🍻 cheers
Browse files- README.md +6 -5
- all_results.json +10 -10
- eval_results.json +5 -5
- runs/May05_19-40-36_9c8f6c45512e/events.out.tfevents.1714939591.9c8f6c45512e.34.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +1303 -1254
README.md
CHANGED
@@ -2,6 +2,7 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-base-patch16-224-in21k
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- imagefolder
|
@@ -14,7 +15,7 @@ model-index:
|
|
14 |
name: Image Classification
|
15 |
type: image-classification
|
16 |
dataset:
|
17 |
-
name:
|
18 |
type: imagefolder
|
19 |
config: default
|
20 |
split: train
|
@@ -22,7 +23,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -30,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
30 |
|
31 |
# Action_all_10_class
|
32 |
|
33 |
-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 0.
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-base-patch16-224-in21k
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
- generated_from_trainer
|
7 |
datasets:
|
8 |
- imagefolder
|
|
|
15 |
name: Image Classification
|
16 |
type: image-classification
|
17 |
dataset:
|
18 |
+
name: Action_small_dataset
|
19 |
type: imagefolder
|
20 |
config: default
|
21 |
split: train
|
|
|
23 |
metrics:
|
24 |
- name: Accuracy
|
25 |
type: accuracy
|
26 |
+
value: 0.8752556237218814
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
31 |
|
32 |
# Action_all_10_class
|
33 |
|
34 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the Action_small_dataset dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 0.4228
|
37 |
+
- Accuracy: 0.8753
|
38 |
|
39 |
## Model description
|
40 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 9.
|
8 |
-
"total_flos": 3.
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 1.
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.8752556237218814,
|
4 |
+
"eval_loss": 0.42281925678253174,
|
5 |
+
"eval_runtime": 13.2413,
|
6 |
+
"eval_samples_per_second": 73.86,
|
7 |
+
"eval_steps_per_second": 9.289,
|
8 |
+
"total_flos": 3.451740694569861e+18,
|
9 |
+
"train_loss": 0.45333294201922675,
|
10 |
+
"train_runtime": 1524.4216,
|
11 |
+
"train_samples_per_second": 29.218,
|
12 |
+
"train_steps_per_second": 1.83
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 9.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.8752556237218814,
|
4 |
+
"eval_loss": 0.42281925678253174,
|
5 |
+
"eval_runtime": 13.2413,
|
6 |
+
"eval_samples_per_second": 73.86,
|
7 |
+
"eval_steps_per_second": 9.289
|
8 |
}
|
runs/May05_19-40-36_9c8f6c45512e/events.out.tfevents.1714939591.9c8f6c45512e.34.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:549c368dc602d66ed7ad02f0dd83c42be596fe51a5088662e3162ec45d735d25
|
3 |
+
size 411
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
-
"total_flos": 3.
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 1.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
+
"total_flos": 3.451740694569861e+18,
|
4 |
+
"train_loss": 0.45333294201922675,
|
5 |
+
"train_runtime": 1524.4216,
|
6 |
+
"train_samples_per_second": 29.218,
|
7 |
+
"train_steps_per_second": 1.83
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,2176 +1,2225 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "Action_all_10_class/checkpoint-
|
4 |
"epoch": 10.0,
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.04,
|
13 |
-
"grad_norm": 1.
|
14 |
-
"learning_rate": 9.
|
15 |
-
"loss": 2.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.07,
|
20 |
-
"grad_norm": 1.
|
21 |
-
"learning_rate": 9.
|
22 |
"loss": 2.1701,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.11,
|
27 |
-
"grad_norm": 1.
|
28 |
-
"learning_rate": 9.
|
29 |
-
"loss": 2.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate": 9.
|
36 |
-
"loss": 1.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.18,
|
41 |
-
"grad_norm": 2.
|
42 |
-
"learning_rate": 9.
|
43 |
-
"loss": 1.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.22,
|
48 |
-
"grad_norm": 2.
|
49 |
-
"learning_rate": 9.
|
50 |
-
"loss": 1.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate": 9.
|
57 |
-
"loss": 1.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.29,
|
62 |
-
"grad_norm": 3.
|
63 |
-
"learning_rate": 9.
|
64 |
-
"loss": 1.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate": 9.
|
71 |
-
"loss": 1.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
-
"epoch": 0.
|
76 |
-
"grad_norm":
|
77 |
-
"learning_rate": 9.
|
78 |
-
"loss": 1.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 0.
|
83 |
-
"eval_accuracy": 0.
|
84 |
-
"eval_loss": 1.
|
85 |
-
"eval_runtime":
|
86 |
-
"eval_samples_per_second":
|
87 |
-
"eval_steps_per_second": 7.
|
88 |
"step": 100
|
89 |
},
|
90 |
{
|
91 |
-
"epoch": 0.
|
92 |
-
"grad_norm":
|
93 |
-
"learning_rate": 9.
|
94 |
-
"loss": 1.
|
95 |
"step": 110
|
96 |
},
|
97 |
{
|
98 |
-
"epoch": 0.
|
99 |
-
"grad_norm": 2.
|
100 |
-
"learning_rate": 9.
|
101 |
-
"loss": 1.
|
102 |
"step": 120
|
103 |
},
|
104 |
{
|
105 |
-
"epoch": 0.
|
106 |
-
"grad_norm": 3.
|
107 |
-
"learning_rate": 9.
|
108 |
-
"loss": 1.
|
109 |
"step": 130
|
110 |
},
|
111 |
{
|
112 |
-
"epoch": 0.
|
113 |
-
"grad_norm":
|
114 |
-
"learning_rate": 9.
|
115 |
-
"loss": 1.
|
116 |
"step": 140
|
117 |
},
|
118 |
{
|
119 |
-
"epoch": 0.
|
120 |
-
"grad_norm": 2.
|
121 |
-
"learning_rate": 9.
|
122 |
-
"loss": 1.
|
123 |
"step": 150
|
124 |
},
|
125 |
{
|
126 |
-
"epoch": 0.
|
127 |
-
"grad_norm": 3.
|
128 |
-
"learning_rate": 9.
|
129 |
-
"loss": 1.
|
130 |
"step": 160
|
131 |
},
|
132 |
{
|
133 |
-
"epoch": 0.
|
134 |
-
"grad_norm":
|
135 |
-
"learning_rate": 9.
|
136 |
-
"loss":
|
137 |
"step": 170
|
138 |
},
|
139 |
{
|
140 |
-
"epoch": 0.
|
141 |
-
"grad_norm": 2.
|
142 |
-
"learning_rate": 9.
|
143 |
-
"loss":
|
144 |
"step": 180
|
145 |
},
|
146 |
{
|
147 |
-
"epoch": 0.
|
148 |
-
"grad_norm":
|
149 |
-
"learning_rate": 9.
|
150 |
-
"loss": 1.
|
151 |
"step": 190
|
152 |
},
|
153 |
{
|
154 |
-
"epoch": 0.
|
155 |
-
"grad_norm":
|
156 |
-
"learning_rate": 9.
|
157 |
-
"loss": 0.
|
158 |
"step": 200
|
159 |
},
|
160 |
{
|
161 |
-
"epoch": 0.
|
162 |
-
"eval_accuracy": 0.
|
163 |
-
"eval_loss": 0.
|
164 |
-
"eval_runtime":
|
165 |
-
"eval_samples_per_second":
|
166 |
-
"eval_steps_per_second": 9.
|
167 |
"step": 200
|
168 |
},
|
169 |
{
|
170 |
-
"epoch": 0.
|
171 |
-
"grad_norm":
|
172 |
-
"learning_rate": 9.
|
173 |
-
"loss": 0.
|
174 |
"step": 210
|
175 |
},
|
176 |
{
|
177 |
-
"epoch": 0.
|
178 |
-
"grad_norm": 3.
|
179 |
-
"learning_rate": 9.
|
180 |
-
"loss":
|
181 |
"step": 220
|
182 |
},
|
183 |
{
|
184 |
-
"epoch": 0.
|
185 |
-
"grad_norm":
|
186 |
-
"learning_rate": 9.
|
187 |
-
"loss": 0.
|
188 |
"step": 230
|
189 |
},
|
190 |
{
|
191 |
-
"epoch": 0.
|
192 |
-
"grad_norm":
|
193 |
-
"learning_rate": 9.
|
194 |
-
"loss": 0.
|
195 |
"step": 240
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 0.
|
199 |
-
"grad_norm":
|
200 |
-
"learning_rate": 9.
|
201 |
-
"loss": 0.
|
202 |
"step": 250
|
203 |
},
|
204 |
{
|
205 |
-
"epoch": 0.
|
206 |
-
"grad_norm": 5.
|
207 |
-
"learning_rate": 9.
|
208 |
-
"loss": 0.
|
209 |
"step": 260
|
210 |
},
|
211 |
{
|
212 |
-
"epoch": 0.
|
213 |
-
"grad_norm":
|
214 |
-
"learning_rate": 9.
|
215 |
-
"loss": 0.
|
216 |
"step": 270
|
217 |
},
|
218 |
{
|
219 |
-
"epoch": 1.
|
220 |
-
"grad_norm":
|
221 |
-
"learning_rate":
|
222 |
-
"loss": 0.
|
223 |
"step": 280
|
224 |
},
|
225 |
{
|
226 |
-
"epoch": 1.
|
227 |
-
"grad_norm": 3.
|
228 |
-
"learning_rate": 8.
|
229 |
-
"loss": 0.
|
230 |
"step": 290
|
231 |
},
|
232 |
{
|
233 |
-
"epoch": 1.
|
234 |
-
"grad_norm":
|
235 |
-
"learning_rate": 8.
|
236 |
-
"loss": 0.
|
237 |
"step": 300
|
238 |
},
|
239 |
{
|
240 |
-
"epoch": 1.
|
241 |
-
"eval_accuracy": 0.
|
242 |
-
"eval_loss": 0.
|
243 |
-
"eval_runtime":
|
244 |
-
"eval_samples_per_second":
|
245 |
-
"eval_steps_per_second": 9.
|
246 |
"step": 300
|
247 |
},
|
248 |
{
|
249 |
-
"epoch": 1.
|
250 |
-
"grad_norm":
|
251 |
-
"learning_rate": 8.
|
252 |
-
"loss": 0.
|
253 |
"step": 310
|
254 |
},
|
255 |
{
|
256 |
-
"epoch": 1.
|
257 |
-
"grad_norm":
|
258 |
-
"learning_rate": 8.
|
259 |
-
"loss": 0.
|
260 |
"step": 320
|
261 |
},
|
262 |
{
|
263 |
-
"epoch": 1.
|
264 |
-
"grad_norm": 4.
|
265 |
-
"learning_rate": 8.
|
266 |
-
"loss": 0.
|
267 |
"step": 330
|
268 |
},
|
269 |
{
|
270 |
-
"epoch": 1.
|
271 |
-
"grad_norm":
|
272 |
-
"learning_rate": 8.
|
273 |
-
"loss": 0.
|
274 |
"step": 340
|
275 |
},
|
276 |
{
|
277 |
-
"epoch": 1.
|
278 |
-
"grad_norm":
|
279 |
-
"learning_rate": 8.
|
280 |
-
"loss": 0.
|
281 |
"step": 350
|
282 |
},
|
283 |
{
|
284 |
-
"epoch": 1.
|
285 |
-
"grad_norm": 5.
|
286 |
-
"learning_rate": 8.
|
287 |
-
"loss": 0.
|
288 |
"step": 360
|
289 |
},
|
290 |
{
|
291 |
-
"epoch": 1.
|
292 |
-
"grad_norm": 4.
|
293 |
-
"learning_rate": 8.
|
294 |
-
"loss": 0.
|
295 |
"step": 370
|
296 |
},
|
297 |
{
|
298 |
-
"epoch": 1.
|
299 |
-
"grad_norm":
|
300 |
-
"learning_rate": 8.
|
301 |
-
"loss": 0.
|
302 |
"step": 380
|
303 |
},
|
304 |
{
|
305 |
-
"epoch": 1.
|
306 |
-
"grad_norm": 4.
|
307 |
-
"learning_rate": 8.
|
308 |
-
"loss": 0.
|
309 |
"step": 390
|
310 |
},
|
311 |
{
|
312 |
-
"epoch": 1.
|
313 |
-
"grad_norm":
|
314 |
-
"learning_rate": 8.
|
315 |
-
"loss": 0.
|
316 |
"step": 400
|
317 |
},
|
318 |
{
|
319 |
-
"epoch": 1.
|
320 |
-
"eval_accuracy": 0.
|
321 |
-
"eval_loss": 0.
|
322 |
-
"eval_runtime":
|
323 |
-
"eval_samples_per_second": 74.
|
324 |
-
"eval_steps_per_second": 9.
|
325 |
"step": 400
|
326 |
},
|
327 |
{
|
328 |
-
"epoch": 1.
|
329 |
-
"grad_norm":
|
330 |
-
"learning_rate": 8.
|
331 |
-
"loss": 0.
|
332 |
"step": 410
|
333 |
},
|
334 |
{
|
335 |
-
"epoch": 1.
|
336 |
-
"grad_norm": 3.
|
337 |
-
"learning_rate": 8.
|
338 |
-
"loss": 0.
|
339 |
"step": 420
|
340 |
},
|
341 |
{
|
342 |
-
"epoch": 1.
|
343 |
-
"grad_norm": 5.
|
344 |
-
"learning_rate": 8.
|
345 |
-
"loss": 0.
|
346 |
"step": 430
|
347 |
},
|
348 |
{
|
349 |
-
"epoch": 1.
|
350 |
-
"grad_norm":
|
351 |
-
"learning_rate": 8.
|
352 |
-
"loss": 0.
|
353 |
"step": 440
|
354 |
},
|
355 |
{
|
356 |
-
"epoch": 1.
|
357 |
-
"grad_norm":
|
358 |
-
"learning_rate": 8.
|
359 |
-
"loss": 0.
|
360 |
"step": 450
|
361 |
},
|
362 |
{
|
363 |
-
"epoch": 1.
|
364 |
-
"grad_norm":
|
365 |
-
"learning_rate": 8.
|
366 |
-
"loss": 0.
|
367 |
"step": 460
|
368 |
},
|
369 |
{
|
370 |
-
"epoch": 1.
|
371 |
-
"grad_norm":
|
372 |
-
"learning_rate": 8.
|
373 |
-
"loss": 0.
|
374 |
"step": 470
|
375 |
},
|
376 |
{
|
377 |
-
"epoch": 1.
|
378 |
-
"grad_norm":
|
379 |
-
"learning_rate": 8.
|
380 |
-
"loss": 0.
|
381 |
"step": 480
|
382 |
},
|
383 |
{
|
384 |
-
"epoch": 1.
|
385 |
-
"grad_norm":
|
386 |
-
"learning_rate": 8.
|
387 |
-
"loss": 0.
|
388 |
"step": 490
|
389 |
},
|
390 |
{
|
391 |
-
"epoch": 1.
|
392 |
-
"grad_norm":
|
393 |
-
"learning_rate": 8.
|
394 |
-
"loss": 0.
|
395 |
"step": 500
|
396 |
},
|
397 |
{
|
398 |
-
"epoch": 1.
|
399 |
-
"eval_accuracy": 0.
|
400 |
-
"eval_loss": 0.
|
401 |
-
"eval_runtime":
|
402 |
-
"eval_samples_per_second": 73.
|
403 |
-
"eval_steps_per_second": 9.
|
404 |
"step": 500
|
405 |
},
|
406 |
{
|
407 |
-
"epoch": 1.
|
408 |
-
"grad_norm":
|
409 |
-
"learning_rate": 8.
|
410 |
-
"loss": 0.
|
411 |
"step": 510
|
412 |
},
|
413 |
{
|
414 |
-
"epoch": 1.
|
415 |
-
"grad_norm": 4.
|
416 |
-
"learning_rate": 8.
|
417 |
-
"loss": 0.
|
418 |
"step": 520
|
419 |
},
|
420 |
{
|
421 |
-
"epoch": 1.
|
422 |
-
"grad_norm": 2.
|
423 |
-
"learning_rate": 8.
|
424 |
-
"loss": 0.
|
425 |
"step": 530
|
426 |
},
|
427 |
{
|
428 |
-
"epoch": 1.
|
429 |
-
"grad_norm":
|
430 |
-
"learning_rate": 8.
|
431 |
-
"loss": 0.
|
432 |
"step": 540
|
433 |
},
|
434 |
{
|
435 |
-
"epoch":
|
436 |
-
"grad_norm":
|
437 |
-
"learning_rate":
|
438 |
-
"loss": 0.
|
439 |
"step": 550
|
440 |
},
|
441 |
{
|
442 |
-
"epoch": 2.
|
443 |
-
"grad_norm":
|
444 |
-
"learning_rate":
|
445 |
-
"loss": 0.
|
446 |
"step": 560
|
447 |
},
|
448 |
{
|
449 |
-
"epoch": 2.
|
450 |
-
"grad_norm":
|
451 |
-
"learning_rate": 7.
|
452 |
-
"loss": 0.
|
453 |
"step": 570
|
454 |
},
|
455 |
{
|
456 |
-
"epoch": 2.
|
457 |
-
"grad_norm":
|
458 |
-
"learning_rate": 7.
|
459 |
-
"loss": 0.
|
460 |
"step": 580
|
461 |
},
|
462 |
{
|
463 |
-
"epoch": 2.
|
464 |
-
"grad_norm":
|
465 |
-
"learning_rate": 7.
|
466 |
-
"loss": 0.
|
467 |
"step": 590
|
468 |
},
|
469 |
{
|
470 |
-
"epoch": 2.
|
471 |
-
"grad_norm":
|
472 |
-
"learning_rate": 7.
|
473 |
-
"loss": 0.
|
474 |
"step": 600
|
475 |
},
|
476 |
{
|
477 |
-
"epoch": 2.
|
478 |
-
"eval_accuracy": 0.
|
479 |
-
"eval_loss": 0.
|
480 |
-
"eval_runtime":
|
481 |
-
"eval_samples_per_second": 74.
|
482 |
-
"eval_steps_per_second": 9.
|
483 |
"step": 600
|
484 |
},
|
485 |
{
|
486 |
-
"epoch": 2.
|
487 |
-
"grad_norm":
|
488 |
-
"learning_rate": 7.
|
489 |
-
"loss": 0.
|
490 |
"step": 610
|
491 |
},
|
492 |
{
|
493 |
-
"epoch": 2.
|
494 |
-
"grad_norm":
|
495 |
-
"learning_rate": 7.
|
496 |
-
"loss": 0.
|
497 |
"step": 620
|
498 |
},
|
499 |
{
|
500 |
-
"epoch": 2.
|
501 |
-
"grad_norm":
|
502 |
-
"learning_rate": 7.
|
503 |
-
"loss": 0.
|
504 |
"step": 630
|
505 |
},
|
506 |
{
|
507 |
-
"epoch": 2.
|
508 |
-
"grad_norm":
|
509 |
-
"learning_rate": 7.
|
510 |
-
"loss": 0.
|
511 |
"step": 640
|
512 |
},
|
513 |
{
|
514 |
-
"epoch": 2.
|
515 |
-
"grad_norm":
|
516 |
-
"learning_rate": 7.
|
517 |
-
"loss": 0.
|
518 |
"step": 650
|
519 |
},
|
520 |
{
|
521 |
-
"epoch": 2.
|
522 |
-
"grad_norm": 3.
|
523 |
-
"learning_rate": 7.
|
524 |
-
"loss": 0.
|
525 |
"step": 660
|
526 |
},
|
527 |
{
|
528 |
-
"epoch": 2.
|
529 |
-
"grad_norm":
|
530 |
-
"learning_rate": 7.
|
531 |
-
"loss": 0.
|
532 |
"step": 670
|
533 |
},
|
534 |
{
|
535 |
-
"epoch": 2.
|
536 |
-
"grad_norm":
|
537 |
-
"learning_rate": 7.
|
538 |
-
"loss": 0.
|
539 |
"step": 680
|
540 |
},
|
541 |
{
|
542 |
-
"epoch": 2.
|
543 |
-
"grad_norm":
|
544 |
-
"learning_rate": 7.
|
545 |
-
"loss": 0.
|
546 |
"step": 690
|
547 |
},
|
548 |
{
|
549 |
-
"epoch": 2.
|
550 |
-
"grad_norm":
|
551 |
-
"learning_rate": 7.
|
552 |
-
"loss": 0.
|
553 |
"step": 700
|
554 |
},
|
555 |
{
|
556 |
-
"epoch": 2.
|
557 |
-
"eval_accuracy": 0.
|
558 |
-
"eval_loss": 0.
|
559 |
-
"eval_runtime":
|
560 |
-
"eval_samples_per_second": 74.
|
561 |
-
"eval_steps_per_second": 9.
|
562 |
"step": 700
|
563 |
},
|
564 |
{
|
565 |
-
"epoch": 2.
|
566 |
-
"grad_norm": 3.
|
567 |
-
"learning_rate": 7.
|
568 |
-
"loss": 0.
|
569 |
"step": 710
|
570 |
},
|
571 |
{
|
572 |
-
"epoch": 2.
|
573 |
-
"grad_norm":
|
574 |
-
"learning_rate": 7.
|
575 |
-
"loss": 0.
|
576 |
"step": 720
|
577 |
},
|
578 |
{
|
579 |
-
"epoch": 2.
|
580 |
-
"grad_norm": 6.
|
581 |
-
"learning_rate": 7.
|
582 |
-
"loss": 0.
|
583 |
"step": 730
|
584 |
},
|
585 |
{
|
586 |
-
"epoch": 2.
|
587 |
-
"grad_norm":
|
588 |
-
"learning_rate": 7.
|
589 |
-
"loss": 0.
|
590 |
"step": 740
|
591 |
},
|
592 |
{
|
593 |
-
"epoch": 2.
|
594 |
-
"grad_norm":
|
595 |
-
"learning_rate": 7.
|
596 |
-
"loss": 0.
|
597 |
"step": 750
|
598 |
},
|
599 |
{
|
600 |
-
"epoch": 2.
|
601 |
-
"grad_norm":
|
602 |
-
"learning_rate": 7.
|
603 |
-
"loss": 0.
|
604 |
"step": 760
|
605 |
},
|
606 |
{
|
607 |
-
"epoch": 2.
|
608 |
-
"grad_norm":
|
609 |
-
"learning_rate": 7.
|
610 |
-
"loss": 0.
|
611 |
"step": 770
|
612 |
},
|
613 |
{
|
614 |
-
"epoch": 2.
|
615 |
-
"grad_norm":
|
616 |
-
"learning_rate": 7.
|
617 |
-
"loss": 0.
|
618 |
"step": 780
|
619 |
},
|
620 |
{
|
621 |
-
"epoch": 2.
|
622 |
-
"grad_norm":
|
623 |
-
"learning_rate": 7.
|
624 |
-
"loss": 0.
|
625 |
"step": 790
|
626 |
},
|
627 |
{
|
628 |
-
"epoch": 2.
|
629 |
-
"grad_norm":
|
630 |
-
"learning_rate": 7.
|
631 |
-
"loss": 0.
|
632 |
"step": 800
|
633 |
},
|
634 |
{
|
635 |
-
"epoch": 2.
|
636 |
-
"eval_accuracy": 0.
|
637 |
-
"eval_loss": 0.
|
638 |
-
"eval_runtime":
|
639 |
-
"eval_samples_per_second": 74.
|
640 |
-
"eval_steps_per_second": 9.
|
641 |
"step": 800
|
642 |
},
|
643 |
{
|
644 |
-
"epoch": 2.
|
645 |
-
"grad_norm":
|
646 |
-
"learning_rate": 7.
|
647 |
-
"loss": 0.
|
648 |
"step": 810
|
649 |
},
|
650 |
{
|
651 |
-
"epoch":
|
652 |
-
"grad_norm":
|
653 |
-
"learning_rate":
|
654 |
-
"loss": 0.
|
655 |
"step": 820
|
656 |
},
|
657 |
{
|
658 |
-
"epoch":
|
659 |
-
"grad_norm":
|
660 |
-
"learning_rate":
|
661 |
-
"loss": 0.
|
662 |
"step": 830
|
663 |
},
|
664 |
{
|
665 |
-
"epoch": 3.
|
666 |
-
"grad_norm":
|
667 |
-
"learning_rate":
|
668 |
-
"loss": 0.
|
669 |
"step": 840
|
670 |
},
|
671 |
{
|
672 |
-
"epoch": 3.
|
673 |
-
"grad_norm":
|
674 |
-
"learning_rate": 6.
|
675 |
-
"loss": 0.
|
676 |
"step": 850
|
677 |
},
|
678 |
{
|
679 |
-
"epoch": 3.
|
680 |
-
"grad_norm":
|
681 |
-
"learning_rate": 6.
|
682 |
-
"loss": 0.
|
683 |
"step": 860
|
684 |
},
|
685 |
{
|
686 |
-
"epoch": 3.
|
687 |
-
"grad_norm": 7.
|
688 |
-
"learning_rate": 6.
|
689 |
-
"loss": 0.
|
690 |
"step": 870
|
691 |
},
|
692 |
{
|
693 |
-
"epoch": 3.
|
694 |
-
"grad_norm":
|
695 |
-
"learning_rate": 6.
|
696 |
-
"loss": 0.
|
697 |
"step": 880
|
698 |
},
|
699 |
{
|
700 |
-
"epoch": 3.
|
701 |
-
"grad_norm":
|
702 |
-
"learning_rate": 6.
|
703 |
-
"loss": 0.
|
704 |
"step": 890
|
705 |
},
|
706 |
{
|
707 |
-
"epoch": 3.
|
708 |
-
"grad_norm":
|
709 |
-
"learning_rate": 6.
|
710 |
-
"loss": 0.
|
711 |
"step": 900
|
712 |
},
|
713 |
{
|
714 |
-
"epoch": 3.
|
715 |
-
"eval_accuracy": 0.
|
716 |
-
"eval_loss": 0.
|
717 |
-
"eval_runtime":
|
718 |
-
"eval_samples_per_second":
|
719 |
-
"eval_steps_per_second": 9.
|
720 |
"step": 900
|
721 |
},
|
722 |
{
|
723 |
-
"epoch": 3.
|
724 |
-
"grad_norm":
|
725 |
-
"learning_rate": 6.
|
726 |
-
"loss": 0.
|
727 |
"step": 910
|
728 |
},
|
729 |
{
|
730 |
-
"epoch": 3.
|
731 |
-
"grad_norm":
|
732 |
-
"learning_rate": 6.
|
733 |
-
"loss": 0.
|
734 |
"step": 920
|
735 |
},
|
736 |
{
|
737 |
-
"epoch": 3.
|
738 |
-
"grad_norm":
|
739 |
-
"learning_rate": 6.
|
740 |
-
"loss": 0.
|
741 |
"step": 930
|
742 |
},
|
743 |
{
|
744 |
-
"epoch": 3.
|
745 |
-
"grad_norm":
|
746 |
-
"learning_rate": 6.
|
747 |
-
"loss": 0.
|
748 |
"step": 940
|
749 |
},
|
750 |
{
|
751 |
-
"epoch": 3.
|
752 |
-
"grad_norm": 6.
|
753 |
-
"learning_rate": 6.
|
754 |
-
"loss": 0.
|
755 |
"step": 950
|
756 |
},
|
757 |
{
|
758 |
-
"epoch": 3.
|
759 |
-
"grad_norm":
|
760 |
-
"learning_rate": 6.
|
761 |
-
"loss": 0.
|
762 |
"step": 960
|
763 |
},
|
764 |
{
|
765 |
-
"epoch": 3.
|
766 |
-
"grad_norm": 4.
|
767 |
-
"learning_rate": 6.
|
768 |
-
"loss": 0.
|
769 |
"step": 970
|
770 |
},
|
771 |
{
|
772 |
-
"epoch": 3.
|
773 |
-
"grad_norm": 1.
|
774 |
-
"learning_rate": 6.
|
775 |
-
"loss": 0.
|
776 |
"step": 980
|
777 |
},
|
778 |
{
|
779 |
-
"epoch": 3.
|
780 |
-
"grad_norm":
|
781 |
-
"learning_rate": 6.
|
782 |
-
"loss": 0.
|
783 |
"step": 990
|
784 |
},
|
785 |
{
|
786 |
-
"epoch": 3.
|
787 |
-
"grad_norm":
|
788 |
-
"learning_rate": 6.
|
789 |
-
"loss": 0.
|
790 |
"step": 1000
|
791 |
},
|
792 |
{
|
793 |
-
"epoch": 3.
|
794 |
-
"eval_accuracy": 0.
|
795 |
-
"eval_loss": 0.
|
796 |
-
"eval_runtime":
|
797 |
-
"eval_samples_per_second":
|
798 |
-
"eval_steps_per_second": 9.
|
799 |
"step": 1000
|
800 |
},
|
801 |
{
|
802 |
-
"epoch": 3.
|
803 |
-
"grad_norm": 3.
|
804 |
-
"learning_rate": 6.
|
805 |
-
"loss": 0.
|
806 |
"step": 1010
|
807 |
},
|
808 |
{
|
809 |
-
"epoch": 3.
|
810 |
-
"grad_norm":
|
811 |
-
"learning_rate": 6.
|
812 |
-
"loss": 0.
|
813 |
"step": 1020
|
814 |
},
|
815 |
{
|
816 |
-
"epoch": 3.
|
817 |
-
"grad_norm": 5.
|
818 |
-
"learning_rate": 6.
|
819 |
-
"loss": 0.
|
820 |
"step": 1030
|
821 |
},
|
822 |
{
|
823 |
-
"epoch": 3.
|
824 |
-
"grad_norm":
|
825 |
-
"learning_rate": 6.
|
826 |
-
"loss": 0.
|
827 |
"step": 1040
|
828 |
},
|
829 |
{
|
830 |
-
"epoch": 3.
|
831 |
-
"grad_norm":
|
832 |
-
"learning_rate": 6.
|
833 |
-
"loss": 0.
|
834 |
"step": 1050
|
835 |
},
|
836 |
{
|
837 |
-
"epoch": 3.
|
838 |
-
"grad_norm":
|
839 |
-
"learning_rate": 6.
|
840 |
-
"loss": 0.
|
841 |
"step": 1060
|
842 |
},
|
843 |
{
|
844 |
-
"epoch": 3.
|
845 |
-
"grad_norm": 6.
|
846 |
-
"learning_rate": 6.
|
847 |
-
"loss": 0.
|
848 |
"step": 1070
|
849 |
},
|
850 |
{
|
851 |
-
"epoch": 3.
|
852 |
-
"grad_norm":
|
853 |
-
"learning_rate": 6.
|
854 |
-
"loss": 0.
|
855 |
"step": 1080
|
856 |
},
|
857 |
{
|
858 |
-
"epoch":
|
859 |
-
"grad_norm":
|
860 |
-
"learning_rate":
|
861 |
-
"loss": 0.
|
862 |
"step": 1090
|
863 |
},
|
864 |
{
|
865 |
-
"epoch":
|
866 |
-
"grad_norm":
|
867 |
-
"learning_rate":
|
868 |
-
"loss": 0.
|
869 |
"step": 1100
|
870 |
},
|
871 |
{
|
872 |
-
"epoch":
|
873 |
-
"eval_accuracy": 0.
|
874 |
-
"eval_loss": 0.
|
875 |
-
"eval_runtime":
|
876 |
-
"eval_samples_per_second":
|
877 |
-
"eval_steps_per_second": 9.
|
878 |
"step": 1100
|
879 |
},
|
880 |
{
|
881 |
-
"epoch":
|
882 |
-
"grad_norm":
|
883 |
-
"learning_rate":
|
884 |
-
"loss": 0.
|
885 |
"step": 1110
|
886 |
},
|
887 |
{
|
888 |
-
"epoch": 4.
|
889 |
-
"grad_norm": 3.
|
890 |
-
"learning_rate": 5.
|
891 |
-
"loss": 0.
|
892 |
"step": 1120
|
893 |
},
|
894 |
{
|
895 |
-
"epoch": 4.
|
896 |
-
"grad_norm":
|
897 |
-
"learning_rate": 5.
|
898 |
-
"loss": 0.
|
899 |
"step": 1130
|
900 |
},
|
901 |
{
|
902 |
-
"epoch": 4.
|
903 |
-
"grad_norm":
|
904 |
-
"learning_rate": 5.
|
905 |
-
"loss": 0.
|
906 |
"step": 1140
|
907 |
},
|
908 |
{
|
909 |
-
"epoch": 4.
|
910 |
-
"grad_norm":
|
911 |
-
"learning_rate": 5.
|
912 |
-
"loss": 0.
|
913 |
"step": 1150
|
914 |
},
|
915 |
{
|
916 |
-
"epoch": 4.
|
917 |
-
"grad_norm":
|
918 |
-
"learning_rate": 5.
|
919 |
-
"loss": 0.
|
920 |
"step": 1160
|
921 |
},
|
922 |
{
|
923 |
-
"epoch": 4.
|
924 |
-
"grad_norm":
|
925 |
-
"learning_rate": 5.
|
926 |
-
"loss": 0.
|
927 |
"step": 1170
|
928 |
},
|
929 |
{
|
930 |
-
"epoch": 4.
|
931 |
-
"grad_norm": 6.
|
932 |
-
"learning_rate": 5.
|
933 |
-
"loss": 0.
|
934 |
"step": 1180
|
935 |
},
|
936 |
{
|
937 |
-
"epoch": 4.
|
938 |
-
"grad_norm":
|
939 |
-
"learning_rate": 5.
|
940 |
-
"loss": 0.
|
941 |
"step": 1190
|
942 |
},
|
943 |
{
|
944 |
-
"epoch": 4.
|
945 |
-
"grad_norm":
|
946 |
-
"learning_rate": 5.
|
947 |
-
"loss": 0.
|
948 |
"step": 1200
|
949 |
},
|
950 |
{
|
951 |
-
"epoch": 4.
|
952 |
-
"eval_accuracy": 0.
|
953 |
-
"eval_loss": 0.
|
954 |
-
"eval_runtime":
|
955 |
-
"eval_samples_per_second": 74.
|
956 |
-
"eval_steps_per_second": 9.
|
957 |
"step": 1200
|
958 |
},
|
959 |
{
|
960 |
-
"epoch": 4.
|
961 |
-
"grad_norm":
|
962 |
-
"learning_rate": 5.
|
963 |
-
"loss": 0.
|
964 |
"step": 1210
|
965 |
},
|
966 |
{
|
967 |
-
"epoch": 4.
|
968 |
-
"grad_norm":
|
969 |
-
"learning_rate": 5.
|
970 |
-
"loss": 0.
|
971 |
"step": 1220
|
972 |
},
|
973 |
{
|
974 |
-
"epoch": 4.
|
975 |
-
"grad_norm":
|
976 |
-
"learning_rate": 5.
|
977 |
-
"loss": 0.
|
978 |
"step": 1230
|
979 |
},
|
980 |
{
|
981 |
-
"epoch": 4.
|
982 |
-
"grad_norm":
|
983 |
-
"learning_rate": 5.
|
984 |
-
"loss": 0.
|
985 |
"step": 1240
|
986 |
},
|
987 |
{
|
988 |
-
"epoch": 4.
|
989 |
-
"grad_norm":
|
990 |
-
"learning_rate": 5.
|
991 |
-
"loss": 0.
|
992 |
"step": 1250
|
993 |
},
|
994 |
{
|
995 |
-
"epoch": 4.
|
996 |
-
"grad_norm":
|
997 |
-
"learning_rate": 5.
|
998 |
-
"loss": 0.
|
999 |
"step": 1260
|
1000 |
},
|
1001 |
{
|
1002 |
-
"epoch": 4.
|
1003 |
-
"grad_norm":
|
1004 |
-
"learning_rate": 5.
|
1005 |
-
"loss": 0.
|
1006 |
"step": 1270
|
1007 |
},
|
1008 |
{
|
1009 |
-
"epoch": 4.
|
1010 |
-
"grad_norm":
|
1011 |
-
"learning_rate": 5.
|
1012 |
-
"loss": 0.
|
1013 |
"step": 1280
|
1014 |
},
|
1015 |
{
|
1016 |
-
"epoch": 4.
|
1017 |
-
"grad_norm":
|
1018 |
-
"learning_rate": 5.
|
1019 |
-
"loss": 0.
|
1020 |
"step": 1290
|
1021 |
},
|
1022 |
{
|
1023 |
-
"epoch": 4.
|
1024 |
-
"grad_norm":
|
1025 |
-
"learning_rate": 5.
|
1026 |
-
"loss": 0.
|
1027 |
"step": 1300
|
1028 |
},
|
1029 |
{
|
1030 |
-
"epoch": 4.
|
1031 |
-
"eval_accuracy": 0.
|
1032 |
-
"eval_loss": 0.
|
1033 |
-
"eval_runtime":
|
1034 |
-
"eval_samples_per_second":
|
1035 |
-
"eval_steps_per_second": 9.
|
1036 |
"step": 1300
|
1037 |
},
|
1038 |
{
|
1039 |
-
"epoch": 4.
|
1040 |
-
"grad_norm": 3.
|
1041 |
-
"learning_rate": 5.
|
1042 |
-
"loss": 0.
|
1043 |
"step": 1310
|
1044 |
},
|
1045 |
{
|
1046 |
-
"epoch": 4.
|
1047 |
-
"grad_norm":
|
1048 |
-
"learning_rate": 5.
|
1049 |
-
"loss": 0.
|
1050 |
"step": 1320
|
1051 |
},
|
1052 |
{
|
1053 |
-
"epoch": 4.
|
1054 |
-
"grad_norm":
|
1055 |
-
"learning_rate": 5.
|
1056 |
-
"loss": 0.
|
1057 |
"step": 1330
|
1058 |
},
|
1059 |
{
|
1060 |
-
"epoch": 4.
|
1061 |
-
"grad_norm": 3.
|
1062 |
-
"learning_rate": 5.
|
1063 |
-
"loss": 0.
|
1064 |
"step": 1340
|
1065 |
},
|
1066 |
{
|
1067 |
-
"epoch": 4.
|
1068 |
-
"grad_norm":
|
1069 |
-
"learning_rate": 5.
|
1070 |
-
"loss": 0.
|
1071 |
"step": 1350
|
1072 |
},
|
1073 |
{
|
1074 |
-
"epoch":
|
1075 |
-
"grad_norm":
|
1076 |
-
"learning_rate": 5.
|
1077 |
-
"loss": 0.
|
1078 |
"step": 1360
|
1079 |
},
|
1080 |
{
|
1081 |
-
"epoch":
|
1082 |
-
"grad_norm": 4.
|
1083 |
-
"learning_rate":
|
1084 |
-
"loss": 0.
|
1085 |
"step": 1370
|
1086 |
},
|
1087 |
{
|
1088 |
-
"epoch":
|
1089 |
-
"grad_norm":
|
1090 |
-
"learning_rate":
|
1091 |
-
"loss": 0.
|
1092 |
"step": 1380
|
1093 |
},
|
1094 |
{
|
1095 |
-
"epoch":
|
1096 |
-
"grad_norm":
|
1097 |
-
"learning_rate":
|
1098 |
-
"loss": 0.
|
1099 |
"step": 1390
|
1100 |
},
|
1101 |
{
|
1102 |
-
"epoch": 5.
|
1103 |
-
"grad_norm":
|
1104 |
-
"learning_rate": 4.
|
1105 |
-
"loss": 0.
|
1106 |
"step": 1400
|
1107 |
},
|
1108 |
{
|
1109 |
-
"epoch": 5.
|
1110 |
-
"eval_accuracy": 0.
|
1111 |
-
"eval_loss": 0.
|
1112 |
-
"eval_runtime": 14.
|
1113 |
-
"eval_samples_per_second":
|
1114 |
-
"eval_steps_per_second":
|
1115 |
"step": 1400
|
1116 |
},
|
1117 |
{
|
1118 |
-
"epoch": 5.
|
1119 |
-
"grad_norm":
|
1120 |
-
"learning_rate": 4.
|
1121 |
-
"loss": 0.
|
1122 |
"step": 1410
|
1123 |
},
|
1124 |
{
|
1125 |
-
"epoch": 5.
|
1126 |
-
"grad_norm":
|
1127 |
-
"learning_rate": 4.
|
1128 |
-
"loss": 0.
|
1129 |
"step": 1420
|
1130 |
},
|
1131 |
{
|
1132 |
-
"epoch": 5.
|
1133 |
-
"grad_norm":
|
1134 |
-
"learning_rate": 4.
|
1135 |
-
"loss": 0.
|
1136 |
"step": 1430
|
1137 |
},
|
1138 |
{
|
1139 |
-
"epoch": 5.
|
1140 |
-
"grad_norm":
|
1141 |
-
"learning_rate": 4.
|
1142 |
-
"loss": 0.
|
1143 |
"step": 1440
|
1144 |
},
|
1145 |
{
|
1146 |
-
"epoch": 5.
|
1147 |
-
"grad_norm":
|
1148 |
-
"learning_rate": 4.
|
1149 |
-
"loss": 0.
|
1150 |
"step": 1450
|
1151 |
},
|
1152 |
{
|
1153 |
-
"epoch": 5.
|
1154 |
-
"grad_norm":
|
1155 |
-
"learning_rate": 4.
|
1156 |
-
"loss": 0.
|
1157 |
"step": 1460
|
1158 |
},
|
1159 |
{
|
1160 |
-
"epoch": 5.
|
1161 |
-
"grad_norm":
|
1162 |
-
"learning_rate": 4.
|
1163 |
-
"loss": 0.
|
1164 |
"step": 1470
|
1165 |
},
|
1166 |
{
|
1167 |
-
"epoch": 5.
|
1168 |
-
"grad_norm":
|
1169 |
-
"learning_rate": 4.
|
1170 |
-
"loss": 0.
|
1171 |
"step": 1480
|
1172 |
},
|
1173 |
{
|
1174 |
-
"epoch": 5.
|
1175 |
-
"grad_norm":
|
1176 |
-
"learning_rate": 4.
|
1177 |
-
"loss": 0.
|
1178 |
"step": 1490
|
1179 |
},
|
1180 |
{
|
1181 |
-
"epoch": 5.
|
1182 |
-
"grad_norm":
|
1183 |
-
"learning_rate": 4.
|
1184 |
-
"loss": 0.
|
1185 |
"step": 1500
|
1186 |
},
|
1187 |
{
|
1188 |
-
"epoch": 5.
|
1189 |
-
"eval_accuracy": 0.
|
1190 |
-
"eval_loss": 0.
|
1191 |
-
"eval_runtime":
|
1192 |
-
"eval_samples_per_second": 74.
|
1193 |
-
"eval_steps_per_second": 9.
|
1194 |
"step": 1500
|
1195 |
},
|
1196 |
{
|
1197 |
-
"epoch": 5.
|
1198 |
-
"grad_norm":
|
1199 |
-
"learning_rate": 4.
|
1200 |
-
"loss": 0.
|
1201 |
"step": 1510
|
1202 |
},
|
1203 |
{
|
1204 |
-
"epoch": 5.
|
1205 |
-
"grad_norm":
|
1206 |
-
"learning_rate": 4.
|
1207 |
-
"loss": 0.
|
1208 |
"step": 1520
|
1209 |
},
|
1210 |
{
|
1211 |
-
"epoch": 5.
|
1212 |
-
"grad_norm":
|
1213 |
-
"learning_rate": 4.
|
1214 |
-
"loss": 0.
|
1215 |
"step": 1530
|
1216 |
},
|
1217 |
{
|
1218 |
-
"epoch": 5.
|
1219 |
-
"grad_norm":
|
1220 |
-
"learning_rate": 4.
|
1221 |
-
"loss": 0.
|
1222 |
"step": 1540
|
1223 |
},
|
1224 |
{
|
1225 |
-
"epoch": 5.
|
1226 |
-
"grad_norm":
|
1227 |
-
"learning_rate": 4.
|
1228 |
-
"loss": 0.
|
1229 |
"step": 1550
|
1230 |
},
|
1231 |
{
|
1232 |
-
"epoch": 5.
|
1233 |
-
"grad_norm": 0.
|
1234 |
-
"learning_rate": 4.
|
1235 |
-
"loss": 0.
|
1236 |
"step": 1560
|
1237 |
},
|
1238 |
{
|
1239 |
-
"epoch": 5.
|
1240 |
-
"grad_norm":
|
1241 |
-
"learning_rate": 4.
|
1242 |
-
"loss": 0.
|
1243 |
"step": 1570
|
1244 |
},
|
1245 |
{
|
1246 |
-
"epoch": 5.
|
1247 |
-
"grad_norm": 3.
|
1248 |
-
"learning_rate": 4.
|
1249 |
-
"loss": 0.
|
1250 |
"step": 1580
|
1251 |
},
|
1252 |
{
|
1253 |
-
"epoch": 5.
|
1254 |
-
"grad_norm":
|
1255 |
-
"learning_rate": 4.
|
1256 |
-
"loss": 0.
|
1257 |
"step": 1590
|
1258 |
},
|
1259 |
{
|
1260 |
-
"epoch": 5.
|
1261 |
-
"grad_norm":
|
1262 |
-
"learning_rate": 4.
|
1263 |
-
"loss": 0.
|
1264 |
"step": 1600
|
1265 |
},
|
1266 |
{
|
1267 |
-
"epoch": 5.
|
1268 |
-
"eval_accuracy": 0.
|
1269 |
-
"eval_loss": 0.
|
1270 |
-
"eval_runtime":
|
1271 |
-
"eval_samples_per_second": 74.
|
1272 |
-
"eval_steps_per_second": 9.
|
1273 |
"step": 1600
|
1274 |
},
|
1275 |
{
|
1276 |
-
"epoch": 5.
|
1277 |
-
"grad_norm":
|
1278 |
-
"learning_rate": 4.
|
1279 |
-
"loss": 0.
|
1280 |
"step": 1610
|
1281 |
},
|
1282 |
{
|
1283 |
-
"epoch": 5.
|
1284 |
-
"grad_norm":
|
1285 |
-
"learning_rate": 4.
|
1286 |
-
"loss": 0.
|
1287 |
"step": 1620
|
1288 |
},
|
1289 |
{
|
1290 |
-
"epoch": 5.
|
1291 |
-
"grad_norm":
|
1292 |
-
"learning_rate": 4.
|
1293 |
-
"loss": 0.
|
1294 |
"step": 1630
|
1295 |
},
|
1296 |
{
|
1297 |
-
"epoch":
|
1298 |
-
"grad_norm":
|
1299 |
-
"learning_rate":
|
1300 |
-
"loss": 0.
|
1301 |
"step": 1640
|
1302 |
},
|
1303 |
{
|
1304 |
-
"epoch":
|
1305 |
-
"grad_norm":
|
1306 |
-
"learning_rate":
|
1307 |
-
"loss": 0.
|
1308 |
"step": 1650
|
1309 |
},
|
1310 |
{
|
1311 |
-
"epoch":
|
1312 |
-
"grad_norm":
|
1313 |
-
"learning_rate":
|
1314 |
-
"loss": 0.
|
1315 |
"step": 1660
|
1316 |
},
|
1317 |
{
|
1318 |
-
"epoch":
|
1319 |
-
"grad_norm": 4.
|
1320 |
-
"learning_rate":
|
1321 |
-
"loss": 0.
|
1322 |
"step": 1670
|
1323 |
},
|
1324 |
{
|
1325 |
-
"epoch": 6.
|
1326 |
-
"grad_norm":
|
1327 |
-
"learning_rate": 3.
|
1328 |
-
"loss": 0.
|
1329 |
"step": 1680
|
1330 |
},
|
1331 |
{
|
1332 |
-
"epoch": 6.
|
1333 |
-
"grad_norm":
|
1334 |
-
"learning_rate": 3.
|
1335 |
-
"loss": 0.
|
1336 |
"step": 1690
|
1337 |
},
|
1338 |
{
|
1339 |
-
"epoch": 6.
|
1340 |
-
"grad_norm":
|
1341 |
-
"learning_rate": 3.
|
1342 |
-
"loss": 0.
|
1343 |
"step": 1700
|
1344 |
},
|
1345 |
{
|
1346 |
-
"epoch": 6.
|
1347 |
-
"eval_accuracy": 0.
|
1348 |
-
"eval_loss": 0.
|
1349 |
-
"eval_runtime":
|
1350 |
-
"eval_samples_per_second":
|
1351 |
-
"eval_steps_per_second": 9.
|
1352 |
"step": 1700
|
1353 |
},
|
1354 |
{
|
1355 |
-
"epoch": 6.
|
1356 |
-
"grad_norm":
|
1357 |
-
"learning_rate": 3.
|
1358 |
-
"loss": 0.
|
1359 |
"step": 1710
|
1360 |
},
|
1361 |
{
|
1362 |
-
"epoch": 6.
|
1363 |
-
"grad_norm":
|
1364 |
-
"learning_rate": 3.
|
1365 |
-
"loss": 0.
|
1366 |
"step": 1720
|
1367 |
},
|
1368 |
{
|
1369 |
-
"epoch": 6.
|
1370 |
-
"grad_norm":
|
1371 |
-
"learning_rate": 3.
|
1372 |
-
"loss": 0.
|
1373 |
"step": 1730
|
1374 |
},
|
1375 |
{
|
1376 |
-
"epoch": 6.
|
1377 |
-
"grad_norm":
|
1378 |
-
"learning_rate": 3.
|
1379 |
-
"loss": 0.
|
1380 |
"step": 1740
|
1381 |
},
|
1382 |
{
|
1383 |
-
"epoch": 6.
|
1384 |
-
"grad_norm":
|
1385 |
-
"learning_rate": 3.
|
1386 |
-
"loss": 0.
|
1387 |
"step": 1750
|
1388 |
},
|
1389 |
{
|
1390 |
-
"epoch": 6.
|
1391 |
-
"grad_norm":
|
1392 |
-
"learning_rate": 3.
|
1393 |
-
"loss": 0.
|
1394 |
"step": 1760
|
1395 |
},
|
1396 |
{
|
1397 |
-
"epoch": 6.
|
1398 |
-
"grad_norm":
|
1399 |
-
"learning_rate": 3.
|
1400 |
-
"loss": 0.
|
1401 |
"step": 1770
|
1402 |
},
|
1403 |
{
|
1404 |
-
"epoch": 6.
|
1405 |
-
"grad_norm": 2.
|
1406 |
-
"learning_rate": 3.
|
1407 |
-
"loss": 0.
|
1408 |
"step": 1780
|
1409 |
},
|
1410 |
{
|
1411 |
-
"epoch": 6.
|
1412 |
-
"grad_norm":
|
1413 |
-
"learning_rate": 3.
|
1414 |
-
"loss": 0.
|
1415 |
"step": 1790
|
1416 |
},
|
1417 |
{
|
1418 |
-
"epoch": 6.
|
1419 |
-
"grad_norm":
|
1420 |
-
"learning_rate": 3.
|
1421 |
-
"loss": 0.
|
1422 |
"step": 1800
|
1423 |
},
|
1424 |
{
|
1425 |
-
"epoch": 6.
|
1426 |
-
"eval_accuracy": 0.
|
1427 |
-
"eval_loss": 0.
|
1428 |
-
"eval_runtime":
|
1429 |
-
"eval_samples_per_second": 73.
|
1430 |
-
"eval_steps_per_second": 9.
|
1431 |
"step": 1800
|
1432 |
},
|
1433 |
{
|
1434 |
-
"epoch": 6.
|
1435 |
-
"grad_norm":
|
1436 |
-
"learning_rate": 3.
|
1437 |
-
"loss": 0.
|
1438 |
"step": 1810
|
1439 |
},
|
1440 |
{
|
1441 |
-
"epoch": 6.
|
1442 |
-
"grad_norm":
|
1443 |
-
"learning_rate": 3.
|
1444 |
-
"loss": 0.
|
1445 |
"step": 1820
|
1446 |
},
|
1447 |
{
|
1448 |
-
"epoch": 6.
|
1449 |
-
"grad_norm":
|
1450 |
-
"learning_rate": 3.
|
1451 |
-
"loss": 0.
|
1452 |
"step": 1830
|
1453 |
},
|
1454 |
{
|
1455 |
-
"epoch": 6.
|
1456 |
-
"grad_norm":
|
1457 |
-
"learning_rate": 3.
|
1458 |
-
"loss": 0.
|
1459 |
"step": 1840
|
1460 |
},
|
1461 |
{
|
1462 |
-
"epoch": 6.
|
1463 |
-
"grad_norm":
|
1464 |
-
"learning_rate": 3.
|
1465 |
-
"loss": 0.
|
1466 |
"step": 1850
|
1467 |
},
|
1468 |
{
|
1469 |
-
"epoch": 6.
|
1470 |
-
"grad_norm":
|
1471 |
-
"learning_rate": 3.
|
1472 |
-
"loss": 0.
|
1473 |
"step": 1860
|
1474 |
},
|
1475 |
{
|
1476 |
-
"epoch": 6.
|
1477 |
-
"grad_norm":
|
1478 |
-
"learning_rate": 3.
|
1479 |
-
"loss": 0.
|
1480 |
"step": 1870
|
1481 |
},
|
1482 |
{
|
1483 |
-
"epoch": 6.
|
1484 |
-
"grad_norm":
|
1485 |
-
"learning_rate": 3.
|
1486 |
-
"loss": 0.
|
1487 |
"step": 1880
|
1488 |
},
|
1489 |
{
|
1490 |
-
"epoch": 6.
|
1491 |
-
"grad_norm":
|
1492 |
-
"learning_rate": 3.
|
1493 |
-
"loss": 0.
|
1494 |
"step": 1890
|
1495 |
},
|
1496 |
{
|
1497 |
-
"epoch": 6.
|
1498 |
-
"grad_norm":
|
1499 |
-
"learning_rate": 3.
|
1500 |
-
"loss": 0.
|
1501 |
"step": 1900
|
1502 |
},
|
1503 |
{
|
1504 |
-
"epoch": 6.
|
1505 |
-
"eval_accuracy": 0.
|
1506 |
-
"eval_loss": 0.
|
1507 |
-
"eval_runtime":
|
1508 |
-
"eval_samples_per_second": 74.
|
1509 |
-
"eval_steps_per_second": 9.
|
1510 |
"step": 1900
|
1511 |
},
|
1512 |
{
|
1513 |
-
"epoch":
|
1514 |
-
"grad_norm":
|
1515 |
-
"learning_rate":
|
1516 |
-
"loss": 0.
|
1517 |
"step": 1910
|
1518 |
},
|
1519 |
{
|
1520 |
-
"epoch":
|
1521 |
-
"grad_norm":
|
1522 |
-
"learning_rate":
|
1523 |
-
"loss": 0.
|
1524 |
"step": 1920
|
1525 |
},
|
1526 |
{
|
1527 |
-
"epoch":
|
1528 |
-
"grad_norm":
|
1529 |
-
"learning_rate":
|
1530 |
-
"loss": 0.
|
1531 |
"step": 1930
|
1532 |
},
|
1533 |
{
|
1534 |
-
"epoch":
|
1535 |
-
"grad_norm":
|
1536 |
-
"learning_rate":
|
1537 |
-
"loss": 0.
|
1538 |
"step": 1940
|
1539 |
},
|
1540 |
{
|
1541 |
-
"epoch":
|
1542 |
-
"grad_norm":
|
1543 |
-
"learning_rate":
|
1544 |
-
"loss": 0.
|
1545 |
"step": 1950
|
1546 |
},
|
1547 |
{
|
1548 |
-
"epoch": 7.
|
1549 |
-
"grad_norm":
|
1550 |
-
"learning_rate": 2.
|
1551 |
-
"loss": 0.
|
1552 |
"step": 1960
|
1553 |
},
|
1554 |
{
|
1555 |
-
"epoch": 7.
|
1556 |
-
"grad_norm":
|
1557 |
-
"learning_rate": 2.
|
1558 |
-
"loss": 0.
|
1559 |
"step": 1970
|
1560 |
},
|
1561 |
{
|
1562 |
-
"epoch": 7.
|
1563 |
-
"grad_norm":
|
1564 |
-
"learning_rate": 2.
|
1565 |
-
"loss": 0.
|
1566 |
"step": 1980
|
1567 |
},
|
1568 |
{
|
1569 |
-
"epoch": 7.
|
1570 |
-
"grad_norm":
|
1571 |
-
"learning_rate": 2.
|
1572 |
-
"loss": 0.
|
1573 |
"step": 1990
|
1574 |
},
|
1575 |
{
|
1576 |
-
"epoch": 7.
|
1577 |
-
"grad_norm":
|
1578 |
-
"learning_rate": 2.
|
1579 |
-
"loss": 0.
|
1580 |
"step": 2000
|
1581 |
},
|
1582 |
{
|
1583 |
-
"epoch": 7.
|
1584 |
-
"eval_accuracy": 0.
|
1585 |
-
"eval_loss": 0.
|
1586 |
-
"eval_runtime":
|
1587 |
-
"eval_samples_per_second":
|
1588 |
-
"eval_steps_per_second": 9.
|
1589 |
"step": 2000
|
1590 |
},
|
1591 |
{
|
1592 |
-
"epoch": 7.
|
1593 |
-
"grad_norm":
|
1594 |
-
"learning_rate": 2.
|
1595 |
-
"loss": 0.
|
1596 |
"step": 2010
|
1597 |
},
|
1598 |
{
|
1599 |
-
"epoch": 7.
|
1600 |
-
"grad_norm":
|
1601 |
-
"learning_rate": 2.
|
1602 |
-
"loss": 0.
|
1603 |
"step": 2020
|
1604 |
},
|
1605 |
{
|
1606 |
-
"epoch": 7.
|
1607 |
-
"grad_norm":
|
1608 |
-
"learning_rate": 2.
|
1609 |
-
"loss": 0.
|
1610 |
"step": 2030
|
1611 |
},
|
1612 |
{
|
1613 |
-
"epoch": 7.
|
1614 |
-
"grad_norm":
|
1615 |
-
"learning_rate": 2.
|
1616 |
-
"loss": 0.
|
1617 |
"step": 2040
|
1618 |
},
|
1619 |
{
|
1620 |
-
"epoch": 7.
|
1621 |
-
"grad_norm":
|
1622 |
-
"learning_rate": 2.
|
1623 |
-
"loss": 0.
|
1624 |
"step": 2050
|
1625 |
},
|
1626 |
{
|
1627 |
-
"epoch": 7.
|
1628 |
-
"grad_norm":
|
1629 |
-
"learning_rate": 2.
|
1630 |
-
"loss": 0.
|
1631 |
"step": 2060
|
1632 |
},
|
1633 |
{
|
1634 |
-
"epoch": 7.
|
1635 |
-
"grad_norm":
|
1636 |
-
"learning_rate": 2.
|
1637 |
-
"loss": 0.
|
1638 |
"step": 2070
|
1639 |
},
|
1640 |
{
|
1641 |
-
"epoch": 7.
|
1642 |
-
"grad_norm":
|
1643 |
-
"learning_rate": 2.
|
1644 |
-
"loss": 0.
|
1645 |
"step": 2080
|
1646 |
},
|
1647 |
{
|
1648 |
-
"epoch": 7.
|
1649 |
-
"grad_norm":
|
1650 |
-
"learning_rate": 2.
|
1651 |
-
"loss": 0.
|
1652 |
"step": 2090
|
1653 |
},
|
1654 |
{
|
1655 |
-
"epoch": 7.
|
1656 |
-
"grad_norm":
|
1657 |
-
"learning_rate": 2.
|
1658 |
-
"loss": 0.
|
1659 |
"step": 2100
|
1660 |
},
|
1661 |
{
|
1662 |
-
"epoch": 7.
|
1663 |
-
"eval_accuracy": 0.
|
1664 |
-
"eval_loss": 0.
|
1665 |
-
"eval_runtime":
|
1666 |
-
"eval_samples_per_second":
|
1667 |
-
"eval_steps_per_second": 9.
|
1668 |
"step": 2100
|
1669 |
},
|
1670 |
{
|
1671 |
-
"epoch": 7.
|
1672 |
-
"grad_norm":
|
1673 |
-
"learning_rate": 2.
|
1674 |
-
"loss": 0.
|
1675 |
"step": 2110
|
1676 |
},
|
1677 |
{
|
1678 |
-
"epoch": 7.
|
1679 |
-
"grad_norm":
|
1680 |
-
"learning_rate": 2.
|
1681 |
-
"loss": 0.
|
1682 |
"step": 2120
|
1683 |
},
|
1684 |
{
|
1685 |
-
"epoch": 7.
|
1686 |
-
"grad_norm":
|
1687 |
-
"learning_rate": 2.
|
1688 |
-
"loss": 0.
|
1689 |
"step": 2130
|
1690 |
},
|
1691 |
{
|
1692 |
-
"epoch": 7.
|
1693 |
-
"grad_norm": 6.
|
1694 |
-
"learning_rate": 2.
|
1695 |
-
"loss": 0.
|
1696 |
"step": 2140
|
1697 |
},
|
1698 |
{
|
1699 |
-
"epoch": 7.
|
1700 |
-
"grad_norm":
|
1701 |
-
"learning_rate": 2.
|
1702 |
-
"loss": 0.
|
1703 |
"step": 2150
|
1704 |
},
|
1705 |
{
|
1706 |
-
"epoch": 7.
|
1707 |
-
"grad_norm":
|
1708 |
-
"learning_rate": 2.
|
1709 |
-
"loss": 0.
|
1710 |
"step": 2160
|
1711 |
},
|
1712 |
{
|
1713 |
-
"epoch": 7.
|
1714 |
-
"grad_norm":
|
1715 |
-
"learning_rate": 2.
|
1716 |
-
"loss": 0.
|
1717 |
"step": 2170
|
1718 |
},
|
1719 |
{
|
1720 |
-
"epoch":
|
1721 |
-
"grad_norm":
|
1722 |
-
"learning_rate":
|
1723 |
-
"loss": 0.
|
1724 |
"step": 2180
|
1725 |
},
|
1726 |
{
|
1727 |
-
"epoch":
|
1728 |
-
"grad_norm":
|
1729 |
-
"learning_rate":
|
1730 |
-
"loss": 0.
|
1731 |
"step": 2190
|
1732 |
},
|
1733 |
{
|
1734 |
-
"epoch":
|
1735 |
-
"grad_norm":
|
1736 |
-
"learning_rate":
|
1737 |
-
"loss": 0.
|
1738 |
"step": 2200
|
1739 |
},
|
1740 |
{
|
1741 |
-
"epoch":
|
1742 |
-
"eval_accuracy": 0.
|
1743 |
-
"eval_loss": 0.
|
1744 |
-
"eval_runtime":
|
1745 |
-
"eval_samples_per_second":
|
1746 |
-
"eval_steps_per_second": 9.
|
1747 |
"step": 2200
|
1748 |
},
|
1749 |
{
|
1750 |
-
"epoch":
|
1751 |
-
"grad_norm":
|
1752 |
-
"learning_rate":
|
1753 |
-
"loss": 0.
|
1754 |
"step": 2210
|
1755 |
},
|
1756 |
{
|
1757 |
-
"epoch":
|
1758 |
-
"grad_norm":
|
1759 |
-
"learning_rate":
|
1760 |
-
"loss": 0.
|
1761 |
"step": 2220
|
1762 |
},
|
1763 |
{
|
1764 |
-
"epoch":
|
1765 |
-
"grad_norm":
|
1766 |
-
"learning_rate":
|
1767 |
-
"loss": 0.
|
1768 |
"step": 2230
|
1769 |
},
|
1770 |
{
|
1771 |
-
"epoch": 8.
|
1772 |
-
"grad_norm":
|
1773 |
-
"learning_rate": 1.
|
1774 |
-
"loss": 0.
|
1775 |
"step": 2240
|
1776 |
},
|
1777 |
{
|
1778 |
-
"epoch": 8.
|
1779 |
-
"grad_norm":
|
1780 |
-
"learning_rate": 1.
|
1781 |
-
"loss": 0.
|
1782 |
"step": 2250
|
1783 |
},
|
1784 |
{
|
1785 |
-
"epoch": 8.
|
1786 |
-
"grad_norm":
|
1787 |
-
"learning_rate": 1.
|
1788 |
-
"loss": 0.
|
1789 |
"step": 2260
|
1790 |
},
|
1791 |
{
|
1792 |
-
"epoch": 8.
|
1793 |
-
"grad_norm":
|
1794 |
-
"learning_rate": 1.
|
1795 |
-
"loss": 0.
|
1796 |
"step": 2270
|
1797 |
},
|
1798 |
{
|
1799 |
-
"epoch": 8.
|
1800 |
-
"grad_norm":
|
1801 |
-
"learning_rate": 1.
|
1802 |
-
"loss": 0.
|
1803 |
"step": 2280
|
1804 |
},
|
1805 |
{
|
1806 |
-
"epoch": 8.
|
1807 |
-
"grad_norm":
|
1808 |
-
"learning_rate": 1.
|
1809 |
-
"loss": 0.
|
1810 |
"step": 2290
|
1811 |
},
|
1812 |
{
|
1813 |
-
"epoch": 8.
|
1814 |
-
"grad_norm":
|
1815 |
-
"learning_rate": 1.
|
1816 |
-
"loss": 0.
|
1817 |
"step": 2300
|
1818 |
},
|
1819 |
{
|
1820 |
-
"epoch": 8.
|
1821 |
-
"eval_accuracy": 0.
|
1822 |
-
"eval_loss": 0.
|
1823 |
-
"eval_runtime":
|
1824 |
-
"eval_samples_per_second":
|
1825 |
-
"eval_steps_per_second": 9.
|
1826 |
"step": 2300
|
1827 |
},
|
1828 |
{
|
1829 |
-
"epoch": 8.
|
1830 |
-
"grad_norm":
|
1831 |
-
"learning_rate": 1.
|
1832 |
-
"loss": 0.
|
1833 |
"step": 2310
|
1834 |
},
|
1835 |
{
|
1836 |
-
"epoch": 8.
|
1837 |
-
"grad_norm":
|
1838 |
-
"learning_rate": 1.
|
1839 |
-
"loss": 0.
|
1840 |
"step": 2320
|
1841 |
},
|
1842 |
{
|
1843 |
-
"epoch": 8.
|
1844 |
-
"grad_norm":
|
1845 |
-
"learning_rate": 1.
|
1846 |
-
"loss": 0.
|
1847 |
"step": 2330
|
1848 |
},
|
1849 |
{
|
1850 |
-
"epoch": 8.
|
1851 |
-
"grad_norm":
|
1852 |
-
"learning_rate": 1.
|
1853 |
-
"loss": 0.
|
1854 |
"step": 2340
|
1855 |
},
|
1856 |
{
|
1857 |
-
"epoch": 8.
|
1858 |
-
"grad_norm":
|
1859 |
-
"learning_rate": 1.
|
1860 |
-
"loss": 0.
|
1861 |
"step": 2350
|
1862 |
},
|
1863 |
{
|
1864 |
-
"epoch": 8.
|
1865 |
-
"grad_norm":
|
1866 |
-
"learning_rate": 1.
|
1867 |
-
"loss": 0.
|
1868 |
"step": 2360
|
1869 |
},
|
1870 |
{
|
1871 |
-
"epoch": 8.
|
1872 |
-
"grad_norm":
|
1873 |
-
"learning_rate": 1.
|
1874 |
-
"loss": 0.
|
1875 |
"step": 2370
|
1876 |
},
|
1877 |
{
|
1878 |
-
"epoch": 8.
|
1879 |
-
"grad_norm":
|
1880 |
-
"learning_rate": 1.
|
1881 |
-
"loss": 0.
|
1882 |
"step": 2380
|
1883 |
},
|
1884 |
{
|
1885 |
-
"epoch": 8.
|
1886 |
-
"grad_norm":
|
1887 |
-
"learning_rate": 1.
|
1888 |
-
"loss": 0.
|
1889 |
"step": 2390
|
1890 |
},
|
1891 |
{
|
1892 |
-
"epoch": 8.
|
1893 |
-
"grad_norm":
|
1894 |
-
"learning_rate": 1.
|
1895 |
-
"loss": 0.
|
1896 |
"step": 2400
|
1897 |
},
|
1898 |
{
|
1899 |
-
"epoch": 8.
|
1900 |
-
"eval_accuracy": 0.
|
1901 |
-
"eval_loss": 0.
|
1902 |
-
"eval_runtime":
|
1903 |
-
"eval_samples_per_second":
|
1904 |
-
"eval_steps_per_second": 9.
|
1905 |
"step": 2400
|
1906 |
},
|
1907 |
{
|
1908 |
-
"epoch": 8.
|
1909 |
-
"grad_norm":
|
1910 |
-
"learning_rate": 1.
|
1911 |
-
"loss": 0.
|
1912 |
"step": 2410
|
1913 |
},
|
1914 |
{
|
1915 |
-
"epoch": 8.
|
1916 |
-
"grad_norm":
|
1917 |
-
"learning_rate": 1.
|
1918 |
-
"loss": 0.
|
1919 |
"step": 2420
|
1920 |
},
|
1921 |
{
|
1922 |
-
"epoch": 8.
|
1923 |
-
"grad_norm":
|
1924 |
-
"learning_rate": 1.
|
1925 |
-
"loss": 0.
|
1926 |
"step": 2430
|
1927 |
},
|
1928 |
{
|
1929 |
-
"epoch": 8.
|
1930 |
-
"grad_norm":
|
1931 |
-
"learning_rate": 1.
|
1932 |
-
"loss": 0.
|
1933 |
"step": 2440
|
1934 |
},
|
1935 |
{
|
1936 |
-
"epoch":
|
1937 |
-
"grad_norm":
|
1938 |
-
"learning_rate": 1.
|
1939 |
-
"loss": 0.
|
1940 |
"step": 2450
|
1941 |
},
|
1942 |
{
|
1943 |
-
"epoch":
|
1944 |
-
"grad_norm":
|
1945 |
-
"learning_rate":
|
1946 |
-
"loss": 0.
|
1947 |
"step": 2460
|
1948 |
},
|
1949 |
{
|
1950 |
-
"epoch":
|
1951 |
-
"grad_norm":
|
1952 |
-
"learning_rate":
|
1953 |
-
"loss": 0.
|
1954 |
"step": 2470
|
1955 |
},
|
1956 |
{
|
1957 |
-
"epoch":
|
1958 |
-
"grad_norm":
|
1959 |
-
"learning_rate":
|
1960 |
-
"loss": 0.
|
1961 |
"step": 2480
|
1962 |
},
|
1963 |
{
|
1964 |
-
"epoch":
|
1965 |
-
"grad_norm":
|
1966 |
-
"learning_rate":
|
1967 |
-
"loss": 0.
|
1968 |
"step": 2490
|
1969 |
},
|
1970 |
{
|
1971 |
-
"epoch":
|
1972 |
-
"grad_norm":
|
1973 |
-
"learning_rate":
|
1974 |
-
"loss": 0.
|
1975 |
"step": 2500
|
1976 |
},
|
1977 |
{
|
1978 |
-
"epoch":
|
1979 |
-
"eval_accuracy": 0.
|
1980 |
-
"eval_loss": 0.
|
1981 |
-
"eval_runtime":
|
1982 |
-
"eval_samples_per_second": 73.
|
1983 |
-
"eval_steps_per_second": 9.
|
1984 |
"step": 2500
|
1985 |
},
|
1986 |
{
|
1987 |
-
"epoch": 9.
|
1988 |
-
"grad_norm":
|
1989 |
-
"learning_rate":
|
1990 |
-
"loss": 0.
|
1991 |
"step": 2510
|
1992 |
},
|
1993 |
{
|
1994 |
-
"epoch": 9.
|
1995 |
-
"grad_norm":
|
1996 |
-
"learning_rate":
|
1997 |
-
"loss": 0.
|
1998 |
"step": 2520
|
1999 |
},
|
2000 |
{
|
2001 |
-
"epoch": 9.
|
2002 |
-
"grad_norm":
|
2003 |
-
"learning_rate":
|
2004 |
-
"loss": 0.
|
2005 |
"step": 2530
|
2006 |
},
|
2007 |
{
|
2008 |
-
"epoch": 9.
|
2009 |
-
"grad_norm":
|
2010 |
-
"learning_rate":
|
2011 |
-
"loss": 0.
|
2012 |
"step": 2540
|
2013 |
},
|
2014 |
{
|
2015 |
-
"epoch": 9.
|
2016 |
-
"grad_norm":
|
2017 |
-
"learning_rate":
|
2018 |
-
"loss": 0.
|
2019 |
"step": 2550
|
2020 |
},
|
2021 |
{
|
2022 |
-
"epoch": 9.
|
2023 |
-
"grad_norm":
|
2024 |
-
"learning_rate":
|
2025 |
-
"loss": 0.
|
2026 |
"step": 2560
|
2027 |
},
|
2028 |
{
|
2029 |
-
"epoch": 9.
|
2030 |
-
"grad_norm":
|
2031 |
-
"learning_rate":
|
2032 |
-
"loss": 0.
|
2033 |
"step": 2570
|
2034 |
},
|
2035 |
{
|
2036 |
-
"epoch": 9.
|
2037 |
-
"grad_norm":
|
2038 |
-
"learning_rate":
|
2039 |
-
"loss": 0.
|
2040 |
"step": 2580
|
2041 |
},
|
2042 |
{
|
2043 |
-
"epoch": 9.
|
2044 |
-
"grad_norm":
|
2045 |
-
"learning_rate":
|
2046 |
-
"loss": 0.
|
2047 |
"step": 2590
|
2048 |
},
|
2049 |
{
|
2050 |
-
"epoch": 9.
|
2051 |
-
"grad_norm":
|
2052 |
-
"learning_rate":
|
2053 |
-
"loss": 0.
|
2054 |
"step": 2600
|
2055 |
},
|
2056 |
{
|
2057 |
-
"epoch": 9.
|
2058 |
-
"eval_accuracy": 0.
|
2059 |
-
"eval_loss": 0.
|
2060 |
-
"eval_runtime":
|
2061 |
-
"eval_samples_per_second": 73.
|
2062 |
-
"eval_steps_per_second": 9.
|
2063 |
"step": 2600
|
2064 |
},
|
2065 |
{
|
2066 |
-
"epoch": 9.
|
2067 |
-
"grad_norm":
|
2068 |
-
"learning_rate":
|
2069 |
-
"loss": 0.
|
2070 |
"step": 2610
|
2071 |
},
|
2072 |
{
|
2073 |
-
"epoch": 9.
|
2074 |
-
"grad_norm":
|
2075 |
-
"learning_rate":
|
2076 |
-
"loss": 0.
|
2077 |
"step": 2620
|
2078 |
},
|
2079 |
{
|
2080 |
-
"epoch": 9.
|
2081 |
-
"grad_norm": 0.
|
2082 |
-
"learning_rate":
|
2083 |
-
"loss": 0.
|
2084 |
"step": 2630
|
2085 |
},
|
2086 |
{
|
2087 |
-
"epoch": 9.
|
2088 |
-
"grad_norm":
|
2089 |
-
"learning_rate":
|
2090 |
-
"loss": 0.
|
2091 |
"step": 2640
|
2092 |
},
|
2093 |
{
|
2094 |
-
"epoch": 9.
|
2095 |
-
"grad_norm": 1.
|
2096 |
-
"learning_rate":
|
2097 |
-
"loss": 0.
|
2098 |
"step": 2650
|
2099 |
},
|
2100 |
{
|
2101 |
-
"epoch": 9.
|
2102 |
-
"grad_norm":
|
2103 |
-
"learning_rate":
|
2104 |
-
"loss": 0.
|
2105 |
"step": 2660
|
2106 |
},
|
2107 |
{
|
2108 |
-
"epoch": 9.
|
2109 |
-
"grad_norm":
|
2110 |
-
"learning_rate":
|
2111 |
-
"loss": 0.
|
2112 |
"step": 2670
|
2113 |
},
|
2114 |
{
|
2115 |
-
"epoch": 9.
|
2116 |
-
"grad_norm":
|
2117 |
-
"learning_rate":
|
2118 |
-
"loss": 0.
|
2119 |
"step": 2680
|
2120 |
},
|
2121 |
{
|
2122 |
-
"epoch": 9.
|
2123 |
-
"grad_norm":
|
2124 |
-
"learning_rate":
|
2125 |
-
"loss": 0.
|
2126 |
"step": 2690
|
2127 |
},
|
2128 |
{
|
2129 |
-
"epoch": 9.
|
2130 |
-
"grad_norm":
|
2131 |
-
"learning_rate":
|
2132 |
-
"loss": 0.
|
2133 |
"step": 2700
|
2134 |
},
|
2135 |
{
|
2136 |
-
"epoch": 9.
|
2137 |
-
"eval_accuracy": 0.
|
2138 |
-
"eval_loss": 0.
|
2139 |
-
"eval_runtime":
|
2140 |
-
"eval_samples_per_second":
|
2141 |
-
"eval_steps_per_second": 9.
|
2142 |
"step": 2700
|
2143 |
},
|
2144 |
{
|
2145 |
-
"epoch": 9.
|
2146 |
-
"grad_norm":
|
2147 |
-
"learning_rate":
|
2148 |
-
"loss": 0.
|
2149 |
"step": 2710
|
2150 |
},
|
2151 |
{
|
2152 |
-
"epoch":
|
2153 |
-
"grad_norm":
|
2154 |
-
"learning_rate":
|
2155 |
-
"loss": 0.
|
2156 |
"step": 2720
|
2157 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2158 |
{
|
2159 |
"epoch": 10.0,
|
2160 |
-
"step":
|
2161 |
-
"total_flos": 3.
|
2162 |
-
"train_loss": 0.
|
2163 |
-
"train_runtime":
|
2164 |
-
"train_samples_per_second":
|
2165 |
-
"train_steps_per_second": 1.
|
2166 |
}
|
2167 |
],
|
2168 |
"logging_steps": 10,
|
2169 |
-
"max_steps":
|
2170 |
"num_input_tokens_seen": 0,
|
2171 |
"num_train_epochs": 10,
|
2172 |
"save_steps": 100,
|
2173 |
-
"total_flos": 3.
|
2174 |
"train_batch_size": 16,
|
2175 |
"trial_name": null,
|
2176 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.42281925678253174,
|
3 |
+
"best_model_checkpoint": "Action_all_10_class/checkpoint-1400",
|
4 |
"epoch": 10.0,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 2790,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.04,
|
13 |
+
"grad_norm": 1.7864842414855957,
|
14 |
+
"learning_rate": 9.96415770609319e-05,
|
15 |
+
"loss": 2.2581,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.07,
|
20 |
+
"grad_norm": 1.855455756187439,
|
21 |
+
"learning_rate": 9.928315412186381e-05,
|
22 |
"loss": 2.1701,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.11,
|
27 |
+
"grad_norm": 1.9831140041351318,
|
28 |
+
"learning_rate": 9.892473118279571e-05,
|
29 |
+
"loss": 2.0292,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.14,
|
34 |
+
"grad_norm": 2.3516452312469482,
|
35 |
+
"learning_rate": 9.85663082437276e-05,
|
36 |
+
"loss": 1.9225,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.18,
|
41 |
+
"grad_norm": 2.3717079162597656,
|
42 |
+
"learning_rate": 9.820788530465951e-05,
|
43 |
+
"loss": 1.7377,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.22,
|
48 |
+
"grad_norm": 2.2911033630371094,
|
49 |
+
"learning_rate": 9.78494623655914e-05,
|
50 |
+
"loss": 1.6861,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.25,
|
55 |
+
"grad_norm": 3.3348388671875,
|
56 |
+
"learning_rate": 9.74910394265233e-05,
|
57 |
+
"loss": 1.5431,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.29,
|
62 |
+
"grad_norm": 3.6830499172210693,
|
63 |
+
"learning_rate": 9.716845878136201e-05,
|
64 |
+
"loss": 1.5209,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.32,
|
69 |
+
"grad_norm": 4.707543849945068,
|
70 |
+
"learning_rate": 9.681003584229391e-05,
|
71 |
+
"loss": 1.4562,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 0.36,
|
76 |
+
"grad_norm": 4.678582191467285,
|
77 |
+
"learning_rate": 9.645161290322581e-05,
|
78 |
+
"loss": 1.3076,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 0.36,
|
83 |
+
"eval_accuracy": 0.7259713701431493,
|
84 |
+
"eval_loss": 1.150874137878418,
|
85 |
+
"eval_runtime": 16.6221,
|
86 |
+
"eval_samples_per_second": 58.837,
|
87 |
+
"eval_steps_per_second": 7.4,
|
88 |
"step": 100
|
89 |
},
|
90 |
{
|
91 |
+
"epoch": 0.39,
|
92 |
+
"grad_norm": 3.086634397506714,
|
93 |
+
"learning_rate": 9.609318996415772e-05,
|
94 |
+
"loss": 1.2684,
|
95 |
"step": 110
|
96 |
},
|
97 |
{
|
98 |
+
"epoch": 0.43,
|
99 |
+
"grad_norm": 2.6688361167907715,
|
100 |
+
"learning_rate": 9.573476702508962e-05,
|
101 |
+
"loss": 1.1876,
|
102 |
"step": 120
|
103 |
},
|
104 |
{
|
105 |
+
"epoch": 0.47,
|
106 |
+
"grad_norm": 3.8015213012695312,
|
107 |
+
"learning_rate": 9.53763440860215e-05,
|
108 |
+
"loss": 1.135,
|
109 |
"step": 130
|
110 |
},
|
111 |
{
|
112 |
+
"epoch": 0.5,
|
113 |
+
"grad_norm": 5.519741535186768,
|
114 |
+
"learning_rate": 9.501792114695342e-05,
|
115 |
+
"loss": 1.1882,
|
116 |
"step": 140
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 0.54,
|
120 |
+
"grad_norm": 2.872791290283203,
|
121 |
+
"learning_rate": 9.465949820788531e-05,
|
122 |
+
"loss": 1.0513,
|
123 |
"step": 150
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 0.57,
|
127 |
+
"grad_norm": 3.185737371444702,
|
128 |
+
"learning_rate": 9.430107526881721e-05,
|
129 |
+
"loss": 1.1026,
|
130 |
"step": 160
|
131 |
},
|
132 |
{
|
133 |
+
"epoch": 0.61,
|
134 |
+
"grad_norm": 5.020754814147949,
|
135 |
+
"learning_rate": 9.39426523297491e-05,
|
136 |
+
"loss": 0.9906,
|
137 |
"step": 170
|
138 |
},
|
139 |
{
|
140 |
+
"epoch": 0.65,
|
141 |
+
"grad_norm": 2.217747688293457,
|
142 |
+
"learning_rate": 9.358422939068101e-05,
|
143 |
+
"loss": 0.9737,
|
144 |
"step": 180
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 0.68,
|
148 |
+
"grad_norm": 3.152509927749634,
|
149 |
+
"learning_rate": 9.32258064516129e-05,
|
150 |
+
"loss": 1.0249,
|
151 |
"step": 190
|
152 |
},
|
153 |
{
|
154 |
+
"epoch": 0.72,
|
155 |
+
"grad_norm": 5.835267066955566,
|
156 |
+
"learning_rate": 9.28673835125448e-05,
|
157 |
+
"loss": 0.9605,
|
158 |
"step": 200
|
159 |
},
|
160 |
{
|
161 |
+
"epoch": 0.72,
|
162 |
+
"eval_accuracy": 0.8057259713701431,
|
163 |
+
"eval_loss": 0.7632270455360413,
|
164 |
+
"eval_runtime": 13.1226,
|
165 |
+
"eval_samples_per_second": 74.528,
|
166 |
+
"eval_steps_per_second": 9.373,
|
167 |
"step": 200
|
168 |
},
|
169 |
{
|
170 |
+
"epoch": 0.75,
|
171 |
+
"grad_norm": 3.458073616027832,
|
172 |
+
"learning_rate": 9.25089605734767e-05,
|
173 |
+
"loss": 0.8623,
|
174 |
"step": 210
|
175 |
},
|
176 |
{
|
177 |
+
"epoch": 0.79,
|
178 |
+
"grad_norm": 3.9055118560791016,
|
179 |
+
"learning_rate": 9.215053763440861e-05,
|
180 |
+
"loss": 0.8075,
|
181 |
"step": 220
|
182 |
},
|
183 |
{
|
184 |
+
"epoch": 0.82,
|
185 |
+
"grad_norm": 5.982291221618652,
|
186 |
+
"learning_rate": 9.17921146953405e-05,
|
187 |
+
"loss": 0.8726,
|
188 |
"step": 230
|
189 |
},
|
190 |
{
|
191 |
+
"epoch": 0.86,
|
192 |
+
"grad_norm": 6.739437103271484,
|
193 |
+
"learning_rate": 9.143369175627241e-05,
|
194 |
+
"loss": 0.9887,
|
195 |
"step": 240
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 0.9,
|
199 |
+
"grad_norm": 3.962754249572754,
|
200 |
+
"learning_rate": 9.10752688172043e-05,
|
201 |
+
"loss": 0.8384,
|
202 |
"step": 250
|
203 |
},
|
204 |
{
|
205 |
+
"epoch": 0.93,
|
206 |
+
"grad_norm": 5.224504470825195,
|
207 |
+
"learning_rate": 9.07168458781362e-05,
|
208 |
+
"loss": 0.8309,
|
209 |
"step": 260
|
210 |
},
|
211 |
{
|
212 |
+
"epoch": 0.97,
|
213 |
+
"grad_norm": 6.783730983734131,
|
214 |
+
"learning_rate": 9.03584229390681e-05,
|
215 |
+
"loss": 0.756,
|
216 |
"step": 270
|
217 |
},
|
218 |
{
|
219 |
+
"epoch": 1.0,
|
220 |
+
"grad_norm": 1.871099829673767,
|
221 |
+
"learning_rate": 9e-05,
|
222 |
+
"loss": 0.7874,
|
223 |
"step": 280
|
224 |
},
|
225 |
{
|
226 |
+
"epoch": 1.04,
|
227 |
+
"grad_norm": 3.4176278114318848,
|
228 |
+
"learning_rate": 8.964157706093191e-05,
|
229 |
+
"loss": 0.7627,
|
230 |
"step": 290
|
231 |
},
|
232 |
{
|
233 |
+
"epoch": 1.08,
|
234 |
+
"grad_norm": 2.1947131156921387,
|
235 |
+
"learning_rate": 8.92831541218638e-05,
|
236 |
+
"loss": 0.7508,
|
237 |
"step": 300
|
238 |
},
|
239 |
{
|
240 |
+
"epoch": 1.08,
|
241 |
+
"eval_accuracy": 0.8006134969325154,
|
242 |
+
"eval_loss": 0.6995136141777039,
|
243 |
+
"eval_runtime": 13.1501,
|
244 |
+
"eval_samples_per_second": 74.372,
|
245 |
+
"eval_steps_per_second": 9.354,
|
246 |
"step": 300
|
247 |
},
|
248 |
{
|
249 |
+
"epoch": 1.11,
|
250 |
+
"grad_norm": 4.5141119956970215,
|
251 |
+
"learning_rate": 8.892473118279571e-05,
|
252 |
+
"loss": 0.9078,
|
253 |
"step": 310
|
254 |
},
|
255 |
{
|
256 |
+
"epoch": 1.15,
|
257 |
+
"grad_norm": 3.0271410942077637,
|
258 |
+
"learning_rate": 8.85663082437276e-05,
|
259 |
+
"loss": 0.8313,
|
260 |
"step": 320
|
261 |
},
|
262 |
{
|
263 |
+
"epoch": 1.18,
|
264 |
+
"grad_norm": 4.396864891052246,
|
265 |
+
"learning_rate": 8.82078853046595e-05,
|
266 |
+
"loss": 0.735,
|
267 |
"step": 330
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 1.22,
|
271 |
+
"grad_norm": 6.498298168182373,
|
272 |
+
"learning_rate": 8.78494623655914e-05,
|
273 |
+
"loss": 0.6945,
|
274 |
"step": 340
|
275 |
},
|
276 |
{
|
277 |
+
"epoch": 1.25,
|
278 |
+
"grad_norm": 3.187629461288452,
|
279 |
+
"learning_rate": 8.74910394265233e-05,
|
280 |
+
"loss": 0.6215,
|
281 |
"step": 350
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 1.29,
|
285 |
+
"grad_norm": 5.515172004699707,
|
286 |
+
"learning_rate": 8.713261648745519e-05,
|
287 |
+
"loss": 0.7575,
|
288 |
"step": 360
|
289 |
},
|
290 |
{
|
291 |
+
"epoch": 1.33,
|
292 |
+
"grad_norm": 4.944267749786377,
|
293 |
+
"learning_rate": 8.677419354838711e-05,
|
294 |
+
"loss": 0.7753,
|
295 |
"step": 370
|
296 |
},
|
297 |
{
|
298 |
+
"epoch": 1.36,
|
299 |
+
"grad_norm": 4.4278388023376465,
|
300 |
+
"learning_rate": 8.6415770609319e-05,
|
301 |
+
"loss": 0.7316,
|
302 |
"step": 380
|
303 |
},
|
304 |
{
|
305 |
+
"epoch": 1.4,
|
306 |
+
"grad_norm": 4.232585906982422,
|
307 |
+
"learning_rate": 8.60573476702509e-05,
|
308 |
+
"loss": 0.7011,
|
309 |
"step": 390
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 1.43,
|
313 |
+
"grad_norm": 2.1777145862579346,
|
314 |
+
"learning_rate": 8.56989247311828e-05,
|
315 |
+
"loss": 0.7542,
|
316 |
"step": 400
|
317 |
},
|
318 |
{
|
319 |
+
"epoch": 1.43,
|
320 |
+
"eval_accuracy": 0.83640081799591,
|
321 |
+
"eval_loss": 0.5710071921348572,
|
322 |
+
"eval_runtime": 13.0952,
|
323 |
+
"eval_samples_per_second": 74.684,
|
324 |
+
"eval_steps_per_second": 9.393,
|
325 |
"step": 400
|
326 |
},
|
327 |
{
|
328 |
+
"epoch": 1.47,
|
329 |
+
"grad_norm": 3.8884618282318115,
|
330 |
+
"learning_rate": 8.53405017921147e-05,
|
331 |
+
"loss": 0.6824,
|
332 |
"step": 410
|
333 |
},
|
334 |
{
|
335 |
+
"epoch": 1.51,
|
336 |
+
"grad_norm": 3.020177125930786,
|
337 |
+
"learning_rate": 8.49820788530466e-05,
|
338 |
+
"loss": 0.6009,
|
339 |
"step": 420
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 1.54,
|
343 |
+
"grad_norm": 5.7138519287109375,
|
344 |
+
"learning_rate": 8.462365591397849e-05,
|
345 |
+
"loss": 0.5374,
|
346 |
"step": 430
|
347 |
},
|
348 |
{
|
349 |
+
"epoch": 1.58,
|
350 |
+
"grad_norm": 6.61539888381958,
|
351 |
+
"learning_rate": 8.426523297491041e-05,
|
352 |
+
"loss": 0.7105,
|
353 |
"step": 440
|
354 |
},
|
355 |
{
|
356 |
+
"epoch": 1.61,
|
357 |
+
"grad_norm": 3.700871706008911,
|
358 |
+
"learning_rate": 8.39068100358423e-05,
|
359 |
+
"loss": 0.6331,
|
360 |
"step": 450
|
361 |
},
|
362 |
{
|
363 |
+
"epoch": 1.65,
|
364 |
+
"grad_norm": 6.238260269165039,
|
365 |
+
"learning_rate": 8.35483870967742e-05,
|
366 |
+
"loss": 0.7435,
|
367 |
"step": 460
|
368 |
},
|
369 |
{
|
370 |
+
"epoch": 1.68,
|
371 |
+
"grad_norm": 1.4030262231826782,
|
372 |
+
"learning_rate": 8.32258064516129e-05,
|
373 |
+
"loss": 0.6601,
|
374 |
"step": 470
|
375 |
},
|
376 |
{
|
377 |
+
"epoch": 1.72,
|
378 |
+
"grad_norm": 9.980137825012207,
|
379 |
+
"learning_rate": 8.28673835125448e-05,
|
380 |
+
"loss": 0.649,
|
381 |
"step": 480
|
382 |
},
|
383 |
{
|
384 |
+
"epoch": 1.76,
|
385 |
+
"grad_norm": 11.748491287231445,
|
386 |
+
"learning_rate": 8.250896057347671e-05,
|
387 |
+
"loss": 0.7075,
|
388 |
"step": 490
|
389 |
},
|
390 |
{
|
391 |
+
"epoch": 1.79,
|
392 |
+
"grad_norm": 7.283904552459717,
|
393 |
+
"learning_rate": 8.215053763440861e-05,
|
394 |
+
"loss": 0.6945,
|
395 |
"step": 500
|
396 |
},
|
397 |
{
|
398 |
+
"epoch": 1.79,
|
399 |
+
"eval_accuracy": 0.8588957055214724,
|
400 |
+
"eval_loss": 0.5103773474693298,
|
401 |
+
"eval_runtime": 13.2386,
|
402 |
+
"eval_samples_per_second": 73.875,
|
403 |
+
"eval_steps_per_second": 9.291,
|
404 |
"step": 500
|
405 |
},
|
406 |
{
|
407 |
+
"epoch": 1.83,
|
408 |
+
"grad_norm": 3.227905035018921,
|
409 |
+
"learning_rate": 8.179211469534051e-05,
|
410 |
+
"loss": 0.5835,
|
411 |
"step": 510
|
412 |
},
|
413 |
{
|
414 |
+
"epoch": 1.86,
|
415 |
+
"grad_norm": 4.389718532562256,
|
416 |
+
"learning_rate": 8.14336917562724e-05,
|
417 |
+
"loss": 0.6946,
|
418 |
"step": 520
|
419 |
},
|
420 |
{
|
421 |
+
"epoch": 1.9,
|
422 |
+
"grad_norm": 2.76204514503479,
|
423 |
+
"learning_rate": 8.107526881720431e-05,
|
424 |
+
"loss": 0.6389,
|
425 |
"step": 530
|
426 |
},
|
427 |
{
|
428 |
+
"epoch": 1.94,
|
429 |
+
"grad_norm": 3.973482370376587,
|
430 |
+
"learning_rate": 8.07168458781362e-05,
|
431 |
+
"loss": 0.5478,
|
432 |
"step": 540
|
433 |
},
|
434 |
{
|
435 |
+
"epoch": 1.97,
|
436 |
+
"grad_norm": 7.488864898681641,
|
437 |
+
"learning_rate": 8.03584229390681e-05,
|
438 |
+
"loss": 0.5571,
|
439 |
"step": 550
|
440 |
},
|
441 |
{
|
442 |
+
"epoch": 2.01,
|
443 |
+
"grad_norm": 4.2505059242248535,
|
444 |
+
"learning_rate": 8e-05,
|
445 |
+
"loss": 0.7184,
|
446 |
"step": 560
|
447 |
},
|
448 |
{
|
449 |
+
"epoch": 2.04,
|
450 |
+
"grad_norm": 1.9729084968566895,
|
451 |
+
"learning_rate": 7.964157706093191e-05,
|
452 |
+
"loss": 0.5643,
|
453 |
"step": 570
|
454 |
},
|
455 |
{
|
456 |
+
"epoch": 2.08,
|
457 |
+
"grad_norm": 2.607386589050293,
|
458 |
+
"learning_rate": 7.92831541218638e-05,
|
459 |
+
"loss": 0.4484,
|
460 |
"step": 580
|
461 |
},
|
462 |
{
|
463 |
+
"epoch": 2.11,
|
464 |
+
"grad_norm": 4.689638614654541,
|
465 |
+
"learning_rate": 7.892473118279571e-05,
|
466 |
+
"loss": 0.5449,
|
467 |
"step": 590
|
468 |
},
|
469 |
{
|
470 |
+
"epoch": 2.15,
|
471 |
+
"grad_norm": 6.3727707862854,
|
472 |
+
"learning_rate": 7.85663082437276e-05,
|
473 |
+
"loss": 0.5218,
|
474 |
"step": 600
|
475 |
},
|
476 |
{
|
477 |
+
"epoch": 2.15,
|
478 |
+
"eval_accuracy": 0.8343558282208589,
|
479 |
+
"eval_loss": 0.5389257073402405,
|
480 |
+
"eval_runtime": 13.1796,
|
481 |
+
"eval_samples_per_second": 74.205,
|
482 |
+
"eval_steps_per_second": 9.333,
|
483 |
"step": 600
|
484 |
},
|
485 |
{
|
486 |
+
"epoch": 2.19,
|
487 |
+
"grad_norm": 6.6133832931518555,
|
488 |
+
"learning_rate": 7.82078853046595e-05,
|
489 |
+
"loss": 0.5242,
|
490 |
"step": 610
|
491 |
},
|
492 |
{
|
493 |
+
"epoch": 2.22,
|
494 |
+
"grad_norm": 6.967311382293701,
|
495 |
+
"learning_rate": 7.784946236559139e-05,
|
496 |
+
"loss": 0.5191,
|
497 |
"step": 620
|
498 |
},
|
499 |
{
|
500 |
+
"epoch": 2.26,
|
501 |
+
"grad_norm": 6.818421363830566,
|
502 |
+
"learning_rate": 7.74910394265233e-05,
|
503 |
+
"loss": 0.4675,
|
504 |
"step": 630
|
505 |
},
|
506 |
{
|
507 |
+
"epoch": 2.29,
|
508 |
+
"grad_norm": 3.4351966381073,
|
509 |
+
"learning_rate": 7.71326164874552e-05,
|
510 |
+
"loss": 0.538,
|
511 |
"step": 640
|
512 |
},
|
513 |
{
|
514 |
+
"epoch": 2.33,
|
515 |
+
"grad_norm": 5.848361968994141,
|
516 |
+
"learning_rate": 7.67741935483871e-05,
|
517 |
+
"loss": 0.513,
|
518 |
"step": 650
|
519 |
},
|
520 |
{
|
521 |
+
"epoch": 2.37,
|
522 |
+
"grad_norm": 3.990499496459961,
|
523 |
+
"learning_rate": 7.6415770609319e-05,
|
524 |
+
"loss": 0.5287,
|
525 |
"step": 660
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 2.4,
|
529 |
+
"grad_norm": 3.2983336448669434,
|
530 |
+
"learning_rate": 7.60573476702509e-05,
|
531 |
+
"loss": 0.5794,
|
532 |
"step": 670
|
533 |
},
|
534 |
{
|
535 |
+
"epoch": 2.44,
|
536 |
+
"grad_norm": 2.981754779815674,
|
537 |
+
"learning_rate": 7.56989247311828e-05,
|
538 |
+
"loss": 0.3556,
|
539 |
"step": 680
|
540 |
},
|
541 |
{
|
542 |
+
"epoch": 2.47,
|
543 |
+
"grad_norm": 7.759634494781494,
|
544 |
+
"learning_rate": 7.53405017921147e-05,
|
545 |
+
"loss": 0.5055,
|
546 |
"step": 690
|
547 |
},
|
548 |
{
|
549 |
+
"epoch": 2.51,
|
550 |
+
"grad_norm": 7.100767135620117,
|
551 |
+
"learning_rate": 7.49820788530466e-05,
|
552 |
+
"loss": 0.5365,
|
553 |
"step": 700
|
554 |
},
|
555 |
{
|
556 |
+
"epoch": 2.51,
|
557 |
+
"eval_accuracy": 0.8466257668711656,
|
558 |
+
"eval_loss": 0.5034566521644592,
|
559 |
+
"eval_runtime": 13.0487,
|
560 |
+
"eval_samples_per_second": 74.95,
|
561 |
+
"eval_steps_per_second": 9.426,
|
562 |
"step": 700
|
563 |
},
|
564 |
{
|
565 |
+
"epoch": 2.54,
|
566 |
+
"grad_norm": 3.7873051166534424,
|
567 |
+
"learning_rate": 7.462365591397849e-05,
|
568 |
+
"loss": 0.7049,
|
569 |
"step": 710
|
570 |
},
|
571 |
{
|
572 |
+
"epoch": 2.58,
|
573 |
+
"grad_norm": 4.464657783508301,
|
574 |
+
"learning_rate": 7.42652329749104e-05,
|
575 |
+
"loss": 0.6012,
|
576 |
"step": 720
|
577 |
},
|
578 |
{
|
579 |
+
"epoch": 2.62,
|
580 |
+
"grad_norm": 6.518985271453857,
|
581 |
+
"learning_rate": 7.39426523297491e-05,
|
582 |
+
"loss": 0.6301,
|
583 |
"step": 730
|
584 |
},
|
585 |
{
|
586 |
+
"epoch": 2.65,
|
587 |
+
"grad_norm": 4.162339210510254,
|
588 |
+
"learning_rate": 7.3584229390681e-05,
|
589 |
+
"loss": 0.4366,
|
590 |
"step": 740
|
591 |
},
|
592 |
{
|
593 |
+
"epoch": 2.69,
|
594 |
+
"grad_norm": 5.646885395050049,
|
595 |
+
"learning_rate": 7.32258064516129e-05,
|
596 |
+
"loss": 0.6134,
|
597 |
"step": 750
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 2.72,
|
601 |
+
"grad_norm": 8.28348445892334,
|
602 |
+
"learning_rate": 7.28673835125448e-05,
|
603 |
+
"loss": 0.4007,
|
604 |
"step": 760
|
605 |
},
|
606 |
{
|
607 |
+
"epoch": 2.76,
|
608 |
+
"grad_norm": 2.606187105178833,
|
609 |
+
"learning_rate": 7.250896057347671e-05,
|
610 |
+
"loss": 0.5909,
|
611 |
"step": 770
|
612 |
},
|
613 |
{
|
614 |
+
"epoch": 2.8,
|
615 |
+
"grad_norm": 8.181116104125977,
|
616 |
+
"learning_rate": 7.215053763440861e-05,
|
617 |
+
"loss": 0.5286,
|
618 |
"step": 780
|
619 |
},
|
620 |
{
|
621 |
+
"epoch": 2.83,
|
622 |
+
"grad_norm": 5.969821929931641,
|
623 |
+
"learning_rate": 7.179211469534051e-05,
|
624 |
+
"loss": 0.4924,
|
625 |
"step": 790
|
626 |
},
|
627 |
{
|
628 |
+
"epoch": 2.87,
|
629 |
+
"grad_norm": 5.566159248352051,
|
630 |
+
"learning_rate": 7.14336917562724e-05,
|
631 |
+
"loss": 0.5564,
|
632 |
"step": 800
|
633 |
},
|
634 |
{
|
635 |
+
"epoch": 2.87,
|
636 |
+
"eval_accuracy": 0.8476482617586912,
|
637 |
+
"eval_loss": 0.48173415660858154,
|
638 |
+
"eval_runtime": 13.1664,
|
639 |
+
"eval_samples_per_second": 74.28,
|
640 |
+
"eval_steps_per_second": 9.342,
|
641 |
"step": 800
|
642 |
},
|
643 |
{
|
644 |
+
"epoch": 2.9,
|
645 |
+
"grad_norm": 6.260211944580078,
|
646 |
+
"learning_rate": 7.10752688172043e-05,
|
647 |
+
"loss": 0.3901,
|
648 |
"step": 810
|
649 |
},
|
650 |
{
|
651 |
+
"epoch": 2.94,
|
652 |
+
"grad_norm": 5.212798118591309,
|
653 |
+
"learning_rate": 7.07168458781362e-05,
|
654 |
+
"loss": 0.3447,
|
655 |
"step": 820
|
656 |
},
|
657 |
{
|
658 |
+
"epoch": 2.97,
|
659 |
+
"grad_norm": 3.084397554397583,
|
660 |
+
"learning_rate": 7.03584229390681e-05,
|
661 |
+
"loss": 0.5139,
|
662 |
"step": 830
|
663 |
},
|
664 |
{
|
665 |
+
"epoch": 3.01,
|
666 |
+
"grad_norm": 4.144620418548584,
|
667 |
+
"learning_rate": 7e-05,
|
668 |
+
"loss": 0.5502,
|
669 |
"step": 840
|
670 |
},
|
671 |
{
|
672 |
+
"epoch": 3.05,
|
673 |
+
"grad_norm": 4.02711296081543,
|
674 |
+
"learning_rate": 6.964157706093191e-05,
|
675 |
+
"loss": 0.3868,
|
676 |
"step": 850
|
677 |
},
|
678 |
{
|
679 |
+
"epoch": 3.08,
|
680 |
+
"grad_norm": 4.601646900177002,
|
681 |
+
"learning_rate": 6.92831541218638e-05,
|
682 |
+
"loss": 0.5119,
|
683 |
"step": 860
|
684 |
},
|
685 |
{
|
686 |
+
"epoch": 3.12,
|
687 |
+
"grad_norm": 7.631004810333252,
|
688 |
+
"learning_rate": 6.89247311827957e-05,
|
689 |
+
"loss": 0.4146,
|
690 |
"step": 870
|
691 |
},
|
692 |
{
|
693 |
+
"epoch": 3.15,
|
694 |
+
"grad_norm": 3.341120719909668,
|
695 |
+
"learning_rate": 6.85663082437276e-05,
|
696 |
+
"loss": 0.4403,
|
697 |
"step": 880
|
698 |
},
|
699 |
{
|
700 |
+
"epoch": 3.19,
|
701 |
+
"grad_norm": 3.3383867740631104,
|
702 |
+
"learning_rate": 6.82078853046595e-05,
|
703 |
+
"loss": 0.4715,
|
704 |
"step": 890
|
705 |
},
|
706 |
{
|
707 |
+
"epoch": 3.23,
|
708 |
+
"grad_norm": 5.930158615112305,
|
709 |
+
"learning_rate": 6.78494623655914e-05,
|
710 |
+
"loss": 0.4597,
|
711 |
"step": 900
|
712 |
},
|
713 |
{
|
714 |
+
"epoch": 3.23,
|
715 |
+
"eval_accuracy": 0.8599182004089979,
|
716 |
+
"eval_loss": 0.46898409724235535,
|
717 |
+
"eval_runtime": 13.1156,
|
718 |
+
"eval_samples_per_second": 74.568,
|
719 |
+
"eval_steps_per_second": 9.378,
|
720 |
"step": 900
|
721 |
},
|
722 |
{
|
723 |
+
"epoch": 3.26,
|
724 |
+
"grad_norm": 8.335565567016602,
|
725 |
+
"learning_rate": 6.74910394265233e-05,
|
726 |
+
"loss": 0.3672,
|
727 |
"step": 910
|
728 |
},
|
729 |
{
|
730 |
+
"epoch": 3.3,
|
731 |
+
"grad_norm": 4.635217189788818,
|
732 |
+
"learning_rate": 6.713261648745521e-05,
|
733 |
+
"loss": 0.4008,
|
734 |
"step": 920
|
735 |
},
|
736 |
{
|
737 |
+
"epoch": 3.33,
|
738 |
+
"grad_norm": 6.6547322273254395,
|
739 |
+
"learning_rate": 6.67741935483871e-05,
|
740 |
+
"loss": 0.4973,
|
741 |
"step": 930
|
742 |
},
|
743 |
{
|
744 |
+
"epoch": 3.37,
|
745 |
+
"grad_norm": 2.2684273719787598,
|
746 |
+
"learning_rate": 6.6415770609319e-05,
|
747 |
+
"loss": 0.3125,
|
748 |
"step": 940
|
749 |
},
|
750 |
{
|
751 |
+
"epoch": 3.41,
|
752 |
+
"grad_norm": 6.180244445800781,
|
753 |
+
"learning_rate": 6.60573476702509e-05,
|
754 |
+
"loss": 0.4356,
|
755 |
"step": 950
|
756 |
},
|
757 |
{
|
758 |
+
"epoch": 3.44,
|
759 |
+
"grad_norm": 3.5774285793304443,
|
760 |
+
"learning_rate": 6.56989247311828e-05,
|
761 |
+
"loss": 0.4316,
|
762 |
"step": 960
|
763 |
},
|
764 |
{
|
765 |
+
"epoch": 3.48,
|
766 |
+
"grad_norm": 4.347971439361572,
|
767 |
+
"learning_rate": 6.534050179211469e-05,
|
768 |
+
"loss": 0.4942,
|
769 |
"step": 970
|
770 |
},
|
771 |
{
|
772 |
+
"epoch": 3.51,
|
773 |
+
"grad_norm": 1.7022749185562134,
|
774 |
+
"learning_rate": 6.49820788530466e-05,
|
775 |
+
"loss": 0.5551,
|
776 |
"step": 980
|
777 |
},
|
778 |
{
|
779 |
+
"epoch": 3.55,
|
780 |
+
"grad_norm": 5.636997699737549,
|
781 |
+
"learning_rate": 6.46236559139785e-05,
|
782 |
+
"loss": 0.4212,
|
783 |
"step": 990
|
784 |
},
|
785 |
{
|
786 |
+
"epoch": 3.58,
|
787 |
+
"grad_norm": 1.4300520420074463,
|
788 |
+
"learning_rate": 6.42652329749104e-05,
|
789 |
+
"loss": 0.3516,
|
790 |
"step": 1000
|
791 |
},
|
792 |
{
|
793 |
+
"epoch": 3.58,
|
794 |
+
"eval_accuracy": 0.8507157464212679,
|
795 |
+
"eval_loss": 0.4920569360256195,
|
796 |
+
"eval_runtime": 13.0448,
|
797 |
+
"eval_samples_per_second": 74.972,
|
798 |
+
"eval_steps_per_second": 9.429,
|
799 |
"step": 1000
|
800 |
},
|
801 |
{
|
802 |
+
"epoch": 3.62,
|
803 |
+
"grad_norm": 3.524423837661743,
|
804 |
+
"learning_rate": 6.39068100358423e-05,
|
805 |
+
"loss": 0.4023,
|
806 |
"step": 1010
|
807 |
},
|
808 |
{
|
809 |
+
"epoch": 3.66,
|
810 |
+
"grad_norm": 7.19805383682251,
|
811 |
+
"learning_rate": 6.35483870967742e-05,
|
812 |
+
"loss": 0.3299,
|
813 |
"step": 1020
|
814 |
},
|
815 |
{
|
816 |
+
"epoch": 3.69,
|
817 |
+
"grad_norm": 5.69304084777832,
|
818 |
+
"learning_rate": 6.318996415770609e-05,
|
819 |
+
"loss": 0.4332,
|
820 |
"step": 1030
|
821 |
},
|
822 |
{
|
823 |
+
"epoch": 3.73,
|
824 |
+
"grad_norm": 5.353736400604248,
|
825 |
+
"learning_rate": 6.283154121863799e-05,
|
826 |
+
"loss": 0.4798,
|
827 |
"step": 1040
|
828 |
},
|
829 |
{
|
830 |
+
"epoch": 3.76,
|
831 |
+
"grad_norm": 5.782208442687988,
|
832 |
+
"learning_rate": 6.247311827956989e-05,
|
833 |
+
"loss": 0.4301,
|
834 |
"step": 1050
|
835 |
},
|
836 |
{
|
837 |
+
"epoch": 3.8,
|
838 |
+
"grad_norm": 5.975741386413574,
|
839 |
+
"learning_rate": 6.211469534050179e-05,
|
840 |
+
"loss": 0.3599,
|
841 |
"step": 1060
|
842 |
},
|
843 |
{
|
844 |
+
"epoch": 3.84,
|
845 |
+
"grad_norm": 6.242609977722168,
|
846 |
+
"learning_rate": 6.17562724014337e-05,
|
847 |
+
"loss": 0.4275,
|
848 |
"step": 1070
|
849 |
},
|
850 |
{
|
851 |
+
"epoch": 3.87,
|
852 |
+
"grad_norm": 5.965251922607422,
|
853 |
+
"learning_rate": 6.13978494623656e-05,
|
854 |
+
"loss": 0.5298,
|
855 |
"step": 1080
|
856 |
},
|
857 |
{
|
858 |
+
"epoch": 3.91,
|
859 |
+
"grad_norm": 9.964472770690918,
|
860 |
+
"learning_rate": 6.10394265232975e-05,
|
861 |
+
"loss": 0.479,
|
862 |
"step": 1090
|
863 |
},
|
864 |
{
|
865 |
+
"epoch": 3.94,
|
866 |
+
"grad_norm": 2.9509897232055664,
|
867 |
+
"learning_rate": 6.068100358422939e-05,
|
868 |
+
"loss": 0.3741,
|
869 |
"step": 1100
|
870 |
},
|
871 |
{
|
872 |
+
"epoch": 3.94,
|
873 |
+
"eval_accuracy": 0.8568507157464212,
|
874 |
+
"eval_loss": 0.4820023775100708,
|
875 |
+
"eval_runtime": 12.9964,
|
876 |
+
"eval_samples_per_second": 75.252,
|
877 |
+
"eval_steps_per_second": 9.464,
|
878 |
"step": 1100
|
879 |
},
|
880 |
{
|
881 |
+
"epoch": 3.98,
|
882 |
+
"grad_norm": 4.46811056137085,
|
883 |
+
"learning_rate": 6.0322580645161295e-05,
|
884 |
+
"loss": 0.2701,
|
885 |
"step": 1110
|
886 |
},
|
887 |
{
|
888 |
+
"epoch": 4.01,
|
889 |
+
"grad_norm": 3.02339506149292,
|
890 |
+
"learning_rate": 5.996415770609319e-05,
|
891 |
+
"loss": 0.3165,
|
892 |
"step": 1120
|
893 |
},
|
894 |
{
|
895 |
+
"epoch": 4.05,
|
896 |
+
"grad_norm": 4.451502323150635,
|
897 |
+
"learning_rate": 5.960573476702509e-05,
|
898 |
+
"loss": 0.4528,
|
899 |
"step": 1130
|
900 |
},
|
901 |
{
|
902 |
+
"epoch": 4.09,
|
903 |
+
"grad_norm": 3.656177520751953,
|
904 |
+
"learning_rate": 5.9247311827956994e-05,
|
905 |
+
"loss": 0.3612,
|
906 |
"step": 1140
|
907 |
},
|
908 |
{
|
909 |
+
"epoch": 4.12,
|
910 |
+
"grad_norm": 5.621472358703613,
|
911 |
+
"learning_rate": 5.8888888888888896e-05,
|
912 |
+
"loss": 0.3641,
|
913 |
"step": 1150
|
914 |
},
|
915 |
{
|
916 |
+
"epoch": 4.16,
|
917 |
+
"grad_norm": 10.402291297912598,
|
918 |
+
"learning_rate": 5.853046594982079e-05,
|
919 |
+
"loss": 0.4598,
|
920 |
"step": 1160
|
921 |
},
|
922 |
{
|
923 |
+
"epoch": 4.19,
|
924 |
+
"grad_norm": 5.005283355712891,
|
925 |
+
"learning_rate": 5.8172043010752686e-05,
|
926 |
+
"loss": 0.3746,
|
927 |
"step": 1170
|
928 |
},
|
929 |
{
|
930 |
+
"epoch": 4.23,
|
931 |
+
"grad_norm": 6.668752670288086,
|
932 |
+
"learning_rate": 5.7813620071684594e-05,
|
933 |
+
"loss": 0.416,
|
934 |
"step": 1180
|
935 |
},
|
936 |
{
|
937 |
+
"epoch": 4.27,
|
938 |
+
"grad_norm": 6.447160720825195,
|
939 |
+
"learning_rate": 5.745519713261649e-05,
|
940 |
+
"loss": 0.3504,
|
941 |
"step": 1190
|
942 |
},
|
943 |
{
|
944 |
+
"epoch": 4.3,
|
945 |
+
"grad_norm": 8.023221969604492,
|
946 |
+
"learning_rate": 5.7096774193548384e-05,
|
947 |
+
"loss": 0.4169,
|
948 |
"step": 1200
|
949 |
},
|
950 |
{
|
951 |
+
"epoch": 4.3,
|
952 |
+
"eval_accuracy": 0.852760736196319,
|
953 |
+
"eval_loss": 0.47300344705581665,
|
954 |
+
"eval_runtime": 13.1292,
|
955 |
+
"eval_samples_per_second": 74.491,
|
956 |
+
"eval_steps_per_second": 9.368,
|
957 |
"step": 1200
|
958 |
},
|
959 |
{
|
960 |
+
"epoch": 4.34,
|
961 |
+
"grad_norm": 2.819065570831299,
|
962 |
+
"learning_rate": 5.673835125448029e-05,
|
963 |
+
"loss": 0.3808,
|
964 |
"step": 1210
|
965 |
},
|
966 |
{
|
967 |
+
"epoch": 4.37,
|
968 |
+
"grad_norm": 10.216522216796875,
|
969 |
+
"learning_rate": 5.637992831541219e-05,
|
970 |
+
"loss": 0.3039,
|
971 |
"step": 1220
|
972 |
},
|
973 |
{
|
974 |
+
"epoch": 4.41,
|
975 |
+
"grad_norm": 4.38183069229126,
|
976 |
+
"learning_rate": 5.602150537634408e-05,
|
977 |
+
"loss": 0.3508,
|
978 |
"step": 1230
|
979 |
},
|
980 |
{
|
981 |
+
"epoch": 4.44,
|
982 |
+
"grad_norm": 3.4877617359161377,
|
983 |
+
"learning_rate": 5.566308243727599e-05,
|
984 |
+
"loss": 0.2875,
|
985 |
"step": 1240
|
986 |
},
|
987 |
{
|
988 |
+
"epoch": 4.48,
|
989 |
+
"grad_norm": 5.170544624328613,
|
990 |
+
"learning_rate": 5.530465949820789e-05,
|
991 |
+
"loss": 0.2425,
|
992 |
"step": 1250
|
993 |
},
|
994 |
{
|
995 |
+
"epoch": 4.52,
|
996 |
+
"grad_norm": 1.037807583808899,
|
997 |
+
"learning_rate": 5.494623655913979e-05,
|
998 |
+
"loss": 0.2618,
|
999 |
"step": 1260
|
1000 |
},
|
1001 |
{
|
1002 |
+
"epoch": 4.55,
|
1003 |
+
"grad_norm": 1.1233432292938232,
|
1004 |
+
"learning_rate": 5.458781362007169e-05,
|
1005 |
+
"loss": 0.4105,
|
1006 |
"step": 1270
|
1007 |
},
|
1008 |
{
|
1009 |
+
"epoch": 4.59,
|
1010 |
+
"grad_norm": 6.105014801025391,
|
1011 |
+
"learning_rate": 5.422939068100359e-05,
|
1012 |
+
"loss": 0.3639,
|
1013 |
"step": 1280
|
1014 |
},
|
1015 |
{
|
1016 |
+
"epoch": 4.62,
|
1017 |
+
"grad_norm": 5.100095272064209,
|
1018 |
+
"learning_rate": 5.387096774193549e-05,
|
1019 |
+
"loss": 0.4289,
|
1020 |
"step": 1290
|
1021 |
},
|
1022 |
{
|
1023 |
+
"epoch": 4.66,
|
1024 |
+
"grad_norm": 4.874768257141113,
|
1025 |
+
"learning_rate": 5.351254480286738e-05,
|
1026 |
+
"loss": 0.5131,
|
1027 |
"step": 1300
|
1028 |
},
|
1029 |
{
|
1030 |
+
"epoch": 4.66,
|
1031 |
+
"eval_accuracy": 0.8680981595092024,
|
1032 |
+
"eval_loss": 0.4481976628303528,
|
1033 |
+
"eval_runtime": 12.8876,
|
1034 |
+
"eval_samples_per_second": 75.887,
|
1035 |
+
"eval_steps_per_second": 9.544,
|
1036 |
"step": 1300
|
1037 |
},
|
1038 |
{
|
1039 |
+
"epoch": 4.7,
|
1040 |
+
"grad_norm": 3.7920286655426025,
|
1041 |
+
"learning_rate": 5.315412186379929e-05,
|
1042 |
+
"loss": 0.3811,
|
1043 |
"step": 1310
|
1044 |
},
|
1045 |
{
|
1046 |
+
"epoch": 4.73,
|
1047 |
+
"grad_norm": 4.628345489501953,
|
1048 |
+
"learning_rate": 5.2795698924731186e-05,
|
1049 |
+
"loss": 0.3271,
|
1050 |
"step": 1320
|
1051 |
},
|
1052 |
{
|
1053 |
+
"epoch": 4.77,
|
1054 |
+
"grad_norm": 7.546787261962891,
|
1055 |
+
"learning_rate": 5.243727598566308e-05,
|
1056 |
+
"loss": 0.4059,
|
1057 |
"step": 1330
|
1058 |
},
|
1059 |
{
|
1060 |
+
"epoch": 4.8,
|
1061 |
+
"grad_norm": 3.106943130493164,
|
1062 |
+
"learning_rate": 5.207885304659499e-05,
|
1063 |
+
"loss": 0.2255,
|
1064 |
"step": 1340
|
1065 |
},
|
1066 |
{
|
1067 |
+
"epoch": 4.84,
|
1068 |
+
"grad_norm": 7.233306407928467,
|
1069 |
+
"learning_rate": 5.1720430107526885e-05,
|
1070 |
+
"loss": 0.299,
|
1071 |
"step": 1350
|
1072 |
},
|
1073 |
{
|
1074 |
+
"epoch": 4.87,
|
1075 |
+
"grad_norm": 8.275094032287598,
|
1076 |
+
"learning_rate": 5.136200716845878e-05,
|
1077 |
+
"loss": 0.387,
|
1078 |
"step": 1360
|
1079 |
},
|
1080 |
{
|
1081 |
+
"epoch": 4.91,
|
1082 |
+
"grad_norm": 4.1648640632629395,
|
1083 |
+
"learning_rate": 5.100358422939069e-05,
|
1084 |
+
"loss": 0.2891,
|
1085 |
"step": 1370
|
1086 |
},
|
1087 |
{
|
1088 |
+
"epoch": 4.95,
|
1089 |
+
"grad_norm": 2.7225232124328613,
|
1090 |
+
"learning_rate": 5.064516129032258e-05,
|
1091 |
+
"loss": 0.3828,
|
1092 |
"step": 1380
|
1093 |
},
|
1094 |
{
|
1095 |
+
"epoch": 4.98,
|
1096 |
+
"grad_norm": 4.712428092956543,
|
1097 |
+
"learning_rate": 5.028673835125448e-05,
|
1098 |
+
"loss": 0.3843,
|
1099 |
"step": 1390
|
1100 |
},
|
1101 |
{
|
1102 |
+
"epoch": 5.02,
|
1103 |
+
"grad_norm": 7.5443644523620605,
|
1104 |
+
"learning_rate": 4.992831541218638e-05,
|
1105 |
+
"loss": 0.3673,
|
1106 |
"step": 1400
|
1107 |
},
|
1108 |
{
|
1109 |
+
"epoch": 5.02,
|
1110 |
+
"eval_accuracy": 0.8752556237218814,
|
1111 |
+
"eval_loss": 0.42281925678253174,
|
1112 |
+
"eval_runtime": 14.3907,
|
1113 |
+
"eval_samples_per_second": 67.961,
|
1114 |
+
"eval_steps_per_second": 8.547,
|
1115 |
"step": 1400
|
1116 |
},
|
1117 |
{
|
1118 |
+
"epoch": 5.05,
|
1119 |
+
"grad_norm": 2.7451975345611572,
|
1120 |
+
"learning_rate": 4.956989247311828e-05,
|
1121 |
+
"loss": 0.3115,
|
1122 |
"step": 1410
|
1123 |
},
|
1124 |
{
|
1125 |
+
"epoch": 5.09,
|
1126 |
+
"grad_norm": 0.5151819586753845,
|
1127 |
+
"learning_rate": 4.9211469534050184e-05,
|
1128 |
+
"loss": 0.3281,
|
1129 |
"step": 1420
|
1130 |
},
|
1131 |
{
|
1132 |
+
"epoch": 5.13,
|
1133 |
+
"grad_norm": 7.1587419509887695,
|
1134 |
+
"learning_rate": 4.8853046594982085e-05,
|
1135 |
+
"loss": 0.2715,
|
1136 |
"step": 1430
|
1137 |
},
|
1138 |
{
|
1139 |
+
"epoch": 5.16,
|
1140 |
+
"grad_norm": 6.464181423187256,
|
1141 |
+
"learning_rate": 4.849462365591398e-05,
|
1142 |
+
"loss": 0.2884,
|
1143 |
"step": 1440
|
1144 |
},
|
1145 |
{
|
1146 |
+
"epoch": 5.2,
|
1147 |
+
"grad_norm": 6.002290725708008,
|
1148 |
+
"learning_rate": 4.813620071684588e-05,
|
1149 |
+
"loss": 0.3214,
|
1150 |
"step": 1450
|
1151 |
},
|
1152 |
{
|
1153 |
+
"epoch": 5.23,
|
1154 |
+
"grad_norm": 7.911471366882324,
|
1155 |
+
"learning_rate": 4.7777777777777784e-05,
|
1156 |
+
"loss": 0.3749,
|
1157 |
"step": 1460
|
1158 |
},
|
1159 |
{
|
1160 |
+
"epoch": 5.27,
|
1161 |
+
"grad_norm": 6.183435440063477,
|
1162 |
+
"learning_rate": 4.741935483870968e-05,
|
1163 |
+
"loss": 0.4746,
|
1164 |
"step": 1470
|
1165 |
},
|
1166 |
{
|
1167 |
+
"epoch": 5.3,
|
1168 |
+
"grad_norm": 2.4367499351501465,
|
1169 |
+
"learning_rate": 4.706093189964158e-05,
|
1170 |
+
"loss": 0.2526,
|
1171 |
"step": 1480
|
1172 |
},
|
1173 |
{
|
1174 |
+
"epoch": 5.34,
|
1175 |
+
"grad_norm": 3.299232006072998,
|
1176 |
+
"learning_rate": 4.6702508960573476e-05,
|
1177 |
+
"loss": 0.3413,
|
1178 |
"step": 1490
|
1179 |
},
|
1180 |
{
|
1181 |
+
"epoch": 5.38,
|
1182 |
+
"grad_norm": 5.005585193634033,
|
1183 |
+
"learning_rate": 4.634408602150538e-05,
|
1184 |
+
"loss": 0.3722,
|
1185 |
"step": 1500
|
1186 |
},
|
1187 |
{
|
1188 |
+
"epoch": 5.38,
|
1189 |
+
"eval_accuracy": 0.8599182004089979,
|
1190 |
+
"eval_loss": 0.4820214807987213,
|
1191 |
+
"eval_runtime": 13.0602,
|
1192 |
+
"eval_samples_per_second": 74.884,
|
1193 |
+
"eval_steps_per_second": 9.418,
|
1194 |
"step": 1500
|
1195 |
},
|
1196 |
{
|
1197 |
+
"epoch": 5.41,
|
1198 |
+
"grad_norm": 4.578291416168213,
|
1199 |
+
"learning_rate": 4.598566308243728e-05,
|
1200 |
+
"loss": 0.2471,
|
1201 |
"step": 1510
|
1202 |
},
|
1203 |
{
|
1204 |
+
"epoch": 5.45,
|
1205 |
+
"grad_norm": 4.164848327636719,
|
1206 |
+
"learning_rate": 4.5627240143369175e-05,
|
1207 |
+
"loss": 0.2803,
|
1208 |
"step": 1520
|
1209 |
},
|
1210 |
{
|
1211 |
+
"epoch": 5.48,
|
1212 |
+
"grad_norm": 3.4090826511383057,
|
1213 |
+
"learning_rate": 4.5268817204301076e-05,
|
1214 |
+
"loss": 0.3843,
|
1215 |
"step": 1530
|
1216 |
},
|
1217 |
{
|
1218 |
+
"epoch": 5.52,
|
1219 |
+
"grad_norm": 3.8364851474761963,
|
1220 |
+
"learning_rate": 4.491039426523297e-05,
|
1221 |
+
"loss": 0.348,
|
1222 |
"step": 1540
|
1223 |
},
|
1224 |
{
|
1225 |
+
"epoch": 5.56,
|
1226 |
+
"grad_norm": 0.9995656609535217,
|
1227 |
+
"learning_rate": 4.455197132616487e-05,
|
1228 |
+
"loss": 0.2812,
|
1229 |
"step": 1550
|
1230 |
},
|
1231 |
{
|
1232 |
+
"epoch": 5.59,
|
1233 |
+
"grad_norm": 0.11745692044496536,
|
1234 |
+
"learning_rate": 4.4193548387096775e-05,
|
1235 |
+
"loss": 0.2775,
|
1236 |
"step": 1560
|
1237 |
},
|
1238 |
{
|
1239 |
+
"epoch": 5.63,
|
1240 |
+
"grad_norm": 8.940442085266113,
|
1241 |
+
"learning_rate": 4.383512544802868e-05,
|
1242 |
+
"loss": 0.3364,
|
1243 |
"step": 1570
|
1244 |
},
|
1245 |
{
|
1246 |
+
"epoch": 5.66,
|
1247 |
+
"grad_norm": 3.694096088409424,
|
1248 |
+
"learning_rate": 4.347670250896058e-05,
|
1249 |
+
"loss": 0.3487,
|
1250 |
"step": 1580
|
1251 |
},
|
1252 |
{
|
1253 |
+
"epoch": 5.7,
|
1254 |
+
"grad_norm": 5.201242446899414,
|
1255 |
+
"learning_rate": 4.3118279569892474e-05,
|
1256 |
+
"loss": 0.4002,
|
1257 |
"step": 1590
|
1258 |
},
|
1259 |
{
|
1260 |
+
"epoch": 5.73,
|
1261 |
+
"grad_norm": 1.3319661617279053,
|
1262 |
+
"learning_rate": 4.2759856630824376e-05,
|
1263 |
+
"loss": 0.3005,
|
1264 |
"step": 1600
|
1265 |
},
|
1266 |
{
|
1267 |
+
"epoch": 5.73,
|
1268 |
+
"eval_accuracy": 0.8732106339468303,
|
1269 |
+
"eval_loss": 0.4456250071525574,
|
1270 |
+
"eval_runtime": 13.0438,
|
1271 |
+
"eval_samples_per_second": 74.978,
|
1272 |
+
"eval_steps_per_second": 9.43,
|
1273 |
"step": 1600
|
1274 |
},
|
1275 |
{
|
1276 |
+
"epoch": 5.77,
|
1277 |
+
"grad_norm": 1.4663386344909668,
|
1278 |
+
"learning_rate": 4.240143369175628e-05,
|
1279 |
+
"loss": 0.3404,
|
1280 |
"step": 1610
|
1281 |
},
|
1282 |
{
|
1283 |
+
"epoch": 5.81,
|
1284 |
+
"grad_norm": 2.7660508155822754,
|
1285 |
+
"learning_rate": 4.204301075268817e-05,
|
1286 |
+
"loss": 0.3851,
|
1287 |
"step": 1620
|
1288 |
},
|
1289 |
{
|
1290 |
+
"epoch": 5.84,
|
1291 |
+
"grad_norm": 3.7340736389160156,
|
1292 |
+
"learning_rate": 4.1684587813620074e-05,
|
1293 |
+
"loss": 0.4027,
|
1294 |
"step": 1630
|
1295 |
},
|
1296 |
{
|
1297 |
+
"epoch": 5.88,
|
1298 |
+
"grad_norm": 3.9350473880767822,
|
1299 |
+
"learning_rate": 4.1326164874551976e-05,
|
1300 |
+
"loss": 0.2706,
|
1301 |
"step": 1640
|
1302 |
},
|
1303 |
{
|
1304 |
+
"epoch": 5.91,
|
1305 |
+
"grad_norm": 6.938910961151123,
|
1306 |
+
"learning_rate": 4.096774193548387e-05,
|
1307 |
+
"loss": 0.3173,
|
1308 |
"step": 1650
|
1309 |
},
|
1310 |
{
|
1311 |
+
"epoch": 5.95,
|
1312 |
+
"grad_norm": 2.325490713119507,
|
1313 |
+
"learning_rate": 4.060931899641577e-05,
|
1314 |
+
"loss": 0.2399,
|
1315 |
"step": 1660
|
1316 |
},
|
1317 |
{
|
1318 |
+
"epoch": 5.99,
|
1319 |
+
"grad_norm": 4.819274425506592,
|
1320 |
+
"learning_rate": 4.025089605734767e-05,
|
1321 |
+
"loss": 0.2409,
|
1322 |
"step": 1670
|
1323 |
},
|
1324 |
{
|
1325 |
+
"epoch": 6.02,
|
1326 |
+
"grad_norm": 1.799713134765625,
|
1327 |
+
"learning_rate": 3.989247311827957e-05,
|
1328 |
+
"loss": 0.3328,
|
1329 |
"step": 1680
|
1330 |
},
|
1331 |
{
|
1332 |
+
"epoch": 6.06,
|
1333 |
+
"grad_norm": 3.0742380619049072,
|
1334 |
+
"learning_rate": 3.953405017921147e-05,
|
1335 |
+
"loss": 0.3429,
|
1336 |
"step": 1690
|
1337 |
},
|
1338 |
{
|
1339 |
+
"epoch": 6.09,
|
1340 |
+
"grad_norm": 6.019571304321289,
|
1341 |
+
"learning_rate": 3.9175627240143367e-05,
|
1342 |
+
"loss": 0.2183,
|
1343 |
"step": 1700
|
1344 |
},
|
1345 |
{
|
1346 |
+
"epoch": 6.09,
|
1347 |
+
"eval_accuracy": 0.8752556237218814,
|
1348 |
+
"eval_loss": 0.42549625039100647,
|
1349 |
+
"eval_runtime": 13.4069,
|
1350 |
+
"eval_samples_per_second": 72.947,
|
1351 |
+
"eval_steps_per_second": 9.174,
|
1352 |
"step": 1700
|
1353 |
},
|
1354 |
{
|
1355 |
+
"epoch": 6.13,
|
1356 |
+
"grad_norm": 3.634247303009033,
|
1357 |
+
"learning_rate": 3.881720430107527e-05,
|
1358 |
+
"loss": 0.2822,
|
1359 |
"step": 1710
|
1360 |
},
|
1361 |
{
|
1362 |
+
"epoch": 6.16,
|
1363 |
+
"grad_norm": 1.7334699630737305,
|
1364 |
+
"learning_rate": 3.845878136200717e-05,
|
1365 |
+
"loss": 0.342,
|
1366 |
"step": 1720
|
1367 |
},
|
1368 |
{
|
1369 |
+
"epoch": 6.2,
|
1370 |
+
"grad_norm": 2.8848531246185303,
|
1371 |
+
"learning_rate": 3.810035842293907e-05,
|
1372 |
+
"loss": 0.2375,
|
1373 |
"step": 1730
|
1374 |
},
|
1375 |
{
|
1376 |
+
"epoch": 6.24,
|
1377 |
+
"grad_norm": 8.433989524841309,
|
1378 |
+
"learning_rate": 3.7741935483870974e-05,
|
1379 |
+
"loss": 0.3862,
|
1380 |
"step": 1740
|
1381 |
},
|
1382 |
{
|
1383 |
+
"epoch": 6.27,
|
1384 |
+
"grad_norm": 5.4030022621154785,
|
1385 |
+
"learning_rate": 3.738351254480287e-05,
|
1386 |
+
"loss": 0.2464,
|
1387 |
"step": 1750
|
1388 |
},
|
1389 |
{
|
1390 |
+
"epoch": 6.31,
|
1391 |
+
"grad_norm": 0.6388465762138367,
|
1392 |
+
"learning_rate": 3.702508960573477e-05,
|
1393 |
+
"loss": 0.2487,
|
1394 |
"step": 1760
|
1395 |
},
|
1396 |
{
|
1397 |
+
"epoch": 6.34,
|
1398 |
+
"grad_norm": 2.5588126182556152,
|
1399 |
+
"learning_rate": 3.6666666666666666e-05,
|
1400 |
+
"loss": 0.315,
|
1401 |
"step": 1770
|
1402 |
},
|
1403 |
{
|
1404 |
+
"epoch": 6.38,
|
1405 |
+
"grad_norm": 2.1331589221954346,
|
1406 |
+
"learning_rate": 3.630824372759857e-05,
|
1407 |
+
"loss": 0.3208,
|
1408 |
"step": 1780
|
1409 |
},
|
1410 |
{
|
1411 |
+
"epoch": 6.42,
|
1412 |
+
"grad_norm": 5.283192157745361,
|
1413 |
+
"learning_rate": 3.594982078853047e-05,
|
1414 |
+
"loss": 0.231,
|
1415 |
"step": 1790
|
1416 |
},
|
1417 |
{
|
1418 |
+
"epoch": 6.45,
|
1419 |
+
"grad_norm": 1.1380605697631836,
|
1420 |
+
"learning_rate": 3.5591397849462364e-05,
|
1421 |
+
"loss": 0.2546,
|
1422 |
"step": 1800
|
1423 |
},
|
1424 |
{
|
1425 |
+
"epoch": 6.45,
|
1426 |
+
"eval_accuracy": 0.8680981595092024,
|
1427 |
+
"eval_loss": 0.4643884301185608,
|
1428 |
+
"eval_runtime": 13.3117,
|
1429 |
+
"eval_samples_per_second": 73.469,
|
1430 |
+
"eval_steps_per_second": 9.24,
|
1431 |
"step": 1800
|
1432 |
},
|
1433 |
{
|
1434 |
+
"epoch": 6.49,
|
1435 |
+
"grad_norm": 6.120726585388184,
|
1436 |
+
"learning_rate": 3.5232974910394266e-05,
|
1437 |
+
"loss": 0.3022,
|
1438 |
"step": 1810
|
1439 |
},
|
1440 |
{
|
1441 |
+
"epoch": 6.52,
|
1442 |
+
"grad_norm": 4.132528305053711,
|
1443 |
+
"learning_rate": 3.487455197132617e-05,
|
1444 |
+
"loss": 0.2711,
|
1445 |
"step": 1820
|
1446 |
},
|
1447 |
{
|
1448 |
+
"epoch": 6.56,
|
1449 |
+
"grad_norm": 0.2836366295814514,
|
1450 |
+
"learning_rate": 3.451612903225806e-05,
|
1451 |
+
"loss": 0.2759,
|
1452 |
"step": 1830
|
1453 |
},
|
1454 |
{
|
1455 |
+
"epoch": 6.59,
|
1456 |
+
"grad_norm": 4.501558303833008,
|
1457 |
+
"learning_rate": 3.4157706093189965e-05,
|
1458 |
+
"loss": 0.2287,
|
1459 |
"step": 1840
|
1460 |
},
|
1461 |
{
|
1462 |
+
"epoch": 6.63,
|
1463 |
+
"grad_norm": 7.157699108123779,
|
1464 |
+
"learning_rate": 3.379928315412187e-05,
|
1465 |
+
"loss": 0.1862,
|
1466 |
"step": 1850
|
1467 |
},
|
1468 |
{
|
1469 |
+
"epoch": 6.67,
|
1470 |
+
"grad_norm": 6.248540878295898,
|
1471 |
+
"learning_rate": 3.344086021505377e-05,
|
1472 |
+
"loss": 0.3247,
|
1473 |
"step": 1860
|
1474 |
},
|
1475 |
{
|
1476 |
+
"epoch": 6.7,
|
1477 |
+
"grad_norm": 4.108403205871582,
|
1478 |
+
"learning_rate": 3.308243727598567e-05,
|
1479 |
+
"loss": 0.3535,
|
1480 |
"step": 1870
|
1481 |
},
|
1482 |
{
|
1483 |
+
"epoch": 6.74,
|
1484 |
+
"grad_norm": 4.134276866912842,
|
1485 |
+
"learning_rate": 3.2724014336917565e-05,
|
1486 |
+
"loss": 0.217,
|
1487 |
"step": 1880
|
1488 |
},
|
1489 |
{
|
1490 |
+
"epoch": 6.77,
|
1491 |
+
"grad_norm": 2.2216591835021973,
|
1492 |
+
"learning_rate": 3.236559139784947e-05,
|
1493 |
+
"loss": 0.1901,
|
1494 |
"step": 1890
|
1495 |
},
|
1496 |
{
|
1497 |
+
"epoch": 6.81,
|
1498 |
+
"grad_norm": 3.7293379306793213,
|
1499 |
+
"learning_rate": 3.200716845878136e-05,
|
1500 |
+
"loss": 0.3798,
|
1501 |
"step": 1900
|
1502 |
},
|
1503 |
{
|
1504 |
+
"epoch": 6.81,
|
1505 |
+
"eval_accuracy": 0.852760736196319,
|
1506 |
+
"eval_loss": 0.4917815029621124,
|
1507 |
+
"eval_runtime": 13.2098,
|
1508 |
+
"eval_samples_per_second": 74.036,
|
1509 |
+
"eval_steps_per_second": 9.311,
|
1510 |
"step": 1900
|
1511 |
},
|
1512 |
{
|
1513 |
+
"epoch": 6.85,
|
1514 |
+
"grad_norm": 9.140816688537598,
|
1515 |
+
"learning_rate": 3.1648745519713264e-05,
|
1516 |
+
"loss": 0.3056,
|
1517 |
"step": 1910
|
1518 |
},
|
1519 |
{
|
1520 |
+
"epoch": 6.88,
|
1521 |
+
"grad_norm": 5.005599498748779,
|
1522 |
+
"learning_rate": 3.1290322580645166e-05,
|
1523 |
+
"loss": 0.144,
|
1524 |
"step": 1920
|
1525 |
},
|
1526 |
{
|
1527 |
+
"epoch": 6.92,
|
1528 |
+
"grad_norm": 8.45984172821045,
|
1529 |
+
"learning_rate": 3.093189964157706e-05,
|
1530 |
+
"loss": 0.2561,
|
1531 |
"step": 1930
|
1532 |
},
|
1533 |
{
|
1534 |
+
"epoch": 6.95,
|
1535 |
+
"grad_norm": 9.944540023803711,
|
1536 |
+
"learning_rate": 3.057347670250896e-05,
|
1537 |
+
"loss": 0.3116,
|
1538 |
"step": 1940
|
1539 |
},
|
1540 |
{
|
1541 |
+
"epoch": 6.99,
|
1542 |
+
"grad_norm": 5.759355545043945,
|
1543 |
+
"learning_rate": 3.0215053763440858e-05,
|
1544 |
+
"loss": 0.3236,
|
1545 |
"step": 1950
|
1546 |
},
|
1547 |
{
|
1548 |
+
"epoch": 7.03,
|
1549 |
+
"grad_norm": 3.6583213806152344,
|
1550 |
+
"learning_rate": 2.985663082437276e-05,
|
1551 |
+
"loss": 0.2651,
|
1552 |
"step": 1960
|
1553 |
},
|
1554 |
{
|
1555 |
+
"epoch": 7.06,
|
1556 |
+
"grad_norm": 3.7694921493530273,
|
1557 |
+
"learning_rate": 2.949820788530466e-05,
|
1558 |
+
"loss": 0.273,
|
1559 |
"step": 1970
|
1560 |
},
|
1561 |
{
|
1562 |
+
"epoch": 7.1,
|
1563 |
+
"grad_norm": 7.003334045410156,
|
1564 |
+
"learning_rate": 2.913978494623656e-05,
|
1565 |
+
"loss": 0.2574,
|
1566 |
"step": 1980
|
1567 |
},
|
1568 |
{
|
1569 |
+
"epoch": 7.13,
|
1570 |
+
"grad_norm": 5.475174427032471,
|
1571 |
+
"learning_rate": 2.878136200716846e-05,
|
1572 |
+
"loss": 0.1923,
|
1573 |
"step": 1990
|
1574 |
},
|
1575 |
{
|
1576 |
+
"epoch": 7.17,
|
1577 |
+
"grad_norm": 4.163592338562012,
|
1578 |
+
"learning_rate": 2.8422939068100357e-05,
|
1579 |
+
"loss": 0.2851,
|
1580 |
"step": 2000
|
1581 |
},
|
1582 |
{
|
1583 |
+
"epoch": 7.17,
|
1584 |
+
"eval_accuracy": 0.8660531697341514,
|
1585 |
+
"eval_loss": 0.45738592743873596,
|
1586 |
+
"eval_runtime": 13.0257,
|
1587 |
+
"eval_samples_per_second": 75.082,
|
1588 |
+
"eval_steps_per_second": 9.443,
|
1589 |
"step": 2000
|
1590 |
},
|
1591 |
{
|
1592 |
+
"epoch": 7.2,
|
1593 |
+
"grad_norm": 1.4400478601455688,
|
1594 |
+
"learning_rate": 2.806451612903226e-05,
|
1595 |
+
"loss": 0.157,
|
1596 |
"step": 2010
|
1597 |
},
|
1598 |
{
|
1599 |
+
"epoch": 7.24,
|
1600 |
+
"grad_norm": 3.958745241165161,
|
1601 |
+
"learning_rate": 2.770609318996416e-05,
|
1602 |
+
"loss": 0.2556,
|
1603 |
"step": 2020
|
1604 |
},
|
1605 |
{
|
1606 |
+
"epoch": 7.28,
|
1607 |
+
"grad_norm": 2.083286762237549,
|
1608 |
+
"learning_rate": 2.734767025089606e-05,
|
1609 |
+
"loss": 0.2341,
|
1610 |
"step": 2030
|
1611 |
},
|
1612 |
{
|
1613 |
+
"epoch": 7.31,
|
1614 |
+
"grad_norm": 9.330533027648926,
|
1615 |
+
"learning_rate": 2.698924731182796e-05,
|
1616 |
+
"loss": 0.2742,
|
1617 |
"step": 2040
|
1618 |
},
|
1619 |
{
|
1620 |
+
"epoch": 7.35,
|
1621 |
+
"grad_norm": 1.6954762935638428,
|
1622 |
+
"learning_rate": 2.6630824372759862e-05,
|
1623 |
+
"loss": 0.1567,
|
1624 |
"step": 2050
|
1625 |
},
|
1626 |
{
|
1627 |
+
"epoch": 7.38,
|
1628 |
+
"grad_norm": 12.555899620056152,
|
1629 |
+
"learning_rate": 2.6272401433691757e-05,
|
1630 |
+
"loss": 0.1988,
|
1631 |
"step": 2060
|
1632 |
},
|
1633 |
{
|
1634 |
+
"epoch": 7.42,
|
1635 |
+
"grad_norm": 2.7985002994537354,
|
1636 |
+
"learning_rate": 2.591397849462366e-05,
|
1637 |
+
"loss": 0.2954,
|
1638 |
"step": 2070
|
1639 |
},
|
1640 |
{
|
1641 |
+
"epoch": 7.46,
|
1642 |
+
"grad_norm": 3.0381124019622803,
|
1643 |
+
"learning_rate": 2.5555555555555554e-05,
|
1644 |
+
"loss": 0.2345,
|
1645 |
"step": 2080
|
1646 |
},
|
1647 |
{
|
1648 |
+
"epoch": 7.49,
|
1649 |
+
"grad_norm": 4.35617208480835,
|
1650 |
+
"learning_rate": 2.5197132616487456e-05,
|
1651 |
+
"loss": 0.2736,
|
1652 |
"step": 2090
|
1653 |
},
|
1654 |
{
|
1655 |
+
"epoch": 7.53,
|
1656 |
+
"grad_norm": 7.855186939239502,
|
1657 |
+
"learning_rate": 2.4838709677419354e-05,
|
1658 |
+
"loss": 0.3897,
|
1659 |
"step": 2100
|
1660 |
},
|
1661 |
{
|
1662 |
+
"epoch": 7.53,
|
1663 |
+
"eval_accuracy": 0.8650306748466258,
|
1664 |
+
"eval_loss": 0.47503402829170227,
|
1665 |
+
"eval_runtime": 13.2431,
|
1666 |
+
"eval_samples_per_second": 73.85,
|
1667 |
+
"eval_steps_per_second": 9.288,
|
1668 |
"step": 2100
|
1669 |
},
|
1670 |
{
|
1671 |
+
"epoch": 7.56,
|
1672 |
+
"grad_norm": 8.723631858825684,
|
1673 |
+
"learning_rate": 2.4480286738351256e-05,
|
1674 |
+
"loss": 0.2814,
|
1675 |
"step": 2110
|
1676 |
},
|
1677 |
{
|
1678 |
+
"epoch": 7.6,
|
1679 |
+
"grad_norm": 8.104424476623535,
|
1680 |
+
"learning_rate": 2.4121863799283158e-05,
|
1681 |
+
"loss": 0.345,
|
1682 |
"step": 2120
|
1683 |
},
|
1684 |
{
|
1685 |
+
"epoch": 7.63,
|
1686 |
+
"grad_norm": 2.0964772701263428,
|
1687 |
+
"learning_rate": 2.3763440860215056e-05,
|
1688 |
+
"loss": 0.1643,
|
1689 |
"step": 2130
|
1690 |
},
|
1691 |
{
|
1692 |
+
"epoch": 7.67,
|
1693 |
+
"grad_norm": 6.627722263336182,
|
1694 |
+
"learning_rate": 2.3405017921146955e-05,
|
1695 |
+
"loss": 0.2667,
|
1696 |
"step": 2140
|
1697 |
},
|
1698 |
{
|
1699 |
+
"epoch": 7.71,
|
1700 |
+
"grad_norm": 8.275358200073242,
|
1701 |
+
"learning_rate": 2.3046594982078853e-05,
|
1702 |
+
"loss": 0.1747,
|
1703 |
"step": 2150
|
1704 |
},
|
1705 |
{
|
1706 |
+
"epoch": 7.74,
|
1707 |
+
"grad_norm": 2.7480711936950684,
|
1708 |
+
"learning_rate": 2.268817204301075e-05,
|
1709 |
+
"loss": 0.2789,
|
1710 |
"step": 2160
|
1711 |
},
|
1712 |
{
|
1713 |
+
"epoch": 7.78,
|
1714 |
+
"grad_norm": 4.440505504608154,
|
1715 |
+
"learning_rate": 2.2329749103942653e-05,
|
1716 |
+
"loss": 0.244,
|
1717 |
"step": 2170
|
1718 |
},
|
1719 |
{
|
1720 |
+
"epoch": 7.81,
|
1721 |
+
"grad_norm": 3.1027097702026367,
|
1722 |
+
"learning_rate": 2.1971326164874552e-05,
|
1723 |
+
"loss": 0.1924,
|
1724 |
"step": 2180
|
1725 |
},
|
1726 |
{
|
1727 |
+
"epoch": 7.85,
|
1728 |
+
"grad_norm": 0.49080890417099,
|
1729 |
+
"learning_rate": 2.1612903225806454e-05,
|
1730 |
+
"loss": 0.1648,
|
1731 |
"step": 2190
|
1732 |
},
|
1733 |
{
|
1734 |
+
"epoch": 7.89,
|
1735 |
+
"grad_norm": 7.749617099761963,
|
1736 |
+
"learning_rate": 2.1254480286738352e-05,
|
1737 |
+
"loss": 0.2879,
|
1738 |
"step": 2200
|
1739 |
},
|
1740 |
{
|
1741 |
+
"epoch": 7.89,
|
1742 |
+
"eval_accuracy": 0.8640081799591002,
|
1743 |
+
"eval_loss": 0.4739380478858948,
|
1744 |
+
"eval_runtime": 13.2662,
|
1745 |
+
"eval_samples_per_second": 73.721,
|
1746 |
+
"eval_steps_per_second": 9.272,
|
1747 |
"step": 2200
|
1748 |
},
|
1749 |
{
|
1750 |
+
"epoch": 7.92,
|
1751 |
+
"grad_norm": 4.843421459197998,
|
1752 |
+
"learning_rate": 2.0896057347670254e-05,
|
1753 |
+
"loss": 0.1315,
|
1754 |
"step": 2210
|
1755 |
},
|
1756 |
{
|
1757 |
+
"epoch": 7.96,
|
1758 |
+
"grad_norm": 11.301743507385254,
|
1759 |
+
"learning_rate": 2.0537634408602152e-05,
|
1760 |
+
"loss": 0.2476,
|
1761 |
"step": 2220
|
1762 |
},
|
1763 |
{
|
1764 |
+
"epoch": 7.99,
|
1765 |
+
"grad_norm": 5.654230117797852,
|
1766 |
+
"learning_rate": 2.017921146953405e-05,
|
1767 |
+
"loss": 0.2347,
|
1768 |
"step": 2230
|
1769 |
},
|
1770 |
{
|
1771 |
+
"epoch": 8.03,
|
1772 |
+
"grad_norm": 1.8168110847473145,
|
1773 |
+
"learning_rate": 1.982078853046595e-05,
|
1774 |
+
"loss": 0.2233,
|
1775 |
"step": 2240
|
1776 |
},
|
1777 |
{
|
1778 |
+
"epoch": 8.06,
|
1779 |
+
"grad_norm": 6.872961521148682,
|
1780 |
+
"learning_rate": 1.9462365591397848e-05,
|
1781 |
+
"loss": 0.295,
|
1782 |
"step": 2250
|
1783 |
},
|
1784 |
{
|
1785 |
+
"epoch": 8.1,
|
1786 |
+
"grad_norm": 1.988438606262207,
|
1787 |
+
"learning_rate": 1.910394265232975e-05,
|
1788 |
+
"loss": 0.2193,
|
1789 |
"step": 2260
|
1790 |
},
|
1791 |
{
|
1792 |
+
"epoch": 8.14,
|
1793 |
+
"grad_norm": 2.3927271366119385,
|
1794 |
+
"learning_rate": 1.874551971326165e-05,
|
1795 |
+
"loss": 0.1755,
|
1796 |
"step": 2270
|
1797 |
},
|
1798 |
{
|
1799 |
+
"epoch": 8.17,
|
1800 |
+
"grad_norm": 9.944202423095703,
|
1801 |
+
"learning_rate": 1.838709677419355e-05,
|
1802 |
+
"loss": 0.3156,
|
1803 |
"step": 2280
|
1804 |
},
|
1805 |
{
|
1806 |
+
"epoch": 8.21,
|
1807 |
+
"grad_norm": 1.3722007274627686,
|
1808 |
+
"learning_rate": 1.8028673835125448e-05,
|
1809 |
+
"loss": 0.1877,
|
1810 |
"step": 2290
|
1811 |
},
|
1812 |
{
|
1813 |
+
"epoch": 8.24,
|
1814 |
+
"grad_norm": 2.698289394378662,
|
1815 |
+
"learning_rate": 1.767025089605735e-05,
|
1816 |
+
"loss": 0.1619,
|
1817 |
"step": 2300
|
1818 |
},
|
1819 |
{
|
1820 |
+
"epoch": 8.24,
|
1821 |
+
"eval_accuracy": 0.8701431492842536,
|
1822 |
+
"eval_loss": 0.46446332335472107,
|
1823 |
+
"eval_runtime": 13.2992,
|
1824 |
+
"eval_samples_per_second": 73.538,
|
1825 |
+
"eval_steps_per_second": 9.249,
|
1826 |
"step": 2300
|
1827 |
},
|
1828 |
{
|
1829 |
+
"epoch": 8.28,
|
1830 |
+
"grad_norm": 4.195601463317871,
|
1831 |
+
"learning_rate": 1.7311827956989248e-05,
|
1832 |
+
"loss": 0.1302,
|
1833 |
"step": 2310
|
1834 |
},
|
1835 |
{
|
1836 |
+
"epoch": 8.32,
|
1837 |
+
"grad_norm": 8.367218971252441,
|
1838 |
+
"learning_rate": 1.6953405017921147e-05,
|
1839 |
+
"loss": 0.2366,
|
1840 |
"step": 2320
|
1841 |
},
|
1842 |
{
|
1843 |
+
"epoch": 8.35,
|
1844 |
+
"grad_norm": 1.637813925743103,
|
1845 |
+
"learning_rate": 1.659498207885305e-05,
|
1846 |
+
"loss": 0.1395,
|
1847 |
"step": 2330
|
1848 |
},
|
1849 |
{
|
1850 |
+
"epoch": 8.39,
|
1851 |
+
"grad_norm": 7.9814677238464355,
|
1852 |
+
"learning_rate": 1.6236559139784947e-05,
|
1853 |
+
"loss": 0.2804,
|
1854 |
"step": 2340
|
1855 |
},
|
1856 |
{
|
1857 |
+
"epoch": 8.42,
|
1858 |
+
"grad_norm": 0.23666299879550934,
|
1859 |
+
"learning_rate": 1.587813620071685e-05,
|
1860 |
+
"loss": 0.2186,
|
1861 |
"step": 2350
|
1862 |
},
|
1863 |
{
|
1864 |
+
"epoch": 8.46,
|
1865 |
+
"grad_norm": 7.456205368041992,
|
1866 |
+
"learning_rate": 1.5519713261648747e-05,
|
1867 |
+
"loss": 0.2733,
|
1868 |
"step": 2360
|
1869 |
},
|
1870 |
{
|
1871 |
+
"epoch": 8.49,
|
1872 |
+
"grad_norm": 3.73573899269104,
|
1873 |
+
"learning_rate": 1.5161290322580646e-05,
|
1874 |
+
"loss": 0.2891,
|
1875 |
"step": 2370
|
1876 |
},
|
1877 |
{
|
1878 |
+
"epoch": 8.53,
|
1879 |
+
"grad_norm": 1.723080039024353,
|
1880 |
+
"learning_rate": 1.4802867383512544e-05,
|
1881 |
+
"loss": 0.2959,
|
1882 |
"step": 2380
|
1883 |
},
|
1884 |
{
|
1885 |
+
"epoch": 8.57,
|
1886 |
+
"grad_norm": 2.3597002029418945,
|
1887 |
+
"learning_rate": 1.4444444444444444e-05,
|
1888 |
+
"loss": 0.2784,
|
1889 |
"step": 2390
|
1890 |
},
|
1891 |
{
|
1892 |
+
"epoch": 8.6,
|
1893 |
+
"grad_norm": 0.19159385561943054,
|
1894 |
+
"learning_rate": 1.4086021505376346e-05,
|
1895 |
+
"loss": 0.1791,
|
1896 |
"step": 2400
|
1897 |
},
|
1898 |
{
|
1899 |
+
"epoch": 8.6,
|
1900 |
+
"eval_accuracy": 0.8670756646216768,
|
1901 |
+
"eval_loss": 0.46364837884902954,
|
1902 |
+
"eval_runtime": 13.0224,
|
1903 |
+
"eval_samples_per_second": 75.101,
|
1904 |
+
"eval_steps_per_second": 9.445,
|
1905 |
"step": 2400
|
1906 |
},
|
1907 |
{
|
1908 |
+
"epoch": 8.64,
|
1909 |
+
"grad_norm": 8.25283145904541,
|
1910 |
+
"learning_rate": 1.3727598566308244e-05,
|
1911 |
+
"loss": 0.2331,
|
1912 |
"step": 2410
|
1913 |
},
|
1914 |
{
|
1915 |
+
"epoch": 8.67,
|
1916 |
+
"grad_norm": 4.816408157348633,
|
1917 |
+
"learning_rate": 1.3369175627240143e-05,
|
1918 |
+
"loss": 0.1704,
|
1919 |
"step": 2420
|
1920 |
},
|
1921 |
{
|
1922 |
+
"epoch": 8.71,
|
1923 |
+
"grad_norm": 10.364704132080078,
|
1924 |
+
"learning_rate": 1.3010752688172043e-05,
|
1925 |
+
"loss": 0.2854,
|
1926 |
"step": 2430
|
1927 |
},
|
1928 |
{
|
1929 |
+
"epoch": 8.75,
|
1930 |
+
"grad_norm": 6.165342807769775,
|
1931 |
+
"learning_rate": 1.2652329749103945e-05,
|
1932 |
+
"loss": 0.1635,
|
1933 |
"step": 2440
|
1934 |
},
|
1935 |
{
|
1936 |
+
"epoch": 8.78,
|
1937 |
+
"grad_norm": 10.325529098510742,
|
1938 |
+
"learning_rate": 1.2293906810035843e-05,
|
1939 |
+
"loss": 0.2685,
|
1940 |
"step": 2450
|
1941 |
},
|
1942 |
{
|
1943 |
+
"epoch": 8.82,
|
1944 |
+
"grad_norm": 1.4126335382461548,
|
1945 |
+
"learning_rate": 1.1935483870967743e-05,
|
1946 |
+
"loss": 0.1575,
|
1947 |
"step": 2460
|
1948 |
},
|
1949 |
{
|
1950 |
+
"epoch": 8.85,
|
1951 |
+
"grad_norm": 8.191924095153809,
|
1952 |
+
"learning_rate": 1.1577060931899642e-05,
|
1953 |
+
"loss": 0.2585,
|
1954 |
"step": 2470
|
1955 |
},
|
1956 |
{
|
1957 |
+
"epoch": 8.89,
|
1958 |
+
"grad_norm": 6.928045272827148,
|
1959 |
+
"learning_rate": 1.1218637992831542e-05,
|
1960 |
+
"loss": 0.2129,
|
1961 |
"step": 2480
|
1962 |
},
|
1963 |
{
|
1964 |
+
"epoch": 8.92,
|
1965 |
+
"grad_norm": 2.3231565952301025,
|
1966 |
+
"learning_rate": 1.086021505376344e-05,
|
1967 |
+
"loss": 0.3085,
|
1968 |
"step": 2490
|
1969 |
},
|
1970 |
{
|
1971 |
+
"epoch": 8.96,
|
1972 |
+
"grad_norm": 2.7480709552764893,
|
1973 |
+
"learning_rate": 1.0501792114695342e-05,
|
1974 |
+
"loss": 0.1697,
|
1975 |
"step": 2500
|
1976 |
},
|
1977 |
{
|
1978 |
+
"epoch": 8.96,
|
1979 |
+
"eval_accuracy": 0.8640081799591002,
|
1980 |
+
"eval_loss": 0.4716458022594452,
|
1981 |
+
"eval_runtime": 13.2964,
|
1982 |
+
"eval_samples_per_second": 73.554,
|
1983 |
+
"eval_steps_per_second": 9.251,
|
1984 |
"step": 2500
|
1985 |
},
|
1986 |
{
|
1987 |
+
"epoch": 9.0,
|
1988 |
+
"grad_norm": 6.852436542510986,
|
1989 |
+
"learning_rate": 1.014336917562724e-05,
|
1990 |
+
"loss": 0.1856,
|
1991 |
"step": 2510
|
1992 |
},
|
1993 |
{
|
1994 |
+
"epoch": 9.03,
|
1995 |
+
"grad_norm": 5.506394863128662,
|
1996 |
+
"learning_rate": 9.78494623655914e-06,
|
1997 |
+
"loss": 0.1951,
|
1998 |
"step": 2520
|
1999 |
},
|
2000 |
{
|
2001 |
+
"epoch": 9.07,
|
2002 |
+
"grad_norm": 3.1270835399627686,
|
2003 |
+
"learning_rate": 9.426523297491039e-06,
|
2004 |
+
"loss": 0.1896,
|
2005 |
"step": 2530
|
2006 |
},
|
2007 |
{
|
2008 |
+
"epoch": 9.1,
|
2009 |
+
"grad_norm": 3.797590732574463,
|
2010 |
+
"learning_rate": 9.06810035842294e-06,
|
2011 |
+
"loss": 0.2276,
|
2012 |
"step": 2540
|
2013 |
},
|
2014 |
{
|
2015 |
+
"epoch": 9.14,
|
2016 |
+
"grad_norm": 4.3236985206604,
|
2017 |
+
"learning_rate": 8.70967741935484e-06,
|
2018 |
+
"loss": 0.2272,
|
2019 |
"step": 2550
|
2020 |
},
|
2021 |
{
|
2022 |
+
"epoch": 9.18,
|
2023 |
+
"grad_norm": 4.975371837615967,
|
2024 |
+
"learning_rate": 8.351254480286738e-06,
|
2025 |
+
"loss": 0.2491,
|
2026 |
"step": 2560
|
2027 |
},
|
2028 |
{
|
2029 |
+
"epoch": 9.21,
|
2030 |
+
"grad_norm": 1.405785083770752,
|
2031 |
+
"learning_rate": 7.992831541218638e-06,
|
2032 |
+
"loss": 0.1985,
|
2033 |
"step": 2570
|
2034 |
},
|
2035 |
{
|
2036 |
+
"epoch": 9.25,
|
2037 |
+
"grad_norm": 0.13112181425094604,
|
2038 |
+
"learning_rate": 7.634408602150538e-06,
|
2039 |
+
"loss": 0.1134,
|
2040 |
"step": 2580
|
2041 |
},
|
2042 |
{
|
2043 |
+
"epoch": 9.28,
|
2044 |
+
"grad_norm": 2.597059965133667,
|
2045 |
+
"learning_rate": 7.275985663082438e-06,
|
2046 |
+
"loss": 0.229,
|
2047 |
"step": 2590
|
2048 |
},
|
2049 |
{
|
2050 |
+
"epoch": 9.32,
|
2051 |
+
"grad_norm": 0.1491578221321106,
|
2052 |
+
"learning_rate": 6.917562724014337e-06,
|
2053 |
+
"loss": 0.1608,
|
2054 |
"step": 2600
|
2055 |
},
|
2056 |
{
|
2057 |
+
"epoch": 9.32,
|
2058 |
+
"eval_accuracy": 0.8742331288343558,
|
2059 |
+
"eval_loss": 0.4680761694908142,
|
2060 |
+
"eval_runtime": 13.2277,
|
2061 |
+
"eval_samples_per_second": 73.936,
|
2062 |
+
"eval_steps_per_second": 9.299,
|
2063 |
"step": 2600
|
2064 |
},
|
2065 |
{
|
2066 |
+
"epoch": 9.35,
|
2067 |
+
"grad_norm": 3.264333724975586,
|
2068 |
+
"learning_rate": 6.559139784946237e-06,
|
2069 |
+
"loss": 0.2228,
|
2070 |
"step": 2610
|
2071 |
},
|
2072 |
{
|
2073 |
+
"epoch": 9.39,
|
2074 |
+
"grad_norm": 3.251711130142212,
|
2075 |
+
"learning_rate": 6.200716845878137e-06,
|
2076 |
+
"loss": 0.1504,
|
2077 |
"step": 2620
|
2078 |
},
|
2079 |
{
|
2080 |
+
"epoch": 9.43,
|
2081 |
+
"grad_norm": 0.05231141671538353,
|
2082 |
+
"learning_rate": 5.842293906810036e-06,
|
2083 |
+
"loss": 0.1097,
|
2084 |
"step": 2630
|
2085 |
},
|
2086 |
{
|
2087 |
+
"epoch": 9.46,
|
2088 |
+
"grad_norm": 6.941389083862305,
|
2089 |
+
"learning_rate": 5.483870967741936e-06,
|
2090 |
+
"loss": 0.2046,
|
2091 |
"step": 2640
|
2092 |
},
|
2093 |
{
|
2094 |
+
"epoch": 9.5,
|
2095 |
+
"grad_norm": 1.9816231727600098,
|
2096 |
+
"learning_rate": 5.125448028673835e-06,
|
2097 |
+
"loss": 0.2879,
|
2098 |
"step": 2650
|
2099 |
},
|
2100 |
{
|
2101 |
+
"epoch": 9.53,
|
2102 |
+
"grad_norm": 1.5215052366256714,
|
2103 |
+
"learning_rate": 4.767025089605735e-06,
|
2104 |
+
"loss": 0.2352,
|
2105 |
"step": 2660
|
2106 |
},
|
2107 |
{
|
2108 |
+
"epoch": 9.57,
|
2109 |
+
"grad_norm": 0.055237527936697006,
|
2110 |
+
"learning_rate": 4.408602150537635e-06,
|
2111 |
+
"loss": 0.1954,
|
2112 |
"step": 2670
|
2113 |
},
|
2114 |
{
|
2115 |
+
"epoch": 9.61,
|
2116 |
+
"grad_norm": 4.320139408111572,
|
2117 |
+
"learning_rate": 4.050179211469534e-06,
|
2118 |
+
"loss": 0.3845,
|
2119 |
"step": 2680
|
2120 |
},
|
2121 |
{
|
2122 |
+
"epoch": 9.64,
|
2123 |
+
"grad_norm": 3.767547607421875,
|
2124 |
+
"learning_rate": 3.6917562724014336e-06,
|
2125 |
+
"loss": 0.3031,
|
2126 |
"step": 2690
|
2127 |
},
|
2128 |
{
|
2129 |
+
"epoch": 9.68,
|
2130 |
+
"grad_norm": 0.48145973682403564,
|
2131 |
+
"learning_rate": 3.3333333333333333e-06,
|
2132 |
+
"loss": 0.2105,
|
2133 |
"step": 2700
|
2134 |
},
|
2135 |
{
|
2136 |
+
"epoch": 9.68,
|
2137 |
+
"eval_accuracy": 0.8721881390593047,
|
2138 |
+
"eval_loss": 0.47190210223197937,
|
2139 |
+
"eval_runtime": 13.2161,
|
2140 |
+
"eval_samples_per_second": 74.001,
|
2141 |
+
"eval_steps_per_second": 9.307,
|
2142 |
"step": 2700
|
2143 |
},
|
2144 |
{
|
2145 |
+
"epoch": 9.71,
|
2146 |
+
"grad_norm": 1.6004977226257324,
|
2147 |
+
"learning_rate": 2.974910394265233e-06,
|
2148 |
+
"loss": 0.2186,
|
2149 |
"step": 2710
|
2150 |
},
|
2151 |
{
|
2152 |
+
"epoch": 9.75,
|
2153 |
+
"grad_norm": 0.4472026228904724,
|
2154 |
+
"learning_rate": 2.6164874551971327e-06,
|
2155 |
+
"loss": 0.1528,
|
2156 |
"step": 2720
|
2157 |
},
|
2158 |
+
{
|
2159 |
+
"epoch": 9.78,
|
2160 |
+
"grad_norm": 0.12501764297485352,
|
2161 |
+
"learning_rate": 2.2580645161290324e-06,
|
2162 |
+
"loss": 0.1218,
|
2163 |
+
"step": 2730
|
2164 |
+
},
|
2165 |
+
{
|
2166 |
+
"epoch": 9.82,
|
2167 |
+
"grad_norm": 2.206127405166626,
|
2168 |
+
"learning_rate": 1.8996415770609319e-06,
|
2169 |
+
"loss": 0.1324,
|
2170 |
+
"step": 2740
|
2171 |
+
},
|
2172 |
+
{
|
2173 |
+
"epoch": 9.86,
|
2174 |
+
"grad_norm": 0.9404085278511047,
|
2175 |
+
"learning_rate": 1.5412186379928316e-06,
|
2176 |
+
"loss": 0.2832,
|
2177 |
+
"step": 2750
|
2178 |
+
},
|
2179 |
+
{
|
2180 |
+
"epoch": 9.89,
|
2181 |
+
"grad_norm": 5.883946418762207,
|
2182 |
+
"learning_rate": 1.1827956989247313e-06,
|
2183 |
+
"loss": 0.2113,
|
2184 |
+
"step": 2760
|
2185 |
+
},
|
2186 |
+
{
|
2187 |
+
"epoch": 9.93,
|
2188 |
+
"grad_norm": 5.288418292999268,
|
2189 |
+
"learning_rate": 8.243727598566309e-07,
|
2190 |
+
"loss": 0.1662,
|
2191 |
+
"step": 2770
|
2192 |
+
},
|
2193 |
+
{
|
2194 |
+
"epoch": 9.96,
|
2195 |
+
"grad_norm": 8.01339054107666,
|
2196 |
+
"learning_rate": 4.6594982078853055e-07,
|
2197 |
+
"loss": 0.1672,
|
2198 |
+
"step": 2780
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 10.0,
|
2202 |
+
"grad_norm": 7.813081741333008,
|
2203 |
+
"learning_rate": 1.0752688172043011e-07,
|
2204 |
+
"loss": 0.1825,
|
2205 |
+
"step": 2790
|
2206 |
+
},
|
2207 |
{
|
2208 |
"epoch": 10.0,
|
2209 |
+
"step": 2790,
|
2210 |
+
"total_flos": 3.451740694569861e+18,
|
2211 |
+
"train_loss": 0.45333294201922675,
|
2212 |
+
"train_runtime": 1524.4216,
|
2213 |
+
"train_samples_per_second": 29.218,
|
2214 |
+
"train_steps_per_second": 1.83
|
2215 |
}
|
2216 |
],
|
2217 |
"logging_steps": 10,
|
2218 |
+
"max_steps": 2790,
|
2219 |
"num_input_tokens_seen": 0,
|
2220 |
"num_train_epochs": 10,
|
2221 |
"save_steps": 100,
|
2222 |
+
"total_flos": 3.451740694569861e+18,
|
2223 |
"train_batch_size": 16,
|
2224 |
"trial_name": null,
|
2225 |
"trial_params": null
|