Model save
Browse files- README.md +9 -10
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- num_examples=200/llava-v1.5-13b_5.0/adapter_config.json +5 -5
- num_examples=200/llava-v1.5-13b_5.0/adapter_model.safetensors +1 -1
- num_examples=200/llava-v1.5-13b_5.0/training_args.bin +1 -1
- trainer_state.json +2296 -656
- training_args.bin +2 -2
README.md
CHANGED
@@ -1,27 +1,26 @@
|
|
1 |
---
|
2 |
library_name: peft
|
3 |
tags:
|
4 |
-
- liuhaotian/llava-v1.5-13b_20.0
|
5 |
- generated_from_trainer
|
6 |
base_model: liuhaotian/llava-v1.5-13b
|
7 |
model-index:
|
8 |
-
- name:
|
9 |
results: []
|
10 |
---
|
11 |
|
12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
should probably proofread and complete it, then remove this comment. -->
|
14 |
|
15 |
-
#
|
16 |
|
17 |
-
This model is a fine-tuned version of [liuhaotian/llava-v1.5-
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- eval_loss: 0.
|
20 |
-
- eval_runtime:
|
21 |
-
- eval_samples_per_second: 8.
|
22 |
-
- eval_steps_per_second: 0.
|
23 |
-
- epoch:
|
24 |
-
- step:
|
25 |
|
26 |
## Model description
|
27 |
|
|
|
1 |
---
|
2 |
library_name: peft
|
3 |
tags:
|
|
|
4 |
- generated_from_trainer
|
5 |
base_model: liuhaotian/llava-v1.5-13b
|
6 |
model-index:
|
7 |
+
- name: llava_13b_country_synthetic
|
8 |
results: []
|
9 |
---
|
10 |
|
11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
12 |
should probably proofread and complete it, then remove this comment. -->
|
13 |
|
14 |
+
# llava_13b_country_synthetic
|
15 |
|
16 |
+
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- eval_loss: 0.0093
|
19 |
+
- eval_runtime: 97.3995
|
20 |
+
- eval_samples_per_second: 8.901
|
21 |
+
- eval_steps_per_second: 0.565
|
22 |
+
- epoch: 4.0
|
23 |
+
- step: 220
|
24 |
|
25 |
## Model description
|
26 |
|
adapter_config.json
CHANGED
@@ -20,13 +20,13 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
-
"
|
|
|
24 |
"k_proj",
|
25 |
"down_proj",
|
26 |
-
"up_proj",
|
27 |
-
"gate_proj",
|
28 |
"v_proj",
|
29 |
-
"
|
|
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"q_proj",
|
25 |
"k_proj",
|
26 |
"down_proj",
|
|
|
|
|
27 |
"v_proj",
|
28 |
+
"o_proj",
|
29 |
+
"up_proj"
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1001466944
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3ed0897015e15da724e810d3a6d5fd252074b36452607c9de6881d46ffbdf88c
|
3 |
size 1001466944
|
num_examples=200/llava-v1.5-13b_5.0/adapter_config.json
CHANGED
@@ -20,13 +20,13 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
-
"
|
24 |
-
"up_proj",
|
25 |
-
"down_proj",
|
26 |
"q_proj",
|
27 |
"k_proj",
|
28 |
-
"
|
29 |
-
"
|
|
|
|
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
+
"gate_proj",
|
|
|
|
|
24 |
"q_proj",
|
25 |
"k_proj",
|
26 |
+
"down_proj",
|
27 |
+
"v_proj",
|
28 |
+
"o_proj",
|
29 |
+
"up_proj"
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
num_examples=200/llava-v1.5-13b_5.0/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1001466944
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3ed0897015e15da724e810d3a6d5fd252074b36452607c9de6881d46ffbdf88c
|
3 |
size 1001466944
|
num_examples=200/llava-v1.5-13b_5.0/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6776
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:50cb5a00a127d1119065ece76ebb6a418997be0a1112d98e0d65d26e43d05e19
|
3 |
size 6776
|
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -11,1779 +11,3419 @@
|
|
11 |
{
|
12 |
"epoch": 0.04,
|
13 |
"learning_rate": 0.0,
|
14 |
-
"loss": 1.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.07,
|
19 |
-
"learning_rate":
|
20 |
-
"loss": 1.
|
21 |
"step": 2
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.11,
|
25 |
-
"learning_rate":
|
26 |
-
"loss": 1.
|
27 |
"step": 3
|
28 |
},
|
29 |
{
|
30 |
-
"epoch": 0.
|
31 |
-
"learning_rate":
|
32 |
-
"loss": 1.
|
33 |
"step": 4
|
34 |
},
|
35 |
{
|
36 |
-
"epoch": 0.
|
37 |
-
"learning_rate": 0.
|
38 |
-
"loss": 1.
|
39 |
"step": 5
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0.
|
43 |
-
"learning_rate": 0.
|
44 |
-
"loss":
|
45 |
"step": 6
|
46 |
},
|
47 |
{
|
48 |
-
"epoch": 0.
|
49 |
-
"learning_rate": 0.
|
50 |
-
"loss":
|
51 |
"step": 7
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"learning_rate": 0.
|
56 |
-
"loss": 0.
|
57 |
"step": 8
|
58 |
},
|
59 |
{
|
60 |
-
"epoch": 0.
|
61 |
-
"learning_rate": 0.
|
62 |
-
"loss": 0.
|
63 |
"step": 9
|
64 |
},
|
65 |
{
|
66 |
-
"epoch": 0.
|
67 |
-
"learning_rate": 0.
|
68 |
-
"loss": 0.
|
69 |
"step": 10
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
-
"learning_rate": 0.
|
74 |
-
"loss": 0.
|
75 |
"step": 11
|
76 |
},
|
77 |
{
|
78 |
-
"epoch": 0.
|
79 |
-
"learning_rate": 0.
|
80 |
-
"loss": 0.
|
81 |
"step": 12
|
82 |
},
|
83 |
{
|
84 |
-
"epoch": 0.
|
85 |
-
"learning_rate": 0.
|
86 |
-
"loss": 0.
|
87 |
"step": 13
|
88 |
},
|
89 |
{
|
90 |
-
"epoch": 0.
|
91 |
-
"learning_rate": 0.
|
92 |
-
"loss": 0.
|
93 |
"step": 14
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"learning_rate": 0.
|
98 |
-
"loss": 0.
|
99 |
"step": 15
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
-
"learning_rate": 0.
|
104 |
-
"loss": 0.
|
105 |
"step": 16
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 0.
|
109 |
"learning_rate": 0.0002,
|
110 |
-
"loss": 0.
|
111 |
"step": 17
|
112 |
},
|
113 |
{
|
114 |
-
"epoch": 0.
|
115 |
"learning_rate": 0.0002,
|
116 |
-
"loss": 0.
|
117 |
"step": 18
|
118 |
},
|
119 |
{
|
120 |
-
"epoch": 0.
|
121 |
"learning_rate": 0.0002,
|
122 |
-
"loss": 0.
|
123 |
"step": 19
|
124 |
},
|
125 |
{
|
126 |
-
"epoch": 0.
|
127 |
"learning_rate": 0.0002,
|
128 |
-
"loss": 0.
|
129 |
"step": 20
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
"learning_rate": 0.0002,
|
134 |
-
"loss": 0.
|
135 |
"step": 21
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
"learning_rate": 0.0002,
|
140 |
-
"loss": 0.
|
141 |
"step": 22
|
142 |
},
|
143 |
{
|
144 |
-
"epoch": 0.
|
145 |
"learning_rate": 0.0002,
|
146 |
-
"loss": 0.
|
147 |
"step": 23
|
148 |
},
|
149 |
{
|
150 |
-
"epoch": 0.
|
151 |
"learning_rate": 0.0002,
|
152 |
-
"loss": 0.
|
153 |
"step": 24
|
154 |
},
|
155 |
{
|
156 |
-
"epoch": 0.
|
157 |
"learning_rate": 0.0002,
|
158 |
-
"loss": 0.
|
159 |
"step": 25
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
"learning_rate": 0.0002,
|
164 |
-
"loss": 0.
|
165 |
"step": 26
|
166 |
},
|
167 |
{
|
168 |
-
"epoch": 0
|
169 |
"learning_rate": 0.0002,
|
170 |
-
"loss": 0.
|
171 |
"step": 27
|
172 |
},
|
173 |
{
|
174 |
"epoch": 1.0,
|
175 |
-
"
|
176 |
-
"
|
177 |
-
"
|
|
|
|
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 1.
|
181 |
-
"
|
182 |
-
"
|
183 |
-
"eval_samples_per_second": 15.752,
|
184 |
-
"eval_steps_per_second": 0.509,
|
185 |
"step": 28
|
186 |
},
|
187 |
{
|
188 |
-
"epoch": 1.
|
189 |
"learning_rate": 0.0002,
|
190 |
-
"loss": 0.
|
191 |
"step": 29
|
192 |
},
|
193 |
{
|
194 |
-
"epoch": 1.
|
195 |
"learning_rate": 0.0002,
|
196 |
-
"loss": 0.
|
197 |
"step": 30
|
198 |
},
|
199 |
{
|
200 |
-
"epoch": 1.
|
201 |
"learning_rate": 0.0002,
|
202 |
-
"loss": 0.
|
203 |
"step": 31
|
204 |
},
|
205 |
{
|
206 |
-
"epoch": 1.
|
207 |
"learning_rate": 0.0002,
|
208 |
-
"loss": 0.
|
209 |
"step": 32
|
210 |
},
|
211 |
{
|
212 |
-
"epoch": 1.
|
213 |
"learning_rate": 0.0002,
|
214 |
-
"loss": 0.
|
215 |
"step": 33
|
216 |
},
|
217 |
{
|
218 |
-
"epoch": 1.
|
219 |
"learning_rate": 0.0002,
|
220 |
-
"loss": 0.
|
221 |
"step": 34
|
222 |
},
|
223 |
{
|
224 |
-
"epoch": 1.
|
225 |
"learning_rate": 0.0002,
|
226 |
-
"loss": 0.
|
227 |
"step": 35
|
228 |
},
|
229 |
{
|
230 |
-
"epoch": 1.
|
231 |
"learning_rate": 0.0002,
|
232 |
-
"loss": 0.
|
233 |
"step": 36
|
234 |
},
|
235 |
{
|
236 |
-
"epoch": 1.
|
237 |
"learning_rate": 0.0002,
|
238 |
-
"loss": 0.
|
239 |
"step": 37
|
240 |
},
|
241 |
{
|
242 |
-
"epoch": 1.
|
243 |
"learning_rate": 0.0002,
|
244 |
-
"loss": 0.
|
245 |
"step": 38
|
246 |
},
|
247 |
{
|
248 |
-
"epoch": 1.
|
249 |
"learning_rate": 0.0002,
|
250 |
-
"loss": 0.
|
251 |
"step": 39
|
252 |
},
|
253 |
{
|
254 |
-
"epoch": 1.
|
255 |
"learning_rate": 0.0002,
|
256 |
-
"loss": 0.
|
257 |
"step": 40
|
258 |
},
|
259 |
{
|
260 |
-
"epoch": 1.
|
261 |
"learning_rate": 0.0002,
|
262 |
-
"loss": 0.
|
263 |
"step": 41
|
264 |
},
|
265 |
{
|
266 |
-
"epoch": 1.
|
267 |
"learning_rate": 0.0002,
|
268 |
-
"loss": 0.
|
269 |
"step": 42
|
270 |
},
|
271 |
{
|
272 |
-
"epoch": 1.
|
273 |
"learning_rate": 0.0002,
|
274 |
-
"loss": 0.
|
275 |
"step": 43
|
276 |
},
|
277 |
{
|
278 |
-
"epoch": 1.
|
279 |
"learning_rate": 0.0002,
|
280 |
-
"loss": 0.
|
281 |
"step": 44
|
282 |
},
|
283 |
{
|
284 |
-
"epoch": 1.
|
285 |
"learning_rate": 0.0002,
|
286 |
-
"loss": 0.
|
287 |
"step": 45
|
288 |
},
|
289 |
{
|
290 |
-
"epoch": 1.
|
291 |
"learning_rate": 0.0002,
|
292 |
-
"loss": 0.
|
293 |
"step": 46
|
294 |
},
|
295 |
{
|
296 |
-
"epoch": 1.
|
297 |
"learning_rate": 0.0002,
|
298 |
-
"loss": 0.
|
299 |
"step": 47
|
300 |
},
|
301 |
{
|
302 |
-
"epoch": 1.
|
303 |
"learning_rate": 0.0002,
|
304 |
-
"loss": 0.
|
305 |
"step": 48
|
306 |
},
|
307 |
{
|
308 |
-
"epoch": 1.
|
309 |
"learning_rate": 0.0002,
|
310 |
-
"loss": 0.
|
311 |
"step": 49
|
312 |
},
|
313 |
{
|
314 |
-
"epoch": 1.
|
315 |
"learning_rate": 0.0002,
|
316 |
-
"loss": 0.
|
317 |
"step": 50
|
318 |
},
|
319 |
{
|
320 |
-
"epoch": 1.
|
321 |
"learning_rate": 0.0002,
|
322 |
-
"loss": 0.
|
323 |
"step": 51
|
324 |
},
|
325 |
{
|
326 |
-
"epoch": 1.
|
327 |
"learning_rate": 0.0002,
|
328 |
-
"loss": 0.
|
329 |
"step": 52
|
330 |
},
|
331 |
{
|
332 |
-
"epoch": 1.
|
333 |
"learning_rate": 0.0002,
|
334 |
-
"loss": 0.
|
335 |
"step": 53
|
336 |
},
|
337 |
{
|
338 |
-
"epoch":
|
339 |
"learning_rate": 0.0002,
|
340 |
-
"loss": 0.
|
341 |
"step": 54
|
342 |
},
|
343 |
{
|
344 |
-
"epoch":
|
345 |
-
"
|
346 |
-
"
|
347 |
-
"
|
|
|
|
|
348 |
},
|
349 |
{
|
350 |
-
"epoch": 2.
|
351 |
"learning_rate": 0.0002,
|
352 |
-
"loss": 0.
|
353 |
-
"step":
|
354 |
},
|
355 |
{
|
356 |
-
"epoch": 2.
|
357 |
-
"
|
358 |
-
"
|
359 |
-
"eval_samples_per_second": 15.73,
|
360 |
-
"eval_steps_per_second": 0.508,
|
361 |
"step": 56
|
362 |
},
|
363 |
{
|
364 |
-
"epoch": 2.
|
365 |
"learning_rate": 0.0002,
|
366 |
-
"loss": 0.
|
367 |
"step": 57
|
368 |
},
|
369 |
{
|
370 |
-
"epoch": 2.
|
371 |
"learning_rate": 0.0002,
|
372 |
-
"loss": 0.
|
373 |
"step": 58
|
374 |
},
|
375 |
{
|
376 |
-
"epoch": 2.
|
377 |
"learning_rate": 0.0002,
|
378 |
-
"loss": 0.
|
379 |
"step": 59
|
380 |
},
|
381 |
{
|
382 |
-
"epoch": 2.
|
383 |
"learning_rate": 0.0002,
|
384 |
-
"loss": 0.
|
385 |
"step": 60
|
386 |
},
|
387 |
{
|
388 |
-
"epoch": 2.
|
389 |
"learning_rate": 0.0002,
|
390 |
-
"loss": 0.
|
391 |
"step": 61
|
392 |
},
|
393 |
{
|
394 |
-
"epoch": 2.
|
395 |
"learning_rate": 0.0002,
|
396 |
-
"loss": 0.
|
397 |
"step": 62
|
398 |
},
|
399 |
{
|
400 |
-
"epoch": 2.
|
401 |
"learning_rate": 0.0002,
|
402 |
-
"loss": 0.
|
403 |
"step": 63
|
404 |
},
|
405 |
{
|
406 |
-
"epoch": 2.
|
407 |
"learning_rate": 0.0002,
|
408 |
-
"loss": 0.
|
409 |
"step": 64
|
410 |
},
|
411 |
{
|
412 |
-
"epoch": 2.
|
413 |
"learning_rate": 0.0002,
|
414 |
-
"loss": 0.
|
415 |
"step": 65
|
416 |
},
|
417 |
{
|
418 |
-
"epoch": 2.
|
419 |
"learning_rate": 0.0002,
|
420 |
-
"loss": 0.
|
421 |
"step": 66
|
422 |
},
|
423 |
{
|
424 |
-
"epoch": 2.
|
425 |
"learning_rate": 0.0002,
|
426 |
-
"loss": 0.
|
427 |
"step": 67
|
428 |
},
|
429 |
{
|
430 |
-
"epoch": 2.
|
431 |
"learning_rate": 0.0002,
|
432 |
-
"loss": 0.
|
433 |
"step": 68
|
434 |
},
|
435 |
{
|
436 |
-
"epoch": 2.
|
437 |
"learning_rate": 0.0002,
|
438 |
-
"loss": 0.
|
439 |
"step": 69
|
440 |
},
|
441 |
{
|
442 |
-
"epoch": 2.
|
443 |
"learning_rate": 0.0002,
|
444 |
-
"loss": 0.
|
445 |
"step": 70
|
446 |
},
|
447 |
{
|
448 |
-
"epoch": 2.
|
449 |
"learning_rate": 0.0002,
|
450 |
-
"loss": 0.
|
451 |
"step": 71
|
452 |
},
|
453 |
{
|
454 |
-
"epoch": 2.
|
455 |
"learning_rate": 0.0002,
|
456 |
-
"loss": 0.
|
457 |
"step": 72
|
458 |
},
|
459 |
{
|
460 |
-
"epoch": 2.
|
461 |
"learning_rate": 0.0002,
|
462 |
-
"loss": 0.
|
463 |
"step": 73
|
464 |
},
|
465 |
{
|
466 |
-
"epoch": 2.
|
467 |
"learning_rate": 0.0002,
|
468 |
-
"loss": 0.
|
469 |
"step": 74
|
470 |
},
|
471 |
{
|
472 |
-
"epoch": 2.
|
473 |
"learning_rate": 0.0002,
|
474 |
-
"loss": 0.
|
475 |
"step": 75
|
476 |
},
|
477 |
{
|
478 |
-
"epoch": 2.
|
479 |
"learning_rate": 0.0002,
|
480 |
-
"loss": 0.
|
481 |
"step": 76
|
482 |
},
|
483 |
{
|
484 |
-
"epoch": 2.
|
485 |
"learning_rate": 0.0002,
|
486 |
-
"loss": 0.
|
487 |
"step": 77
|
488 |
},
|
489 |
{
|
490 |
-
"epoch": 2.
|
491 |
"learning_rate": 0.0002,
|
492 |
-
"loss": 0.
|
493 |
"step": 78
|
494 |
},
|
495 |
{
|
496 |
-
"epoch": 2.
|
497 |
"learning_rate": 0.0002,
|
498 |
-
"loss": 0.
|
499 |
"step": 79
|
500 |
},
|
501 |
{
|
502 |
-
"epoch": 2.
|
503 |
"learning_rate": 0.0002,
|
504 |
-
"loss": 0.
|
505 |
"step": 80
|
506 |
},
|
507 |
{
|
508 |
-
"epoch":
|
509 |
"learning_rate": 0.0002,
|
510 |
-
"loss": 0.
|
511 |
"step": 81
|
512 |
},
|
513 |
{
|
514 |
-
"epoch":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
515 |
"learning_rate": 0.0002,
|
516 |
-
"loss": 0.
|
517 |
"step": 82
|
518 |
},
|
519 |
{
|
520 |
-
"epoch":
|
521 |
"learning_rate": 0.0002,
|
522 |
-
"loss": 0.
|
523 |
"step": 83
|
524 |
},
|
525 |
{
|
526 |
-
"epoch": 3.
|
527 |
"learning_rate": 0.0002,
|
528 |
-
"loss": 0.
|
529 |
-
"step": 84
|
530 |
-
},
|
531 |
-
{
|
532 |
-
"epoch": 3.0,
|
533 |
-
"eval_loss": 0.015407511964440346,
|
534 |
-
"eval_runtime": 55.2224,
|
535 |
-
"eval_samples_per_second": 15.7,
|
536 |
-
"eval_steps_per_second": 0.507,
|
537 |
"step": 84
|
538 |
},
|
539 |
{
|
540 |
-
"epoch": 3.
|
541 |
"learning_rate": 0.0002,
|
542 |
-
"loss": 0.
|
543 |
"step": 85
|
544 |
},
|
545 |
{
|
546 |
-
"epoch": 3.
|
547 |
"learning_rate": 0.0002,
|
548 |
-
"loss": 0.
|
549 |
"step": 86
|
550 |
},
|
551 |
{
|
552 |
-
"epoch": 3.
|
553 |
"learning_rate": 0.0002,
|
554 |
-
"loss": 0.
|
555 |
"step": 87
|
556 |
},
|
557 |
{
|
558 |
-
"epoch": 3.
|
559 |
"learning_rate": 0.0002,
|
560 |
-
"loss": 0.
|
561 |
"step": 88
|
562 |
},
|
563 |
{
|
564 |
-
"epoch": 3.
|
565 |
"learning_rate": 0.0002,
|
566 |
-
"loss": 0.
|
567 |
"step": 89
|
568 |
},
|
569 |
{
|
570 |
-
"epoch": 3.
|
571 |
"learning_rate": 0.0002,
|
572 |
-
"loss": 0.
|
573 |
"step": 90
|
574 |
},
|
575 |
{
|
576 |
-
"epoch": 3.
|
577 |
"learning_rate": 0.0002,
|
578 |
-
"loss": 0.
|
579 |
"step": 91
|
580 |
},
|
581 |
{
|
582 |
-
"epoch": 3.
|
583 |
"learning_rate": 0.0002,
|
584 |
-
"loss": 0.
|
585 |
"step": 92
|
586 |
},
|
587 |
{
|
588 |
-
"epoch": 3.
|
589 |
"learning_rate": 0.0002,
|
590 |
-
"loss": 0.
|
591 |
"step": 93
|
592 |
},
|
593 |
{
|
594 |
-
"epoch": 3.
|
595 |
"learning_rate": 0.0002,
|
596 |
-
"loss": 0.
|
597 |
"step": 94
|
598 |
},
|
599 |
{
|
600 |
-
"epoch": 3.
|
601 |
"learning_rate": 0.0002,
|
602 |
-
"loss": 0.
|
603 |
"step": 95
|
604 |
},
|
605 |
{
|
606 |
-
"epoch": 3.
|
607 |
"learning_rate": 0.0002,
|
608 |
-
"loss": 0.
|
609 |
"step": 96
|
610 |
},
|
611 |
{
|
612 |
-
"epoch": 3.
|
613 |
"learning_rate": 0.0002,
|
614 |
-
"loss": 0.
|
615 |
"step": 97
|
616 |
},
|
617 |
{
|
618 |
-
"epoch": 3.
|
619 |
"learning_rate": 0.0002,
|
620 |
-
"loss": 0.
|
621 |
"step": 98
|
622 |
},
|
623 |
{
|
624 |
-
"epoch": 3.
|
625 |
"learning_rate": 0.0002,
|
626 |
-
"loss": 0.
|
627 |
"step": 99
|
628 |
},
|
629 |
{
|
630 |
-
"epoch": 3.
|
631 |
"learning_rate": 0.0002,
|
632 |
-
"loss": 0.
|
633 |
"step": 100
|
634 |
},
|
635 |
{
|
636 |
-
"epoch": 3.
|
637 |
"learning_rate": 0.0002,
|
638 |
-
"loss": 0.
|
639 |
"step": 101
|
640 |
},
|
641 |
{
|
642 |
-
"epoch": 3.
|
643 |
"learning_rate": 0.0002,
|
644 |
-
"loss": 0.
|
645 |
"step": 102
|
646 |
},
|
647 |
{
|
648 |
-
"epoch": 3.
|
649 |
"learning_rate": 0.0002,
|
650 |
-
"loss": 0.
|
651 |
"step": 103
|
652 |
},
|
653 |
{
|
654 |
-
"epoch": 3.
|
655 |
"learning_rate": 0.0002,
|
656 |
-
"loss": 0.
|
657 |
"step": 104
|
658 |
},
|
659 |
{
|
660 |
-
"epoch": 3.
|
661 |
"learning_rate": 0.0002,
|
662 |
-
"loss": 0.
|
663 |
"step": 105
|
664 |
},
|
665 |
{
|
666 |
-
"epoch": 3.
|
667 |
"learning_rate": 0.0002,
|
668 |
-
"loss": 0.
|
669 |
"step": 106
|
670 |
},
|
671 |
{
|
672 |
-
"epoch": 3.
|
673 |
"learning_rate": 0.0002,
|
674 |
-
"loss": 0.
|
675 |
"step": 107
|
676 |
},
|
677 |
{
|
678 |
-
"epoch":
|
679 |
"learning_rate": 0.0002,
|
680 |
-
"loss": 0.
|
681 |
"step": 108
|
682 |
},
|
683 |
{
|
684 |
-
"epoch":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
685 |
"learning_rate": 0.0002,
|
686 |
-
"loss": 0.
|
687 |
"step": 109
|
688 |
},
|
689 |
{
|
690 |
-
"epoch":
|
691 |
"learning_rate": 0.0002,
|
692 |
-
"loss": 0.
|
693 |
"step": 110
|
694 |
},
|
695 |
{
|
696 |
-
"epoch":
|
697 |
"learning_rate": 0.0002,
|
698 |
-
"loss": 0.
|
699 |
"step": 111
|
700 |
},
|
701 |
{
|
702 |
-
"epoch": 4.
|
703 |
"learning_rate": 0.0002,
|
704 |
-
"loss": 0.
|
705 |
-
"step": 112
|
706 |
-
},
|
707 |
-
{
|
708 |
-
"epoch": 4.0,
|
709 |
-
"eval_loss": 0.009237131103873253,
|
710 |
-
"eval_runtime": 55.2594,
|
711 |
-
"eval_samples_per_second": 15.69,
|
712 |
-
"eval_steps_per_second": 0.507,
|
713 |
"step": 112
|
714 |
},
|
715 |
{
|
716 |
-
"epoch": 4.
|
717 |
"learning_rate": 0.0002,
|
718 |
-
"loss": 0.
|
719 |
"step": 113
|
720 |
},
|
721 |
{
|
722 |
-
"epoch": 4.
|
723 |
"learning_rate": 0.0002,
|
724 |
-
"loss": 0.
|
725 |
"step": 114
|
726 |
},
|
727 |
{
|
728 |
-
"epoch": 4.
|
729 |
"learning_rate": 0.0002,
|
730 |
-
"loss": 0.
|
731 |
"step": 115
|
732 |
},
|
733 |
{
|
734 |
-
"epoch": 4.
|
735 |
"learning_rate": 0.0002,
|
736 |
-
"loss": 0.
|
737 |
"step": 116
|
738 |
},
|
739 |
{
|
740 |
-
"epoch": 4.
|
741 |
"learning_rate": 0.0002,
|
742 |
-
"loss": 0.
|
743 |
"step": 117
|
744 |
},
|
745 |
{
|
746 |
-
"epoch": 4.
|
747 |
"learning_rate": 0.0002,
|
748 |
-
"loss": 0.
|
749 |
"step": 118
|
750 |
},
|
751 |
{
|
752 |
-
"epoch": 4.
|
753 |
"learning_rate": 0.0002,
|
754 |
-
"loss": 0.
|
755 |
"step": 119
|
756 |
},
|
757 |
{
|
758 |
-
"epoch": 4.
|
759 |
"learning_rate": 0.0002,
|
760 |
-
"loss": 0.
|
761 |
"step": 120
|
762 |
},
|
763 |
{
|
764 |
-
"epoch": 4.
|
765 |
"learning_rate": 0.0002,
|
766 |
-
"loss": 0.
|
767 |
"step": 121
|
768 |
},
|
769 |
{
|
770 |
-
"epoch": 4.
|
771 |
"learning_rate": 0.0002,
|
772 |
-
"loss": 0.
|
773 |
"step": 122
|
774 |
},
|
775 |
{
|
776 |
-
"epoch": 4.
|
777 |
"learning_rate": 0.0002,
|
778 |
-
"loss": 0.
|
779 |
"step": 123
|
780 |
},
|
781 |
{
|
782 |
-
"epoch": 4.
|
783 |
"learning_rate": 0.0002,
|
784 |
-
"loss": 0.
|
785 |
"step": 124
|
786 |
},
|
787 |
{
|
788 |
-
"epoch": 4.
|
789 |
"learning_rate": 0.0002,
|
790 |
-
"loss": 0.
|
791 |
"step": 125
|
792 |
},
|
793 |
{
|
794 |
-
"epoch": 4.
|
795 |
"learning_rate": 0.0002,
|
796 |
-
"loss": 0.
|
797 |
"step": 126
|
798 |
},
|
799 |
{
|
800 |
-
"epoch": 4.
|
801 |
"learning_rate": 0.0002,
|
802 |
-
"loss": 0.
|
803 |
"step": 127
|
804 |
},
|
805 |
{
|
806 |
-
"epoch": 4.
|
807 |
"learning_rate": 0.0002,
|
808 |
-
"loss": 0.
|
809 |
"step": 128
|
810 |
},
|
811 |
{
|
812 |
-
"epoch": 4.
|
813 |
"learning_rate": 0.0002,
|
814 |
-
"loss": 0.
|
815 |
"step": 129
|
816 |
},
|
817 |
{
|
818 |
-
"epoch": 4.
|
819 |
"learning_rate": 0.0002,
|
820 |
-
"loss": 0.
|
821 |
"step": 130
|
822 |
},
|
823 |
{
|
824 |
-
"epoch": 4.
|
825 |
"learning_rate": 0.0002,
|
826 |
-
"loss": 0.
|
827 |
"step": 131
|
828 |
},
|
829 |
{
|
830 |
-
"epoch": 4.
|
831 |
"learning_rate": 0.0002,
|
832 |
-
"loss": 0.
|
833 |
"step": 132
|
834 |
},
|
835 |
{
|
836 |
-
"epoch": 4.
|
837 |
"learning_rate": 0.0002,
|
838 |
-
"loss": 0.
|
839 |
"step": 133
|
840 |
},
|
841 |
{
|
842 |
-
"epoch": 4.
|
843 |
"learning_rate": 0.0002,
|
844 |
"loss": 0.0041,
|
845 |
"step": 134
|
846 |
},
|
847 |
{
|
848 |
-
"epoch":
|
849 |
"learning_rate": 0.0002,
|
850 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
851 |
"step": 135
|
852 |
},
|
853 |
{
|
854 |
-
"epoch":
|
855 |
"learning_rate": 0.0002,
|
856 |
-
"loss": 0.
|
857 |
"step": 136
|
858 |
},
|
859 |
{
|
860 |
-
"epoch":
|
861 |
"learning_rate": 0.0002,
|
862 |
-
"loss": 0.
|
863 |
"step": 137
|
864 |
},
|
865 |
{
|
866 |
-
"epoch":
|
867 |
"learning_rate": 0.0002,
|
868 |
-
"loss": 0.
|
869 |
"step": 138
|
870 |
},
|
871 |
{
|
872 |
-
"epoch":
|
873 |
"learning_rate": 0.0002,
|
874 |
-
"loss": 0.
|
875 |
"step": 139
|
876 |
},
|
877 |
{
|
878 |
-
"epoch": 5.
|
879 |
"learning_rate": 0.0002,
|
880 |
-
"loss": 0.
|
881 |
-
"step": 140
|
882 |
-
},
|
883 |
-
{
|
884 |
-
"epoch": 5.0,
|
885 |
-
"eval_loss": 0.006931006908416748,
|
886 |
-
"eval_runtime": 55.2933,
|
887 |
-
"eval_samples_per_second": 15.68,
|
888 |
-
"eval_steps_per_second": 0.506,
|
889 |
"step": 140
|
890 |
},
|
891 |
{
|
892 |
-
"epoch": 5.
|
893 |
"learning_rate": 0.0002,
|
894 |
-
"loss": 0.
|
895 |
"step": 141
|
896 |
},
|
897 |
{
|
898 |
-
"epoch": 5.
|
899 |
"learning_rate": 0.0002,
|
900 |
-
"loss": 0.
|
901 |
"step": 142
|
902 |
},
|
903 |
{
|
904 |
-
"epoch": 5.
|
905 |
"learning_rate": 0.0002,
|
906 |
-
"loss": 0.
|
907 |
"step": 143
|
908 |
},
|
909 |
{
|
910 |
-
"epoch": 5.
|
911 |
"learning_rate": 0.0002,
|
912 |
-
"loss": 0.
|
913 |
"step": 144
|
914 |
},
|
915 |
{
|
916 |
-
"epoch": 5.
|
917 |
"learning_rate": 0.0002,
|
918 |
-
"loss": 0.
|
919 |
"step": 145
|
920 |
},
|
921 |
{
|
922 |
-
"epoch": 5.
|
923 |
"learning_rate": 0.0002,
|
924 |
-
"loss": 0.
|
925 |
"step": 146
|
926 |
},
|
927 |
{
|
928 |
-
"epoch": 5.
|
929 |
"learning_rate": 0.0002,
|
930 |
-
"loss": 0.
|
931 |
"step": 147
|
932 |
},
|
933 |
{
|
934 |
-
"epoch": 5.
|
935 |
"learning_rate": 0.0002,
|
936 |
-
"loss": 0.
|
937 |
"step": 148
|
938 |
},
|
939 |
{
|
940 |
-
"epoch": 5.
|
941 |
"learning_rate": 0.0002,
|
942 |
-
"loss": 0.
|
943 |
"step": 149
|
944 |
},
|
945 |
{
|
946 |
-
"epoch": 5.
|
947 |
"learning_rate": 0.0002,
|
948 |
-
"loss": 0.
|
949 |
"step": 150
|
950 |
},
|
951 |
{
|
952 |
-
"epoch": 5.
|
953 |
"learning_rate": 0.0002,
|
954 |
-
"loss": 0.
|
955 |
"step": 151
|
956 |
},
|
957 |
{
|
958 |
-
"epoch": 5.
|
959 |
"learning_rate": 0.0002,
|
960 |
-
"loss": 0.
|
961 |
"step": 152
|
962 |
},
|
963 |
{
|
964 |
-
"epoch": 5.
|
965 |
"learning_rate": 0.0002,
|
966 |
-
"loss": 0.
|
967 |
"step": 153
|
968 |
},
|
969 |
{
|
970 |
-
"epoch": 5.
|
971 |
"learning_rate": 0.0002,
|
972 |
-
"loss": 0.
|
973 |
"step": 154
|
974 |
},
|
975 |
{
|
976 |
-
"epoch": 5.
|
977 |
"learning_rate": 0.0002,
|
978 |
-
"loss": 0.
|
979 |
"step": 155
|
980 |
},
|
981 |
{
|
982 |
-
"epoch": 5.
|
983 |
"learning_rate": 0.0002,
|
984 |
-
"loss": 0.
|
985 |
"step": 156
|
986 |
},
|
987 |
{
|
988 |
-
"epoch": 5.
|
989 |
"learning_rate": 0.0002,
|
990 |
-
"loss": 0.
|
991 |
"step": 157
|
992 |
},
|
993 |
{
|
994 |
-
"epoch": 5.
|
995 |
"learning_rate": 0.0002,
|
996 |
-
"loss": 0.
|
997 |
"step": 158
|
998 |
},
|
999 |
{
|
1000 |
-
"epoch": 5.
|
1001 |
"learning_rate": 0.0002,
|
1002 |
-
"loss": 0.
|
1003 |
"step": 159
|
1004 |
},
|
1005 |
{
|
1006 |
-
"epoch": 5.
|
1007 |
"learning_rate": 0.0002,
|
1008 |
-
"loss": 0.
|
1009 |
"step": 160
|
1010 |
},
|
1011 |
{
|
1012 |
-
"epoch": 5.
|
1013 |
"learning_rate": 0.0002,
|
1014 |
"loss": 0.0033,
|
1015 |
"step": 161
|
1016 |
},
|
1017 |
{
|
1018 |
-
"epoch":
|
1019 |
"learning_rate": 0.0002,
|
1020 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1021 |
"step": 162
|
1022 |
},
|
1023 |
{
|
1024 |
-
"epoch":
|
1025 |
"learning_rate": 0.0002,
|
1026 |
-
"loss": 0.
|
1027 |
"step": 163
|
1028 |
},
|
1029 |
{
|
1030 |
-
"epoch":
|
1031 |
"learning_rate": 0.0002,
|
1032 |
-
"loss": 0.
|
1033 |
"step": 164
|
1034 |
},
|
1035 |
{
|
1036 |
-
"epoch":
|
1037 |
"learning_rate": 0.0002,
|
1038 |
-
"loss": 0.
|
1039 |
"step": 165
|
1040 |
},
|
1041 |
{
|
1042 |
-
"epoch":
|
1043 |
"learning_rate": 0.0002,
|
1044 |
-
"loss": 0.
|
1045 |
"step": 166
|
1046 |
},
|
1047 |
{
|
1048 |
-
"epoch":
|
1049 |
"learning_rate": 0.0002,
|
1050 |
-
"loss": 0.
|
1051 |
"step": 167
|
1052 |
},
|
1053 |
{
|
1054 |
-
"epoch": 6.
|
1055 |
"learning_rate": 0.0002,
|
1056 |
-
"loss": 0.
|
1057 |
-
"step": 168
|
1058 |
-
},
|
1059 |
-
{
|
1060 |
-
"epoch": 6.0,
|
1061 |
-
"eval_loss": 0.005192028358578682,
|
1062 |
-
"eval_runtime": 55.2474,
|
1063 |
-
"eval_samples_per_second": 15.693,
|
1064 |
-
"eval_steps_per_second": 0.507,
|
1065 |
"step": 168
|
1066 |
},
|
1067 |
{
|
1068 |
-
"epoch": 6.
|
1069 |
"learning_rate": 0.0002,
|
1070 |
"loss": 0.0025,
|
1071 |
"step": 169
|
1072 |
},
|
1073 |
{
|
1074 |
-
"epoch": 6.
|
1075 |
"learning_rate": 0.0002,
|
1076 |
-
"loss": 0.
|
1077 |
"step": 170
|
1078 |
},
|
1079 |
{
|
1080 |
-
"epoch": 6.
|
1081 |
"learning_rate": 0.0002,
|
1082 |
-
"loss": 0.
|
1083 |
"step": 171
|
1084 |
},
|
1085 |
{
|
1086 |
-
"epoch": 6.
|
1087 |
"learning_rate": 0.0002,
|
1088 |
-
"loss": 0.
|
1089 |
"step": 172
|
1090 |
},
|
1091 |
{
|
1092 |
-
"epoch": 6.
|
1093 |
"learning_rate": 0.0002,
|
1094 |
-
"loss": 0.
|
1095 |
"step": 173
|
1096 |
},
|
1097 |
{
|
1098 |
-
"epoch": 6.
|
1099 |
"learning_rate": 0.0002,
|
1100 |
-
"loss": 0.
|
1101 |
"step": 174
|
1102 |
},
|
1103 |
{
|
1104 |
-
"epoch": 6.
|
1105 |
"learning_rate": 0.0002,
|
1106 |
-
"loss": 0.
|
1107 |
"step": 175
|
1108 |
},
|
1109 |
{
|
1110 |
-
"epoch": 6.
|
1111 |
"learning_rate": 0.0002,
|
1112 |
-
"loss": 0.
|
1113 |
"step": 176
|
1114 |
},
|
1115 |
{
|
1116 |
-
"epoch": 6.
|
1117 |
"learning_rate": 0.0002,
|
1118 |
-
"loss": 0.
|
1119 |
"step": 177
|
1120 |
},
|
1121 |
{
|
1122 |
-
"epoch": 6.
|
1123 |
"learning_rate": 0.0002,
|
1124 |
-
"loss": 0.
|
1125 |
"step": 178
|
1126 |
},
|
1127 |
{
|
1128 |
-
"epoch": 6.
|
1129 |
"learning_rate": 0.0002,
|
1130 |
-
"loss": 0.
|
1131 |
"step": 179
|
1132 |
},
|
1133 |
{
|
1134 |
-
"epoch": 6.
|
1135 |
"learning_rate": 0.0002,
|
1136 |
-
"loss": 0.
|
1137 |
"step": 180
|
1138 |
},
|
1139 |
{
|
1140 |
-
"epoch": 6.
|
1141 |
"learning_rate": 0.0002,
|
1142 |
-
"loss": 0.
|
1143 |
"step": 181
|
1144 |
},
|
1145 |
{
|
1146 |
-
"epoch": 6.
|
1147 |
"learning_rate": 0.0002,
|
1148 |
-
"loss": 0.
|
1149 |
"step": 182
|
1150 |
},
|
1151 |
{
|
1152 |
-
"epoch": 6.
|
1153 |
"learning_rate": 0.0002,
|
1154 |
-
"loss": 0.
|
1155 |
"step": 183
|
1156 |
},
|
1157 |
{
|
1158 |
-
"epoch": 6.
|
1159 |
"learning_rate": 0.0002,
|
1160 |
-
"loss": 0.
|
1161 |
"step": 184
|
1162 |
},
|
1163 |
{
|
1164 |
-
"epoch": 6.
|
1165 |
"learning_rate": 0.0002,
|
1166 |
-
"loss": 0.
|
1167 |
"step": 185
|
1168 |
},
|
1169 |
{
|
1170 |
-
"epoch": 6.
|
1171 |
"learning_rate": 0.0002,
|
1172 |
-
"loss": 0.
|
1173 |
"step": 186
|
1174 |
},
|
1175 |
{
|
1176 |
-
"epoch": 6.
|
1177 |
"learning_rate": 0.0002,
|
1178 |
-
"loss": 0.
|
1179 |
"step": 187
|
1180 |
},
|
1181 |
{
|
1182 |
-
"epoch": 6.
|
1183 |
"learning_rate": 0.0002,
|
1184 |
-
"loss": 0.
|
1185 |
"step": 188
|
1186 |
},
|
1187 |
{
|
1188 |
-
"epoch":
|
1189 |
"learning_rate": 0.0002,
|
1190 |
-
"loss": 0.
|
1191 |
"step": 189
|
1192 |
},
|
1193 |
{
|
1194 |
-
"epoch":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1195 |
"learning_rate": 0.0002,
|
1196 |
-
"loss": 0.
|
1197 |
"step": 190
|
1198 |
},
|
1199 |
{
|
1200 |
-
"epoch":
|
1201 |
"learning_rate": 0.0002,
|
1202 |
-
"loss": 0.
|
1203 |
"step": 191
|
1204 |
},
|
1205 |
{
|
1206 |
-
"epoch":
|
1207 |
"learning_rate": 0.0002,
|
1208 |
-
"loss": 0.
|
1209 |
"step": 192
|
1210 |
},
|
1211 |
{
|
1212 |
-
"epoch":
|
1213 |
"learning_rate": 0.0002,
|
1214 |
-
"loss": 0.
|
1215 |
"step": 193
|
1216 |
},
|
1217 |
{
|
1218 |
-
"epoch":
|
1219 |
"learning_rate": 0.0002,
|
1220 |
-
"loss": 0.
|
1221 |
"step": 194
|
1222 |
},
|
1223 |
{
|
1224 |
-
"epoch":
|
1225 |
"learning_rate": 0.0002,
|
1226 |
-
"loss": 0.
|
1227 |
"step": 195
|
1228 |
},
|
1229 |
{
|
1230 |
-
"epoch": 7.
|
1231 |
"learning_rate": 0.0002,
|
1232 |
-
"loss": 0.
|
1233 |
-
"step": 196
|
1234 |
-
},
|
1235 |
-
{
|
1236 |
-
"epoch": 7.0,
|
1237 |
-
"eval_loss": 0.0039033088833093643,
|
1238 |
-
"eval_runtime": 55.2409,
|
1239 |
-
"eval_samples_per_second": 15.695,
|
1240 |
-
"eval_steps_per_second": 0.507,
|
1241 |
"step": 196
|
1242 |
},
|
1243 |
{
|
1244 |
-
"epoch": 7.
|
1245 |
"learning_rate": 0.0002,
|
1246 |
-
"loss": 0.
|
1247 |
"step": 197
|
1248 |
},
|
1249 |
{
|
1250 |
-
"epoch": 7.
|
1251 |
"learning_rate": 0.0002,
|
1252 |
-
"loss": 0.
|
1253 |
"step": 198
|
1254 |
},
|
1255 |
{
|
1256 |
-
"epoch": 7.
|
1257 |
"learning_rate": 0.0002,
|
1258 |
-
"loss": 0.
|
1259 |
"step": 199
|
1260 |
},
|
1261 |
{
|
1262 |
-
"epoch": 7.
|
1263 |
"learning_rate": 0.0002,
|
1264 |
-
"loss": 0.
|
1265 |
"step": 200
|
1266 |
},
|
1267 |
{
|
1268 |
-
"epoch": 7.
|
1269 |
"learning_rate": 0.0002,
|
1270 |
-
"loss": 0.
|
1271 |
"step": 201
|
1272 |
},
|
1273 |
{
|
1274 |
-
"epoch": 7.
|
1275 |
"learning_rate": 0.0002,
|
1276 |
-
"loss": 0.
|
1277 |
"step": 202
|
1278 |
},
|
1279 |
{
|
1280 |
-
"epoch": 7.
|
1281 |
"learning_rate": 0.0002,
|
1282 |
-
"loss": 0.
|
1283 |
"step": 203
|
1284 |
},
|
1285 |
{
|
1286 |
-
"epoch": 7.
|
1287 |
"learning_rate": 0.0002,
|
1288 |
-
"loss": 0.
|
1289 |
"step": 204
|
1290 |
},
|
1291 |
{
|
1292 |
-
"epoch": 7.
|
1293 |
"learning_rate": 0.0002,
|
1294 |
-
"loss": 0.
|
1295 |
"step": 205
|
1296 |
},
|
1297 |
{
|
1298 |
-
"epoch": 7.
|
1299 |
"learning_rate": 0.0002,
|
1300 |
-
"loss": 0.
|
1301 |
"step": 206
|
1302 |
},
|
1303 |
{
|
1304 |
-
"epoch": 7.
|
1305 |
"learning_rate": 0.0002,
|
1306 |
-
"loss": 0.
|
1307 |
"step": 207
|
1308 |
},
|
1309 |
{
|
1310 |
-
"epoch": 7.
|
1311 |
"learning_rate": 0.0002,
|
1312 |
-
"loss": 0.
|
1313 |
"step": 208
|
1314 |
},
|
1315 |
{
|
1316 |
-
"epoch": 7.
|
1317 |
"learning_rate": 0.0002,
|
1318 |
-
"loss": 0.
|
1319 |
"step": 209
|
1320 |
},
|
1321 |
{
|
1322 |
-
"epoch": 7.
|
1323 |
"learning_rate": 0.0002,
|
1324 |
-
"loss": 0.
|
1325 |
"step": 210
|
1326 |
},
|
1327 |
{
|
1328 |
-
"epoch": 7.
|
1329 |
"learning_rate": 0.0002,
|
1330 |
-
"loss": 0.
|
1331 |
"step": 211
|
1332 |
},
|
1333 |
{
|
1334 |
-
"epoch": 7.
|
1335 |
"learning_rate": 0.0002,
|
1336 |
-
"loss": 0.
|
1337 |
"step": 212
|
1338 |
},
|
1339 |
{
|
1340 |
-
"epoch": 7.
|
1341 |
"learning_rate": 0.0002,
|
1342 |
-
"loss": 0.
|
1343 |
"step": 213
|
1344 |
},
|
1345 |
{
|
1346 |
-
"epoch": 7.
|
1347 |
"learning_rate": 0.0002,
|
1348 |
-
"loss": 0.
|
1349 |
"step": 214
|
1350 |
},
|
1351 |
{
|
1352 |
-
"epoch": 7.
|
1353 |
"learning_rate": 0.0002,
|
1354 |
-
"loss": 0.
|
1355 |
"step": 215
|
1356 |
},
|
1357 |
{
|
1358 |
-
"epoch":
|
1359 |
"learning_rate": 0.0002,
|
1360 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1361 |
"step": 216
|
1362 |
},
|
1363 |
{
|
1364 |
-
"epoch":
|
1365 |
"learning_rate": 0.0002,
|
1366 |
-
"loss": 0.
|
1367 |
"step": 217
|
1368 |
},
|
1369 |
{
|
1370 |
-
"epoch":
|
1371 |
"learning_rate": 0.0002,
|
1372 |
-
"loss": 0.
|
1373 |
"step": 218
|
1374 |
},
|
1375 |
{
|
1376 |
-
"epoch":
|
1377 |
"learning_rate": 0.0002,
|
1378 |
-
"loss": 0.
|
1379 |
"step": 219
|
1380 |
},
|
1381 |
{
|
1382 |
-
"epoch":
|
1383 |
"learning_rate": 0.0002,
|
1384 |
-
"loss": 0.
|
1385 |
"step": 220
|
1386 |
},
|
1387 |
{
|
1388 |
-
"epoch":
|
1389 |
"learning_rate": 0.0002,
|
1390 |
-
"loss": 0.
|
1391 |
"step": 221
|
1392 |
},
|
1393 |
{
|
1394 |
-
"epoch":
|
1395 |
"learning_rate": 0.0002,
|
1396 |
-
"loss": 0.
|
1397 |
"step": 222
|
1398 |
},
|
1399 |
{
|
1400 |
-
"epoch":
|
1401 |
"learning_rate": 0.0002,
|
1402 |
-
"loss": 0.
|
1403 |
"step": 223
|
1404 |
},
|
1405 |
{
|
1406 |
-
"epoch": 8.
|
1407 |
"learning_rate": 0.0002,
|
1408 |
-
"loss": 0.
|
1409 |
-
"step": 224
|
1410 |
-
},
|
1411 |
-
{
|
1412 |
-
"epoch": 8.0,
|
1413 |
-
"eval_loss": 0.005082768388092518,
|
1414 |
-
"eval_runtime": 55.2726,
|
1415 |
-
"eval_samples_per_second": 15.686,
|
1416 |
-
"eval_steps_per_second": 0.507,
|
1417 |
"step": 224
|
1418 |
},
|
1419 |
{
|
1420 |
-
"epoch": 8.
|
1421 |
"learning_rate": 0.0002,
|
1422 |
-
"loss": 0.
|
1423 |
"step": 225
|
1424 |
},
|
1425 |
{
|
1426 |
-
"epoch": 8.
|
1427 |
"learning_rate": 0.0002,
|
1428 |
-
"loss": 0.
|
1429 |
"step": 226
|
1430 |
},
|
1431 |
{
|
1432 |
-
"epoch": 8.
|
1433 |
"learning_rate": 0.0002,
|
1434 |
-
"loss": 0.
|
1435 |
"step": 227
|
1436 |
},
|
1437 |
{
|
1438 |
-
"epoch": 8.
|
1439 |
"learning_rate": 0.0002,
|
1440 |
-
"loss": 0.
|
1441 |
"step": 228
|
1442 |
},
|
1443 |
{
|
1444 |
-
"epoch": 8.
|
1445 |
"learning_rate": 0.0002,
|
1446 |
-
"loss": 0.
|
1447 |
"step": 229
|
1448 |
},
|
1449 |
{
|
1450 |
-
"epoch": 8.
|
1451 |
"learning_rate": 0.0002,
|
1452 |
-
"loss": 0.
|
1453 |
"step": 230
|
1454 |
},
|
1455 |
{
|
1456 |
-
"epoch": 8.
|
1457 |
"learning_rate": 0.0002,
|
1458 |
-
"loss": 0.
|
1459 |
"step": 231
|
1460 |
},
|
1461 |
{
|
1462 |
-
"epoch": 8.
|
1463 |
"learning_rate": 0.0002,
|
1464 |
-
"loss": 0.
|
1465 |
"step": 232
|
1466 |
},
|
1467 |
{
|
1468 |
-
"epoch": 8.
|
1469 |
"learning_rate": 0.0002,
|
1470 |
-
"loss": 0.
|
1471 |
"step": 233
|
1472 |
},
|
1473 |
{
|
1474 |
-
"epoch": 8.
|
1475 |
"learning_rate": 0.0002,
|
1476 |
-
"loss": 0.
|
1477 |
"step": 234
|
1478 |
},
|
1479 |
{
|
1480 |
-
"epoch": 8.
|
1481 |
"learning_rate": 0.0002,
|
1482 |
-
"loss": 0.
|
1483 |
"step": 235
|
1484 |
},
|
1485 |
{
|
1486 |
-
"epoch": 8.
|
1487 |
"learning_rate": 0.0002,
|
1488 |
-
"loss": 0.
|
1489 |
"step": 236
|
1490 |
},
|
1491 |
{
|
1492 |
-
"epoch": 8.
|
1493 |
"learning_rate": 0.0002,
|
1494 |
-
"loss": 0.
|
1495 |
"step": 237
|
1496 |
},
|
1497 |
{
|
1498 |
-
"epoch": 8.
|
1499 |
"learning_rate": 0.0002,
|
1500 |
-
"loss": 0.
|
1501 |
"step": 238
|
1502 |
},
|
1503 |
{
|
1504 |
-
"epoch": 8.
|
1505 |
"learning_rate": 0.0002,
|
1506 |
-
"loss": 0.
|
1507 |
"step": 239
|
1508 |
},
|
1509 |
{
|
1510 |
-
"epoch": 8.
|
1511 |
"learning_rate": 0.0002,
|
1512 |
-
"loss": 0.
|
1513 |
"step": 240
|
1514 |
},
|
1515 |
{
|
1516 |
-
"epoch": 8.
|
1517 |
"learning_rate": 0.0002,
|
1518 |
-
"loss": 0.
|
1519 |
"step": 241
|
1520 |
},
|
1521 |
{
|
1522 |
-
"epoch": 8.
|
1523 |
"learning_rate": 0.0002,
|
1524 |
-
"loss": 0.
|
1525 |
"step": 242
|
1526 |
},
|
1527 |
{
|
1528 |
-
"epoch":
|
1529 |
"learning_rate": 0.0002,
|
1530 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1531 |
"step": 243
|
1532 |
},
|
1533 |
{
|
1534 |
-
"epoch":
|
1535 |
"learning_rate": 0.0002,
|
1536 |
-
"loss": 0.
|
1537 |
"step": 244
|
1538 |
},
|
1539 |
{
|
1540 |
-
"epoch":
|
1541 |
"learning_rate": 0.0002,
|
1542 |
-
"loss": 0.
|
1543 |
"step": 245
|
1544 |
},
|
1545 |
{
|
1546 |
-
"epoch":
|
1547 |
"learning_rate": 0.0002,
|
1548 |
-
"loss": 0.
|
1549 |
"step": 246
|
1550 |
},
|
1551 |
{
|
1552 |
-
"epoch":
|
1553 |
"learning_rate": 0.0002,
|
1554 |
-
"loss": 0.
|
1555 |
"step": 247
|
1556 |
},
|
1557 |
{
|
1558 |
-
"epoch":
|
1559 |
"learning_rate": 0.0002,
|
1560 |
-
"loss": 0.
|
1561 |
"step": 248
|
1562 |
},
|
1563 |
{
|
1564 |
-
"epoch":
|
1565 |
"learning_rate": 0.0002,
|
1566 |
-
"loss": 0.
|
1567 |
"step": 249
|
1568 |
},
|
1569 |
{
|
1570 |
-
"epoch":
|
1571 |
"learning_rate": 0.0002,
|
1572 |
-
"loss": 0.
|
1573 |
"step": 250
|
1574 |
},
|
1575 |
{
|
1576 |
-
"epoch":
|
1577 |
"learning_rate": 0.0002,
|
1578 |
-
"loss": 0.
|
1579 |
"step": 251
|
1580 |
},
|
1581 |
{
|
1582 |
-
"epoch": 9.
|
1583 |
"learning_rate": 0.0002,
|
1584 |
-
"loss": 0.
|
1585 |
-
"step": 252
|
1586 |
-
},
|
1587 |
-
{
|
1588 |
-
"epoch": 9.0,
|
1589 |
-
"eval_loss": 0.004076390527188778,
|
1590 |
-
"eval_runtime": 55.2102,
|
1591 |
-
"eval_samples_per_second": 15.704,
|
1592 |
-
"eval_steps_per_second": 0.507,
|
1593 |
"step": 252
|
1594 |
},
|
1595 |
{
|
1596 |
-
"epoch": 9.
|
1597 |
"learning_rate": 0.0002,
|
1598 |
-
"loss": 0.
|
1599 |
"step": 253
|
1600 |
},
|
1601 |
{
|
1602 |
-
"epoch": 9.
|
1603 |
"learning_rate": 0.0002,
|
1604 |
"loss": 0.0029,
|
1605 |
"step": 254
|
1606 |
},
|
1607 |
{
|
1608 |
-
"epoch": 9.
|
1609 |
"learning_rate": 0.0002,
|
1610 |
-
"loss": 0.
|
1611 |
"step": 255
|
1612 |
},
|
1613 |
{
|
1614 |
-
"epoch": 9.
|
1615 |
"learning_rate": 0.0002,
|
1616 |
-
"loss": 0.
|
1617 |
"step": 256
|
1618 |
},
|
1619 |
{
|
1620 |
-
"epoch": 9.
|
1621 |
"learning_rate": 0.0002,
|
1622 |
-
"loss": 0.
|
1623 |
"step": 257
|
1624 |
},
|
1625 |
{
|
1626 |
-
"epoch": 9.
|
1627 |
"learning_rate": 0.0002,
|
1628 |
-
"loss": 0.
|
1629 |
"step": 258
|
1630 |
},
|
1631 |
{
|
1632 |
-
"epoch": 9.
|
1633 |
"learning_rate": 0.0002,
|
1634 |
-
"loss": 0.
|
1635 |
"step": 259
|
1636 |
},
|
1637 |
{
|
1638 |
-
"epoch": 9.
|
1639 |
"learning_rate": 0.0002,
|
1640 |
-
"loss": 0.
|
1641 |
"step": 260
|
1642 |
},
|
1643 |
{
|
1644 |
-
"epoch": 9.
|
1645 |
"learning_rate": 0.0002,
|
1646 |
-
"loss": 0.
|
1647 |
"step": 261
|
1648 |
},
|
1649 |
{
|
1650 |
-
"epoch": 9.
|
1651 |
"learning_rate": 0.0002,
|
1652 |
-
"loss": 0.
|
1653 |
"step": 262
|
1654 |
},
|
1655 |
{
|
1656 |
-
"epoch": 9.
|
1657 |
"learning_rate": 0.0002,
|
1658 |
-
"loss": 0.
|
1659 |
"step": 263
|
1660 |
},
|
1661 |
{
|
1662 |
-
"epoch": 9.
|
1663 |
"learning_rate": 0.0002,
|
1664 |
-
"loss": 0.
|
1665 |
"step": 264
|
1666 |
},
|
1667 |
{
|
1668 |
-
"epoch": 9.
|
1669 |
"learning_rate": 0.0002,
|
1670 |
-
"loss": 0.
|
1671 |
"step": 265
|
1672 |
},
|
1673 |
{
|
1674 |
-
"epoch": 9.
|
1675 |
"learning_rate": 0.0002,
|
1676 |
-
"loss": 0.
|
1677 |
"step": 266
|
1678 |
},
|
1679 |
{
|
1680 |
-
"epoch": 9.
|
1681 |
"learning_rate": 0.0002,
|
1682 |
-
"loss": 0.
|
1683 |
"step": 267
|
1684 |
},
|
1685 |
{
|
1686 |
-
"epoch": 9.
|
1687 |
"learning_rate": 0.0002,
|
1688 |
-
"loss": 0.
|
1689 |
"step": 268
|
1690 |
},
|
1691 |
{
|
1692 |
-
"epoch": 9.
|
1693 |
"learning_rate": 0.0002,
|
1694 |
-
"loss": 0.
|
1695 |
"step": 269
|
1696 |
},
|
1697 |
{
|
1698 |
-
"epoch":
|
1699 |
"learning_rate": 0.0002,
|
1700 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1701 |
"step": 270
|
1702 |
},
|
1703 |
{
|
1704 |
-
"epoch":
|
1705 |
"learning_rate": 0.0002,
|
1706 |
-
"loss": 0.
|
1707 |
"step": 271
|
1708 |
},
|
1709 |
{
|
1710 |
-
"epoch":
|
1711 |
"learning_rate": 0.0002,
|
1712 |
-
"loss": 0.
|
1713 |
"step": 272
|
1714 |
},
|
1715 |
{
|
1716 |
-
"epoch":
|
1717 |
"learning_rate": 0.0002,
|
1718 |
-
"loss": 0.
|
1719 |
"step": 273
|
1720 |
},
|
1721 |
{
|
1722 |
-
"epoch":
|
1723 |
"learning_rate": 0.0002,
|
1724 |
-
"loss": 0.
|
1725 |
"step": 274
|
1726 |
},
|
1727 |
{
|
1728 |
-
"epoch":
|
1729 |
"learning_rate": 0.0002,
|
1730 |
-
"loss": 0.
|
1731 |
"step": 275
|
1732 |
},
|
1733 |
{
|
1734 |
-
"epoch":
|
1735 |
"learning_rate": 0.0002,
|
1736 |
-
"loss": 0.
|
1737 |
"step": 276
|
1738 |
},
|
1739 |
{
|
1740 |
-
"epoch":
|
1741 |
"learning_rate": 0.0002,
|
1742 |
-
"loss": 0.
|
1743 |
"step": 277
|
1744 |
},
|
1745 |
{
|
1746 |
-
"epoch":
|
1747 |
"learning_rate": 0.0002,
|
1748 |
-
"loss": 0.
|
1749 |
"step": 278
|
1750 |
},
|
1751 |
{
|
1752 |
-
"epoch":
|
1753 |
"learning_rate": 0.0002,
|
1754 |
-
"loss": 0.
|
1755 |
"step": 279
|
1756 |
},
|
1757 |
{
|
1758 |
-
"epoch": 10.
|
1759 |
"learning_rate": 0.0002,
|
1760 |
-
"loss": 0.
|
1761 |
"step": 280
|
1762 |
},
|
1763 |
{
|
1764 |
-
"epoch": 10.
|
1765 |
-
"
|
1766 |
-
"
|
1767 |
-
"
|
1768 |
-
"eval_steps_per_second": 0.507,
|
1769 |
-
"step": 280
|
1770 |
},
|
1771 |
{
|
1772 |
-
"epoch": 10.
|
1773 |
-
"
|
1774 |
-
"
|
1775 |
-
"
|
1776 |
-
|
1777 |
-
|
1778 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1779 |
}
|
1780 |
],
|
1781 |
"logging_steps": 1.0,
|
1782 |
-
"max_steps":
|
1783 |
"num_input_tokens_seen": 0,
|
1784 |
-
"num_train_epochs":
|
1785 |
"save_steps": 50000,
|
1786 |
-
"total_flos": 8.
|
1787 |
"train_batch_size": 4,
|
1788 |
"trial_name": null,
|
1789 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 20.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 540,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
11 |
{
|
12 |
"epoch": 0.04,
|
13 |
"learning_rate": 0.0,
|
14 |
+
"loss": 1.5724,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.07,
|
19 |
+
"learning_rate": 4.8930108423645205e-05,
|
20 |
+
"loss": 1.1144,
|
21 |
"step": 2
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.11,
|
25 |
+
"learning_rate": 7.755238700769803e-05,
|
26 |
+
"loss": 1.0312,
|
27 |
"step": 3
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.15,
|
31 |
+
"learning_rate": 9.786021684729041e-05,
|
32 |
+
"loss": 1.0851,
|
33 |
"step": 4
|
34 |
},
|
35 |
{
|
36 |
+
"epoch": 0.19,
|
37 |
+
"learning_rate": 0.00011361219343474658,
|
38 |
+
"loss": 1.1598,
|
39 |
"step": 5
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.22,
|
43 |
+
"learning_rate": 0.00012648249543134322,
|
44 |
+
"loss": 0.9917,
|
45 |
"step": 6
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.26,
|
49 |
+
"learning_rate": 0.0001373641807199326,
|
50 |
+
"loss": 1.0794,
|
51 |
"step": 7
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.3,
|
55 |
+
"learning_rate": 0.00014679032527093562,
|
56 |
+
"loss": 0.9982,
|
57 |
"step": 8
|
58 |
},
|
59 |
{
|
60 |
+
"epoch": 0.33,
|
61 |
+
"learning_rate": 0.00015510477401539606,
|
62 |
+
"loss": 0.9519,
|
63 |
"step": 9
|
64 |
},
|
65 |
{
|
66 |
+
"epoch": 0.37,
|
67 |
+
"learning_rate": 0.0001625423018583918,
|
68 |
+
"loss": 0.8866,
|
69 |
"step": 10
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.41,
|
73 |
+
"learning_rate": 0.0001692703641841094,
|
74 |
+
"loss": 0.8773,
|
75 |
"step": 11
|
76 |
},
|
77 |
{
|
78 |
+
"epoch": 0.44,
|
79 |
+
"learning_rate": 0.00017541260385498843,
|
80 |
+
"loss": 0.781,
|
81 |
"step": 12
|
82 |
},
|
83 |
{
|
84 |
+
"epoch": 0.48,
|
85 |
+
"learning_rate": 0.00018106291662380673,
|
86 |
+
"loss": 0.8128,
|
87 |
"step": 13
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 0.52,
|
91 |
+
"learning_rate": 0.0001862942891435778,
|
92 |
+
"loss": 0.7416,
|
93 |
"step": 14
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.56,
|
97 |
+
"learning_rate": 0.0001911645804424446,
|
98 |
+
"loss": 0.7028,
|
99 |
"step": 15
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.59,
|
103 |
+
"learning_rate": 0.00019572043369458082,
|
104 |
+
"loss": 0.7131,
|
105 |
"step": 16
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 0.63,
|
109 |
"learning_rate": 0.0002,
|
110 |
+
"loss": 0.5263,
|
111 |
"step": 17
|
112 |
},
|
113 |
{
|
114 |
+
"epoch": 0.67,
|
115 |
"learning_rate": 0.0002,
|
116 |
+
"loss": 0.5244,
|
117 |
"step": 18
|
118 |
},
|
119 |
{
|
120 |
+
"epoch": 0.7,
|
121 |
"learning_rate": 0.0002,
|
122 |
+
"loss": 0.6072,
|
123 |
"step": 19
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 0.74,
|
127 |
"learning_rate": 0.0002,
|
128 |
+
"loss": 0.4955,
|
129 |
"step": 20
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.78,
|
133 |
"learning_rate": 0.0002,
|
134 |
+
"loss": 0.3609,
|
135 |
"step": 21
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.81,
|
139 |
"learning_rate": 0.0002,
|
140 |
+
"loss": 0.5321,
|
141 |
"step": 22
|
142 |
},
|
143 |
{
|
144 |
+
"epoch": 0.85,
|
145 |
"learning_rate": 0.0002,
|
146 |
+
"loss": 0.393,
|
147 |
"step": 23
|
148 |
},
|
149 |
{
|
150 |
+
"epoch": 0.89,
|
151 |
"learning_rate": 0.0002,
|
152 |
+
"loss": 0.2866,
|
153 |
"step": 24
|
154 |
},
|
155 |
{
|
156 |
+
"epoch": 0.93,
|
157 |
"learning_rate": 0.0002,
|
158 |
+
"loss": 0.3988,
|
159 |
"step": 25
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.96,
|
163 |
"learning_rate": 0.0002,
|
164 |
+
"loss": 0.2444,
|
165 |
"step": 26
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 1.0,
|
169 |
"learning_rate": 0.0002,
|
170 |
+
"loss": 0.272,
|
171 |
"step": 27
|
172 |
},
|
173 |
{
|
174 |
"epoch": 1.0,
|
175 |
+
"eval_loss": 0.18334639072418213,
|
176 |
+
"eval_runtime": 50.9835,
|
177 |
+
"eval_samples_per_second": 8.336,
|
178 |
+
"eval_steps_per_second": 0.53,
|
179 |
+
"step": 27
|
180 |
},
|
181 |
{
|
182 |
+
"epoch": 1.04,
|
183 |
+
"learning_rate": 0.0002,
|
184 |
+
"loss": 0.1036,
|
|
|
|
|
185 |
"step": 28
|
186 |
},
|
187 |
{
|
188 |
+
"epoch": 1.07,
|
189 |
"learning_rate": 0.0002,
|
190 |
+
"loss": 0.09,
|
191 |
"step": 29
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 1.11,
|
195 |
"learning_rate": 0.0002,
|
196 |
+
"loss": 0.1593,
|
197 |
"step": 30
|
198 |
},
|
199 |
{
|
200 |
+
"epoch": 1.15,
|
201 |
"learning_rate": 0.0002,
|
202 |
+
"loss": 0.1915,
|
203 |
"step": 31
|
204 |
},
|
205 |
{
|
206 |
+
"epoch": 1.19,
|
207 |
"learning_rate": 0.0002,
|
208 |
+
"loss": 0.1553,
|
209 |
"step": 32
|
210 |
},
|
211 |
{
|
212 |
+
"epoch": 1.22,
|
213 |
"learning_rate": 0.0002,
|
214 |
+
"loss": 0.1199,
|
215 |
"step": 33
|
216 |
},
|
217 |
{
|
218 |
+
"epoch": 1.26,
|
219 |
"learning_rate": 0.0002,
|
220 |
+
"loss": 0.1563,
|
221 |
"step": 34
|
222 |
},
|
223 |
{
|
224 |
+
"epoch": 1.3,
|
225 |
"learning_rate": 0.0002,
|
226 |
+
"loss": 0.153,
|
227 |
"step": 35
|
228 |
},
|
229 |
{
|
230 |
+
"epoch": 1.33,
|
231 |
"learning_rate": 0.0002,
|
232 |
+
"loss": 0.0915,
|
233 |
"step": 36
|
234 |
},
|
235 |
{
|
236 |
+
"epoch": 1.37,
|
237 |
"learning_rate": 0.0002,
|
238 |
+
"loss": 0.0956,
|
239 |
"step": 37
|
240 |
},
|
241 |
{
|
242 |
+
"epoch": 1.41,
|
243 |
"learning_rate": 0.0002,
|
244 |
+
"loss": 0.1014,
|
245 |
"step": 38
|
246 |
},
|
247 |
{
|
248 |
+
"epoch": 1.44,
|
249 |
"learning_rate": 0.0002,
|
250 |
+
"loss": 0.1418,
|
251 |
"step": 39
|
252 |
},
|
253 |
{
|
254 |
+
"epoch": 1.48,
|
255 |
"learning_rate": 0.0002,
|
256 |
+
"loss": 0.1943,
|
257 |
"step": 40
|
258 |
},
|
259 |
{
|
260 |
+
"epoch": 1.52,
|
261 |
"learning_rate": 0.0002,
|
262 |
+
"loss": 0.1221,
|
263 |
"step": 41
|
264 |
},
|
265 |
{
|
266 |
+
"epoch": 1.56,
|
267 |
"learning_rate": 0.0002,
|
268 |
+
"loss": 0.0671,
|
269 |
"step": 42
|
270 |
},
|
271 |
{
|
272 |
+
"epoch": 1.59,
|
273 |
"learning_rate": 0.0002,
|
274 |
+
"loss": 0.1404,
|
275 |
"step": 43
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 1.63,
|
279 |
"learning_rate": 0.0002,
|
280 |
+
"loss": 0.0352,
|
281 |
"step": 44
|
282 |
},
|
283 |
{
|
284 |
+
"epoch": 1.67,
|
285 |
"learning_rate": 0.0002,
|
286 |
+
"loss": 0.1286,
|
287 |
"step": 45
|
288 |
},
|
289 |
{
|
290 |
+
"epoch": 1.7,
|
291 |
"learning_rate": 0.0002,
|
292 |
+
"loss": 0.0518,
|
293 |
"step": 46
|
294 |
},
|
295 |
{
|
296 |
+
"epoch": 1.74,
|
297 |
"learning_rate": 0.0002,
|
298 |
+
"loss": 0.0358,
|
299 |
"step": 47
|
300 |
},
|
301 |
{
|
302 |
+
"epoch": 1.78,
|
303 |
"learning_rate": 0.0002,
|
304 |
+
"loss": 0.1154,
|
305 |
"step": 48
|
306 |
},
|
307 |
{
|
308 |
+
"epoch": 1.81,
|
309 |
"learning_rate": 0.0002,
|
310 |
+
"loss": 0.0385,
|
311 |
"step": 49
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 1.85,
|
315 |
"learning_rate": 0.0002,
|
316 |
+
"loss": 0.0426,
|
317 |
"step": 50
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 1.89,
|
321 |
"learning_rate": 0.0002,
|
322 |
+
"loss": 0.0531,
|
323 |
"step": 51
|
324 |
},
|
325 |
{
|
326 |
+
"epoch": 1.93,
|
327 |
"learning_rate": 0.0002,
|
328 |
+
"loss": 0.1019,
|
329 |
"step": 52
|
330 |
},
|
331 |
{
|
332 |
+
"epoch": 1.96,
|
333 |
"learning_rate": 0.0002,
|
334 |
+
"loss": 0.0809,
|
335 |
"step": 53
|
336 |
},
|
337 |
{
|
338 |
+
"epoch": 2.0,
|
339 |
"learning_rate": 0.0002,
|
340 |
+
"loss": 0.0698,
|
341 |
"step": 54
|
342 |
},
|
343 |
{
|
344 |
+
"epoch": 2.0,
|
345 |
+
"eval_loss": 0.04014526307582855,
|
346 |
+
"eval_runtime": 46.9982,
|
347 |
+
"eval_samples_per_second": 9.043,
|
348 |
+
"eval_steps_per_second": 0.574,
|
349 |
+
"step": 54
|
350 |
},
|
351 |
{
|
352 |
+
"epoch": 2.04,
|
353 |
"learning_rate": 0.0002,
|
354 |
+
"loss": 0.0236,
|
355 |
+
"step": 55
|
356 |
},
|
357 |
{
|
358 |
+
"epoch": 2.07,
|
359 |
+
"learning_rate": 0.0002,
|
360 |
+
"loss": 0.0388,
|
|
|
|
|
361 |
"step": 56
|
362 |
},
|
363 |
{
|
364 |
+
"epoch": 2.11,
|
365 |
"learning_rate": 0.0002,
|
366 |
+
"loss": 0.0315,
|
367 |
"step": 57
|
368 |
},
|
369 |
{
|
370 |
+
"epoch": 2.15,
|
371 |
"learning_rate": 0.0002,
|
372 |
+
"loss": 0.0219,
|
373 |
"step": 58
|
374 |
},
|
375 |
{
|
376 |
+
"epoch": 2.19,
|
377 |
"learning_rate": 0.0002,
|
378 |
+
"loss": 0.0298,
|
379 |
"step": 59
|
380 |
},
|
381 |
{
|
382 |
+
"epoch": 2.22,
|
383 |
"learning_rate": 0.0002,
|
384 |
+
"loss": 0.0175,
|
385 |
"step": 60
|
386 |
},
|
387 |
{
|
388 |
+
"epoch": 2.26,
|
389 |
"learning_rate": 0.0002,
|
390 |
+
"loss": 0.0291,
|
391 |
"step": 61
|
392 |
},
|
393 |
{
|
394 |
+
"epoch": 2.3,
|
395 |
"learning_rate": 0.0002,
|
396 |
+
"loss": 0.0236,
|
397 |
"step": 62
|
398 |
},
|
399 |
{
|
400 |
+
"epoch": 2.33,
|
401 |
"learning_rate": 0.0002,
|
402 |
+
"loss": 0.0229,
|
403 |
"step": 63
|
404 |
},
|
405 |
{
|
406 |
+
"epoch": 2.37,
|
407 |
"learning_rate": 0.0002,
|
408 |
+
"loss": 0.0309,
|
409 |
"step": 64
|
410 |
},
|
411 |
{
|
412 |
+
"epoch": 2.41,
|
413 |
"learning_rate": 0.0002,
|
414 |
+
"loss": 0.0069,
|
415 |
"step": 65
|
416 |
},
|
417 |
{
|
418 |
+
"epoch": 2.44,
|
419 |
"learning_rate": 0.0002,
|
420 |
+
"loss": 0.0117,
|
421 |
"step": 66
|
422 |
},
|
423 |
{
|
424 |
+
"epoch": 2.48,
|
425 |
"learning_rate": 0.0002,
|
426 |
+
"loss": 0.0182,
|
427 |
"step": 67
|
428 |
},
|
429 |
{
|
430 |
+
"epoch": 2.52,
|
431 |
"learning_rate": 0.0002,
|
432 |
+
"loss": 0.0252,
|
433 |
"step": 68
|
434 |
},
|
435 |
{
|
436 |
+
"epoch": 2.56,
|
437 |
"learning_rate": 0.0002,
|
438 |
+
"loss": 0.038,
|
439 |
"step": 69
|
440 |
},
|
441 |
{
|
442 |
+
"epoch": 2.59,
|
443 |
"learning_rate": 0.0002,
|
444 |
+
"loss": 0.0257,
|
445 |
"step": 70
|
446 |
},
|
447 |
{
|
448 |
+
"epoch": 2.63,
|
449 |
"learning_rate": 0.0002,
|
450 |
+
"loss": 0.0125,
|
451 |
"step": 71
|
452 |
},
|
453 |
{
|
454 |
+
"epoch": 2.67,
|
455 |
"learning_rate": 0.0002,
|
456 |
+
"loss": 0.035,
|
457 |
"step": 72
|
458 |
},
|
459 |
{
|
460 |
+
"epoch": 2.7,
|
461 |
"learning_rate": 0.0002,
|
462 |
+
"loss": 0.0148,
|
463 |
"step": 73
|
464 |
},
|
465 |
{
|
466 |
+
"epoch": 2.74,
|
467 |
"learning_rate": 0.0002,
|
468 |
+
"loss": 0.0168,
|
469 |
"step": 74
|
470 |
},
|
471 |
{
|
472 |
+
"epoch": 2.78,
|
473 |
"learning_rate": 0.0002,
|
474 |
+
"loss": 0.0109,
|
475 |
"step": 75
|
476 |
},
|
477 |
{
|
478 |
+
"epoch": 2.81,
|
479 |
"learning_rate": 0.0002,
|
480 |
+
"loss": 0.0238,
|
481 |
"step": 76
|
482 |
},
|
483 |
{
|
484 |
+
"epoch": 2.85,
|
485 |
"learning_rate": 0.0002,
|
486 |
+
"loss": 0.0253,
|
487 |
"step": 77
|
488 |
},
|
489 |
{
|
490 |
+
"epoch": 2.89,
|
491 |
"learning_rate": 0.0002,
|
492 |
+
"loss": 0.0234,
|
493 |
"step": 78
|
494 |
},
|
495 |
{
|
496 |
+
"epoch": 2.93,
|
497 |
"learning_rate": 0.0002,
|
498 |
+
"loss": 0.0101,
|
499 |
"step": 79
|
500 |
},
|
501 |
{
|
502 |
+
"epoch": 2.96,
|
503 |
"learning_rate": 0.0002,
|
504 |
+
"loss": 0.0151,
|
505 |
"step": 80
|
506 |
},
|
507 |
{
|
508 |
+
"epoch": 3.0,
|
509 |
"learning_rate": 0.0002,
|
510 |
+
"loss": 0.0125,
|
511 |
"step": 81
|
512 |
},
|
513 |
{
|
514 |
+
"epoch": 3.0,
|
515 |
+
"eval_loss": 0.011764487251639366,
|
516 |
+
"eval_runtime": 47.0642,
|
517 |
+
"eval_samples_per_second": 9.03,
|
518 |
+
"eval_steps_per_second": 0.574,
|
519 |
+
"step": 81
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 3.04,
|
523 |
"learning_rate": 0.0002,
|
524 |
+
"loss": 0.0084,
|
525 |
"step": 82
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 3.07,
|
529 |
"learning_rate": 0.0002,
|
530 |
+
"loss": 0.0117,
|
531 |
"step": 83
|
532 |
},
|
533 |
{
|
534 |
+
"epoch": 3.11,
|
535 |
"learning_rate": 0.0002,
|
536 |
+
"loss": 0.0076,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
537 |
"step": 84
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 3.15,
|
541 |
"learning_rate": 0.0002,
|
542 |
+
"loss": 0.0108,
|
543 |
"step": 85
|
544 |
},
|
545 |
{
|
546 |
+
"epoch": 3.19,
|
547 |
"learning_rate": 0.0002,
|
548 |
+
"loss": 0.0029,
|
549 |
"step": 86
|
550 |
},
|
551 |
{
|
552 |
+
"epoch": 3.22,
|
553 |
"learning_rate": 0.0002,
|
554 |
+
"loss": 0.0062,
|
555 |
"step": 87
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 3.26,
|
559 |
"learning_rate": 0.0002,
|
560 |
+
"loss": 0.0042,
|
561 |
"step": 88
|
562 |
},
|
563 |
{
|
564 |
+
"epoch": 3.3,
|
565 |
"learning_rate": 0.0002,
|
566 |
+
"loss": 0.0108,
|
567 |
"step": 89
|
568 |
},
|
569 |
{
|
570 |
+
"epoch": 3.33,
|
571 |
"learning_rate": 0.0002,
|
572 |
+
"loss": 0.0133,
|
573 |
"step": 90
|
574 |
},
|
575 |
{
|
576 |
+
"epoch": 3.37,
|
577 |
"learning_rate": 0.0002,
|
578 |
+
"loss": 0.0062,
|
579 |
"step": 91
|
580 |
},
|
581 |
{
|
582 |
+
"epoch": 3.41,
|
583 |
"learning_rate": 0.0002,
|
584 |
+
"loss": 0.0124,
|
585 |
"step": 92
|
586 |
},
|
587 |
{
|
588 |
+
"epoch": 3.44,
|
589 |
"learning_rate": 0.0002,
|
590 |
+
"loss": 0.0184,
|
591 |
"step": 93
|
592 |
},
|
593 |
{
|
594 |
+
"epoch": 3.48,
|
595 |
"learning_rate": 0.0002,
|
596 |
+
"loss": 0.0168,
|
597 |
"step": 94
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 3.52,
|
601 |
"learning_rate": 0.0002,
|
602 |
+
"loss": 0.0056,
|
603 |
"step": 95
|
604 |
},
|
605 |
{
|
606 |
+
"epoch": 3.56,
|
607 |
"learning_rate": 0.0002,
|
608 |
+
"loss": 0.0068,
|
609 |
"step": 96
|
610 |
},
|
611 |
{
|
612 |
+
"epoch": 3.59,
|
613 |
"learning_rate": 0.0002,
|
614 |
+
"loss": 0.0088,
|
615 |
"step": 97
|
616 |
},
|
617 |
{
|
618 |
+
"epoch": 3.63,
|
619 |
"learning_rate": 0.0002,
|
620 |
+
"loss": 0.0085,
|
621 |
"step": 98
|
622 |
},
|
623 |
{
|
624 |
+
"epoch": 3.67,
|
625 |
"learning_rate": 0.0002,
|
626 |
+
"loss": 0.0048,
|
627 |
"step": 99
|
628 |
},
|
629 |
{
|
630 |
+
"epoch": 3.7,
|
631 |
"learning_rate": 0.0002,
|
632 |
+
"loss": 0.0117,
|
633 |
"step": 100
|
634 |
},
|
635 |
{
|
636 |
+
"epoch": 3.74,
|
637 |
"learning_rate": 0.0002,
|
638 |
+
"loss": 0.0107,
|
639 |
"step": 101
|
640 |
},
|
641 |
{
|
642 |
+
"epoch": 3.78,
|
643 |
"learning_rate": 0.0002,
|
644 |
+
"loss": 0.0138,
|
645 |
"step": 102
|
646 |
},
|
647 |
{
|
648 |
+
"epoch": 3.81,
|
649 |
"learning_rate": 0.0002,
|
650 |
+
"loss": 0.011,
|
651 |
"step": 103
|
652 |
},
|
653 |
{
|
654 |
+
"epoch": 3.85,
|
655 |
"learning_rate": 0.0002,
|
656 |
+
"loss": 0.015,
|
657 |
"step": 104
|
658 |
},
|
659 |
{
|
660 |
+
"epoch": 3.89,
|
661 |
"learning_rate": 0.0002,
|
662 |
+
"loss": 0.0114,
|
663 |
"step": 105
|
664 |
},
|
665 |
{
|
666 |
+
"epoch": 3.93,
|
667 |
"learning_rate": 0.0002,
|
668 |
+
"loss": 0.0139,
|
669 |
"step": 106
|
670 |
},
|
671 |
{
|
672 |
+
"epoch": 3.96,
|
673 |
"learning_rate": 0.0002,
|
674 |
+
"loss": 0.0086,
|
675 |
"step": 107
|
676 |
},
|
677 |
{
|
678 |
+
"epoch": 4.0,
|
679 |
"learning_rate": 0.0002,
|
680 |
+
"loss": 0.0085,
|
681 |
"step": 108
|
682 |
},
|
683 |
{
|
684 |
+
"epoch": 4.0,
|
685 |
+
"eval_loss": 0.010691417381167412,
|
686 |
+
"eval_runtime": 47.1396,
|
687 |
+
"eval_samples_per_second": 9.016,
|
688 |
+
"eval_steps_per_second": 0.573,
|
689 |
+
"step": 108
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 4.04,
|
693 |
"learning_rate": 0.0002,
|
694 |
+
"loss": 0.0112,
|
695 |
"step": 109
|
696 |
},
|
697 |
{
|
698 |
+
"epoch": 4.07,
|
699 |
"learning_rate": 0.0002,
|
700 |
+
"loss": 0.0041,
|
701 |
"step": 110
|
702 |
},
|
703 |
{
|
704 |
+
"epoch": 4.11,
|
705 |
"learning_rate": 0.0002,
|
706 |
+
"loss": 0.0038,
|
707 |
"step": 111
|
708 |
},
|
709 |
{
|
710 |
+
"epoch": 4.15,
|
711 |
"learning_rate": 0.0002,
|
712 |
+
"loss": 0.0056,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
713 |
"step": 112
|
714 |
},
|
715 |
{
|
716 |
+
"epoch": 4.19,
|
717 |
"learning_rate": 0.0002,
|
718 |
+
"loss": 0.0062,
|
719 |
"step": 113
|
720 |
},
|
721 |
{
|
722 |
+
"epoch": 4.22,
|
723 |
"learning_rate": 0.0002,
|
724 |
+
"loss": 0.0089,
|
725 |
"step": 114
|
726 |
},
|
727 |
{
|
728 |
+
"epoch": 4.26,
|
729 |
"learning_rate": 0.0002,
|
730 |
+
"loss": 0.0032,
|
731 |
"step": 115
|
732 |
},
|
733 |
{
|
734 |
+
"epoch": 4.3,
|
735 |
"learning_rate": 0.0002,
|
736 |
+
"loss": 0.0056,
|
737 |
"step": 116
|
738 |
},
|
739 |
{
|
740 |
+
"epoch": 4.33,
|
741 |
"learning_rate": 0.0002,
|
742 |
+
"loss": 0.004,
|
743 |
"step": 117
|
744 |
},
|
745 |
{
|
746 |
+
"epoch": 4.37,
|
747 |
"learning_rate": 0.0002,
|
748 |
+
"loss": 0.0038,
|
749 |
"step": 118
|
750 |
},
|
751 |
{
|
752 |
+
"epoch": 4.41,
|
753 |
"learning_rate": 0.0002,
|
754 |
+
"loss": 0.0083,
|
755 |
"step": 119
|
756 |
},
|
757 |
{
|
758 |
+
"epoch": 4.44,
|
759 |
"learning_rate": 0.0002,
|
760 |
+
"loss": 0.0014,
|
761 |
"step": 120
|
762 |
},
|
763 |
{
|
764 |
+
"epoch": 4.48,
|
765 |
"learning_rate": 0.0002,
|
766 |
+
"loss": 0.0085,
|
767 |
"step": 121
|
768 |
},
|
769 |
{
|
770 |
+
"epoch": 4.52,
|
771 |
"learning_rate": 0.0002,
|
772 |
+
"loss": 0.0096,
|
773 |
"step": 122
|
774 |
},
|
775 |
{
|
776 |
+
"epoch": 4.56,
|
777 |
"learning_rate": 0.0002,
|
778 |
+
"loss": 0.0031,
|
779 |
"step": 123
|
780 |
},
|
781 |
{
|
782 |
+
"epoch": 4.59,
|
783 |
"learning_rate": 0.0002,
|
784 |
+
"loss": 0.0184,
|
785 |
"step": 124
|
786 |
},
|
787 |
{
|
788 |
+
"epoch": 4.63,
|
789 |
"learning_rate": 0.0002,
|
790 |
+
"loss": 0.0095,
|
791 |
"step": 125
|
792 |
},
|
793 |
{
|
794 |
+
"epoch": 4.67,
|
795 |
"learning_rate": 0.0002,
|
796 |
+
"loss": 0.0033,
|
797 |
"step": 126
|
798 |
},
|
799 |
{
|
800 |
+
"epoch": 4.7,
|
801 |
"learning_rate": 0.0002,
|
802 |
+
"loss": 0.0029,
|
803 |
"step": 127
|
804 |
},
|
805 |
{
|
806 |
+
"epoch": 4.74,
|
807 |
"learning_rate": 0.0002,
|
808 |
+
"loss": 0.0123,
|
809 |
"step": 128
|
810 |
},
|
811 |
{
|
812 |
+
"epoch": 4.78,
|
813 |
"learning_rate": 0.0002,
|
814 |
+
"loss": 0.0091,
|
815 |
"step": 129
|
816 |
},
|
817 |
{
|
818 |
+
"epoch": 4.81,
|
819 |
"learning_rate": 0.0002,
|
820 |
+
"loss": 0.0095,
|
821 |
"step": 130
|
822 |
},
|
823 |
{
|
824 |
+
"epoch": 4.85,
|
825 |
"learning_rate": 0.0002,
|
826 |
+
"loss": 0.0116,
|
827 |
"step": 131
|
828 |
},
|
829 |
{
|
830 |
+
"epoch": 4.89,
|
831 |
"learning_rate": 0.0002,
|
832 |
+
"loss": 0.0057,
|
833 |
"step": 132
|
834 |
},
|
835 |
{
|
836 |
+
"epoch": 4.93,
|
837 |
"learning_rate": 0.0002,
|
838 |
+
"loss": 0.0127,
|
839 |
"step": 133
|
840 |
},
|
841 |
{
|
842 |
+
"epoch": 4.96,
|
843 |
"learning_rate": 0.0002,
|
844 |
"loss": 0.0041,
|
845 |
"step": 134
|
846 |
},
|
847 |
{
|
848 |
+
"epoch": 5.0,
|
849 |
"learning_rate": 0.0002,
|
850 |
+
"loss": 0.0071,
|
851 |
+
"step": 135
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 5.0,
|
855 |
+
"eval_loss": 0.0062667191959917545,
|
856 |
+
"eval_runtime": 47.1473,
|
857 |
+
"eval_samples_per_second": 9.014,
|
858 |
+
"eval_steps_per_second": 0.573,
|
859 |
"step": 135
|
860 |
},
|
861 |
{
|
862 |
+
"epoch": 5.04,
|
863 |
"learning_rate": 0.0002,
|
864 |
+
"loss": 0.0038,
|
865 |
"step": 136
|
866 |
},
|
867 |
{
|
868 |
+
"epoch": 5.07,
|
869 |
"learning_rate": 0.0002,
|
870 |
+
"loss": 0.0027,
|
871 |
"step": 137
|
872 |
},
|
873 |
{
|
874 |
+
"epoch": 5.11,
|
875 |
"learning_rate": 0.0002,
|
876 |
+
"loss": 0.0043,
|
877 |
"step": 138
|
878 |
},
|
879 |
{
|
880 |
+
"epoch": 5.15,
|
881 |
"learning_rate": 0.0002,
|
882 |
+
"loss": 0.0035,
|
883 |
"step": 139
|
884 |
},
|
885 |
{
|
886 |
+
"epoch": 5.19,
|
887 |
"learning_rate": 0.0002,
|
888 |
+
"loss": 0.0041,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
889 |
"step": 140
|
890 |
},
|
891 |
{
|
892 |
+
"epoch": 5.22,
|
893 |
"learning_rate": 0.0002,
|
894 |
+
"loss": 0.0048,
|
895 |
"step": 141
|
896 |
},
|
897 |
{
|
898 |
+
"epoch": 5.26,
|
899 |
"learning_rate": 0.0002,
|
900 |
+
"loss": 0.0059,
|
901 |
"step": 142
|
902 |
},
|
903 |
{
|
904 |
+
"epoch": 5.3,
|
905 |
"learning_rate": 0.0002,
|
906 |
+
"loss": 0.0036,
|
907 |
"step": 143
|
908 |
},
|
909 |
{
|
910 |
+
"epoch": 5.33,
|
911 |
"learning_rate": 0.0002,
|
912 |
+
"loss": 0.0018,
|
913 |
"step": 144
|
914 |
},
|
915 |
{
|
916 |
+
"epoch": 5.37,
|
917 |
"learning_rate": 0.0002,
|
918 |
+
"loss": 0.0055,
|
919 |
"step": 145
|
920 |
},
|
921 |
{
|
922 |
+
"epoch": 5.41,
|
923 |
"learning_rate": 0.0002,
|
924 |
+
"loss": 0.0057,
|
925 |
"step": 146
|
926 |
},
|
927 |
{
|
928 |
+
"epoch": 5.44,
|
929 |
"learning_rate": 0.0002,
|
930 |
+
"loss": 0.0029,
|
931 |
"step": 147
|
932 |
},
|
933 |
{
|
934 |
+
"epoch": 5.48,
|
935 |
"learning_rate": 0.0002,
|
936 |
+
"loss": 0.0029,
|
937 |
"step": 148
|
938 |
},
|
939 |
{
|
940 |
+
"epoch": 5.52,
|
941 |
"learning_rate": 0.0002,
|
942 |
+
"loss": 0.0042,
|
943 |
"step": 149
|
944 |
},
|
945 |
{
|
946 |
+
"epoch": 5.56,
|
947 |
"learning_rate": 0.0002,
|
948 |
+
"loss": 0.0047,
|
949 |
"step": 150
|
950 |
},
|
951 |
{
|
952 |
+
"epoch": 5.59,
|
953 |
"learning_rate": 0.0002,
|
954 |
+
"loss": 0.0029,
|
955 |
"step": 151
|
956 |
},
|
957 |
{
|
958 |
+
"epoch": 5.63,
|
959 |
"learning_rate": 0.0002,
|
960 |
+
"loss": 0.0063,
|
961 |
"step": 152
|
962 |
},
|
963 |
{
|
964 |
+
"epoch": 5.67,
|
965 |
"learning_rate": 0.0002,
|
966 |
+
"loss": 0.0072,
|
967 |
"step": 153
|
968 |
},
|
969 |
{
|
970 |
+
"epoch": 5.7,
|
971 |
"learning_rate": 0.0002,
|
972 |
+
"loss": 0.0056,
|
973 |
"step": 154
|
974 |
},
|
975 |
{
|
976 |
+
"epoch": 5.74,
|
977 |
"learning_rate": 0.0002,
|
978 |
+
"loss": 0.0031,
|
979 |
"step": 155
|
980 |
},
|
981 |
{
|
982 |
+
"epoch": 5.78,
|
983 |
"learning_rate": 0.0002,
|
984 |
+
"loss": 0.0024,
|
985 |
"step": 156
|
986 |
},
|
987 |
{
|
988 |
+
"epoch": 5.81,
|
989 |
"learning_rate": 0.0002,
|
990 |
+
"loss": 0.0058,
|
991 |
"step": 157
|
992 |
},
|
993 |
{
|
994 |
+
"epoch": 5.85,
|
995 |
"learning_rate": 0.0002,
|
996 |
+
"loss": 0.0147,
|
997 |
"step": 158
|
998 |
},
|
999 |
{
|
1000 |
+
"epoch": 5.89,
|
1001 |
"learning_rate": 0.0002,
|
1002 |
+
"loss": 0.0083,
|
1003 |
"step": 159
|
1004 |
},
|
1005 |
{
|
1006 |
+
"epoch": 5.93,
|
1007 |
"learning_rate": 0.0002,
|
1008 |
+
"loss": 0.0074,
|
1009 |
"step": 160
|
1010 |
},
|
1011 |
{
|
1012 |
+
"epoch": 5.96,
|
1013 |
"learning_rate": 0.0002,
|
1014 |
"loss": 0.0033,
|
1015 |
"step": 161
|
1016 |
},
|
1017 |
{
|
1018 |
+
"epoch": 6.0,
|
1019 |
"learning_rate": 0.0002,
|
1020 |
+
"loss": 0.0039,
|
1021 |
+
"step": 162
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 6.0,
|
1025 |
+
"eval_loss": 0.0038645861204713583,
|
1026 |
+
"eval_runtime": 47.1298,
|
1027 |
+
"eval_samples_per_second": 9.018,
|
1028 |
+
"eval_steps_per_second": 0.573,
|
1029 |
"step": 162
|
1030 |
},
|
1031 |
{
|
1032 |
+
"epoch": 6.04,
|
1033 |
"learning_rate": 0.0002,
|
1034 |
+
"loss": 0.0011,
|
1035 |
"step": 163
|
1036 |
},
|
1037 |
{
|
1038 |
+
"epoch": 6.07,
|
1039 |
"learning_rate": 0.0002,
|
1040 |
+
"loss": 0.0023,
|
1041 |
"step": 164
|
1042 |
},
|
1043 |
{
|
1044 |
+
"epoch": 6.11,
|
1045 |
"learning_rate": 0.0002,
|
1046 |
+
"loss": 0.0094,
|
1047 |
"step": 165
|
1048 |
},
|
1049 |
{
|
1050 |
+
"epoch": 6.15,
|
1051 |
"learning_rate": 0.0002,
|
1052 |
+
"loss": 0.0027,
|
1053 |
"step": 166
|
1054 |
},
|
1055 |
{
|
1056 |
+
"epoch": 6.19,
|
1057 |
"learning_rate": 0.0002,
|
1058 |
+
"loss": 0.0025,
|
1059 |
"step": 167
|
1060 |
},
|
1061 |
{
|
1062 |
+
"epoch": 6.22,
|
1063 |
"learning_rate": 0.0002,
|
1064 |
+
"loss": 0.004,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1065 |
"step": 168
|
1066 |
},
|
1067 |
{
|
1068 |
+
"epoch": 6.26,
|
1069 |
"learning_rate": 0.0002,
|
1070 |
"loss": 0.0025,
|
1071 |
"step": 169
|
1072 |
},
|
1073 |
{
|
1074 |
+
"epoch": 6.3,
|
1075 |
"learning_rate": 0.0002,
|
1076 |
+
"loss": 0.0035,
|
1077 |
"step": 170
|
1078 |
},
|
1079 |
{
|
1080 |
+
"epoch": 6.33,
|
1081 |
"learning_rate": 0.0002,
|
1082 |
+
"loss": 0.0008,
|
1083 |
"step": 171
|
1084 |
},
|
1085 |
{
|
1086 |
+
"epoch": 6.37,
|
1087 |
"learning_rate": 0.0002,
|
1088 |
+
"loss": 0.0079,
|
1089 |
"step": 172
|
1090 |
},
|
1091 |
{
|
1092 |
+
"epoch": 6.41,
|
1093 |
"learning_rate": 0.0002,
|
1094 |
+
"loss": 0.0073,
|
1095 |
"step": 173
|
1096 |
},
|
1097 |
{
|
1098 |
+
"epoch": 6.44,
|
1099 |
"learning_rate": 0.0002,
|
1100 |
+
"loss": 0.0057,
|
1101 |
"step": 174
|
1102 |
},
|
1103 |
{
|
1104 |
+
"epoch": 6.48,
|
1105 |
"learning_rate": 0.0002,
|
1106 |
+
"loss": 0.003,
|
1107 |
"step": 175
|
1108 |
},
|
1109 |
{
|
1110 |
+
"epoch": 6.52,
|
1111 |
"learning_rate": 0.0002,
|
1112 |
+
"loss": 0.0082,
|
1113 |
"step": 176
|
1114 |
},
|
1115 |
{
|
1116 |
+
"epoch": 6.56,
|
1117 |
"learning_rate": 0.0002,
|
1118 |
+
"loss": 0.0037,
|
1119 |
"step": 177
|
1120 |
},
|
1121 |
{
|
1122 |
+
"epoch": 6.59,
|
1123 |
"learning_rate": 0.0002,
|
1124 |
+
"loss": 0.0056,
|
1125 |
"step": 178
|
1126 |
},
|
1127 |
{
|
1128 |
+
"epoch": 6.63,
|
1129 |
"learning_rate": 0.0002,
|
1130 |
+
"loss": 0.0094,
|
1131 |
"step": 179
|
1132 |
},
|
1133 |
{
|
1134 |
+
"epoch": 6.67,
|
1135 |
"learning_rate": 0.0002,
|
1136 |
+
"loss": 0.0047,
|
1137 |
"step": 180
|
1138 |
},
|
1139 |
{
|
1140 |
+
"epoch": 6.7,
|
1141 |
"learning_rate": 0.0002,
|
1142 |
+
"loss": 0.0023,
|
1143 |
"step": 181
|
1144 |
},
|
1145 |
{
|
1146 |
+
"epoch": 6.74,
|
1147 |
"learning_rate": 0.0002,
|
1148 |
+
"loss": 0.0039,
|
1149 |
"step": 182
|
1150 |
},
|
1151 |
{
|
1152 |
+
"epoch": 6.78,
|
1153 |
"learning_rate": 0.0002,
|
1154 |
+
"loss": 0.0045,
|
1155 |
"step": 183
|
1156 |
},
|
1157 |
{
|
1158 |
+
"epoch": 6.81,
|
1159 |
"learning_rate": 0.0002,
|
1160 |
+
"loss": 0.0025,
|
1161 |
"step": 184
|
1162 |
},
|
1163 |
{
|
1164 |
+
"epoch": 6.85,
|
1165 |
"learning_rate": 0.0002,
|
1166 |
+
"loss": 0.0045,
|
1167 |
"step": 185
|
1168 |
},
|
1169 |
{
|
1170 |
+
"epoch": 6.89,
|
1171 |
"learning_rate": 0.0002,
|
1172 |
+
"loss": 0.0072,
|
1173 |
"step": 186
|
1174 |
},
|
1175 |
{
|
1176 |
+
"epoch": 6.93,
|
1177 |
"learning_rate": 0.0002,
|
1178 |
+
"loss": 0.0034,
|
1179 |
"step": 187
|
1180 |
},
|
1181 |
{
|
1182 |
+
"epoch": 6.96,
|
1183 |
"learning_rate": 0.0002,
|
1184 |
+
"loss": 0.0095,
|
1185 |
"step": 188
|
1186 |
},
|
1187 |
{
|
1188 |
+
"epoch": 7.0,
|
1189 |
"learning_rate": 0.0002,
|
1190 |
+
"loss": 0.0096,
|
1191 |
"step": 189
|
1192 |
},
|
1193 |
{
|
1194 |
+
"epoch": 7.0,
|
1195 |
+
"eval_loss": 0.0038698073476552963,
|
1196 |
+
"eval_runtime": 47.1716,
|
1197 |
+
"eval_samples_per_second": 9.01,
|
1198 |
+
"eval_steps_per_second": 0.572,
|
1199 |
+
"step": 189
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 7.04,
|
1203 |
"learning_rate": 0.0002,
|
1204 |
+
"loss": 0.0021,
|
1205 |
"step": 190
|
1206 |
},
|
1207 |
{
|
1208 |
+
"epoch": 7.07,
|
1209 |
"learning_rate": 0.0002,
|
1210 |
+
"loss": 0.005,
|
1211 |
"step": 191
|
1212 |
},
|
1213 |
{
|
1214 |
+
"epoch": 7.11,
|
1215 |
"learning_rate": 0.0002,
|
1216 |
+
"loss": 0.0023,
|
1217 |
"step": 192
|
1218 |
},
|
1219 |
{
|
1220 |
+
"epoch": 7.15,
|
1221 |
"learning_rate": 0.0002,
|
1222 |
+
"loss": 0.0034,
|
1223 |
"step": 193
|
1224 |
},
|
1225 |
{
|
1226 |
+
"epoch": 7.19,
|
1227 |
"learning_rate": 0.0002,
|
1228 |
+
"loss": 0.0072,
|
1229 |
"step": 194
|
1230 |
},
|
1231 |
{
|
1232 |
+
"epoch": 7.22,
|
1233 |
"learning_rate": 0.0002,
|
1234 |
+
"loss": 0.0034,
|
1235 |
"step": 195
|
1236 |
},
|
1237 |
{
|
1238 |
+
"epoch": 7.26,
|
1239 |
"learning_rate": 0.0002,
|
1240 |
+
"loss": 0.0015,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1241 |
"step": 196
|
1242 |
},
|
1243 |
{
|
1244 |
+
"epoch": 7.3,
|
1245 |
"learning_rate": 0.0002,
|
1246 |
+
"loss": 0.0039,
|
1247 |
"step": 197
|
1248 |
},
|
1249 |
{
|
1250 |
+
"epoch": 7.33,
|
1251 |
"learning_rate": 0.0002,
|
1252 |
+
"loss": 0.0011,
|
1253 |
"step": 198
|
1254 |
},
|
1255 |
{
|
1256 |
+
"epoch": 7.37,
|
1257 |
"learning_rate": 0.0002,
|
1258 |
+
"loss": 0.0034,
|
1259 |
"step": 199
|
1260 |
},
|
1261 |
{
|
1262 |
+
"epoch": 7.41,
|
1263 |
"learning_rate": 0.0002,
|
1264 |
+
"loss": 0.0054,
|
1265 |
"step": 200
|
1266 |
},
|
1267 |
{
|
1268 |
+
"epoch": 7.44,
|
1269 |
"learning_rate": 0.0002,
|
1270 |
+
"loss": 0.0018,
|
1271 |
"step": 201
|
1272 |
},
|
1273 |
{
|
1274 |
+
"epoch": 7.48,
|
1275 |
"learning_rate": 0.0002,
|
1276 |
+
"loss": 0.0013,
|
1277 |
"step": 202
|
1278 |
},
|
1279 |
{
|
1280 |
+
"epoch": 7.52,
|
1281 |
"learning_rate": 0.0002,
|
1282 |
+
"loss": 0.0026,
|
1283 |
"step": 203
|
1284 |
},
|
1285 |
{
|
1286 |
+
"epoch": 7.56,
|
1287 |
"learning_rate": 0.0002,
|
1288 |
+
"loss": 0.0009,
|
1289 |
"step": 204
|
1290 |
},
|
1291 |
{
|
1292 |
+
"epoch": 7.59,
|
1293 |
"learning_rate": 0.0002,
|
1294 |
+
"loss": 0.0027,
|
1295 |
"step": 205
|
1296 |
},
|
1297 |
{
|
1298 |
+
"epoch": 7.63,
|
1299 |
"learning_rate": 0.0002,
|
1300 |
+
"loss": 0.0042,
|
1301 |
"step": 206
|
1302 |
},
|
1303 |
{
|
1304 |
+
"epoch": 7.67,
|
1305 |
"learning_rate": 0.0002,
|
1306 |
+
"loss": 0.0052,
|
1307 |
"step": 207
|
1308 |
},
|
1309 |
{
|
1310 |
+
"epoch": 7.7,
|
1311 |
"learning_rate": 0.0002,
|
1312 |
+
"loss": 0.0069,
|
1313 |
"step": 208
|
1314 |
},
|
1315 |
{
|
1316 |
+
"epoch": 7.74,
|
1317 |
"learning_rate": 0.0002,
|
1318 |
+
"loss": 0.0044,
|
1319 |
"step": 209
|
1320 |
},
|
1321 |
{
|
1322 |
+
"epoch": 7.78,
|
1323 |
"learning_rate": 0.0002,
|
1324 |
+
"loss": 0.004,
|
1325 |
"step": 210
|
1326 |
},
|
1327 |
{
|
1328 |
+
"epoch": 7.81,
|
1329 |
"learning_rate": 0.0002,
|
1330 |
+
"loss": 0.0028,
|
1331 |
"step": 211
|
1332 |
},
|
1333 |
{
|
1334 |
+
"epoch": 7.85,
|
1335 |
"learning_rate": 0.0002,
|
1336 |
+
"loss": 0.002,
|
1337 |
"step": 212
|
1338 |
},
|
1339 |
{
|
1340 |
+
"epoch": 7.89,
|
1341 |
"learning_rate": 0.0002,
|
1342 |
+
"loss": 0.0102,
|
1343 |
"step": 213
|
1344 |
},
|
1345 |
{
|
1346 |
+
"epoch": 7.93,
|
1347 |
"learning_rate": 0.0002,
|
1348 |
+
"loss": 0.0055,
|
1349 |
"step": 214
|
1350 |
},
|
1351 |
{
|
1352 |
+
"epoch": 7.96,
|
1353 |
"learning_rate": 0.0002,
|
1354 |
+
"loss": 0.0031,
|
1355 |
"step": 215
|
1356 |
},
|
1357 |
{
|
1358 |
+
"epoch": 8.0,
|
1359 |
"learning_rate": 0.0002,
|
1360 |
+
"loss": 0.0043,
|
1361 |
+
"step": 216
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 8.0,
|
1365 |
+
"eval_loss": 0.004100330173969269,
|
1366 |
+
"eval_runtime": 47.1336,
|
1367 |
+
"eval_samples_per_second": 9.017,
|
1368 |
+
"eval_steps_per_second": 0.573,
|
1369 |
"step": 216
|
1370 |
},
|
1371 |
{
|
1372 |
+
"epoch": 8.04,
|
1373 |
"learning_rate": 0.0002,
|
1374 |
+
"loss": 0.0016,
|
1375 |
"step": 217
|
1376 |
},
|
1377 |
{
|
1378 |
+
"epoch": 8.07,
|
1379 |
"learning_rate": 0.0002,
|
1380 |
+
"loss": 0.0023,
|
1381 |
"step": 218
|
1382 |
},
|
1383 |
{
|
1384 |
+
"epoch": 8.11,
|
1385 |
"learning_rate": 0.0002,
|
1386 |
+
"loss": 0.0074,
|
1387 |
"step": 219
|
1388 |
},
|
1389 |
{
|
1390 |
+
"epoch": 8.15,
|
1391 |
"learning_rate": 0.0002,
|
1392 |
+
"loss": 0.0031,
|
1393 |
"step": 220
|
1394 |
},
|
1395 |
{
|
1396 |
+
"epoch": 8.19,
|
1397 |
"learning_rate": 0.0002,
|
1398 |
+
"loss": 0.0033,
|
1399 |
"step": 221
|
1400 |
},
|
1401 |
{
|
1402 |
+
"epoch": 8.22,
|
1403 |
"learning_rate": 0.0002,
|
1404 |
+
"loss": 0.0054,
|
1405 |
"step": 222
|
1406 |
},
|
1407 |
{
|
1408 |
+
"epoch": 8.26,
|
1409 |
"learning_rate": 0.0002,
|
1410 |
+
"loss": 0.001,
|
1411 |
"step": 223
|
1412 |
},
|
1413 |
{
|
1414 |
+
"epoch": 8.3,
|
1415 |
"learning_rate": 0.0002,
|
1416 |
+
"loss": 0.0073,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1417 |
"step": 224
|
1418 |
},
|
1419 |
{
|
1420 |
+
"epoch": 8.33,
|
1421 |
"learning_rate": 0.0002,
|
1422 |
+
"loss": 0.0018,
|
1423 |
"step": 225
|
1424 |
},
|
1425 |
{
|
1426 |
+
"epoch": 8.37,
|
1427 |
"learning_rate": 0.0002,
|
1428 |
+
"loss": 0.0032,
|
1429 |
"step": 226
|
1430 |
},
|
1431 |
{
|
1432 |
+
"epoch": 8.41,
|
1433 |
"learning_rate": 0.0002,
|
1434 |
+
"loss": 0.0043,
|
1435 |
"step": 227
|
1436 |
},
|
1437 |
{
|
1438 |
+
"epoch": 8.44,
|
1439 |
"learning_rate": 0.0002,
|
1440 |
+
"loss": 0.0015,
|
1441 |
"step": 228
|
1442 |
},
|
1443 |
{
|
1444 |
+
"epoch": 8.48,
|
1445 |
"learning_rate": 0.0002,
|
1446 |
+
"loss": 0.0041,
|
1447 |
"step": 229
|
1448 |
},
|
1449 |
{
|
1450 |
+
"epoch": 8.52,
|
1451 |
"learning_rate": 0.0002,
|
1452 |
+
"loss": 0.0035,
|
1453 |
"step": 230
|
1454 |
},
|
1455 |
{
|
1456 |
+
"epoch": 8.56,
|
1457 |
"learning_rate": 0.0002,
|
1458 |
+
"loss": 0.0018,
|
1459 |
"step": 231
|
1460 |
},
|
1461 |
{
|
1462 |
+
"epoch": 8.59,
|
1463 |
"learning_rate": 0.0002,
|
1464 |
+
"loss": 0.0021,
|
1465 |
"step": 232
|
1466 |
},
|
1467 |
{
|
1468 |
+
"epoch": 8.63,
|
1469 |
"learning_rate": 0.0002,
|
1470 |
+
"loss": 0.0057,
|
1471 |
"step": 233
|
1472 |
},
|
1473 |
{
|
1474 |
+
"epoch": 8.67,
|
1475 |
"learning_rate": 0.0002,
|
1476 |
+
"loss": 0.0014,
|
1477 |
"step": 234
|
1478 |
},
|
1479 |
{
|
1480 |
+
"epoch": 8.7,
|
1481 |
"learning_rate": 0.0002,
|
1482 |
+
"loss": 0.0031,
|
1483 |
"step": 235
|
1484 |
},
|
1485 |
{
|
1486 |
+
"epoch": 8.74,
|
1487 |
"learning_rate": 0.0002,
|
1488 |
+
"loss": 0.0065,
|
1489 |
"step": 236
|
1490 |
},
|
1491 |
{
|
1492 |
+
"epoch": 8.78,
|
1493 |
"learning_rate": 0.0002,
|
1494 |
+
"loss": 0.0052,
|
1495 |
"step": 237
|
1496 |
},
|
1497 |
{
|
1498 |
+
"epoch": 8.81,
|
1499 |
"learning_rate": 0.0002,
|
1500 |
+
"loss": 0.0027,
|
1501 |
"step": 238
|
1502 |
},
|
1503 |
{
|
1504 |
+
"epoch": 8.85,
|
1505 |
"learning_rate": 0.0002,
|
1506 |
+
"loss": 0.0026,
|
1507 |
"step": 239
|
1508 |
},
|
1509 |
{
|
1510 |
+
"epoch": 8.89,
|
1511 |
"learning_rate": 0.0002,
|
1512 |
+
"loss": 0.0008,
|
1513 |
"step": 240
|
1514 |
},
|
1515 |
{
|
1516 |
+
"epoch": 8.93,
|
1517 |
"learning_rate": 0.0002,
|
1518 |
+
"loss": 0.0055,
|
1519 |
"step": 241
|
1520 |
},
|
1521 |
{
|
1522 |
+
"epoch": 8.96,
|
1523 |
"learning_rate": 0.0002,
|
1524 |
+
"loss": 0.0048,
|
1525 |
"step": 242
|
1526 |
},
|
1527 |
{
|
1528 |
+
"epoch": 9.0,
|
1529 |
"learning_rate": 0.0002,
|
1530 |
+
"loss": 0.0012,
|
1531 |
+
"step": 243
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 9.0,
|
1535 |
+
"eval_loss": 0.003390117548406124,
|
1536 |
+
"eval_runtime": 47.1852,
|
1537 |
+
"eval_samples_per_second": 9.007,
|
1538 |
+
"eval_steps_per_second": 0.572,
|
1539 |
"step": 243
|
1540 |
},
|
1541 |
{
|
1542 |
+
"epoch": 9.04,
|
1543 |
"learning_rate": 0.0002,
|
1544 |
+
"loss": 0.0005,
|
1545 |
"step": 244
|
1546 |
},
|
1547 |
{
|
1548 |
+
"epoch": 9.07,
|
1549 |
"learning_rate": 0.0002,
|
1550 |
+
"loss": 0.0007,
|
1551 |
"step": 245
|
1552 |
},
|
1553 |
{
|
1554 |
+
"epoch": 9.11,
|
1555 |
"learning_rate": 0.0002,
|
1556 |
+
"loss": 0.0018,
|
1557 |
"step": 246
|
1558 |
},
|
1559 |
{
|
1560 |
+
"epoch": 9.15,
|
1561 |
"learning_rate": 0.0002,
|
1562 |
+
"loss": 0.0048,
|
1563 |
"step": 247
|
1564 |
},
|
1565 |
{
|
1566 |
+
"epoch": 9.19,
|
1567 |
"learning_rate": 0.0002,
|
1568 |
+
"loss": 0.0034,
|
1569 |
"step": 248
|
1570 |
},
|
1571 |
{
|
1572 |
+
"epoch": 9.22,
|
1573 |
"learning_rate": 0.0002,
|
1574 |
+
"loss": 0.0055,
|
1575 |
"step": 249
|
1576 |
},
|
1577 |
{
|
1578 |
+
"epoch": 9.26,
|
1579 |
"learning_rate": 0.0002,
|
1580 |
+
"loss": 0.0044,
|
1581 |
"step": 250
|
1582 |
},
|
1583 |
{
|
1584 |
+
"epoch": 9.3,
|
1585 |
"learning_rate": 0.0002,
|
1586 |
+
"loss": 0.0134,
|
1587 |
"step": 251
|
1588 |
},
|
1589 |
{
|
1590 |
+
"epoch": 9.33,
|
1591 |
"learning_rate": 0.0002,
|
1592 |
+
"loss": 0.0038,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1593 |
"step": 252
|
1594 |
},
|
1595 |
{
|
1596 |
+
"epoch": 9.37,
|
1597 |
"learning_rate": 0.0002,
|
1598 |
+
"loss": 0.0049,
|
1599 |
"step": 253
|
1600 |
},
|
1601 |
{
|
1602 |
+
"epoch": 9.41,
|
1603 |
"learning_rate": 0.0002,
|
1604 |
"loss": 0.0029,
|
1605 |
"step": 254
|
1606 |
},
|
1607 |
{
|
1608 |
+
"epoch": 9.44,
|
1609 |
"learning_rate": 0.0002,
|
1610 |
+
"loss": 0.0027,
|
1611 |
"step": 255
|
1612 |
},
|
1613 |
{
|
1614 |
+
"epoch": 9.48,
|
1615 |
"learning_rate": 0.0002,
|
1616 |
+
"loss": 0.0131,
|
1617 |
"step": 256
|
1618 |
},
|
1619 |
{
|
1620 |
+
"epoch": 9.52,
|
1621 |
"learning_rate": 0.0002,
|
1622 |
+
"loss": 0.0005,
|
1623 |
"step": 257
|
1624 |
},
|
1625 |
{
|
1626 |
+
"epoch": 9.56,
|
1627 |
"learning_rate": 0.0002,
|
1628 |
+
"loss": 0.0006,
|
1629 |
"step": 258
|
1630 |
},
|
1631 |
{
|
1632 |
+
"epoch": 9.59,
|
1633 |
"learning_rate": 0.0002,
|
1634 |
+
"loss": 0.0013,
|
1635 |
"step": 259
|
1636 |
},
|
1637 |
{
|
1638 |
+
"epoch": 9.63,
|
1639 |
"learning_rate": 0.0002,
|
1640 |
+
"loss": 0.0191,
|
1641 |
"step": 260
|
1642 |
},
|
1643 |
{
|
1644 |
+
"epoch": 9.67,
|
1645 |
"learning_rate": 0.0002,
|
1646 |
+
"loss": 0.004,
|
1647 |
"step": 261
|
1648 |
},
|
1649 |
{
|
1650 |
+
"epoch": 9.7,
|
1651 |
"learning_rate": 0.0002,
|
1652 |
+
"loss": 0.005,
|
1653 |
"step": 262
|
1654 |
},
|
1655 |
{
|
1656 |
+
"epoch": 9.74,
|
1657 |
"learning_rate": 0.0002,
|
1658 |
+
"loss": 0.0073,
|
1659 |
"step": 263
|
1660 |
},
|
1661 |
{
|
1662 |
+
"epoch": 9.78,
|
1663 |
"learning_rate": 0.0002,
|
1664 |
+
"loss": 0.0013,
|
1665 |
"step": 264
|
1666 |
},
|
1667 |
{
|
1668 |
+
"epoch": 9.81,
|
1669 |
"learning_rate": 0.0002,
|
1670 |
+
"loss": 0.0027,
|
1671 |
"step": 265
|
1672 |
},
|
1673 |
{
|
1674 |
+
"epoch": 9.85,
|
1675 |
"learning_rate": 0.0002,
|
1676 |
+
"loss": 0.0034,
|
1677 |
"step": 266
|
1678 |
},
|
1679 |
{
|
1680 |
+
"epoch": 9.89,
|
1681 |
"learning_rate": 0.0002,
|
1682 |
+
"loss": 0.0093,
|
1683 |
"step": 267
|
1684 |
},
|
1685 |
{
|
1686 |
+
"epoch": 9.93,
|
1687 |
"learning_rate": 0.0002,
|
1688 |
+
"loss": 0.0023,
|
1689 |
"step": 268
|
1690 |
},
|
1691 |
{
|
1692 |
+
"epoch": 9.96,
|
1693 |
"learning_rate": 0.0002,
|
1694 |
+
"loss": 0.0097,
|
1695 |
"step": 269
|
1696 |
},
|
1697 |
{
|
1698 |
+
"epoch": 10.0,
|
1699 |
"learning_rate": 0.0002,
|
1700 |
+
"loss": 0.0013,
|
1701 |
+
"step": 270
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 10.0,
|
1705 |
+
"eval_loss": 0.003421561559662223,
|
1706 |
+
"eval_runtime": 47.2892,
|
1707 |
+
"eval_samples_per_second": 8.987,
|
1708 |
+
"eval_steps_per_second": 0.571,
|
1709 |
"step": 270
|
1710 |
},
|
1711 |
{
|
1712 |
+
"epoch": 10.04,
|
1713 |
"learning_rate": 0.0002,
|
1714 |
+
"loss": 0.0011,
|
1715 |
"step": 271
|
1716 |
},
|
1717 |
{
|
1718 |
+
"epoch": 10.07,
|
1719 |
"learning_rate": 0.0002,
|
1720 |
+
"loss": 0.0024,
|
1721 |
"step": 272
|
1722 |
},
|
1723 |
{
|
1724 |
+
"epoch": 10.11,
|
1725 |
"learning_rate": 0.0002,
|
1726 |
+
"loss": 0.0083,
|
1727 |
"step": 273
|
1728 |
},
|
1729 |
{
|
1730 |
+
"epoch": 10.15,
|
1731 |
"learning_rate": 0.0002,
|
1732 |
+
"loss": 0.0169,
|
1733 |
"step": 274
|
1734 |
},
|
1735 |
{
|
1736 |
+
"epoch": 10.19,
|
1737 |
"learning_rate": 0.0002,
|
1738 |
+
"loss": 0.0053,
|
1739 |
"step": 275
|
1740 |
},
|
1741 |
{
|
1742 |
+
"epoch": 10.22,
|
1743 |
"learning_rate": 0.0002,
|
1744 |
+
"loss": 0.0005,
|
1745 |
"step": 276
|
1746 |
},
|
1747 |
{
|
1748 |
+
"epoch": 10.26,
|
1749 |
"learning_rate": 0.0002,
|
1750 |
+
"loss": 0.0019,
|
1751 |
"step": 277
|
1752 |
},
|
1753 |
{
|
1754 |
+
"epoch": 10.3,
|
1755 |
"learning_rate": 0.0002,
|
1756 |
+
"loss": 0.0014,
|
1757 |
"step": 278
|
1758 |
},
|
1759 |
{
|
1760 |
+
"epoch": 10.33,
|
1761 |
"learning_rate": 0.0002,
|
1762 |
+
"loss": 0.0079,
|
1763 |
"step": 279
|
1764 |
},
|
1765 |
{
|
1766 |
+
"epoch": 10.37,
|
1767 |
"learning_rate": 0.0002,
|
1768 |
+
"loss": 0.0027,
|
1769 |
"step": 280
|
1770 |
},
|
1771 |
{
|
1772 |
+
"epoch": 10.41,
|
1773 |
+
"learning_rate": 0.0002,
|
1774 |
+
"loss": 0.0022,
|
1775 |
+
"step": 281
|
|
|
|
|
1776 |
},
|
1777 |
{
|
1778 |
+
"epoch": 10.44,
|
1779 |
+
"learning_rate": 0.0002,
|
1780 |
+
"loss": 0.0034,
|
1781 |
+
"step": 282
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 10.48,
|
1785 |
+
"learning_rate": 0.0002,
|
1786 |
+
"loss": 0.0133,
|
1787 |
+
"step": 283
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 10.52,
|
1791 |
+
"learning_rate": 0.0002,
|
1792 |
+
"loss": 0.0081,
|
1793 |
+
"step": 284
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 10.56,
|
1797 |
+
"learning_rate": 0.0002,
|
1798 |
+
"loss": 0.0017,
|
1799 |
+
"step": 285
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 10.59,
|
1803 |
+
"learning_rate": 0.0002,
|
1804 |
+
"loss": 0.0069,
|
1805 |
+
"step": 286
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 10.63,
|
1809 |
+
"learning_rate": 0.0002,
|
1810 |
+
"loss": 0.0026,
|
1811 |
+
"step": 287
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 10.67,
|
1815 |
+
"learning_rate": 0.0002,
|
1816 |
+
"loss": 0.0041,
|
1817 |
+
"step": 288
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 10.7,
|
1821 |
+
"learning_rate": 0.0002,
|
1822 |
+
"loss": 0.0062,
|
1823 |
+
"step": 289
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 10.74,
|
1827 |
+
"learning_rate": 0.0002,
|
1828 |
+
"loss": 0.0026,
|
1829 |
+
"step": 290
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 10.78,
|
1833 |
+
"learning_rate": 0.0002,
|
1834 |
+
"loss": 0.0016,
|
1835 |
+
"step": 291
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 10.81,
|
1839 |
+
"learning_rate": 0.0002,
|
1840 |
+
"loss": 0.0029,
|
1841 |
+
"step": 292
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 10.85,
|
1845 |
+
"learning_rate": 0.0002,
|
1846 |
+
"loss": 0.0011,
|
1847 |
+
"step": 293
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 10.89,
|
1851 |
+
"learning_rate": 0.0002,
|
1852 |
+
"loss": 0.0072,
|
1853 |
+
"step": 294
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 10.93,
|
1857 |
+
"learning_rate": 0.0002,
|
1858 |
+
"loss": 0.0009,
|
1859 |
+
"step": 295
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"epoch": 10.96,
|
1863 |
+
"learning_rate": 0.0002,
|
1864 |
+
"loss": 0.0023,
|
1865 |
+
"step": 296
|
1866 |
+
},
|
1867 |
+
{
|
1868 |
+
"epoch": 11.0,
|
1869 |
+
"learning_rate": 0.0002,
|
1870 |
+
"loss": 0.0118,
|
1871 |
+
"step": 297
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 11.0,
|
1875 |
+
"eval_loss": 0.003122739726677537,
|
1876 |
+
"eval_runtime": 47.2107,
|
1877 |
+
"eval_samples_per_second": 9.002,
|
1878 |
+
"eval_steps_per_second": 0.572,
|
1879 |
+
"step": 297
|
1880 |
+
},
|
1881 |
+
{
|
1882 |
+
"epoch": 11.04,
|
1883 |
+
"learning_rate": 0.0002,
|
1884 |
+
"loss": 0.0044,
|
1885 |
+
"step": 298
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 11.07,
|
1889 |
+
"learning_rate": 0.0002,
|
1890 |
+
"loss": 0.0064,
|
1891 |
+
"step": 299
|
1892 |
+
},
|
1893 |
+
{
|
1894 |
+
"epoch": 11.11,
|
1895 |
+
"learning_rate": 0.0002,
|
1896 |
+
"loss": 0.0008,
|
1897 |
+
"step": 300
|
1898 |
+
},
|
1899 |
+
{
|
1900 |
+
"epoch": 11.15,
|
1901 |
+
"learning_rate": 0.0002,
|
1902 |
+
"loss": 0.0101,
|
1903 |
+
"step": 301
|
1904 |
+
},
|
1905 |
+
{
|
1906 |
+
"epoch": 11.19,
|
1907 |
+
"learning_rate": 0.0002,
|
1908 |
+
"loss": 0.0041,
|
1909 |
+
"step": 302
|
1910 |
+
},
|
1911 |
+
{
|
1912 |
+
"epoch": 11.22,
|
1913 |
+
"learning_rate": 0.0002,
|
1914 |
+
"loss": 0.0089,
|
1915 |
+
"step": 303
|
1916 |
+
},
|
1917 |
+
{
|
1918 |
+
"epoch": 11.26,
|
1919 |
+
"learning_rate": 0.0002,
|
1920 |
+
"loss": 0.0105,
|
1921 |
+
"step": 304
|
1922 |
+
},
|
1923 |
+
{
|
1924 |
+
"epoch": 11.3,
|
1925 |
+
"learning_rate": 0.0002,
|
1926 |
+
"loss": 0.0044,
|
1927 |
+
"step": 305
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 11.33,
|
1931 |
+
"learning_rate": 0.0002,
|
1932 |
+
"loss": 0.0034,
|
1933 |
+
"step": 306
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"epoch": 11.37,
|
1937 |
+
"learning_rate": 0.0002,
|
1938 |
+
"loss": 0.0014,
|
1939 |
+
"step": 307
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 11.41,
|
1943 |
+
"learning_rate": 0.0002,
|
1944 |
+
"loss": 0.0021,
|
1945 |
+
"step": 308
|
1946 |
+
},
|
1947 |
+
{
|
1948 |
+
"epoch": 11.44,
|
1949 |
+
"learning_rate": 0.0002,
|
1950 |
+
"loss": 0.0044,
|
1951 |
+
"step": 309
|
1952 |
+
},
|
1953 |
+
{
|
1954 |
+
"epoch": 11.48,
|
1955 |
+
"learning_rate": 0.0002,
|
1956 |
+
"loss": 0.0077,
|
1957 |
+
"step": 310
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"epoch": 11.52,
|
1961 |
+
"learning_rate": 0.0002,
|
1962 |
+
"loss": 0.0151,
|
1963 |
+
"step": 311
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 11.56,
|
1967 |
+
"learning_rate": 0.0002,
|
1968 |
+
"loss": 0.002,
|
1969 |
+
"step": 312
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 11.59,
|
1973 |
+
"learning_rate": 0.0002,
|
1974 |
+
"loss": 0.0052,
|
1975 |
+
"step": 313
|
1976 |
+
},
|
1977 |
+
{
|
1978 |
+
"epoch": 11.63,
|
1979 |
+
"learning_rate": 0.0002,
|
1980 |
+
"loss": 0.0045,
|
1981 |
+
"step": 314
|
1982 |
+
},
|
1983 |
+
{
|
1984 |
+
"epoch": 11.67,
|
1985 |
+
"learning_rate": 0.0002,
|
1986 |
+
"loss": 0.007,
|
1987 |
+
"step": 315
|
1988 |
+
},
|
1989 |
+
{
|
1990 |
+
"epoch": 11.7,
|
1991 |
+
"learning_rate": 0.0002,
|
1992 |
+
"loss": 0.0035,
|
1993 |
+
"step": 316
|
1994 |
+
},
|
1995 |
+
{
|
1996 |
+
"epoch": 11.74,
|
1997 |
+
"learning_rate": 0.0002,
|
1998 |
+
"loss": 0.0014,
|
1999 |
+
"step": 317
|
2000 |
+
},
|
2001 |
+
{
|
2002 |
+
"epoch": 11.78,
|
2003 |
+
"learning_rate": 0.0002,
|
2004 |
+
"loss": 0.0071,
|
2005 |
+
"step": 318
|
2006 |
+
},
|
2007 |
+
{
|
2008 |
+
"epoch": 11.81,
|
2009 |
+
"learning_rate": 0.0002,
|
2010 |
+
"loss": 0.0044,
|
2011 |
+
"step": 319
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 11.85,
|
2015 |
+
"learning_rate": 0.0002,
|
2016 |
+
"loss": 0.0028,
|
2017 |
+
"step": 320
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 11.89,
|
2021 |
+
"learning_rate": 0.0002,
|
2022 |
+
"loss": 0.004,
|
2023 |
+
"step": 321
|
2024 |
+
},
|
2025 |
+
{
|
2026 |
+
"epoch": 11.93,
|
2027 |
+
"learning_rate": 0.0002,
|
2028 |
+
"loss": 0.0068,
|
2029 |
+
"step": 322
|
2030 |
+
},
|
2031 |
+
{
|
2032 |
+
"epoch": 11.96,
|
2033 |
+
"learning_rate": 0.0002,
|
2034 |
+
"loss": 0.0011,
|
2035 |
+
"step": 323
|
2036 |
+
},
|
2037 |
+
{
|
2038 |
+
"epoch": 12.0,
|
2039 |
+
"learning_rate": 0.0002,
|
2040 |
+
"loss": 0.0047,
|
2041 |
+
"step": 324
|
2042 |
+
},
|
2043 |
+
{
|
2044 |
+
"epoch": 12.0,
|
2045 |
+
"eval_loss": 0.005517904181033373,
|
2046 |
+
"eval_runtime": 47.2219,
|
2047 |
+
"eval_samples_per_second": 9.0,
|
2048 |
+
"eval_steps_per_second": 0.572,
|
2049 |
+
"step": 324
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 12.04,
|
2053 |
+
"learning_rate": 0.0002,
|
2054 |
+
"loss": 0.0302,
|
2055 |
+
"step": 325
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 12.07,
|
2059 |
+
"learning_rate": 0.0002,
|
2060 |
+
"loss": 0.0025,
|
2061 |
+
"step": 326
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 12.11,
|
2065 |
+
"learning_rate": 0.0002,
|
2066 |
+
"loss": 0.0011,
|
2067 |
+
"step": 327
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 12.15,
|
2071 |
+
"learning_rate": 0.0002,
|
2072 |
+
"loss": 0.0049,
|
2073 |
+
"step": 328
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 12.19,
|
2077 |
+
"learning_rate": 0.0002,
|
2078 |
+
"loss": 0.0082,
|
2079 |
+
"step": 329
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 12.22,
|
2083 |
+
"learning_rate": 0.0002,
|
2084 |
+
"loss": 0.0024,
|
2085 |
+
"step": 330
|
2086 |
+
},
|
2087 |
+
{
|
2088 |
+
"epoch": 12.26,
|
2089 |
+
"learning_rate": 0.0002,
|
2090 |
+
"loss": 0.0043,
|
2091 |
+
"step": 331
|
2092 |
+
},
|
2093 |
+
{
|
2094 |
+
"epoch": 12.3,
|
2095 |
+
"learning_rate": 0.0002,
|
2096 |
+
"loss": 0.0014,
|
2097 |
+
"step": 332
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 12.33,
|
2101 |
+
"learning_rate": 0.0002,
|
2102 |
+
"loss": 0.0025,
|
2103 |
+
"step": 333
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 12.37,
|
2107 |
+
"learning_rate": 0.0002,
|
2108 |
+
"loss": 0.0052,
|
2109 |
+
"step": 334
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 12.41,
|
2113 |
+
"learning_rate": 0.0002,
|
2114 |
+
"loss": 0.0142,
|
2115 |
+
"step": 335
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 12.44,
|
2119 |
+
"learning_rate": 0.0002,
|
2120 |
+
"loss": 0.005,
|
2121 |
+
"step": 336
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 12.48,
|
2125 |
+
"learning_rate": 0.0002,
|
2126 |
+
"loss": 0.0025,
|
2127 |
+
"step": 337
|
2128 |
+
},
|
2129 |
+
{
|
2130 |
+
"epoch": 12.52,
|
2131 |
+
"learning_rate": 0.0002,
|
2132 |
+
"loss": 0.0026,
|
2133 |
+
"step": 338
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 12.56,
|
2137 |
+
"learning_rate": 0.0002,
|
2138 |
+
"loss": 0.0021,
|
2139 |
+
"step": 339
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 12.59,
|
2143 |
+
"learning_rate": 0.0002,
|
2144 |
+
"loss": 0.0141,
|
2145 |
+
"step": 340
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 12.63,
|
2149 |
+
"learning_rate": 0.0002,
|
2150 |
+
"loss": 0.0067,
|
2151 |
+
"step": 341
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 12.67,
|
2155 |
+
"learning_rate": 0.0002,
|
2156 |
+
"loss": 0.0118,
|
2157 |
+
"step": 342
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 12.7,
|
2161 |
+
"learning_rate": 0.0002,
|
2162 |
+
"loss": 0.0044,
|
2163 |
+
"step": 343
|
2164 |
+
},
|
2165 |
+
{
|
2166 |
+
"epoch": 12.74,
|
2167 |
+
"learning_rate": 0.0002,
|
2168 |
+
"loss": 0.0028,
|
2169 |
+
"step": 344
|
2170 |
+
},
|
2171 |
+
{
|
2172 |
+
"epoch": 12.78,
|
2173 |
+
"learning_rate": 0.0002,
|
2174 |
+
"loss": 0.0017,
|
2175 |
+
"step": 345
|
2176 |
+
},
|
2177 |
+
{
|
2178 |
+
"epoch": 12.81,
|
2179 |
+
"learning_rate": 0.0002,
|
2180 |
+
"loss": 0.0073,
|
2181 |
+
"step": 346
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"epoch": 12.85,
|
2185 |
+
"learning_rate": 0.0002,
|
2186 |
+
"loss": 0.0098,
|
2187 |
+
"step": 347
|
2188 |
+
},
|
2189 |
+
{
|
2190 |
+
"epoch": 12.89,
|
2191 |
+
"learning_rate": 0.0002,
|
2192 |
+
"loss": 0.0063,
|
2193 |
+
"step": 348
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 12.93,
|
2197 |
+
"learning_rate": 0.0002,
|
2198 |
+
"loss": 0.0086,
|
2199 |
+
"step": 349
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 12.96,
|
2203 |
+
"learning_rate": 0.0002,
|
2204 |
+
"loss": 0.0032,
|
2205 |
+
"step": 350
|
2206 |
+
},
|
2207 |
+
{
|
2208 |
+
"epoch": 13.0,
|
2209 |
+
"learning_rate": 0.0002,
|
2210 |
+
"loss": 0.0036,
|
2211 |
+
"step": 351
|
2212 |
+
},
|
2213 |
+
{
|
2214 |
+
"epoch": 13.0,
|
2215 |
+
"eval_loss": 0.009773898869752884,
|
2216 |
+
"eval_runtime": 47.448,
|
2217 |
+
"eval_samples_per_second": 8.957,
|
2218 |
+
"eval_steps_per_second": 0.569,
|
2219 |
+
"step": 351
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"epoch": 13.04,
|
2223 |
+
"learning_rate": 0.0002,
|
2224 |
+
"loss": 0.0077,
|
2225 |
+
"step": 352
|
2226 |
+
},
|
2227 |
+
{
|
2228 |
+
"epoch": 13.07,
|
2229 |
+
"learning_rate": 0.0002,
|
2230 |
+
"loss": 0.004,
|
2231 |
+
"step": 353
|
2232 |
+
},
|
2233 |
+
{
|
2234 |
+
"epoch": 13.11,
|
2235 |
+
"learning_rate": 0.0002,
|
2236 |
+
"loss": 0.006,
|
2237 |
+
"step": 354
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"epoch": 13.15,
|
2241 |
+
"learning_rate": 0.0002,
|
2242 |
+
"loss": 0.0038,
|
2243 |
+
"step": 355
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 13.19,
|
2247 |
+
"learning_rate": 0.0002,
|
2248 |
+
"loss": 0.0021,
|
2249 |
+
"step": 356
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 13.22,
|
2253 |
+
"learning_rate": 0.0002,
|
2254 |
+
"loss": 0.0025,
|
2255 |
+
"step": 357
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 13.26,
|
2259 |
+
"learning_rate": 0.0002,
|
2260 |
+
"loss": 0.0021,
|
2261 |
+
"step": 358
|
2262 |
+
},
|
2263 |
+
{
|
2264 |
+
"epoch": 13.3,
|
2265 |
+
"learning_rate": 0.0002,
|
2266 |
+
"loss": 0.0061,
|
2267 |
+
"step": 359
|
2268 |
+
},
|
2269 |
+
{
|
2270 |
+
"epoch": 13.33,
|
2271 |
+
"learning_rate": 0.0002,
|
2272 |
+
"loss": 0.0031,
|
2273 |
+
"step": 360
|
2274 |
+
},
|
2275 |
+
{
|
2276 |
+
"epoch": 13.37,
|
2277 |
+
"learning_rate": 0.0002,
|
2278 |
+
"loss": 0.0072,
|
2279 |
+
"step": 361
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"epoch": 13.41,
|
2283 |
+
"learning_rate": 0.0002,
|
2284 |
+
"loss": 0.0033,
|
2285 |
+
"step": 362
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 13.44,
|
2289 |
+
"learning_rate": 0.0002,
|
2290 |
+
"loss": 0.0109,
|
2291 |
+
"step": 363
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 13.48,
|
2295 |
+
"learning_rate": 0.0002,
|
2296 |
+
"loss": 0.0018,
|
2297 |
+
"step": 364
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 13.52,
|
2301 |
+
"learning_rate": 0.0002,
|
2302 |
+
"loss": 0.0034,
|
2303 |
+
"step": 365
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 13.56,
|
2307 |
+
"learning_rate": 0.0002,
|
2308 |
+
"loss": 0.0012,
|
2309 |
+
"step": 366
|
2310 |
+
},
|
2311 |
+
{
|
2312 |
+
"epoch": 13.59,
|
2313 |
+
"learning_rate": 0.0002,
|
2314 |
+
"loss": 0.004,
|
2315 |
+
"step": 367
|
2316 |
+
},
|
2317 |
+
{
|
2318 |
+
"epoch": 13.63,
|
2319 |
+
"learning_rate": 0.0002,
|
2320 |
+
"loss": 0.0059,
|
2321 |
+
"step": 368
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"epoch": 13.67,
|
2325 |
+
"learning_rate": 0.0002,
|
2326 |
+
"loss": 0.0023,
|
2327 |
+
"step": 369
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 13.7,
|
2331 |
+
"learning_rate": 0.0002,
|
2332 |
+
"loss": 0.0038,
|
2333 |
+
"step": 370
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 13.74,
|
2337 |
+
"learning_rate": 0.0002,
|
2338 |
+
"loss": 0.0235,
|
2339 |
+
"step": 371
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 13.78,
|
2343 |
+
"learning_rate": 0.0002,
|
2344 |
+
"loss": 0.0039,
|
2345 |
+
"step": 372
|
2346 |
+
},
|
2347 |
+
{
|
2348 |
+
"epoch": 13.81,
|
2349 |
+
"learning_rate": 0.0002,
|
2350 |
+
"loss": 0.0033,
|
2351 |
+
"step": 373
|
2352 |
+
},
|
2353 |
+
{
|
2354 |
+
"epoch": 13.85,
|
2355 |
+
"learning_rate": 0.0002,
|
2356 |
+
"loss": 0.0043,
|
2357 |
+
"step": 374
|
2358 |
+
},
|
2359 |
+
{
|
2360 |
+
"epoch": 13.89,
|
2361 |
+
"learning_rate": 0.0002,
|
2362 |
+
"loss": 0.0024,
|
2363 |
+
"step": 375
|
2364 |
+
},
|
2365 |
+
{
|
2366 |
+
"epoch": 13.93,
|
2367 |
+
"learning_rate": 0.0002,
|
2368 |
+
"loss": 0.0029,
|
2369 |
+
"step": 376
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 13.96,
|
2373 |
+
"learning_rate": 0.0002,
|
2374 |
+
"loss": 0.0071,
|
2375 |
+
"step": 377
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 14.0,
|
2379 |
+
"learning_rate": 0.0002,
|
2380 |
+
"loss": 0.0023,
|
2381 |
+
"step": 378
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 14.0,
|
2385 |
+
"eval_loss": 0.0037905708886682987,
|
2386 |
+
"eval_runtime": 47.1152,
|
2387 |
+
"eval_samples_per_second": 9.02,
|
2388 |
+
"eval_steps_per_second": 0.573,
|
2389 |
+
"step": 378
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 14.04,
|
2393 |
+
"learning_rate": 0.0002,
|
2394 |
+
"loss": 0.0015,
|
2395 |
+
"step": 379
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 14.07,
|
2399 |
+
"learning_rate": 0.0002,
|
2400 |
+
"loss": 0.0018,
|
2401 |
+
"step": 380
|
2402 |
+
},
|
2403 |
+
{
|
2404 |
+
"epoch": 14.11,
|
2405 |
+
"learning_rate": 0.0002,
|
2406 |
+
"loss": 0.0086,
|
2407 |
+
"step": 381
|
2408 |
+
},
|
2409 |
+
{
|
2410 |
+
"epoch": 14.15,
|
2411 |
+
"learning_rate": 0.0002,
|
2412 |
+
"loss": 0.0025,
|
2413 |
+
"step": 382
|
2414 |
+
},
|
2415 |
+
{
|
2416 |
+
"epoch": 14.19,
|
2417 |
+
"learning_rate": 0.0002,
|
2418 |
+
"loss": 0.0066,
|
2419 |
+
"step": 383
|
2420 |
+
},
|
2421 |
+
{
|
2422 |
+
"epoch": 14.22,
|
2423 |
+
"learning_rate": 0.0002,
|
2424 |
+
"loss": 0.0018,
|
2425 |
+
"step": 384
|
2426 |
+
},
|
2427 |
+
{
|
2428 |
+
"epoch": 14.26,
|
2429 |
+
"learning_rate": 0.0002,
|
2430 |
+
"loss": 0.0032,
|
2431 |
+
"step": 385
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 14.3,
|
2435 |
+
"learning_rate": 0.0002,
|
2436 |
+
"loss": 0.0144,
|
2437 |
+
"step": 386
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 14.33,
|
2441 |
+
"learning_rate": 0.0002,
|
2442 |
+
"loss": 0.0047,
|
2443 |
+
"step": 387
|
2444 |
+
},
|
2445 |
+
{
|
2446 |
+
"epoch": 14.37,
|
2447 |
+
"learning_rate": 0.0002,
|
2448 |
+
"loss": 0.0064,
|
2449 |
+
"step": 388
|
2450 |
+
},
|
2451 |
+
{
|
2452 |
+
"epoch": 14.41,
|
2453 |
+
"learning_rate": 0.0002,
|
2454 |
+
"loss": 0.01,
|
2455 |
+
"step": 389
|
2456 |
+
},
|
2457 |
+
{
|
2458 |
+
"epoch": 14.44,
|
2459 |
+
"learning_rate": 0.0002,
|
2460 |
+
"loss": 0.0044,
|
2461 |
+
"step": 390
|
2462 |
+
},
|
2463 |
+
{
|
2464 |
+
"epoch": 14.48,
|
2465 |
+
"learning_rate": 0.0002,
|
2466 |
+
"loss": 0.0029,
|
2467 |
+
"step": 391
|
2468 |
+
},
|
2469 |
+
{
|
2470 |
+
"epoch": 14.52,
|
2471 |
+
"learning_rate": 0.0002,
|
2472 |
+
"loss": 0.0058,
|
2473 |
+
"step": 392
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 14.56,
|
2477 |
+
"learning_rate": 0.0002,
|
2478 |
+
"loss": 0.0048,
|
2479 |
+
"step": 393
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"epoch": 14.59,
|
2483 |
+
"learning_rate": 0.0002,
|
2484 |
+
"loss": 0.0075,
|
2485 |
+
"step": 394
|
2486 |
+
},
|
2487 |
+
{
|
2488 |
+
"epoch": 14.63,
|
2489 |
+
"learning_rate": 0.0002,
|
2490 |
+
"loss": 0.002,
|
2491 |
+
"step": 395
|
2492 |
+
},
|
2493 |
+
{
|
2494 |
+
"epoch": 14.67,
|
2495 |
+
"learning_rate": 0.0002,
|
2496 |
+
"loss": 0.007,
|
2497 |
+
"step": 396
|
2498 |
+
},
|
2499 |
+
{
|
2500 |
+
"epoch": 14.7,
|
2501 |
+
"learning_rate": 0.0002,
|
2502 |
+
"loss": 0.0017,
|
2503 |
+
"step": 397
|
2504 |
+
},
|
2505 |
+
{
|
2506 |
+
"epoch": 14.74,
|
2507 |
+
"learning_rate": 0.0002,
|
2508 |
+
"loss": 0.0079,
|
2509 |
+
"step": 398
|
2510 |
+
},
|
2511 |
+
{
|
2512 |
+
"epoch": 14.78,
|
2513 |
+
"learning_rate": 0.0002,
|
2514 |
+
"loss": 0.0115,
|
2515 |
+
"step": 399
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 14.81,
|
2519 |
+
"learning_rate": 0.0002,
|
2520 |
+
"loss": 0.005,
|
2521 |
+
"step": 400
|
2522 |
+
},
|
2523 |
+
{
|
2524 |
+
"epoch": 14.85,
|
2525 |
+
"learning_rate": 0.0002,
|
2526 |
+
"loss": 0.0144,
|
2527 |
+
"step": 401
|
2528 |
+
},
|
2529 |
+
{
|
2530 |
+
"epoch": 14.89,
|
2531 |
+
"learning_rate": 0.0002,
|
2532 |
+
"loss": 0.0135,
|
2533 |
+
"step": 402
|
2534 |
+
},
|
2535 |
+
{
|
2536 |
+
"epoch": 14.93,
|
2537 |
+
"learning_rate": 0.0002,
|
2538 |
+
"loss": 0.0055,
|
2539 |
+
"step": 403
|
2540 |
+
},
|
2541 |
+
{
|
2542 |
+
"epoch": 14.96,
|
2543 |
+
"learning_rate": 0.0002,
|
2544 |
+
"loss": 0.0072,
|
2545 |
+
"step": 404
|
2546 |
+
},
|
2547 |
+
{
|
2548 |
+
"epoch": 15.0,
|
2549 |
+
"learning_rate": 0.0002,
|
2550 |
+
"loss": 0.0173,
|
2551 |
+
"step": 405
|
2552 |
+
},
|
2553 |
+
{
|
2554 |
+
"epoch": 15.0,
|
2555 |
+
"eval_loss": 0.005711152218282223,
|
2556 |
+
"eval_runtime": 47.1229,
|
2557 |
+
"eval_samples_per_second": 9.019,
|
2558 |
+
"eval_steps_per_second": 0.573,
|
2559 |
+
"step": 405
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"epoch": 15.04,
|
2563 |
+
"learning_rate": 0.0002,
|
2564 |
+
"loss": 0.0016,
|
2565 |
+
"step": 406
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 15.07,
|
2569 |
+
"learning_rate": 0.0002,
|
2570 |
+
"loss": 0.0019,
|
2571 |
+
"step": 407
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 15.11,
|
2575 |
+
"learning_rate": 0.0002,
|
2576 |
+
"loss": 0.0065,
|
2577 |
+
"step": 408
|
2578 |
+
},
|
2579 |
+
{
|
2580 |
+
"epoch": 15.15,
|
2581 |
+
"learning_rate": 0.0002,
|
2582 |
+
"loss": 0.0093,
|
2583 |
+
"step": 409
|
2584 |
+
},
|
2585 |
+
{
|
2586 |
+
"epoch": 15.19,
|
2587 |
+
"learning_rate": 0.0002,
|
2588 |
+
"loss": 0.0164,
|
2589 |
+
"step": 410
|
2590 |
+
},
|
2591 |
+
{
|
2592 |
+
"epoch": 15.22,
|
2593 |
+
"learning_rate": 0.0002,
|
2594 |
+
"loss": 0.0108,
|
2595 |
+
"step": 411
|
2596 |
+
},
|
2597 |
+
{
|
2598 |
+
"epoch": 15.26,
|
2599 |
+
"learning_rate": 0.0002,
|
2600 |
+
"loss": 0.0022,
|
2601 |
+
"step": 412
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"epoch": 15.3,
|
2605 |
+
"learning_rate": 0.0002,
|
2606 |
+
"loss": 0.0044,
|
2607 |
+
"step": 413
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 15.33,
|
2611 |
+
"learning_rate": 0.0002,
|
2612 |
+
"loss": 0.0109,
|
2613 |
+
"step": 414
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 15.37,
|
2617 |
+
"learning_rate": 0.0002,
|
2618 |
+
"loss": 0.0066,
|
2619 |
+
"step": 415
|
2620 |
+
},
|
2621 |
+
{
|
2622 |
+
"epoch": 15.41,
|
2623 |
+
"learning_rate": 0.0002,
|
2624 |
+
"loss": 0.0027,
|
2625 |
+
"step": 416
|
2626 |
+
},
|
2627 |
+
{
|
2628 |
+
"epoch": 15.44,
|
2629 |
+
"learning_rate": 0.0002,
|
2630 |
+
"loss": 0.0123,
|
2631 |
+
"step": 417
|
2632 |
+
},
|
2633 |
+
{
|
2634 |
+
"epoch": 15.48,
|
2635 |
+
"learning_rate": 0.0002,
|
2636 |
+
"loss": 0.0041,
|
2637 |
+
"step": 418
|
2638 |
+
},
|
2639 |
+
{
|
2640 |
+
"epoch": 15.52,
|
2641 |
+
"learning_rate": 0.0002,
|
2642 |
+
"loss": 0.0064,
|
2643 |
+
"step": 419
|
2644 |
+
},
|
2645 |
+
{
|
2646 |
+
"epoch": 15.56,
|
2647 |
+
"learning_rate": 0.0002,
|
2648 |
+
"loss": 0.0098,
|
2649 |
+
"step": 420
|
2650 |
+
},
|
2651 |
+
{
|
2652 |
+
"epoch": 15.59,
|
2653 |
+
"learning_rate": 0.0002,
|
2654 |
+
"loss": 0.0038,
|
2655 |
+
"step": 421
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 15.63,
|
2659 |
+
"learning_rate": 0.0002,
|
2660 |
+
"loss": 0.0061,
|
2661 |
+
"step": 422
|
2662 |
+
},
|
2663 |
+
{
|
2664 |
+
"epoch": 15.67,
|
2665 |
+
"learning_rate": 0.0002,
|
2666 |
+
"loss": 0.006,
|
2667 |
+
"step": 423
|
2668 |
+
},
|
2669 |
+
{
|
2670 |
+
"epoch": 15.7,
|
2671 |
+
"learning_rate": 0.0002,
|
2672 |
+
"loss": 0.0027,
|
2673 |
+
"step": 424
|
2674 |
+
},
|
2675 |
+
{
|
2676 |
+
"epoch": 15.74,
|
2677 |
+
"learning_rate": 0.0002,
|
2678 |
+
"loss": 0.0047,
|
2679 |
+
"step": 425
|
2680 |
+
},
|
2681 |
+
{
|
2682 |
+
"epoch": 15.78,
|
2683 |
+
"learning_rate": 0.0002,
|
2684 |
+
"loss": 0.0064,
|
2685 |
+
"step": 426
|
2686 |
+
},
|
2687 |
+
{
|
2688 |
+
"epoch": 15.81,
|
2689 |
+
"learning_rate": 0.0002,
|
2690 |
+
"loss": 0.0046,
|
2691 |
+
"step": 427
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 15.85,
|
2695 |
+
"learning_rate": 0.0002,
|
2696 |
+
"loss": 0.0135,
|
2697 |
+
"step": 428
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 15.89,
|
2701 |
+
"learning_rate": 0.0002,
|
2702 |
+
"loss": 0.0062,
|
2703 |
+
"step": 429
|
2704 |
+
},
|
2705 |
+
{
|
2706 |
+
"epoch": 15.93,
|
2707 |
+
"learning_rate": 0.0002,
|
2708 |
+
"loss": 0.0081,
|
2709 |
+
"step": 430
|
2710 |
+
},
|
2711 |
+
{
|
2712 |
+
"epoch": 15.96,
|
2713 |
+
"learning_rate": 0.0002,
|
2714 |
+
"loss": 0.0052,
|
2715 |
+
"step": 431
|
2716 |
+
},
|
2717 |
+
{
|
2718 |
+
"epoch": 16.0,
|
2719 |
+
"learning_rate": 0.0002,
|
2720 |
+
"loss": 0.0088,
|
2721 |
+
"step": 432
|
2722 |
+
},
|
2723 |
+
{
|
2724 |
+
"epoch": 16.0,
|
2725 |
+
"eval_loss": 0.010112026706337929,
|
2726 |
+
"eval_runtime": 47.2751,
|
2727 |
+
"eval_samples_per_second": 8.99,
|
2728 |
+
"eval_steps_per_second": 0.571,
|
2729 |
+
"step": 432
|
2730 |
+
},
|
2731 |
+
{
|
2732 |
+
"epoch": 16.04,
|
2733 |
+
"learning_rate": 0.0002,
|
2734 |
+
"loss": 0.011,
|
2735 |
+
"step": 433
|
2736 |
+
},
|
2737 |
+
{
|
2738 |
+
"epoch": 16.07,
|
2739 |
+
"learning_rate": 0.0002,
|
2740 |
+
"loss": 0.0029,
|
2741 |
+
"step": 434
|
2742 |
+
},
|
2743 |
+
{
|
2744 |
+
"epoch": 16.11,
|
2745 |
+
"learning_rate": 0.0002,
|
2746 |
+
"loss": 0.0149,
|
2747 |
+
"step": 435
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 16.15,
|
2751 |
+
"learning_rate": 0.0002,
|
2752 |
+
"loss": 0.0112,
|
2753 |
+
"step": 436
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 16.19,
|
2757 |
+
"learning_rate": 0.0002,
|
2758 |
+
"loss": 0.0171,
|
2759 |
+
"step": 437
|
2760 |
+
},
|
2761 |
+
{
|
2762 |
+
"epoch": 16.22,
|
2763 |
+
"learning_rate": 0.0002,
|
2764 |
+
"loss": 0.0081,
|
2765 |
+
"step": 438
|
2766 |
+
},
|
2767 |
+
{
|
2768 |
+
"epoch": 16.26,
|
2769 |
+
"learning_rate": 0.0002,
|
2770 |
+
"loss": 0.0101,
|
2771 |
+
"step": 439
|
2772 |
+
},
|
2773 |
+
{
|
2774 |
+
"epoch": 16.3,
|
2775 |
+
"learning_rate": 0.0002,
|
2776 |
+
"loss": 0.0143,
|
2777 |
+
"step": 440
|
2778 |
+
},
|
2779 |
+
{
|
2780 |
+
"epoch": 16.33,
|
2781 |
+
"learning_rate": 0.0002,
|
2782 |
+
"loss": 0.0088,
|
2783 |
+
"step": 441
|
2784 |
+
},
|
2785 |
+
{
|
2786 |
+
"epoch": 16.37,
|
2787 |
+
"learning_rate": 0.0002,
|
2788 |
+
"loss": 0.0052,
|
2789 |
+
"step": 442
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 16.41,
|
2793 |
+
"learning_rate": 0.0002,
|
2794 |
+
"loss": 0.0133,
|
2795 |
+
"step": 443
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 16.44,
|
2799 |
+
"learning_rate": 0.0002,
|
2800 |
+
"loss": 0.0096,
|
2801 |
+
"step": 444
|
2802 |
+
},
|
2803 |
+
{
|
2804 |
+
"epoch": 16.48,
|
2805 |
+
"learning_rate": 0.0002,
|
2806 |
+
"loss": 0.0058,
|
2807 |
+
"step": 445
|
2808 |
+
},
|
2809 |
+
{
|
2810 |
+
"epoch": 16.52,
|
2811 |
+
"learning_rate": 0.0002,
|
2812 |
+
"loss": 0.0112,
|
2813 |
+
"step": 446
|
2814 |
+
},
|
2815 |
+
{
|
2816 |
+
"epoch": 16.56,
|
2817 |
+
"learning_rate": 0.0002,
|
2818 |
+
"loss": 0.0077,
|
2819 |
+
"step": 447
|
2820 |
+
},
|
2821 |
+
{
|
2822 |
+
"epoch": 16.59,
|
2823 |
+
"learning_rate": 0.0002,
|
2824 |
+
"loss": 0.0154,
|
2825 |
+
"step": 448
|
2826 |
+
},
|
2827 |
+
{
|
2828 |
+
"epoch": 16.63,
|
2829 |
+
"learning_rate": 0.0002,
|
2830 |
+
"loss": 0.0077,
|
2831 |
+
"step": 449
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 16.67,
|
2835 |
+
"learning_rate": 0.0002,
|
2836 |
+
"loss": 0.005,
|
2837 |
+
"step": 450
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 16.7,
|
2841 |
+
"learning_rate": 0.0002,
|
2842 |
+
"loss": 0.0071,
|
2843 |
+
"step": 451
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"epoch": 16.74,
|
2847 |
+
"learning_rate": 0.0002,
|
2848 |
+
"loss": 0.0044,
|
2849 |
+
"step": 452
|
2850 |
+
},
|
2851 |
+
{
|
2852 |
+
"epoch": 16.78,
|
2853 |
+
"learning_rate": 0.0002,
|
2854 |
+
"loss": 0.0073,
|
2855 |
+
"step": 453
|
2856 |
+
},
|
2857 |
+
{
|
2858 |
+
"epoch": 16.81,
|
2859 |
+
"learning_rate": 0.0002,
|
2860 |
+
"loss": 0.0121,
|
2861 |
+
"step": 454
|
2862 |
+
},
|
2863 |
+
{
|
2864 |
+
"epoch": 16.85,
|
2865 |
+
"learning_rate": 0.0002,
|
2866 |
+
"loss": 0.0038,
|
2867 |
+
"step": 455
|
2868 |
+
},
|
2869 |
+
{
|
2870 |
+
"epoch": 16.89,
|
2871 |
+
"learning_rate": 0.0002,
|
2872 |
+
"loss": 0.01,
|
2873 |
+
"step": 456
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 16.93,
|
2877 |
+
"learning_rate": 0.0002,
|
2878 |
+
"loss": 0.0065,
|
2879 |
+
"step": 457
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 16.96,
|
2883 |
+
"learning_rate": 0.0002,
|
2884 |
+
"loss": 0.0083,
|
2885 |
+
"step": 458
|
2886 |
+
},
|
2887 |
+
{
|
2888 |
+
"epoch": 17.0,
|
2889 |
+
"learning_rate": 0.0002,
|
2890 |
+
"loss": 0.0225,
|
2891 |
+
"step": 459
|
2892 |
+
},
|
2893 |
+
{
|
2894 |
+
"epoch": 17.0,
|
2895 |
+
"eval_loss": 0.007242174353450537,
|
2896 |
+
"eval_runtime": 47.1989,
|
2897 |
+
"eval_samples_per_second": 9.004,
|
2898 |
+
"eval_steps_per_second": 0.572,
|
2899 |
+
"step": 459
|
2900 |
+
},
|
2901 |
+
{
|
2902 |
+
"epoch": 17.04,
|
2903 |
+
"learning_rate": 0.0002,
|
2904 |
+
"loss": 0.0058,
|
2905 |
+
"step": 460
|
2906 |
+
},
|
2907 |
+
{
|
2908 |
+
"epoch": 17.07,
|
2909 |
+
"learning_rate": 0.0002,
|
2910 |
+
"loss": 0.0111,
|
2911 |
+
"step": 461
|
2912 |
+
},
|
2913 |
+
{
|
2914 |
+
"epoch": 17.11,
|
2915 |
+
"learning_rate": 0.0002,
|
2916 |
+
"loss": 0.006,
|
2917 |
+
"step": 462
|
2918 |
+
},
|
2919 |
+
{
|
2920 |
+
"epoch": 17.15,
|
2921 |
+
"learning_rate": 0.0002,
|
2922 |
+
"loss": 0.004,
|
2923 |
+
"step": 463
|
2924 |
+
},
|
2925 |
+
{
|
2926 |
+
"epoch": 17.19,
|
2927 |
+
"learning_rate": 0.0002,
|
2928 |
+
"loss": 0.0144,
|
2929 |
+
"step": 464
|
2930 |
+
},
|
2931 |
+
{
|
2932 |
+
"epoch": 17.22,
|
2933 |
+
"learning_rate": 0.0002,
|
2934 |
+
"loss": 0.0106,
|
2935 |
+
"step": 465
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 17.26,
|
2939 |
+
"learning_rate": 0.0002,
|
2940 |
+
"loss": 0.0074,
|
2941 |
+
"step": 466
|
2942 |
+
},
|
2943 |
+
{
|
2944 |
+
"epoch": 17.3,
|
2945 |
+
"learning_rate": 0.0002,
|
2946 |
+
"loss": 0.0165,
|
2947 |
+
"step": 467
|
2948 |
+
},
|
2949 |
+
{
|
2950 |
+
"epoch": 17.33,
|
2951 |
+
"learning_rate": 0.0002,
|
2952 |
+
"loss": 0.0034,
|
2953 |
+
"step": 468
|
2954 |
+
},
|
2955 |
+
{
|
2956 |
+
"epoch": 17.37,
|
2957 |
+
"learning_rate": 0.0002,
|
2958 |
+
"loss": 0.0054,
|
2959 |
+
"step": 469
|
2960 |
+
},
|
2961 |
+
{
|
2962 |
+
"epoch": 17.41,
|
2963 |
+
"learning_rate": 0.0002,
|
2964 |
+
"loss": 0.0225,
|
2965 |
+
"step": 470
|
2966 |
+
},
|
2967 |
+
{
|
2968 |
+
"epoch": 17.44,
|
2969 |
+
"learning_rate": 0.0002,
|
2970 |
+
"loss": 0.006,
|
2971 |
+
"step": 471
|
2972 |
+
},
|
2973 |
+
{
|
2974 |
+
"epoch": 17.48,
|
2975 |
+
"learning_rate": 0.0002,
|
2976 |
+
"loss": 0.0049,
|
2977 |
+
"step": 472
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 17.52,
|
2981 |
+
"learning_rate": 0.0002,
|
2982 |
+
"loss": 0.0132,
|
2983 |
+
"step": 473
|
2984 |
+
},
|
2985 |
+
{
|
2986 |
+
"epoch": 17.56,
|
2987 |
+
"learning_rate": 0.0002,
|
2988 |
+
"loss": 0.0097,
|
2989 |
+
"step": 474
|
2990 |
+
},
|
2991 |
+
{
|
2992 |
+
"epoch": 17.59,
|
2993 |
+
"learning_rate": 0.0002,
|
2994 |
+
"loss": 0.0268,
|
2995 |
+
"step": 475
|
2996 |
+
},
|
2997 |
+
{
|
2998 |
+
"epoch": 17.63,
|
2999 |
+
"learning_rate": 0.0002,
|
3000 |
+
"loss": 0.0198,
|
3001 |
+
"step": 476
|
3002 |
+
},
|
3003 |
+
{
|
3004 |
+
"epoch": 17.67,
|
3005 |
+
"learning_rate": 0.0002,
|
3006 |
+
"loss": 0.0047,
|
3007 |
+
"step": 477
|
3008 |
+
},
|
3009 |
+
{
|
3010 |
+
"epoch": 17.7,
|
3011 |
+
"learning_rate": 0.0002,
|
3012 |
+
"loss": 0.0082,
|
3013 |
+
"step": 478
|
3014 |
+
},
|
3015 |
+
{
|
3016 |
+
"epoch": 17.74,
|
3017 |
+
"learning_rate": 0.0002,
|
3018 |
+
"loss": 0.0032,
|
3019 |
+
"step": 479
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 17.78,
|
3023 |
+
"learning_rate": 0.0002,
|
3024 |
+
"loss": 0.0165,
|
3025 |
+
"step": 480
|
3026 |
+
},
|
3027 |
+
{
|
3028 |
+
"epoch": 17.81,
|
3029 |
+
"learning_rate": 0.0002,
|
3030 |
+
"loss": 0.0104,
|
3031 |
+
"step": 481
|
3032 |
+
},
|
3033 |
+
{
|
3034 |
+
"epoch": 17.85,
|
3035 |
+
"learning_rate": 0.0002,
|
3036 |
+
"loss": 0.0143,
|
3037 |
+
"step": 482
|
3038 |
+
},
|
3039 |
+
{
|
3040 |
+
"epoch": 17.89,
|
3041 |
+
"learning_rate": 0.0002,
|
3042 |
+
"loss": 0.0088,
|
3043 |
+
"step": 483
|
3044 |
+
},
|
3045 |
+
{
|
3046 |
+
"epoch": 17.93,
|
3047 |
+
"learning_rate": 0.0002,
|
3048 |
+
"loss": 0.0175,
|
3049 |
+
"step": 484
|
3050 |
+
},
|
3051 |
+
{
|
3052 |
+
"epoch": 17.96,
|
3053 |
+
"learning_rate": 0.0002,
|
3054 |
+
"loss": 0.0078,
|
3055 |
+
"step": 485
|
3056 |
+
},
|
3057 |
+
{
|
3058 |
+
"epoch": 18.0,
|
3059 |
+
"learning_rate": 0.0002,
|
3060 |
+
"loss": 0.005,
|
3061 |
+
"step": 486
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 18.0,
|
3065 |
+
"eval_loss": 0.009182516485452652,
|
3066 |
+
"eval_runtime": 47.3085,
|
3067 |
+
"eval_samples_per_second": 8.984,
|
3068 |
+
"eval_steps_per_second": 0.571,
|
3069 |
+
"step": 486
|
3070 |
+
},
|
3071 |
+
{
|
3072 |
+
"epoch": 18.04,
|
3073 |
+
"learning_rate": 0.0002,
|
3074 |
+
"loss": 0.0114,
|
3075 |
+
"step": 487
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 18.07,
|
3079 |
+
"learning_rate": 0.0002,
|
3080 |
+
"loss": 0.0045,
|
3081 |
+
"step": 488
|
3082 |
+
},
|
3083 |
+
{
|
3084 |
+
"epoch": 18.11,
|
3085 |
+
"learning_rate": 0.0002,
|
3086 |
+
"loss": 0.0177,
|
3087 |
+
"step": 489
|
3088 |
+
},
|
3089 |
+
{
|
3090 |
+
"epoch": 18.15,
|
3091 |
+
"learning_rate": 0.0002,
|
3092 |
+
"loss": 0.0085,
|
3093 |
+
"step": 490
|
3094 |
+
},
|
3095 |
+
{
|
3096 |
+
"epoch": 18.19,
|
3097 |
+
"learning_rate": 0.0002,
|
3098 |
+
"loss": 0.0136,
|
3099 |
+
"step": 491
|
3100 |
+
},
|
3101 |
+
{
|
3102 |
+
"epoch": 18.22,
|
3103 |
+
"learning_rate": 0.0002,
|
3104 |
+
"loss": 0.0243,
|
3105 |
+
"step": 492
|
3106 |
+
},
|
3107 |
+
{
|
3108 |
+
"epoch": 18.26,
|
3109 |
+
"learning_rate": 0.0002,
|
3110 |
+
"loss": 0.023,
|
3111 |
+
"step": 493
|
3112 |
+
},
|
3113 |
+
{
|
3114 |
+
"epoch": 18.3,
|
3115 |
+
"learning_rate": 0.0002,
|
3116 |
+
"loss": 0.007,
|
3117 |
+
"step": 494
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 18.33,
|
3121 |
+
"learning_rate": 0.0002,
|
3122 |
+
"loss": 0.0112,
|
3123 |
+
"step": 495
|
3124 |
+
},
|
3125 |
+
{
|
3126 |
+
"epoch": 18.37,
|
3127 |
+
"learning_rate": 0.0002,
|
3128 |
+
"loss": 0.0082,
|
3129 |
+
"step": 496
|
3130 |
+
},
|
3131 |
+
{
|
3132 |
+
"epoch": 18.41,
|
3133 |
+
"learning_rate": 0.0002,
|
3134 |
+
"loss": 0.0101,
|
3135 |
+
"step": 497
|
3136 |
+
},
|
3137 |
+
{
|
3138 |
+
"epoch": 18.44,
|
3139 |
+
"learning_rate": 0.0002,
|
3140 |
+
"loss": 0.0125,
|
3141 |
+
"step": 498
|
3142 |
+
},
|
3143 |
+
{
|
3144 |
+
"epoch": 18.48,
|
3145 |
+
"learning_rate": 0.0002,
|
3146 |
+
"loss": 0.0114,
|
3147 |
+
"step": 499
|
3148 |
+
},
|
3149 |
+
{
|
3150 |
+
"epoch": 18.52,
|
3151 |
+
"learning_rate": 0.0002,
|
3152 |
+
"loss": 0.0194,
|
3153 |
+
"step": 500
|
3154 |
+
},
|
3155 |
+
{
|
3156 |
+
"epoch": 18.56,
|
3157 |
+
"learning_rate": 0.0002,
|
3158 |
+
"loss": 0.017,
|
3159 |
+
"step": 501
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 18.59,
|
3163 |
+
"learning_rate": 0.0002,
|
3164 |
+
"loss": 0.0078,
|
3165 |
+
"step": 502
|
3166 |
+
},
|
3167 |
+
{
|
3168 |
+
"epoch": 18.63,
|
3169 |
+
"learning_rate": 0.0002,
|
3170 |
+
"loss": 0.015,
|
3171 |
+
"step": 503
|
3172 |
+
},
|
3173 |
+
{
|
3174 |
+
"epoch": 18.67,
|
3175 |
+
"learning_rate": 0.0002,
|
3176 |
+
"loss": 0.0311,
|
3177 |
+
"step": 504
|
3178 |
+
},
|
3179 |
+
{
|
3180 |
+
"epoch": 18.7,
|
3181 |
+
"learning_rate": 0.0002,
|
3182 |
+
"loss": 0.0105,
|
3183 |
+
"step": 505
|
3184 |
+
},
|
3185 |
+
{
|
3186 |
+
"epoch": 18.74,
|
3187 |
+
"learning_rate": 0.0002,
|
3188 |
+
"loss": 0.0161,
|
3189 |
+
"step": 506
|
3190 |
+
},
|
3191 |
+
{
|
3192 |
+
"epoch": 18.78,
|
3193 |
+
"learning_rate": 0.0002,
|
3194 |
+
"loss": 0.0074,
|
3195 |
+
"step": 507
|
3196 |
+
},
|
3197 |
+
{
|
3198 |
+
"epoch": 18.81,
|
3199 |
+
"learning_rate": 0.0002,
|
3200 |
+
"loss": 0.0089,
|
3201 |
+
"step": 508
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 18.85,
|
3205 |
+
"learning_rate": 0.0002,
|
3206 |
+
"loss": 0.0187,
|
3207 |
+
"step": 509
|
3208 |
+
},
|
3209 |
+
{
|
3210 |
+
"epoch": 18.89,
|
3211 |
+
"learning_rate": 0.0002,
|
3212 |
+
"loss": 0.005,
|
3213 |
+
"step": 510
|
3214 |
+
},
|
3215 |
+
{
|
3216 |
+
"epoch": 18.93,
|
3217 |
+
"learning_rate": 0.0002,
|
3218 |
+
"loss": 0.0042,
|
3219 |
+
"step": 511
|
3220 |
+
},
|
3221 |
+
{
|
3222 |
+
"epoch": 18.96,
|
3223 |
+
"learning_rate": 0.0002,
|
3224 |
+
"loss": 0.0085,
|
3225 |
+
"step": 512
|
3226 |
+
},
|
3227 |
+
{
|
3228 |
+
"epoch": 19.0,
|
3229 |
+
"learning_rate": 0.0002,
|
3230 |
+
"loss": 0.0084,
|
3231 |
+
"step": 513
|
3232 |
+
},
|
3233 |
+
{
|
3234 |
+
"epoch": 19.0,
|
3235 |
+
"eval_loss": 0.007577252574265003,
|
3236 |
+
"eval_runtime": 47.331,
|
3237 |
+
"eval_samples_per_second": 8.979,
|
3238 |
+
"eval_steps_per_second": 0.57,
|
3239 |
+
"step": 513
|
3240 |
+
},
|
3241 |
+
{
|
3242 |
+
"epoch": 19.04,
|
3243 |
+
"learning_rate": 0.0002,
|
3244 |
+
"loss": 0.0047,
|
3245 |
+
"step": 514
|
3246 |
+
},
|
3247 |
+
{
|
3248 |
+
"epoch": 19.07,
|
3249 |
+
"learning_rate": 0.0002,
|
3250 |
+
"loss": 0.0119,
|
3251 |
+
"step": 515
|
3252 |
+
},
|
3253 |
+
{
|
3254 |
+
"epoch": 19.11,
|
3255 |
+
"learning_rate": 0.0002,
|
3256 |
+
"loss": 0.0224,
|
3257 |
+
"step": 516
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 19.15,
|
3261 |
+
"learning_rate": 0.0002,
|
3262 |
+
"loss": 0.0079,
|
3263 |
+
"step": 517
|
3264 |
+
},
|
3265 |
+
{
|
3266 |
+
"epoch": 19.19,
|
3267 |
+
"learning_rate": 0.0002,
|
3268 |
+
"loss": 0.0055,
|
3269 |
+
"step": 518
|
3270 |
+
},
|
3271 |
+
{
|
3272 |
+
"epoch": 19.22,
|
3273 |
+
"learning_rate": 0.0002,
|
3274 |
+
"loss": 0.0091,
|
3275 |
+
"step": 519
|
3276 |
+
},
|
3277 |
+
{
|
3278 |
+
"epoch": 19.26,
|
3279 |
+
"learning_rate": 0.0002,
|
3280 |
+
"loss": 0.0111,
|
3281 |
+
"step": 520
|
3282 |
+
},
|
3283 |
+
{
|
3284 |
+
"epoch": 19.3,
|
3285 |
+
"learning_rate": 0.0002,
|
3286 |
+
"loss": 0.0181,
|
3287 |
+
"step": 521
|
3288 |
+
},
|
3289 |
+
{
|
3290 |
+
"epoch": 19.33,
|
3291 |
+
"learning_rate": 0.0002,
|
3292 |
+
"loss": 0.0099,
|
3293 |
+
"step": 522
|
3294 |
+
},
|
3295 |
+
{
|
3296 |
+
"epoch": 19.37,
|
3297 |
+
"learning_rate": 0.0002,
|
3298 |
+
"loss": 0.0134,
|
3299 |
+
"step": 523
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 19.41,
|
3303 |
+
"learning_rate": 0.0002,
|
3304 |
+
"loss": 0.0073,
|
3305 |
+
"step": 524
|
3306 |
+
},
|
3307 |
+
{
|
3308 |
+
"epoch": 19.44,
|
3309 |
+
"learning_rate": 0.0002,
|
3310 |
+
"loss": 0.0146,
|
3311 |
+
"step": 525
|
3312 |
+
},
|
3313 |
+
{
|
3314 |
+
"epoch": 19.48,
|
3315 |
+
"learning_rate": 0.0002,
|
3316 |
+
"loss": 0.0089,
|
3317 |
+
"step": 526
|
3318 |
+
},
|
3319 |
+
{
|
3320 |
+
"epoch": 19.52,
|
3321 |
+
"learning_rate": 0.0002,
|
3322 |
+
"loss": 0.01,
|
3323 |
+
"step": 527
|
3324 |
+
},
|
3325 |
+
{
|
3326 |
+
"epoch": 19.56,
|
3327 |
+
"learning_rate": 0.0002,
|
3328 |
+
"loss": 0.0134,
|
3329 |
+
"step": 528
|
3330 |
+
},
|
3331 |
+
{
|
3332 |
+
"epoch": 19.59,
|
3333 |
+
"learning_rate": 0.0002,
|
3334 |
+
"loss": 0.0097,
|
3335 |
+
"step": 529
|
3336 |
+
},
|
3337 |
+
{
|
3338 |
+
"epoch": 19.63,
|
3339 |
+
"learning_rate": 0.0002,
|
3340 |
+
"loss": 0.0061,
|
3341 |
+
"step": 530
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 19.67,
|
3345 |
+
"learning_rate": 0.0002,
|
3346 |
+
"loss": 0.0169,
|
3347 |
+
"step": 531
|
3348 |
+
},
|
3349 |
+
{
|
3350 |
+
"epoch": 19.7,
|
3351 |
+
"learning_rate": 0.0002,
|
3352 |
+
"loss": 0.0051,
|
3353 |
+
"step": 532
|
3354 |
+
},
|
3355 |
+
{
|
3356 |
+
"epoch": 19.74,
|
3357 |
+
"learning_rate": 0.0002,
|
3358 |
+
"loss": 0.0066,
|
3359 |
+
"step": 533
|
3360 |
+
},
|
3361 |
+
{
|
3362 |
+
"epoch": 19.78,
|
3363 |
+
"learning_rate": 0.0002,
|
3364 |
+
"loss": 0.0082,
|
3365 |
+
"step": 534
|
3366 |
+
},
|
3367 |
+
{
|
3368 |
+
"epoch": 19.81,
|
3369 |
+
"learning_rate": 0.0002,
|
3370 |
+
"loss": 0.0107,
|
3371 |
+
"step": 535
|
3372 |
+
},
|
3373 |
+
{
|
3374 |
+
"epoch": 19.85,
|
3375 |
+
"learning_rate": 0.0002,
|
3376 |
+
"loss": 0.006,
|
3377 |
+
"step": 536
|
3378 |
+
},
|
3379 |
+
{
|
3380 |
+
"epoch": 19.89,
|
3381 |
+
"learning_rate": 0.0002,
|
3382 |
+
"loss": 0.018,
|
3383 |
+
"step": 537
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 19.93,
|
3387 |
+
"learning_rate": 0.0002,
|
3388 |
+
"loss": 0.003,
|
3389 |
+
"step": 538
|
3390 |
+
},
|
3391 |
+
{
|
3392 |
+
"epoch": 19.96,
|
3393 |
+
"learning_rate": 0.0002,
|
3394 |
+
"loss": 0.0097,
|
3395 |
+
"step": 539
|
3396 |
+
},
|
3397 |
+
{
|
3398 |
+
"epoch": 20.0,
|
3399 |
+
"learning_rate": 0.0002,
|
3400 |
+
"loss": 0.0097,
|
3401 |
+
"step": 540
|
3402 |
+
},
|
3403 |
+
{
|
3404 |
+
"epoch": 20.0,
|
3405 |
+
"eval_loss": 0.004909743554890156,
|
3406 |
+
"eval_runtime": 47.2253,
|
3407 |
+
"eval_samples_per_second": 8.999,
|
3408 |
+
"eval_steps_per_second": 0.572,
|
3409 |
+
"step": 540
|
3410 |
+
},
|
3411 |
+
{
|
3412 |
+
"epoch": 20.0,
|
3413 |
+
"step": 540,
|
3414 |
+
"total_flos": 8.143219945845555e+17,
|
3415 |
+
"train_loss": 0.04946827840489008,
|
3416 |
+
"train_runtime": 6620.4406,
|
3417 |
+
"train_samples_per_second": 1.284,
|
3418 |
+
"train_steps_per_second": 0.082
|
3419 |
}
|
3420 |
],
|
3421 |
"logging_steps": 1.0,
|
3422 |
+
"max_steps": 540,
|
3423 |
"num_input_tokens_seen": 0,
|
3424 |
+
"num_train_epochs": 20,
|
3425 |
"save_steps": 50000,
|
3426 |
+
"total_flos": 8.143219945845555e+17,
|
3427 |
"train_batch_size": 4,
|
3428 |
"trial_name": null,
|
3429 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:50cb5a00a127d1119065ece76ebb6a418997be0a1112d98e0d65d26e43d05e19
|
3 |
+
size 6776
|