adams-story
commited on
Commit
·
2413bcf
1
Parent(s):
a17012a
End of training
Browse files- README.md +3 -1
- all_results.json +4 -4
- preprocessor_config.json +3 -3
- train_results.json +4 -4
- trainer_state.json +1190 -176
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
base_model: openai/clip-vit-large-patch14-336
|
3 |
tags:
|
4 |
- generated_from_trainer
|
|
|
|
|
5 |
model-index:
|
6 |
- name: out
|
7 |
results: []
|
@@ -12,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
12 |
|
13 |
# out
|
14 |
|
15 |
-
This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on
|
16 |
|
17 |
## Model description
|
18 |
|
|
|
2 |
base_model: openai/clip-vit-large-patch14-336
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
+
datasets:
|
6 |
+
- laion/dalle-3-dataset
|
7 |
model-index:
|
8 |
- name: out
|
9 |
results: []
|
|
|
14 |
|
15 |
# out
|
16 |
|
17 |
+
This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on the laion/dalle-3-dataset dataset.
|
18 |
|
19 |
## Model description
|
20 |
|
all_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.03423183325136451,
|
4 |
+
"train_runtime": 739.225,
|
5 |
+
"train_samples_per_second": 14.565,
|
6 |
+
"train_steps_per_second": 0.456
|
7 |
}
|
preprocessor_config.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"crop_size": {
|
3 |
-
"height":
|
4 |
-
"width":
|
5 |
},
|
6 |
"do_center_crop": true,
|
7 |
"do_convert_rgb": true,
|
@@ -22,7 +22,7 @@
|
|
22 |
"resample": 3,
|
23 |
"rescale_factor": 0.00392156862745098,
|
24 |
"size": {
|
25 |
-
"shortest_edge":
|
26 |
},
|
27 |
"use_square_size": false
|
28 |
}
|
|
|
1 |
{
|
2 |
"crop_size": {
|
3 |
+
"height": 336,
|
4 |
+
"width": 336
|
5 |
},
|
6 |
"do_center_crop": true,
|
7 |
"do_convert_rgb": true,
|
|
|
22 |
"resample": 3,
|
23 |
"rescale_factor": 0.00392156862745098,
|
24 |
"size": {
|
25 |
+
"shortest_edge": 336
|
26 |
},
|
27 |
"use_square_size": false
|
28 |
}
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"train_loss": 0.03423183325136451,
|
4 |
+
"train_runtime": 739.225,
|
5 |
+
"train_samples_per_second": 14.565,
|
6 |
+
"train_steps_per_second": 0.456
|
7 |
}
|
trainer_state.json
CHANGED
@@ -8,1029 +8,2043 @@
|
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
{
|
12 |
"epoch": 0.01,
|
13 |
"learning_rate": 0.0003,
|
14 |
-
"loss": 0.
|
15 |
"step": 2
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.01,
|
19 |
"learning_rate": 0.0003,
|
20 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
21 |
"step": 4
|
22 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
23 |
{
|
24 |
"epoch": 0.02,
|
25 |
"learning_rate": 0.0003,
|
26 |
-
"loss": 0.
|
27 |
"step": 6
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.02,
|
31 |
"learning_rate": 0.0003,
|
32 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
33 |
"step": 8
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.03,
|
37 |
"learning_rate": 0.0003,
|
38 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
39 |
"step": 10
|
40 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
41 |
{
|
42 |
"epoch": 0.04,
|
43 |
"learning_rate": 0.0003,
|
44 |
-
"loss": 0.
|
45 |
"step": 12
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.04,
|
49 |
"learning_rate": 0.0003,
|
50 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
"step": 14
|
52 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
53 |
{
|
54 |
"epoch": 0.05,
|
55 |
"learning_rate": 0.0003,
|
56 |
-
"loss": 0.
|
57 |
"step": 16
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.05,
|
61 |
"learning_rate": 0.0003,
|
62 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
63 |
"step": 18
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.06,
|
67 |
"learning_rate": 0.0003,
|
68 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
69 |
"step": 20
|
70 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
71 |
{
|
72 |
"epoch": 0.07,
|
73 |
"learning_rate": 0.0003,
|
74 |
-
"loss": 0.
|
75 |
"step": 22
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.07,
|
79 |
"learning_rate": 0.0003,
|
80 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
81 |
"step": 24
|
82 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
83 |
{
|
84 |
"epoch": 0.08,
|
85 |
"learning_rate": 0.0003,
|
86 |
-
"loss": 0.
|
87 |
"step": 26
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.08,
|
91 |
"learning_rate": 0.0003,
|
92 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
93 |
"step": 28
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.09,
|
97 |
"learning_rate": 0.0003,
|
98 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
99 |
"step": 30
|
100 |
},
|
101 |
{
|
102 |
"epoch": 0.09,
|
103 |
"learning_rate": 0.0003,
|
104 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
105 |
"step": 32
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.1,
|
109 |
"learning_rate": 0.0003,
|
110 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
111 |
"step": 34
|
112 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
113 |
{
|
114 |
"epoch": 0.11,
|
115 |
"learning_rate": 0.0003,
|
116 |
-
"loss": 0.
|
117 |
"step": 36
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.11,
|
121 |
"learning_rate": 0.0003,
|
122 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
123 |
"step": 38
|
124 |
},
|
125 |
{
|
126 |
"epoch": 0.12,
|
127 |
"learning_rate": 0.0003,
|
128 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
129 |
"step": 40
|
130 |
},
|
131 |
{
|
132 |
"epoch": 0.12,
|
133 |
"learning_rate": 0.0003,
|
134 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
135 |
"step": 42
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.13,
|
139 |
"learning_rate": 0.0003,
|
140 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
141 |
"step": 44
|
142 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
143 |
{
|
144 |
"epoch": 0.14,
|
145 |
"learning_rate": 0.0003,
|
146 |
-
"loss": 0.
|
147 |
"step": 46
|
148 |
},
|
149 |
{
|
150 |
"epoch": 0.14,
|
151 |
"learning_rate": 0.0003,
|
152 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
153 |
"step": 48
|
154 |
},
|
155 |
{
|
156 |
"epoch": 0.15,
|
157 |
"learning_rate": 0.0003,
|
158 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
159 |
"step": 50
|
160 |
},
|
161 |
{
|
162 |
"epoch": 0.15,
|
163 |
"learning_rate": 0.0003,
|
164 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
165 |
"step": 52
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.16,
|
169 |
"learning_rate": 0.0003,
|
170 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
171 |
"step": 54
|
172 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
173 |
{
|
174 |
"epoch": 0.17,
|
175 |
"learning_rate": 0.0003,
|
176 |
-
"loss": 0.
|
177 |
"step": 56
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.17,
|
181 |
"learning_rate": 0.0003,
|
182 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
183 |
"step": 58
|
184 |
},
|
185 |
{
|
186 |
"epoch": 0.18,
|
187 |
"learning_rate": 0.0003,
|
188 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
189 |
"step": 60
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.18,
|
193 |
"learning_rate": 0.0003,
|
194 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
195 |
"step": 62
|
196 |
},
|
197 |
{
|
198 |
"epoch": 0.19,
|
199 |
"learning_rate": 0.0003,
|
200 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
201 |
"step": 64
|
202 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
203 |
{
|
204 |
"epoch": 0.2,
|
205 |
"learning_rate": 0.0003,
|
206 |
-
"loss": 0.
|
207 |
"step": 66
|
208 |
},
|
209 |
{
|
210 |
"epoch": 0.2,
|
211 |
"learning_rate": 0.0003,
|
212 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
213 |
"step": 68
|
214 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
215 |
{
|
216 |
"epoch": 0.21,
|
217 |
"learning_rate": 0.0003,
|
218 |
-
"loss": 0.
|
219 |
"step": 70
|
220 |
},
|
221 |
{
|
222 |
"epoch": 0.21,
|
223 |
"learning_rate": 0.0003,
|
224 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
225 |
"step": 72
|
226 |
},
|
227 |
{
|
228 |
"epoch": 0.22,
|
229 |
"learning_rate": 0.0003,
|
230 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
231 |
"step": 74
|
232 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
233 |
{
|
234 |
"epoch": 0.23,
|
235 |
"learning_rate": 0.0003,
|
236 |
-
"loss": 0.
|
237 |
"step": 76
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.23,
|
241 |
"learning_rate": 0.0003,
|
242 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
243 |
"step": 78
|
244 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
245 |
{
|
246 |
"epoch": 0.24,
|
247 |
"learning_rate": 0.0003,
|
248 |
-
"loss": 0.
|
249 |
"step": 80
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.24,
|
253 |
"learning_rate": 0.0003,
|
254 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
255 |
"step": 82
|
256 |
},
|
257 |
{
|
258 |
"epoch": 0.25,
|
259 |
"learning_rate": 0.0003,
|
260 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
261 |
"step": 84
|
262 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
263 |
{
|
264 |
"epoch": 0.26,
|
265 |
"learning_rate": 0.0003,
|
266 |
-
"loss": 0.
|
267 |
"step": 86
|
268 |
},
|
269 |
{
|
270 |
"epoch": 0.26,
|
271 |
"learning_rate": 0.0003,
|
272 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
273 |
"step": 88
|
274 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
275 |
{
|
276 |
"epoch": 0.27,
|
277 |
"learning_rate": 0.0003,
|
278 |
-
"loss": 0.
|
279 |
"step": 90
|
280 |
},
|
281 |
{
|
282 |
"epoch": 0.27,
|
283 |
"learning_rate": 0.0003,
|
284 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
285 |
"step": 92
|
286 |
},
|
287 |
{
|
288 |
"epoch": 0.28,
|
289 |
"learning_rate": 0.0003,
|
290 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
291 |
"step": 94
|
292 |
},
|
293 |
{
|
294 |
"epoch": 0.28,
|
295 |
"learning_rate": 0.0003,
|
296 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
297 |
"step": 96
|
298 |
},
|
299 |
{
|
300 |
"epoch": 0.29,
|
301 |
"learning_rate": 0.0003,
|
302 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
303 |
"step": 98
|
304 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
305 |
{
|
306 |
"epoch": 0.3,
|
307 |
"learning_rate": 0.0003,
|
308 |
-
"loss": 0.
|
309 |
"step": 100
|
310 |
},
|
311 |
{
|
312 |
"epoch": 0.3,
|
313 |
"learning_rate": 0.0003,
|
314 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
315 |
"step": 102
|
316 |
},
|
317 |
{
|
318 |
"epoch": 0.31,
|
319 |
"learning_rate": 0.0003,
|
320 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
321 |
"step": 104
|
322 |
},
|
323 |
{
|
324 |
"epoch": 0.31,
|
325 |
"learning_rate": 0.0003,
|
326 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
327 |
"step": 106
|
328 |
},
|
329 |
{
|
330 |
"epoch": 0.32,
|
331 |
"learning_rate": 0.0003,
|
332 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
333 |
"step": 108
|
334 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
335 |
{
|
336 |
"epoch": 0.33,
|
337 |
"learning_rate": 0.0003,
|
338 |
-
"loss": 0.
|
339 |
"step": 110
|
340 |
},
|
341 |
{
|
342 |
"epoch": 0.33,
|
343 |
"learning_rate": 0.0003,
|
344 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
345 |
"step": 112
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.34,
|
349 |
"learning_rate": 0.0003,
|
350 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
351 |
"step": 114
|
352 |
},
|
353 |
{
|
354 |
"epoch": 0.34,
|
355 |
"learning_rate": 0.0003,
|
356 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
357 |
"step": 116
|
358 |
},
|
359 |
{
|
360 |
"epoch": 0.35,
|
361 |
"learning_rate": 0.0003,
|
362 |
-
"loss": 0.
|
363 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
364 |
},
|
365 |
{
|
366 |
"epoch": 0.36,
|
367 |
"learning_rate": 0.0003,
|
368 |
-
"loss": 0.
|
369 |
"step": 120
|
370 |
},
|
371 |
{
|
372 |
"epoch": 0.36,
|
373 |
"learning_rate": 0.0003,
|
374 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
375 |
"step": 122
|
376 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
377 |
{
|
378 |
"epoch": 0.37,
|
379 |
"learning_rate": 0.0003,
|
380 |
-
"loss": 0.
|
381 |
"step": 124
|
382 |
},
|
383 |
{
|
384 |
"epoch": 0.37,
|
385 |
"learning_rate": 0.0003,
|
386 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
387 |
"step": 126
|
388 |
},
|
389 |
{
|
390 |
"epoch": 0.38,
|
391 |
"learning_rate": 0.0003,
|
392 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
393 |
"step": 128
|
394 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
395 |
{
|
396 |
"epoch": 0.39,
|
397 |
"learning_rate": 0.0003,
|
398 |
-
"loss": 0.
|
399 |
"step": 130
|
400 |
},
|
401 |
{
|
402 |
"epoch": 0.39,
|
403 |
"learning_rate": 0.0003,
|
404 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
405 |
"step": 132
|
406 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
407 |
{
|
408 |
"epoch": 0.4,
|
409 |
"learning_rate": 0.0003,
|
410 |
-
"loss": 0.
|
411 |
"step": 134
|
412 |
},
|
413 |
{
|
414 |
"epoch": 0.4,
|
415 |
"learning_rate": 0.0003,
|
416 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
417 |
"step": 136
|
418 |
},
|
419 |
{
|
420 |
"epoch": 0.41,
|
421 |
"learning_rate": 0.0003,
|
422 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
423 |
"step": 138
|
424 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
425 |
{
|
426 |
"epoch": 0.42,
|
427 |
"learning_rate": 0.0003,
|
428 |
-
"loss": 0.
|
429 |
"step": 140
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.42,
|
433 |
"learning_rate": 0.0003,
|
434 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
435 |
"step": 142
|
436 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
437 |
{
|
438 |
"epoch": 0.43,
|
439 |
"learning_rate": 0.0003,
|
440 |
-
"loss": 0.
|
441 |
"step": 144
|
442 |
},
|
443 |
{
|
444 |
"epoch": 0.43,
|
445 |
"learning_rate": 0.0003,
|
446 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
447 |
"step": 146
|
448 |
},
|
449 |
{
|
450 |
"epoch": 0.44,
|
451 |
"learning_rate": 0.0003,
|
452 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
453 |
"step": 148
|
454 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
455 |
{
|
456 |
"epoch": 0.45,
|
457 |
"learning_rate": 0.0003,
|
458 |
-
"loss": 0.
|
459 |
"step": 150
|
460 |
},
|
461 |
{
|
462 |
"epoch": 0.45,
|
463 |
"learning_rate": 0.0003,
|
464 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
465 |
"step": 152
|
466 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
467 |
{
|
468 |
"epoch": 0.46,
|
469 |
"learning_rate": 0.0003,
|
470 |
-
"loss": 0.
|
471 |
"step": 154
|
472 |
},
|
473 |
{
|
474 |
"epoch": 0.46,
|
475 |
"learning_rate": 0.0003,
|
476 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
477 |
"step": 156
|
478 |
},
|
479 |
{
|
480 |
"epoch": 0.47,
|
481 |
"learning_rate": 0.0003,
|
482 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
483 |
"step": 158
|
484 |
},
|
485 |
{
|
486 |
"epoch": 0.47,
|
487 |
"learning_rate": 0.0003,
|
488 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
489 |
"step": 160
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.48,
|
493 |
"learning_rate": 0.0003,
|
494 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
495 |
"step": 162
|
496 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
497 |
{
|
498 |
"epoch": 0.49,
|
499 |
"learning_rate": 0.0003,
|
500 |
-
"loss": 0.
|
501 |
"step": 164
|
502 |
},
|
503 |
{
|
504 |
"epoch": 0.49,
|
505 |
"learning_rate": 0.0003,
|
506 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
507 |
"step": 166
|
508 |
},
|
509 |
{
|
510 |
"epoch": 0.5,
|
511 |
"learning_rate": 0.0003,
|
512 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
513 |
"step": 168
|
514 |
},
|
515 |
{
|
516 |
"epoch": 0.5,
|
517 |
"learning_rate": 0.0003,
|
518 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
519 |
"step": 170
|
520 |
},
|
521 |
{
|
522 |
"epoch": 0.51,
|
523 |
"learning_rate": 0.0003,
|
524 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
525 |
"step": 172
|
526 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
527 |
{
|
528 |
"epoch": 0.52,
|
529 |
"learning_rate": 0.0003,
|
530 |
-
"loss": 0.
|
531 |
"step": 174
|
532 |
},
|
533 |
{
|
534 |
"epoch": 0.52,
|
535 |
"learning_rate": 0.0003,
|
536 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
537 |
"step": 176
|
538 |
},
|
539 |
{
|
540 |
"epoch": 0.53,
|
541 |
"learning_rate": 0.0003,
|
542 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
543 |
"step": 178
|
544 |
},
|
545 |
{
|
546 |
"epoch": 0.53,
|
547 |
"learning_rate": 0.0003,
|
548 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
549 |
"step": 180
|
550 |
},
|
551 |
{
|
552 |
"epoch": 0.54,
|
553 |
"learning_rate": 0.0003,
|
554 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
555 |
"step": 182
|
556 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
557 |
{
|
558 |
"epoch": 0.55,
|
559 |
"learning_rate": 0.0003,
|
560 |
-
"loss": 0.
|
561 |
"step": 184
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.55,
|
565 |
"learning_rate": 0.0003,
|
566 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
567 |
"step": 186
|
568 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
569 |
{
|
570 |
"epoch": 0.56,
|
571 |
"learning_rate": 0.0003,
|
572 |
-
"loss": 0.
|
573 |
"step": 188
|
574 |
},
|
575 |
{
|
576 |
"epoch": 0.56,
|
577 |
"learning_rate": 0.0003,
|
578 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
579 |
"step": 190
|
580 |
},
|
581 |
{
|
582 |
"epoch": 0.57,
|
583 |
"learning_rate": 0.0003,
|
584 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
585 |
"step": 192
|
586 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
587 |
{
|
588 |
"epoch": 0.58,
|
589 |
"learning_rate": 0.0003,
|
590 |
-
"loss": 0.
|
591 |
"step": 194
|
592 |
},
|
593 |
{
|
594 |
"epoch": 0.58,
|
595 |
"learning_rate": 0.0003,
|
596 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
597 |
"step": 196
|
598 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
599 |
{
|
600 |
"epoch": 0.59,
|
601 |
"learning_rate": 0.0003,
|
602 |
-
"loss": 0.
|
603 |
"step": 198
|
604 |
},
|
605 |
{
|
606 |
"epoch": 0.59,
|
607 |
"learning_rate": 0.0003,
|
608 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
609 |
"step": 200
|
610 |
},
|
611 |
{
|
612 |
"epoch": 0.6,
|
613 |
"learning_rate": 0.0003,
|
614 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
615 |
"step": 202
|
616 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
617 |
{
|
618 |
"epoch": 0.61,
|
619 |
"learning_rate": 0.0003,
|
620 |
-
"loss": 0.
|
621 |
"step": 204
|
622 |
},
|
623 |
{
|
624 |
"epoch": 0.61,
|
625 |
"learning_rate": 0.0003,
|
626 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
627 |
"step": 206
|
628 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
629 |
{
|
630 |
"epoch": 0.62,
|
631 |
"learning_rate": 0.0003,
|
632 |
-
"loss": 0.
|
633 |
"step": 208
|
634 |
},
|
635 |
{
|
636 |
"epoch": 0.62,
|
637 |
"learning_rate": 0.0003,
|
638 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
639 |
"step": 210
|
640 |
},
|
641 |
{
|
642 |
"epoch": 0.63,
|
643 |
"learning_rate": 0.0003,
|
644 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
645 |
"step": 212
|
646 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
647 |
{
|
648 |
"epoch": 0.64,
|
649 |
"learning_rate": 0.0003,
|
650 |
-
"loss": 0.
|
651 |
"step": 214
|
652 |
},
|
653 |
{
|
654 |
"epoch": 0.64,
|
655 |
"learning_rate": 0.0003,
|
656 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
657 |
"step": 216
|
658 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
659 |
{
|
660 |
"epoch": 0.65,
|
661 |
"learning_rate": 0.0003,
|
662 |
-
"loss": 0.
|
663 |
"step": 218
|
664 |
},
|
665 |
{
|
666 |
"epoch": 0.65,
|
667 |
"learning_rate": 0.0003,
|
668 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
669 |
"step": 220
|
670 |
},
|
671 |
{
|
672 |
"epoch": 0.66,
|
673 |
"learning_rate": 0.0003,
|
674 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
675 |
"step": 222
|
676 |
},
|
677 |
{
|
678 |
"epoch": 0.66,
|
679 |
"learning_rate": 0.0003,
|
680 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
681 |
"step": 224
|
682 |
},
|
683 |
{
|
684 |
"epoch": 0.67,
|
685 |
"learning_rate": 0.0003,
|
686 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
687 |
"step": 226
|
688 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
689 |
{
|
690 |
"epoch": 0.68,
|
691 |
"learning_rate": 0.0003,
|
692 |
-
"loss": 0.
|
693 |
"step": 228
|
694 |
},
|
695 |
{
|
696 |
"epoch": 0.68,
|
697 |
"learning_rate": 0.0003,
|
698 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
699 |
"step": 230
|
700 |
},
|
701 |
{
|
702 |
"epoch": 0.69,
|
703 |
"learning_rate": 0.0003,
|
704 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
705 |
"step": 232
|
706 |
},
|
707 |
{
|
708 |
"epoch": 0.69,
|
709 |
"learning_rate": 0.0003,
|
710 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
711 |
"step": 234
|
712 |
},
|
713 |
{
|
714 |
"epoch": 0.7,
|
715 |
"learning_rate": 0.0003,
|
716 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
717 |
"step": 236
|
718 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
719 |
{
|
720 |
"epoch": 0.71,
|
721 |
"learning_rate": 0.0003,
|
722 |
-
"loss": 0.
|
723 |
"step": 238
|
724 |
},
|
725 |
{
|
726 |
"epoch": 0.71,
|
727 |
"learning_rate": 0.0003,
|
728 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
729 |
"step": 240
|
730 |
},
|
731 |
{
|
732 |
"epoch": 0.72,
|
733 |
"learning_rate": 0.0003,
|
734 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
735 |
"step": 242
|
736 |
},
|
737 |
{
|
738 |
"epoch": 0.72,
|
739 |
"learning_rate": 0.0003,
|
740 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
741 |
"step": 244
|
742 |
},
|
743 |
{
|
744 |
"epoch": 0.73,
|
745 |
"learning_rate": 0.0003,
|
746 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
747 |
"step": 246
|
748 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
749 |
{
|
750 |
"epoch": 0.74,
|
751 |
"learning_rate": 0.0003,
|
752 |
-
"loss": 0.
|
753 |
"step": 248
|
754 |
},
|
755 |
{
|
756 |
"epoch": 0.74,
|
757 |
"learning_rate": 0.0003,
|
758 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
759 |
"step": 250
|
760 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
761 |
{
|
762 |
"epoch": 0.75,
|
763 |
"learning_rate": 0.0003,
|
764 |
-
"loss": 0.
|
765 |
"step": 252
|
766 |
},
|
767 |
{
|
768 |
"epoch": 0.75,
|
769 |
"learning_rate": 0.0003,
|
770 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
771 |
"step": 254
|
772 |
},
|
773 |
{
|
774 |
"epoch": 0.76,
|
775 |
"learning_rate": 0.0003,
|
776 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
777 |
"step": 256
|
778 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
779 |
{
|
780 |
"epoch": 0.77,
|
781 |
"learning_rate": 0.0003,
|
782 |
-
"loss": 0.
|
783 |
"step": 258
|
784 |
},
|
785 |
{
|
786 |
"epoch": 0.77,
|
787 |
"learning_rate": 0.0003,
|
788 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
789 |
"step": 260
|
790 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
791 |
{
|
792 |
"epoch": 0.78,
|
793 |
"learning_rate": 0.0003,
|
794 |
-
"loss": 0.
|
795 |
"step": 262
|
796 |
},
|
797 |
{
|
798 |
"epoch": 0.78,
|
799 |
"learning_rate": 0.0003,
|
800 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
801 |
"step": 264
|
802 |
},
|
803 |
{
|
804 |
"epoch": 0.79,
|
805 |
"learning_rate": 0.0003,
|
806 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
807 |
"step": 266
|
808 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
809 |
{
|
810 |
"epoch": 0.8,
|
811 |
"learning_rate": 0.0003,
|
812 |
-
"loss": 0.
|
813 |
"step": 268
|
814 |
},
|
815 |
{
|
816 |
"epoch": 0.8,
|
817 |
"learning_rate": 0.0003,
|
818 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
819 |
"step": 270
|
820 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
821 |
{
|
822 |
"epoch": 0.81,
|
823 |
"learning_rate": 0.0003,
|
824 |
-
"loss": 0.
|
825 |
"step": 272
|
826 |
},
|
827 |
{
|
828 |
"epoch": 0.81,
|
829 |
"learning_rate": 0.0003,
|
830 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
831 |
"step": 274
|
832 |
},
|
833 |
{
|
834 |
"epoch": 0.82,
|
835 |
"learning_rate": 0.0003,
|
836 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
837 |
"step": 276
|
838 |
},
|
839 |
{
|
840 |
"epoch": 0.82,
|
841 |
"learning_rate": 0.0003,
|
842 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
843 |
"step": 278
|
844 |
},
|
845 |
{
|
846 |
"epoch": 0.83,
|
847 |
"learning_rate": 0.0003,
|
848 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
849 |
"step": 280
|
850 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
851 |
{
|
852 |
"epoch": 0.84,
|
853 |
"learning_rate": 0.0003,
|
854 |
-
"loss": 0.
|
855 |
"step": 282
|
856 |
},
|
857 |
{
|
858 |
"epoch": 0.84,
|
859 |
"learning_rate": 0.0003,
|
860 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
861 |
"step": 284
|
862 |
},
|
863 |
{
|
864 |
"epoch": 0.85,
|
865 |
"learning_rate": 0.0003,
|
866 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
867 |
"step": 286
|
868 |
},
|
869 |
{
|
870 |
"epoch": 0.85,
|
871 |
"learning_rate": 0.0003,
|
872 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
873 |
"step": 288
|
874 |
},
|
875 |
{
|
876 |
"epoch": 0.86,
|
877 |
"learning_rate": 0.0003,
|
878 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
879 |
"step": 290
|
880 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
881 |
{
|
882 |
"epoch": 0.87,
|
883 |
"learning_rate": 0.0003,
|
884 |
-
"loss": 0.
|
885 |
"step": 292
|
886 |
},
|
887 |
{
|
888 |
"epoch": 0.87,
|
889 |
"learning_rate": 0.0003,
|
890 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
891 |
"step": 294
|
892 |
},
|
893 |
{
|
894 |
"epoch": 0.88,
|
895 |
"learning_rate": 0.0003,
|
896 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
897 |
"step": 296
|
898 |
},
|
899 |
{
|
900 |
"epoch": 0.88,
|
901 |
"learning_rate": 0.0003,
|
902 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
903 |
"step": 298
|
904 |
},
|
905 |
{
|
906 |
"epoch": 0.89,
|
907 |
"learning_rate": 0.0003,
|
908 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
909 |
"step": 300
|
910 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
911 |
{
|
912 |
"epoch": 0.9,
|
913 |
"learning_rate": 0.0003,
|
914 |
-
"loss": 0.
|
915 |
"step": 302
|
916 |
},
|
917 |
{
|
918 |
"epoch": 0.9,
|
919 |
"learning_rate": 0.0003,
|
920 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
921 |
"step": 304
|
922 |
},
|
923 |
{
|
924 |
"epoch": 0.91,
|
925 |
"learning_rate": 0.0003,
|
926 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
927 |
"step": 306
|
928 |
},
|
929 |
{
|
930 |
"epoch": 0.91,
|
931 |
"learning_rate": 0.0003,
|
932 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
933 |
"step": 308
|
934 |
},
|
935 |
{
|
936 |
"epoch": 0.92,
|
937 |
"learning_rate": 0.0003,
|
938 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
939 |
"step": 310
|
940 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
941 |
{
|
942 |
"epoch": 0.93,
|
943 |
"learning_rate": 0.0003,
|
944 |
-
"loss": 0.
|
945 |
"step": 312
|
946 |
},
|
947 |
{
|
948 |
"epoch": 0.93,
|
949 |
"learning_rate": 0.0003,
|
950 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
951 |
"step": 314
|
952 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
953 |
{
|
954 |
"epoch": 0.94,
|
955 |
"learning_rate": 0.0003,
|
956 |
-
"loss": 0.
|
957 |
"step": 316
|
958 |
},
|
959 |
{
|
960 |
"epoch": 0.94,
|
961 |
"learning_rate": 0.0003,
|
962 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
963 |
"step": 318
|
964 |
},
|
965 |
{
|
966 |
"epoch": 0.95,
|
967 |
"learning_rate": 0.0003,
|
968 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
969 |
"step": 320
|
970 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
971 |
{
|
972 |
"epoch": 0.96,
|
973 |
"learning_rate": 0.0003,
|
974 |
-
"loss": 0.
|
975 |
"step": 322
|
976 |
},
|
977 |
{
|
978 |
"epoch": 0.96,
|
979 |
"learning_rate": 0.0003,
|
980 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
981 |
"step": 324
|
982 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
983 |
{
|
984 |
"epoch": 0.97,
|
985 |
"learning_rate": 0.0003,
|
986 |
-
"loss": 0.
|
987 |
"step": 326
|
988 |
},
|
989 |
{
|
990 |
"epoch": 0.97,
|
991 |
"learning_rate": 0.0003,
|
992 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
993 |
"step": 328
|
994 |
},
|
995 |
{
|
996 |
"epoch": 0.98,
|
997 |
"learning_rate": 0.0003,
|
998 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
999 |
"step": 330
|
1000 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
1001 |
{
|
1002 |
"epoch": 0.99,
|
1003 |
"learning_rate": 0.0003,
|
1004 |
-
"loss": 0.
|
1005 |
"step": 332
|
1006 |
},
|
1007 |
{
|
1008 |
"epoch": 0.99,
|
1009 |
"learning_rate": 0.0003,
|
1010 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
1011 |
"step": 334
|
1012 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
1013 |
{
|
1014 |
"epoch": 1.0,
|
1015 |
"learning_rate": 0.0003,
|
1016 |
-
"loss": 0.
|
1017 |
"step": 336
|
1018 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
1019 |
{
|
1020 |
"epoch": 1.0,
|
1021 |
"step": 337,
|
1022 |
-
"total_flos":
|
1023 |
-
"train_loss": 0.
|
1024 |
-
"train_runtime":
|
1025 |
-
"train_samples_per_second":
|
1026 |
-
"train_steps_per_second": 0.
|
1027 |
}
|
1028 |
],
|
1029 |
-
"logging_steps":
|
1030 |
"max_steps": 337,
|
1031 |
"num_train_epochs": 1,
|
1032 |
"save_steps": 500,
|
1033 |
-
"total_flos":
|
1034 |
"trial_name": null,
|
1035 |
"trial_params": null
|
1036 |
}
|
|
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 0.0003,
|
14 |
+
"loss": 0.0214,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
{
|
18 |
"epoch": 0.01,
|
19 |
"learning_rate": 0.0003,
|
20 |
+
"loss": 0.0638,
|
21 |
"step": 2
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.01,
|
25 |
"learning_rate": 0.0003,
|
26 |
+
"loss": 0.0084,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.01,
|
31 |
+
"learning_rate": 0.0003,
|
32 |
+
"loss": 0.0001,
|
33 |
"step": 4
|
34 |
},
|
35 |
+
{
|
36 |
+
"epoch": 0.01,
|
37 |
+
"learning_rate": 0.0003,
|
38 |
+
"loss": 0.0865,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
{
|
42 |
"epoch": 0.02,
|
43 |
"learning_rate": 0.0003,
|
44 |
+
"loss": 0.1704,
|
45 |
"step": 6
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.02,
|
49 |
"learning_rate": 0.0003,
|
50 |
+
"loss": 0.0269,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02,
|
55 |
+
"learning_rate": 0.0003,
|
56 |
+
"loss": 0.0027,
|
57 |
"step": 8
|
58 |
},
|
59 |
{
|
60 |
"epoch": 0.03,
|
61 |
"learning_rate": 0.0003,
|
62 |
+
"loss": 0.1024,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.03,
|
67 |
+
"learning_rate": 0.0003,
|
68 |
+
"loss": 0.0043,
|
69 |
"step": 10
|
70 |
},
|
71 |
+
{
|
72 |
+
"epoch": 0.03,
|
73 |
+
"learning_rate": 0.0003,
|
74 |
+
"loss": 0.1436,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
{
|
78 |
"epoch": 0.04,
|
79 |
"learning_rate": 0.0003,
|
80 |
+
"loss": 0.0381,
|
81 |
"step": 12
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.04,
|
85 |
"learning_rate": 0.0003,
|
86 |
+
"loss": 0.037,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.04,
|
91 |
+
"learning_rate": 0.0003,
|
92 |
+
"loss": 0.1025,
|
93 |
"step": 14
|
94 |
},
|
95 |
+
{
|
96 |
+
"epoch": 0.04,
|
97 |
+
"learning_rate": 0.0003,
|
98 |
+
"loss": 0.0779,
|
99 |
+
"step": 15
|
100 |
+
},
|
101 |
{
|
102 |
"epoch": 0.05,
|
103 |
"learning_rate": 0.0003,
|
104 |
+
"loss": 0.0136,
|
105 |
"step": 16
|
106 |
},
|
107 |
{
|
108 |
"epoch": 0.05,
|
109 |
"learning_rate": 0.0003,
|
110 |
+
"loss": 0.1107,
|
111 |
+
"step": 17
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.05,
|
115 |
+
"learning_rate": 0.0003,
|
116 |
+
"loss": 0.1521,
|
117 |
"step": 18
|
118 |
},
|
119 |
{
|
120 |
"epoch": 0.06,
|
121 |
"learning_rate": 0.0003,
|
122 |
+
"loss": 0.0201,
|
123 |
+
"step": 19
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.06,
|
127 |
+
"learning_rate": 0.0003,
|
128 |
+
"loss": 0.0001,
|
129 |
"step": 20
|
130 |
},
|
131 |
+
{
|
132 |
+
"epoch": 0.06,
|
133 |
+
"learning_rate": 0.0003,
|
134 |
+
"loss": 0.0142,
|
135 |
+
"step": 21
|
136 |
+
},
|
137 |
{
|
138 |
"epoch": 0.07,
|
139 |
"learning_rate": 0.0003,
|
140 |
+
"loss": 0.01,
|
141 |
"step": 22
|
142 |
},
|
143 |
{
|
144 |
"epoch": 0.07,
|
145 |
"learning_rate": 0.0003,
|
146 |
+
"loss": 0.0255,
|
147 |
+
"step": 23
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.07,
|
151 |
+
"learning_rate": 0.0003,
|
152 |
+
"loss": 0.0049,
|
153 |
"step": 24
|
154 |
},
|
155 |
+
{
|
156 |
+
"epoch": 0.07,
|
157 |
+
"learning_rate": 0.0003,
|
158 |
+
"loss": 0.0693,
|
159 |
+
"step": 25
|
160 |
+
},
|
161 |
{
|
162 |
"epoch": 0.08,
|
163 |
"learning_rate": 0.0003,
|
164 |
+
"loss": 0.26,
|
165 |
"step": 26
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.08,
|
169 |
"learning_rate": 0.0003,
|
170 |
+
"loss": 0.0174,
|
171 |
+
"step": 27
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.08,
|
175 |
+
"learning_rate": 0.0003,
|
176 |
+
"loss": 0.0269,
|
177 |
"step": 28
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.09,
|
181 |
"learning_rate": 0.0003,
|
182 |
+
"loss": 0.5464,
|
183 |
+
"step": 29
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.09,
|
187 |
+
"learning_rate": 0.0003,
|
188 |
+
"loss": 0.0194,
|
189 |
"step": 30
|
190 |
},
|
191 |
{
|
192 |
"epoch": 0.09,
|
193 |
"learning_rate": 0.0003,
|
194 |
+
"loss": 0.0074,
|
195 |
+
"step": 31
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.09,
|
199 |
+
"learning_rate": 0.0003,
|
200 |
+
"loss": 0.2089,
|
201 |
"step": 32
|
202 |
},
|
203 |
{
|
204 |
"epoch": 0.1,
|
205 |
"learning_rate": 0.0003,
|
206 |
+
"loss": 0.0061,
|
207 |
+
"step": 33
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.1,
|
211 |
+
"learning_rate": 0.0003,
|
212 |
+
"loss": 0.0017,
|
213 |
"step": 34
|
214 |
},
|
215 |
+
{
|
216 |
+
"epoch": 0.1,
|
217 |
+
"learning_rate": 0.0003,
|
218 |
+
"loss": 0.0207,
|
219 |
+
"step": 35
|
220 |
+
},
|
221 |
{
|
222 |
"epoch": 0.11,
|
223 |
"learning_rate": 0.0003,
|
224 |
+
"loss": 0.0,
|
225 |
"step": 36
|
226 |
},
|
227 |
{
|
228 |
"epoch": 0.11,
|
229 |
"learning_rate": 0.0003,
|
230 |
+
"loss": 0.3662,
|
231 |
+
"step": 37
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.11,
|
235 |
+
"learning_rate": 0.0003,
|
236 |
+
"loss": 0.0011,
|
237 |
"step": 38
|
238 |
},
|
239 |
{
|
240 |
"epoch": 0.12,
|
241 |
"learning_rate": 0.0003,
|
242 |
+
"loss": 0.0464,
|
243 |
+
"step": 39
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.12,
|
247 |
+
"learning_rate": 0.0003,
|
248 |
+
"loss": 0.0051,
|
249 |
"step": 40
|
250 |
},
|
251 |
{
|
252 |
"epoch": 0.12,
|
253 |
"learning_rate": 0.0003,
|
254 |
+
"loss": 0.0008,
|
255 |
+
"step": 41
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.12,
|
259 |
+
"learning_rate": 0.0003,
|
260 |
+
"loss": 0.0744,
|
261 |
"step": 42
|
262 |
},
|
263 |
{
|
264 |
"epoch": 0.13,
|
265 |
"learning_rate": 0.0003,
|
266 |
+
"loss": 0.009,
|
267 |
+
"step": 43
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.13,
|
271 |
+
"learning_rate": 0.0003,
|
272 |
+
"loss": 0.0031,
|
273 |
"step": 44
|
274 |
},
|
275 |
+
{
|
276 |
+
"epoch": 0.13,
|
277 |
+
"learning_rate": 0.0003,
|
278 |
+
"loss": 0.1138,
|
279 |
+
"step": 45
|
280 |
+
},
|
281 |
{
|
282 |
"epoch": 0.14,
|
283 |
"learning_rate": 0.0003,
|
284 |
+
"loss": 0.0016,
|
285 |
"step": 46
|
286 |
},
|
287 |
{
|
288 |
"epoch": 0.14,
|
289 |
"learning_rate": 0.0003,
|
290 |
+
"loss": 0.0643,
|
291 |
+
"step": 47
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.14,
|
295 |
+
"learning_rate": 0.0003,
|
296 |
+
"loss": 0.1696,
|
297 |
"step": 48
|
298 |
},
|
299 |
{
|
300 |
"epoch": 0.15,
|
301 |
"learning_rate": 0.0003,
|
302 |
+
"loss": 0.0726,
|
303 |
+
"step": 49
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.15,
|
307 |
+
"learning_rate": 0.0003,
|
308 |
+
"loss": 0.0412,
|
309 |
"step": 50
|
310 |
},
|
311 |
{
|
312 |
"epoch": 0.15,
|
313 |
"learning_rate": 0.0003,
|
314 |
+
"loss": 0.0008,
|
315 |
+
"step": 51
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.15,
|
319 |
+
"learning_rate": 0.0003,
|
320 |
+
"loss": 0.0001,
|
321 |
"step": 52
|
322 |
},
|
323 |
{
|
324 |
"epoch": 0.16,
|
325 |
"learning_rate": 0.0003,
|
326 |
+
"loss": 0.0573,
|
327 |
+
"step": 53
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.16,
|
331 |
+
"learning_rate": 0.0003,
|
332 |
+
"loss": 0.0265,
|
333 |
"step": 54
|
334 |
},
|
335 |
+
{
|
336 |
+
"epoch": 0.16,
|
337 |
+
"learning_rate": 0.0003,
|
338 |
+
"loss": 0.0014,
|
339 |
+
"step": 55
|
340 |
+
},
|
341 |
{
|
342 |
"epoch": 0.17,
|
343 |
"learning_rate": 0.0003,
|
344 |
+
"loss": 0.0012,
|
345 |
"step": 56
|
346 |
},
|
347 |
{
|
348 |
"epoch": 0.17,
|
349 |
"learning_rate": 0.0003,
|
350 |
+
"loss": 0.0013,
|
351 |
+
"step": 57
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.17,
|
355 |
+
"learning_rate": 0.0003,
|
356 |
+
"loss": 0.2062,
|
357 |
"step": 58
|
358 |
},
|
359 |
{
|
360 |
"epoch": 0.18,
|
361 |
"learning_rate": 0.0003,
|
362 |
+
"loss": 0.1355,
|
363 |
+
"step": 59
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.18,
|
367 |
+
"learning_rate": 0.0003,
|
368 |
+
"loss": 0.0085,
|
369 |
"step": 60
|
370 |
},
|
371 |
{
|
372 |
"epoch": 0.18,
|
373 |
"learning_rate": 0.0003,
|
374 |
+
"loss": 0.1681,
|
375 |
+
"step": 61
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.18,
|
379 |
+
"learning_rate": 0.0003,
|
380 |
+
"loss": 0.0,
|
381 |
"step": 62
|
382 |
},
|
383 |
{
|
384 |
"epoch": 0.19,
|
385 |
"learning_rate": 0.0003,
|
386 |
+
"loss": 0.0005,
|
387 |
+
"step": 63
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.19,
|
391 |
+
"learning_rate": 0.0003,
|
392 |
+
"loss": 0.0679,
|
393 |
"step": 64
|
394 |
},
|
395 |
+
{
|
396 |
+
"epoch": 0.19,
|
397 |
+
"learning_rate": 0.0003,
|
398 |
+
"loss": 0.1091,
|
399 |
+
"step": 65
|
400 |
+
},
|
401 |
{
|
402 |
"epoch": 0.2,
|
403 |
"learning_rate": 0.0003,
|
404 |
+
"loss": 0.0001,
|
405 |
"step": 66
|
406 |
},
|
407 |
{
|
408 |
"epoch": 0.2,
|
409 |
"learning_rate": 0.0003,
|
410 |
+
"loss": 0.0626,
|
411 |
+
"step": 67
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.2,
|
415 |
+
"learning_rate": 0.0003,
|
416 |
+
"loss": 0.0002,
|
417 |
"step": 68
|
418 |
},
|
419 |
+
{
|
420 |
+
"epoch": 0.2,
|
421 |
+
"learning_rate": 0.0003,
|
422 |
+
"loss": 0.0194,
|
423 |
+
"step": 69
|
424 |
+
},
|
425 |
{
|
426 |
"epoch": 0.21,
|
427 |
"learning_rate": 0.0003,
|
428 |
+
"loss": 0.0014,
|
429 |
"step": 70
|
430 |
},
|
431 |
{
|
432 |
"epoch": 0.21,
|
433 |
"learning_rate": 0.0003,
|
434 |
+
"loss": 0.0515,
|
435 |
+
"step": 71
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.21,
|
439 |
+
"learning_rate": 0.0003,
|
440 |
+
"loss": 0.002,
|
441 |
"step": 72
|
442 |
},
|
443 |
{
|
444 |
"epoch": 0.22,
|
445 |
"learning_rate": 0.0003,
|
446 |
+
"loss": 0.0028,
|
447 |
+
"step": 73
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.22,
|
451 |
+
"learning_rate": 0.0003,
|
452 |
+
"loss": 0.0481,
|
453 |
"step": 74
|
454 |
},
|
455 |
+
{
|
456 |
+
"epoch": 0.22,
|
457 |
+
"learning_rate": 0.0003,
|
458 |
+
"loss": 0.0742,
|
459 |
+
"step": 75
|
460 |
+
},
|
461 |
{
|
462 |
"epoch": 0.23,
|
463 |
"learning_rate": 0.0003,
|
464 |
+
"loss": 0.0296,
|
465 |
"step": 76
|
466 |
},
|
467 |
{
|
468 |
"epoch": 0.23,
|
469 |
"learning_rate": 0.0003,
|
470 |
+
"loss": 0.0548,
|
471 |
+
"step": 77
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.23,
|
475 |
+
"learning_rate": 0.0003,
|
476 |
+
"loss": 0.0,
|
477 |
"step": 78
|
478 |
},
|
479 |
+
{
|
480 |
+
"epoch": 0.23,
|
481 |
+
"learning_rate": 0.0003,
|
482 |
+
"loss": 0.0066,
|
483 |
+
"step": 79
|
484 |
+
},
|
485 |
{
|
486 |
"epoch": 0.24,
|
487 |
"learning_rate": 0.0003,
|
488 |
+
"loss": 0.0861,
|
489 |
"step": 80
|
490 |
},
|
491 |
{
|
492 |
"epoch": 0.24,
|
493 |
"learning_rate": 0.0003,
|
494 |
+
"loss": 0.1836,
|
495 |
+
"step": 81
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.24,
|
499 |
+
"learning_rate": 0.0003,
|
500 |
+
"loss": 0.071,
|
501 |
"step": 82
|
502 |
},
|
503 |
{
|
504 |
"epoch": 0.25,
|
505 |
"learning_rate": 0.0003,
|
506 |
+
"loss": 0.3071,
|
507 |
+
"step": 83
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.25,
|
511 |
+
"learning_rate": 0.0003,
|
512 |
+
"loss": 0.0113,
|
513 |
"step": 84
|
514 |
},
|
515 |
+
{
|
516 |
+
"epoch": 0.25,
|
517 |
+
"learning_rate": 0.0003,
|
518 |
+
"loss": 0.0426,
|
519 |
+
"step": 85
|
520 |
+
},
|
521 |
{
|
522 |
"epoch": 0.26,
|
523 |
"learning_rate": 0.0003,
|
524 |
+
"loss": 0.0034,
|
525 |
"step": 86
|
526 |
},
|
527 |
{
|
528 |
"epoch": 0.26,
|
529 |
"learning_rate": 0.0003,
|
530 |
+
"loss": 0.1055,
|
531 |
+
"step": 87
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.26,
|
535 |
+
"learning_rate": 0.0003,
|
536 |
+
"loss": 0.0,
|
537 |
"step": 88
|
538 |
},
|
539 |
+
{
|
540 |
+
"epoch": 0.26,
|
541 |
+
"learning_rate": 0.0003,
|
542 |
+
"loss": 0.1451,
|
543 |
+
"step": 89
|
544 |
+
},
|
545 |
{
|
546 |
"epoch": 0.27,
|
547 |
"learning_rate": 0.0003,
|
548 |
+
"loss": 0.0219,
|
549 |
"step": 90
|
550 |
},
|
551 |
{
|
552 |
"epoch": 0.27,
|
553 |
"learning_rate": 0.0003,
|
554 |
+
"loss": 0.0272,
|
555 |
+
"step": 91
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.27,
|
559 |
+
"learning_rate": 0.0003,
|
560 |
+
"loss": 0.0012,
|
561 |
"step": 92
|
562 |
},
|
563 |
{
|
564 |
"epoch": 0.28,
|
565 |
"learning_rate": 0.0003,
|
566 |
+
"loss": 0.0122,
|
567 |
+
"step": 93
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.28,
|
571 |
+
"learning_rate": 0.0003,
|
572 |
+
"loss": 0.0001,
|
573 |
"step": 94
|
574 |
},
|
575 |
{
|
576 |
"epoch": 0.28,
|
577 |
"learning_rate": 0.0003,
|
578 |
+
"loss": 0.1084,
|
579 |
+
"step": 95
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.28,
|
583 |
+
"learning_rate": 0.0003,
|
584 |
+
"loss": 0.029,
|
585 |
"step": 96
|
586 |
},
|
587 |
{
|
588 |
"epoch": 0.29,
|
589 |
"learning_rate": 0.0003,
|
590 |
+
"loss": 0.0001,
|
591 |
+
"step": 97
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.29,
|
595 |
+
"learning_rate": 0.0003,
|
596 |
+
"loss": 0.0582,
|
597 |
"step": 98
|
598 |
},
|
599 |
+
{
|
600 |
+
"epoch": 0.29,
|
601 |
+
"learning_rate": 0.0003,
|
602 |
+
"loss": 0.0,
|
603 |
+
"step": 99
|
604 |
+
},
|
605 |
{
|
606 |
"epoch": 0.3,
|
607 |
"learning_rate": 0.0003,
|
608 |
+
"loss": 0.0903,
|
609 |
"step": 100
|
610 |
},
|
611 |
{
|
612 |
"epoch": 0.3,
|
613 |
"learning_rate": 0.0003,
|
614 |
+
"loss": 0.0006,
|
615 |
+
"step": 101
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.3,
|
619 |
+
"learning_rate": 0.0003,
|
620 |
+
"loss": 0.0284,
|
621 |
"step": 102
|
622 |
},
|
623 |
{
|
624 |
"epoch": 0.31,
|
625 |
"learning_rate": 0.0003,
|
626 |
+
"loss": 0.0002,
|
627 |
+
"step": 103
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.31,
|
631 |
+
"learning_rate": 0.0003,
|
632 |
+
"loss": 0.0204,
|
633 |
"step": 104
|
634 |
},
|
635 |
{
|
636 |
"epoch": 0.31,
|
637 |
"learning_rate": 0.0003,
|
638 |
+
"loss": 0.0623,
|
639 |
+
"step": 105
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.31,
|
643 |
+
"learning_rate": 0.0003,
|
644 |
+
"loss": 0.103,
|
645 |
"step": 106
|
646 |
},
|
647 |
{
|
648 |
"epoch": 0.32,
|
649 |
"learning_rate": 0.0003,
|
650 |
+
"loss": 0.0637,
|
651 |
+
"step": 107
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.32,
|
655 |
+
"learning_rate": 0.0003,
|
656 |
+
"loss": 0.0026,
|
657 |
"step": 108
|
658 |
},
|
659 |
+
{
|
660 |
+
"epoch": 0.32,
|
661 |
+
"learning_rate": 0.0003,
|
662 |
+
"loss": 0.0004,
|
663 |
+
"step": 109
|
664 |
+
},
|
665 |
{
|
666 |
"epoch": 0.33,
|
667 |
"learning_rate": 0.0003,
|
668 |
+
"loss": 0.0056,
|
669 |
"step": 110
|
670 |
},
|
671 |
{
|
672 |
"epoch": 0.33,
|
673 |
"learning_rate": 0.0003,
|
674 |
+
"loss": 0.0022,
|
675 |
+
"step": 111
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.33,
|
679 |
+
"learning_rate": 0.0003,
|
680 |
+
"loss": 0.0781,
|
681 |
"step": 112
|
682 |
},
|
683 |
{
|
684 |
"epoch": 0.34,
|
685 |
"learning_rate": 0.0003,
|
686 |
+
"loss": 0.0483,
|
687 |
+
"step": 113
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.34,
|
691 |
+
"learning_rate": 0.0003,
|
692 |
+
"loss": 0.0023,
|
693 |
"step": 114
|
694 |
},
|
695 |
{
|
696 |
"epoch": 0.34,
|
697 |
"learning_rate": 0.0003,
|
698 |
+
"loss": 0.0,
|
699 |
+
"step": 115
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.34,
|
703 |
+
"learning_rate": 0.0003,
|
704 |
+
"loss": 0.0003,
|
705 |
"step": 116
|
706 |
},
|
707 |
{
|
708 |
"epoch": 0.35,
|
709 |
"learning_rate": 0.0003,
|
710 |
+
"loss": 0.0061,
|
711 |
+
"step": 117
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.35,
|
715 |
+
"learning_rate": 0.0003,
|
716 |
+
"loss": 0.0931,
|
717 |
+
"step": 118
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.35,
|
721 |
+
"learning_rate": 0.0003,
|
722 |
+
"loss": 0.0001,
|
723 |
+
"step": 119
|
724 |
},
|
725 |
{
|
726 |
"epoch": 0.36,
|
727 |
"learning_rate": 0.0003,
|
728 |
+
"loss": 0.26,
|
729 |
"step": 120
|
730 |
},
|
731 |
{
|
732 |
"epoch": 0.36,
|
733 |
"learning_rate": 0.0003,
|
734 |
+
"loss": 0.0312,
|
735 |
+
"step": 121
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.36,
|
739 |
+
"learning_rate": 0.0003,
|
740 |
+
"loss": 0.0001,
|
741 |
"step": 122
|
742 |
},
|
743 |
+
{
|
744 |
+
"epoch": 0.36,
|
745 |
+
"learning_rate": 0.0003,
|
746 |
+
"loss": 0.014,
|
747 |
+
"step": 123
|
748 |
+
},
|
749 |
{
|
750 |
"epoch": 0.37,
|
751 |
"learning_rate": 0.0003,
|
752 |
+
"loss": 0.1177,
|
753 |
"step": 124
|
754 |
},
|
755 |
{
|
756 |
"epoch": 0.37,
|
757 |
"learning_rate": 0.0003,
|
758 |
+
"loss": 0.0004,
|
759 |
+
"step": 125
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.37,
|
763 |
+
"learning_rate": 0.0003,
|
764 |
+
"loss": 0.0001,
|
765 |
"step": 126
|
766 |
},
|
767 |
{
|
768 |
"epoch": 0.38,
|
769 |
"learning_rate": 0.0003,
|
770 |
+
"loss": 0.0024,
|
771 |
+
"step": 127
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.38,
|
775 |
+
"learning_rate": 0.0003,
|
776 |
+
"loss": 0.0107,
|
777 |
"step": 128
|
778 |
},
|
779 |
+
{
|
780 |
+
"epoch": 0.38,
|
781 |
+
"learning_rate": 0.0003,
|
782 |
+
"loss": 0.0001,
|
783 |
+
"step": 129
|
784 |
+
},
|
785 |
{
|
786 |
"epoch": 0.39,
|
787 |
"learning_rate": 0.0003,
|
788 |
+
"loss": 0.0011,
|
789 |
"step": 130
|
790 |
},
|
791 |
{
|
792 |
"epoch": 0.39,
|
793 |
"learning_rate": 0.0003,
|
794 |
+
"loss": 0.0986,
|
795 |
+
"step": 131
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.39,
|
799 |
+
"learning_rate": 0.0003,
|
800 |
+
"loss": 0.0258,
|
801 |
"step": 132
|
802 |
},
|
803 |
+
{
|
804 |
+
"epoch": 0.39,
|
805 |
+
"learning_rate": 0.0003,
|
806 |
+
"loss": 0.0011,
|
807 |
+
"step": 133
|
808 |
+
},
|
809 |
{
|
810 |
"epoch": 0.4,
|
811 |
"learning_rate": 0.0003,
|
812 |
+
"loss": 0.0722,
|
813 |
"step": 134
|
814 |
},
|
815 |
{
|
816 |
"epoch": 0.4,
|
817 |
"learning_rate": 0.0003,
|
818 |
+
"loss": 0.0013,
|
819 |
+
"step": 135
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.4,
|
823 |
+
"learning_rate": 0.0003,
|
824 |
+
"loss": 0.004,
|
825 |
"step": 136
|
826 |
},
|
827 |
{
|
828 |
"epoch": 0.41,
|
829 |
"learning_rate": 0.0003,
|
830 |
+
"loss": 0.0001,
|
831 |
+
"step": 137
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 0.41,
|
835 |
+
"learning_rate": 0.0003,
|
836 |
+
"loss": 0.0009,
|
837 |
"step": 138
|
838 |
},
|
839 |
+
{
|
840 |
+
"epoch": 0.41,
|
841 |
+
"learning_rate": 0.0003,
|
842 |
+
"loss": 0.0041,
|
843 |
+
"step": 139
|
844 |
+
},
|
845 |
{
|
846 |
"epoch": 0.42,
|
847 |
"learning_rate": 0.0003,
|
848 |
+
"loss": 0.014,
|
849 |
"step": 140
|
850 |
},
|
851 |
{
|
852 |
"epoch": 0.42,
|
853 |
"learning_rate": 0.0003,
|
854 |
+
"loss": 0.0018,
|
855 |
+
"step": 141
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.42,
|
859 |
+
"learning_rate": 0.0003,
|
860 |
+
"loss": 0.008,
|
861 |
"step": 142
|
862 |
},
|
863 |
+
{
|
864 |
+
"epoch": 0.42,
|
865 |
+
"learning_rate": 0.0003,
|
866 |
+
"loss": 0.0126,
|
867 |
+
"step": 143
|
868 |
+
},
|
869 |
{
|
870 |
"epoch": 0.43,
|
871 |
"learning_rate": 0.0003,
|
872 |
+
"loss": 0.0002,
|
873 |
"step": 144
|
874 |
},
|
875 |
{
|
876 |
"epoch": 0.43,
|
877 |
"learning_rate": 0.0003,
|
878 |
+
"loss": 0.0,
|
879 |
+
"step": 145
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.43,
|
883 |
+
"learning_rate": 0.0003,
|
884 |
+
"loss": 0.0,
|
885 |
"step": 146
|
886 |
},
|
887 |
{
|
888 |
"epoch": 0.44,
|
889 |
"learning_rate": 0.0003,
|
890 |
+
"loss": 0.0988,
|
891 |
+
"step": 147
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.44,
|
895 |
+
"learning_rate": 0.0003,
|
896 |
+
"loss": 0.036,
|
897 |
"step": 148
|
898 |
},
|
899 |
+
{
|
900 |
+
"epoch": 0.44,
|
901 |
+
"learning_rate": 0.0003,
|
902 |
+
"loss": 0.0506,
|
903 |
+
"step": 149
|
904 |
+
},
|
905 |
{
|
906 |
"epoch": 0.45,
|
907 |
"learning_rate": 0.0003,
|
908 |
+
"loss": 0.0327,
|
909 |
"step": 150
|
910 |
},
|
911 |
{
|
912 |
"epoch": 0.45,
|
913 |
"learning_rate": 0.0003,
|
914 |
+
"loss": 0.0302,
|
915 |
+
"step": 151
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 0.45,
|
919 |
+
"learning_rate": 0.0003,
|
920 |
+
"loss": 0.0035,
|
921 |
"step": 152
|
922 |
},
|
923 |
+
{
|
924 |
+
"epoch": 0.45,
|
925 |
+
"learning_rate": 0.0003,
|
926 |
+
"loss": 0.0363,
|
927 |
+
"step": 153
|
928 |
+
},
|
929 |
{
|
930 |
"epoch": 0.46,
|
931 |
"learning_rate": 0.0003,
|
932 |
+
"loss": 0.0001,
|
933 |
"step": 154
|
934 |
},
|
935 |
{
|
936 |
"epoch": 0.46,
|
937 |
"learning_rate": 0.0003,
|
938 |
+
"loss": 0.0002,
|
939 |
+
"step": 155
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.46,
|
943 |
+
"learning_rate": 0.0003,
|
944 |
+
"loss": 0.0002,
|
945 |
"step": 156
|
946 |
},
|
947 |
{
|
948 |
"epoch": 0.47,
|
949 |
"learning_rate": 0.0003,
|
950 |
+
"loss": 0.001,
|
951 |
+
"step": 157
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.47,
|
955 |
+
"learning_rate": 0.0003,
|
956 |
+
"loss": 0.0,
|
957 |
"step": 158
|
958 |
},
|
959 |
{
|
960 |
"epoch": 0.47,
|
961 |
"learning_rate": 0.0003,
|
962 |
+
"loss": 0.0008,
|
963 |
+
"step": 159
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.47,
|
967 |
+
"learning_rate": 0.0003,
|
968 |
+
"loss": 0.0015,
|
969 |
"step": 160
|
970 |
},
|
971 |
{
|
972 |
"epoch": 0.48,
|
973 |
"learning_rate": 0.0003,
|
974 |
+
"loss": 0.0074,
|
975 |
+
"step": 161
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.48,
|
979 |
+
"learning_rate": 0.0003,
|
980 |
+
"loss": 0.0079,
|
981 |
"step": 162
|
982 |
},
|
983 |
+
{
|
984 |
+
"epoch": 0.48,
|
985 |
+
"learning_rate": 0.0003,
|
986 |
+
"loss": 0.0184,
|
987 |
+
"step": 163
|
988 |
+
},
|
989 |
{
|
990 |
"epoch": 0.49,
|
991 |
"learning_rate": 0.0003,
|
992 |
+
"loss": 0.0757,
|
993 |
"step": 164
|
994 |
},
|
995 |
{
|
996 |
"epoch": 0.49,
|
997 |
"learning_rate": 0.0003,
|
998 |
+
"loss": 0.0331,
|
999 |
+
"step": 165
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.49,
|
1003 |
+
"learning_rate": 0.0003,
|
1004 |
+
"loss": 0.0016,
|
1005 |
"step": 166
|
1006 |
},
|
1007 |
{
|
1008 |
"epoch": 0.5,
|
1009 |
"learning_rate": 0.0003,
|
1010 |
+
"loss": 0.0067,
|
1011 |
+
"step": 167
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.5,
|
1015 |
+
"learning_rate": 0.0003,
|
1016 |
+
"loss": 0.1215,
|
1017 |
"step": 168
|
1018 |
},
|
1019 |
{
|
1020 |
"epoch": 0.5,
|
1021 |
"learning_rate": 0.0003,
|
1022 |
+
"loss": 0.0454,
|
1023 |
+
"step": 169
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.5,
|
1027 |
+
"learning_rate": 0.0003,
|
1028 |
+
"loss": 0.0011,
|
1029 |
"step": 170
|
1030 |
},
|
1031 |
{
|
1032 |
"epoch": 0.51,
|
1033 |
"learning_rate": 0.0003,
|
1034 |
+
"loss": 0.0055,
|
1035 |
+
"step": 171
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.51,
|
1039 |
+
"learning_rate": 0.0003,
|
1040 |
+
"loss": 0.0212,
|
1041 |
"step": 172
|
1042 |
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.51,
|
1045 |
+
"learning_rate": 0.0003,
|
1046 |
+
"loss": 0.0003,
|
1047 |
+
"step": 173
|
1048 |
+
},
|
1049 |
{
|
1050 |
"epoch": 0.52,
|
1051 |
"learning_rate": 0.0003,
|
1052 |
+
"loss": 0.0555,
|
1053 |
"step": 174
|
1054 |
},
|
1055 |
{
|
1056 |
"epoch": 0.52,
|
1057 |
"learning_rate": 0.0003,
|
1058 |
+
"loss": 0.0003,
|
1059 |
+
"step": 175
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.52,
|
1063 |
+
"learning_rate": 0.0003,
|
1064 |
+
"loss": 0.0001,
|
1065 |
"step": 176
|
1066 |
},
|
1067 |
{
|
1068 |
"epoch": 0.53,
|
1069 |
"learning_rate": 0.0003,
|
1070 |
+
"loss": 0.0003,
|
1071 |
+
"step": 177
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 0.53,
|
1075 |
+
"learning_rate": 0.0003,
|
1076 |
+
"loss": 0.022,
|
1077 |
"step": 178
|
1078 |
},
|
1079 |
{
|
1080 |
"epoch": 0.53,
|
1081 |
"learning_rate": 0.0003,
|
1082 |
+
"loss": 0.0,
|
1083 |
+
"step": 179
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.53,
|
1087 |
+
"learning_rate": 0.0003,
|
1088 |
+
"loss": 0.0105,
|
1089 |
"step": 180
|
1090 |
},
|
1091 |
{
|
1092 |
"epoch": 0.54,
|
1093 |
"learning_rate": 0.0003,
|
1094 |
+
"loss": 0.1473,
|
1095 |
+
"step": 181
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.54,
|
1099 |
+
"learning_rate": 0.0003,
|
1100 |
+
"loss": 0.0004,
|
1101 |
"step": 182
|
1102 |
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.54,
|
1105 |
+
"learning_rate": 0.0003,
|
1106 |
+
"loss": 0.1501,
|
1107 |
+
"step": 183
|
1108 |
+
},
|
1109 |
{
|
1110 |
"epoch": 0.55,
|
1111 |
"learning_rate": 0.0003,
|
1112 |
+
"loss": 0.0053,
|
1113 |
"step": 184
|
1114 |
},
|
1115 |
{
|
1116 |
"epoch": 0.55,
|
1117 |
"learning_rate": 0.0003,
|
1118 |
+
"loss": 0.0006,
|
1119 |
+
"step": 185
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.55,
|
1123 |
+
"learning_rate": 0.0003,
|
1124 |
+
"loss": 0.0046,
|
1125 |
"step": 186
|
1126 |
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.55,
|
1129 |
+
"learning_rate": 0.0003,
|
1130 |
+
"loss": 0.0079,
|
1131 |
+
"step": 187
|
1132 |
+
},
|
1133 |
{
|
1134 |
"epoch": 0.56,
|
1135 |
"learning_rate": 0.0003,
|
1136 |
+
"loss": 0.0014,
|
1137 |
"step": 188
|
1138 |
},
|
1139 |
{
|
1140 |
"epoch": 0.56,
|
1141 |
"learning_rate": 0.0003,
|
1142 |
+
"loss": 0.0115,
|
1143 |
+
"step": 189
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.56,
|
1147 |
+
"learning_rate": 0.0003,
|
1148 |
+
"loss": 0.0789,
|
1149 |
"step": 190
|
1150 |
},
|
1151 |
{
|
1152 |
"epoch": 0.57,
|
1153 |
"learning_rate": 0.0003,
|
1154 |
+
"loss": 0.0899,
|
1155 |
+
"step": 191
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 0.57,
|
1159 |
+
"learning_rate": 0.0003,
|
1160 |
+
"loss": 0.0006,
|
1161 |
"step": 192
|
1162 |
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.57,
|
1165 |
+
"learning_rate": 0.0003,
|
1166 |
+
"loss": 0.0192,
|
1167 |
+
"step": 193
|
1168 |
+
},
|
1169 |
{
|
1170 |
"epoch": 0.58,
|
1171 |
"learning_rate": 0.0003,
|
1172 |
+
"loss": 0.0609,
|
1173 |
"step": 194
|
1174 |
},
|
1175 |
{
|
1176 |
"epoch": 0.58,
|
1177 |
"learning_rate": 0.0003,
|
1178 |
+
"loss": 0.0001,
|
1179 |
+
"step": 195
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.58,
|
1183 |
+
"learning_rate": 0.0003,
|
1184 |
+
"loss": 0.013,
|
1185 |
"step": 196
|
1186 |
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.58,
|
1189 |
+
"learning_rate": 0.0003,
|
1190 |
+
"loss": 0.1091,
|
1191 |
+
"step": 197
|
1192 |
+
},
|
1193 |
{
|
1194 |
"epoch": 0.59,
|
1195 |
"learning_rate": 0.0003,
|
1196 |
+
"loss": 0.0011,
|
1197 |
"step": 198
|
1198 |
},
|
1199 |
{
|
1200 |
"epoch": 0.59,
|
1201 |
"learning_rate": 0.0003,
|
1202 |
+
"loss": 0.0686,
|
1203 |
+
"step": 199
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.59,
|
1207 |
+
"learning_rate": 0.0003,
|
1208 |
+
"loss": 0.0117,
|
1209 |
"step": 200
|
1210 |
},
|
1211 |
{
|
1212 |
"epoch": 0.6,
|
1213 |
"learning_rate": 0.0003,
|
1214 |
+
"loss": 0.0357,
|
1215 |
+
"step": 201
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 0.6,
|
1219 |
+
"learning_rate": 0.0003,
|
1220 |
+
"loss": 0.0004,
|
1221 |
"step": 202
|
1222 |
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.6,
|
1225 |
+
"learning_rate": 0.0003,
|
1226 |
+
"loss": 0.0273,
|
1227 |
+
"step": 203
|
1228 |
+
},
|
1229 |
{
|
1230 |
"epoch": 0.61,
|
1231 |
"learning_rate": 0.0003,
|
1232 |
+
"loss": 0.0635,
|
1233 |
"step": 204
|
1234 |
},
|
1235 |
{
|
1236 |
"epoch": 0.61,
|
1237 |
"learning_rate": 0.0003,
|
1238 |
+
"loss": 0.0001,
|
1239 |
+
"step": 205
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.61,
|
1243 |
+
"learning_rate": 0.0003,
|
1244 |
+
"loss": 0.0447,
|
1245 |
"step": 206
|
1246 |
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.61,
|
1249 |
+
"learning_rate": 0.0003,
|
1250 |
+
"loss": 0.0,
|
1251 |
+
"step": 207
|
1252 |
+
},
|
1253 |
{
|
1254 |
"epoch": 0.62,
|
1255 |
"learning_rate": 0.0003,
|
1256 |
+
"loss": 0.0,
|
1257 |
"step": 208
|
1258 |
},
|
1259 |
{
|
1260 |
"epoch": 0.62,
|
1261 |
"learning_rate": 0.0003,
|
1262 |
+
"loss": 0.0422,
|
1263 |
+
"step": 209
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.62,
|
1267 |
+
"learning_rate": 0.0003,
|
1268 |
+
"loss": 0.0302,
|
1269 |
"step": 210
|
1270 |
},
|
1271 |
{
|
1272 |
"epoch": 0.63,
|
1273 |
"learning_rate": 0.0003,
|
1274 |
+
"loss": 0.0032,
|
1275 |
+
"step": 211
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.63,
|
1279 |
+
"learning_rate": 0.0003,
|
1280 |
+
"loss": 0.0002,
|
1281 |
"step": 212
|
1282 |
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.63,
|
1285 |
+
"learning_rate": 0.0003,
|
1286 |
+
"loss": 0.0002,
|
1287 |
+
"step": 213
|
1288 |
+
},
|
1289 |
{
|
1290 |
"epoch": 0.64,
|
1291 |
"learning_rate": 0.0003,
|
1292 |
+
"loss": 0.0339,
|
1293 |
"step": 214
|
1294 |
},
|
1295 |
{
|
1296 |
"epoch": 0.64,
|
1297 |
"learning_rate": 0.0003,
|
1298 |
+
"loss": 0.0074,
|
1299 |
+
"step": 215
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 0.64,
|
1303 |
+
"learning_rate": 0.0003,
|
1304 |
+
"loss": 0.0443,
|
1305 |
"step": 216
|
1306 |
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.64,
|
1309 |
+
"learning_rate": 0.0003,
|
1310 |
+
"loss": 0.0769,
|
1311 |
+
"step": 217
|
1312 |
+
},
|
1313 |
{
|
1314 |
"epoch": 0.65,
|
1315 |
"learning_rate": 0.0003,
|
1316 |
+
"loss": 0.0,
|
1317 |
"step": 218
|
1318 |
},
|
1319 |
{
|
1320 |
"epoch": 0.65,
|
1321 |
"learning_rate": 0.0003,
|
1322 |
+
"loss": 0.0008,
|
1323 |
+
"step": 219
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 0.65,
|
1327 |
+
"learning_rate": 0.0003,
|
1328 |
+
"loss": 0.0,
|
1329 |
"step": 220
|
1330 |
},
|
1331 |
{
|
1332 |
"epoch": 0.66,
|
1333 |
"learning_rate": 0.0003,
|
1334 |
+
"loss": 0.0643,
|
1335 |
+
"step": 221
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.66,
|
1339 |
+
"learning_rate": 0.0003,
|
1340 |
+
"loss": 0.0004,
|
1341 |
"step": 222
|
1342 |
},
|
1343 |
{
|
1344 |
"epoch": 0.66,
|
1345 |
"learning_rate": 0.0003,
|
1346 |
+
"loss": 0.0009,
|
1347 |
+
"step": 223
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.66,
|
1351 |
+
"learning_rate": 0.0003,
|
1352 |
+
"loss": 0.0031,
|
1353 |
"step": 224
|
1354 |
},
|
1355 |
{
|
1356 |
"epoch": 0.67,
|
1357 |
"learning_rate": 0.0003,
|
1358 |
+
"loss": 0.1344,
|
1359 |
+
"step": 225
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.67,
|
1363 |
+
"learning_rate": 0.0003,
|
1364 |
+
"loss": 0.0252,
|
1365 |
"step": 226
|
1366 |
},
|
1367 |
+
{
|
1368 |
+
"epoch": 0.67,
|
1369 |
+
"learning_rate": 0.0003,
|
1370 |
+
"loss": 0.0001,
|
1371 |
+
"step": 227
|
1372 |
+
},
|
1373 |
{
|
1374 |
"epoch": 0.68,
|
1375 |
"learning_rate": 0.0003,
|
1376 |
+
"loss": 0.0059,
|
1377 |
"step": 228
|
1378 |
},
|
1379 |
{
|
1380 |
"epoch": 0.68,
|
1381 |
"learning_rate": 0.0003,
|
1382 |
+
"loss": 0.0,
|
1383 |
+
"step": 229
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 0.68,
|
1387 |
+
"learning_rate": 0.0003,
|
1388 |
+
"loss": 0.0002,
|
1389 |
"step": 230
|
1390 |
},
|
1391 |
{
|
1392 |
"epoch": 0.69,
|
1393 |
"learning_rate": 0.0003,
|
1394 |
+
"loss": 0.0069,
|
1395 |
+
"step": 231
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.69,
|
1399 |
+
"learning_rate": 0.0003,
|
1400 |
+
"loss": 0.0014,
|
1401 |
"step": 232
|
1402 |
},
|
1403 |
{
|
1404 |
"epoch": 0.69,
|
1405 |
"learning_rate": 0.0003,
|
1406 |
+
"loss": 0.0046,
|
1407 |
+
"step": 233
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 0.69,
|
1411 |
+
"learning_rate": 0.0003,
|
1412 |
+
"loss": 0.0007,
|
1413 |
"step": 234
|
1414 |
},
|
1415 |
{
|
1416 |
"epoch": 0.7,
|
1417 |
"learning_rate": 0.0003,
|
1418 |
+
"loss": 0.0052,
|
1419 |
+
"step": 235
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.7,
|
1423 |
+
"learning_rate": 0.0003,
|
1424 |
+
"loss": 0.0001,
|
1425 |
"step": 236
|
1426 |
},
|
1427 |
+
{
|
1428 |
+
"epoch": 0.7,
|
1429 |
+
"learning_rate": 0.0003,
|
1430 |
+
"loss": 0.0,
|
1431 |
+
"step": 237
|
1432 |
+
},
|
1433 |
{
|
1434 |
"epoch": 0.71,
|
1435 |
"learning_rate": 0.0003,
|
1436 |
+
"loss": 0.0001,
|
1437 |
"step": 238
|
1438 |
},
|
1439 |
{
|
1440 |
"epoch": 0.71,
|
1441 |
"learning_rate": 0.0003,
|
1442 |
+
"loss": 0.0021,
|
1443 |
+
"step": 239
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.71,
|
1447 |
+
"learning_rate": 0.0003,
|
1448 |
+
"loss": 0.1248,
|
1449 |
"step": 240
|
1450 |
},
|
1451 |
{
|
1452 |
"epoch": 0.72,
|
1453 |
"learning_rate": 0.0003,
|
1454 |
+
"loss": 0.0312,
|
1455 |
+
"step": 241
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 0.72,
|
1459 |
+
"learning_rate": 0.0003,
|
1460 |
+
"loss": 0.0551,
|
1461 |
"step": 242
|
1462 |
},
|
1463 |
{
|
1464 |
"epoch": 0.72,
|
1465 |
"learning_rate": 0.0003,
|
1466 |
+
"loss": 0.0,
|
1467 |
+
"step": 243
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 0.72,
|
1471 |
+
"learning_rate": 0.0003,
|
1472 |
+
"loss": 0.0502,
|
1473 |
"step": 244
|
1474 |
},
|
1475 |
{
|
1476 |
"epoch": 0.73,
|
1477 |
"learning_rate": 0.0003,
|
1478 |
+
"loss": 0.0007,
|
1479 |
+
"step": 245
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.73,
|
1483 |
+
"learning_rate": 0.0003,
|
1484 |
+
"loss": 0.0689,
|
1485 |
"step": 246
|
1486 |
},
|
1487 |
+
{
|
1488 |
+
"epoch": 0.73,
|
1489 |
+
"learning_rate": 0.0003,
|
1490 |
+
"loss": 0.0464,
|
1491 |
+
"step": 247
|
1492 |
+
},
|
1493 |
{
|
1494 |
"epoch": 0.74,
|
1495 |
"learning_rate": 0.0003,
|
1496 |
+
"loss": 0.0093,
|
1497 |
"step": 248
|
1498 |
},
|
1499 |
{
|
1500 |
"epoch": 0.74,
|
1501 |
"learning_rate": 0.0003,
|
1502 |
+
"loss": 0.0002,
|
1503 |
+
"step": 249
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 0.74,
|
1507 |
+
"learning_rate": 0.0003,
|
1508 |
+
"loss": 0.0187,
|
1509 |
"step": 250
|
1510 |
},
|
1511 |
+
{
|
1512 |
+
"epoch": 0.74,
|
1513 |
+
"learning_rate": 0.0003,
|
1514 |
+
"loss": 0.0001,
|
1515 |
+
"step": 251
|
1516 |
+
},
|
1517 |
{
|
1518 |
"epoch": 0.75,
|
1519 |
"learning_rate": 0.0003,
|
1520 |
+
"loss": 0.0009,
|
1521 |
"step": 252
|
1522 |
},
|
1523 |
{
|
1524 |
"epoch": 0.75,
|
1525 |
"learning_rate": 0.0003,
|
1526 |
+
"loss": 0.0559,
|
1527 |
+
"step": 253
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 0.75,
|
1531 |
+
"learning_rate": 0.0003,
|
1532 |
+
"loss": 0.0118,
|
1533 |
"step": 254
|
1534 |
},
|
1535 |
{
|
1536 |
"epoch": 0.76,
|
1537 |
"learning_rate": 0.0003,
|
1538 |
+
"loss": 0.1187,
|
1539 |
+
"step": 255
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 0.76,
|
1543 |
+
"learning_rate": 0.0003,
|
1544 |
+
"loss": 0.091,
|
1545 |
"step": 256
|
1546 |
},
|
1547 |
+
{
|
1548 |
+
"epoch": 0.76,
|
1549 |
+
"learning_rate": 0.0003,
|
1550 |
+
"loss": 0.03,
|
1551 |
+
"step": 257
|
1552 |
+
},
|
1553 |
{
|
1554 |
"epoch": 0.77,
|
1555 |
"learning_rate": 0.0003,
|
1556 |
+
"loss": 0.0,
|
1557 |
"step": 258
|
1558 |
},
|
1559 |
{
|
1560 |
"epoch": 0.77,
|
1561 |
"learning_rate": 0.0003,
|
1562 |
+
"loss": 0.0648,
|
1563 |
+
"step": 259
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.77,
|
1567 |
+
"learning_rate": 0.0003,
|
1568 |
+
"loss": 0.0601,
|
1569 |
"step": 260
|
1570 |
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.77,
|
1573 |
+
"learning_rate": 0.0003,
|
1574 |
+
"loss": 0.0009,
|
1575 |
+
"step": 261
|
1576 |
+
},
|
1577 |
{
|
1578 |
"epoch": 0.78,
|
1579 |
"learning_rate": 0.0003,
|
1580 |
+
"loss": 0.0,
|
1581 |
"step": 262
|
1582 |
},
|
1583 |
{
|
1584 |
"epoch": 0.78,
|
1585 |
"learning_rate": 0.0003,
|
1586 |
+
"loss": 0.0007,
|
1587 |
+
"step": 263
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 0.78,
|
1591 |
+
"learning_rate": 0.0003,
|
1592 |
+
"loss": 0.0003,
|
1593 |
"step": 264
|
1594 |
},
|
1595 |
{
|
1596 |
"epoch": 0.79,
|
1597 |
"learning_rate": 0.0003,
|
1598 |
+
"loss": 0.1255,
|
1599 |
+
"step": 265
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.79,
|
1603 |
+
"learning_rate": 0.0003,
|
1604 |
+
"loss": 0.0022,
|
1605 |
"step": 266
|
1606 |
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.79,
|
1609 |
+
"learning_rate": 0.0003,
|
1610 |
+
"loss": 0.0001,
|
1611 |
+
"step": 267
|
1612 |
+
},
|
1613 |
{
|
1614 |
"epoch": 0.8,
|
1615 |
"learning_rate": 0.0003,
|
1616 |
+
"loss": 0.0656,
|
1617 |
"step": 268
|
1618 |
},
|
1619 |
{
|
1620 |
"epoch": 0.8,
|
1621 |
"learning_rate": 0.0003,
|
1622 |
+
"loss": 0.0612,
|
1623 |
+
"step": 269
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 0.8,
|
1627 |
+
"learning_rate": 0.0003,
|
1628 |
+
"loss": 0.1666,
|
1629 |
"step": 270
|
1630 |
},
|
1631 |
+
{
|
1632 |
+
"epoch": 0.8,
|
1633 |
+
"learning_rate": 0.0003,
|
1634 |
+
"loss": 0.0109,
|
1635 |
+
"step": 271
|
1636 |
+
},
|
1637 |
{
|
1638 |
"epoch": 0.81,
|
1639 |
"learning_rate": 0.0003,
|
1640 |
+
"loss": 0.0437,
|
1641 |
"step": 272
|
1642 |
},
|
1643 |
{
|
1644 |
"epoch": 0.81,
|
1645 |
"learning_rate": 0.0003,
|
1646 |
+
"loss": 0.0043,
|
1647 |
+
"step": 273
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.81,
|
1651 |
+
"learning_rate": 0.0003,
|
1652 |
+
"loss": 0.0067,
|
1653 |
"step": 274
|
1654 |
},
|
1655 |
{
|
1656 |
"epoch": 0.82,
|
1657 |
"learning_rate": 0.0003,
|
1658 |
+
"loss": 0.0006,
|
1659 |
+
"step": 275
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 0.82,
|
1663 |
+
"learning_rate": 0.0003,
|
1664 |
+
"loss": 0.0003,
|
1665 |
"step": 276
|
1666 |
},
|
1667 |
{
|
1668 |
"epoch": 0.82,
|
1669 |
"learning_rate": 0.0003,
|
1670 |
+
"loss": 0.0004,
|
1671 |
+
"step": 277
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 0.82,
|
1675 |
+
"learning_rate": 0.0003,
|
1676 |
+
"loss": 0.0576,
|
1677 |
"step": 278
|
1678 |
},
|
1679 |
{
|
1680 |
"epoch": 0.83,
|
1681 |
"learning_rate": 0.0003,
|
1682 |
+
"loss": 0.0418,
|
1683 |
+
"step": 279
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 0.83,
|
1687 |
+
"learning_rate": 0.0003,
|
1688 |
+
"loss": 0.0165,
|
1689 |
"step": 280
|
1690 |
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.83,
|
1693 |
+
"learning_rate": 0.0003,
|
1694 |
+
"loss": 0.0055,
|
1695 |
+
"step": 281
|
1696 |
+
},
|
1697 |
{
|
1698 |
"epoch": 0.84,
|
1699 |
"learning_rate": 0.0003,
|
1700 |
+
"loss": 0.002,
|
1701 |
"step": 282
|
1702 |
},
|
1703 |
{
|
1704 |
"epoch": 0.84,
|
1705 |
"learning_rate": 0.0003,
|
1706 |
+
"loss": 0.0,
|
1707 |
+
"step": 283
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 0.84,
|
1711 |
+
"learning_rate": 0.0003,
|
1712 |
+
"loss": 0.0012,
|
1713 |
"step": 284
|
1714 |
},
|
1715 |
{
|
1716 |
"epoch": 0.85,
|
1717 |
"learning_rate": 0.0003,
|
1718 |
+
"loss": 0.0001,
|
1719 |
+
"step": 285
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 0.85,
|
1723 |
+
"learning_rate": 0.0003,
|
1724 |
+
"loss": 0.0092,
|
1725 |
"step": 286
|
1726 |
},
|
1727 |
{
|
1728 |
"epoch": 0.85,
|
1729 |
"learning_rate": 0.0003,
|
1730 |
+
"loss": 0.0131,
|
1731 |
+
"step": 287
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.85,
|
1735 |
+
"learning_rate": 0.0003,
|
1736 |
+
"loss": 0.0,
|
1737 |
"step": 288
|
1738 |
},
|
1739 |
{
|
1740 |
"epoch": 0.86,
|
1741 |
"learning_rate": 0.0003,
|
1742 |
+
"loss": 0.0059,
|
1743 |
+
"step": 289
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 0.86,
|
1747 |
+
"learning_rate": 0.0003,
|
1748 |
+
"loss": 0.0659,
|
1749 |
"step": 290
|
1750 |
},
|
1751 |
+
{
|
1752 |
+
"epoch": 0.86,
|
1753 |
+
"learning_rate": 0.0003,
|
1754 |
+
"loss": 0.0037,
|
1755 |
+
"step": 291
|
1756 |
+
},
|
1757 |
{
|
1758 |
"epoch": 0.87,
|
1759 |
"learning_rate": 0.0003,
|
1760 |
+
"loss": 0.0069,
|
1761 |
"step": 292
|
1762 |
},
|
1763 |
{
|
1764 |
"epoch": 0.87,
|
1765 |
"learning_rate": 0.0003,
|
1766 |
+
"loss": 0.0004,
|
1767 |
+
"step": 293
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 0.87,
|
1771 |
+
"learning_rate": 0.0003,
|
1772 |
+
"loss": 0.0194,
|
1773 |
"step": 294
|
1774 |
},
|
1775 |
{
|
1776 |
"epoch": 0.88,
|
1777 |
"learning_rate": 0.0003,
|
1778 |
+
"loss": 0.0022,
|
1779 |
+
"step": 295
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 0.88,
|
1783 |
+
"learning_rate": 0.0003,
|
1784 |
+
"loss": 0.0,
|
1785 |
"step": 296
|
1786 |
},
|
1787 |
{
|
1788 |
"epoch": 0.88,
|
1789 |
"learning_rate": 0.0003,
|
1790 |
+
"loss": 0.0,
|
1791 |
+
"step": 297
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 0.88,
|
1795 |
+
"learning_rate": 0.0003,
|
1796 |
+
"loss": 0.0006,
|
1797 |
"step": 298
|
1798 |
},
|
1799 |
{
|
1800 |
"epoch": 0.89,
|
1801 |
"learning_rate": 0.0003,
|
1802 |
+
"loss": 0.0059,
|
1803 |
+
"step": 299
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 0.89,
|
1807 |
+
"learning_rate": 0.0003,
|
1808 |
+
"loss": 0.0002,
|
1809 |
"step": 300
|
1810 |
},
|
1811 |
+
{
|
1812 |
+
"epoch": 0.89,
|
1813 |
+
"learning_rate": 0.0003,
|
1814 |
+
"loss": 0.0029,
|
1815 |
+
"step": 301
|
1816 |
+
},
|
1817 |
{
|
1818 |
"epoch": 0.9,
|
1819 |
"learning_rate": 0.0003,
|
1820 |
+
"loss": 0.0017,
|
1821 |
"step": 302
|
1822 |
},
|
1823 |
{
|
1824 |
"epoch": 0.9,
|
1825 |
"learning_rate": 0.0003,
|
1826 |
+
"loss": 0.0065,
|
1827 |
+
"step": 303
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 0.9,
|
1831 |
+
"learning_rate": 0.0003,
|
1832 |
+
"loss": 0.0223,
|
1833 |
"step": 304
|
1834 |
},
|
1835 |
{
|
1836 |
"epoch": 0.91,
|
1837 |
"learning_rate": 0.0003,
|
1838 |
+
"loss": 0.0321,
|
1839 |
+
"step": 305
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 0.91,
|
1843 |
+
"learning_rate": 0.0003,
|
1844 |
+
"loss": 0.0265,
|
1845 |
"step": 306
|
1846 |
},
|
1847 |
{
|
1848 |
"epoch": 0.91,
|
1849 |
"learning_rate": 0.0003,
|
1850 |
+
"loss": 0.0375,
|
1851 |
+
"step": 307
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 0.91,
|
1855 |
+
"learning_rate": 0.0003,
|
1856 |
+
"loss": 0.001,
|
1857 |
"step": 308
|
1858 |
},
|
1859 |
{
|
1860 |
"epoch": 0.92,
|
1861 |
"learning_rate": 0.0003,
|
1862 |
+
"loss": 0.0018,
|
1863 |
+
"step": 309
|
1864 |
+
},
|
1865 |
+
{
|
1866 |
+
"epoch": 0.92,
|
1867 |
+
"learning_rate": 0.0003,
|
1868 |
+
"loss": 0.0174,
|
1869 |
"step": 310
|
1870 |
},
|
1871 |
+
{
|
1872 |
+
"epoch": 0.92,
|
1873 |
+
"learning_rate": 0.0003,
|
1874 |
+
"loss": 0.0007,
|
1875 |
+
"step": 311
|
1876 |
+
},
|
1877 |
{
|
1878 |
"epoch": 0.93,
|
1879 |
"learning_rate": 0.0003,
|
1880 |
+
"loss": 0.0007,
|
1881 |
"step": 312
|
1882 |
},
|
1883 |
{
|
1884 |
"epoch": 0.93,
|
1885 |
"learning_rate": 0.0003,
|
1886 |
+
"loss": 0.0005,
|
1887 |
+
"step": 313
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 0.93,
|
1891 |
+
"learning_rate": 0.0003,
|
1892 |
+
"loss": 0.0004,
|
1893 |
"step": 314
|
1894 |
},
|
1895 |
+
{
|
1896 |
+
"epoch": 0.93,
|
1897 |
+
"learning_rate": 0.0003,
|
1898 |
+
"loss": 0.0234,
|
1899 |
+
"step": 315
|
1900 |
+
},
|
1901 |
{
|
1902 |
"epoch": 0.94,
|
1903 |
"learning_rate": 0.0003,
|
1904 |
+
"loss": 0.0003,
|
1905 |
"step": 316
|
1906 |
},
|
1907 |
{
|
1908 |
"epoch": 0.94,
|
1909 |
"learning_rate": 0.0003,
|
1910 |
+
"loss": 0.0386,
|
1911 |
+
"step": 317
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 0.94,
|
1915 |
+
"learning_rate": 0.0003,
|
1916 |
+
"loss": 0.0663,
|
1917 |
"step": 318
|
1918 |
},
|
1919 |
{
|
1920 |
"epoch": 0.95,
|
1921 |
"learning_rate": 0.0003,
|
1922 |
+
"loss": 0.0,
|
1923 |
+
"step": 319
|
1924 |
+
},
|
1925 |
+
{
|
1926 |
+
"epoch": 0.95,
|
1927 |
+
"learning_rate": 0.0003,
|
1928 |
+
"loss": 0.01,
|
1929 |
"step": 320
|
1930 |
},
|
1931 |
+
{
|
1932 |
+
"epoch": 0.95,
|
1933 |
+
"learning_rate": 0.0003,
|
1934 |
+
"loss": 0.0026,
|
1935 |
+
"step": 321
|
1936 |
+
},
|
1937 |
{
|
1938 |
"epoch": 0.96,
|
1939 |
"learning_rate": 0.0003,
|
1940 |
+
"loss": 0.0037,
|
1941 |
"step": 322
|
1942 |
},
|
1943 |
{
|
1944 |
"epoch": 0.96,
|
1945 |
"learning_rate": 0.0003,
|
1946 |
+
"loss": 0.0169,
|
1947 |
+
"step": 323
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 0.96,
|
1951 |
+
"learning_rate": 0.0003,
|
1952 |
+
"loss": 0.0706,
|
1953 |
"step": 324
|
1954 |
},
|
1955 |
+
{
|
1956 |
+
"epoch": 0.96,
|
1957 |
+
"learning_rate": 0.0003,
|
1958 |
+
"loss": 0.0202,
|
1959 |
+
"step": 325
|
1960 |
+
},
|
1961 |
{
|
1962 |
"epoch": 0.97,
|
1963 |
"learning_rate": 0.0003,
|
1964 |
+
"loss": 0.0016,
|
1965 |
"step": 326
|
1966 |
},
|
1967 |
{
|
1968 |
"epoch": 0.97,
|
1969 |
"learning_rate": 0.0003,
|
1970 |
+
"loss": 0.0001,
|
1971 |
+
"step": 327
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 0.97,
|
1975 |
+
"learning_rate": 0.0003,
|
1976 |
+
"loss": 0.1026,
|
1977 |
"step": 328
|
1978 |
},
|
1979 |
{
|
1980 |
"epoch": 0.98,
|
1981 |
"learning_rate": 0.0003,
|
1982 |
+
"loss": 0.0007,
|
1983 |
+
"step": 329
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.98,
|
1987 |
+
"learning_rate": 0.0003,
|
1988 |
+
"loss": 0.0753,
|
1989 |
"step": 330
|
1990 |
},
|
1991 |
+
{
|
1992 |
+
"epoch": 0.98,
|
1993 |
+
"learning_rate": 0.0003,
|
1994 |
+
"loss": 0.0007,
|
1995 |
+
"step": 331
|
1996 |
+
},
|
1997 |
{
|
1998 |
"epoch": 0.99,
|
1999 |
"learning_rate": 0.0003,
|
2000 |
+
"loss": 0.0056,
|
2001 |
"step": 332
|
2002 |
},
|
2003 |
{
|
2004 |
"epoch": 0.99,
|
2005 |
"learning_rate": 0.0003,
|
2006 |
+
"loss": 0.0002,
|
2007 |
+
"step": 333
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 0.99,
|
2011 |
+
"learning_rate": 0.0003,
|
2012 |
+
"loss": 0.1039,
|
2013 |
"step": 334
|
2014 |
},
|
2015 |
+
{
|
2016 |
+
"epoch": 0.99,
|
2017 |
+
"learning_rate": 0.0003,
|
2018 |
+
"loss": 0.0,
|
2019 |
+
"step": 335
|
2020 |
+
},
|
2021 |
{
|
2022 |
"epoch": 1.0,
|
2023 |
"learning_rate": 0.0003,
|
2024 |
+
"loss": 0.0078,
|
2025 |
"step": 336
|
2026 |
},
|
2027 |
+
{
|
2028 |
+
"epoch": 1.0,
|
2029 |
+
"learning_rate": 0.0003,
|
2030 |
+
"loss": 0.0373,
|
2031 |
+
"step": 337
|
2032 |
+
},
|
2033 |
{
|
2034 |
"epoch": 1.0,
|
2035 |
"step": 337,
|
2036 |
+
"total_flos": 1942138071859986.0,
|
2037 |
+
"train_loss": 0.03423183325136451,
|
2038 |
+
"train_runtime": 739.225,
|
2039 |
+
"train_samples_per_second": 14.565,
|
2040 |
+
"train_steps_per_second": 0.456
|
2041 |
}
|
2042 |
],
|
2043 |
+
"logging_steps": 1.0,
|
2044 |
"max_steps": 337,
|
2045 |
"num_train_epochs": 1,
|
2046 |
"save_steps": 500,
|
2047 |
+
"total_flos": 1942138071859986.0,
|
2048 |
"trial_name": null,
|
2049 |
"trial_params": null
|
2050 |
}
|