JEdward7777
commited on
Commit
•
7e3a397
1
Parent(s):
2791d42
End of training
Browse files- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Oct13_10-52-01_7f13ffb5462b/events.out.tfevents.1665660552.7f13ffb5462b.68.2 +3 -0
- train_results.json +6 -6
- trainer_state.json +262 -262
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch": 39.
|
3 |
-
"eval_accuracy": 0
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 3.
|
6 |
-
"eval_samples_per_second": 14.
|
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": 39.86,
|
3 |
+
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 0.062098320573568344,
|
5 |
+
"eval_runtime": 3.1556,
|
6 |
+
"eval_samples_per_second": 14.894,
|
7 |
+
"eval_steps_per_second": 0.634,
|
8 |
+
"total_flos": 4.138238964234977e+17,
|
9 |
+
"train_loss": 0.19912103215853375,
|
10 |
+
"train_runtime": 1848.5966,
|
11 |
+
"train_samples_per_second": 9.023,
|
12 |
+
"train_steps_per_second": 0.065
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch": 39.
|
3 |
-
"eval_accuracy": 0
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 3.
|
6 |
-
"eval_samples_per_second": 14.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 39.86,
|
3 |
+
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 0.062098320573568344,
|
5 |
+
"eval_runtime": 3.1556,
|
6 |
+
"eval_samples_per_second": 14.894,
|
7 |
+
"eval_steps_per_second": 0.634
|
8 |
}
|
runs/Oct13_10-52-01_7f13ffb5462b/events.out.tfevents.1665660552.7f13ffb5462b.68.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a40fe4a7ed12135be3b0b4cf530b68485c06a027c2b63c27ea64ac223c9fb529
|
3 |
+
size 357
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch": 39.
|
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": 39.86,
|
3 |
+
"total_flos": 4.138238964234977e+17,
|
4 |
+
"train_loss": 0.19912103215853375,
|
5 |
+
"train_runtime": 1848.5966,
|
6 |
+
"train_samples_per_second": 9.023,
|
7 |
+
"train_steps_per_second": 0.065
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,421 +1,421 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0
|
3 |
-
"best_model_checkpoint": "delivery_truck_classification/checkpoint-
|
4 |
-
"epoch": 39.
|
5 |
"global_step": 120,
|
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.
|
12 |
-
"eval_accuracy": 0.
|
13 |
-
"eval_loss": 0.
|
14 |
-
"eval_runtime": 3.
|
15 |
-
"eval_samples_per_second":
|
16 |
-
"eval_steps_per_second": 0.
|
17 |
"step": 3
|
18 |
},
|
19 |
{
|
20 |
-
"epoch": 1.
|
21 |
-
"eval_accuracy": 0.
|
22 |
-
"eval_loss": 0.
|
23 |
-
"eval_runtime": 3.
|
24 |
-
"eval_samples_per_second":
|
25 |
-
"eval_steps_per_second": 0.
|
26 |
"step": 6
|
27 |
},
|
28 |
{
|
29 |
-
"epoch": 2.
|
30 |
-
"eval_accuracy": 0
|
31 |
-
"eval_loss": 0.
|
32 |
-
"eval_runtime": 3.
|
33 |
-
"eval_samples_per_second":
|
34 |
-
"eval_steps_per_second": 0.
|
35 |
"step": 9
|
36 |
},
|
37 |
{
|
38 |
-
"epoch": 3.
|
39 |
-
"eval_accuracy": 0.
|
40 |
-
"eval_loss": 0.
|
41 |
-
"eval_runtime":
|
42 |
-
"eval_samples_per_second": 15.
|
43 |
-
"eval_steps_per_second": 0.
|
44 |
"step": 12
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 4.
|
48 |
-
"eval_accuracy": 0.
|
49 |
-
"eval_loss": 0.
|
50 |
-
"eval_runtime": 3.
|
51 |
-
"eval_samples_per_second":
|
52 |
-
"eval_steps_per_second": 0.
|
53 |
"step": 15
|
54 |
},
|
55 |
{
|
56 |
-
"epoch": 5.
|
57 |
-
"eval_accuracy": 0.
|
58 |
-
"eval_loss": 0.
|
59 |
-
"eval_runtime": 3.
|
60 |
-
"eval_samples_per_second":
|
61 |
-
"eval_steps_per_second": 0.
|
62 |
"step": 18
|
63 |
},
|
64 |
{
|
65 |
-
"epoch": 6.
|
66 |
"learning_rate": 4.62962962962963e-05,
|
67 |
-
"loss": 0.
|
68 |
"step": 20
|
69 |
},
|
70 |
{
|
71 |
-
"epoch": 6.
|
72 |
-
"eval_accuracy": 0.
|
73 |
-
"eval_loss": 0.
|
74 |
-
"eval_runtime": 3.
|
75 |
-
"eval_samples_per_second":
|
76 |
-
"eval_steps_per_second": 0.
|
77 |
"step": 21
|
78 |
},
|
79 |
{
|
80 |
-
"epoch": 7.
|
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": 24
|
87 |
},
|
88 |
{
|
89 |
-
"epoch": 8.
|
90 |
-
"eval_accuracy": 0.
|
91 |
-
"eval_loss": 0.
|
92 |
-
"eval_runtime": 3.
|
93 |
-
"eval_samples_per_second": 13.
|
94 |
-
"eval_steps_per_second": 0.
|
95 |
"step": 27
|
96 |
},
|
97 |
{
|
98 |
-
"epoch": 9.
|
99 |
-
"eval_accuracy": 0.
|
100 |
-
"eval_loss": 0.
|
101 |
-
"eval_runtime": 3.
|
102 |
-
"eval_samples_per_second":
|
103 |
-
"eval_steps_per_second": 0.
|
104 |
"step": 30
|
105 |
},
|
106 |
{
|
107 |
-
"epoch": 10.
|
108 |
-
"eval_accuracy": 0.
|
109 |
-
"eval_loss": 0.
|
110 |
-
"eval_runtime": 3.
|
111 |
-
"eval_samples_per_second":
|
112 |
-
"eval_steps_per_second": 0.
|
113 |
"step": 33
|
114 |
},
|
115 |
{
|
116 |
-
"epoch": 11.
|
117 |
-
"eval_accuracy": 0
|
118 |
-
"eval_loss": 0.
|
119 |
-
"eval_runtime": 3.
|
120 |
-
"eval_samples_per_second":
|
121 |
-
"eval_steps_per_second": 0.
|
122 |
"step": 36
|
123 |
},
|
124 |
{
|
125 |
-
"epoch": 12.
|
126 |
-
"eval_accuracy": 0.
|
127 |
-
"eval_loss": 0.
|
128 |
-
"eval_runtime": 3.
|
129 |
-
"eval_samples_per_second": 14.
|
130 |
-
"eval_steps_per_second": 0.
|
131 |
"step": 39
|
132 |
},
|
133 |
{
|
134 |
-
"epoch": 13.
|
135 |
"learning_rate": 3.7037037037037037e-05,
|
136 |
-
"loss": 0.
|
137 |
"step": 40
|
138 |
},
|
139 |
{
|
140 |
-
"epoch": 13.
|
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": 42
|
147 |
},
|
148 |
{
|
149 |
-
"epoch": 14.
|
150 |
-
"eval_accuracy": 0.
|
151 |
-
"eval_loss": 0.
|
152 |
-
"eval_runtime": 3.
|
153 |
-
"eval_samples_per_second":
|
154 |
-
"eval_steps_per_second": 0.
|
155 |
"step": 45
|
156 |
},
|
157 |
{
|
158 |
-
"epoch": 15.
|
159 |
-
"eval_accuracy": 0.
|
160 |
-
"eval_loss": 0.
|
161 |
-
"eval_runtime": 3.
|
162 |
-
"eval_samples_per_second": 14.
|
163 |
-
"eval_steps_per_second": 0.
|
164 |
"step": 48
|
165 |
},
|
166 |
{
|
167 |
-
"epoch": 16.
|
168 |
-
"eval_accuracy": 0.
|
169 |
-
"eval_loss": 0.
|
170 |
-
"eval_runtime": 3.
|
171 |
-
"eval_samples_per_second":
|
172 |
-
"eval_steps_per_second": 0.
|
173 |
"step": 51
|
174 |
},
|
175 |
{
|
176 |
-
"epoch": 17.
|
177 |
-
"eval_accuracy": 0.
|
178 |
-
"eval_loss": 0.
|
179 |
-
"eval_runtime": 3.
|
180 |
-
"eval_samples_per_second": 13.
|
181 |
-
"eval_steps_per_second": 0.
|
182 |
"step": 54
|
183 |
},
|
184 |
{
|
185 |
-
"epoch": 18.
|
186 |
-
"eval_accuracy": 0.
|
187 |
-
"eval_loss": 0.
|
188 |
-
"eval_runtime": 3.
|
189 |
-
"eval_samples_per_second":
|
190 |
-
"eval_steps_per_second": 0.
|
191 |
"step": 57
|
192 |
},
|
193 |
{
|
194 |
-
"epoch": 19.
|
195 |
"learning_rate": 2.777777777777778e-05,
|
196 |
-
"loss": 0.
|
197 |
"step": 60
|
198 |
},
|
199 |
{
|
200 |
-
"epoch": 19.
|
201 |
-
"eval_accuracy": 0.
|
202 |
-
"eval_loss": 0.
|
203 |
-
"eval_runtime": 3.
|
204 |
-
"eval_samples_per_second":
|
205 |
-
"eval_steps_per_second": 0.
|
206 |
"step": 60
|
207 |
},
|
208 |
{
|
209 |
-
"epoch": 20.
|
210 |
-
"eval_accuracy": 0.
|
211 |
-
"eval_loss": 0.
|
212 |
-
"eval_runtime": 3.
|
213 |
-
"eval_samples_per_second":
|
214 |
-
"eval_steps_per_second": 0.
|
215 |
"step": 63
|
216 |
},
|
217 |
{
|
218 |
-
"epoch": 21.
|
219 |
-
"eval_accuracy": 0
|
220 |
-
"eval_loss": 0.
|
221 |
-
"eval_runtime": 3.
|
222 |
-
"eval_samples_per_second":
|
223 |
-
"eval_steps_per_second": 0.
|
224 |
"step": 66
|
225 |
},
|
226 |
{
|
227 |
-
"epoch": 22.
|
228 |
-
"eval_accuracy": 0
|
229 |
-
"eval_loss": 0.
|
230 |
-
"eval_runtime": 3.
|
231 |
-
"eval_samples_per_second":
|
232 |
-
"eval_steps_per_second": 0.
|
233 |
"step": 69
|
234 |
},
|
235 |
{
|
236 |
-
"epoch": 23.
|
237 |
-
"eval_accuracy": 0
|
238 |
-
"eval_loss": 0.
|
239 |
-
"eval_runtime": 3.
|
240 |
-
"eval_samples_per_second": 13.
|
241 |
-
"eval_steps_per_second": 0.
|
242 |
"step": 72
|
243 |
},
|
244 |
{
|
245 |
-
"epoch": 24.
|
246 |
-
"eval_accuracy": 0
|
247 |
-
"eval_loss": 0.
|
248 |
-
"eval_runtime":
|
249 |
-
"eval_samples_per_second":
|
250 |
-
"eval_steps_per_second": 0.
|
251 |
"step": 75
|
252 |
},
|
253 |
{
|
254 |
-
"epoch": 25.
|
255 |
-
"eval_accuracy": 0
|
256 |
-
"eval_loss": 0.
|
257 |
-
"eval_runtime": 3.
|
258 |
-
"eval_samples_per_second":
|
259 |
-
"eval_steps_per_second": 0.
|
260 |
"step": 78
|
261 |
},
|
262 |
{
|
263 |
-
"epoch": 26.
|
264 |
"learning_rate": 1.8518518518518518e-05,
|
265 |
-
"loss": 0.
|
266 |
"step": 80
|
267 |
},
|
268 |
{
|
269 |
-
"epoch": 26.
|
270 |
-
"eval_accuracy": 0
|
271 |
-
"eval_loss": 0.
|
272 |
-
"eval_runtime": 3.
|
273 |
-
"eval_samples_per_second": 13.
|
274 |
-
"eval_steps_per_second": 0.
|
275 |
"step": 81
|
276 |
},
|
277 |
{
|
278 |
-
"epoch": 27.
|
279 |
-
"eval_accuracy": 0
|
280 |
-
"eval_loss": 0.
|
281 |
-
"eval_runtime":
|
282 |
-
"eval_samples_per_second":
|
283 |
-
"eval_steps_per_second": 0.
|
284 |
"step": 84
|
285 |
},
|
286 |
{
|
287 |
-
"epoch": 28.
|
288 |
-
"eval_accuracy": 0
|
289 |
-
"eval_loss": 0.
|
290 |
-
"eval_runtime": 3.
|
291 |
-
"eval_samples_per_second":
|
292 |
-
"eval_steps_per_second": 0.
|
293 |
"step": 87
|
294 |
},
|
295 |
{
|
296 |
-
"epoch": 29.
|
297 |
-
"eval_accuracy": 0
|
298 |
-
"eval_loss": 0.
|
299 |
-
"eval_runtime": 3.
|
300 |
-
"eval_samples_per_second":
|
301 |
-
"eval_steps_per_second": 0.
|
302 |
"step": 90
|
303 |
},
|
304 |
{
|
305 |
-
"epoch": 30.
|
306 |
-
"eval_accuracy": 0
|
307 |
-
"eval_loss": 0.
|
308 |
-
"eval_runtime":
|
309 |
-
"eval_samples_per_second":
|
310 |
-
"eval_steps_per_second": 0.
|
311 |
"step": 93
|
312 |
},
|
313 |
{
|
314 |
-
"epoch": 31.
|
315 |
-
"eval_accuracy": 0
|
316 |
-
"eval_loss": 0.
|
317 |
-
"eval_runtime": 3.
|
318 |
-
"eval_samples_per_second": 13.
|
319 |
-
"eval_steps_per_second": 0.
|
320 |
"step": 96
|
321 |
},
|
322 |
{
|
323 |
-
"epoch": 32.
|
324 |
-
"eval_accuracy": 0
|
325 |
-
"eval_loss": 0.
|
326 |
-
"eval_runtime": 3.
|
327 |
-
"eval_samples_per_second":
|
328 |
-
"eval_steps_per_second": 0.
|
329 |
"step": 99
|
330 |
},
|
331 |
{
|
332 |
-
"epoch": 33.
|
333 |
"learning_rate": 9.259259259259259e-06,
|
334 |
-
"loss": 0.
|
335 |
"step": 100
|
336 |
},
|
337 |
{
|
338 |
-
"epoch": 33.
|
339 |
-
"eval_accuracy": 0
|
340 |
-
"eval_loss": 0.
|
341 |
-
"eval_runtime":
|
342 |
-
"eval_samples_per_second":
|
343 |
-
"eval_steps_per_second": 0.
|
344 |
"step": 102
|
345 |
},
|
346 |
{
|
347 |
-
"epoch": 34.
|
348 |
-
"eval_accuracy": 0
|
349 |
-
"eval_loss": 0.
|
350 |
-
"eval_runtime": 3.
|
351 |
-
"eval_samples_per_second":
|
352 |
-
"eval_steps_per_second": 0.
|
353 |
"step": 105
|
354 |
},
|
355 |
{
|
356 |
-
"epoch": 35.
|
357 |
-
"eval_accuracy": 0
|
358 |
-
"eval_loss": 0.
|
359 |
-
"eval_runtime": 3.
|
360 |
-
"eval_samples_per_second":
|
361 |
-
"eval_steps_per_second": 0.
|
362 |
"step": 108
|
363 |
},
|
364 |
{
|
365 |
-
"epoch": 36.
|
366 |
-
"eval_accuracy": 0
|
367 |
-
"eval_loss": 0.
|
368 |
-
"eval_runtime":
|
369 |
-
"eval_samples_per_second":
|
370 |
-
"eval_steps_per_second": 0.
|
371 |
"step": 111
|
372 |
},
|
373 |
{
|
374 |
-
"epoch": 37.
|
375 |
-
"eval_accuracy": 0
|
376 |
-
"eval_loss": 0.
|
377 |
-
"eval_runtime": 3.
|
378 |
-
"eval_samples_per_second": 13.
|
379 |
-
"eval_steps_per_second": 0.
|
380 |
"step": 114
|
381 |
},
|
382 |
{
|
383 |
-
"epoch": 38.
|
384 |
-
"eval_accuracy": 0
|
385 |
-
"eval_loss": 0.
|
386 |
-
"eval_runtime": 3.
|
387 |
-
"eval_samples_per_second":
|
388 |
-
"eval_steps_per_second": 0.
|
389 |
"step": 117
|
390 |
},
|
391 |
{
|
392 |
-
"epoch": 39.
|
393 |
"learning_rate": 0.0,
|
394 |
-
"loss": 0.
|
395 |
"step": 120
|
396 |
},
|
397 |
{
|
398 |
-
"epoch": 39.
|
399 |
-
"eval_accuracy": 0
|
400 |
-
"eval_loss": 0.
|
401 |
-
"eval_runtime": 3.
|
402 |
-
"eval_samples_per_second":
|
403 |
-
"eval_steps_per_second": 0.
|
404 |
"step": 120
|
405 |
},
|
406 |
{
|
407 |
-
"epoch": 39.
|
408 |
"step": 120,
|
409 |
-
"total_flos":
|
410 |
-
"train_loss": 0.
|
411 |
-
"train_runtime":
|
412 |
-
"train_samples_per_second":
|
413 |
-
"train_steps_per_second": 0.
|
414 |
}
|
415 |
],
|
416 |
"max_steps": 120,
|
417 |
"num_train_epochs": 40,
|
418 |
-
"total_flos":
|
419 |
"trial_name": null,
|
420 |
"trial_params": null
|
421 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 1.0,
|
3 |
+
"best_model_checkpoint": "delivery_truck_classification/checkpoint-9",
|
4 |
+
"epoch": 39.857142857142854,
|
5 |
"global_step": 120,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 0.86,
|
12 |
+
"eval_accuracy": 0.9574468085106383,
|
13 |
+
"eval_loss": 0.14558981359004974,
|
14 |
+
"eval_runtime": 3.0797,
|
15 |
+
"eval_samples_per_second": 15.261,
|
16 |
+
"eval_steps_per_second": 0.649,
|
17 |
"step": 3
|
18 |
},
|
19 |
{
|
20 |
+
"epoch": 1.86,
|
21 |
+
"eval_accuracy": 0.9787234042553191,
|
22 |
+
"eval_loss": 0.08996303379535675,
|
23 |
+
"eval_runtime": 3.5219,
|
24 |
+
"eval_samples_per_second": 13.345,
|
25 |
+
"eval_steps_per_second": 0.568,
|
26 |
"step": 6
|
27 |
},
|
28 |
{
|
29 |
+
"epoch": 2.86,
|
30 |
+
"eval_accuracy": 1.0,
|
31 |
+
"eval_loss": 0.062098320573568344,
|
32 |
+
"eval_runtime": 3.3535,
|
33 |
+
"eval_samples_per_second": 14.015,
|
34 |
+
"eval_steps_per_second": 0.596,
|
35 |
"step": 9
|
36 |
},
|
37 |
{
|
38 |
+
"epoch": 3.86,
|
39 |
+
"eval_accuracy": 0.9787234042553191,
|
40 |
+
"eval_loss": 0.06347361207008362,
|
41 |
+
"eval_runtime": 3.0769,
|
42 |
+
"eval_samples_per_second": 15.275,
|
43 |
+
"eval_steps_per_second": 0.65,
|
44 |
"step": 12
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 4.86,
|
48 |
+
"eval_accuracy": 0.9787234042553191,
|
49 |
+
"eval_loss": 0.05354984849691391,
|
50 |
+
"eval_runtime": 3.0814,
|
51 |
+
"eval_samples_per_second": 15.253,
|
52 |
+
"eval_steps_per_second": 0.649,
|
53 |
"step": 15
|
54 |
},
|
55 |
{
|
56 |
+
"epoch": 5.86,
|
57 |
+
"eval_accuracy": 0.9574468085106383,
|
58 |
+
"eval_loss": 0.06630665063858032,
|
59 |
+
"eval_runtime": 3.3475,
|
60 |
+
"eval_samples_per_second": 14.04,
|
61 |
+
"eval_steps_per_second": 0.597,
|
62 |
"step": 18
|
63 |
},
|
64 |
{
|
65 |
+
"epoch": 6.57,
|
66 |
"learning_rate": 4.62962962962963e-05,
|
67 |
+
"loss": 0.3029,
|
68 |
"step": 20
|
69 |
},
|
70 |
{
|
71 |
+
"epoch": 6.86,
|
72 |
+
"eval_accuracy": 0.9787234042553191,
|
73 |
+
"eval_loss": 0.04919619858264923,
|
74 |
+
"eval_runtime": 3.3837,
|
75 |
+
"eval_samples_per_second": 13.89,
|
76 |
+
"eval_steps_per_second": 0.591,
|
77 |
"step": 21
|
78 |
},
|
79 |
{
|
80 |
+
"epoch": 7.86,
|
81 |
+
"eval_accuracy": 0.9787234042553191,
|
82 |
+
"eval_loss": 0.05591897666454315,
|
83 |
+
"eval_runtime": 3.0774,
|
84 |
+
"eval_samples_per_second": 15.273,
|
85 |
+
"eval_steps_per_second": 0.65,
|
86 |
"step": 24
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 8.86,
|
90 |
+
"eval_accuracy": 0.9787234042553191,
|
91 |
+
"eval_loss": 0.0664142519235611,
|
92 |
+
"eval_runtime": 3.4113,
|
93 |
+
"eval_samples_per_second": 13.778,
|
94 |
+
"eval_steps_per_second": 0.586,
|
95 |
"step": 27
|
96 |
},
|
97 |
{
|
98 |
+
"epoch": 9.86,
|
99 |
+
"eval_accuracy": 0.9787234042553191,
|
100 |
+
"eval_loss": 0.06434692442417145,
|
101 |
+
"eval_runtime": 3.3792,
|
102 |
+
"eval_samples_per_second": 13.908,
|
103 |
+
"eval_steps_per_second": 0.592,
|
104 |
"step": 30
|
105 |
},
|
106 |
{
|
107 |
+
"epoch": 10.86,
|
108 |
+
"eval_accuracy": 0.9787234042553191,
|
109 |
+
"eval_loss": 0.05577840283513069,
|
110 |
+
"eval_runtime": 3.3341,
|
111 |
+
"eval_samples_per_second": 14.097,
|
112 |
+
"eval_steps_per_second": 0.6,
|
113 |
"step": 33
|
114 |
},
|
115 |
{
|
116 |
+
"epoch": 11.86,
|
117 |
+
"eval_accuracy": 1.0,
|
118 |
+
"eval_loss": 0.03647231683135033,
|
119 |
+
"eval_runtime": 3.076,
|
120 |
+
"eval_samples_per_second": 15.28,
|
121 |
+
"eval_steps_per_second": 0.65,
|
122 |
"step": 36
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 12.86,
|
126 |
+
"eval_accuracy": 0.9787234042553191,
|
127 |
+
"eval_loss": 0.043758317828178406,
|
128 |
+
"eval_runtime": 3.3173,
|
129 |
+
"eval_samples_per_second": 14.168,
|
130 |
+
"eval_steps_per_second": 0.603,
|
131 |
"step": 39
|
132 |
},
|
133 |
{
|
134 |
+
"epoch": 13.29,
|
135 |
"learning_rate": 3.7037037037037037e-05,
|
136 |
+
"loss": 0.2212,
|
137 |
"step": 40
|
138 |
},
|
139 |
{
|
140 |
+
"epoch": 13.86,
|
141 |
+
"eval_accuracy": 0.9787234042553191,
|
142 |
+
"eval_loss": 0.045602452009916306,
|
143 |
+
"eval_runtime": 3.3351,
|
144 |
+
"eval_samples_per_second": 14.093,
|
145 |
+
"eval_steps_per_second": 0.6,
|
146 |
"step": 42
|
147 |
},
|
148 |
{
|
149 |
+
"epoch": 14.86,
|
150 |
+
"eval_accuracy": 0.9787234042553191,
|
151 |
+
"eval_loss": 0.040249306708574295,
|
152 |
+
"eval_runtime": 3.0799,
|
153 |
+
"eval_samples_per_second": 15.26,
|
154 |
+
"eval_steps_per_second": 0.649,
|
155 |
"step": 45
|
156 |
},
|
157 |
{
|
158 |
+
"epoch": 15.86,
|
159 |
+
"eval_accuracy": 0.9787234042553191,
|
160 |
+
"eval_loss": 0.03505050763487816,
|
161 |
+
"eval_runtime": 3.2192,
|
162 |
+
"eval_samples_per_second": 14.6,
|
163 |
+
"eval_steps_per_second": 0.621,
|
164 |
"step": 48
|
165 |
},
|
166 |
{
|
167 |
+
"epoch": 16.86,
|
168 |
+
"eval_accuracy": 0.9787234042553191,
|
169 |
+
"eval_loss": 0.03594408929347992,
|
170 |
+
"eval_runtime": 3.2905,
|
171 |
+
"eval_samples_per_second": 14.284,
|
172 |
+
"eval_steps_per_second": 0.608,
|
173 |
"step": 51
|
174 |
},
|
175 |
{
|
176 |
+
"epoch": 17.86,
|
177 |
+
"eval_accuracy": 0.9787234042553191,
|
178 |
+
"eval_loss": 0.04266700521111488,
|
179 |
+
"eval_runtime": 3.4643,
|
180 |
+
"eval_samples_per_second": 13.567,
|
181 |
+
"eval_steps_per_second": 0.577,
|
182 |
"step": 54
|
183 |
},
|
184 |
{
|
185 |
+
"epoch": 18.86,
|
186 |
+
"eval_accuracy": 0.9574468085106383,
|
187 |
+
"eval_loss": 0.04897385463118553,
|
188 |
+
"eval_runtime": 3.0853,
|
189 |
+
"eval_samples_per_second": 15.234,
|
190 |
+
"eval_steps_per_second": 0.648,
|
191 |
"step": 57
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 19.86,
|
195 |
"learning_rate": 2.777777777777778e-05,
|
196 |
+
"loss": 0.186,
|
197 |
"step": 60
|
198 |
},
|
199 |
{
|
200 |
+
"epoch": 19.86,
|
201 |
+
"eval_accuracy": 0.9787234042553191,
|
202 |
+
"eval_loss": 0.039550021290779114,
|
203 |
+
"eval_runtime": 3.1131,
|
204 |
+
"eval_samples_per_second": 15.097,
|
205 |
+
"eval_steps_per_second": 0.642,
|
206 |
"step": 60
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 20.86,
|
210 |
+
"eval_accuracy": 0.9787234042553191,
|
211 |
+
"eval_loss": 0.029103364795446396,
|
212 |
+
"eval_runtime": 3.3495,
|
213 |
+
"eval_samples_per_second": 14.032,
|
214 |
+
"eval_steps_per_second": 0.597,
|
215 |
"step": 63
|
216 |
},
|
217 |
{
|
218 |
+
"epoch": 21.86,
|
219 |
+
"eval_accuracy": 1.0,
|
220 |
+
"eval_loss": 0.015161500312387943,
|
221 |
+
"eval_runtime": 3.3942,
|
222 |
+
"eval_samples_per_second": 13.847,
|
223 |
+
"eval_steps_per_second": 0.589,
|
224 |
"step": 66
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 22.86,
|
228 |
+
"eval_accuracy": 1.0,
|
229 |
+
"eval_loss": 0.014185278676450253,
|
230 |
+
"eval_runtime": 3.0833,
|
231 |
+
"eval_samples_per_second": 15.244,
|
232 |
+
"eval_steps_per_second": 0.649,
|
233 |
"step": 69
|
234 |
},
|
235 |
{
|
236 |
+
"epoch": 23.86,
|
237 |
+
"eval_accuracy": 1.0,
|
238 |
+
"eval_loss": 0.01784444786608219,
|
239 |
+
"eval_runtime": 3.3662,
|
240 |
+
"eval_samples_per_second": 13.962,
|
241 |
+
"eval_steps_per_second": 0.594,
|
242 |
"step": 72
|
243 |
},
|
244 |
{
|
245 |
+
"epoch": 24.86,
|
246 |
+
"eval_accuracy": 1.0,
|
247 |
+
"eval_loss": 0.017597978934645653,
|
248 |
+
"eval_runtime": 3.4018,
|
249 |
+
"eval_samples_per_second": 13.816,
|
250 |
+
"eval_steps_per_second": 0.588,
|
251 |
"step": 75
|
252 |
},
|
253 |
{
|
254 |
+
"epoch": 25.86,
|
255 |
+
"eval_accuracy": 1.0,
|
256 |
+
"eval_loss": 0.015114851295948029,
|
257 |
+
"eval_runtime": 3.1308,
|
258 |
+
"eval_samples_per_second": 15.012,
|
259 |
+
"eval_steps_per_second": 0.639,
|
260 |
"step": 78
|
261 |
},
|
262 |
{
|
263 |
+
"epoch": 26.57,
|
264 |
"learning_rate": 1.8518518518518518e-05,
|
265 |
+
"loss": 0.1751,
|
266 |
"step": 80
|
267 |
},
|
268 |
{
|
269 |
+
"epoch": 26.86,
|
270 |
+
"eval_accuracy": 1.0,
|
271 |
+
"eval_loss": 0.011016697622835636,
|
272 |
+
"eval_runtime": 3.366,
|
273 |
+
"eval_samples_per_second": 13.963,
|
274 |
+
"eval_steps_per_second": 0.594,
|
275 |
"step": 81
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 27.86,
|
279 |
+
"eval_accuracy": 1.0,
|
280 |
+
"eval_loss": 0.012051686644554138,
|
281 |
+
"eval_runtime": 3.3303,
|
282 |
+
"eval_samples_per_second": 14.113,
|
283 |
+
"eval_steps_per_second": 0.601,
|
284 |
"step": 84
|
285 |
},
|
286 |
{
|
287 |
+
"epoch": 28.86,
|
288 |
+
"eval_accuracy": 1.0,
|
289 |
+
"eval_loss": 0.01581379771232605,
|
290 |
+
"eval_runtime": 3.3324,
|
291 |
+
"eval_samples_per_second": 14.104,
|
292 |
+
"eval_steps_per_second": 0.6,
|
293 |
"step": 87
|
294 |
},
|
295 |
{
|
296 |
+
"epoch": 29.86,
|
297 |
+
"eval_accuracy": 1.0,
|
298 |
+
"eval_loss": 0.02497912012040615,
|
299 |
+
"eval_runtime": 3.1285,
|
300 |
+
"eval_samples_per_second": 15.023,
|
301 |
+
"eval_steps_per_second": 0.639,
|
302 |
"step": 90
|
303 |
},
|
304 |
{
|
305 |
+
"epoch": 30.86,
|
306 |
+
"eval_accuracy": 1.0,
|
307 |
+
"eval_loss": 0.02920253947377205,
|
308 |
+
"eval_runtime": 3.3575,
|
309 |
+
"eval_samples_per_second": 13.999,
|
310 |
+
"eval_steps_per_second": 0.596,
|
311 |
"step": 93
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 31.86,
|
315 |
+
"eval_accuracy": 1.0,
|
316 |
+
"eval_loss": 0.025970185175538063,
|
317 |
+
"eval_runtime": 3.3707,
|
318 |
+
"eval_samples_per_second": 13.944,
|
319 |
+
"eval_steps_per_second": 0.593,
|
320 |
"step": 96
|
321 |
},
|
322 |
{
|
323 |
+
"epoch": 32.86,
|
324 |
+
"eval_accuracy": 1.0,
|
325 |
+
"eval_loss": 0.020575150847434998,
|
326 |
+
"eval_runtime": 3.152,
|
327 |
+
"eval_samples_per_second": 14.911,
|
328 |
+
"eval_steps_per_second": 0.635,
|
329 |
"step": 99
|
330 |
},
|
331 |
{
|
332 |
+
"epoch": 33.29,
|
333 |
"learning_rate": 9.259259259259259e-06,
|
334 |
+
"loss": 0.1614,
|
335 |
"step": 100
|
336 |
},
|
337 |
{
|
338 |
+
"epoch": 33.86,
|
339 |
+
"eval_accuracy": 1.0,
|
340 |
+
"eval_loss": 0.018124328926205635,
|
341 |
+
"eval_runtime": 3.4042,
|
342 |
+
"eval_samples_per_second": 13.807,
|
343 |
+
"eval_steps_per_second": 0.588,
|
344 |
"step": 102
|
345 |
},
|
346 |
{
|
347 |
+
"epoch": 34.86,
|
348 |
+
"eval_accuracy": 1.0,
|
349 |
+
"eval_loss": 0.017009548842906952,
|
350 |
+
"eval_runtime": 3.4107,
|
351 |
+
"eval_samples_per_second": 13.78,
|
352 |
+
"eval_steps_per_second": 0.586,
|
353 |
"step": 105
|
354 |
},
|
355 |
{
|
356 |
+
"epoch": 35.86,
|
357 |
+
"eval_accuracy": 1.0,
|
358 |
+
"eval_loss": 0.0170438252389431,
|
359 |
+
"eval_runtime": 3.0972,
|
360 |
+
"eval_samples_per_second": 15.175,
|
361 |
+
"eval_steps_per_second": 0.646,
|
362 |
"step": 108
|
363 |
},
|
364 |
{
|
365 |
+
"epoch": 36.86,
|
366 |
+
"eval_accuracy": 1.0,
|
367 |
+
"eval_loss": 0.017739199101924896,
|
368 |
+
"eval_runtime": 3.4084,
|
369 |
+
"eval_samples_per_second": 13.789,
|
370 |
+
"eval_steps_per_second": 0.587,
|
371 |
"step": 111
|
372 |
},
|
373 |
{
|
374 |
+
"epoch": 37.86,
|
375 |
+
"eval_accuracy": 1.0,
|
376 |
+
"eval_loss": 0.018777411431074142,
|
377 |
+
"eval_runtime": 3.4191,
|
378 |
+
"eval_samples_per_second": 13.746,
|
379 |
+
"eval_steps_per_second": 0.585,
|
380 |
"step": 114
|
381 |
},
|
382 |
{
|
383 |
+
"epoch": 38.86,
|
384 |
+
"eval_accuracy": 1.0,
|
385 |
+
"eval_loss": 0.01889665052294731,
|
386 |
+
"eval_runtime": 3.0931,
|
387 |
+
"eval_samples_per_second": 15.195,
|
388 |
+
"eval_steps_per_second": 0.647,
|
389 |
"step": 117
|
390 |
},
|
391 |
{
|
392 |
+
"epoch": 39.86,
|
393 |
"learning_rate": 0.0,
|
394 |
+
"loss": 0.1483,
|
395 |
"step": 120
|
396 |
},
|
397 |
{
|
398 |
+
"epoch": 39.86,
|
399 |
+
"eval_accuracy": 1.0,
|
400 |
+
"eval_loss": 0.018766822293400764,
|
401 |
+
"eval_runtime": 3.369,
|
402 |
+
"eval_samples_per_second": 13.951,
|
403 |
+
"eval_steps_per_second": 0.594,
|
404 |
"step": 120
|
405 |
},
|
406 |
{
|
407 |
+
"epoch": 39.86,
|
408 |
"step": 120,
|
409 |
+
"total_flos": 4.138238964234977e+17,
|
410 |
+
"train_loss": 0.19912103215853375,
|
411 |
+
"train_runtime": 1848.5966,
|
412 |
+
"train_samples_per_second": 9.023,
|
413 |
+
"train_steps_per_second": 0.065
|
414 |
}
|
415 |
],
|
416 |
"max_steps": 120,
|
417 |
"num_train_epochs": 40,
|
418 |
+
"total_flos": 4.138238964234977e+17,
|
419 |
"trial_name": null,
|
420 |
"trial_params": null
|
421 |
}
|