JEdward7777
commited on
Commit
•
c0290b8
1
Parent(s):
fff5a62
End of training
Browse files- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Dec21_12-30-01_93f77f96eef0/events.out.tfevents.1671629924.93f77f96eef0.928.2 +3 -0
- train_results.json +6 -6
- trainer_state.json +432 -228
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 59.94,
|
3 |
+
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 0.028991766273975372,
|
5 |
+
"eval_runtime": 3.8464,
|
6 |
+
"eval_samples_per_second": 15.339,
|
7 |
+
"eval_steps_per_second": 0.52,
|
8 |
+
"total_flos": 7.88616702456404e+17,
|
9 |
+
"train_loss": 0.4937874893347422,
|
10 |
+
"train_runtime": 3820.3512,
|
11 |
+
"train_samples_per_second": 8.308,
|
12 |
+
"train_steps_per_second": 0.063
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 59.94,
|
3 |
+
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 0.028991766273975372,
|
5 |
+
"eval_runtime": 3.8464,
|
6 |
+
"eval_samples_per_second": 15.339,
|
7 |
+
"eval_steps_per_second": 0.52
|
8 |
}
|
runs/Dec21_12-30-01_93f77f96eef0/events.out.tfevents.1671629924.93f77f96eef0.928.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:69d0d4da283bca6151dcccfde78f9d8488481ef05569af9660ea668856b02886
|
3 |
+
size 363
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 59.94,
|
3 |
+
"total_flos": 7.88616702456404e+17,
|
4 |
+
"train_loss": 0.4937874893347422,
|
5 |
+
"train_runtime": 3820.3512,
|
6 |
+
"train_samples_per_second": 8.308,
|
7 |
+
"train_steps_per_second": 0.063
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,433 +1,637 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0
|
3 |
-
"best_model_checkpoint": "delivery_truck_classification/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.94,
|
12 |
-
"eval_accuracy": 0.
|
13 |
-
"eval_loss": 1.
|
14 |
-
"eval_runtime":
|
15 |
-
"eval_samples_per_second":
|
16 |
-
"eval_steps_per_second": 0.
|
17 |
"step": 4
|
18 |
},
|
19 |
{
|
20 |
"epoch": 1.94,
|
21 |
-
"eval_accuracy": 0.
|
22 |
-
"eval_loss": 1.
|
23 |
-
"eval_runtime": 4.
|
24 |
-
"eval_samples_per_second":
|
25 |
-
"eval_steps_per_second": 0.
|
26 |
"step": 8
|
27 |
},
|
28 |
{
|
29 |
"epoch": 2.94,
|
30 |
-
"eval_accuracy": 0.
|
31 |
-
"eval_loss": 1.
|
32 |
-
"eval_runtime": 3.
|
33 |
-
"eval_samples_per_second":
|
34 |
-
"eval_steps_per_second": 0.
|
35 |
"step": 12
|
36 |
},
|
37 |
{
|
38 |
"epoch": 3.94,
|
39 |
-
"eval_accuracy": 0.
|
40 |
-
"eval_loss": 1.
|
41 |
-
"eval_runtime":
|
42 |
-
"eval_samples_per_second":
|
43 |
-
"eval_steps_per_second": 0.
|
44 |
"step": 16
|
45 |
},
|
46 |
{
|
47 |
"epoch": 4.94,
|
48 |
-
"learning_rate": 4.
|
49 |
-
"loss": 1.
|
50 |
"step": 20
|
51 |
},
|
52 |
{
|
53 |
"epoch": 4.94,
|
54 |
-
"eval_accuracy": 0.
|
55 |
-
"eval_loss":
|
56 |
-
"eval_runtime":
|
57 |
-
"eval_samples_per_second": 14.
|
58 |
-
"eval_steps_per_second": 0.
|
59 |
"step": 20
|
60 |
},
|
61 |
{
|
62 |
"epoch": 5.94,
|
63 |
-
"eval_accuracy": 0.
|
64 |
-
"eval_loss":
|
65 |
-
"eval_runtime":
|
66 |
-
"eval_samples_per_second":
|
67 |
-
"eval_steps_per_second": 0.
|
68 |
"step": 24
|
69 |
},
|
70 |
{
|
71 |
"epoch": 6.94,
|
72 |
-
"eval_accuracy": 0.
|
73 |
-
"eval_loss": 0.
|
74 |
-
"eval_runtime": 4.
|
75 |
-
"eval_samples_per_second":
|
76 |
-
"eval_steps_per_second": 0.
|
77 |
"step": 28
|
78 |
},
|
79 |
{
|
80 |
"epoch": 7.94,
|
81 |
-
"eval_accuracy": 0.
|
82 |
-
"eval_loss": 0.
|
83 |
-
"eval_runtime": 3.
|
84 |
-
"eval_samples_per_second":
|
85 |
-
"eval_steps_per_second": 0.
|
86 |
"step": 32
|
87 |
},
|
88 |
{
|
89 |
"epoch": 8.94,
|
90 |
-
"eval_accuracy": 0.
|
91 |
-
"eval_loss": 0.
|
92 |
-
"eval_runtime": 4.
|
93 |
-
"eval_samples_per_second":
|
94 |
-
"eval_steps_per_second": 0.
|
95 |
"step": 36
|
96 |
},
|
97 |
{
|
98 |
"epoch": 9.94,
|
99 |
-
"learning_rate": 4.
|
100 |
-
"loss": 0.
|
101 |
"step": 40
|
102 |
},
|
103 |
{
|
104 |
"epoch": 9.94,
|
105 |
-
"eval_accuracy": 0.
|
106 |
-
"eval_loss": 0.
|
107 |
-
"eval_runtime":
|
108 |
-
"eval_samples_per_second":
|
109 |
-
"eval_steps_per_second": 0.
|
110 |
"step": 40
|
111 |
},
|
112 |
{
|
113 |
"epoch": 10.94,
|
114 |
-
"eval_accuracy": 0.
|
115 |
-
"eval_loss": 0.
|
116 |
-
"eval_runtime":
|
117 |
-
"eval_samples_per_second":
|
118 |
-
"eval_steps_per_second": 0.
|
119 |
"step": 44
|
120 |
},
|
121 |
{
|
122 |
"epoch": 11.94,
|
123 |
-
"eval_accuracy": 0.
|
124 |
-
"eval_loss": 0.
|
125 |
-
"eval_runtime":
|
126 |
-
"eval_samples_per_second":
|
127 |
-
"eval_steps_per_second": 0.
|
128 |
"step": 48
|
129 |
},
|
130 |
{
|
131 |
"epoch": 12.94,
|
132 |
-
"eval_accuracy": 0.
|
133 |
-
"eval_loss": 0.
|
134 |
-
"eval_runtime": 4.
|
135 |
-
"eval_samples_per_second":
|
136 |
-
"eval_steps_per_second": 0.
|
137 |
"step": 52
|
138 |
},
|
139 |
{
|
140 |
"epoch": 13.94,
|
141 |
-
"eval_accuracy": 0.
|
142 |
-
"eval_loss": 0.
|
143 |
-
"eval_runtime": 3.
|
144 |
-
"eval_samples_per_second":
|
145 |
-
"eval_steps_per_second": 0.
|
146 |
"step": 56
|
147 |
},
|
148 |
{
|
149 |
"epoch": 14.94,
|
150 |
-
"learning_rate":
|
151 |
-
"loss": 0.
|
152 |
"step": 60
|
153 |
},
|
154 |
{
|
155 |
"epoch": 14.94,
|
156 |
"eval_accuracy": 0.9152542372881356,
|
157 |
-
"eval_loss": 0.
|
158 |
-
"eval_runtime": 4.
|
159 |
-
"eval_samples_per_second":
|
160 |
-
"eval_steps_per_second": 0.
|
161 |
"step": 60
|
162 |
},
|
163 |
{
|
164 |
"epoch": 15.94,
|
165 |
-
"eval_accuracy": 0.
|
166 |
-
"eval_loss": 0.
|
167 |
-
"eval_runtime":
|
168 |
-
"eval_samples_per_second":
|
169 |
-
"eval_steps_per_second": 0.
|
170 |
"step": 64
|
171 |
},
|
172 |
{
|
173 |
"epoch": 16.94,
|
174 |
-
"eval_accuracy": 0.
|
175 |
-
"eval_loss": 0.
|
176 |
-
"eval_runtime":
|
177 |
-
"eval_samples_per_second": 14.
|
178 |
-
"eval_steps_per_second": 0.
|
179 |
"step": 68
|
180 |
},
|
181 |
{
|
182 |
"epoch": 17.94,
|
183 |
"eval_accuracy": 0.9322033898305084,
|
184 |
-
"eval_loss": 0.
|
185 |
-
"eval_runtime":
|
186 |
-
"eval_samples_per_second":
|
187 |
-
"eval_steps_per_second": 0.
|
188 |
"step": 72
|
189 |
},
|
190 |
{
|
191 |
"epoch": 18.94,
|
192 |
-
"eval_accuracy": 0.
|
193 |
-
"eval_loss": 0.
|
194 |
-
"eval_runtime": 4.
|
195 |
-
"eval_samples_per_second":
|
196 |
-
"eval_steps_per_second": 0.
|
197 |
"step": 76
|
198 |
},
|
199 |
{
|
200 |
"epoch": 19.94,
|
201 |
-
"learning_rate":
|
202 |
-
"loss": 0.
|
203 |
"step": 80
|
204 |
},
|
205 |
{
|
206 |
"epoch": 19.94,
|
207 |
-
"eval_accuracy": 0.
|
208 |
-
"eval_loss": 0.
|
209 |
-
"eval_runtime": 3.
|
210 |
-
"eval_samples_per_second": 15.
|
211 |
-
"eval_steps_per_second": 0.
|
212 |
"step": 80
|
213 |
},
|
214 |
{
|
215 |
"epoch": 20.94,
|
216 |
-
"eval_accuracy": 0.
|
217 |
-
"eval_loss": 0.
|
218 |
-
"eval_runtime": 4.
|
219 |
-
"eval_samples_per_second": 13.
|
220 |
-
"eval_steps_per_second": 0.
|
221 |
"step": 84
|
222 |
},
|
223 |
{
|
224 |
"epoch": 21.94,
|
225 |
-
"eval_accuracy": 0.
|
226 |
-
"eval_loss": 0.
|
227 |
-
"eval_runtime":
|
228 |
-
"eval_samples_per_second":
|
229 |
-
"eval_steps_per_second": 0.
|
230 |
"step": 88
|
231 |
},
|
232 |
{
|
233 |
"epoch": 22.94,
|
234 |
-
"eval_accuracy": 0.
|
235 |
-
"eval_loss": 0.
|
236 |
-
"eval_runtime":
|
237 |
-
"eval_samples_per_second":
|
238 |
-
"eval_steps_per_second": 0.
|
239 |
"step": 92
|
240 |
},
|
241 |
{
|
242 |
"epoch": 23.94,
|
243 |
-
"eval_accuracy": 0.
|
244 |
-
"eval_loss": 0.
|
245 |
-
"eval_runtime":
|
246 |
-
"eval_samples_per_second":
|
247 |
-
"eval_steps_per_second": 0.
|
248 |
"step": 96
|
249 |
},
|
250 |
{
|
251 |
"epoch": 24.94,
|
252 |
-
"learning_rate":
|
253 |
-
"loss": 0.
|
254 |
"step": 100
|
255 |
},
|
256 |
{
|
257 |
"epoch": 24.94,
|
258 |
-
"eval_accuracy": 0.
|
259 |
-
"eval_loss": 0.
|
260 |
-
"eval_runtime":
|
261 |
-
"eval_samples_per_second": 14.
|
262 |
-
"eval_steps_per_second": 0.
|
263 |
"step": 100
|
264 |
},
|
265 |
{
|
266 |
"epoch": 25.94,
|
267 |
-
"eval_accuracy": 0.
|
268 |
-
"eval_loss": 0.
|
269 |
-
"eval_runtime": 3.
|
270 |
-
"eval_samples_per_second": 15.
|
271 |
-
"eval_steps_per_second": 0.
|
272 |
"step": 104
|
273 |
},
|
274 |
{
|
275 |
"epoch": 26.94,
|
276 |
-
"eval_accuracy": 0.
|
277 |
-
"eval_loss": 0.
|
278 |
-
"eval_runtime":
|
279 |
-
"eval_samples_per_second":
|
280 |
-
"eval_steps_per_second": 0.
|
281 |
"step": 108
|
282 |
},
|
283 |
{
|
284 |
"epoch": 27.94,
|
285 |
-
"eval_accuracy": 0.
|
286 |
-
"eval_loss": 0.
|
287 |
-
"eval_runtime":
|
288 |
-
"eval_samples_per_second":
|
289 |
-
"eval_steps_per_second": 0.
|
290 |
"step": 112
|
291 |
},
|
292 |
{
|
293 |
"epoch": 28.94,
|
294 |
-
"eval_accuracy": 0.
|
295 |
-
"eval_loss": 0.
|
296 |
-
"eval_runtime": 3.
|
297 |
-
"eval_samples_per_second": 15.
|
298 |
-
"eval_steps_per_second": 0.
|
299 |
"step": 116
|
300 |
},
|
301 |
{
|
302 |
"epoch": 29.94,
|
303 |
-
"learning_rate":
|
304 |
-
"loss": 0.
|
305 |
"step": 120
|
306 |
},
|
307 |
{
|
308 |
"epoch": 29.94,
|
309 |
-
"eval_accuracy": 0.
|
310 |
-
"eval_loss": 0.
|
311 |
-
"eval_runtime": 4.
|
312 |
-
"eval_samples_per_second":
|
313 |
-
"eval_steps_per_second": 0.
|
314 |
"step": 120
|
315 |
},
|
316 |
{
|
317 |
"epoch": 30.94,
|
318 |
-
"eval_accuracy": 0.
|
319 |
-
"eval_loss": 0.
|
320 |
-
"eval_runtime":
|
321 |
-
"eval_samples_per_second":
|
322 |
-
"eval_steps_per_second": 0.
|
323 |
"step": 124
|
324 |
},
|
325 |
{
|
326 |
"epoch": 31.94,
|
327 |
-
"eval_accuracy": 0.
|
328 |
-
"eval_loss": 0.
|
329 |
-
"eval_runtime":
|
330 |
-
"eval_samples_per_second": 14.
|
331 |
-
"eval_steps_per_second": 0.
|
332 |
"step": 128
|
333 |
},
|
334 |
{
|
335 |
"epoch": 32.94,
|
336 |
-
"eval_accuracy": 0.
|
337 |
-
"eval_loss": 0.
|
338 |
-
"eval_runtime":
|
339 |
-
"eval_samples_per_second":
|
340 |
-
"eval_steps_per_second": 0.
|
341 |
"step": 132
|
342 |
},
|
343 |
{
|
344 |
"epoch": 33.94,
|
345 |
-
"eval_accuracy": 0.
|
346 |
-
"eval_loss": 0.
|
347 |
-
"eval_runtime":
|
348 |
-
"eval_samples_per_second":
|
349 |
-
"eval_steps_per_second": 0.
|
350 |
"step": 136
|
351 |
},
|
352 |
{
|
353 |
"epoch": 34.94,
|
354 |
-
"learning_rate":
|
355 |
-
"loss": 0.
|
356 |
"step": 140
|
357 |
},
|
358 |
{
|
359 |
"epoch": 34.94,
|
360 |
-
"eval_accuracy": 0.
|
361 |
-
"eval_loss": 0.
|
362 |
-
"eval_runtime":
|
363 |
-
"eval_samples_per_second": 14.
|
364 |
-
"eval_steps_per_second": 0.
|
365 |
"step": 140
|
366 |
},
|
367 |
{
|
368 |
"epoch": 35.94,
|
369 |
-
"eval_accuracy": 0.
|
370 |
-
"eval_loss": 0.
|
371 |
-
"eval_runtime":
|
372 |
-
"eval_samples_per_second":
|
373 |
-
"eval_steps_per_second": 0.
|
374 |
"step": 144
|
375 |
},
|
376 |
{
|
377 |
"epoch": 36.94,
|
378 |
-
"eval_accuracy": 0.
|
379 |
-
"eval_loss": 0.
|
380 |
-
"eval_runtime": 4.
|
381 |
-
"eval_samples_per_second": 14.
|
382 |
-
"eval_steps_per_second": 0.
|
383 |
"step": 148
|
384 |
},
|
385 |
{
|
386 |
"epoch": 37.94,
|
387 |
-
"eval_accuracy": 0.
|
388 |
-
"eval_loss": 0.
|
389 |
-
"eval_runtime": 3.
|
390 |
-
"eval_samples_per_second":
|
391 |
-
"eval_steps_per_second": 0.
|
392 |
"step": 152
|
393 |
},
|
394 |
{
|
395 |
"epoch": 38.94,
|
396 |
-
"eval_accuracy": 0.
|
397 |
-
"eval_loss": 0.
|
398 |
-
"eval_runtime": 4.
|
399 |
-
"eval_samples_per_second": 13.
|
400 |
-
"eval_steps_per_second": 0.
|
401 |
"step": 156
|
402 |
},
|
403 |
{
|
404 |
"epoch": 39.94,
|
405 |
-
"learning_rate":
|
406 |
-
"loss": 0.
|
407 |
"step": 160
|
408 |
},
|
409 |
{
|
410 |
"epoch": 39.94,
|
411 |
-
"eval_accuracy": 0.
|
412 |
-
"eval_loss": 0.
|
413 |
-
"eval_runtime":
|
414 |
-
"eval_samples_per_second":
|
415 |
-
"eval_steps_per_second": 0.
|
416 |
"step": 160
|
417 |
},
|
418 |
{
|
419 |
-
"epoch":
|
420 |
-
"
|
421 |
-
"
|
422 |
-
"
|
423 |
-
"
|
424 |
-
"
|
425 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
426 |
}
|
427 |
],
|
428 |
-
"max_steps":
|
429 |
-
"num_train_epochs":
|
430 |
-
"total_flos":
|
431 |
"trial_name": null,
|
432 |
"trial_params": null
|
433 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 1.0,
|
3 |
+
"best_model_checkpoint": "delivery_truck_classification/checkpoint-172",
|
4 |
+
"epoch": 59.94117647058823,
|
5 |
+
"global_step": 240,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.94,
|
12 |
+
"eval_accuracy": 0.1864406779661017,
|
13 |
+
"eval_loss": 1.9123966693878174,
|
14 |
+
"eval_runtime": 3.7131,
|
15 |
+
"eval_samples_per_second": 15.89,
|
16 |
+
"eval_steps_per_second": 0.539,
|
17 |
"step": 4
|
18 |
},
|
19 |
{
|
20 |
"epoch": 1.94,
|
21 |
+
"eval_accuracy": 0.23728813559322035,
|
22 |
+
"eval_loss": 1.8094592094421387,
|
23 |
+
"eval_runtime": 4.4625,
|
24 |
+
"eval_samples_per_second": 13.221,
|
25 |
+
"eval_steps_per_second": 0.448,
|
26 |
"step": 8
|
27 |
},
|
28 |
{
|
29 |
"epoch": 2.94,
|
30 |
+
"eval_accuracy": 0.3898305084745763,
|
31 |
+
"eval_loss": 1.6757333278656006,
|
32 |
+
"eval_runtime": 3.88,
|
33 |
+
"eval_samples_per_second": 15.206,
|
34 |
+
"eval_steps_per_second": 0.515,
|
35 |
"step": 12
|
36 |
},
|
37 |
{
|
38 |
"epoch": 3.94,
|
39 |
+
"eval_accuracy": 0.5254237288135594,
|
40 |
+
"eval_loss": 1.4906411170959473,
|
41 |
+
"eval_runtime": 3.788,
|
42 |
+
"eval_samples_per_second": 15.576,
|
43 |
+
"eval_steps_per_second": 0.528,
|
44 |
"step": 16
|
45 |
},
|
46 |
{
|
47 |
"epoch": 4.94,
|
48 |
+
"learning_rate": 4.166666666666667e-05,
|
49 |
+
"loss": 1.8286,
|
50 |
"step": 20
|
51 |
},
|
52 |
{
|
53 |
"epoch": 4.94,
|
54 |
+
"eval_accuracy": 0.6440677966101694,
|
55 |
+
"eval_loss": 1.2703886032104492,
|
56 |
+
"eval_runtime": 4.208,
|
57 |
+
"eval_samples_per_second": 14.021,
|
58 |
+
"eval_steps_per_second": 0.475,
|
59 |
"step": 20
|
60 |
},
|
61 |
{
|
62 |
"epoch": 5.94,
|
63 |
+
"eval_accuracy": 0.6779661016949152,
|
64 |
+
"eval_loss": 1.0685124397277832,
|
65 |
+
"eval_runtime": 3.8096,
|
66 |
+
"eval_samples_per_second": 15.487,
|
67 |
+
"eval_steps_per_second": 0.525,
|
68 |
"step": 24
|
69 |
},
|
70 |
{
|
71 |
"epoch": 6.94,
|
72 |
+
"eval_accuracy": 0.7457627118644068,
|
73 |
+
"eval_loss": 0.8031855225563049,
|
74 |
+
"eval_runtime": 4.1542,
|
75 |
+
"eval_samples_per_second": 14.203,
|
76 |
+
"eval_steps_per_second": 0.481,
|
77 |
"step": 28
|
78 |
},
|
79 |
{
|
80 |
"epoch": 7.94,
|
81 |
+
"eval_accuracy": 0.7627118644067796,
|
82 |
+
"eval_loss": 0.6308717131614685,
|
83 |
+
"eval_runtime": 3.7602,
|
84 |
+
"eval_samples_per_second": 15.691,
|
85 |
+
"eval_steps_per_second": 0.532,
|
86 |
"step": 32
|
87 |
},
|
88 |
{
|
89 |
"epoch": 8.94,
|
90 |
+
"eval_accuracy": 0.847457627118644,
|
91 |
+
"eval_loss": 0.49890831112861633,
|
92 |
+
"eval_runtime": 4.1569,
|
93 |
+
"eval_samples_per_second": 14.193,
|
94 |
+
"eval_steps_per_second": 0.481,
|
95 |
"step": 36
|
96 |
},
|
97 |
{
|
98 |
"epoch": 9.94,
|
99 |
+
"learning_rate": 4.62962962962963e-05,
|
100 |
+
"loss": 0.9342,
|
101 |
"step": 40
|
102 |
},
|
103 |
{
|
104 |
"epoch": 9.94,
|
105 |
+
"eval_accuracy": 0.847457627118644,
|
106 |
+
"eval_loss": 0.40634387731552124,
|
107 |
+
"eval_runtime": 3.8202,
|
108 |
+
"eval_samples_per_second": 15.444,
|
109 |
+
"eval_steps_per_second": 0.524,
|
110 |
"step": 40
|
111 |
},
|
112 |
{
|
113 |
"epoch": 10.94,
|
114 |
+
"eval_accuracy": 0.9152542372881356,
|
115 |
+
"eval_loss": 0.26924625039100647,
|
116 |
+
"eval_runtime": 4.1384,
|
117 |
+
"eval_samples_per_second": 14.257,
|
118 |
+
"eval_steps_per_second": 0.483,
|
119 |
"step": 44
|
120 |
},
|
121 |
{
|
122 |
"epoch": 11.94,
|
123 |
+
"eval_accuracy": 0.8983050847457628,
|
124 |
+
"eval_loss": 0.27362605929374695,
|
125 |
+
"eval_runtime": 3.707,
|
126 |
+
"eval_samples_per_second": 15.916,
|
127 |
+
"eval_steps_per_second": 0.54,
|
128 |
"step": 48
|
129 |
},
|
130 |
{
|
131 |
"epoch": 12.94,
|
132 |
+
"eval_accuracy": 0.9322033898305084,
|
133 |
+
"eval_loss": 0.21159349381923676,
|
134 |
+
"eval_runtime": 4.0712,
|
135 |
+
"eval_samples_per_second": 14.492,
|
136 |
+
"eval_steps_per_second": 0.491,
|
137 |
"step": 52
|
138 |
},
|
139 |
{
|
140 |
"epoch": 13.94,
|
141 |
+
"eval_accuracy": 0.9830508474576272,
|
142 |
+
"eval_loss": 0.1497751921415329,
|
143 |
+
"eval_runtime": 3.629,
|
144 |
+
"eval_samples_per_second": 16.258,
|
145 |
+
"eval_steps_per_second": 0.551,
|
146 |
"step": 56
|
147 |
},
|
148 |
{
|
149 |
"epoch": 14.94,
|
150 |
+
"learning_rate": 4.166666666666667e-05,
|
151 |
+
"loss": 0.5151,
|
152 |
"step": 60
|
153 |
},
|
154 |
{
|
155 |
"epoch": 14.94,
|
156 |
"eval_accuracy": 0.9152542372881356,
|
157 |
+
"eval_loss": 0.1906394362449646,
|
158 |
+
"eval_runtime": 4.159,
|
159 |
+
"eval_samples_per_second": 14.186,
|
160 |
+
"eval_steps_per_second": 0.481,
|
161 |
"step": 60
|
162 |
},
|
163 |
{
|
164 |
"epoch": 15.94,
|
165 |
+
"eval_accuracy": 0.9491525423728814,
|
166 |
+
"eval_loss": 0.16975143551826477,
|
167 |
+
"eval_runtime": 3.7313,
|
168 |
+
"eval_samples_per_second": 15.812,
|
169 |
+
"eval_steps_per_second": 0.536,
|
170 |
"step": 64
|
171 |
},
|
172 |
{
|
173 |
"epoch": 16.94,
|
174 |
+
"eval_accuracy": 0.9491525423728814,
|
175 |
+
"eval_loss": 0.1431875377893448,
|
176 |
+
"eval_runtime": 4.1272,
|
177 |
+
"eval_samples_per_second": 14.295,
|
178 |
+
"eval_steps_per_second": 0.485,
|
179 |
"step": 68
|
180 |
},
|
181 |
{
|
182 |
"epoch": 17.94,
|
183 |
"eval_accuracy": 0.9322033898305084,
|
184 |
+
"eval_loss": 0.16815055906772614,
|
185 |
+
"eval_runtime": 3.6724,
|
186 |
+
"eval_samples_per_second": 16.066,
|
187 |
+
"eval_steps_per_second": 0.545,
|
188 |
"step": 72
|
189 |
},
|
190 |
{
|
191 |
"epoch": 18.94,
|
192 |
+
"eval_accuracy": 0.9830508474576272,
|
193 |
+
"eval_loss": 0.10692509263753891,
|
194 |
+
"eval_runtime": 4.1232,
|
195 |
+
"eval_samples_per_second": 14.309,
|
196 |
+
"eval_steps_per_second": 0.485,
|
197 |
"step": 76
|
198 |
},
|
199 |
{
|
200 |
"epoch": 19.94,
|
201 |
+
"learning_rate": 3.7037037037037037e-05,
|
202 |
+
"loss": 0.4009,
|
203 |
"step": 80
|
204 |
},
|
205 |
{
|
206 |
"epoch": 19.94,
|
207 |
+
"eval_accuracy": 0.9830508474576272,
|
208 |
+
"eval_loss": 0.08214119076728821,
|
209 |
+
"eval_runtime": 3.6886,
|
210 |
+
"eval_samples_per_second": 15.995,
|
211 |
+
"eval_steps_per_second": 0.542,
|
212 |
"step": 80
|
213 |
},
|
214 |
{
|
215 |
"epoch": 20.94,
|
216 |
+
"eval_accuracy": 0.9830508474576272,
|
217 |
+
"eval_loss": 0.09025811403989792,
|
218 |
+
"eval_runtime": 4.3053,
|
219 |
+
"eval_samples_per_second": 13.704,
|
220 |
+
"eval_steps_per_second": 0.465,
|
221 |
"step": 84
|
222 |
},
|
223 |
{
|
224 |
"epoch": 21.94,
|
225 |
+
"eval_accuracy": 0.9661016949152542,
|
226 |
+
"eval_loss": 0.12810270488262177,
|
227 |
+
"eval_runtime": 3.7203,
|
228 |
+
"eval_samples_per_second": 15.859,
|
229 |
+
"eval_steps_per_second": 0.538,
|
230 |
"step": 88
|
231 |
},
|
232 |
{
|
233 |
"epoch": 22.94,
|
234 |
+
"eval_accuracy": 0.9830508474576272,
|
235 |
+
"eval_loss": 0.09356144815683365,
|
236 |
+
"eval_runtime": 4.118,
|
237 |
+
"eval_samples_per_second": 14.328,
|
238 |
+
"eval_steps_per_second": 0.486,
|
239 |
"step": 92
|
240 |
},
|
241 |
{
|
242 |
"epoch": 23.94,
|
243 |
+
"eval_accuracy": 0.9661016949152542,
|
244 |
+
"eval_loss": 0.10591834783554077,
|
245 |
+
"eval_runtime": 3.6933,
|
246 |
+
"eval_samples_per_second": 15.975,
|
247 |
+
"eval_steps_per_second": 0.542,
|
248 |
"step": 96
|
249 |
},
|
250 |
{
|
251 |
"epoch": 24.94,
|
252 |
+
"learning_rate": 3.240740740740741e-05,
|
253 |
+
"loss": 0.3482,
|
254 |
"step": 100
|
255 |
},
|
256 |
{
|
257 |
"epoch": 24.94,
|
258 |
+
"eval_accuracy": 0.9491525423728814,
|
259 |
+
"eval_loss": 0.14312368631362915,
|
260 |
+
"eval_runtime": 4.1639,
|
261 |
+
"eval_samples_per_second": 14.169,
|
262 |
+
"eval_steps_per_second": 0.48,
|
263 |
"step": 100
|
264 |
},
|
265 |
{
|
266 |
"epoch": 25.94,
|
267 |
+
"eval_accuracy": 0.9661016949152542,
|
268 |
+
"eval_loss": 0.08986904472112656,
|
269 |
+
"eval_runtime": 3.7088,
|
270 |
+
"eval_samples_per_second": 15.908,
|
271 |
+
"eval_steps_per_second": 0.539,
|
272 |
"step": 104
|
273 |
},
|
274 |
{
|
275 |
"epoch": 26.94,
|
276 |
+
"eval_accuracy": 0.9661016949152542,
|
277 |
+
"eval_loss": 0.06888163089752197,
|
278 |
+
"eval_runtime": 4.1304,
|
279 |
+
"eval_samples_per_second": 14.284,
|
280 |
+
"eval_steps_per_second": 0.484,
|
281 |
"step": 108
|
282 |
},
|
283 |
{
|
284 |
"epoch": 27.94,
|
285 |
+
"eval_accuracy": 0.9661016949152542,
|
286 |
+
"eval_loss": 0.07510155439376831,
|
287 |
+
"eval_runtime": 3.7462,
|
288 |
+
"eval_samples_per_second": 15.749,
|
289 |
+
"eval_steps_per_second": 0.534,
|
290 |
"step": 112
|
291 |
},
|
292 |
{
|
293 |
"epoch": 28.94,
|
294 |
+
"eval_accuracy": 0.9661016949152542,
|
295 |
+
"eval_loss": 0.08912018686532974,
|
296 |
+
"eval_runtime": 3.7992,
|
297 |
+
"eval_samples_per_second": 15.53,
|
298 |
+
"eval_steps_per_second": 0.526,
|
299 |
"step": 116
|
300 |
},
|
301 |
{
|
302 |
"epoch": 29.94,
|
303 |
+
"learning_rate": 2.777777777777778e-05,
|
304 |
+
"loss": 0.3306,
|
305 |
"step": 120
|
306 |
},
|
307 |
{
|
308 |
"epoch": 29.94,
|
309 |
+
"eval_accuracy": 0.9830508474576272,
|
310 |
+
"eval_loss": 0.05226200073957443,
|
311 |
+
"eval_runtime": 4.2109,
|
312 |
+
"eval_samples_per_second": 14.011,
|
313 |
+
"eval_steps_per_second": 0.475,
|
314 |
"step": 120
|
315 |
},
|
316 |
{
|
317 |
"epoch": 30.94,
|
318 |
+
"eval_accuracy": 0.9830508474576272,
|
319 |
+
"eval_loss": 0.07344209402799606,
|
320 |
+
"eval_runtime": 3.9025,
|
321 |
+
"eval_samples_per_second": 15.118,
|
322 |
+
"eval_steps_per_second": 0.512,
|
323 |
"step": 124
|
324 |
},
|
325 |
{
|
326 |
"epoch": 31.94,
|
327 |
+
"eval_accuracy": 0.9830508474576272,
|
328 |
+
"eval_loss": 0.07462318241596222,
|
329 |
+
"eval_runtime": 4.1592,
|
330 |
+
"eval_samples_per_second": 14.185,
|
331 |
+
"eval_steps_per_second": 0.481,
|
332 |
"step": 128
|
333 |
},
|
334 |
{
|
335 |
"epoch": 32.94,
|
336 |
+
"eval_accuracy": 0.9661016949152542,
|
337 |
+
"eval_loss": 0.04742526262998581,
|
338 |
+
"eval_runtime": 3.8091,
|
339 |
+
"eval_samples_per_second": 15.489,
|
340 |
+
"eval_steps_per_second": 0.525,
|
341 |
"step": 132
|
342 |
},
|
343 |
{
|
344 |
"epoch": 33.94,
|
345 |
+
"eval_accuracy": 0.9830508474576272,
|
346 |
+
"eval_loss": 0.044318120926618576,
|
347 |
+
"eval_runtime": 3.7853,
|
348 |
+
"eval_samples_per_second": 15.587,
|
349 |
+
"eval_steps_per_second": 0.528,
|
350 |
"step": 136
|
351 |
},
|
352 |
{
|
353 |
"epoch": 34.94,
|
354 |
+
"learning_rate": 2.314814814814815e-05,
|
355 |
+
"loss": 0.2871,
|
356 |
"step": 140
|
357 |
},
|
358 |
{
|
359 |
"epoch": 34.94,
|
360 |
+
"eval_accuracy": 0.9830508474576272,
|
361 |
+
"eval_loss": 0.08141448348760605,
|
362 |
+
"eval_runtime": 4.1875,
|
363 |
+
"eval_samples_per_second": 14.09,
|
364 |
+
"eval_steps_per_second": 0.478,
|
365 |
"step": 140
|
366 |
},
|
367 |
{
|
368 |
"epoch": 35.94,
|
369 |
+
"eval_accuracy": 0.9830508474576272,
|
370 |
+
"eval_loss": 0.0690697729587555,
|
371 |
+
"eval_runtime": 3.7869,
|
372 |
+
"eval_samples_per_second": 15.58,
|
373 |
+
"eval_steps_per_second": 0.528,
|
374 |
"step": 144
|
375 |
},
|
376 |
{
|
377 |
"epoch": 36.94,
|
378 |
+
"eval_accuracy": 0.9830508474576272,
|
379 |
+
"eval_loss": 0.053145911544561386,
|
380 |
+
"eval_runtime": 4.1845,
|
381 |
+
"eval_samples_per_second": 14.1,
|
382 |
+
"eval_steps_per_second": 0.478,
|
383 |
"step": 148
|
384 |
},
|
385 |
{
|
386 |
"epoch": 37.94,
|
387 |
+
"eval_accuracy": 0.9830508474576272,
|
388 |
+
"eval_loss": 0.06143573671579361,
|
389 |
+
"eval_runtime": 3.7811,
|
390 |
+
"eval_samples_per_second": 15.604,
|
391 |
+
"eval_steps_per_second": 0.529,
|
392 |
"step": 152
|
393 |
},
|
394 |
{
|
395 |
"epoch": 38.94,
|
396 |
+
"eval_accuracy": 0.9830508474576272,
|
397 |
+
"eval_loss": 0.057755034416913986,
|
398 |
+
"eval_runtime": 4.2237,
|
399 |
+
"eval_samples_per_second": 13.969,
|
400 |
+
"eval_steps_per_second": 0.474,
|
401 |
"step": 156
|
402 |
},
|
403 |
{
|
404 |
"epoch": 39.94,
|
405 |
+
"learning_rate": 1.8518518518518518e-05,
|
406 |
+
"loss": 0.2754,
|
407 |
"step": 160
|
408 |
},
|
409 |
{
|
410 |
"epoch": 39.94,
|
411 |
+
"eval_accuracy": 0.9830508474576272,
|
412 |
+
"eval_loss": 0.05201863497495651,
|
413 |
+
"eval_runtime": 3.7528,
|
414 |
+
"eval_samples_per_second": 15.722,
|
415 |
+
"eval_steps_per_second": 0.533,
|
416 |
"step": 160
|
417 |
},
|
418 |
{
|
419 |
+
"epoch": 40.94,
|
420 |
+
"eval_accuracy": 0.9830508474576272,
|
421 |
+
"eval_loss": 0.05365251377224922,
|
422 |
+
"eval_runtime": 3.7906,
|
423 |
+
"eval_samples_per_second": 15.565,
|
424 |
+
"eval_steps_per_second": 0.528,
|
425 |
+
"step": 164
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 41.94,
|
429 |
+
"eval_accuracy": 0.9830508474576272,
|
430 |
+
"eval_loss": 0.04466838762164116,
|
431 |
+
"eval_runtime": 4.0883,
|
432 |
+
"eval_samples_per_second": 14.432,
|
433 |
+
"eval_steps_per_second": 0.489,
|
434 |
+
"step": 168
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 42.94,
|
438 |
+
"eval_accuracy": 1.0,
|
439 |
+
"eval_loss": 0.028991766273975372,
|
440 |
+
"eval_runtime": 3.7894,
|
441 |
+
"eval_samples_per_second": 15.57,
|
442 |
+
"eval_steps_per_second": 0.528,
|
443 |
+
"step": 172
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 43.94,
|
447 |
+
"eval_accuracy": 1.0,
|
448 |
+
"eval_loss": 0.029105449095368385,
|
449 |
+
"eval_runtime": 4.1829,
|
450 |
+
"eval_samples_per_second": 14.105,
|
451 |
+
"eval_steps_per_second": 0.478,
|
452 |
+
"step": 176
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 44.94,
|
456 |
+
"learning_rate": 1.388888888888889e-05,
|
457 |
+
"loss": 0.269,
|
458 |
+
"step": 180
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 44.94,
|
462 |
+
"eval_accuracy": 0.9830508474576272,
|
463 |
+
"eval_loss": 0.03256472200155258,
|
464 |
+
"eval_runtime": 3.7585,
|
465 |
+
"eval_samples_per_second": 15.698,
|
466 |
+
"eval_steps_per_second": 0.532,
|
467 |
+
"step": 180
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 45.94,
|
471 |
+
"eval_accuracy": 0.9830508474576272,
|
472 |
+
"eval_loss": 0.03297417610883713,
|
473 |
+
"eval_runtime": 4.155,
|
474 |
+
"eval_samples_per_second": 14.2,
|
475 |
+
"eval_steps_per_second": 0.481,
|
476 |
+
"step": 184
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 46.94,
|
480 |
+
"eval_accuracy": 0.9830508474576272,
|
481 |
+
"eval_loss": 0.034774668514728546,
|
482 |
+
"eval_runtime": 3.7675,
|
483 |
+
"eval_samples_per_second": 15.66,
|
484 |
+
"eval_steps_per_second": 0.531,
|
485 |
+
"step": 188
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 47.94,
|
489 |
+
"eval_accuracy": 0.9830508474576272,
|
490 |
+
"eval_loss": 0.03467889130115509,
|
491 |
+
"eval_runtime": 4.0766,
|
492 |
+
"eval_samples_per_second": 14.473,
|
493 |
+
"eval_steps_per_second": 0.491,
|
494 |
+
"step": 192
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 48.94,
|
498 |
+
"eval_accuracy": 0.9830508474576272,
|
499 |
+
"eval_loss": 0.03474270924925804,
|
500 |
+
"eval_runtime": 3.7643,
|
501 |
+
"eval_samples_per_second": 15.674,
|
502 |
+
"eval_steps_per_second": 0.531,
|
503 |
+
"step": 196
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 49.94,
|
507 |
+
"learning_rate": 9.259259259259259e-06,
|
508 |
+
"loss": 0.2615,
|
509 |
+
"step": 200
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 49.94,
|
513 |
+
"eval_accuracy": 0.9830508474576272,
|
514 |
+
"eval_loss": 0.04243284463882446,
|
515 |
+
"eval_runtime": 4.0985,
|
516 |
+
"eval_samples_per_second": 14.395,
|
517 |
+
"eval_steps_per_second": 0.488,
|
518 |
+
"step": 200
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 50.94,
|
522 |
+
"eval_accuracy": 0.9830508474576272,
|
523 |
+
"eval_loss": 0.04514499008655548,
|
524 |
+
"eval_runtime": 3.9491,
|
525 |
+
"eval_samples_per_second": 14.94,
|
526 |
+
"eval_steps_per_second": 0.506,
|
527 |
+
"step": 204
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 51.94,
|
531 |
+
"eval_accuracy": 0.9830508474576272,
|
532 |
+
"eval_loss": 0.043262287974357605,
|
533 |
+
"eval_runtime": 3.6957,
|
534 |
+
"eval_samples_per_second": 15.964,
|
535 |
+
"eval_steps_per_second": 0.541,
|
536 |
+
"step": 208
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 52.94,
|
540 |
+
"eval_accuracy": 0.9830508474576272,
|
541 |
+
"eval_loss": 0.035157691687345505,
|
542 |
+
"eval_runtime": 4.172,
|
543 |
+
"eval_samples_per_second": 14.142,
|
544 |
+
"eval_steps_per_second": 0.479,
|
545 |
+
"step": 212
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 53.94,
|
549 |
+
"eval_accuracy": 0.9830508474576272,
|
550 |
+
"eval_loss": 0.03394060581922531,
|
551 |
+
"eval_runtime": 3.7213,
|
552 |
+
"eval_samples_per_second": 15.855,
|
553 |
+
"eval_steps_per_second": 0.537,
|
554 |
+
"step": 216
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 54.94,
|
558 |
+
"learning_rate": 4.6296296296296296e-06,
|
559 |
+
"loss": 0.2386,
|
560 |
+
"step": 220
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 54.94,
|
564 |
+
"eval_accuracy": 0.9830508474576272,
|
565 |
+
"eval_loss": 0.03394594043493271,
|
566 |
+
"eval_runtime": 4.1524,
|
567 |
+
"eval_samples_per_second": 14.208,
|
568 |
+
"eval_steps_per_second": 0.482,
|
569 |
+
"step": 220
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 55.94,
|
573 |
+
"eval_accuracy": 0.9830508474576272,
|
574 |
+
"eval_loss": 0.03388730436563492,
|
575 |
+
"eval_runtime": 3.719,
|
576 |
+
"eval_samples_per_second": 15.864,
|
577 |
+
"eval_steps_per_second": 0.538,
|
578 |
+
"step": 224
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 56.94,
|
582 |
+
"eval_accuracy": 0.9830508474576272,
|
583 |
+
"eval_loss": 0.034843575209379196,
|
584 |
+
"eval_runtime": 4.1514,
|
585 |
+
"eval_samples_per_second": 14.212,
|
586 |
+
"eval_steps_per_second": 0.482,
|
587 |
+
"step": 228
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 57.94,
|
591 |
+
"eval_accuracy": 0.9830508474576272,
|
592 |
+
"eval_loss": 0.03663792461156845,
|
593 |
+
"eval_runtime": 3.7689,
|
594 |
+
"eval_samples_per_second": 15.654,
|
595 |
+
"eval_steps_per_second": 0.531,
|
596 |
+
"step": 232
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 58.94,
|
600 |
+
"eval_accuracy": 0.9830508474576272,
|
601 |
+
"eval_loss": 0.03743705153465271,
|
602 |
+
"eval_runtime": 4.1165,
|
603 |
+
"eval_samples_per_second": 14.333,
|
604 |
+
"eval_steps_per_second": 0.486,
|
605 |
+
"step": 236
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 59.94,
|
609 |
+
"learning_rate": 0.0,
|
610 |
+
"loss": 0.2362,
|
611 |
+
"step": 240
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 59.94,
|
615 |
+
"eval_accuracy": 0.9830508474576272,
|
616 |
+
"eval_loss": 0.03746996819972992,
|
617 |
+
"eval_runtime": 3.7404,
|
618 |
+
"eval_samples_per_second": 15.774,
|
619 |
+
"eval_steps_per_second": 0.535,
|
620 |
+
"step": 240
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 59.94,
|
624 |
+
"step": 240,
|
625 |
+
"total_flos": 7.88616702456404e+17,
|
626 |
+
"train_loss": 0.4937874893347422,
|
627 |
+
"train_runtime": 3820.3512,
|
628 |
+
"train_samples_per_second": 8.308,
|
629 |
+
"train_steps_per_second": 0.063
|
630 |
}
|
631 |
],
|
632 |
+
"max_steps": 240,
|
633 |
+
"num_train_epochs": 60,
|
634 |
+
"total_flos": 7.88616702456404e+17,
|
635 |
"trial_name": null,
|
636 |
"trial_params": null
|
637 |
}
|