End of training
Browse files
README.md
CHANGED
@@ -3,6 +3,9 @@ library_name: transformers
|
|
3 |
license: apache-2.0
|
4 |
base_model: c14kevincardenas/beit-large-patch16-384-limb
|
5 |
tags:
|
|
|
|
|
|
|
6 |
- generated_from_trainer
|
7 |
model-index:
|
8 |
- name: limbxy_ext_crop_hands
|
@@ -14,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# limbxy_ext_crop_hands
|
16 |
|
17 |
-
This model is a fine-tuned version of [c14kevincardenas/beit-large-patch16-384-limb](https://huggingface.co/c14kevincardenas/beit-large-patch16-384-limb) on
|
18 |
It achieves the following results on the evaluation set:
|
19 |
- Loss: 0.0130
|
20 |
- Rmse: 0.1140
|
|
|
3 |
license: apache-2.0
|
4 |
base_model: c14kevincardenas/beit-large-patch16-384-limb
|
5 |
tags:
|
6 |
+
- image-regression
|
7 |
+
- human-movement
|
8 |
+
- vision
|
9 |
- generated_from_trainer
|
10 |
model-index:
|
11 |
- name: limbxy_ext_crop_hands
|
|
|
17 |
|
18 |
# limbxy_ext_crop_hands
|
19 |
|
20 |
+
This model is a fine-tuned version of [c14kevincardenas/beit-large-patch16-384-limb](https://huggingface.co/c14kevincardenas/beit-large-patch16-384-limb) on the c14kevincardenas/beta_caller_284_limbxy_ext_crop_hands dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
- Loss: 0.0130
|
23 |
- Rmse: 0.1140
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_rmse": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 1.
|
8 |
"total_flos": 0.0,
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second": 33.
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
+
"eval_loss": 0.012980646453797817,
|
4 |
+
"eval_rmse": 0.11399345099925995,
|
5 |
+
"eval_runtime": 4.987,
|
6 |
+
"eval_samples_per_second": 104.873,
|
7 |
+
"eval_steps_per_second": 1.805,
|
8 |
"total_flos": 0.0,
|
9 |
+
"train_loss": 0.03554724605476602,
|
10 |
+
"train_runtime": 1780.6867,
|
11 |
+
"train_samples_per_second": 33.279,
|
12 |
+
"train_steps_per_second": 0.528
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_rmse": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 1.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
+
"eval_loss": 0.012980646453797817,
|
4 |
+
"eval_rmse": 0.11399345099925995,
|
5 |
+
"eval_runtime": 4.987,
|
6 |
+
"eval_samples_per_second": 104.873,
|
7 |
+
"eval_steps_per_second": 1.805
|
8 |
}
|
runs/Oct25_16-03-52_galactica.ad.cirange.net/events.out.tfevents.1729874125.galactica.ad.cirange.net.151270.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c31a8e5ab6a3cee7765ba53a47235eb16c989ba0bb44483f453e8682b9e2c1c1
|
3 |
+
size 407
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
"total_flos": 0.0,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 33.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 20.0,
|
3 |
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.03554724605476602,
|
5 |
+
"train_runtime": 1780.6867,
|
6 |
+
"train_samples_per_second": 33.279,
|
7 |
+
"train_steps_per_second": 0.528
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
"best_model_checkpoint": "/mnt/ml_drive/kcardenas/limbxy_ext_crop_hands/checkpoint-940",
|
4 |
"epoch": 20.0,
|
5 |
"eval_steps": 500,
|
@@ -10,451 +10,451 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.5319148936170213,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 5e-06,
|
15 |
-
"loss": 0.
|
16 |
"step": 25
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
-
"eval_loss": 0.
|
21 |
-
"eval_rmse": 0.
|
22 |
-
"eval_runtime": 5.
|
23 |
-
"eval_samples_per_second":
|
24 |
-
"eval_steps_per_second": 1.
|
25 |
"step": 47
|
26 |
},
|
27 |
{
|
28 |
"epoch": 1.0638297872340425,
|
29 |
-
"grad_norm":
|
30 |
"learning_rate": 1e-05,
|
31 |
-
"loss": 0.
|
32 |
"step": 50
|
33 |
},
|
34 |
{
|
35 |
"epoch": 1.5957446808510638,
|
36 |
-
"grad_norm":
|
37 |
"learning_rate": 1.5e-05,
|
38 |
-
"loss": 0.
|
39 |
"step": 75
|
40 |
},
|
41 |
{
|
42 |
"epoch": 2.0,
|
43 |
-
"eval_loss": 0.
|
44 |
-
"eval_rmse": 0.
|
45 |
-
"eval_runtime":
|
46 |
-
"eval_samples_per_second":
|
47 |
-
"eval_steps_per_second": 1.
|
48 |
"step": 94
|
49 |
},
|
50 |
{
|
51 |
"epoch": 2.127659574468085,
|
52 |
-
"grad_norm":
|
53 |
"learning_rate": 2e-05,
|
54 |
-
"loss": 0.
|
55 |
"step": 100
|
56 |
},
|
57 |
{
|
58 |
"epoch": 2.6595744680851063,
|
59 |
-
"grad_norm":
|
60 |
"learning_rate": 2.5e-05,
|
61 |
-
"loss": 0.
|
62 |
"step": 125
|
63 |
},
|
64 |
{
|
65 |
"epoch": 3.0,
|
66 |
-
"eval_loss": 0.
|
67 |
-
"eval_rmse": 0.
|
68 |
-
"eval_runtime": 4.
|
69 |
-
"eval_samples_per_second":
|
70 |
-
"eval_steps_per_second": 1.
|
71 |
"step": 141
|
72 |
},
|
73 |
{
|
74 |
"epoch": 3.1914893617021276,
|
75 |
-
"grad_norm":
|
76 |
"learning_rate": 3e-05,
|
77 |
-
"loss": 0.
|
78 |
"step": 150
|
79 |
},
|
80 |
{
|
81 |
"epoch": 3.723404255319149,
|
82 |
-
"grad_norm":
|
83 |
"learning_rate": 3.5e-05,
|
84 |
-
"loss": 0.
|
85 |
"step": 175
|
86 |
},
|
87 |
{
|
88 |
"epoch": 4.0,
|
89 |
-
"eval_loss": 0.
|
90 |
-
"eval_rmse": 0.
|
91 |
-
"eval_runtime": 4.
|
92 |
-
"eval_samples_per_second":
|
93 |
-
"eval_steps_per_second": 1.
|
94 |
"step": 188
|
95 |
},
|
96 |
{
|
97 |
"epoch": 4.25531914893617,
|
98 |
-
"grad_norm":
|
99 |
"learning_rate": 4e-05,
|
100 |
-
"loss": 0.
|
101 |
"step": 200
|
102 |
},
|
103 |
{
|
104 |
"epoch": 4.787234042553192,
|
105 |
-
"grad_norm":
|
106 |
"learning_rate": 4.5e-05,
|
107 |
-
"loss": 0.
|
108 |
"step": 225
|
109 |
},
|
110 |
{
|
111 |
"epoch": 5.0,
|
112 |
-
"eval_loss": 0.
|
113 |
-
"eval_rmse": 0.
|
114 |
-
"eval_runtime":
|
115 |
-
"eval_samples_per_second":
|
116 |
-
"eval_steps_per_second": 1.
|
117 |
"step": 235
|
118 |
},
|
119 |
{
|
120 |
"epoch": 5.319148936170213,
|
121 |
-
"grad_norm":
|
122 |
"learning_rate": 5e-05,
|
123 |
-
"loss": 0.
|
124 |
"step": 250
|
125 |
},
|
126 |
{
|
127 |
"epoch": 5.851063829787234,
|
128 |
-
"grad_norm":
|
129 |
"learning_rate": 4.818840579710145e-05,
|
130 |
-
"loss": 0.
|
131 |
"step": 275
|
132 |
},
|
133 |
{
|
134 |
"epoch": 6.0,
|
135 |
-
"eval_loss": 0.
|
136 |
-
"eval_rmse": 0.
|
137 |
-
"eval_runtime": 5.
|
138 |
-
"eval_samples_per_second":
|
139 |
-
"eval_steps_per_second": 1.
|
140 |
"step": 282
|
141 |
},
|
142 |
{
|
143 |
"epoch": 6.382978723404255,
|
144 |
-
"grad_norm":
|
145 |
"learning_rate": 4.63768115942029e-05,
|
146 |
-
"loss": 0.
|
147 |
"step": 300
|
148 |
},
|
149 |
{
|
150 |
"epoch": 6.914893617021277,
|
151 |
-
"grad_norm":
|
152 |
"learning_rate": 4.456521739130435e-05,
|
153 |
-
"loss": 0.
|
154 |
"step": 325
|
155 |
},
|
156 |
{
|
157 |
"epoch": 7.0,
|
158 |
-
"eval_loss": 0.
|
159 |
-
"eval_rmse": 0.
|
160 |
-
"eval_runtime":
|
161 |
-
"eval_samples_per_second":
|
162 |
-
"eval_steps_per_second": 1.
|
163 |
"step": 329
|
164 |
},
|
165 |
{
|
166 |
"epoch": 7.446808510638298,
|
167 |
-
"grad_norm":
|
168 |
"learning_rate": 4.27536231884058e-05,
|
169 |
-
"loss": 0.
|
170 |
"step": 350
|
171 |
},
|
172 |
{
|
173 |
"epoch": 7.9787234042553195,
|
174 |
-
"grad_norm":
|
175 |
"learning_rate": 4.094202898550725e-05,
|
176 |
-
"loss": 0.
|
177 |
"step": 375
|
178 |
},
|
179 |
{
|
180 |
"epoch": 8.0,
|
181 |
-
"eval_loss": 0.
|
182 |
-
"eval_rmse": 0.
|
183 |
-
"eval_runtime":
|
184 |
-
"eval_samples_per_second":
|
185 |
-
"eval_steps_per_second": 1.
|
186 |
"step": 376
|
187 |
},
|
188 |
{
|
189 |
"epoch": 8.51063829787234,
|
190 |
-
"grad_norm":
|
191 |
"learning_rate": 3.91304347826087e-05,
|
192 |
-
"loss": 0.
|
193 |
"step": 400
|
194 |
},
|
195 |
{
|
196 |
"epoch": 9.0,
|
197 |
-
"eval_loss": 0.
|
198 |
-
"eval_rmse": 0.
|
199 |
-
"eval_runtime":
|
200 |
-
"eval_samples_per_second":
|
201 |
-
"eval_steps_per_second": 1.
|
202 |
"step": 423
|
203 |
},
|
204 |
{
|
205 |
"epoch": 9.042553191489361,
|
206 |
-
"grad_norm":
|
207 |
"learning_rate": 3.7318840579710144e-05,
|
208 |
-
"loss": 0.
|
209 |
"step": 425
|
210 |
},
|
211 |
{
|
212 |
"epoch": 9.574468085106384,
|
213 |
-
"grad_norm":
|
214 |
"learning_rate": 3.5507246376811596e-05,
|
215 |
-
"loss": 0.
|
216 |
"step": 450
|
217 |
},
|
218 |
{
|
219 |
"epoch": 10.0,
|
220 |
-
"eval_loss": 0.
|
221 |
-
"eval_rmse": 0.
|
222 |
-
"eval_runtime": 4.
|
223 |
-
"eval_samples_per_second":
|
224 |
-
"eval_steps_per_second": 1.
|
225 |
"step": 470
|
226 |
},
|
227 |
{
|
228 |
"epoch": 10.106382978723405,
|
229 |
-
"grad_norm":
|
230 |
"learning_rate": 3.369565217391305e-05,
|
231 |
-
"loss": 0.
|
232 |
"step": 475
|
233 |
},
|
234 |
{
|
235 |
"epoch": 10.638297872340425,
|
236 |
-
"grad_norm":
|
237 |
"learning_rate": 3.188405797101449e-05,
|
238 |
-
"loss": 0.
|
239 |
"step": 500
|
240 |
},
|
241 |
{
|
242 |
"epoch": 11.0,
|
243 |
-
"eval_loss": 0.
|
244 |
-
"eval_rmse": 0.
|
245 |
-
"eval_runtime":
|
246 |
-
"eval_samples_per_second":
|
247 |
-
"eval_steps_per_second": 1.
|
248 |
"step": 517
|
249 |
},
|
250 |
{
|
251 |
"epoch": 11.170212765957446,
|
252 |
-
"grad_norm":
|
253 |
"learning_rate": 3.0072463768115944e-05,
|
254 |
-
"loss": 0.
|
255 |
"step": 525
|
256 |
},
|
257 |
{
|
258 |
"epoch": 11.702127659574469,
|
259 |
-
"grad_norm":
|
260 |
"learning_rate": 2.826086956521739e-05,
|
261 |
-
"loss": 0.
|
262 |
"step": 550
|
263 |
},
|
264 |
{
|
265 |
"epoch": 12.0,
|
266 |
-
"eval_loss": 0.
|
267 |
-
"eval_rmse": 0.
|
268 |
-
"eval_runtime": 4.
|
269 |
-
"eval_samples_per_second":
|
270 |
-
"eval_steps_per_second": 1.
|
271 |
"step": 564
|
272 |
},
|
273 |
{
|
274 |
"epoch": 12.23404255319149,
|
275 |
-
"grad_norm":
|
276 |
"learning_rate": 2.6449275362318844e-05,
|
277 |
-
"loss": 0.
|
278 |
"step": 575
|
279 |
},
|
280 |
{
|
281 |
"epoch": 12.76595744680851,
|
282 |
-
"grad_norm":
|
283 |
"learning_rate": 2.4637681159420292e-05,
|
284 |
-
"loss": 0.
|
285 |
"step": 600
|
286 |
},
|
287 |
{
|
288 |
"epoch": 13.0,
|
289 |
-
"eval_loss": 0.
|
290 |
-
"eval_rmse": 0.
|
291 |
-
"eval_runtime": 5.
|
292 |
-
"eval_samples_per_second": 103.
|
293 |
-
"eval_steps_per_second": 1.
|
294 |
"step": 611
|
295 |
},
|
296 |
{
|
297 |
"epoch": 13.297872340425531,
|
298 |
-
"grad_norm":
|
299 |
"learning_rate": 2.282608695652174e-05,
|
300 |
-
"loss": 0.
|
301 |
"step": 625
|
302 |
},
|
303 |
{
|
304 |
"epoch": 13.829787234042554,
|
305 |
-
"grad_norm":
|
306 |
"learning_rate": 2.101449275362319e-05,
|
307 |
-
"loss": 0.
|
308 |
"step": 650
|
309 |
},
|
310 |
{
|
311 |
"epoch": 14.0,
|
312 |
-
"eval_loss": 0.
|
313 |
-
"eval_rmse": 0.
|
314 |
-
"eval_runtime": 5.
|
315 |
-
"eval_samples_per_second":
|
316 |
-
"eval_steps_per_second": 1.
|
317 |
"step": 658
|
318 |
},
|
319 |
{
|
320 |
"epoch": 14.361702127659575,
|
321 |
-
"grad_norm":
|
322 |
"learning_rate": 1.9202898550724637e-05,
|
323 |
-
"loss": 0.
|
324 |
"step": 675
|
325 |
},
|
326 |
{
|
327 |
"epoch": 14.893617021276595,
|
328 |
-
"grad_norm":
|
329 |
"learning_rate": 1.739130434782609e-05,
|
330 |
-
"loss": 0.
|
331 |
"step": 700
|
332 |
},
|
333 |
{
|
334 |
"epoch": 15.0,
|
335 |
-
"eval_loss": 0.
|
336 |
-
"eval_rmse": 0.
|
337 |
-
"eval_runtime":
|
338 |
-
"eval_samples_per_second":
|
339 |
-
"eval_steps_per_second": 1.
|
340 |
"step": 705
|
341 |
},
|
342 |
{
|
343 |
"epoch": 15.425531914893616,
|
344 |
-
"grad_norm":
|
345 |
"learning_rate": 1.5579710144927537e-05,
|
346 |
-
"loss": 0.
|
347 |
"step": 725
|
348 |
},
|
349 |
{
|
350 |
"epoch": 15.957446808510639,
|
351 |
-
"grad_norm":
|
352 |
"learning_rate": 1.3768115942028985e-05,
|
353 |
-
"loss": 0.
|
354 |
"step": 750
|
355 |
},
|
356 |
{
|
357 |
"epoch": 16.0,
|
358 |
-
"eval_loss": 0.
|
359 |
-
"eval_rmse": 0.
|
360 |
-
"eval_runtime":
|
361 |
-
"eval_samples_per_second":
|
362 |
-
"eval_steps_per_second": 1.
|
363 |
"step": 752
|
364 |
},
|
365 |
{
|
366 |
"epoch": 16.48936170212766,
|
367 |
-
"grad_norm":
|
368 |
"learning_rate": 1.1956521739130435e-05,
|
369 |
-
"loss": 0.
|
370 |
"step": 775
|
371 |
},
|
372 |
{
|
373 |
"epoch": 17.0,
|
374 |
-
"eval_loss": 0.
|
375 |
-
"eval_rmse": 0.
|
376 |
-
"eval_runtime": 4.
|
377 |
-
"eval_samples_per_second":
|
378 |
-
"eval_steps_per_second": 1.
|
379 |
"step": 799
|
380 |
},
|
381 |
{
|
382 |
"epoch": 17.02127659574468,
|
383 |
-
"grad_norm":
|
384 |
"learning_rate": 1.0144927536231885e-05,
|
385 |
-
"loss": 0.
|
386 |
"step": 800
|
387 |
},
|
388 |
{
|
389 |
"epoch": 17.5531914893617,
|
390 |
-
"grad_norm":
|
391 |
"learning_rate": 8.333333333333334e-06,
|
392 |
-
"loss": 0.
|
393 |
"step": 825
|
394 |
},
|
395 |
{
|
396 |
"epoch": 18.0,
|
397 |
-
"eval_loss": 0.
|
398 |
-
"eval_rmse": 0.
|
399 |
-
"eval_runtime":
|
400 |
-
"eval_samples_per_second":
|
401 |
-
"eval_steps_per_second": 1.
|
402 |
"step": 846
|
403 |
},
|
404 |
{
|
405 |
"epoch": 18.085106382978722,
|
406 |
-
"grad_norm":
|
407 |
"learning_rate": 6.521739130434783e-06,
|
408 |
-
"loss": 0.
|
409 |
"step": 850
|
410 |
},
|
411 |
{
|
412 |
"epoch": 18.617021276595743,
|
413 |
-
"grad_norm":
|
414 |
"learning_rate": 4.710144927536232e-06,
|
415 |
-
"loss": 0.
|
416 |
"step": 875
|
417 |
},
|
418 |
{
|
419 |
"epoch": 19.0,
|
420 |
-
"eval_loss": 0.
|
421 |
-
"eval_rmse": 0.
|
422 |
-
"eval_runtime": 4.
|
423 |
-
"eval_samples_per_second":
|
424 |
-
"eval_steps_per_second": 1.
|
425 |
"step": 893
|
426 |
},
|
427 |
{
|
428 |
"epoch": 19.148936170212767,
|
429 |
-
"grad_norm":
|
430 |
"learning_rate": 2.898550724637681e-06,
|
431 |
-
"loss": 0.
|
432 |
"step": 900
|
433 |
},
|
434 |
{
|
435 |
"epoch": 19.680851063829788,
|
436 |
-
"grad_norm":
|
437 |
"learning_rate": 1.0869565217391306e-06,
|
438 |
-
"loss": 0.
|
439 |
"step": 925
|
440 |
},
|
441 |
{
|
442 |
"epoch": 20.0,
|
443 |
-
"eval_loss": 0.
|
444 |
-
"eval_rmse": 0.
|
445 |
-
"eval_runtime": 4.
|
446 |
-
"eval_samples_per_second":
|
447 |
-
"eval_steps_per_second": 1.
|
448 |
"step": 940
|
449 |
},
|
450 |
{
|
451 |
"epoch": 20.0,
|
452 |
"step": 940,
|
453 |
"total_flos": 0.0,
|
454 |
-
"train_loss": 0.
|
455 |
-
"train_runtime":
|
456 |
-
"train_samples_per_second": 33.
|
457 |
-
"train_steps_per_second": 0.
|
458 |
}
|
459 |
],
|
460 |
"logging_steps": 25,
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.012980646453797817,
|
3 |
"best_model_checkpoint": "/mnt/ml_drive/kcardenas/limbxy_ext_crop_hands/checkpoint-940",
|
4 |
"epoch": 20.0,
|
5 |
"eval_steps": 500,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.5319148936170213,
|
13 |
+
"grad_norm": 623358.4375,
|
14 |
"learning_rate": 5e-06,
|
15 |
+
"loss": 0.2234,
|
16 |
"step": 25
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
+
"eval_loss": 0.15381918847560883,
|
21 |
+
"eval_rmse": 0.3922234773635864,
|
22 |
+
"eval_runtime": 5.3503,
|
23 |
+
"eval_samples_per_second": 97.751,
|
24 |
+
"eval_steps_per_second": 1.682,
|
25 |
"step": 47
|
26 |
},
|
27 |
{
|
28 |
"epoch": 1.0638297872340425,
|
29 |
+
"grad_norm": 2976699.0,
|
30 |
"learning_rate": 1e-05,
|
31 |
+
"loss": 0.1582,
|
32 |
"step": 50
|
33 |
},
|
34 |
{
|
35 |
"epoch": 1.5957446808510638,
|
36 |
+
"grad_norm": 3106934.25,
|
37 |
"learning_rate": 1.5e-05,
|
38 |
+
"loss": 0.1462,
|
39 |
"step": 75
|
40 |
},
|
41 |
{
|
42 |
"epoch": 2.0,
|
43 |
+
"eval_loss": 0.07616347819566727,
|
44 |
+
"eval_rmse": 0.2758934795856476,
|
45 |
+
"eval_runtime": 4.8381,
|
46 |
+
"eval_samples_per_second": 108.101,
|
47 |
+
"eval_steps_per_second": 1.86,
|
48 |
"step": 94
|
49 |
},
|
50 |
{
|
51 |
"epoch": 2.127659574468085,
|
52 |
+
"grad_norm": 1030784.1875,
|
53 |
"learning_rate": 2e-05,
|
54 |
+
"loss": 0.0747,
|
55 |
"step": 100
|
56 |
},
|
57 |
{
|
58 |
"epoch": 2.6595744680851063,
|
59 |
+
"grad_norm": 3752779.75,
|
60 |
"learning_rate": 2.5e-05,
|
61 |
+
"loss": 0.0446,
|
62 |
"step": 125
|
63 |
},
|
64 |
{
|
65 |
"epoch": 3.0,
|
66 |
+
"eval_loss": 0.04878520593047142,
|
67 |
+
"eval_rmse": 0.22092542052268982,
|
68 |
+
"eval_runtime": 4.8409,
|
69 |
+
"eval_samples_per_second": 108.038,
|
70 |
+
"eval_steps_per_second": 1.859,
|
71 |
"step": 141
|
72 |
},
|
73 |
{
|
74 |
"epoch": 3.1914893617021276,
|
75 |
+
"grad_norm": 4766084.5,
|
76 |
"learning_rate": 3e-05,
|
77 |
+
"loss": 0.0437,
|
78 |
"step": 150
|
79 |
},
|
80 |
{
|
81 |
"epoch": 3.723404255319149,
|
82 |
+
"grad_norm": 3292715.5,
|
83 |
"learning_rate": 3.5e-05,
|
84 |
+
"loss": 0.0436,
|
85 |
"step": 175
|
86 |
},
|
87 |
{
|
88 |
"epoch": 4.0,
|
89 |
+
"eval_loss": 0.017620466649532318,
|
90 |
+
"eval_rmse": 0.13286800682544708,
|
91 |
+
"eval_runtime": 4.9214,
|
92 |
+
"eval_samples_per_second": 106.271,
|
93 |
+
"eval_steps_per_second": 1.829,
|
94 |
"step": 188
|
95 |
},
|
96 |
{
|
97 |
"epoch": 4.25531914893617,
|
98 |
+
"grad_norm": 2775416.75,
|
99 |
"learning_rate": 4e-05,
|
100 |
+
"loss": 0.0285,
|
101 |
"step": 200
|
102 |
},
|
103 |
{
|
104 |
"epoch": 4.787234042553192,
|
105 |
+
"grad_norm": 379769.03125,
|
106 |
"learning_rate": 4.5e-05,
|
107 |
+
"loss": 0.0326,
|
108 |
"step": 225
|
109 |
},
|
110 |
{
|
111 |
"epoch": 5.0,
|
112 |
+
"eval_loss": 0.03224412351846695,
|
113 |
+
"eval_rmse": 0.1795557141304016,
|
114 |
+
"eval_runtime": 4.8651,
|
115 |
+
"eval_samples_per_second": 107.5,
|
116 |
+
"eval_steps_per_second": 1.85,
|
117 |
"step": 235
|
118 |
},
|
119 |
{
|
120 |
"epoch": 5.319148936170213,
|
121 |
+
"grad_norm": 1152975.25,
|
122 |
"learning_rate": 5e-05,
|
123 |
+
"loss": 0.0314,
|
124 |
"step": 250
|
125 |
},
|
126 |
{
|
127 |
"epoch": 5.851063829787234,
|
128 |
+
"grad_norm": 2960943.0,
|
129 |
"learning_rate": 4.818840579710145e-05,
|
130 |
+
"loss": 0.0212,
|
131 |
"step": 275
|
132 |
},
|
133 |
{
|
134 |
"epoch": 6.0,
|
135 |
+
"eval_loss": 0.01861540600657463,
|
136 |
+
"eval_rmse": 0.13647863268852234,
|
137 |
+
"eval_runtime": 5.0083,
|
138 |
+
"eval_samples_per_second": 104.427,
|
139 |
+
"eval_steps_per_second": 1.797,
|
140 |
"step": 282
|
141 |
},
|
142 |
{
|
143 |
"epoch": 6.382978723404255,
|
144 |
+
"grad_norm": 1633797.25,
|
145 |
"learning_rate": 4.63768115942029e-05,
|
146 |
+
"loss": 0.0211,
|
147 |
"step": 300
|
148 |
},
|
149 |
{
|
150 |
"epoch": 6.914893617021277,
|
151 |
+
"grad_norm": 4293457.5,
|
152 |
"learning_rate": 4.456521739130435e-05,
|
153 |
+
"loss": 0.0334,
|
154 |
"step": 325
|
155 |
},
|
156 |
{
|
157 |
"epoch": 7.0,
|
158 |
+
"eval_loss": 0.030206123366951942,
|
159 |
+
"eval_rmse": 0.1739334762096405,
|
160 |
+
"eval_runtime": 4.8758,
|
161 |
+
"eval_samples_per_second": 107.264,
|
162 |
+
"eval_steps_per_second": 1.846,
|
163 |
"step": 329
|
164 |
},
|
165 |
{
|
166 |
"epoch": 7.446808510638298,
|
167 |
+
"grad_norm": 4272689.0,
|
168 |
"learning_rate": 4.27536231884058e-05,
|
169 |
+
"loss": 0.027,
|
170 |
"step": 350
|
171 |
},
|
172 |
{
|
173 |
"epoch": 7.9787234042553195,
|
174 |
+
"grad_norm": 1988792.5,
|
175 |
"learning_rate": 4.094202898550725e-05,
|
176 |
+
"loss": 0.0247,
|
177 |
"step": 375
|
178 |
},
|
179 |
{
|
180 |
"epoch": 8.0,
|
181 |
+
"eval_loss": 0.03623066842556,
|
182 |
+
"eval_rmse": 0.19043287634849548,
|
183 |
+
"eval_runtime": 5.0165,
|
184 |
+
"eval_samples_per_second": 104.256,
|
185 |
+
"eval_steps_per_second": 1.794,
|
186 |
"step": 376
|
187 |
},
|
188 |
{
|
189 |
"epoch": 8.51063829787234,
|
190 |
+
"grad_norm": 1632416.25,
|
191 |
"learning_rate": 3.91304347826087e-05,
|
192 |
+
"loss": 0.0238,
|
193 |
"step": 400
|
194 |
},
|
195 |
{
|
196 |
"epoch": 9.0,
|
197 |
+
"eval_loss": 0.015264267101883888,
|
198 |
+
"eval_rmse": 0.12361017614603043,
|
199 |
+
"eval_runtime": 4.9733,
|
200 |
+
"eval_samples_per_second": 105.161,
|
201 |
+
"eval_steps_per_second": 1.81,
|
202 |
"step": 423
|
203 |
},
|
204 |
{
|
205 |
"epoch": 9.042553191489361,
|
206 |
+
"grad_norm": 1837231.75,
|
207 |
"learning_rate": 3.7318840579710144e-05,
|
208 |
+
"loss": 0.0182,
|
209 |
"step": 425
|
210 |
},
|
211 |
{
|
212 |
"epoch": 9.574468085106384,
|
213 |
+
"grad_norm": 3900810.5,
|
214 |
"learning_rate": 3.5507246376811596e-05,
|
215 |
+
"loss": 0.0342,
|
216 |
"step": 450
|
217 |
},
|
218 |
{
|
219 |
"epoch": 10.0,
|
220 |
+
"eval_loss": 0.015248410403728485,
|
221 |
+
"eval_rmse": 0.1235644593834877,
|
222 |
+
"eval_runtime": 4.9635,
|
223 |
+
"eval_samples_per_second": 105.368,
|
224 |
+
"eval_steps_per_second": 1.813,
|
225 |
"step": 470
|
226 |
},
|
227 |
{
|
228 |
"epoch": 10.106382978723405,
|
229 |
+
"grad_norm": 2050042.25,
|
230 |
"learning_rate": 3.369565217391305e-05,
|
231 |
+
"loss": 0.0186,
|
232 |
"step": 475
|
233 |
},
|
234 |
{
|
235 |
"epoch": 10.638297872340425,
|
236 |
+
"grad_norm": 3730581.0,
|
237 |
"learning_rate": 3.188405797101449e-05,
|
238 |
+
"loss": 0.0188,
|
239 |
"step": 500
|
240 |
},
|
241 |
{
|
242 |
"epoch": 11.0,
|
243 |
+
"eval_loss": 0.01616613008081913,
|
244 |
+
"eval_rmse": 0.12722349166870117,
|
245 |
+
"eval_runtime": 4.9524,
|
246 |
+
"eval_samples_per_second": 105.606,
|
247 |
+
"eval_steps_per_second": 1.817,
|
248 |
"step": 517
|
249 |
},
|
250 |
{
|
251 |
"epoch": 11.170212765957446,
|
252 |
+
"grad_norm": 865433.75,
|
253 |
"learning_rate": 3.0072463768115944e-05,
|
254 |
+
"loss": 0.0163,
|
255 |
"step": 525
|
256 |
},
|
257 |
{
|
258 |
"epoch": 11.702127659574469,
|
259 |
+
"grad_norm": 658995.6875,
|
260 |
"learning_rate": 2.826086956521739e-05,
|
261 |
+
"loss": 0.0165,
|
262 |
"step": 550
|
263 |
},
|
264 |
{
|
265 |
"epoch": 12.0,
|
266 |
+
"eval_loss": 0.022758642211556435,
|
267 |
+
"eval_rmse": 0.15094806253910065,
|
268 |
+
"eval_runtime": 4.8205,
|
269 |
+
"eval_samples_per_second": 108.496,
|
270 |
+
"eval_steps_per_second": 1.867,
|
271 |
"step": 564
|
272 |
},
|
273 |
{
|
274 |
"epoch": 12.23404255319149,
|
275 |
+
"grad_norm": 2234811.25,
|
276 |
"learning_rate": 2.6449275362318844e-05,
|
277 |
+
"loss": 0.0179,
|
278 |
"step": 575
|
279 |
},
|
280 |
{
|
281 |
"epoch": 12.76595744680851,
|
282 |
+
"grad_norm": 1162747.5,
|
283 |
"learning_rate": 2.4637681159420292e-05,
|
284 |
+
"loss": 0.0163,
|
285 |
"step": 600
|
286 |
},
|
287 |
{
|
288 |
"epoch": 13.0,
|
289 |
+
"eval_loss": 0.014487933367490768,
|
290 |
+
"eval_rmse": 0.12045549601316452,
|
291 |
+
"eval_runtime": 5.0569,
|
292 |
+
"eval_samples_per_second": 103.423,
|
293 |
+
"eval_steps_per_second": 1.78,
|
294 |
"step": 611
|
295 |
},
|
296 |
{
|
297 |
"epoch": 13.297872340425531,
|
298 |
+
"grad_norm": 4238076.0,
|
299 |
"learning_rate": 2.282608695652174e-05,
|
300 |
+
"loss": 0.0176,
|
301 |
"step": 625
|
302 |
},
|
303 |
{
|
304 |
"epoch": 13.829787234042554,
|
305 |
+
"grad_norm": 172452.703125,
|
306 |
"learning_rate": 2.101449275362319e-05,
|
307 |
+
"loss": 0.0154,
|
308 |
"step": 650
|
309 |
},
|
310 |
{
|
311 |
"epoch": 14.0,
|
312 |
+
"eval_loss": 0.013961490243673325,
|
313 |
+
"eval_rmse": 0.11822474002838135,
|
314 |
+
"eval_runtime": 5.1475,
|
315 |
+
"eval_samples_per_second": 101.603,
|
316 |
+
"eval_steps_per_second": 1.748,
|
317 |
"step": 658
|
318 |
},
|
319 |
{
|
320 |
"epoch": 14.361702127659575,
|
321 |
+
"grad_norm": 1203963.375,
|
322 |
"learning_rate": 1.9202898550724637e-05,
|
323 |
+
"loss": 0.0154,
|
324 |
"step": 675
|
325 |
},
|
326 |
{
|
327 |
"epoch": 14.893617021276595,
|
328 |
+
"grad_norm": 1234547.5,
|
329 |
"learning_rate": 1.739130434782609e-05,
|
330 |
+
"loss": 0.0168,
|
331 |
"step": 700
|
332 |
},
|
333 |
{
|
334 |
"epoch": 15.0,
|
335 |
+
"eval_loss": 0.014746125787496567,
|
336 |
+
"eval_rmse": 0.12149151414632797,
|
337 |
+
"eval_runtime": 4.9322,
|
338 |
+
"eval_samples_per_second": 106.038,
|
339 |
+
"eval_steps_per_second": 1.825,
|
340 |
"step": 705
|
341 |
},
|
342 |
{
|
343 |
"epoch": 15.425531914893616,
|
344 |
+
"grad_norm": 878691.75,
|
345 |
"learning_rate": 1.5579710144927537e-05,
|
346 |
+
"loss": 0.0154,
|
347 |
"step": 725
|
348 |
},
|
349 |
{
|
350 |
"epoch": 15.957446808510639,
|
351 |
+
"grad_norm": 2425489.25,
|
352 |
"learning_rate": 1.3768115942028985e-05,
|
353 |
+
"loss": 0.0156,
|
354 |
"step": 750
|
355 |
},
|
356 |
{
|
357 |
"epoch": 16.0,
|
358 |
+
"eval_loss": 0.014588478021323681,
|
359 |
+
"eval_rmse": 0.12084110826253891,
|
360 |
+
"eval_runtime": 5.2911,
|
361 |
+
"eval_samples_per_second": 98.846,
|
362 |
+
"eval_steps_per_second": 1.701,
|
363 |
"step": 752
|
364 |
},
|
365 |
{
|
366 |
"epoch": 16.48936170212766,
|
367 |
+
"grad_norm": 497963.0,
|
368 |
"learning_rate": 1.1956521739130435e-05,
|
369 |
+
"loss": 0.0159,
|
370 |
"step": 775
|
371 |
},
|
372 |
{
|
373 |
"epoch": 17.0,
|
374 |
+
"eval_loss": 0.015692666172981262,
|
375 |
+
"eval_rmse": 0.12533892691135406,
|
376 |
+
"eval_runtime": 4.7367,
|
377 |
+
"eval_samples_per_second": 110.415,
|
378 |
+
"eval_steps_per_second": 1.9,
|
379 |
"step": 799
|
380 |
},
|
381 |
{
|
382 |
"epoch": 17.02127659574468,
|
383 |
+
"grad_norm": 1821127.75,
|
384 |
"learning_rate": 1.0144927536231885e-05,
|
385 |
+
"loss": 0.0149,
|
386 |
"step": 800
|
387 |
},
|
388 |
{
|
389 |
"epoch": 17.5531914893617,
|
390 |
+
"grad_norm": 772281.125,
|
391 |
"learning_rate": 8.333333333333334e-06,
|
392 |
+
"loss": 0.0145,
|
393 |
"step": 825
|
394 |
},
|
395 |
{
|
396 |
"epoch": 18.0,
|
397 |
+
"eval_loss": 0.014158854261040688,
|
398 |
+
"eval_rmse": 0.11905129253864288,
|
399 |
+
"eval_runtime": 4.935,
|
400 |
+
"eval_samples_per_second": 105.978,
|
401 |
+
"eval_steps_per_second": 1.824,
|
402 |
"step": 846
|
403 |
},
|
404 |
{
|
405 |
"epoch": 18.085106382978722,
|
406 |
+
"grad_norm": 480387.40625,
|
407 |
"learning_rate": 6.521739130434783e-06,
|
408 |
+
"loss": 0.0133,
|
409 |
"step": 850
|
410 |
},
|
411 |
{
|
412 |
"epoch": 18.617021276595743,
|
413 |
+
"grad_norm": 622875.125,
|
414 |
"learning_rate": 4.710144927536232e-06,
|
415 |
+
"loss": 0.0133,
|
416 |
"step": 875
|
417 |
},
|
418 |
{
|
419 |
"epoch": 19.0,
|
420 |
+
"eval_loss": 0.013214284554123878,
|
421 |
+
"eval_rmse": 0.11501393467187881,
|
422 |
+
"eval_runtime": 4.9198,
|
423 |
+
"eval_samples_per_second": 106.304,
|
424 |
+
"eval_steps_per_second": 1.829,
|
425 |
"step": 893
|
426 |
},
|
427 |
{
|
428 |
"epoch": 19.148936170212767,
|
429 |
+
"grad_norm": 335946.59375,
|
430 |
"learning_rate": 2.898550724637681e-06,
|
431 |
+
"loss": 0.0133,
|
432 |
"step": 900
|
433 |
},
|
434 |
{
|
435 |
"epoch": 19.680851063829788,
|
436 |
+
"grad_norm": 479721.125,
|
437 |
"learning_rate": 1.0869565217391306e-06,
|
438 |
+
"loss": 0.0127,
|
439 |
"step": 925
|
440 |
},
|
441 |
{
|
442 |
"epoch": 20.0,
|
443 |
+
"eval_loss": 0.012980646453797817,
|
444 |
+
"eval_rmse": 0.11399345099925995,
|
445 |
+
"eval_runtime": 4.9566,
|
446 |
+
"eval_samples_per_second": 105.517,
|
447 |
+
"eval_steps_per_second": 1.816,
|
448 |
"step": 940
|
449 |
},
|
450 |
{
|
451 |
"epoch": 20.0,
|
452 |
"step": 940,
|
453 |
"total_flos": 0.0,
|
454 |
+
"train_loss": 0.03554724605476602,
|
455 |
+
"train_runtime": 1780.6867,
|
456 |
+
"train_samples_per_second": 33.279,
|
457 |
+
"train_steps_per_second": 0.528
|
458 |
}
|
459 |
],
|
460 |
"logging_steps": 25,
|