JEdward7777
commited on
Commit
·
c4aa9fd
1
Parent(s):
fa604e4
End of training
Browse files- all_results.json +10 -10
- eval_results.json +5 -5
- runs/Aug31_20-06-02_8e3377bc5cfe/events.out.tfevents.1661977335.8e3377bc5cfe.71.2 +3 -0
- train_results.json +6 -6
- trainer_state.json +242 -242
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 1.0,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 1.
|
6 |
-
"eval_samples_per_second": 12.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
-
"total_flos": 1.
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second": 7.
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 39.8,
|
3 |
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 0.17870470881462097,
|
5 |
+
"eval_runtime": 1.3876,
|
6 |
+
"eval_samples_per_second": 12.251,
|
7 |
+
"eval_steps_per_second": 0.721,
|
8 |
+
"total_flos": 1.4763621798877594e+17,
|
9 |
+
"train_loss": 0.872883677482605,
|
10 |
+
"train_runtime": 746.1275,
|
11 |
+
"train_samples_per_second": 7.988,
|
12 |
+
"train_steps_per_second": 0.054
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 1.0,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 1.
|
6 |
-
"eval_samples_per_second": 12.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 39.8,
|
3 |
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 0.17870470881462097,
|
5 |
+
"eval_runtime": 1.3876,
|
6 |
+
"eval_samples_per_second": 12.251,
|
7 |
+
"eval_steps_per_second": 0.721
|
8 |
}
|
runs/Aug31_20-06-02_8e3377bc5cfe/events.out.tfevents.1661977335.8e3377bc5cfe.71.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e1bcd84562e39527d23dac6f745a3bf72e99ba37d2f3b00998546dc61b11e7e5
|
3 |
+
size 357
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos": 1.
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 7.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 39.8,
|
3 |
+
"total_flos": 1.4763621798877594e+17,
|
4 |
+
"train_loss": 0.872883677482605,
|
5 |
+
"train_runtime": 746.1275,
|
6 |
+
"train_samples_per_second": 7.988,
|
7 |
+
"train_steps_per_second": 0.054
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,397 +1,397 @@
|
|
1 |
{
|
2 |
"best_metric": 1.0,
|
3 |
-
"best_model_checkpoint": "delivery_truck_classification/checkpoint-
|
4 |
-
"epoch":
|
5 |
"global_step": 40,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
-
"epoch":
|
12 |
-
"eval_accuracy": 0.
|
13 |
-
"eval_loss":
|
14 |
-
"eval_runtime": 1.
|
15 |
-
"eval_samples_per_second":
|
16 |
-
"eval_steps_per_second": 0.
|
17 |
"step": 1
|
18 |
},
|
19 |
{
|
20 |
-
"epoch":
|
21 |
-
"eval_accuracy": 0.
|
22 |
-
"eval_loss":
|
23 |
-
"eval_runtime": 1.
|
24 |
-
"eval_samples_per_second":
|
25 |
-
"eval_steps_per_second": 0.
|
26 |
"step": 2
|
27 |
},
|
28 |
{
|
29 |
-
"epoch":
|
30 |
-
"eval_accuracy": 0.
|
31 |
-
"eval_loss": 1.
|
32 |
-
"eval_runtime": 1.
|
33 |
-
"eval_samples_per_second": 12.
|
34 |
-
"eval_steps_per_second": 0.
|
35 |
"step": 3
|
36 |
},
|
37 |
{
|
38 |
-
"epoch":
|
39 |
-
"eval_accuracy": 0.
|
40 |
-
"eval_loss": 1.
|
41 |
-
"eval_runtime": 1.
|
42 |
-
"eval_samples_per_second": 12.
|
43 |
-
"eval_steps_per_second": 0.
|
44 |
"step": 4
|
45 |
},
|
46 |
{
|
47 |
-
"epoch":
|
48 |
-
"eval_accuracy": 0.
|
49 |
-
"eval_loss": 1.
|
50 |
-
"eval_runtime": 1.
|
51 |
-
"eval_samples_per_second": 12.
|
52 |
-
"eval_steps_per_second": 0.
|
53 |
"step": 5
|
54 |
},
|
55 |
{
|
56 |
-
"epoch":
|
57 |
-
"eval_accuracy": 0.
|
58 |
-
"eval_loss": 1.
|
59 |
-
"eval_runtime": 1.
|
60 |
-
"eval_samples_per_second":
|
61 |
-
"eval_steps_per_second": 0.
|
62 |
"step": 6
|
63 |
},
|
64 |
{
|
65 |
-
"epoch":
|
66 |
-
"eval_accuracy": 0.
|
67 |
-
"eval_loss":
|
68 |
-
"eval_runtime": 1.
|
69 |
-
"eval_samples_per_second": 12.
|
70 |
-
"eval_steps_per_second": 0.
|
71 |
"step": 7
|
72 |
},
|
73 |
{
|
74 |
-
"epoch": 8
|
75 |
-
"eval_accuracy": 0.
|
76 |
-
"eval_loss": 0.
|
77 |
-
"eval_runtime": 1.
|
78 |
-
"eval_samples_per_second": 12.
|
79 |
-
"eval_steps_per_second": 0.
|
80 |
"step": 8
|
81 |
},
|
82 |
{
|
83 |
-
"epoch":
|
84 |
-
"eval_accuracy": 0.
|
85 |
-
"eval_loss": 0.
|
86 |
-
"eval_runtime": 1.
|
87 |
-
"eval_samples_per_second": 12.
|
88 |
-
"eval_steps_per_second": 0.
|
89 |
"step": 9
|
90 |
},
|
91 |
{
|
92 |
-
"epoch":
|
93 |
-
"eval_accuracy": 0.
|
94 |
-
"eval_loss": 0.
|
95 |
-
"eval_runtime": 1.
|
96 |
-
"eval_samples_per_second":
|
97 |
-
"eval_steps_per_second": 0.
|
98 |
"step": 10
|
99 |
},
|
100 |
{
|
101 |
-
"epoch":
|
102 |
-
"eval_accuracy": 0.
|
103 |
-
"eval_loss": 0.
|
104 |
-
"eval_runtime": 1.
|
105 |
-
"eval_samples_per_second":
|
106 |
-
"eval_steps_per_second": 0.
|
107 |
"step": 11
|
108 |
},
|
109 |
{
|
110 |
-
"epoch":
|
111 |
-
"eval_accuracy": 0.
|
112 |
-
"eval_loss": 0.
|
113 |
-
"eval_runtime": 1.
|
114 |
-
"eval_samples_per_second":
|
115 |
-
"eval_steps_per_second": 0.
|
116 |
"step": 12
|
117 |
},
|
118 |
{
|
119 |
-
"epoch":
|
120 |
-
"eval_accuracy": 0.
|
121 |
-
"eval_loss": 0.
|
122 |
-
"eval_runtime": 1.
|
123 |
-
"eval_samples_per_second":
|
124 |
-
"eval_steps_per_second": 0.
|
125 |
"step": 13
|
126 |
},
|
127 |
{
|
128 |
-
"epoch":
|
129 |
-
"eval_accuracy": 0.
|
130 |
-
"eval_loss": 0.
|
131 |
-
"eval_runtime": 1.
|
132 |
-
"eval_samples_per_second": 12.
|
133 |
-
"eval_steps_per_second": 0.
|
134 |
"step": 14
|
135 |
},
|
136 |
{
|
137 |
-
"epoch":
|
138 |
-
"eval_accuracy": 0.
|
139 |
-
"eval_loss": 0.
|
140 |
-
"eval_runtime": 1.
|
141 |
-
"eval_samples_per_second":
|
142 |
-
"eval_steps_per_second": 0.
|
143 |
"step": 15
|
144 |
},
|
145 |
{
|
146 |
-
"epoch":
|
147 |
-
"eval_accuracy":
|
148 |
-
"eval_loss": 0.
|
149 |
-
"eval_runtime": 1.
|
150 |
-
"eval_samples_per_second": 12.
|
151 |
-
"eval_steps_per_second": 0.
|
152 |
"step": 16
|
153 |
},
|
154 |
{
|
155 |
-
"epoch":
|
156 |
-
"eval_accuracy":
|
157 |
-
"eval_loss": 0.
|
158 |
-
"eval_runtime": 1.
|
159 |
-
"eval_samples_per_second": 12.
|
160 |
-
"eval_steps_per_second": 0.
|
161 |
"step": 17
|
162 |
},
|
163 |
{
|
164 |
-
"epoch":
|
165 |
-
"eval_accuracy":
|
166 |
-
"eval_loss": 0.
|
167 |
-
"eval_runtime": 1.
|
168 |
-
"eval_samples_per_second":
|
169 |
-
"eval_steps_per_second": 0.
|
170 |
"step": 18
|
171 |
},
|
172 |
{
|
173 |
-
"epoch":
|
174 |
-
"eval_accuracy":
|
175 |
-
"eval_loss": 0.
|
176 |
-
"eval_runtime": 1.
|
177 |
-
"eval_samples_per_second":
|
178 |
-
"eval_steps_per_second": 0.
|
179 |
"step": 19
|
180 |
},
|
181 |
{
|
182 |
-
"epoch":
|
183 |
"learning_rate": 2.777777777777778e-05,
|
184 |
-
"loss": 1.
|
185 |
"step": 20
|
186 |
},
|
187 |
{
|
188 |
-
"epoch":
|
189 |
-
"eval_accuracy":
|
190 |
-
"eval_loss": 0.
|
191 |
-
"eval_runtime": 1.
|
192 |
-
"eval_samples_per_second": 12.
|
193 |
-
"eval_steps_per_second": 0.
|
194 |
"step": 20
|
195 |
},
|
196 |
{
|
197 |
-
"epoch":
|
198 |
-
"eval_accuracy":
|
199 |
-
"eval_loss": 0.
|
200 |
-
"eval_runtime": 1.
|
201 |
-
"eval_samples_per_second":
|
202 |
-
"eval_steps_per_second": 0.
|
203 |
"step": 21
|
204 |
},
|
205 |
{
|
206 |
-
"epoch":
|
207 |
-
"eval_accuracy":
|
208 |
-
"eval_loss": 0.
|
209 |
-
"eval_runtime": 1.
|
210 |
-
"eval_samples_per_second":
|
211 |
-
"eval_steps_per_second": 0.
|
212 |
"step": 22
|
213 |
},
|
214 |
{
|
215 |
-
"epoch":
|
216 |
-
"eval_accuracy":
|
217 |
-
"eval_loss": 0.
|
218 |
-
"eval_runtime": 1.
|
219 |
-
"eval_samples_per_second":
|
220 |
-
"eval_steps_per_second": 0.
|
221 |
"step": 23
|
222 |
},
|
223 |
{
|
224 |
-
"epoch":
|
225 |
-
"eval_accuracy":
|
226 |
-
"eval_loss": 0.
|
227 |
-
"eval_runtime": 1.
|
228 |
-
"eval_samples_per_second":
|
229 |
-
"eval_steps_per_second": 0.
|
230 |
"step": 24
|
231 |
},
|
232 |
{
|
233 |
-
"epoch":
|
234 |
-
"eval_accuracy":
|
235 |
-
"eval_loss": 0.
|
236 |
-
"eval_runtime": 1.
|
237 |
-
"eval_samples_per_second":
|
238 |
-
"eval_steps_per_second": 0.
|
239 |
"step": 25
|
240 |
},
|
241 |
{
|
242 |
-
"epoch":
|
243 |
-
"eval_accuracy":
|
244 |
-
"eval_loss": 0.
|
245 |
-
"eval_runtime": 1.
|
246 |
-
"eval_samples_per_second":
|
247 |
-
"eval_steps_per_second": 0.
|
248 |
"step": 26
|
249 |
},
|
250 |
{
|
251 |
-
"epoch":
|
252 |
-
"eval_accuracy":
|
253 |
-
"eval_loss": 0.
|
254 |
-
"eval_runtime": 1.
|
255 |
-
"eval_samples_per_second":
|
256 |
-
"eval_steps_per_second": 0.
|
257 |
"step": 27
|
258 |
},
|
259 |
{
|
260 |
-
"epoch":
|
261 |
-
"eval_accuracy":
|
262 |
-
"eval_loss": 0.
|
263 |
-
"eval_runtime": 1.
|
264 |
-
"eval_samples_per_second":
|
265 |
-
"eval_steps_per_second": 0.
|
266 |
"step": 28
|
267 |
},
|
268 |
{
|
269 |
-
"epoch":
|
270 |
-
"eval_accuracy":
|
271 |
-
"eval_loss": 0.
|
272 |
-
"eval_runtime": 1.
|
273 |
-
"eval_samples_per_second":
|
274 |
-
"eval_steps_per_second": 0.
|
275 |
"step": 29
|
276 |
},
|
277 |
{
|
278 |
-
"epoch":
|
279 |
"eval_accuracy": 1.0,
|
280 |
-
"eval_loss": 0.
|
281 |
-
"eval_runtime": 1.
|
282 |
-
"eval_samples_per_second":
|
283 |
-
"eval_steps_per_second": 0.
|
284 |
"step": 30
|
285 |
},
|
286 |
{
|
287 |
-
"epoch":
|
288 |
"eval_accuracy": 1.0,
|
289 |
-
"eval_loss": 0.
|
290 |
-
"eval_runtime": 1.
|
291 |
-
"eval_samples_per_second": 12.
|
292 |
-
"eval_steps_per_second": 0.
|
293 |
"step": 31
|
294 |
},
|
295 |
{
|
296 |
-
"epoch":
|
297 |
"eval_accuracy": 1.0,
|
298 |
-
"eval_loss": 0.
|
299 |
-
"eval_runtime": 1.
|
300 |
-
"eval_samples_per_second":
|
301 |
-
"eval_steps_per_second": 0.
|
302 |
"step": 32
|
303 |
},
|
304 |
{
|
305 |
-
"epoch":
|
306 |
"eval_accuracy": 1.0,
|
307 |
-
"eval_loss": 0.
|
308 |
-
"eval_runtime": 1.
|
309 |
-
"eval_samples_per_second": 12.
|
310 |
-
"eval_steps_per_second": 0.
|
311 |
"step": 33
|
312 |
},
|
313 |
{
|
314 |
-
"epoch":
|
315 |
"eval_accuracy": 1.0,
|
316 |
-
"eval_loss": 0.
|
317 |
-
"eval_runtime": 1.
|
318 |
-
"eval_samples_per_second": 12.
|
319 |
-
"eval_steps_per_second": 0.
|
320 |
"step": 34
|
321 |
},
|
322 |
{
|
323 |
-
"epoch":
|
324 |
"eval_accuracy": 1.0,
|
325 |
-
"eval_loss": 0.
|
326 |
-
"eval_runtime": 1.
|
327 |
-
"eval_samples_per_second": 12.
|
328 |
-
"eval_steps_per_second": 0.
|
329 |
"step": 35
|
330 |
},
|
331 |
{
|
332 |
-
"epoch":
|
333 |
"eval_accuracy": 1.0,
|
334 |
-
"eval_loss": 0.
|
335 |
-
"eval_runtime": 1.
|
336 |
-
"eval_samples_per_second": 12.
|
337 |
-
"eval_steps_per_second": 0.
|
338 |
"step": 36
|
339 |
},
|
340 |
{
|
341 |
-
"epoch":
|
342 |
"eval_accuracy": 1.0,
|
343 |
-
"eval_loss": 0.
|
344 |
-
"eval_runtime": 1.
|
345 |
-
"eval_samples_per_second":
|
346 |
-
"eval_steps_per_second": 0.
|
347 |
"step": 37
|
348 |
},
|
349 |
{
|
350 |
-
"epoch":
|
351 |
"eval_accuracy": 1.0,
|
352 |
-
"eval_loss": 0.
|
353 |
-
"eval_runtime": 1.
|
354 |
-
"eval_samples_per_second": 12.
|
355 |
-
"eval_steps_per_second": 0.
|
356 |
"step": 38
|
357 |
},
|
358 |
{
|
359 |
-
"epoch":
|
360 |
"eval_accuracy": 1.0,
|
361 |
-
"eval_loss": 0.
|
362 |
-
"eval_runtime": 1.
|
363 |
-
"eval_samples_per_second":
|
364 |
-
"eval_steps_per_second": 0.
|
365 |
"step": 39
|
366 |
},
|
367 |
{
|
368 |
-
"epoch":
|
369 |
"learning_rate": 0.0,
|
370 |
-
"loss": 0.
|
371 |
"step": 40
|
372 |
},
|
373 |
{
|
374 |
-
"epoch":
|
375 |
"eval_accuracy": 1.0,
|
376 |
-
"eval_loss": 0.
|
377 |
-
"eval_runtime": 1.
|
378 |
-
"eval_samples_per_second":
|
379 |
-
"eval_steps_per_second": 0.
|
380 |
"step": 40
|
381 |
},
|
382 |
{
|
383 |
-
"epoch":
|
384 |
"step": 40,
|
385 |
-
"total_flos": 1.
|
386 |
-
"train_loss": 0.
|
387 |
-
"train_runtime":
|
388 |
-
"train_samples_per_second": 7.
|
389 |
-
"train_steps_per_second": 0.
|
390 |
}
|
391 |
],
|
392 |
"max_steps": 40,
|
393 |
"num_train_epochs": 40,
|
394 |
-
"total_flos": 1.
|
395 |
"trial_name": null,
|
396 |
"trial_params": null
|
397 |
}
|
|
|
1 |
{
|
2 |
"best_metric": 1.0,
|
3 |
+
"best_model_checkpoint": "delivery_truck_classification/checkpoint-30",
|
4 |
+
"epoch": 39.8,
|
5 |
"global_step": 40,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 0.8,
|
12 |
+
"eval_accuracy": 0.058823529411764705,
|
13 |
+
"eval_loss": 2.079441785812378,
|
14 |
+
"eval_runtime": 1.4317,
|
15 |
+
"eval_samples_per_second": 11.874,
|
16 |
+
"eval_steps_per_second": 0.698,
|
17 |
"step": 1
|
18 |
},
|
19 |
{
|
20 |
+
"epoch": 1.8,
|
21 |
+
"eval_accuracy": 0.11764705882352941,
|
22 |
+
"eval_loss": 2.0046820640563965,
|
23 |
+
"eval_runtime": 1.4647,
|
24 |
+
"eval_samples_per_second": 11.607,
|
25 |
+
"eval_steps_per_second": 0.683,
|
26 |
"step": 2
|
27 |
},
|
28 |
{
|
29 |
+
"epoch": 2.8,
|
30 |
+
"eval_accuracy": 0.17647058823529413,
|
31 |
+
"eval_loss": 1.866559624671936,
|
32 |
+
"eval_runtime": 1.4101,
|
33 |
+
"eval_samples_per_second": 12.056,
|
34 |
+
"eval_steps_per_second": 0.709,
|
35 |
"step": 3
|
36 |
},
|
37 |
{
|
38 |
+
"epoch": 3.8,
|
39 |
+
"eval_accuracy": 0.23529411764705882,
|
40 |
+
"eval_loss": 1.6799691915512085,
|
41 |
+
"eval_runtime": 1.3922,
|
42 |
+
"eval_samples_per_second": 12.211,
|
43 |
+
"eval_steps_per_second": 0.718,
|
44 |
"step": 4
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 4.8,
|
48 |
+
"eval_accuracy": 0.35294117647058826,
|
49 |
+
"eval_loss": 1.4622201919555664,
|
50 |
+
"eval_runtime": 1.3944,
|
51 |
+
"eval_samples_per_second": 12.191,
|
52 |
+
"eval_steps_per_second": 0.717,
|
53 |
"step": 5
|
54 |
},
|
55 |
{
|
56 |
+
"epoch": 5.8,
|
57 |
+
"eval_accuracy": 0.5882352941176471,
|
58 |
+
"eval_loss": 1.2880315780639648,
|
59 |
+
"eval_runtime": 1.4241,
|
60 |
+
"eval_samples_per_second": 11.937,
|
61 |
+
"eval_steps_per_second": 0.702,
|
62 |
"step": 6
|
63 |
},
|
64 |
{
|
65 |
+
"epoch": 6.8,
|
66 |
+
"eval_accuracy": 0.8823529411764706,
|
67 |
+
"eval_loss": 1.1315902471542358,
|
68 |
+
"eval_runtime": 1.3664,
|
69 |
+
"eval_samples_per_second": 12.442,
|
70 |
+
"eval_steps_per_second": 0.732,
|
71 |
"step": 7
|
72 |
},
|
73 |
{
|
74 |
+
"epoch": 7.8,
|
75 |
+
"eval_accuracy": 0.8823529411764706,
|
76 |
+
"eval_loss": 0.9924841523170471,
|
77 |
+
"eval_runtime": 1.3155,
|
78 |
+
"eval_samples_per_second": 12.923,
|
79 |
+
"eval_steps_per_second": 0.76,
|
80 |
"step": 8
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 8.8,
|
84 |
+
"eval_accuracy": 0.8823529411764706,
|
85 |
+
"eval_loss": 0.8822251558303833,
|
86 |
+
"eval_runtime": 1.399,
|
87 |
+
"eval_samples_per_second": 12.152,
|
88 |
+
"eval_steps_per_second": 0.715,
|
89 |
"step": 9
|
90 |
},
|
91 |
{
|
92 |
+
"epoch": 9.8,
|
93 |
+
"eval_accuracy": 0.8823529411764706,
|
94 |
+
"eval_loss": 0.7928468585014343,
|
95 |
+
"eval_runtime": 1.4175,
|
96 |
+
"eval_samples_per_second": 11.993,
|
97 |
+
"eval_steps_per_second": 0.705,
|
98 |
"step": 10
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 10.8,
|
102 |
+
"eval_accuracy": 0.8823529411764706,
|
103 |
+
"eval_loss": 0.7265812754631042,
|
104 |
+
"eval_runtime": 1.4201,
|
105 |
+
"eval_samples_per_second": 11.971,
|
106 |
+
"eval_steps_per_second": 0.704,
|
107 |
"step": 11
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 11.8,
|
111 |
+
"eval_accuracy": 0.8823529411764706,
|
112 |
+
"eval_loss": 0.6715043783187866,
|
113 |
+
"eval_runtime": 1.4255,
|
114 |
+
"eval_samples_per_second": 11.925,
|
115 |
+
"eval_steps_per_second": 0.701,
|
116 |
"step": 12
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 12.8,
|
120 |
+
"eval_accuracy": 0.8823529411764706,
|
121 |
+
"eval_loss": 0.6238242387771606,
|
122 |
+
"eval_runtime": 1.4187,
|
123 |
+
"eval_samples_per_second": 11.983,
|
124 |
+
"eval_steps_per_second": 0.705,
|
125 |
"step": 13
|
126 |
},
|
127 |
{
|
128 |
+
"epoch": 13.8,
|
129 |
+
"eval_accuracy": 0.8823529411764706,
|
130 |
+
"eval_loss": 0.5792789459228516,
|
131 |
+
"eval_runtime": 1.4156,
|
132 |
+
"eval_samples_per_second": 12.009,
|
133 |
+
"eval_steps_per_second": 0.706,
|
134 |
"step": 14
|
135 |
},
|
136 |
{
|
137 |
+
"epoch": 14.8,
|
138 |
+
"eval_accuracy": 0.8823529411764706,
|
139 |
+
"eval_loss": 0.542333722114563,
|
140 |
+
"eval_runtime": 1.5783,
|
141 |
+
"eval_samples_per_second": 10.771,
|
142 |
+
"eval_steps_per_second": 0.634,
|
143 |
"step": 15
|
144 |
},
|
145 |
{
|
146 |
+
"epoch": 15.8,
|
147 |
+
"eval_accuracy": 0.8823529411764706,
|
148 |
+
"eval_loss": 0.5102801322937012,
|
149 |
+
"eval_runtime": 1.4137,
|
150 |
+
"eval_samples_per_second": 12.025,
|
151 |
+
"eval_steps_per_second": 0.707,
|
152 |
"step": 16
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 16.8,
|
156 |
+
"eval_accuracy": 0.9411764705882353,
|
157 |
+
"eval_loss": 0.486479252576828,
|
158 |
+
"eval_runtime": 1.4145,
|
159 |
+
"eval_samples_per_second": 12.019,
|
160 |
+
"eval_steps_per_second": 0.707,
|
161 |
"step": 17
|
162 |
},
|
163 |
{
|
164 |
+
"epoch": 17.8,
|
165 |
+
"eval_accuracy": 0.9411764705882353,
|
166 |
+
"eval_loss": 0.46346449851989746,
|
167 |
+
"eval_runtime": 1.4531,
|
168 |
+
"eval_samples_per_second": 11.699,
|
169 |
+
"eval_steps_per_second": 0.688,
|
170 |
"step": 18
|
171 |
},
|
172 |
{
|
173 |
+
"epoch": 18.8,
|
174 |
+
"eval_accuracy": 0.9411764705882353,
|
175 |
+
"eval_loss": 0.43990573287010193,
|
176 |
+
"eval_runtime": 1.4361,
|
177 |
+
"eval_samples_per_second": 11.838,
|
178 |
+
"eval_steps_per_second": 0.696,
|
179 |
"step": 19
|
180 |
},
|
181 |
{
|
182 |
+
"epoch": 19.8,
|
183 |
"learning_rate": 2.777777777777778e-05,
|
184 |
+
"loss": 1.3142,
|
185 |
"step": 20
|
186 |
},
|
187 |
{
|
188 |
+
"epoch": 19.8,
|
189 |
+
"eval_accuracy": 0.9411764705882353,
|
190 |
+
"eval_loss": 0.41191565990448,
|
191 |
+
"eval_runtime": 1.4086,
|
192 |
+
"eval_samples_per_second": 12.069,
|
193 |
+
"eval_steps_per_second": 0.71,
|
194 |
"step": 20
|
195 |
},
|
196 |
{
|
197 |
+
"epoch": 20.8,
|
198 |
+
"eval_accuracy": 0.9411764705882353,
|
199 |
+
"eval_loss": 0.3842789828777313,
|
200 |
+
"eval_runtime": 1.4599,
|
201 |
+
"eval_samples_per_second": 11.644,
|
202 |
+
"eval_steps_per_second": 0.685,
|
203 |
"step": 21
|
204 |
},
|
205 |
{
|
206 |
+
"epoch": 21.8,
|
207 |
+
"eval_accuracy": 0.9411764705882353,
|
208 |
+
"eval_loss": 0.3496580719947815,
|
209 |
+
"eval_runtime": 1.2811,
|
210 |
+
"eval_samples_per_second": 13.27,
|
211 |
+
"eval_steps_per_second": 0.781,
|
212 |
"step": 22
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 22.8,
|
216 |
+
"eval_accuracy": 0.9411764705882353,
|
217 |
+
"eval_loss": 0.31610190868377686,
|
218 |
+
"eval_runtime": 1.3996,
|
219 |
+
"eval_samples_per_second": 12.146,
|
220 |
+
"eval_steps_per_second": 0.714,
|
221 |
"step": 23
|
222 |
},
|
223 |
{
|
224 |
+
"epoch": 23.8,
|
225 |
+
"eval_accuracy": 0.9411764705882353,
|
226 |
+
"eval_loss": 0.28501880168914795,
|
227 |
+
"eval_runtime": 1.4408,
|
228 |
+
"eval_samples_per_second": 11.799,
|
229 |
+
"eval_steps_per_second": 0.694,
|
230 |
"step": 24
|
231 |
},
|
232 |
{
|
233 |
+
"epoch": 24.8,
|
234 |
+
"eval_accuracy": 0.9411764705882353,
|
235 |
+
"eval_loss": 0.2581336200237274,
|
236 |
+
"eval_runtime": 1.4791,
|
237 |
+
"eval_samples_per_second": 11.493,
|
238 |
+
"eval_steps_per_second": 0.676,
|
239 |
"step": 25
|
240 |
},
|
241 |
{
|
242 |
+
"epoch": 25.8,
|
243 |
+
"eval_accuracy": 0.9411764705882353,
|
244 |
+
"eval_loss": 0.23626860976219177,
|
245 |
+
"eval_runtime": 1.4224,
|
246 |
+
"eval_samples_per_second": 11.952,
|
247 |
+
"eval_steps_per_second": 0.703,
|
248 |
"step": 26
|
249 |
},
|
250 |
{
|
251 |
+
"epoch": 26.8,
|
252 |
+
"eval_accuracy": 0.9411764705882353,
|
253 |
+
"eval_loss": 0.21788160502910614,
|
254 |
+
"eval_runtime": 1.4535,
|
255 |
+
"eval_samples_per_second": 11.696,
|
256 |
+
"eval_steps_per_second": 0.688,
|
257 |
"step": 27
|
258 |
},
|
259 |
{
|
260 |
+
"epoch": 27.8,
|
261 |
+
"eval_accuracy": 0.9411764705882353,
|
262 |
+
"eval_loss": 0.20291975140571594,
|
263 |
+
"eval_runtime": 1.4574,
|
264 |
+
"eval_samples_per_second": 11.665,
|
265 |
+
"eval_steps_per_second": 0.686,
|
266 |
"step": 28
|
267 |
},
|
268 |
{
|
269 |
+
"epoch": 28.8,
|
270 |
+
"eval_accuracy": 0.9411764705882353,
|
271 |
+
"eval_loss": 0.19029618799686432,
|
272 |
+
"eval_runtime": 1.3,
|
273 |
+
"eval_samples_per_second": 13.077,
|
274 |
+
"eval_steps_per_second": 0.769,
|
275 |
"step": 29
|
276 |
},
|
277 |
{
|
278 |
+
"epoch": 29.8,
|
279 |
"eval_accuracy": 1.0,
|
280 |
+
"eval_loss": 0.17870470881462097,
|
281 |
+
"eval_runtime": 1.4384,
|
282 |
+
"eval_samples_per_second": 11.818,
|
283 |
+
"eval_steps_per_second": 0.695,
|
284 |
"step": 30
|
285 |
},
|
286 |
{
|
287 |
+
"epoch": 30.8,
|
288 |
"eval_accuracy": 1.0,
|
289 |
+
"eval_loss": 0.1676449328660965,
|
290 |
+
"eval_runtime": 1.4058,
|
291 |
+
"eval_samples_per_second": 12.093,
|
292 |
+
"eval_steps_per_second": 0.711,
|
293 |
"step": 31
|
294 |
},
|
295 |
{
|
296 |
+
"epoch": 31.8,
|
297 |
"eval_accuracy": 1.0,
|
298 |
+
"eval_loss": 0.15808852016925812,
|
299 |
+
"eval_runtime": 1.4182,
|
300 |
+
"eval_samples_per_second": 11.987,
|
301 |
+
"eval_steps_per_second": 0.705,
|
302 |
"step": 32
|
303 |
},
|
304 |
{
|
305 |
+
"epoch": 32.8,
|
306 |
"eval_accuracy": 1.0,
|
307 |
+
"eval_loss": 0.14869734644889832,
|
308 |
+
"eval_runtime": 1.3868,
|
309 |
+
"eval_samples_per_second": 12.259,
|
310 |
+
"eval_steps_per_second": 0.721,
|
311 |
"step": 33
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 33.8,
|
315 |
"eval_accuracy": 1.0,
|
316 |
+
"eval_loss": 0.14104951918125153,
|
317 |
+
"eval_runtime": 1.3908,
|
318 |
+
"eval_samples_per_second": 12.223,
|
319 |
+
"eval_steps_per_second": 0.719,
|
320 |
"step": 34
|
321 |
},
|
322 |
{
|
323 |
+
"epoch": 34.8,
|
324 |
"eval_accuracy": 1.0,
|
325 |
+
"eval_loss": 0.13486798107624054,
|
326 |
+
"eval_runtime": 1.4139,
|
327 |
+
"eval_samples_per_second": 12.023,
|
328 |
+
"eval_steps_per_second": 0.707,
|
329 |
"step": 35
|
330 |
},
|
331 |
{
|
332 |
+
"epoch": 35.8,
|
333 |
"eval_accuracy": 1.0,
|
334 |
+
"eval_loss": 0.13010667264461517,
|
335 |
+
"eval_runtime": 1.3204,
|
336 |
+
"eval_samples_per_second": 12.875,
|
337 |
+
"eval_steps_per_second": 0.757,
|
338 |
"step": 36
|
339 |
},
|
340 |
{
|
341 |
+
"epoch": 36.8,
|
342 |
"eval_accuracy": 1.0,
|
343 |
+
"eval_loss": 0.12663623690605164,
|
344 |
+
"eval_runtime": 1.4211,
|
345 |
+
"eval_samples_per_second": 11.963,
|
346 |
+
"eval_steps_per_second": 0.704,
|
347 |
"step": 37
|
348 |
},
|
349 |
{
|
350 |
+
"epoch": 37.8,
|
351 |
"eval_accuracy": 1.0,
|
352 |
+
"eval_loss": 0.12430554628372192,
|
353 |
+
"eval_runtime": 1.4023,
|
354 |
+
"eval_samples_per_second": 12.123,
|
355 |
+
"eval_steps_per_second": 0.713,
|
356 |
"step": 38
|
357 |
},
|
358 |
{
|
359 |
+
"epoch": 38.8,
|
360 |
"eval_accuracy": 1.0,
|
361 |
+
"eval_loss": 0.12299124151468277,
|
362 |
+
"eval_runtime": 1.4925,
|
363 |
+
"eval_samples_per_second": 11.39,
|
364 |
+
"eval_steps_per_second": 0.67,
|
365 |
"step": 39
|
366 |
},
|
367 |
{
|
368 |
+
"epoch": 39.8,
|
369 |
"learning_rate": 0.0,
|
370 |
+
"loss": 0.4316,
|
371 |
"step": 40
|
372 |
},
|
373 |
{
|
374 |
+
"epoch": 39.8,
|
375 |
"eval_accuracy": 1.0,
|
376 |
+
"eval_loss": 0.12227079272270203,
|
377 |
+
"eval_runtime": 1.5093,
|
378 |
+
"eval_samples_per_second": 11.264,
|
379 |
+
"eval_steps_per_second": 0.663,
|
380 |
"step": 40
|
381 |
},
|
382 |
{
|
383 |
+
"epoch": 39.8,
|
384 |
"step": 40,
|
385 |
+
"total_flos": 1.4763621798877594e+17,
|
386 |
+
"train_loss": 0.872883677482605,
|
387 |
+
"train_runtime": 746.1275,
|
388 |
+
"train_samples_per_second": 7.988,
|
389 |
+
"train_steps_per_second": 0.054
|
390 |
}
|
391 |
],
|
392 |
"max_steps": 40,
|
393 |
"num_train_epochs": 40,
|
394 |
+
"total_flos": 1.4763621798877594e+17,
|
395 |
"trial_name": null,
|
396 |
"trial_params": null
|
397 |
}
|