986549377,
|
1828 |
+
"eval_runtime": 15.5797,
|
1829 |
+
"eval_samples_per_second": 68.358,
|
1830 |
+
"eval_steps_per_second": 2.182,
|
1831 |
"step": 2500
|
1832 |
},
|
1833 |
{
|
1834 |
"epoch": 8.032,
|
1835 |
+
"grad_norm": 13.065751075744629,
|
1836 |
"learning_rate": 1.0861823361823362e-05,
|
1837 |
+
"loss": 0.0444,
|
1838 |
"step": 2510
|
1839 |
},
|
1840 |
{
|
1841 |
"epoch": 8.064,
|
1842 |
+
"grad_norm": 5.708134174346924,
|
1843 |
"learning_rate": 1.0683760683760684e-05,
|
1844 |
+
"loss": 0.0526,
|
1845 |
"step": 2520
|
1846 |
},
|
1847 |
{
|
1848 |
"epoch": 8.096,
|
1849 |
+
"grad_norm": 5.087850570678711,
|
1850 |
"learning_rate": 1.0505698005698005e-05,
|
1851 |
+
"loss": 0.0438,
|
1852 |
"step": 2530
|
1853 |
},
|
1854 |
{
|
1855 |
"epoch": 8.128,
|
1856 |
+
"grad_norm": 13.717277526855469,
|
1857 |
"learning_rate": 1.0327635327635327e-05,
|
1858 |
+
"loss": 0.0436,
|
1859 |
"step": 2540
|
1860 |
},
|
1861 |
{
|
1862 |
"epoch": 8.16,
|
1863 |
+
"grad_norm": 20.8705997467041,
|
1864 |
"learning_rate": 1.014957264957265e-05,
|
1865 |
+
"loss": 0.0397,
|
1866 |
"step": 2550
|
1867 |
},
|
1868 |
{
|
1869 |
"epoch": 8.192,
|
1870 |
+
"grad_norm": 15.591662406921387,
|
1871 |
"learning_rate": 9.971509971509972e-06,
|
1872 |
+
"loss": 0.0523,
|
1873 |
"step": 2560
|
1874 |
},
|
1875 |
{
|
1876 |
"epoch": 8.224,
|
1877 |
+
"grad_norm": 25.442882537841797,
|
1878 |
"learning_rate": 9.793447293447294e-06,
|
1879 |
+
"loss": 0.0506,
|
1880 |
"step": 2570
|
1881 |
},
|
1882 |
{
|
1883 |
"epoch": 8.256,
|
1884 |
+
"grad_norm": 17.579599380493164,
|
1885 |
"learning_rate": 9.615384615384616e-06,
|
1886 |
+
"loss": 0.0431,
|
1887 |
"step": 2580
|
1888 |
},
|
1889 |
{
|
1890 |
"epoch": 8.288,
|
1891 |
+
"grad_norm": 19.1536922454834,
|
1892 |
"learning_rate": 9.437321937321937e-06,
|
1893 |
+
"loss": 0.0499,
|
1894 |
"step": 2590
|
1895 |
},
|
1896 |
{
|
1897 |
"epoch": 8.32,
|
1898 |
+
"grad_norm": 2.3261446952819824,
|
1899 |
"learning_rate": 9.259259259259259e-06,
|
1900 |
+
"loss": 0.0468,
|
1901 |
"step": 2600
|
1902 |
},
|
1903 |
{
|
1904 |
"epoch": 8.352,
|
1905 |
+
"grad_norm": 10.36978816986084,
|
1906 |
"learning_rate": 9.081196581196581e-06,
|
1907 |
+
"loss": 0.0501,
|
1908 |
"step": 2610
|
1909 |
},
|
1910 |
{
|
1911 |
"epoch": 8.384,
|
1912 |
+
"grad_norm": 8.601365089416504,
|
1913 |
"learning_rate": 8.903133903133903e-06,
|
1914 |
+
"loss": 0.0412,
|
1915 |
"step": 2620
|
1916 |
},
|
1917 |
{
|
1918 |
"epoch": 8.416,
|
1919 |
+
"grad_norm": 23.900691986083984,
|
1920 |
"learning_rate": 8.725071225071226e-06,
|
1921 |
+
"loss": 0.049,
|
1922 |
"step": 2630
|
1923 |
},
|
1924 |
{
|
1925 |
"epoch": 8.448,
|
1926 |
+
"grad_norm": 20.452377319335938,
|
1927 |
"learning_rate": 8.547008547008548e-06,
|
1928 |
+
"loss": 0.0612,
|
1929 |
"step": 2640
|
1930 |
},
|
1931 |
{
|
1932 |
"epoch": 8.48,
|
1933 |
+
"grad_norm": 13.286907196044922,
|
1934 |
"learning_rate": 8.36894586894587e-06,
|
1935 |
+
"loss": 0.0435,
|
1936 |
"step": 2650
|
1937 |
},
|
1938 |
{
|
1939 |
"epoch": 8.512,
|
1940 |
+
"grad_norm": 4.822972297668457,
|
1941 |
"learning_rate": 8.190883190883191e-06,
|
1942 |
+
"loss": 0.048,
|
1943 |
"step": 2660
|
1944 |
},
|
1945 |
{
|
1946 |
"epoch": 8.544,
|
1947 |
+
"grad_norm": 12.461104393005371,
|
1948 |
"learning_rate": 8.012820512820515e-06,
|
1949 |
+
"loss": 0.0457,
|
1950 |
"step": 2670
|
1951 |
},
|
1952 |
{
|
1953 |
"epoch": 8.576,
|
1954 |
+
"grad_norm": 5.80748176574707,
|
1955 |
"learning_rate": 7.834757834757835e-06,
|
1956 |
+
"loss": 0.0481,
|
1957 |
"step": 2680
|
1958 |
},
|
1959 |
{
|
1960 |
"epoch": 8.608,
|
1961 |
+
"grad_norm": 17.747467041015625,
|
1962 |
"learning_rate": 7.656695156695156e-06,
|
1963 |
+
"loss": 0.0466,
|
1964 |
"step": 2690
|
1965 |
},
|
1966 |
{
|
1967 |
"epoch": 8.64,
|
1968 |
+
"grad_norm": 10.208796501159668,
|
1969 |
"learning_rate": 7.478632478632479e-06,
|
1970 |
+
"loss": 0.0427,
|
1971 |
"step": 2700
|
1972 |
},
|
1973 |
{
|
1974 |
"epoch": 8.672,
|
1975 |
+
"grad_norm": 2.8920395374298096,
|
1976 |
"learning_rate": 7.3005698005698005e-06,
|
1977 |
+
"loss": 0.0312,
|
1978 |
"step": 2710
|
1979 |
},
|
1980 |
{
|
1981 |
"epoch": 8.704,
|
1982 |
+
"grad_norm": 15.091995239257812,
|
1983 |
"learning_rate": 7.122507122507123e-06,
|
1984 |
+
"loss": 0.0518,
|
1985 |
"step": 2720
|
1986 |
},
|
1987 |
{
|
1988 |
"epoch": 8.736,
|
1989 |
+
"grad_norm": 3.1350409984588623,
|
1990 |
"learning_rate": 6.944444444444445e-06,
|
1991 |
+
"loss": 0.0557,
|
1992 |
"step": 2730
|
1993 |
},
|
1994 |
{
|
1995 |
"epoch": 8.768,
|
1996 |
+
"grad_norm": 17.688913345336914,
|
1997 |
"learning_rate": 6.766381766381767e-06,
|
1998 |
+
"loss": 0.0393,
|
1999 |
"step": 2740
|
2000 |
},
|
2001 |
{
|
2002 |
"epoch": 8.8,
|
2003 |
+
"grad_norm": 6.558457851409912,
|
2004 |
"learning_rate": 6.588319088319089e-06,
|
2005 |
+
"loss": 0.0434,
|
2006 |
"step": 2750
|
2007 |
},
|
2008 |
{
|
2009 |
"epoch": 8.832,
|
2010 |
+
"grad_norm": 2.839106798171997,
|
2011 |
"learning_rate": 6.41025641025641e-06,
|
2012 |
+
"loss": 0.0425,
|
2013 |
"step": 2760
|
2014 |
},
|
2015 |
{
|
2016 |
"epoch": 8.864,
|
2017 |
+
"grad_norm": 7.894480228424072,
|
2018 |
"learning_rate": 6.2321937321937325e-06,
|
2019 |
+
"loss": 0.0409,
|
2020 |
"step": 2770
|
2021 |
},
|
2022 |
{
|
2023 |
"epoch": 8.896,
|
2024 |
+
"grad_norm": 17.717144012451172,
|
2025 |
"learning_rate": 6.054131054131054e-06,
|
2026 |
+
"loss": 0.0402,
|
2027 |
"step": 2780
|
2028 |
},
|
2029 |
{
|
2030 |
"epoch": 8.928,
|
2031 |
+
"grad_norm": 6.443696022033691,
|
2032 |
"learning_rate": 5.876068376068376e-06,
|
2033 |
+
"loss": 0.0463,
|
2034 |
"step": 2790
|
2035 |
},
|
2036 |
{
|
2037 |
"epoch": 8.96,
|
2038 |
+
"grad_norm": 19.47768211364746,
|
2039 |
"learning_rate": 5.6980056980056985e-06,
|
2040 |
+
"loss": 0.0503,
|
2041 |
"step": 2800
|
2042 |
},
|
2043 |
{
|
2044 |
"epoch": 8.992,
|
2045 |
+
"grad_norm": 15.27401351928711,
|
2046 |
"learning_rate": 5.51994301994302e-06,
|
2047 |
+
"loss": 0.0469,
|
2048 |
"step": 2810
|
2049 |
},
|
2050 |
{
|
2051 |
"epoch": 8.9984,
|
2052 |
+
"eval_accuracy": 0.8854460093896713,
|
2053 |
+
"eval_loss": 0.5125524997711182,
|
2054 |
+
"eval_runtime": 14.9538,
|
2055 |
+
"eval_samples_per_second": 71.219,
|
2056 |
+
"eval_steps_per_second": 2.274,
|
2057 |
"step": 2812
|
2058 |
},
|
2059 |
{
|
2060 |
"epoch": 9.024,
|
2061 |
+
"grad_norm": 4.765958786010742,
|
2062 |
"learning_rate": 5.341880341880342e-06,
|
2063 |
+
"loss": 0.0294,
|
2064 |
"step": 2820
|
2065 |
},
|
2066 |
{
|
2067 |
"epoch": 9.056,
|
2068 |
+
"grad_norm": 7.613553524017334,
|
2069 |
"learning_rate": 5.163817663817664e-06,
|
2070 |
+
"loss": 0.0431,
|
2071 |
"step": 2830
|
2072 |
},
|
2073 |
{
|
2074 |
"epoch": 9.088,
|
2075 |
+
"grad_norm": 5.009788990020752,
|
2076 |
"learning_rate": 4.985754985754986e-06,
|
2077 |
+
"loss": 0.0298,
|
2078 |
"step": 2840
|
2079 |
},
|
2080 |
{
|
2081 |
"epoch": 9.12,
|
2082 |
+
"grad_norm": 5.033410549163818,
|
2083 |
"learning_rate": 4.807692307692308e-06,
|
2084 |
+
"loss": 0.0355,
|
2085 |
"step": 2850
|
2086 |
},
|
2087 |
{
|
2088 |
"epoch": 9.152,
|
2089 |
+
"grad_norm": 14.746557235717773,
|
2090 |
"learning_rate": 4.6296296296296296e-06,
|
2091 |
+
"loss": 0.0335,
|
2092 |
"step": 2860
|
2093 |
},
|
2094 |
{
|
2095 |
"epoch": 9.184,
|
2096 |
+
"grad_norm": 14.290383338928223,
|
2097 |
"learning_rate": 4.451566951566951e-06,
|
2098 |
+
"loss": 0.0389,
|
2099 |
"step": 2870
|
2100 |
},
|
2101 |
{
|
2102 |
"epoch": 9.216,
|
2103 |
+
"grad_norm": 2.576585054397583,
|
2104 |
"learning_rate": 4.273504273504274e-06,
|
2105 |
+
"loss": 0.0301,
|
2106 |
"step": 2880
|
2107 |
},
|
2108 |
{
|
2109 |
"epoch": 9.248,
|
2110 |
+
"grad_norm": 10.129234313964844,
|
2111 |
"learning_rate": 4.0954415954415956e-06,
|
2112 |
+
"loss": 0.031,
|
2113 |
"step": 2890
|
2114 |
},
|
2115 |
{
|
2116 |
"epoch": 9.28,
|
2117 |
+
"grad_norm": 33.465911865234375,
|
2118 |
"learning_rate": 3.917378917378917e-06,
|
2119 |
+
"loss": 0.0506,
|
2120 |
"step": 2900
|
2121 |
},
|
2122 |
{
|
2123 |
"epoch": 9.312,
|
2124 |
+
"grad_norm": 24.806825637817383,
|
2125 |
"learning_rate": 3.7393162393162394e-06,
|
2126 |
+
"loss": 0.0521,
|
2127 |
"step": 2910
|
2128 |
},
|
2129 |
{
|
2130 |
"epoch": 9.344,
|
2131 |
+
"grad_norm": 4.5822248458862305,
|
2132 |
"learning_rate": 3.5612535612535615e-06,
|
2133 |
+
"loss": 0.0363,
|
2134 |
"step": 2920
|
2135 |
},
|
2136 |
{
|
2137 |
"epoch": 9.376,
|
2138 |
+
"grad_norm": 5.783382892608643,
|
2139 |
"learning_rate": 3.3831908831908837e-06,
|
2140 |
+
"loss": 0.0393,
|
2141 |
"step": 2930
|
2142 |
},
|
2143 |
{
|
2144 |
"epoch": 9.408,
|
2145 |
+
"grad_norm": 5.785057067871094,
|
2146 |
"learning_rate": 3.205128205128205e-06,
|
2147 |
+
"loss": 0.0449,
|
2148 |
"step": 2940
|
2149 |
},
|
2150 |
{
|
2151 |
"epoch": 9.44,
|
2152 |
+
"grad_norm": 31.970163345336914,
|
2153 |
"learning_rate": 3.027065527065527e-06,
|
2154 |
+
"loss": 0.0363,
|
2155 |
"step": 2950
|
2156 |
},
|
2157 |
{
|
2158 |
"epoch": 9.472,
|
2159 |
+
"grad_norm": 8.819344520568848,
|
2160 |
"learning_rate": 2.8490028490028492e-06,
|
2161 |
+
"loss": 0.0267,
|
2162 |
"step": 2960
|
2163 |
},
|
2164 |
{
|
2165 |
"epoch": 9.504,
|
2166 |
+
"grad_norm": 18.424638748168945,
|
2167 |
"learning_rate": 2.670940170940171e-06,
|
2168 |
+
"loss": 0.0382,
|
2169 |
"step": 2970
|
2170 |
},
|
2171 |
{
|
2172 |
"epoch": 9.536,
|
2173 |
+
"grad_norm": 2.756587266921997,
|
2174 |
"learning_rate": 2.492877492877493e-06,
|
2175 |
+
"loss": 0.0241,
|
2176 |
"step": 2980
|
2177 |
},
|
2178 |
{
|
2179 |
"epoch": 9.568,
|
2180 |
+
"grad_norm": 25.5931339263916,
|
2181 |
"learning_rate": 2.3148148148148148e-06,
|
2182 |
+
"loss": 0.0449,
|
2183 |
"step": 2990
|
2184 |
},
|
2185 |
{
|
2186 |
"epoch": 9.6,
|
2187 |
+
"grad_norm": 7.068244457244873,
|
2188 |
"learning_rate": 2.136752136752137e-06,
|
2189 |
+
"loss": 0.0443,
|
2190 |
"step": 3000
|
2191 |
},
|
2192 |
{
|
2193 |
"epoch": 9.632,
|
2194 |
+
"grad_norm": 12.082342147827148,
|
2195 |
"learning_rate": 1.9586894586894586e-06,
|
2196 |
+
"loss": 0.0424,
|
2197 |
"step": 3010
|
2198 |
},
|
2199 |
{
|
2200 |
"epoch": 9.664,
|
2201 |
+
"grad_norm": 9.575368881225586,
|
2202 |
"learning_rate": 1.7806267806267808e-06,
|
2203 |
+
"loss": 0.0329,
|
2204 |
"step": 3020
|
2205 |
},
|
2206 |
{
|
2207 |
"epoch": 9.696,
|
2208 |
+
"grad_norm": 7.043597221374512,
|
2209 |
"learning_rate": 1.6025641025641025e-06,
|
2210 |
+
"loss": 0.031,
|
2211 |
"step": 3030
|
2212 |
},
|
2213 |
{
|
2214 |
"epoch": 9.728,
|
2215 |
+
"grad_norm": 12.78835391998291,
|
2216 |
"learning_rate": 1.4245014245014246e-06,
|
2217 |
+
"loss": 0.0268,
|
2218 |
"step": 3040
|
2219 |
},
|
2220 |
{
|
2221 |
"epoch": 9.76,
|
2222 |
+
"grad_norm": 20.406585693359375,
|
2223 |
"learning_rate": 1.2464387464387465e-06,
|
2224 |
+
"loss": 0.0494,
|
2225 |
"step": 3050
|
2226 |
},
|
2227 |
{
|
2228 |
"epoch": 9.792,
|
2229 |
+
"grad_norm": 22.336284637451172,
|
2230 |
"learning_rate": 1.0683760683760685e-06,
|
2231 |
+
"loss": 0.0427,
|
2232 |
"step": 3060
|
2233 |
},
|
2234 |
{
|
2235 |
"epoch": 9.824,
|
2236 |
+
"grad_norm": 9.303606986999512,
|
2237 |
"learning_rate": 8.903133903133904e-07,
|
2238 |
+
"loss": 0.0304,
|
2239 |
"step": 3070
|
2240 |
},
|
2241 |
{
|
2242 |
"epoch": 9.856,
|
2243 |
+
"grad_norm": 6.416520595550537,
|
2244 |
"learning_rate": 7.122507122507123e-07,
|
2245 |
+
"loss": 0.0468,
|
2246 |
"step": 3080
|
2247 |
},
|
2248 |
{
|
2249 |
"epoch": 9.888,
|
2250 |
+
"grad_norm": 14.013386726379395,
|
2251 |
"learning_rate": 5.341880341880342e-07,
|
2252 |
+
"loss": 0.027,
|
2253 |
"step": 3090
|
2254 |
},
|
2255 |
{
|
2256 |
"epoch": 9.92,
|
2257 |
+
"grad_norm": 5.910660266876221,
|
2258 |
"learning_rate": 3.5612535612535615e-07,
|
2259 |
+
"loss": 0.04,
|
2260 |
"step": 3100
|
2261 |
},
|
2262 |
{
|
2263 |
"epoch": 9.952,
|
2264 |
+
"grad_norm": 11.427671432495117,
|
2265 |
"learning_rate": 1.7806267806267808e-07,
|
2266 |
+
"loss": 0.0239,
|
2267 |
"step": 3110
|
2268 |
},
|
2269 |
{
|
2270 |
"epoch": 9.984,
|
2271 |
+
"grad_norm": 4.808414936065674,
|
2272 |
"learning_rate": 0.0,
|
2273 |
+
"loss": 0.0302,
|
2274 |
"step": 3120
|
2275 |
},
|
2276 |
{
|
2277 |
"epoch": 9.984,
|
2278 |
+
"eval_accuracy": 0.8807511737089202,
|
2279 |
+
"eval_loss": 0.606827437877655,
|
2280 |
+
"eval_runtime": 15.744,
|
2281 |
+
"eval_samples_per_second": 67.645,
|
2282 |
+
"eval_steps_per_second": 2.16,
|
2283 |
"step": 3120
|
2284 |
},
|
2285 |
{
|
2286 |
"epoch": 9.984,
|
2287 |
"step": 3120,
|
2288 |
"total_flos": 9.926487761391452e+18,
|
2289 |
+
"train_loss": 0.15854326258771695,
|
2290 |
+
"train_runtime": 146927.3485,
|
2291 |
+
"train_samples_per_second": 2.722,
|
2292 |
+
"train_steps_per_second": 0.021
|
2293 |
}
|
2294 |
],
|
2295 |
"logging_steps": 10,
|