End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"eval_cer": 0.3173159976360413,
|
4 |
+
"eval_loss": 0.8089390397071838,
|
5 |
+
"eval_runtime": 116.9576,
|
6 |
+
"eval_samples": 2302,
|
7 |
+
"eval_samples_per_second": 19.682,
|
8 |
+
"eval_steps_per_second": 2.462,
|
9 |
+
"eval_wer": 1.2498917280207882,
|
10 |
+
"train_loss": 3.7852419735087786,
|
11 |
+
"train_runtime": 72640.1075,
|
12 |
+
"train_samples": 11949,
|
13 |
+
"train_samples_per_second": 16.45,
|
14 |
+
"train_steps_per_second": 0.513
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"eval_cer": 0.3173159976360413,
|
4 |
+
"eval_loss": 0.8089390397071838,
|
5 |
+
"eval_runtime": 116.9576,
|
6 |
+
"eval_samples": 2302,
|
7 |
+
"eval_samples_per_second": 19.682,
|
8 |
+
"eval_steps_per_second": 2.462,
|
9 |
+
"eval_wer": 1.2498917280207882
|
10 |
+
}
|
nohup.out
CHANGED
@@ -23239,3 +23239,26 @@ Configuration saved in ./preprocessor_config.json
|
|
23239 |
|
23240 |
Dropping the following result as it does not have all the necessary fields:
|
23241 |
{'dataset': {'name': 'common_voice', 'type': 'common_voice', 'args': 'zh-HK'}}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
23242 |
0%| | 0/288 [00:00<?, ?it/s]
|
23243 |
1%| | 2/288 [00:00<00:40, 7.05it/s]
|
23244 |
1%| | 3/288 [00:00<01:04, 4.42it/s]
|
23245 |
1%|▏ | 4/288 [00:00<01:14, 3.84it/s]
|
23246 |
2%|▏ | 5/288 [00:01<01:12, 3.88it/s]
|
23247 |
2%|▏ | 6/288 [00:01<01:15, 3.74it/s]
|
23248 |
2%|▏ | 7/288 [00:01<01:18, 3.58it/s]
|
23249 |
3%|▎ | 8/288 [00:02<01:15, 3.72it/s]
|
23250 |
3%|▎ | 9/288 [00:02<01:19, 3.53it/s]
|
23251 |
3%|▎ | 10/288 [00:02<01:26, 3.20it/s]
|
23252 |
4%|▍ | 11/288 [00:03<01:28, 3.12it/s]
|
23253 |
4%|▍ | 12/288 [00:03<01:23, 3.29it/s]
|
23254 |
5%|▍ | 13/288 [00:03<01:25, 3.21it/s]
|
23255 |
5%|▍ | 14/288 [00:03<01:24, 3.26it/s]
|
23256 |
5%|▌ | 15/288 [00:04<01:20, 3.38it/s]
|
23257 |
6%|▌ | 16/288 [00:04<01:23, 3.24it/s]
|
23258 |
6%|▌ | 17/288 [00:04<01:21, 3.33it/s]
|
23259 |
6%|▋ | 18/288 [00:05<01:23, 3.23it/s]
|
23260 |
7%|▋ | 19/288 [00:05<01:25, 3.16it/s]
|
23261 |
7%|▋ | 20/288 [00:05<01:22, 3.25it/s]
|
23262 |
7%|▋ | 21/288 [00:06<01:21, 3.28it/s]
|
23263 |
8%|▊ | 22/288 [00:06<01:18, 3.38it/s]
|
23264 |
8%|▊ | 23/288 [00:06<01:19, 3.34it/s]
|
23265 |
8%|▊ | 24/288 [00:06<01:20, 3.29it/s]
|
23266 |
9%|▊ | 25/288 [00:07<01:18, 3.34it/s]
|
23267 |
9%|▉ | 26/288 [00:07<01:21, 3.20it/s]
|
23268 |
9%|▉ | 27/288 [00:07<01:21, 3.21it/s]
|
23269 |
10%|▉ | 28/288 [00:08<01:18, 3.33it/s]
|
23270 |
10%|█ | 29/288 [00:08<01:14, 3.50it/s]
|
23271 |
10%|█ | 30/288 [00:08<01:07, 3.85it/s]
|
23272 |
11%|█ | 31/288 [00:08<01:05, 3.90it/s]
|
23273 |
11%|█ | 32/288 [00:09<01:08, 3.76it/s]
|
23274 |
11%|█▏ | 33/288 [00:09<01:06, 3.86it/s]
|
23275 |
12%|█▏ | 34/288 [00:09<01:06, 3.80it/s]
|
23276 |
12%|█▏ | 35/288 [00:10<01:08, 3.69it/s]
|
23277 |
12%|█▎ | 36/288 [00:10<01:09, 3.63it/s]
|
23278 |
13%|█▎ | 37/288 [00:10<01:08, 3.64it/s]
|
23279 |
13%|█▎ | 38/288 [00:10<01:08, 3.66it/s]
|
23280 |
14%|█▎ | 39/288 [00:11<01:09, 3.59it/s]
|
23281 |
14%|█▍ | 40/288 [00:11<01:11, 3.49it/s]
|
23282 |
14%|█▍ | 41/288 [00:11<01:09, 3.56it/s]
|
23283 |
15%|█▍ | 42/288 [00:12<01:11, 3.43it/s]
|
23284 |
15%|█▍ | 43/288 [00:12<01:13, 3.34it/s]
|
23285 |
15%|█▌ | 44/288 [00:12<01:12, 3.36it/s]
|
23286 |
16%|█▌ | 45/288 [00:12<01:12, 3.35it/s]
|
23287 |
16%|█▌ | 46/288 [00:13<01:10, 3.43it/s]
|
23288 |
16%|█▋ | 47/288 [00:13<01:12, 3.34it/s]
|
23289 |
17%|█▋ | 48/288 [00:13<01:15, 3.16it/s]
|
23290 |
17%|█▋ | 49/288 [00:14<01:13, 3.26it/s]
|
23291 |
17%|█▋ | 50/288 [00:14<01:11, 3.34it/s]
|
23292 |
18%|█▊ | 51/288 [00:14<01:09, 3.40it/s]
|
23293 |
18%|█▊ | 52/288 [00:15<01:10, 3.35it/s]
|
23294 |
18%|█▊ | 53/288 [00:15<01:10, 3.33it/s]
|
23295 |
19%|█▉ | 54/288 [00:15<01:09, 3.37it/s]
|
23296 |
19%|█▉ | 55/288 [00:15<01:11, 3.26it/s]
|
23297 |
19%|█▉ | 56/288 [00:16<01:09, 3.34it/s]
|
23298 |
20%|█▉ | 57/288 [00:16<01:08, 3.39it/s]
|
23299 |
20%|██ | 58/288 [00:16<01:05, 3.49it/s]
|
23300 |
20%|██ | 59/288 [00:17<01:04, 3.58it/s]
|
23301 |
21%|██ | 60/288 [00:17<01:00, 3.74it/s]
|
23302 |
21%|██ | 61/288 [00:17<01:05, 3.46it/s]
|
23303 |
22%|██▏ | 62/288 [00:17<01:06, 3.39it/s]
|
23304 |
22%|██▏ | 63/288 [00:18<01:07, 3.31it/s]
|
23305 |
22%|██▏ | 64/288 [00:18<01:06, 3.39it/s]
|
23306 |
23%|██▎ | 65/288 [00:18<01:08, 3.27it/s]
|
23307 |
23%|██▎ | 66/288 [00:19<01:09, 3.17it/s]
|
23308 |
23%|██▎ | 67/288 [00:19<01:07, 3.27it/s]
|
23309 |
24%|██▎ | 68/288 [00:19<01:09, 3.18it/s]
|
23310 |
24%|██▍ | 69/288 [00:20<01:10, 3.13it/s]
|
23311 |
24%|██▍ | 70/288 [00:20<01:09, 3.16it/s]
|
23312 |
25%|██▍ | 71/288 [00:20<01:11, 3.03it/s]
|
23313 |
25%|██▌ | 72/288 [00:21<01:09, 3.11it/s]
|
23314 |
25%|██▌ | 73/288 [00:21<01:08, 3.15it/s]
|
23315 |
26%|██▌ | 74/288 [00:21<01:09, 3.07it/s]
|
23316 |
26%|██▌ | 75/288 [00:22<01:10, 3.00it/s]
|
23317 |
26%|██▋ | 76/288 [00:22<01:08, 3.08it/s]
|
23318 |
27%|██▋ | 77/288 [00:22<01:09, 3.06it/s]
|
23319 |
27%|██▋ | 78/288 [00:23<01:08, 3.09it/s]
|
23320 |
27%|██▋ | 79/288 [00:23<01:06, 3.14it/s]
|
23321 |
28%|██▊ | 80/288 [00:23<01:04, 3.24it/s]
|
23322 |
28%|██▊ | 81/288 [00:24<01:05, 3.18it/s]
|
23323 |
28%|██▊ | 82/288 [00:24<01:03, 3.26it/s]
|
23324 |
29%|██▉ | 83/288 [00:24<01:04, 3.17it/s]
|
23325 |
29%|██▉ | 84/288 [00:24<01:00, 3.38it/s]
|
23326 |
30%|██▉ | 85/288 [00:25<00:58, 3.45it/s]
|
23327 |
30%|██▉ | 86/288 [00:25<01:02, 3.23it/s]
|
23328 |
30%|███ | 87/288 [00:25<01:02, 3.21it/s]
|
23329 |
31%|███ | 88/288 [00:26<01:02, 3.18it/s]
|
23330 |
31%|███ | 89/288 [00:26<01:01, 3.24it/s]
|
23331 |
31%|███▏ | 90/288 [00:26<01:00, 3.29it/s]
|
23332 |
32%|███▏ | 91/288 [00:27<01:01, 3.22it/s]
|
23333 |
32%|███▏ | 92/288 [00:27<00:59, 3.28it/s]
|
23334 |
32%|███▏ | 93/288 [00:27<01:01, 3.15it/s]
|
23335 |
33%|███▎ | 94/288 [00:28<01:01, 3.18it/s]
|
23336 |
33%|███▎ | 95/288 [00:28<01:00, 3.21it/s]
|
23337 |
33%|███▎ | 96/288 [00:28<00:57, 3.35it/s]
|
23338 |
34%|███▎ | 97/288 [00:28<00:55, 3.41it/s]
|
23339 |
34%|███▍ | 98/288 [00:29<00:57, 3.29it/s]
|
23340 |
34%|███▍ | 99/288 [00:29<00:59, 3.16it/s]
|
23341 |
35%|███▍ | 100/288 [00:29<00:58, 3.21it/s]
|
23342 |
35%|███▌ | 101/288 [00:30<00:57, 3.26it/s]
|
23343 |
35%|███▌ | 102/288 [00:30<00:55, 3.35it/s]
|
23344 |
36%|███▌ | 103/288 [00:30<00:55, 3.34it/s]
|
23345 |
36%|███▌ | 104/288 [00:31<00:56, 3.24it/s]
|
23346 |
36%|███▋ | 105/288 [00:31<00:53, 3.40it/s]
|
23347 |
37%|███▋ | 106/288 [00:31<00:56, 3.24it/s]
|
23348 |
37%|███▋ | 107/288 [00:31<00:56, 3.19it/s]
|
23349 |
38%|███▊ | 108/288 [00:32<00:56, 3.18it/s]
|
23350 |
38%|███▊ | 109/288 [00:32<00:56, 3.15it/s]
|
23351 |
38%|███▊ | 110/288 [00:32<00:55, 3.20it/s]
|
23352 |
39%|███▊ | 111/288 [00:33<00:54, 3.22it/s]
|
23353 |
39%|███▉ | 112/288 [00:33<00:55, 3.17it/s]
|
23354 |
39%|███▉ | 113/288 [00:33<00:55, 3.16it/s]
|
23355 |
40%|███▉ | 114/288 [00:34<00:55, 3.14it/s]
|
23356 |
40%|███▉ | 115/288 [00:34<00:54, 3.19it/s]
|
23357 |
40%|████ | 116/288 [00:34<00:54, 3.14it/s]
|
23358 |
41%|████ | 117/288 [00:35<00:54, 3.16it/s]
|
23359 |
41%|████ | 118/288 [00:35<00:51, 3.33it/s]
|
23360 |
41%|████▏ | 119/288 [00:35<00:52, 3.23it/s]
|
23361 |
42%|████▏ | 120/288 [00:36<00:53, 3.16it/s]
|
23362 |
42%|████▏ | 121/288 [00:36<00:51, 3.26it/s]
|
23363 |
42%|████▏ | 122/288 [00:36<00:48, 3.41it/s]
|
23364 |
43%|████▎ | 123/288 [00:36<00:51, 3.17it/s]
|
23365 |
43%|████▎ | 124/288 [00:37<00:51, 3.18it/s]
|
23366 |
43%|████▎ | 125/288 [00:37<00:51, 3.17it/s]
|
23367 |
44%|████▍ | 126/288 [00:37<00:52, 3.06it/s]
|
23368 |
44%|████▍ | 127/288 [00:38<00:51, 3.13it/s]
|
23369 |
44%|████▍ | 128/288 [00:38<00:50, 3.14it/s]
|
23370 |
45%|████▍ | 129/288 [00:38<00:52, 3.00it/s]
|
23371 |
45%|████▌ | 130/288 [00:39<00:52, 3.03it/s]
|
23372 |
45%|████▌ | 131/288 [00:39<00:50, 3.09it/s]
|
23373 |
46%|████▌ | 132/288 [00:39<00:50, 3.08it/s]
|
23374 |
46%|████▌ | 133/288 [00:40<00:52, 2.97it/s]
|
23375 |
47%|████▋ | 134/288 [00:40<00:51, 2.96it/s]
|
23376 |
47%|████▋ | 135/288 [00:40<00:51, 2.99it/s]
|
23377 |
47%|████▋ | 136/288 [00:41<00:49, 3.06it/s]
|
23378 |
48%|████▊ | 137/288 [00:41<00:48, 3.09it/s]
|
23379 |
48%|████▊ | 138/288 [00:41<00:49, 3.05it/s]
|
23380 |
48%|████▊ | 139/288 [00:42<00:49, 3.01it/s]
|
23381 |
49%|████▊ | 140/288 [00:42<00:49, 3.01it/s]
|
23382 |
49%|████▉ | 141/288 [00:42<00:50, 2.94it/s]
|
23383 |
49%|████▉ | 142/288 [00:43<00:48, 3.03it/s]
|
23384 |
50%|████▉ | 143/288 [00:43<00:48, 2.99it/s]
|
23385 |
50%|█████ | 144/288 [00:43<00:44, 3.27it/s]
|
23386 |
50%|█████ | 145/288 [00:44<00:43, 3.26it/s]
|
23387 |
51%|█████ | 146/288 [00:44<00:42, 3.31it/s]
|
23388 |
51%|█████ | 147/288 [00:44<00:43, 3.27it/s]
|
23389 |
51%|█████▏ | 148/288 [00:45<00:44, 3.17it/s]
|
23390 |
52%|█████▏ | 149/288 [00:45<00:43, 3.18it/s]
|
23391 |
52%|█████▏ | 150/288 [00:45<00:44, 3.11it/s]
|
23392 |
52%|█████▏ | 151/288 [00:45<00:42, 3.24it/s]
|
23393 |
53%|█████▎ | 152/288 [00:46<00:42, 3.21it/s]
|
23394 |
53%|█████▎ | 153/288 [00:46<00:40, 3.30it/s]
|
23395 |
53%|█████▎ | 154/288 [00:46<00:42, 3.13it/s]
|
23396 |
54%|█████▍ | 155/288 [00:47<00:42, 3.12it/s]
|
23397 |
54%|█████▍ | 156/288 [00:47<00:41, 3.16it/s]
|
23398 |
55%|█████▍ | 157/288 [00:47<00:41, 3.14it/s]
|
23399 |
55%|█████▍ | 158/288 [00:48<00:41, 3.11it/s]
|
23400 |
55%|█████▌ | 159/288 [00:48<00:41, 3.12it/s]
|
23401 |
56%|█████▌ | 160/288 [00:48<00:39, 3.20it/s]
|
23402 |
56%|█████▌ | 161/288 [00:49<00:38, 3.29it/s]
|
23403 |
56%|█████▋ | 162/288 [00:49<00:37, 3.36it/s]
|
23404 |
57%|█████▋ | 163/288 [00:49<00:38, 3.26it/s]
|
23405 |
57%|█████▋ | 164/288 [00:50<00:37, 3.32it/s]
|
23406 |
57%|█████▋ | 165/288 [00:50<00:37, 3.29it/s]
|
23407 |
58%|█████▊ | 166/288 [00:50<00:37, 3.24it/s]
|
23408 |
58%|█████▊ | 167/288 [00:50<00:37, 3.27it/s]
|
23409 |
58%|█████▊ | 168/288 [00:51<00:38, 3.15it/s]
|
23410 |
59%|█████▊ | 169/288 [00:51<00:37, 3.18it/s]
|
23411 |
59%|█████▉ | 170/288 [00:51<00:37, 3.16it/s]
|
23412 |
59%|█████▉ | 171/288 [00:52<00:37, 3.14it/s]
|
23413 |
60%|█████▉ | 172/288 [00:52<00:37, 3.12it/s]
|
23414 |
60%|██████ | 173/288 [00:52<00:37, 3.06it/s]
|
23415 |
60%|██████ | 174/288 [00:53<00:36, 3.09it/s]
|
23416 |
61%|██████ | 175/288 [00:53<00:35, 3.20it/s]
|
23417 |
61%|██████ | 176/288 [00:53<00:37, 2.99it/s]
|
23418 |
61%|██████▏ | 177/288 [00:54<00:36, 3.01it/s]
|
23419 |
62%|██████▏ | 178/288 [00:54<00:36, 2.99it/s]
|
23420 |
62%|██████▏ | 179/288 [00:54<00:35, 3.05it/s]
|
23421 |
62%|██████▎ | 180/288 [00:55<00:35, 3.07it/s]
|
23422 |
63%|██████▎ | 181/288 [00:55<00:33, 3.24it/s]
|
23423 |
63%|██████▎ | 182/288 [00:55<00:34, 3.12it/s]
|
23424 |
64%|██████▎ | 183/288 [00:56<00:33, 3.14it/s]
|
23425 |
64%|██████▍ | 184/288 [00:56<00:33, 3.11it/s]
|
23426 |
64%|██████▍ | 185/288 [00:56<00:32, 3.15it/s]
|
23427 |
65%|██████▍ | 186/288 [00:57<00:30, 3.33it/s]
|
23428 |
65%|██████▍ | 187/288 [00:57<00:32, 3.10it/s]
|
23429 |
65%|██████▌ | 188/288 [00:57<00:32, 3.12it/s]
|
23430 |
66%|██████▌ | 189/288 [00:58<00:30, 3.22it/s]
|
23431 |
66%|██████▌ | 190/288 [00:58<00:31, 3.08it/s]
|
23432 |
66%|██████▋ | 191/288 [00:58<00:31, 3.10it/s]
|
23433 |
67%|██████▋ | 192/288 [00:58<00:30, 3.19it/s]
|
23434 |
67%|██████▋ | 193/288 [00:59<00:29, 3.21it/s]
|
23435 |
67%|██████▋ | 194/288 [00:59<00:31, 3.03it/s]
|
23436 |
68%|██████▊ | 195/288 [00:59<00:30, 3.07it/s]
|
23437 |
68%|██████▊ | 196/288 [01:00<00:30, 2.97it/s]
|
23438 |
68%|██████▊ | 197/288 [01:00<00:30, 2.98it/s]
|
23439 |
69%|██████▉ | 198/288 [01:00<00:28, 3.15it/s]
|
23440 |
69%|██████▉ | 199/288 [01:01<00:28, 3.13it/s]
|
23441 |
69%|██████▉ | 200/288 [01:01<00:26, 3.27it/s]
|
23442 |
70%|██████▉ | 201/288 [01:01<00:27, 3.17it/s]
|
23443 |
70%|███████ | 202/288 [01:02<00:27, 3.16it/s]
|
23444 |
70%|███████ | 203/288 [01:02<00:27, 3.15it/s]
|
23445 |
71%|███████ | 204/288 [01:02<00:26, 3.12it/s]
|
23446 |
71%|███████ | 205/288 [01:03<00:25, 3.21it/s]
|
23447 |
72%|███████▏ | 206/288 [01:03<00:26, 3.12it/s]
|
23448 |
72%|███████▏ | 207/288 [01:03<00:26, 3.03it/s]
|
23449 |
72%|███████▏ | 208/288 [01:04<00:26, 2.98it/s]
|
23450 |
73%|███████▎ | 209/288 [01:04<00:26, 2.94it/s]
|
23451 |
73%|███████▎ | 210/288 [01:04<00:24, 3.17it/s]
|
23452 |
73%|███████▎ | 211/288 [01:05<00:23, 3.24it/s]
|
23453 |
74%|███████▎ | 212/288 [01:05<00:22, 3.32it/s]
|
23454 |
74%|███████▍ | 213/288 [01:05<00:24, 3.08it/s]
|
23455 |
74%|███████▍ | 214/288 [01:06<00:23, 3.15it/s]
|
23456 |
75%|███████▍ | 215/288 [01:06<00:23, 3.06it/s]
|
23457 |
75%|███████▌ | 216/288 [01:06<00:23, 3.03it/s]
|
23458 |
75%|███████▌ | 217/288 [01:07<00:22, 3.15it/s]
|
23459 |
76%|███████▌ | 218/288 [01:07<00:22, 3.11it/s]
|
23460 |
76%|███████▌ | 219/288 [01:07<00:22, 3.11it/s]
|
23461 |
76%|███████▋ | 220/288 [01:08<00:23, 2.94it/s]
|
23462 |
77%|███████▋ | 221/288 [01:08<00:22, 2.97it/s]
|
23463 |
77%|███████▋ | 222/288 [01:08<00:22, 2.92it/s]
|
23464 |
77%|███████▋ | 223/288 [01:09<00:20, 3.11it/s]
|
23465 |
78%|███████▊ | 224/288 [01:09<00:20, 3.07it/s]
|
23466 |
78%|███████▊ | 225/288 [01:09<00:20, 3.10it/s]
|
23467 |
78%|███████▊ | 226/288 [01:09<00:19, 3.13it/s]
|
23468 |
79%|███████▉ | 227/288 [01:10<00:20, 3.03it/s]
|
23469 |
79%|███████▉ | 228/288 [01:10<00:19, 3.01it/s]
|
23470 |
80%|███████▉ | 229/288 [01:10<00:19, 3.04it/s]
|
23471 |
80%|███████▉ | 230/288 [01:11<00:18, 3.07it/s]
|
23472 |
80%|████████ | 231/288 [01:11<00:19, 2.99it/s]
|
23473 |
81%|████████ | 232/288 [01:11<00:18, 3.04it/s]
|
23474 |
81%|████████ | 233/288 [01:12<00:18, 2.94it/s]
|
23475 |
81%|████████▏ | 234/288 [01:12<00:17, 3.01it/s]
|
23476 |
82%|████████▏ | 235/288 [01:12<00:17, 3.01it/s]
|
23477 |
82%|████████▏ | 236/288 [01:13<00:17, 2.92it/s]
|
23478 |
82%|████████▏ | 237/288 [01:13<00:17, 2.89it/s]
|
23479 |
83%|████████▎ | 238/288 [01:14<00:17, 2.92it/s]
|
23480 |
83%|████████▎ | 239/288 [01:14<00:16, 3.01it/s]
|
23481 |
83%|████████▎ | 240/288 [01:14<00:15, 3.14it/s]
|
23482 |
84%|████████▎ | 241/288 [01:14<00:15, 3.09it/s]
|
23483 |
84%|████████▍ | 242/288 [01:15<00:15, 3.05it/s]
|
23484 |
84%|████████▍ | 243/288 [01:15<00:14, 3.13it/s]
|
23485 |
85%|████████▍ | 244/288 [01:15<00:14, 3.06it/s]
|
23486 |
85%|████████▌ | 245/288 [01:16<00:14, 3.04it/s]
|
23487 |
85%|████████▌ | 246/288 [01:16<00:14, 2.98it/s]
|
23488 |
86%|████████▌ | 247/288 [01:16<00:13, 3.11it/s]
|
23489 |
86%|████████▌ | 248/288 [01:17<00:12, 3.12it/s]
|
23490 |
86%|████████▋ | 249/288 [01:17<00:12, 3.04it/s]
|
23491 |
87%|████████▋ | 250/288 [01:17<00:12, 3.00it/s]
|
23492 |
87%|████████▋ | 251/288 [01:18<00:12, 2.91it/s]
|
23493 |
88%|████████▊ | 252/288 [01:18<00:12, 2.84it/s]
|
23494 |
88%|████████▊ | 253/288 [01:18<00:11, 2.99it/s]
|
23495 |
88%|████████▊ | 254/288 [01:19<00:11, 3.09it/s]
|
23496 |
89%|████████▊ | 255/288 [01:19<00:10, 3.16it/s]
|
23497 |
89%|████████▉ | 256/288 [01:19<00:10, 3.14it/s]
|
23498 |
89%|████████▉ | 257/288 [01:20<00:09, 3.16it/s]
|
23499 |
90%|████████▉ | 258/288 [01:20<00:10, 2.93it/s]
|
23500 |
90%|████████▉ | 259/288 [01:20<00:10, 2.85it/s]
|
23501 |
90%|█████████ | 260/288 [01:21<00:09, 2.87it/s]
|
23502 |
91%|█████████ | 261/288 [01:21<00:09, 2.84it/s]
|
23503 |
91%|█████████ | 262/288 [01:22<00:09, 2.87it/s]
|
23504 |
91%|█████████▏| 263/288 [01:22<00:08, 2.95it/s]
|
23505 |
92%|█████████▏| 264/288 [01:22<00:08, 2.88it/s]
|
23506 |
92%|█████████▏| 265/288 [01:23<00:07, 2.88it/s]
|
23507 |
92%|█████████▏| 266/288 [01:23<00:07, 2.92it/s]
|
23508 |
93%|█████████▎| 267/288 [01:23<00:07, 2.84it/s]
|
23509 |
93%|█████████▎| 268/288 [01:24<00:06, 2.90it/s]
|
23510 |
93%|█████████▎| 269/288 [01:24<00:06, 2.80it/s]
|
23511 |
94%|█████████▍| 270/288 [01:24<00:06, 2.71it/s]
|
23512 |
94%|█████████▍| 271/288 [01:25<00:06, 2.75it/s]
|
23513 |
94%|█████████▍| 272/288 [01:25<00:05, 2.80it/s]
|
23514 |
95%|█████████▍| 273/288 [01:25<00:05, 2.85it/s]
|
23515 |
95%|█████████▌| 274/288 [01:26<00:04, 2.92it/s]
|
23516 |
95%|█████████▌| 275/288 [01:26<00:04, 3.00it/s]
|
23517 |
96%|█████████▌| 276/288 [01:26<00:03, 3.02it/s]
|
23518 |
96%|█████████▌| 277/288 [01:27<00:03, 2.98it/s]
|
23519 |
97%|█████████▋| 278/288 [01:27<00:03, 2.85it/s]
|
23520 |
97%|█████████▋| 279/288 [01:27<00:03, 2.98it/s]
|
23521 |
97%|█████████▋| 280/288 [01:28<00:02, 2.97it/s]
|
23522 |
98%|█████████▊| 281/288 [01:28<00:02, 3.04it/s]
|
23523 |
98%|█████████▊| 282/288 [01:28<00:01, 3.04it/s]
|
23524 |
98%|█████████▊| 283/288 [01:29<00:01, 2.90it/s]
|
23525 |
99%|█████████▊| 284/288 [01:29<00:01, 3.02it/s]
|
23526 |
99%|█████████▉| 285/288 [01:29<00:00, 3.06it/s]
|
23527 |
99%|█████████▉| 286/288 [01:30<00:00, 3.10it/s]
|
|
|
|
|
|
|
|
|
|
23239 |
|
23240 |
Dropping the following result as it does not have all the necessary fields:
|
23241 |
{'dataset': {'name': 'common_voice', 'type': 'common_voice', 'args': 'zh-HK'}}
|
23242 |
+
To https://huggingface.co/w11wo/wav2vec2-xls-r-300m-zh-HK-v2
|
23243 |
+
ace94fa..5679ecf main -> main
|
23244 |
+
|
23245 |
+
02/07/2022 12:45:57 - WARNING - huggingface_hub.repository - To https://huggingface.co/w11wo/wav2vec2-xls-r-300m-zh-HK-v2
|
23246 |
+
ace94fa..5679ecf main -> main
|
23247 |
+
|
23248 |
+
***** train metrics *****
|
23249 |
+
epoch = 100.0
|
23250 |
+
train_loss = 3.7852
|
23251 |
+
train_runtime = 20:10:40.10
|
23252 |
+
train_samples = 11949
|
23253 |
+
train_samples_per_second = 16.45
|
23254 |
+
train_steps_per_second = 0.513
|
23255 |
+
02/07/2022 12:46:00 - INFO - __main__ - *** Evaluate ***
|
23256 |
+
The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
|
23257 |
+
***** Running Evaluation *****
|
23258 |
+
Num examples = 2302
|
23259 |
+
Batch size = 8
|
23260 |
+
|
23261 |
0%| | 0/288 [00:00<?, ?it/s]
|
23262 |
1%| | 2/288 [00:00<00:40, 7.05it/s]
|
23263 |
1%| | 3/288 [00:00<01:04, 4.42it/s]
|
23264 |
1%|▏ | 4/288 [00:00<01:14, 3.84it/s]
|
23265 |
2%|▏ | 5/288 [00:01<01:12, 3.88it/s]
|
23266 |
2%|▏ | 6/288 [00:01<01:15, 3.74it/s]
|
23267 |
2%|▏ | 7/288 [00:01<01:18, 3.58it/s]
|
23268 |
3%|▎ | 8/288 [00:02<01:15, 3.72it/s]
|
23269 |
3%|▎ | 9/288 [00:02<01:19, 3.53it/s]
|
23270 |
3%|▎ | 10/288 [00:02<01:26, 3.20it/s]
|
23271 |
4%|▍ | 11/288 [00:03<01:28, 3.12it/s]
|
23272 |
4%|▍ | 12/288 [00:03<01:23, 3.29it/s]
|
23273 |
5%|▍ | 13/288 [00:03<01:25, 3.21it/s]
|
23274 |
5%|▍ | 14/288 [00:03<01:24, 3.26it/s]
|
23275 |
5%|▌ | 15/288 [00:04<01:20, 3.38it/s]
|
23276 |
6%|▌ | 16/288 [00:04<01:23, 3.24it/s]
|
23277 |
6%|▌ | 17/288 [00:04<01:21, 3.33it/s]
|
23278 |
6%|▋ | 18/288 [00:05<01:23, 3.23it/s]
|
23279 |
7%|▋ | 19/288 [00:05<01:25, 3.16it/s]
|
23280 |
7%|▋ | 20/288 [00:05<01:22, 3.25it/s]
|
23281 |
7%|▋ | 21/288 [00:06<01:21, 3.28it/s]
|
23282 |
8%|▊ | 22/288 [00:06<01:18, 3.38it/s]
|
23283 |
8%|▊ | 23/288 [00:06<01:19, 3.34it/s]
|
23284 |
8%|▊ | 24/288 [00:06<01:20, 3.29it/s]
|
23285 |
9%|▊ | 25/288 [00:07<01:18, 3.34it/s]
|
23286 |
9%|▉ | 26/288 [00:07<01:21, 3.20it/s]
|
23287 |
9%|▉ | 27/288 [00:07<01:21, 3.21it/s]
|
23288 |
10%|▉ | 28/288 [00:08<01:18, 3.33it/s]
|
23289 |
10%|█ | 29/288 [00:08<01:14, 3.50it/s]
|
23290 |
10%|█ | 30/288 [00:08<01:07, 3.85it/s]
|
23291 |
11%|█ | 31/288 [00:08<01:05, 3.90it/s]
|
23292 |
11%|█ | 32/288 [00:09<01:08, 3.76it/s]
|
23293 |
11%|█▏ | 33/288 [00:09<01:06, 3.86it/s]
|
23294 |
12%|█▏ | 34/288 [00:09<01:06, 3.80it/s]
|
23295 |
12%|█▏ | 35/288 [00:10<01:08, 3.69it/s]
|
23296 |
12%|█▎ | 36/288 [00:10<01:09, 3.63it/s]
|
23297 |
13%|█▎ | 37/288 [00:10<01:08, 3.64it/s]
|
23298 |
13%|█▎ | 38/288 [00:10<01:08, 3.66it/s]
|
23299 |
14%|█▎ | 39/288 [00:11<01:09, 3.59it/s]
|
23300 |
14%|█▍ | 40/288 [00:11<01:11, 3.49it/s]
|
23301 |
14%|█▍ | 41/288 [00:11<01:09, 3.56it/s]
|
23302 |
15%|█▍ | 42/288 [00:12<01:11, 3.43it/s]
|
23303 |
15%|█▍ | 43/288 [00:12<01:13, 3.34it/s]
|
23304 |
15%|█▌ | 44/288 [00:12<01:12, 3.36it/s]
|
23305 |
16%|█▌ | 45/288 [00:12<01:12, 3.35it/s]
|
23306 |
16%|█▌ | 46/288 [00:13<01:10, 3.43it/s]
|
23307 |
16%|█▋ | 47/288 [00:13<01:12, 3.34it/s]
|
23308 |
17%|█▋ | 48/288 [00:13<01:15, 3.16it/s]
|
23309 |
17%|█▋ | 49/288 [00:14<01:13, 3.26it/s]
|
23310 |
17%|█▋ | 50/288 [00:14<01:11, 3.34it/s]
|
23311 |
18%|█▊ | 51/288 [00:14<01:09, 3.40it/s]
|
23312 |
18%|█▊ | 52/288 [00:15<01:10, 3.35it/s]
|
23313 |
18%|█▊ | 53/288 [00:15<01:10, 3.33it/s]
|
23314 |
19%|█▉ | 54/288 [00:15<01:09, 3.37it/s]
|
23315 |
19%|█▉ | 55/288 [00:15<01:11, 3.26it/s]
|
23316 |
19%|█▉ | 56/288 [00:16<01:09, 3.34it/s]
|
23317 |
20%|█▉ | 57/288 [00:16<01:08, 3.39it/s]
|
23318 |
20%|██ | 58/288 [00:16<01:05, 3.49it/s]
|
23319 |
20%|██ | 59/288 [00:17<01:04, 3.58it/s]
|
23320 |
21%|██ | 60/288 [00:17<01:00, 3.74it/s]
|
23321 |
21%|██ | 61/288 [00:17<01:05, 3.46it/s]
|
23322 |
22%|██▏ | 62/288 [00:17<01:06, 3.39it/s]
|
23323 |
22%|██▏ | 63/288 [00:18<01:07, 3.31it/s]
|
23324 |
22%|██▏ | 64/288 [00:18<01:06, 3.39it/s]
|
23325 |
23%|██▎ | 65/288 [00:18<01:08, 3.27it/s]
|
23326 |
23%|██▎ | 66/288 [00:19<01:09, 3.17it/s]
|
23327 |
23%|██▎ | 67/288 [00:19<01:07, 3.27it/s]
|
23328 |
24%|██▎ | 68/288 [00:19<01:09, 3.18it/s]
|
23329 |
24%|██▍ | 69/288 [00:20<01:10, 3.13it/s]
|
23330 |
24%|██▍ | 70/288 [00:20<01:09, 3.16it/s]
|
23331 |
25%|██▍ | 71/288 [00:20<01:11, 3.03it/s]
|
23332 |
25%|██▌ | 72/288 [00:21<01:09, 3.11it/s]
|
23333 |
25%|██▌ | 73/288 [00:21<01:08, 3.15it/s]
|
23334 |
26%|██▌ | 74/288 [00:21<01:09, 3.07it/s]
|
23335 |
26%|██▌ | 75/288 [00:22<01:10, 3.00it/s]
|
23336 |
26%|██▋ | 76/288 [00:22<01:08, 3.08it/s]
|
23337 |
27%|██▋ | 77/288 [00:22<01:09, 3.06it/s]
|
23338 |
27%|██▋ | 78/288 [00:23<01:08, 3.09it/s]
|
23339 |
27%|██▋ | 79/288 [00:23<01:06, 3.14it/s]
|
23340 |
28%|██▊ | 80/288 [00:23<01:04, 3.24it/s]
|
23341 |
28%|██▊ | 81/288 [00:24<01:05, 3.18it/s]
|
23342 |
28%|██▊ | 82/288 [00:24<01:03, 3.26it/s]
|
23343 |
29%|██▉ | 83/288 [00:24<01:04, 3.17it/s]
|
23344 |
29%|██▉ | 84/288 [00:24<01:00, 3.38it/s]
|
23345 |
30%|██▉ | 85/288 [00:25<00:58, 3.45it/s]
|
23346 |
30%|██▉ | 86/288 [00:25<01:02, 3.23it/s]
|
23347 |
30%|███ | 87/288 [00:25<01:02, 3.21it/s]
|
23348 |
31%|███ | 88/288 [00:26<01:02, 3.18it/s]
|
23349 |
31%|███ | 89/288 [00:26<01:01, 3.24it/s]
|
23350 |
31%|███▏ | 90/288 [00:26<01:00, 3.29it/s]
|
23351 |
32%|███▏ | 91/288 [00:27<01:01, 3.22it/s]
|
23352 |
32%|███▏ | 92/288 [00:27<00:59, 3.28it/s]
|
23353 |
32%|███▏ | 93/288 [00:27<01:01, 3.15it/s]
|
23354 |
33%|███▎ | 94/288 [00:28<01:01, 3.18it/s]
|
23355 |
33%|███▎ | 95/288 [00:28<01:00, 3.21it/s]
|
23356 |
33%|███▎ | 96/288 [00:28<00:57, 3.35it/s]
|
23357 |
34%|███▎ | 97/288 [00:28<00:55, 3.41it/s]
|
23358 |
34%|███▍ | 98/288 [00:29<00:57, 3.29it/s]
|
23359 |
34%|███▍ | 99/288 [00:29<00:59, 3.16it/s]
|
23360 |
35%|███▍ | 100/288 [00:29<00:58, 3.21it/s]
|
23361 |
35%|███▌ | 101/288 [00:30<00:57, 3.26it/s]
|
23362 |
35%|███▌ | 102/288 [00:30<00:55, 3.35it/s]
|
23363 |
36%|███▌ | 103/288 [00:30<00:55, 3.34it/s]
|
23364 |
36%|███▌ | 104/288 [00:31<00:56, 3.24it/s]
|
23365 |
36%|███▋ | 105/288 [00:31<00:53, 3.40it/s]
|
23366 |
37%|███▋ | 106/288 [00:31<00:56, 3.24it/s]
|
23367 |
37%|███▋ | 107/288 [00:31<00:56, 3.19it/s]
|
23368 |
38%|███▊ | 108/288 [00:32<00:56, 3.18it/s]
|
23369 |
38%|███▊ | 109/288 [00:32<00:56, 3.15it/s]
|
23370 |
38%|███▊ | 110/288 [00:32<00:55, 3.20it/s]
|
23371 |
39%|███▊ | 111/288 [00:33<00:54, 3.22it/s]
|
23372 |
39%|███▉ | 112/288 [00:33<00:55, 3.17it/s]
|
23373 |
39%|███▉ | 113/288 [00:33<00:55, 3.16it/s]
|
23374 |
40%|███▉ | 114/288 [00:34<00:55, 3.14it/s]
|
23375 |
40%|███▉ | 115/288 [00:34<00:54, 3.19it/s]
|
23376 |
40%|████ | 116/288 [00:34<00:54, 3.14it/s]
|
23377 |
41%|████ | 117/288 [00:35<00:54, 3.16it/s]
|
23378 |
41%|████ | 118/288 [00:35<00:51, 3.33it/s]
|
23379 |
41%|████▏ | 119/288 [00:35<00:52, 3.23it/s]
|
23380 |
42%|████▏ | 120/288 [00:36<00:53, 3.16it/s]
|
23381 |
42%|████▏ | 121/288 [00:36<00:51, 3.26it/s]
|
23382 |
42%|████▏ | 122/288 [00:36<00:48, 3.41it/s]
|
23383 |
43%|████▎ | 123/288 [00:36<00:51, 3.17it/s]
|
23384 |
43%|████▎ | 124/288 [00:37<00:51, 3.18it/s]
|
23385 |
43%|████▎ | 125/288 [00:37<00:51, 3.17it/s]
|
23386 |
44%|████▍ | 126/288 [00:37<00:52, 3.06it/s]
|
23387 |
44%|████▍ | 127/288 [00:38<00:51, 3.13it/s]
|
23388 |
44%|████▍ | 128/288 [00:38<00:50, 3.14it/s]
|
23389 |
45%|████▍ | 129/288 [00:38<00:52, 3.00it/s]
|
23390 |
45%|████▌ | 130/288 [00:39<00:52, 3.03it/s]
|
23391 |
45%|████▌ | 131/288 [00:39<00:50, 3.09it/s]
|
23392 |
46%|████▌ | 132/288 [00:39<00:50, 3.08it/s]
|
23393 |
46%|████▌ | 133/288 [00:40<00:52, 2.97it/s]
|
23394 |
47%|████▋ | 134/288 [00:40<00:51, 2.96it/s]
|
23395 |
47%|████▋ | 135/288 [00:40<00:51, 2.99it/s]
|
23396 |
47%|████▋ | 136/288 [00:41<00:49, 3.06it/s]
|
23397 |
48%|████▊ | 137/288 [00:41<00:48, 3.09it/s]
|
23398 |
48%|████▊ | 138/288 [00:41<00:49, 3.05it/s]
|
23399 |
48%|████▊ | 139/288 [00:42<00:49, 3.01it/s]
|
23400 |
49%|████▊ | 140/288 [00:42<00:49, 3.01it/s]
|
23401 |
49%|████▉ | 141/288 [00:42<00:50, 2.94it/s]
|
23402 |
49%|████▉ | 142/288 [00:43<00:48, 3.03it/s]
|
23403 |
50%|████▉ | 143/288 [00:43<00:48, 2.99it/s]
|
23404 |
50%|█████ | 144/288 [00:43<00:44, 3.27it/s]
|
23405 |
50%|█████ | 145/288 [00:44<00:43, 3.26it/s]
|
23406 |
51%|█████ | 146/288 [00:44<00:42, 3.31it/s]
|
23407 |
51%|█████ | 147/288 [00:44<00:43, 3.27it/s]
|
23408 |
51%|█████▏ | 148/288 [00:45<00:44, 3.17it/s]
|
23409 |
52%|█████▏ | 149/288 [00:45<00:43, 3.18it/s]
|
23410 |
52%|█████▏ | 150/288 [00:45<00:44, 3.11it/s]
|
23411 |
52%|█████▏ | 151/288 [00:45<00:42, 3.24it/s]
|
23412 |
53%|█████▎ | 152/288 [00:46<00:42, 3.21it/s]
|
23413 |
53%|█████▎ | 153/288 [00:46<00:40, 3.30it/s]
|
23414 |
53%|█████▎ | 154/288 [00:46<00:42, 3.13it/s]
|
23415 |
54%|█████▍ | 155/288 [00:47<00:42, 3.12it/s]
|
23416 |
54%|█████▍ | 156/288 [00:47<00:41, 3.16it/s]
|
23417 |
55%|█████▍ | 157/288 [00:47<00:41, 3.14it/s]
|
23418 |
55%|█████▍ | 158/288 [00:48<00:41, 3.11it/s]
|
23419 |
55%|█████▌ | 159/288 [00:48<00:41, 3.12it/s]
|
23420 |
56%|█████▌ | 160/288 [00:48<00:39, 3.20it/s]
|
23421 |
56%|█████▌ | 161/288 [00:49<00:38, 3.29it/s]
|
23422 |
56%|█████▋ | 162/288 [00:49<00:37, 3.36it/s]
|
23423 |
57%|█████▋ | 163/288 [00:49<00:38, 3.26it/s]
|
23424 |
57%|█████▋ | 164/288 [00:50<00:37, 3.32it/s]
|
23425 |
57%|█████▋ | 165/288 [00:50<00:37, 3.29it/s]
|
23426 |
58%|█████▊ | 166/288 [00:50<00:37, 3.24it/s]
|
23427 |
58%|█████▊ | 167/288 [00:50<00:37, 3.27it/s]
|
23428 |
58%|█████▊ | 168/288 [00:51<00:38, 3.15it/s]
|
23429 |
59%|█████▊ | 169/288 [00:51<00:37, 3.18it/s]
|
23430 |
59%|█████▉ | 170/288 [00:51<00:37, 3.16it/s]
|
23431 |
59%|█████▉ | 171/288 [00:52<00:37, 3.14it/s]
|
23432 |
60%|█████▉ | 172/288 [00:52<00:37, 3.12it/s]
|
23433 |
60%|██████ | 173/288 [00:52<00:37, 3.06it/s]
|
23434 |
60%|██████ | 174/288 [00:53<00:36, 3.09it/s]
|
23435 |
61%|██████ | 175/288 [00:53<00:35, 3.20it/s]
|
23436 |
61%|██████ | 176/288 [00:53<00:37, 2.99it/s]
|
23437 |
61%|██████▏ | 177/288 [00:54<00:36, 3.01it/s]
|
23438 |
62%|██████▏ | 178/288 [00:54<00:36, 2.99it/s]
|
23439 |
62%|██████▏ | 179/288 [00:54<00:35, 3.05it/s]
|
23440 |
62%|██████▎ | 180/288 [00:55<00:35, 3.07it/s]
|
23441 |
63%|██████▎ | 181/288 [00:55<00:33, 3.24it/s]
|
23442 |
63%|██████▎ | 182/288 [00:55<00:34, 3.12it/s]
|
23443 |
64%|██████▎ | 183/288 [00:56<00:33, 3.14it/s]
|
23444 |
64%|██████▍ | 184/288 [00:56<00:33, 3.11it/s]
|
23445 |
64%|██████▍ | 185/288 [00:56<00:32, 3.15it/s]
|
23446 |
65%|██████▍ | 186/288 [00:57<00:30, 3.33it/s]
|
23447 |
65%|██████▍ | 187/288 [00:57<00:32, 3.10it/s]
|
23448 |
65%|██████▌ | 188/288 [00:57<00:32, 3.12it/s]
|
23449 |
66%|██████▌ | 189/288 [00:58<00:30, 3.22it/s]
|
23450 |
66%|██████▌ | 190/288 [00:58<00:31, 3.08it/s]
|
23451 |
66%|██████▋ | 191/288 [00:58<00:31, 3.10it/s]
|
23452 |
67%|██████▋ | 192/288 [00:58<00:30, 3.19it/s]
|
23453 |
67%|██████▋ | 193/288 [00:59<00:29, 3.21it/s]
|
23454 |
67%|██████▋ | 194/288 [00:59<00:31, 3.03it/s]
|
23455 |
68%|██████▊ | 195/288 [00:59<00:30, 3.07it/s]
|
23456 |
68%|██████▊ | 196/288 [01:00<00:30, 2.97it/s]
|
23457 |
68%|██████▊ | 197/288 [01:00<00:30, 2.98it/s]
|
23458 |
69%|██████▉ | 198/288 [01:00<00:28, 3.15it/s]
|
23459 |
69%|██████▉ | 199/288 [01:01<00:28, 3.13it/s]
|
23460 |
69%|██████▉ | 200/288 [01:01<00:26, 3.27it/s]
|
23461 |
70%|██████▉ | 201/288 [01:01<00:27, 3.17it/s]
|
23462 |
70%|███████ | 202/288 [01:02<00:27, 3.16it/s]
|
23463 |
70%|███████ | 203/288 [01:02<00:27, 3.15it/s]
|
23464 |
71%|███████ | 204/288 [01:02<00:26, 3.12it/s]
|
23465 |
71%|███████ | 205/288 [01:03<00:25, 3.21it/s]
|
23466 |
72%|███████▏ | 206/288 [01:03<00:26, 3.12it/s]
|
23467 |
72%|███████▏ | 207/288 [01:03<00:26, 3.03it/s]
|
23468 |
72%|███████▏ | 208/288 [01:04<00:26, 2.98it/s]
|
23469 |
73%|███████▎ | 209/288 [01:04<00:26, 2.94it/s]
|
23470 |
73%|███████▎ | 210/288 [01:04<00:24, 3.17it/s]
|
23471 |
73%|███████▎ | 211/288 [01:05<00:23, 3.24it/s]
|
23472 |
74%|███████▎ | 212/288 [01:05<00:22, 3.32it/s]
|
23473 |
74%|███████▍ | 213/288 [01:05<00:24, 3.08it/s]
|
23474 |
74%|███████▍ | 214/288 [01:06<00:23, 3.15it/s]
|
23475 |
75%|███████▍ | 215/288 [01:06<00:23, 3.06it/s]
|
23476 |
75%|███████▌ | 216/288 [01:06<00:23, 3.03it/s]
|
23477 |
75%|███████▌ | 217/288 [01:07<00:22, 3.15it/s]
|
23478 |
76%|███████▌ | 218/288 [01:07<00:22, 3.11it/s]
|
23479 |
76%|███████▌ | 219/288 [01:07<00:22, 3.11it/s]
|
23480 |
76%|███████▋ | 220/288 [01:08<00:23, 2.94it/s]
|
23481 |
77%|███████▋ | 221/288 [01:08<00:22, 2.97it/s]
|
23482 |
77%|███████▋ | 222/288 [01:08<00:22, 2.92it/s]
|
23483 |
77%|███████▋ | 223/288 [01:09<00:20, 3.11it/s]
|
23484 |
78%|███████▊ | 224/288 [01:09<00:20, 3.07it/s]
|
23485 |
78%|███████▊ | 225/288 [01:09<00:20, 3.10it/s]
|
23486 |
78%|███████▊ | 226/288 [01:09<00:19, 3.13it/s]
|
23487 |
79%|███████▉ | 227/288 [01:10<00:20, 3.03it/s]
|
23488 |
79%|███████▉ | 228/288 [01:10<00:19, 3.01it/s]
|
23489 |
80%|███████▉ | 229/288 [01:10<00:19, 3.04it/s]
|
23490 |
80%|███████▉ | 230/288 [01:11<00:18, 3.07it/s]
|
23491 |
80%|████████ | 231/288 [01:11<00:19, 2.99it/s]
|
23492 |
81%|████████ | 232/288 [01:11<00:18, 3.04it/s]
|
23493 |
81%|████████ | 233/288 [01:12<00:18, 2.94it/s]
|
23494 |
81%|████████▏ | 234/288 [01:12<00:17, 3.01it/s]
|
23495 |
82%|████████▏ | 235/288 [01:12<00:17, 3.01it/s]
|
23496 |
82%|████████▏ | 236/288 [01:13<00:17, 2.92it/s]
|
23497 |
82%|████████▏ | 237/288 [01:13<00:17, 2.89it/s]
|
23498 |
83%|████████▎ | 238/288 [01:14<00:17, 2.92it/s]
|
23499 |
83%|████████▎ | 239/288 [01:14<00:16, 3.01it/s]
|
23500 |
83%|████████▎ | 240/288 [01:14<00:15, 3.14it/s]
|
23501 |
84%|████████▎ | 241/288 [01:14<00:15, 3.09it/s]
|
23502 |
84%|████████▍ | 242/288 [01:15<00:15, 3.05it/s]
|
23503 |
84%|████████▍ | 243/288 [01:15<00:14, 3.13it/s]
|
23504 |
85%|████████▍ | 244/288 [01:15<00:14, 3.06it/s]
|
23505 |
85%|████████▌ | 245/288 [01:16<00:14, 3.04it/s]
|
23506 |
85%|████████▌ | 246/288 [01:16<00:14, 2.98it/s]
|
23507 |
86%|████████▌ | 247/288 [01:16<00:13, 3.11it/s]
|
23508 |
86%|████████▌ | 248/288 [01:17<00:12, 3.12it/s]
|
23509 |
86%|████████▋ | 249/288 [01:17<00:12, 3.04it/s]
|
23510 |
87%|████████▋ | 250/288 [01:17<00:12, 3.00it/s]
|
23511 |
87%|████████▋ | 251/288 [01:18<00:12, 2.91it/s]
|
23512 |
88%|████████▊ | 252/288 [01:18<00:12, 2.84it/s]
|
23513 |
88%|████████▊ | 253/288 [01:18<00:11, 2.99it/s]
|
23514 |
88%|████████▊ | 254/288 [01:19<00:11, 3.09it/s]
|
23515 |
89%|████████▊ | 255/288 [01:19<00:10, 3.16it/s]
|
23516 |
89%|████████▉ | 256/288 [01:19<00:10, 3.14it/s]
|
23517 |
89%|████████▉ | 257/288 [01:20<00:09, 3.16it/s]
|
23518 |
90%|████████▉ | 258/288 [01:20<00:10, 2.93it/s]
|
23519 |
90%|████████▉ | 259/288 [01:20<00:10, 2.85it/s]
|
23520 |
90%|█████████ | 260/288 [01:21<00:09, 2.87it/s]
|
23521 |
91%|█████████ | 261/288 [01:21<00:09, 2.84it/s]
|
23522 |
91%|█████████ | 262/288 [01:22<00:09, 2.87it/s]
|
23523 |
91%|█████████▏| 263/288 [01:22<00:08, 2.95it/s]
|
23524 |
92%|█████████▏| 264/288 [01:22<00:08, 2.88it/s]
|
23525 |
92%|█████████▏| 265/288 [01:23<00:07, 2.88it/s]
|
23526 |
92%|█████████▏| 266/288 [01:23<00:07, 2.92it/s]
|
23527 |
93%|█████████▎| 267/288 [01:23<00:07, 2.84it/s]
|
23528 |
93%|█████████▎| 268/288 [01:24<00:06, 2.90it/s]
|
23529 |
93%|█████████▎| 269/288 [01:24<00:06, 2.80it/s]
|
23530 |
94%|█████████▍| 270/288 [01:24<00:06, 2.71it/s]
|
23531 |
94%|█████████▍| 271/288 [01:25<00:06, 2.75it/s]
|
23532 |
94%|█████████▍| 272/288 [01:25<00:05, 2.80it/s]
|
23533 |
95%|█████████▍| 273/288 [01:25<00:05, 2.85it/s]
|
23534 |
95%|█████████▌| 274/288 [01:26<00:04, 2.92it/s]
|
23535 |
95%|█████████▌| 275/288 [01:26<00:04, 3.00it/s]
|
23536 |
96%|█████████▌| 276/288 [01:26<00:03, 3.02it/s]
|
23537 |
96%|█████████▌| 277/288 [01:27<00:03, 2.98it/s]
|
23538 |
97%|█████████▋| 278/288 [01:27<00:03, 2.85it/s]
|
23539 |
97%|█████████▋| 279/288 [01:27<00:03, 2.98it/s]
|
23540 |
97%|█████████▋| 280/288 [01:28<00:02, 2.97it/s]
|
23541 |
98%|█████████▊| 281/288 [01:28<00:02, 3.04it/s]
|
23542 |
98%|█████████▊| 282/288 [01:28<00:01, 3.04it/s]
|
23543 |
98%|█████████▊| 283/288 [01:29<00:01, 2.90it/s]
|
23544 |
99%|█████████▊| 284/288 [01:29<00:01, 3.02it/s]
|
23545 |
99%|█████████▉| 285/288 [01:29<00:00, 3.06it/s]
|
23546 |
99%|█████████▉| 286/288 [01:30<00:00, 3.10it/s]
|
23547 |
+
Saving model checkpoint to ./
|
23548 |
+
Configuration saved in ./config.json
|
23549 |
+
Model weights saved in ./pytorch_model.bin
|
23550 |
+
Configuration saved in ./preprocessor_config.json
|
runs/Feb06_16-31-57_job-cb7cc850-8327-4ab0-bdf4-0ebe63e2788c/events.out.tfevents.1644238077.job-cb7cc850-8327-4ab0-bdf4-0ebe63e2788c
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f3677a7083054130a207aacac190502d2c88bc738db7693aebbdea88f938b71d
|
3 |
+
size 40
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"train_loss": 3.7852419735087786,
|
4 |
+
"train_runtime": 72640.1075,
|
5 |
+
"train_samples": 11949,
|
6 |
+
"train_samples_per_second": 16.45,
|
7 |
+
"train_steps_per_second": 0.513
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3003 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 99.99866131191432,
|
5 |
+
"global_step": 37300,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.27,
|
12 |
+
"learning_rate": 4.85e-06,
|
13 |
+
"loss": 153.5094,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.54,
|
18 |
+
"learning_rate": 9.85e-06,
|
19 |
+
"loss": 108.8648,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.8,
|
24 |
+
"learning_rate": 1.48e-05,
|
25 |
+
"loss": 92.5714,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.07,
|
30 |
+
"learning_rate": 1.9800000000000004e-05,
|
31 |
+
"loss": 79.9356,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.34,
|
36 |
+
"learning_rate": 2.48e-05,
|
37 |
+
"loss": 69.8341,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.34,
|
42 |
+
"eval_cer": 1.0,
|
43 |
+
"eval_loss": 80.07215118408203,
|
44 |
+
"eval_runtime": 130.8213,
|
45 |
+
"eval_samples_per_second": 17.597,
|
46 |
+
"eval_steps_per_second": 2.201,
|
47 |
+
"eval_wer": 1.0,
|
48 |
+
"step": 500
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 1.61,
|
52 |
+
"learning_rate": 2.98e-05,
|
53 |
+
"loss": 54.2478,
|
54 |
+
"step": 600
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 1.88,
|
58 |
+
"learning_rate": 3.48e-05,
|
59 |
+
"loss": 35.5793,
|
60 |
+
"step": 700
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 2.14,
|
64 |
+
"learning_rate": 3.9800000000000005e-05,
|
65 |
+
"loss": 17.7978,
|
66 |
+
"step": 800
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 2.41,
|
70 |
+
"learning_rate": 4.4800000000000005e-05,
|
71 |
+
"loss": 8.1204,
|
72 |
+
"step": 900
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 2.68,
|
76 |
+
"learning_rate": 4.9800000000000004e-05,
|
77 |
+
"loss": 6.6418,
|
78 |
+
"step": 1000
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 2.68,
|
82 |
+
"eval_cer": 1.0,
|
83 |
+
"eval_loss": 6.634645938873291,
|
84 |
+
"eval_runtime": 117.0489,
|
85 |
+
"eval_samples_per_second": 19.667,
|
86 |
+
"eval_steps_per_second": 2.461,
|
87 |
+
"eval_wer": 1.0,
|
88 |
+
"step": 1000
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 2.95,
|
92 |
+
"learning_rate": 5.4800000000000004e-05,
|
93 |
+
"loss": 6.3633,
|
94 |
+
"step": 1100
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 3.22,
|
98 |
+
"learning_rate": 5.9800000000000003e-05,
|
99 |
+
"loss": 6.364,
|
100 |
+
"step": 1200
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 3.48,
|
104 |
+
"learning_rate": 6.48e-05,
|
105 |
+
"loss": 6.2461,
|
106 |
+
"step": 1300
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 3.75,
|
110 |
+
"learning_rate": 6.98e-05,
|
111 |
+
"loss": 6.2242,
|
112 |
+
"step": 1400
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 4.02,
|
116 |
+
"learning_rate": 7.48e-05,
|
117 |
+
"loss": 6.2419,
|
118 |
+
"step": 1500
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 4.02,
|
122 |
+
"eval_cer": 1.0,
|
123 |
+
"eval_loss": 6.290937423706055,
|
124 |
+
"eval_runtime": 117.0781,
|
125 |
+
"eval_samples_per_second": 19.662,
|
126 |
+
"eval_steps_per_second": 2.46,
|
127 |
+
"eval_wer": 1.0,
|
128 |
+
"step": 1500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 4.29,
|
132 |
+
"learning_rate": 7.98e-05,
|
133 |
+
"loss": 6.1691,
|
134 |
+
"step": 1600
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 4.56,
|
138 |
+
"learning_rate": 8.48e-05,
|
139 |
+
"loss": 6.1668,
|
140 |
+
"step": 1700
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 4.82,
|
144 |
+
"learning_rate": 8.98e-05,
|
145 |
+
"loss": 6.1623,
|
146 |
+
"step": 1800
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 5.09,
|
150 |
+
"learning_rate": 9.48e-05,
|
151 |
+
"loss": 6.1884,
|
152 |
+
"step": 1900
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 5.36,
|
156 |
+
"learning_rate": 9.98e-05,
|
157 |
+
"loss": 6.0813,
|
158 |
+
"step": 2000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 5.36,
|
162 |
+
"eval_cer": 1.0,
|
163 |
+
"eval_loss": 6.115033149719238,
|
164 |
+
"eval_runtime": 117.9948,
|
165 |
+
"eval_samples_per_second": 19.509,
|
166 |
+
"eval_steps_per_second": 2.441,
|
167 |
+
"eval_wer": 1.0,
|
168 |
+
"step": 2000
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 5.63,
|
172 |
+
"learning_rate": 9.972804532577904e-05,
|
173 |
+
"loss": 6.1027,
|
174 |
+
"step": 2100
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 5.9,
|
178 |
+
"learning_rate": 9.944475920679887e-05,
|
179 |
+
"loss": 6.0586,
|
180 |
+
"step": 2200
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 6.17,
|
184 |
+
"learning_rate": 9.91614730878187e-05,
|
185 |
+
"loss": 6.0399,
|
186 |
+
"step": 2300
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 6.43,
|
190 |
+
"learning_rate": 9.887818696883852e-05,
|
191 |
+
"loss": 6.0035,
|
192 |
+
"step": 2400
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 6.7,
|
196 |
+
"learning_rate": 9.859490084985836e-05,
|
197 |
+
"loss": 5.9677,
|
198 |
+
"step": 2500
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 6.7,
|
202 |
+
"eval_cer": 1.002818566168114,
|
203 |
+
"eval_loss": 6.030123233795166,
|
204 |
+
"eval_runtime": 116.8078,
|
205 |
+
"eval_samples_per_second": 19.708,
|
206 |
+
"eval_steps_per_second": 2.466,
|
207 |
+
"eval_wer": 1.1385881333910783,
|
208 |
+
"step": 2500
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 6.97,
|
212 |
+
"learning_rate": 9.831161473087818e-05,
|
213 |
+
"loss": 5.9617,
|
214 |
+
"step": 2600
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 7.24,
|
218 |
+
"learning_rate": 9.802832861189802e-05,
|
219 |
+
"loss": 5.9736,
|
220 |
+
"step": 2700
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 7.51,
|
224 |
+
"learning_rate": 9.774504249291784e-05,
|
225 |
+
"loss": 5.9098,
|
226 |
+
"step": 2800
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 7.77,
|
230 |
+
"learning_rate": 9.746175637393768e-05,
|
231 |
+
"loss": 5.9069,
|
232 |
+
"step": 2900
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 8.04,
|
236 |
+
"learning_rate": 9.717847025495752e-05,
|
237 |
+
"loss": 5.9296,
|
238 |
+
"step": 3000
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 8.04,
|
242 |
+
"eval_cer": 1.0057735145701687,
|
243 |
+
"eval_loss": 5.897457599639893,
|
244 |
+
"eval_runtime": 116.427,
|
245 |
+
"eval_samples_per_second": 19.772,
|
246 |
+
"eval_steps_per_second": 2.474,
|
247 |
+
"eval_wer": 1.2113469034213946,
|
248 |
+
"step": 3000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 8.31,
|
252 |
+
"learning_rate": 9.689518413597734e-05,
|
253 |
+
"loss": 5.8213,
|
254 |
+
"step": 3100
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 8.58,
|
258 |
+
"learning_rate": 9.661189801699718e-05,
|
259 |
+
"loss": 5.8241,
|
260 |
+
"step": 3200
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 8.85,
|
264 |
+
"learning_rate": 9.632861189801701e-05,
|
265 |
+
"loss": 5.7787,
|
266 |
+
"step": 3300
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 9.12,
|
270 |
+
"learning_rate": 9.604532577903684e-05,
|
271 |
+
"loss": 5.7529,
|
272 |
+
"step": 3400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 9.38,
|
276 |
+
"learning_rate": 9.576203966005666e-05,
|
277 |
+
"loss": 5.6434,
|
278 |
+
"step": 3500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 9.38,
|
282 |
+
"eval_cer": 1.017093239987271,
|
283 |
+
"eval_loss": 5.540365219116211,
|
284 |
+
"eval_runtime": 116.7079,
|
285 |
+
"eval_samples_per_second": 19.724,
|
286 |
+
"eval_steps_per_second": 2.468,
|
287 |
+
"eval_wer": 2.16240796881767,
|
288 |
+
"step": 3500
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 9.65,
|
292 |
+
"learning_rate": 9.54787535410765e-05,
|
293 |
+
"loss": 5.6259,
|
294 |
+
"step": 3600
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 9.92,
|
298 |
+
"learning_rate": 9.519546742209632e-05,
|
299 |
+
"loss": 5.5488,
|
300 |
+
"step": 3700
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 10.19,
|
304 |
+
"learning_rate": 9.491218130311616e-05,
|
305 |
+
"loss": 5.5068,
|
306 |
+
"step": 3800
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 10.46,
|
310 |
+
"learning_rate": 9.462889518413598e-05,
|
311 |
+
"loss": 5.3439,
|
312 |
+
"step": 3900
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 10.72,
|
316 |
+
"learning_rate": 9.434560906515582e-05,
|
317 |
+
"loss": 5.1974,
|
318 |
+
"step": 4000
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 10.72,
|
322 |
+
"eval_cer": 0.9365822612174387,
|
323 |
+
"eval_loss": 4.543997287750244,
|
324 |
+
"eval_runtime": 115.8257,
|
325 |
+
"eval_samples_per_second": 19.875,
|
326 |
+
"eval_steps_per_second": 2.486,
|
327 |
+
"eval_wer": 2.170203551320918,
|
328 |
+
"step": 4000
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 10.99,
|
332 |
+
"learning_rate": 9.406232294617564e-05,
|
333 |
+
"loss": 4.8692,
|
334 |
+
"step": 4100
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 11.26,
|
338 |
+
"learning_rate": 9.377903682719548e-05,
|
339 |
+
"loss": 4.7155,
|
340 |
+
"step": 4200
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 11.53,
|
344 |
+
"learning_rate": 9.34957507082153e-05,
|
345 |
+
"loss": 4.4978,
|
346 |
+
"step": 4300
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 11.8,
|
350 |
+
"learning_rate": 9.321246458923513e-05,
|
351 |
+
"loss": 4.4105,
|
352 |
+
"step": 4400
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 12.06,
|
356 |
+
"learning_rate": 9.292917847025496e-05,
|
357 |
+
"loss": 4.3601,
|
358 |
+
"step": 4500
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 12.06,
|
362 |
+
"eval_cer": 0.8998045187980179,
|
363 |
+
"eval_loss": 3.383898973464966,
|
364 |
+
"eval_runtime": 117.0791,
|
365 |
+
"eval_samples_per_second": 19.662,
|
366 |
+
"eval_steps_per_second": 2.46,
|
367 |
+
"eval_wer": 2.246427024686011,
|
368 |
+
"step": 4500
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 12.33,
|
372 |
+
"learning_rate": 9.264589235127479e-05,
|
373 |
+
"loss": 4.1745,
|
374 |
+
"step": 4600
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 12.6,
|
378 |
+
"learning_rate": 9.236260623229462e-05,
|
379 |
+
"loss": 4.1194,
|
380 |
+
"step": 4700
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 12.87,
|
384 |
+
"learning_rate": 9.207932011331445e-05,
|
385 |
+
"loss": 4.0809,
|
386 |
+
"step": 4800
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 13.14,
|
390 |
+
"learning_rate": 9.179603399433428e-05,
|
391 |
+
"loss": 3.9556,
|
392 |
+
"step": 4900
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 13.4,
|
396 |
+
"learning_rate": 9.151558073654392e-05,
|
397 |
+
"loss": 3.9321,
|
398 |
+
"step": 5000
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 13.4,
|
402 |
+
"eval_cer": 0.8400236395872165,
|
403 |
+
"eval_loss": 2.8784573078155518,
|
404 |
+
"eval_runtime": 117.9053,
|
405 |
+
"eval_samples_per_second": 19.524,
|
406 |
+
"eval_steps_per_second": 2.443,
|
407 |
+
"eval_wer": 2.3096578605456908,
|
408 |
+
"step": 5000
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 13.67,
|
412 |
+
"learning_rate": 9.123229461756374e-05,
|
413 |
+
"loss": 3.8826,
|
414 |
+
"step": 5100
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 13.94,
|
418 |
+
"learning_rate": 9.094900849858358e-05,
|
419 |
+
"loss": 3.7975,
|
420 |
+
"step": 5200
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 14.21,
|
424 |
+
"learning_rate": 9.06657223796034e-05,
|
425 |
+
"loss": 3.7704,
|
426 |
+
"step": 5300
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 14.48,
|
430 |
+
"learning_rate": 9.038243626062324e-05,
|
431 |
+
"loss": 3.6848,
|
432 |
+
"step": 5400
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 14.74,
|
436 |
+
"learning_rate": 9.009915014164306e-05,
|
437 |
+
"loss": 3.6462,
|
438 |
+
"step": 5500
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 14.74,
|
442 |
+
"eval_cer": 0.6663181342910397,
|
443 |
+
"eval_loss": 2.510770797729492,
|
444 |
+
"eval_runtime": 116.5338,
|
445 |
+
"eval_samples_per_second": 19.754,
|
446 |
+
"eval_steps_per_second": 2.471,
|
447 |
+
"eval_wer": 1.9623213512343005,
|
448 |
+
"step": 5500
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 15.01,
|
452 |
+
"learning_rate": 8.98158640226629e-05,
|
453 |
+
"loss": 3.584,
|
454 |
+
"step": 5600
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 15.28,
|
458 |
+
"learning_rate": 8.953257790368272e-05,
|
459 |
+
"loss": 3.531,
|
460 |
+
"step": 5700
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 15.55,
|
464 |
+
"learning_rate": 8.925212464589235e-05,
|
465 |
+
"loss": 3.5509,
|
466 |
+
"step": 5800
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 15.82,
|
470 |
+
"learning_rate": 8.896883852691219e-05,
|
471 |
+
"loss": 3.524,
|
472 |
+
"step": 5900
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 16.09,
|
476 |
+
"learning_rate": 8.868555240793201e-05,
|
477 |
+
"loss": 3.5156,
|
478 |
+
"step": 6000
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 16.09,
|
482 |
+
"eval_cer": 0.5705778060644633,
|
483 |
+
"eval_loss": 2.2789571285247803,
|
484 |
+
"eval_runtime": 115.731,
|
485 |
+
"eval_samples_per_second": 19.891,
|
486 |
+
"eval_steps_per_second": 2.489,
|
487 |
+
"eval_wer": 1.6478995236032914,
|
488 |
+
"step": 6000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 16.35,
|
492 |
+
"learning_rate": 8.840226628895184e-05,
|
493 |
+
"loss": 3.4294,
|
494 |
+
"step": 6100
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 16.62,
|
498 |
+
"learning_rate": 8.811898016997168e-05,
|
499 |
+
"loss": 3.4156,
|
500 |
+
"step": 6200
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 16.89,
|
504 |
+
"learning_rate": 8.78356940509915e-05,
|
505 |
+
"loss": 3.3933,
|
506 |
+
"step": 6300
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 17.16,
|
510 |
+
"learning_rate": 8.755240793201134e-05,
|
511 |
+
"loss": 3.3293,
|
512 |
+
"step": 6400
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 17.43,
|
516 |
+
"learning_rate": 8.726912181303116e-05,
|
517 |
+
"loss": 3.32,
|
518 |
+
"step": 6500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 17.43,
|
522 |
+
"eval_cer": 0.6244033277265082,
|
523 |
+
"eval_loss": 2.1449646949768066,
|
524 |
+
"eval_runtime": 119.2852,
|
525 |
+
"eval_samples_per_second": 19.298,
|
526 |
+
"eval_steps_per_second": 2.414,
|
527 |
+
"eval_wer": 1.833694239930706,
|
528 |
+
"step": 6500
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 17.69,
|
532 |
+
"learning_rate": 8.6985835694051e-05,
|
533 |
+
"loss": 3.3019,
|
534 |
+
"step": 6600
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 17.96,
|
538 |
+
"learning_rate": 8.670538243626063e-05,
|
539 |
+
"loss": 3.3058,
|
540 |
+
"step": 6700
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 18.23,
|
544 |
+
"learning_rate": 8.642209631728045e-05,
|
545 |
+
"loss": 3.289,
|
546 |
+
"step": 6800
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 18.5,
|
550 |
+
"learning_rate": 8.613881019830029e-05,
|
551 |
+
"loss": 3.208,
|
552 |
+
"step": 6900
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 18.77,
|
556 |
+
"learning_rate": 8.585552407932011e-05,
|
557 |
+
"loss": 3.1918,
|
558 |
+
"step": 7000
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 18.77,
|
562 |
+
"eval_cer": 0.6017184161476565,
|
563 |
+
"eval_loss": 1.8536365032196045,
|
564 |
+
"eval_runtime": 116.4854,
|
565 |
+
"eval_samples_per_second": 19.762,
|
566 |
+
"eval_steps_per_second": 2.472,
|
567 |
+
"eval_wer": 1.939367691641403,
|
568 |
+
"step": 7000
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 19.03,
|
572 |
+
"learning_rate": 8.557223796033995e-05,
|
573 |
+
"loss": 3.1877,
|
574 |
+
"step": 7100
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 19.3,
|
578 |
+
"learning_rate": 8.528895184135977e-05,
|
579 |
+
"loss": 3.0893,
|
580 |
+
"step": 7200
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 19.57,
|
584 |
+
"learning_rate": 8.500566572237961e-05,
|
585 |
+
"loss": 3.102,
|
586 |
+
"step": 7300
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 19.84,
|
590 |
+
"learning_rate": 8.472521246458924e-05,
|
591 |
+
"loss": 3.0536,
|
592 |
+
"step": 7400
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 20.11,
|
596 |
+
"learning_rate": 8.444192634560907e-05,
|
597 |
+
"loss": 3.1139,
|
598 |
+
"step": 7500
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 20.11,
|
602 |
+
"eval_cer": 0.5638496158567078,
|
603 |
+
"eval_loss": 1.7204933166503906,
|
604 |
+
"eval_runtime": 116.1457,
|
605 |
+
"eval_samples_per_second": 19.82,
|
606 |
+
"eval_steps_per_second": 2.48,
|
607 |
+
"eval_wer": 1.9112169770463403,
|
608 |
+
"step": 7500
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 20.37,
|
612 |
+
"learning_rate": 8.41586402266289e-05,
|
613 |
+
"loss": 2.9958,
|
614 |
+
"step": 7600
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 20.64,
|
618 |
+
"learning_rate": 8.387535410764873e-05,
|
619 |
+
"loss": 3.0055,
|
620 |
+
"step": 7700
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 20.91,
|
624 |
+
"learning_rate": 8.359206798866855e-05,
|
625 |
+
"loss": 2.9673,
|
626 |
+
"step": 7800
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 21.18,
|
630 |
+
"learning_rate": 8.330878186968839e-05,
|
631 |
+
"loss": 2.9276,
|
632 |
+
"step": 7900
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 21.45,
|
636 |
+
"learning_rate": 8.302549575070821e-05,
|
637 |
+
"loss": 2.8995,
|
638 |
+
"step": 8000
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 21.45,
|
642 |
+
"eval_cer": 0.3250443242260308,
|
643 |
+
"eval_loss": 1.5478395223617554,
|
644 |
+
"eval_runtime": 120.8897,
|
645 |
+
"eval_samples_per_second": 19.042,
|
646 |
+
"eval_steps_per_second": 2.382,
|
647 |
+
"eval_wer": 1.0623646600259853,
|
648 |
+
"step": 8000
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 21.71,
|
652 |
+
"learning_rate": 8.274220963172805e-05,
|
653 |
+
"loss": 2.8602,
|
654 |
+
"step": 8100
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 21.98,
|
658 |
+
"learning_rate": 8.245892351274787e-05,
|
659 |
+
"loss": 2.877,
|
660 |
+
"step": 8200
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 22.25,
|
664 |
+
"learning_rate": 8.217563739376771e-05,
|
665 |
+
"loss": 2.8283,
|
666 |
+
"step": 8300
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 22.52,
|
670 |
+
"learning_rate": 8.189235127478753e-05,
|
671 |
+
"loss": 2.7887,
|
672 |
+
"step": 8400
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 22.79,
|
676 |
+
"learning_rate": 8.160906515580737e-05,
|
677 |
+
"loss": 2.7572,
|
678 |
+
"step": 8500
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 22.79,
|
682 |
+
"eval_cer": 0.33668227485566216,
|
683 |
+
"eval_loss": 1.406813144683838,
|
684 |
+
"eval_runtime": 117.2331,
|
685 |
+
"eval_samples_per_second": 19.636,
|
686 |
+
"eval_steps_per_second": 2.457,
|
687 |
+
"eval_wer": 1.141186660892161,
|
688 |
+
"step": 8500
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 23.06,
|
692 |
+
"learning_rate": 8.132577903682719e-05,
|
693 |
+
"loss": 2.7576,
|
694 |
+
"step": 8600
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 23.32,
|
698 |
+
"learning_rate": 8.104249291784703e-05,
|
699 |
+
"loss": 2.7336,
|
700 |
+
"step": 8700
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 23.59,
|
704 |
+
"learning_rate": 8.075920679886687e-05,
|
705 |
+
"loss": 2.6792,
|
706 |
+
"step": 8800
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 23.86,
|
710 |
+
"learning_rate": 8.047592067988669e-05,
|
711 |
+
"loss": 2.6983,
|
712 |
+
"step": 8900
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 24.13,
|
716 |
+
"learning_rate": 8.019263456090653e-05,
|
717 |
+
"loss": 2.6881,
|
718 |
+
"step": 9000
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 24.13,
|
722 |
+
"eval_cer": 0.5683047688321134,
|
723 |
+
"eval_loss": 1.3311798572540283,
|
724 |
+
"eval_runtime": 116.7773,
|
725 |
+
"eval_samples_per_second": 19.713,
|
726 |
+
"eval_steps_per_second": 2.466,
|
727 |
+
"eval_wer": 2.009961022087484,
|
728 |
+
"step": 9000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 24.4,
|
732 |
+
"learning_rate": 7.990934844192635e-05,
|
733 |
+
"loss": 2.6439,
|
734 |
+
"step": 9100
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 24.66,
|
738 |
+
"learning_rate": 7.962606232294619e-05,
|
739 |
+
"loss": 2.6563,
|
740 |
+
"step": 9200
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 24.93,
|
744 |
+
"learning_rate": 7.934277620396601e-05,
|
745 |
+
"loss": 2.6792,
|
746 |
+
"step": 9300
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 25.2,
|
750 |
+
"learning_rate": 7.905949008498585e-05,
|
751 |
+
"loss": 2.6905,
|
752 |
+
"step": 9400
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 25.47,
|
756 |
+
"learning_rate": 7.877620396600567e-05,
|
757 |
+
"loss": 2.5993,
|
758 |
+
"step": 9500
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 25.47,
|
762 |
+
"eval_cer": 0.6450425057962449,
|
763 |
+
"eval_loss": 1.2552706003189087,
|
764 |
+
"eval_runtime": 117.844,
|
765 |
+
"eval_samples_per_second": 19.534,
|
766 |
+
"eval_steps_per_second": 2.444,
|
767 |
+
"eval_wer": 2.003897791251624,
|
768 |
+
"step": 9500
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 25.74,
|
772 |
+
"learning_rate": 7.849291784702551e-05,
|
773 |
+
"loss": 2.6243,
|
774 |
+
"step": 9600
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 26.01,
|
778 |
+
"learning_rate": 7.820963172804533e-05,
|
779 |
+
"loss": 2.5753,
|
780 |
+
"step": 9700
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 26.27,
|
784 |
+
"learning_rate": 7.792634560906516e-05,
|
785 |
+
"loss": 2.521,
|
786 |
+
"step": 9800
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 26.54,
|
790 |
+
"learning_rate": 7.76458923512748e-05,
|
791 |
+
"loss": 2.5546,
|
792 |
+
"step": 9900
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 26.81,
|
796 |
+
"learning_rate": 7.736260623229463e-05,
|
797 |
+
"loss": 2.5304,
|
798 |
+
"step": 10000
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 26.81,
|
802 |
+
"eval_cer": 0.5788971223348638,
|
803 |
+
"eval_loss": 1.242166519165039,
|
804 |
+
"eval_runtime": 116.3994,
|
805 |
+
"eval_samples_per_second": 19.777,
|
806 |
+
"eval_steps_per_second": 2.474,
|
807 |
+
"eval_wer": 2.039411000433088,
|
808 |
+
"step": 10000
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 27.08,
|
812 |
+
"learning_rate": 7.707932011331445e-05,
|
813 |
+
"loss": 2.5599,
|
814 |
+
"step": 10100
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 27.35,
|
818 |
+
"learning_rate": 7.679603399433429e-05,
|
819 |
+
"loss": 2.4878,
|
820 |
+
"step": 10200
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 27.61,
|
824 |
+
"learning_rate": 7.651274787535411e-05,
|
825 |
+
"loss": 2.4684,
|
826 |
+
"step": 10300
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 27.88,
|
830 |
+
"learning_rate": 7.622946175637395e-05,
|
831 |
+
"loss": 2.4647,
|
832 |
+
"step": 10400
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 28.15,
|
836 |
+
"learning_rate": 7.594617563739377e-05,
|
837 |
+
"loss": 2.4352,
|
838 |
+
"step": 10500
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 28.15,
|
842 |
+
"eval_cer": 0.5506659999090785,
|
843 |
+
"eval_loss": 1.1581844091415405,
|
844 |
+
"eval_runtime": 116.2358,
|
845 |
+
"eval_samples_per_second": 19.805,
|
846 |
+
"eval_steps_per_second": 2.478,
|
847 |
+
"eval_wer": 1.9969683845820703,
|
848 |
+
"step": 10500
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 28.42,
|
852 |
+
"learning_rate": 7.56628895184136e-05,
|
853 |
+
"loss": 2.4437,
|
854 |
+
"step": 10600
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 28.69,
|
858 |
+
"learning_rate": 7.537960339943343e-05,
|
859 |
+
"loss": 2.44,
|
860 |
+
"step": 10700
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 28.95,
|
864 |
+
"learning_rate": 7.509631728045327e-05,
|
865 |
+
"loss": 2.447,
|
866 |
+
"step": 10800
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 29.22,
|
870 |
+
"learning_rate": 7.481303116147309e-05,
|
871 |
+
"loss": 2.4203,
|
872 |
+
"step": 10900
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 29.49,
|
876 |
+
"learning_rate": 7.452974504249293e-05,
|
877 |
+
"loss": 2.3795,
|
878 |
+
"step": 11000
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 29.49,
|
882 |
+
"eval_cer": 0.4843842342137564,
|
883 |
+
"eval_loss": 1.1159536838531494,
|
884 |
+
"eval_runtime": 117.3261,
|
885 |
+
"eval_samples_per_second": 19.621,
|
886 |
+
"eval_steps_per_second": 2.455,
|
887 |
+
"eval_wer": 1.8254655695106106,
|
888 |
+
"step": 11000
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 29.76,
|
892 |
+
"learning_rate": 7.424645892351275e-05,
|
893 |
+
"loss": 2.3967,
|
894 |
+
"step": 11100
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 30.03,
|
898 |
+
"learning_rate": 7.396317280453257e-05,
|
899 |
+
"loss": 2.3546,
|
900 |
+
"step": 11200
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 30.29,
|
904 |
+
"learning_rate": 7.367988668555241e-05,
|
905 |
+
"loss": 2.343,
|
906 |
+
"step": 11300
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 30.56,
|
910 |
+
"learning_rate": 7.339660056657224e-05,
|
911 |
+
"loss": 2.3377,
|
912 |
+
"step": 11400
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 30.83,
|
916 |
+
"learning_rate": 7.311331444759207e-05,
|
917 |
+
"loss": 2.3287,
|
918 |
+
"step": 11500
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 30.83,
|
922 |
+
"eval_cer": 0.3780060917397827,
|
923 |
+
"eval_loss": 1.0775071382522583,
|
924 |
+
"eval_runtime": 118.2979,
|
925 |
+
"eval_samples_per_second": 19.459,
|
926 |
+
"eval_steps_per_second": 2.435,
|
927 |
+
"eval_wer": 1.4122996968384582,
|
928 |
+
"step": 11500
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 31.1,
|
932 |
+
"learning_rate": 7.28300283286119e-05,
|
933 |
+
"loss": 2.341,
|
934 |
+
"step": 11600
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 31.37,
|
938 |
+
"learning_rate": 7.254674220963173e-05,
|
939 |
+
"loss": 2.3039,
|
940 |
+
"step": 11700
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 31.63,
|
944 |
+
"learning_rate": 7.226345609065156e-05,
|
945 |
+
"loss": 2.2769,
|
946 |
+
"step": 11800
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 31.9,
|
950 |
+
"learning_rate": 7.198300283286119e-05,
|
951 |
+
"loss": 2.323,
|
952 |
+
"step": 11900
|
953 |
+
},
|
954 |
+
{
|
955 |
+
"epoch": 32.17,
|
956 |
+
"learning_rate": 7.169971671388103e-05,
|
957 |
+
"loss": 2.2622,
|
958 |
+
"step": 12000
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 32.17,
|
962 |
+
"eval_cer": 0.48938491612492613,
|
963 |
+
"eval_loss": 1.0703905820846558,
|
964 |
+
"eval_runtime": 116.0515,
|
965 |
+
"eval_samples_per_second": 19.836,
|
966 |
+
"eval_steps_per_second": 2.482,
|
967 |
+
"eval_wer": 1.7444781290601992,
|
968 |
+
"step": 12000
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 32.44,
|
972 |
+
"learning_rate": 7.141643059490085e-05,
|
973 |
+
"loss": 2.2663,
|
974 |
+
"step": 12100
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 32.71,
|
978 |
+
"learning_rate": 7.113314447592069e-05,
|
979 |
+
"loss": 2.2797,
|
980 |
+
"step": 12200
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 32.97,
|
984 |
+
"learning_rate": 7.084985835694051e-05,
|
985 |
+
"loss": 2.264,
|
986 |
+
"step": 12300
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 33.24,
|
990 |
+
"learning_rate": 7.056657223796033e-05,
|
991 |
+
"loss": 2.2497,
|
992 |
+
"step": 12400
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 33.51,
|
996 |
+
"learning_rate": 7.028328611898017e-05,
|
997 |
+
"loss": 2.2225,
|
998 |
+
"step": 12500
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 33.51,
|
1002 |
+
"eval_cer": 0.5057962449424922,
|
1003 |
+
"eval_loss": 1.0272445678710938,
|
1004 |
+
"eval_runtime": 118.2938,
|
1005 |
+
"eval_samples_per_second": 19.46,
|
1006 |
+
"eval_steps_per_second": 2.435,
|
1007 |
+
"eval_wer": 1.7236899090515374,
|
1008 |
+
"step": 12500
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 33.78,
|
1012 |
+
"learning_rate": 7e-05,
|
1013 |
+
"loss": 2.2025,
|
1014 |
+
"step": 12600
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 34.05,
|
1018 |
+
"learning_rate": 6.971671388101983e-05,
|
1019 |
+
"loss": 2.1892,
|
1020 |
+
"step": 12700
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 34.32,
|
1024 |
+
"learning_rate": 6.943342776203965e-05,
|
1025 |
+
"loss": 2.1498,
|
1026 |
+
"step": 12800
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 34.58,
|
1030 |
+
"learning_rate": 6.915014164305949e-05,
|
1031 |
+
"loss": 2.1819,
|
1032 |
+
"step": 12900
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 34.85,
|
1036 |
+
"learning_rate": 6.886685552407931e-05,
|
1037 |
+
"loss": 2.1843,
|
1038 |
+
"step": 13000
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 34.85,
|
1042 |
+
"eval_cer": 0.5028412965404373,
|
1043 |
+
"eval_loss": 0.9756352305412292,
|
1044 |
+
"eval_runtime": 117.2229,
|
1045 |
+
"eval_samples_per_second": 19.638,
|
1046 |
+
"eval_steps_per_second": 2.457,
|
1047 |
+
"eval_wer": 1.8042442615851018,
|
1048 |
+
"step": 13000
|
1049 |
+
},
|
1050 |
+
{
|
1051 |
+
"epoch": 35.12,
|
1052 |
+
"learning_rate": 6.858356940509915e-05,
|
1053 |
+
"loss": 2.1578,
|
1054 |
+
"step": 13100
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 35.39,
|
1058 |
+
"learning_rate": 6.830028328611899e-05,
|
1059 |
+
"loss": 2.1083,
|
1060 |
+
"step": 13200
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 35.66,
|
1064 |
+
"learning_rate": 6.801699716713881e-05,
|
1065 |
+
"loss": 2.1531,
|
1066 |
+
"step": 13300
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 35.92,
|
1070 |
+
"learning_rate": 6.773371104815865e-05,
|
1071 |
+
"loss": 2.11,
|
1072 |
+
"step": 13400
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 36.19,
|
1076 |
+
"learning_rate": 6.745042492917847e-05,
|
1077 |
+
"loss": 2.1,
|
1078 |
+
"step": 13500
|
1079 |
+
},
|
1080 |
+
{
|
1081 |
+
"epoch": 36.19,
|
1082 |
+
"eval_cer": 0.6055371186980043,
|
1083 |
+
"eval_loss": 0.9526697993278503,
|
1084 |
+
"eval_runtime": 118.3448,
|
1085 |
+
"eval_samples_per_second": 19.452,
|
1086 |
+
"eval_steps_per_second": 2.434,
|
1087 |
+
"eval_wer": 1.8908618449545258,
|
1088 |
+
"step": 13500
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 36.46,
|
1092 |
+
"learning_rate": 6.716713881019831e-05,
|
1093 |
+
"loss": 2.0948,
|
1094 |
+
"step": 13600
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 36.73,
|
1098 |
+
"learning_rate": 6.688385269121813e-05,
|
1099 |
+
"loss": 2.071,
|
1100 |
+
"step": 13700
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 37.0,
|
1104 |
+
"learning_rate": 6.660056657223797e-05,
|
1105 |
+
"loss": 2.1179,
|
1106 |
+
"step": 13800
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 37.27,
|
1110 |
+
"learning_rate": 6.63172804532578e-05,
|
1111 |
+
"loss": 2.0444,
|
1112 |
+
"step": 13900
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 37.53,
|
1116 |
+
"learning_rate": 6.603399433427763e-05,
|
1117 |
+
"loss": 2.0741,
|
1118 |
+
"step": 14000
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 37.53,
|
1122 |
+
"eval_cer": 0.5880347320089103,
|
1123 |
+
"eval_loss": 0.941799521446228,
|
1124 |
+
"eval_runtime": 117.0385,
|
1125 |
+
"eval_samples_per_second": 19.669,
|
1126 |
+
"eval_steps_per_second": 2.461,
|
1127 |
+
"eval_wer": 1.902555218709398,
|
1128 |
+
"step": 14000
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 37.8,
|
1132 |
+
"learning_rate": 6.575070821529745e-05,
|
1133 |
+
"loss": 2.0937,
|
1134 |
+
"step": 14100
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 38.07,
|
1138 |
+
"learning_rate": 6.546742209631729e-05,
|
1139 |
+
"loss": 2.0848,
|
1140 |
+
"step": 14200
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 38.34,
|
1144 |
+
"learning_rate": 6.518413597733712e-05,
|
1145 |
+
"loss": 2.0235,
|
1146 |
+
"step": 14300
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 38.61,
|
1150 |
+
"learning_rate": 6.490084985835695e-05,
|
1151 |
+
"loss": 2.0165,
|
1152 |
+
"step": 14400
|
1153 |
+
},
|
1154 |
+
{
|
1155 |
+
"epoch": 38.87,
|
1156 |
+
"learning_rate": 6.461756373937678e-05,
|
1157 |
+
"loss": 2.0179,
|
1158 |
+
"step": 14500
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 38.87,
|
1162 |
+
"eval_cer": 0.5245715324817021,
|
1163 |
+
"eval_loss": 0.93625807762146,
|
1164 |
+
"eval_runtime": 117.33,
|
1165 |
+
"eval_samples_per_second": 19.62,
|
1166 |
+
"eval_steps_per_second": 2.455,
|
1167 |
+
"eval_wer": 1.797747942832395,
|
1168 |
+
"step": 14500
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 39.14,
|
1172 |
+
"learning_rate": 6.43342776203966e-05,
|
1173 |
+
"loss": 1.9771,
|
1174 |
+
"step": 14600
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 39.41,
|
1178 |
+
"learning_rate": 6.405099150141644e-05,
|
1179 |
+
"loss": 1.9721,
|
1180 |
+
"step": 14700
|
1181 |
+
},
|
1182 |
+
{
|
1183 |
+
"epoch": 39.68,
|
1184 |
+
"learning_rate": 6.376770538243626e-05,
|
1185 |
+
"loss": 2.0099,
|
1186 |
+
"step": 14800
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 39.95,
|
1190 |
+
"learning_rate": 6.34844192634561e-05,
|
1191 |
+
"loss": 2.0237,
|
1192 |
+
"step": 14900
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 40.21,
|
1196 |
+
"learning_rate": 6.320113314447592e-05,
|
1197 |
+
"loss": 2.0615,
|
1198 |
+
"step": 15000
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 40.21,
|
1202 |
+
"eval_cer": 0.5598945310724189,
|
1203 |
+
"eval_loss": 0.9634870886802673,
|
1204 |
+
"eval_runtime": 118.3611,
|
1205 |
+
"eval_samples_per_second": 19.449,
|
1206 |
+
"eval_steps_per_second": 2.433,
|
1207 |
+
"eval_wer": 1.8111736682546558,
|
1208 |
+
"step": 15000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 40.48,
|
1212 |
+
"learning_rate": 6.291784702549576e-05,
|
1213 |
+
"loss": 1.9647,
|
1214 |
+
"step": 15100
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 40.75,
|
1218 |
+
"learning_rate": 6.263456090651558e-05,
|
1219 |
+
"loss": 1.9683,
|
1220 |
+
"step": 15200
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 41.02,
|
1224 |
+
"learning_rate": 6.235127478753542e-05,
|
1225 |
+
"loss": 1.9311,
|
1226 |
+
"step": 15300
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 41.29,
|
1230 |
+
"learning_rate": 6.206798866855524e-05,
|
1231 |
+
"loss": 1.9126,
|
1232 |
+
"step": 15400
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 41.55,
|
1236 |
+
"learning_rate": 6.178470254957506e-05,
|
1237 |
+
"loss": 1.9448,
|
1238 |
+
"step": 15500
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 41.55,
|
1242 |
+
"eval_cer": 0.491430649634041,
|
1243 |
+
"eval_loss": 0.9248816967010498,
|
1244 |
+
"eval_runtime": 116.7415,
|
1245 |
+
"eval_samples_per_second": 19.719,
|
1246 |
+
"eval_steps_per_second": 2.467,
|
1247 |
+
"eval_wer": 1.7249891728020788,
|
1248 |
+
"step": 15500
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 41.82,
|
1252 |
+
"learning_rate": 6.15014164305949e-05,
|
1253 |
+
"loss": 1.934,
|
1254 |
+
"step": 15600
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 42.09,
|
1258 |
+
"learning_rate": 6.121813031161473e-05,
|
1259 |
+
"loss": 2.0163,
|
1260 |
+
"step": 15700
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 42.36,
|
1264 |
+
"learning_rate": 6.093484419263457e-05,
|
1265 |
+
"loss": 1.8725,
|
1266 |
+
"step": 15800
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 42.63,
|
1270 |
+
"learning_rate": 6.065155807365439e-05,
|
1271 |
+
"loss": 1.9246,
|
1272 |
+
"step": 15900
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 42.89,
|
1276 |
+
"learning_rate": 6.036827195467423e-05,
|
1277 |
+
"loss": 1.8966,
|
1278 |
+
"step": 16000
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 42.89,
|
1282 |
+
"eval_cer": 0.4318770741464745,
|
1283 |
+
"eval_loss": 0.9022775888442993,
|
1284 |
+
"eval_runtime": 116.8996,
|
1285 |
+
"eval_samples_per_second": 19.692,
|
1286 |
+
"eval_steps_per_second": 2.464,
|
1287 |
+
"eval_wer": 1.5829363360762234,
|
1288 |
+
"step": 16000
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"epoch": 43.16,
|
1292 |
+
"learning_rate": 6.008498583569405e-05,
|
1293 |
+
"loss": 1.8316,
|
1294 |
+
"step": 16100
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 43.43,
|
1298 |
+
"learning_rate": 5.9804532577903686e-05,
|
1299 |
+
"loss": 1.8786,
|
1300 |
+
"step": 16200
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 43.7,
|
1304 |
+
"learning_rate": 5.9521246458923516e-05,
|
1305 |
+
"loss": 1.84,
|
1306 |
+
"step": 16300
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 43.97,
|
1310 |
+
"learning_rate": 5.9237960339943346e-05,
|
1311 |
+
"loss": 1.875,
|
1312 |
+
"step": 16400
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 44.24,
|
1316 |
+
"learning_rate": 5.895750708215297e-05,
|
1317 |
+
"loss": 1.8662,
|
1318 |
+
"step": 16500
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 44.24,
|
1322 |
+
"eval_cer": 0.42301222894031004,
|
1323 |
+
"eval_loss": 0.9001737236976624,
|
1324 |
+
"eval_runtime": 118.0444,
|
1325 |
+
"eval_samples_per_second": 19.501,
|
1326 |
+
"eval_steps_per_second": 2.44,
|
1327 |
+
"eval_wer": 1.483326115201386,
|
1328 |
+
"step": 16500
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 44.5,
|
1332 |
+
"learning_rate": 5.867422096317281e-05,
|
1333 |
+
"loss": 1.8645,
|
1334 |
+
"step": 16600
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 44.77,
|
1338 |
+
"learning_rate": 5.839093484419263e-05,
|
1339 |
+
"loss": 1.8243,
|
1340 |
+
"step": 16700
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 45.04,
|
1344 |
+
"learning_rate": 5.810764872521247e-05,
|
1345 |
+
"loss": 1.7991,
|
1346 |
+
"step": 16800
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 45.31,
|
1350 |
+
"learning_rate": 5.78243626062323e-05,
|
1351 |
+
"loss": 1.7956,
|
1352 |
+
"step": 16900
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 45.58,
|
1356 |
+
"learning_rate": 5.754107648725213e-05,
|
1357 |
+
"loss": 1.8136,
|
1358 |
+
"step": 17000
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 45.58,
|
1362 |
+
"eval_cer": 0.2986770923307724,
|
1363 |
+
"eval_loss": 0.9075531959533691,
|
1364 |
+
"eval_runtime": 118.7643,
|
1365 |
+
"eval_samples_per_second": 19.383,
|
1366 |
+
"eval_steps_per_second": 2.425,
|
1367 |
+
"eval_wer": 1.1827631009094846,
|
1368 |
+
"step": 17000
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 45.84,
|
1372 |
+
"learning_rate": 5.725779036827196e-05,
|
1373 |
+
"loss": 1.8,
|
1374 |
+
"step": 17100
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 46.11,
|
1378 |
+
"learning_rate": 5.6974504249291784e-05,
|
1379 |
+
"loss": 1.8339,
|
1380 |
+
"step": 17200
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 46.38,
|
1384 |
+
"learning_rate": 5.669121813031162e-05,
|
1385 |
+
"loss": 1.7869,
|
1386 |
+
"step": 17300
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 46.65,
|
1390 |
+
"learning_rate": 5.6407932011331444e-05,
|
1391 |
+
"loss": 1.8145,
|
1392 |
+
"step": 17400
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 46.92,
|
1396 |
+
"learning_rate": 5.612464589235128e-05,
|
1397 |
+
"loss": 1.7908,
|
1398 |
+
"step": 17500
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 46.92,
|
1402 |
+
"eval_cer": 0.42578533436377686,
|
1403 |
+
"eval_loss": 0.8774313926696777,
|
1404 |
+
"eval_runtime": 118.9119,
|
1405 |
+
"eval_samples_per_second": 19.359,
|
1406 |
+
"eval_steps_per_second": 2.422,
|
1407 |
+
"eval_wer": 1.577306193157211,
|
1408 |
+
"step": 17500
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 47.18,
|
1412 |
+
"learning_rate": 5.5841359773371105e-05,
|
1413 |
+
"loss": 1.7488,
|
1414 |
+
"step": 17600
|
1415 |
+
},
|
1416 |
+
{
|
1417 |
+
"epoch": 47.45,
|
1418 |
+
"learning_rate": 5.555807365439094e-05,
|
1419 |
+
"loss": 1.7289,
|
1420 |
+
"step": 17700
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 47.72,
|
1424 |
+
"learning_rate": 5.5274787535410765e-05,
|
1425 |
+
"loss": 1.7722,
|
1426 |
+
"step": 17800
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 47.99,
|
1430 |
+
"learning_rate": 5.49915014164306e-05,
|
1431 |
+
"loss": 1.7659,
|
1432 |
+
"step": 17900
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 48.26,
|
1436 |
+
"learning_rate": 5.4708215297450426e-05,
|
1437 |
+
"loss": 1.7354,
|
1438 |
+
"step": 18000
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 48.26,
|
1442 |
+
"eval_cer": 0.40241851161522024,
|
1443 |
+
"eval_loss": 0.8727295398712158,
|
1444 |
+
"eval_runtime": 117.7378,
|
1445 |
+
"eval_samples_per_second": 19.552,
|
1446 |
+
"eval_steps_per_second": 2.446,
|
1447 |
+
"eval_wer": 1.5036812472932006,
|
1448 |
+
"step": 18000
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 48.52,
|
1452 |
+
"learning_rate": 5.442492917847026e-05,
|
1453 |
+
"loss": 1.7538,
|
1454 |
+
"step": 18100
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 48.79,
|
1458 |
+
"learning_rate": 5.4141643059490086e-05,
|
1459 |
+
"loss": 1.7304,
|
1460 |
+
"step": 18200
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 49.06,
|
1464 |
+
"learning_rate": 5.385835694050991e-05,
|
1465 |
+
"loss": 1.7194,
|
1466 |
+
"step": 18300
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 49.33,
|
1470 |
+
"learning_rate": 5.357507082152975e-05,
|
1471 |
+
"loss": 1.6824,
|
1472 |
+
"step": 18400
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 49.6,
|
1476 |
+
"learning_rate": 5.329178470254958e-05,
|
1477 |
+
"loss": 1.6739,
|
1478 |
+
"step": 18500
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 49.6,
|
1482 |
+
"eval_cer": 0.27890166840932856,
|
1483 |
+
"eval_loss": 0.8635693788528442,
|
1484 |
+
"eval_runtime": 118.5578,
|
1485 |
+
"eval_samples_per_second": 19.417,
|
1486 |
+
"eval_steps_per_second": 2.429,
|
1487 |
+
"eval_wer": 1.1238631442182763,
|
1488 |
+
"step": 18500
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 49.86,
|
1492 |
+
"learning_rate": 5.300849858356941e-05,
|
1493 |
+
"loss": 1.6807,
|
1494 |
+
"step": 18600
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 50.13,
|
1498 |
+
"learning_rate": 5.272521246458924e-05,
|
1499 |
+
"loss": 1.6651,
|
1500 |
+
"step": 18700
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 50.4,
|
1504 |
+
"learning_rate": 5.2441926345609075e-05,
|
1505 |
+
"loss": 1.7008,
|
1506 |
+
"step": 18800
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 50.67,
|
1510 |
+
"learning_rate": 5.21586402266289e-05,
|
1511 |
+
"loss": 1.6183,
|
1512 |
+
"step": 18900
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 50.94,
|
1516 |
+
"learning_rate": 5.1875354107648735e-05,
|
1517 |
+
"loss": 1.6457,
|
1518 |
+
"step": 19000
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 50.94,
|
1522 |
+
"eval_cer": 0.3103605037050507,
|
1523 |
+
"eval_loss": 0.8516315221786499,
|
1524 |
+
"eval_runtime": 117.1957,
|
1525 |
+
"eval_samples_per_second": 19.642,
|
1526 |
+
"eval_steps_per_second": 2.457,
|
1527 |
+
"eval_wer": 1.2269380684278908,
|
1528 |
+
"step": 19000
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 51.21,
|
1532 |
+
"learning_rate": 5.159206798866856e-05,
|
1533 |
+
"loss": 1.6506,
|
1534 |
+
"step": 19100
|
1535 |
+
},
|
1536 |
+
{
|
1537 |
+
"epoch": 51.47,
|
1538 |
+
"learning_rate": 5.130878186968838e-05,
|
1539 |
+
"loss": 1.6612,
|
1540 |
+
"step": 19200
|
1541 |
+
},
|
1542 |
+
{
|
1543 |
+
"epoch": 51.74,
|
1544 |
+
"learning_rate": 5.102549575070822e-05,
|
1545 |
+
"loss": 1.6339,
|
1546 |
+
"step": 19300
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 52.01,
|
1550 |
+
"learning_rate": 5.074220963172804e-05,
|
1551 |
+
"loss": 1.6134,
|
1552 |
+
"step": 19400
|
1553 |
+
},
|
1554 |
+
{
|
1555 |
+
"epoch": 52.28,
|
1556 |
+
"learning_rate": 5.045892351274788e-05,
|
1557 |
+
"loss": 1.5847,
|
1558 |
+
"step": 19500
|
1559 |
+
},
|
1560 |
+
{
|
1561 |
+
"epoch": 52.28,
|
1562 |
+
"eval_cer": 0.33600036368595715,
|
1563 |
+
"eval_loss": 0.8398524522781372,
|
1564 |
+
"eval_runtime": 116.7512,
|
1565 |
+
"eval_samples_per_second": 19.717,
|
1566 |
+
"eval_steps_per_second": 2.467,
|
1567 |
+
"eval_wer": 1.3308791684711996,
|
1568 |
+
"step": 19500
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 52.55,
|
1572 |
+
"learning_rate": 5.01756373937677e-05,
|
1573 |
+
"loss": 1.5839,
|
1574 |
+
"step": 19600
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 52.81,
|
1578 |
+
"learning_rate": 4.9892351274787533e-05,
|
1579 |
+
"loss": 1.5887,
|
1580 |
+
"step": 19700
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 53.08,
|
1584 |
+
"learning_rate": 4.9609065155807364e-05,
|
1585 |
+
"loss": 1.6578,
|
1586 |
+
"step": 19800
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 53.35,
|
1590 |
+
"learning_rate": 4.9325779036827194e-05,
|
1591 |
+
"loss": 1.5896,
|
1592 |
+
"step": 19900
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 53.62,
|
1596 |
+
"learning_rate": 4.9042492917847024e-05,
|
1597 |
+
"loss": 1.5971,
|
1598 |
+
"step": 20000
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 53.62,
|
1602 |
+
"eval_cer": 0.3334545619857253,
|
1603 |
+
"eval_loss": 0.844145655632019,
|
1604 |
+
"eval_runtime": 117.5266,
|
1605 |
+
"eval_samples_per_second": 19.587,
|
1606 |
+
"eval_steps_per_second": 2.451,
|
1607 |
+
"eval_wer": 1.3152880034647034,
|
1608 |
+
"step": 20000
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 53.89,
|
1612 |
+
"learning_rate": 4.8759206798866854e-05,
|
1613 |
+
"loss": 1.5645,
|
1614 |
+
"step": 20100
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 54.16,
|
1618 |
+
"learning_rate": 4.847592067988669e-05,
|
1619 |
+
"loss": 1.481,
|
1620 |
+
"step": 20200
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 54.42,
|
1624 |
+
"learning_rate": 4.819263456090652e-05,
|
1625 |
+
"loss": 1.5474,
|
1626 |
+
"step": 20300
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 54.69,
|
1630 |
+
"learning_rate": 4.790934844192635e-05,
|
1631 |
+
"loss": 1.576,
|
1632 |
+
"step": 20400
|
1633 |
+
},
|
1634 |
+
{
|
1635 |
+
"epoch": 54.96,
|
1636 |
+
"learning_rate": 4.762606232294618e-05,
|
1637 |
+
"loss": 1.602,
|
1638 |
+
"step": 20500
|
1639 |
+
},
|
1640 |
+
{
|
1641 |
+
"epoch": 54.96,
|
1642 |
+
"eval_cer": 0.34331954357412375,
|
1643 |
+
"eval_loss": 0.8589980602264404,
|
1644 |
+
"eval_runtime": 117.5211,
|
1645 |
+
"eval_samples_per_second": 19.588,
|
1646 |
+
"eval_steps_per_second": 2.451,
|
1647 |
+
"eval_wer": 1.2932005197055003,
|
1648 |
+
"step": 20500
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 55.23,
|
1652 |
+
"learning_rate": 4.734277620396601e-05,
|
1653 |
+
"loss": 1.6106,
|
1654 |
+
"step": 20600
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 55.5,
|
1658 |
+
"learning_rate": 4.7059490084985836e-05,
|
1659 |
+
"loss": 1.551,
|
1660 |
+
"step": 20700
|
1661 |
+
},
|
1662 |
+
{
|
1663 |
+
"epoch": 55.76,
|
1664 |
+
"learning_rate": 4.6776203966005666e-05,
|
1665 |
+
"loss": 1.5118,
|
1666 |
+
"step": 20800
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 56.03,
|
1670 |
+
"learning_rate": 4.64957507082153e-05,
|
1671 |
+
"loss": 1.5028,
|
1672 |
+
"step": 20900
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 56.3,
|
1676 |
+
"learning_rate": 4.621246458923513e-05,
|
1677 |
+
"loss": 1.5063,
|
1678 |
+
"step": 21000
|
1679 |
+
},
|
1680 |
+
{
|
1681 |
+
"epoch": 56.3,
|
1682 |
+
"eval_cer": 0.28749374914761106,
|
1683 |
+
"eval_loss": 0.8333584070205688,
|
1684 |
+
"eval_runtime": 116.6165,
|
1685 |
+
"eval_samples_per_second": 19.74,
|
1686 |
+
"eval_steps_per_second": 2.47,
|
1687 |
+
"eval_wer": 1.1312256388046773,
|
1688 |
+
"step": 21000
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 56.57,
|
1692 |
+
"learning_rate": 4.592917847025496e-05,
|
1693 |
+
"loss": 1.5195,
|
1694 |
+
"step": 21100
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 56.84,
|
1698 |
+
"learning_rate": 4.564589235127479e-05,
|
1699 |
+
"loss": 1.549,
|
1700 |
+
"step": 21200
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 57.1,
|
1704 |
+
"learning_rate": 4.536260623229462e-05,
|
1705 |
+
"loss": 1.5636,
|
1706 |
+
"step": 21300
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 57.37,
|
1710 |
+
"learning_rate": 4.507932011331445e-05,
|
1711 |
+
"loss": 1.482,
|
1712 |
+
"step": 21400
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 57.64,
|
1716 |
+
"learning_rate": 4.479603399433428e-05,
|
1717 |
+
"loss": 1.4631,
|
1718 |
+
"step": 21500
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 57.64,
|
1722 |
+
"eval_cer": 0.2999045324362413,
|
1723 |
+
"eval_loss": 0.8474038243293762,
|
1724 |
+
"eval_runtime": 118.5932,
|
1725 |
+
"eval_samples_per_second": 19.411,
|
1726 |
+
"eval_steps_per_second": 2.428,
|
1727 |
+
"eval_wer": 1.169770463404071,
|
1728 |
+
"step": 21500
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 57.91,
|
1732 |
+
"learning_rate": 4.451274787535411e-05,
|
1733 |
+
"loss": 1.4869,
|
1734 |
+
"step": 21600
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 58.18,
|
1738 |
+
"learning_rate": 4.422946175637394e-05,
|
1739 |
+
"loss": 1.4692,
|
1740 |
+
"step": 21700
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 58.44,
|
1744 |
+
"learning_rate": 4.394617563739377e-05,
|
1745 |
+
"loss": 1.4673,
|
1746 |
+
"step": 21800
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 58.71,
|
1750 |
+
"learning_rate": 4.36628895184136e-05,
|
1751 |
+
"loss": 1.501,
|
1752 |
+
"step": 21900
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 58.98,
|
1756 |
+
"learning_rate": 4.3379603399433425e-05,
|
1757 |
+
"loss": 1.4997,
|
1758 |
+
"step": 22000
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 58.98,
|
1762 |
+
"eval_cer": 0.38541619311724323,
|
1763 |
+
"eval_loss": 0.8637779355049133,
|
1764 |
+
"eval_runtime": 116.453,
|
1765 |
+
"eval_samples_per_second": 19.768,
|
1766 |
+
"eval_steps_per_second": 2.473,
|
1767 |
+
"eval_wer": 1.4278908618449546,
|
1768 |
+
"step": 22000
|
1769 |
+
},
|
1770 |
+
{
|
1771 |
+
"epoch": 59.25,
|
1772 |
+
"learning_rate": 4.3096317280453255e-05,
|
1773 |
+
"loss": 1.4404,
|
1774 |
+
"step": 22100
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 59.52,
|
1778 |
+
"learning_rate": 4.2815864022662894e-05,
|
1779 |
+
"loss": 1.4639,
|
1780 |
+
"step": 22200
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 59.78,
|
1784 |
+
"learning_rate": 4.2532577903682725e-05,
|
1785 |
+
"loss": 1.4724,
|
1786 |
+
"step": 22300
|
1787 |
+
},
|
1788 |
+
{
|
1789 |
+
"epoch": 60.05,
|
1790 |
+
"learning_rate": 4.224929178470255e-05,
|
1791 |
+
"loss": 1.4146,
|
1792 |
+
"step": 22400
|
1793 |
+
},
|
1794 |
+
{
|
1795 |
+
"epoch": 60.32,
|
1796 |
+
"learning_rate": 4.196600566572238e-05,
|
1797 |
+
"loss": 1.4301,
|
1798 |
+
"step": 22500
|
1799 |
+
},
|
1800 |
+
{
|
1801 |
+
"epoch": 60.32,
|
1802 |
+
"eval_cer": 0.32995408464790654,
|
1803 |
+
"eval_loss": 0.8549993634223938,
|
1804 |
+
"eval_runtime": 118.194,
|
1805 |
+
"eval_samples_per_second": 19.476,
|
1806 |
+
"eval_steps_per_second": 2.437,
|
1807 |
+
"eval_wer": 1.27371156344738,
|
1808 |
+
"step": 22500
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 60.59,
|
1812 |
+
"learning_rate": 4.168271954674221e-05,
|
1813 |
+
"loss": 1.4288,
|
1814 |
+
"step": 22600
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 60.86,
|
1818 |
+
"learning_rate": 4.139943342776204e-05,
|
1819 |
+
"loss": 1.4183,
|
1820 |
+
"step": 22700
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 61.13,
|
1824 |
+
"learning_rate": 4.111614730878187e-05,
|
1825 |
+
"loss": 1.3995,
|
1826 |
+
"step": 22800
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 61.39,
|
1830 |
+
"learning_rate": 4.08328611898017e-05,
|
1831 |
+
"loss": 1.3967,
|
1832 |
+
"step": 22900
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 61.66,
|
1836 |
+
"learning_rate": 4.054957507082153e-05,
|
1837 |
+
"loss": 1.3798,
|
1838 |
+
"step": 23000
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 61.66,
|
1842 |
+
"eval_cer": 0.2934491066963677,
|
1843 |
+
"eval_loss": 0.8265963792800903,
|
1844 |
+
"eval_runtime": 118.5302,
|
1845 |
+
"eval_samples_per_second": 19.421,
|
1846 |
+
"eval_steps_per_second": 2.43,
|
1847 |
+
"eval_wer": 1.1801645734084019,
|
1848 |
+
"step": 23000
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 61.93,
|
1852 |
+
"learning_rate": 4.026628895184136e-05,
|
1853 |
+
"loss": 1.3781,
|
1854 |
+
"step": 23100
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 62.2,
|
1858 |
+
"learning_rate": 3.99830028328612e-05,
|
1859 |
+
"loss": 1.412,
|
1860 |
+
"step": 23200
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 62.47,
|
1864 |
+
"learning_rate": 3.969971671388103e-05,
|
1865 |
+
"loss": 1.3643,
|
1866 |
+
"step": 23300
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 62.73,
|
1870 |
+
"learning_rate": 3.941643059490085e-05,
|
1871 |
+
"loss": 1.3848,
|
1872 |
+
"step": 23400
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 63.0,
|
1876 |
+
"learning_rate": 3.913314447592068e-05,
|
1877 |
+
"loss": 1.3454,
|
1878 |
+
"step": 23500
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 63.0,
|
1882 |
+
"eval_cer": 0.3711415192980861,
|
1883 |
+
"eval_loss": 0.8234531879425049,
|
1884 |
+
"eval_runtime": 118.9878,
|
1885 |
+
"eval_samples_per_second": 19.347,
|
1886 |
+
"eval_steps_per_second": 2.42,
|
1887 |
+
"eval_wer": 1.3815504547423128,
|
1888 |
+
"step": 23500
|
1889 |
+
},
|
1890 |
+
{
|
1891 |
+
"epoch": 63.27,
|
1892 |
+
"learning_rate": 3.884985835694051e-05,
|
1893 |
+
"loss": 1.3549,
|
1894 |
+
"step": 23600
|
1895 |
+
},
|
1896 |
+
{
|
1897 |
+
"epoch": 63.54,
|
1898 |
+
"learning_rate": 3.856657223796034e-05,
|
1899 |
+
"loss": 1.3746,
|
1900 |
+
"step": 23700
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 63.81,
|
1904 |
+
"learning_rate": 3.828328611898017e-05,
|
1905 |
+
"loss": 1.3619,
|
1906 |
+
"step": 23800
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 64.07,
|
1910 |
+
"learning_rate": 3.8e-05,
|
1911 |
+
"loss": 1.4683,
|
1912 |
+
"step": 23900
|
1913 |
+
},
|
1914 |
+
{
|
1915 |
+
"epoch": 64.34,
|
1916 |
+
"learning_rate": 3.771671388101983e-05,
|
1917 |
+
"loss": 1.3678,
|
1918 |
+
"step": 24000
|
1919 |
+
},
|
1920 |
+
{
|
1921 |
+
"epoch": 64.34,
|
1922 |
+
"eval_cer": 0.5034777469654953,
|
1923 |
+
"eval_loss": 0.8549569249153137,
|
1924 |
+
"eval_runtime": 117.2623,
|
1925 |
+
"eval_samples_per_second": 19.631,
|
1926 |
+
"eval_steps_per_second": 2.456,
|
1927 |
+
"eval_wer": 1.642702468601126,
|
1928 |
+
"step": 24000
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 64.61,
|
1932 |
+
"learning_rate": 3.743342776203966e-05,
|
1933 |
+
"loss": 1.3534,
|
1934 |
+
"step": 24100
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 64.88,
|
1938 |
+
"learning_rate": 3.715014164305949e-05,
|
1939 |
+
"loss": 1.341,
|
1940 |
+
"step": 24200
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 65.15,
|
1944 |
+
"learning_rate": 3.686685552407932e-05,
|
1945 |
+
"loss": 1.2738,
|
1946 |
+
"step": 24300
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 65.41,
|
1950 |
+
"learning_rate": 3.658356940509915e-05,
|
1951 |
+
"loss": 1.3237,
|
1952 |
+
"step": 24400
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 65.68,
|
1956 |
+
"learning_rate": 3.630028328611898e-05,
|
1957 |
+
"loss": 1.3761,
|
1958 |
+
"step": 24500
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 65.68,
|
1962 |
+
"eval_cer": 0.490703277719689,
|
1963 |
+
"eval_loss": 0.8510046601295471,
|
1964 |
+
"eval_runtime": 120.5712,
|
1965 |
+
"eval_samples_per_second": 19.092,
|
1966 |
+
"eval_steps_per_second": 2.389,
|
1967 |
+
"eval_wer": 1.6708531831961888,
|
1968 |
+
"step": 24500
|
1969 |
+
},
|
1970 |
+
{
|
1971 |
+
"epoch": 65.95,
|
1972 |
+
"learning_rate": 3.6016997167138814e-05,
|
1973 |
+
"loss": 1.3209,
|
1974 |
+
"step": 24600
|
1975 |
+
},
|
1976 |
+
{
|
1977 |
+
"epoch": 66.22,
|
1978 |
+
"learning_rate": 3.5733711048158644e-05,
|
1979 |
+
"loss": 1.4141,
|
1980 |
+
"step": 24700
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 66.49,
|
1984 |
+
"learning_rate": 3.5450424929178474e-05,
|
1985 |
+
"loss": 1.3229,
|
1986 |
+
"step": 24800
|
1987 |
+
},
|
1988 |
+
{
|
1989 |
+
"epoch": 66.76,
|
1990 |
+
"learning_rate": 3.5167138810198305e-05,
|
1991 |
+
"loss": 1.3413,
|
1992 |
+
"step": 24900
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 67.02,
|
1996 |
+
"learning_rate": 3.4883852691218135e-05,
|
1997 |
+
"loss": 1.2668,
|
1998 |
+
"step": 25000
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 67.02,
|
2002 |
+
"eval_cer": 0.45051597945174343,
|
2003 |
+
"eval_loss": 0.8514528274536133,
|
2004 |
+
"eval_runtime": 118.6832,
|
2005 |
+
"eval_samples_per_second": 19.396,
|
2006 |
+
"eval_steps_per_second": 2.427,
|
2007 |
+
"eval_wer": 1.5842355998267648,
|
2008 |
+
"step": 25000
|
2009 |
+
},
|
2010 |
+
{
|
2011 |
+
"epoch": 67.29,
|
2012 |
+
"learning_rate": 3.4600566572237965e-05,
|
2013 |
+
"loss": 1.3151,
|
2014 |
+
"step": 25100
|
2015 |
+
},
|
2016 |
+
{
|
2017 |
+
"epoch": 67.56,
|
2018 |
+
"learning_rate": 3.4317280453257796e-05,
|
2019 |
+
"loss": 1.3491,
|
2020 |
+
"step": 25200
|
2021 |
+
},
|
2022 |
+
{
|
2023 |
+
"epoch": 67.83,
|
2024 |
+
"learning_rate": 3.4033994334277626e-05,
|
2025 |
+
"loss": 1.3392,
|
2026 |
+
"step": 25300
|
2027 |
+
},
|
2028 |
+
{
|
2029 |
+
"epoch": 68.1,
|
2030 |
+
"learning_rate": 3.375070821529745e-05,
|
2031 |
+
"loss": 1.3551,
|
2032 |
+
"step": 25400
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 68.36,
|
2036 |
+
"learning_rate": 3.346742209631728e-05,
|
2037 |
+
"loss": 1.2835,
|
2038 |
+
"step": 25500
|
2039 |
+
},
|
2040 |
+
{
|
2041 |
+
"epoch": 68.36,
|
2042 |
+
"eval_cer": 0.4221030140473701,
|
2043 |
+
"eval_loss": 0.8283268213272095,
|
2044 |
+
"eval_runtime": 118.4861,
|
2045 |
+
"eval_samples_per_second": 19.428,
|
2046 |
+
"eval_steps_per_second": 2.431,
|
2047 |
+
"eval_wer": 1.5352966652230402,
|
2048 |
+
"step": 25500
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 68.63,
|
2052 |
+
"learning_rate": 3.318413597733711e-05,
|
2053 |
+
"loss": 1.2847,
|
2054 |
+
"step": 25600
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 68.9,
|
2058 |
+
"learning_rate": 3.290084985835694e-05,
|
2059 |
+
"loss": 1.3164,
|
2060 |
+
"step": 25700
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 69.17,
|
2064 |
+
"learning_rate": 3.261756373937677e-05,
|
2065 |
+
"loss": 1.2624,
|
2066 |
+
"step": 25800
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 69.44,
|
2070 |
+
"learning_rate": 3.23342776203966e-05,
|
2071 |
+
"loss": 1.3301,
|
2072 |
+
"step": 25900
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 69.7,
|
2076 |
+
"learning_rate": 3.205099150141643e-05,
|
2077 |
+
"loss": 1.2961,
|
2078 |
+
"step": 26000
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 69.7,
|
2082 |
+
"eval_cer": 0.43692321680229124,
|
2083 |
+
"eval_loss": 0.8339292407035828,
|
2084 |
+
"eval_runtime": 119.6696,
|
2085 |
+
"eval_samples_per_second": 19.236,
|
2086 |
+
"eval_steps_per_second": 2.407,
|
2087 |
+
"eval_wer": 1.574274577739281,
|
2088 |
+
"step": 26000
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 69.97,
|
2092 |
+
"learning_rate": 3.176770538243626e-05,
|
2093 |
+
"loss": 1.2716,
|
2094 |
+
"step": 26100
|
2095 |
+
},
|
2096 |
+
{
|
2097 |
+
"epoch": 70.24,
|
2098 |
+
"learning_rate": 3.148441926345609e-05,
|
2099 |
+
"loss": 1.2832,
|
2100 |
+
"step": 26200
|
2101 |
+
},
|
2102 |
+
{
|
2103 |
+
"epoch": 70.51,
|
2104 |
+
"learning_rate": 3.120113314447592e-05,
|
2105 |
+
"loss": 1.2607,
|
2106 |
+
"step": 26300
|
2107 |
+
},
|
2108 |
+
{
|
2109 |
+
"epoch": 70.78,
|
2110 |
+
"learning_rate": 3.091784702549575e-05,
|
2111 |
+
"loss": 1.2774,
|
2112 |
+
"step": 26400
|
2113 |
+
},
|
2114 |
+
{
|
2115 |
+
"epoch": 71.05,
|
2116 |
+
"learning_rate": 3.0637393767705384e-05,
|
2117 |
+
"loss": 1.2656,
|
2118 |
+
"step": 26500
|
2119 |
+
},
|
2120 |
+
{
|
2121 |
+
"epoch": 71.05,
|
2122 |
+
"eval_cer": 0.42169386734554715,
|
2123 |
+
"eval_loss": 0.8330555558204651,
|
2124 |
+
"eval_runtime": 120.4651,
|
2125 |
+
"eval_samples_per_second": 19.109,
|
2126 |
+
"eval_steps_per_second": 2.391,
|
2127 |
+
"eval_wer": 1.5331312256388048,
|
2128 |
+
"step": 26500
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"epoch": 71.31,
|
2132 |
+
"learning_rate": 3.0354107648725215e-05,
|
2133 |
+
"loss": 1.2885,
|
2134 |
+
"step": 26600
|
2135 |
+
},
|
2136 |
+
{
|
2137 |
+
"epoch": 71.58,
|
2138 |
+
"learning_rate": 3.007082152974504e-05,
|
2139 |
+
"loss": 1.2552,
|
2140 |
+
"step": 26700
|
2141 |
+
},
|
2142 |
+
{
|
2143 |
+
"epoch": 71.85,
|
2144 |
+
"learning_rate": 2.9787535410764872e-05,
|
2145 |
+
"loss": 1.2682,
|
2146 |
+
"step": 26800
|
2147 |
+
},
|
2148 |
+
{
|
2149 |
+
"epoch": 72.12,
|
2150 |
+
"learning_rate": 2.9504249291784702e-05,
|
2151 |
+
"loss": 1.2665,
|
2152 |
+
"step": 26900
|
2153 |
+
},
|
2154 |
+
{
|
2155 |
+
"epoch": 72.39,
|
2156 |
+
"learning_rate": 2.9220963172804532e-05,
|
2157 |
+
"loss": 1.2556,
|
2158 |
+
"step": 27000
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 72.39,
|
2162 |
+
"eval_cer": 0.4109196708642088,
|
2163 |
+
"eval_loss": 0.8242233991622925,
|
2164 |
+
"eval_runtime": 118.9857,
|
2165 |
+
"eval_samples_per_second": 19.347,
|
2166 |
+
"eval_steps_per_second": 2.42,
|
2167 |
+
"eval_wer": 1.4707665656128195,
|
2168 |
+
"step": 27000
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 72.65,
|
2172 |
+
"learning_rate": 2.8937677053824363e-05,
|
2173 |
+
"loss": 1.2125,
|
2174 |
+
"step": 27100
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 72.92,
|
2178 |
+
"learning_rate": 2.8654390934844193e-05,
|
2179 |
+
"loss": 1.2157,
|
2180 |
+
"step": 27200
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 73.19,
|
2184 |
+
"learning_rate": 2.8371104815864023e-05,
|
2185 |
+
"loss": 1.2664,
|
2186 |
+
"step": 27300
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 73.46,
|
2190 |
+
"learning_rate": 2.8087818696883857e-05,
|
2191 |
+
"loss": 1.2075,
|
2192 |
+
"step": 27400
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 73.73,
|
2196 |
+
"learning_rate": 2.7804532577903687e-05,
|
2197 |
+
"loss": 1.2043,
|
2198 |
+
"step": 27500
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 73.73,
|
2202 |
+
"eval_cer": 0.40305496204027824,
|
2203 |
+
"eval_loss": 0.8244912624359131,
|
2204 |
+
"eval_runtime": 118.8221,
|
2205 |
+
"eval_samples_per_second": 19.373,
|
2206 |
+
"eval_steps_per_second": 2.424,
|
2207 |
+
"eval_wer": 1.4469467301862278,
|
2208 |
+
"step": 27500
|
2209 |
+
},
|
2210 |
+
{
|
2211 |
+
"epoch": 73.99,
|
2212 |
+
"learning_rate": 2.7521246458923517e-05,
|
2213 |
+
"loss": 1.2218,
|
2214 |
+
"step": 27600
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 74.26,
|
2218 |
+
"learning_rate": 2.723796033994334e-05,
|
2219 |
+
"loss": 1.2257,
|
2220 |
+
"step": 27700
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 74.53,
|
2224 |
+
"learning_rate": 2.695467422096317e-05,
|
2225 |
+
"loss": 1.1943,
|
2226 |
+
"step": 27800
|
2227 |
+
},
|
2228 |
+
{
|
2229 |
+
"epoch": 74.8,
|
2230 |
+
"learning_rate": 2.6671388101983e-05,
|
2231 |
+
"loss": 1.2292,
|
2232 |
+
"step": 27900
|
2233 |
+
},
|
2234 |
+
{
|
2235 |
+
"epoch": 75.07,
|
2236 |
+
"learning_rate": 2.638810198300283e-05,
|
2237 |
+
"loss": 1.2722,
|
2238 |
+
"step": 28000
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 75.07,
|
2242 |
+
"eval_cer": 0.4095558485247988,
|
2243 |
+
"eval_loss": 0.8202398419380188,
|
2244 |
+
"eval_runtime": 118.3165,
|
2245 |
+
"eval_samples_per_second": 19.456,
|
2246 |
+
"eval_steps_per_second": 2.434,
|
2247 |
+
"eval_wer": 1.4924209614551753,
|
2248 |
+
"step": 28000
|
2249 |
+
},
|
2250 |
+
{
|
2251 |
+
"epoch": 75.33,
|
2252 |
+
"learning_rate": 2.6104815864022665e-05,
|
2253 |
+
"loss": 1.2,
|
2254 |
+
"step": 28100
|
2255 |
+
},
|
2256 |
+
{
|
2257 |
+
"epoch": 75.6,
|
2258 |
+
"learning_rate": 2.5821529745042495e-05,
|
2259 |
+
"loss": 1.1984,
|
2260 |
+
"step": 28200
|
2261 |
+
},
|
2262 |
+
{
|
2263 |
+
"epoch": 75.87,
|
2264 |
+
"learning_rate": 2.5538243626062326e-05,
|
2265 |
+
"loss": 1.204,
|
2266 |
+
"step": 28300
|
2267 |
+
},
|
2268 |
+
{
|
2269 |
+
"epoch": 76.14,
|
2270 |
+
"learning_rate": 2.5254957507082156e-05,
|
2271 |
+
"loss": 1.103,
|
2272 |
+
"step": 28400
|
2273 |
+
},
|
2274 |
+
{
|
2275 |
+
"epoch": 76.41,
|
2276 |
+
"learning_rate": 2.4971671388101983e-05,
|
2277 |
+
"loss": 1.202,
|
2278 |
+
"step": 28500
|
2279 |
+
},
|
2280 |
+
{
|
2281 |
+
"epoch": 76.41,
|
2282 |
+
"eval_cer": 0.37186889121243805,
|
2283 |
+
"eval_loss": 0.8290452361106873,
|
2284 |
+
"eval_runtime": 117.9552,
|
2285 |
+
"eval_samples_per_second": 19.516,
|
2286 |
+
"eval_steps_per_second": 2.442,
|
2287 |
+
"eval_wer": 1.3806842789086184,
|
2288 |
+
"step": 28500
|
2289 |
+
},
|
2290 |
+
{
|
2291 |
+
"epoch": 76.67,
|
2292 |
+
"learning_rate": 2.4691218130311615e-05,
|
2293 |
+
"loss": 1.1915,
|
2294 |
+
"step": 28600
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 76.94,
|
2298 |
+
"learning_rate": 2.4407932011331446e-05,
|
2299 |
+
"loss": 1.1898,
|
2300 |
+
"step": 28700
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 77.21,
|
2304 |
+
"learning_rate": 2.4124645892351276e-05,
|
2305 |
+
"loss": 1.2433,
|
2306 |
+
"step": 28800
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 77.48,
|
2310 |
+
"learning_rate": 2.3841359773371106e-05,
|
2311 |
+
"loss": 1.1887,
|
2312 |
+
"step": 28900
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 77.75,
|
2316 |
+
"learning_rate": 2.3558073654390936e-05,
|
2317 |
+
"loss": 1.1679,
|
2318 |
+
"step": 29000
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 77.75,
|
2322 |
+
"eval_cer": 0.3748693003591399,
|
2323 |
+
"eval_loss": 0.8194963335990906,
|
2324 |
+
"eval_runtime": 117.7002,
|
2325 |
+
"eval_samples_per_second": 19.558,
|
2326 |
+
"eval_steps_per_second": 2.447,
|
2327 |
+
"eval_wer": 1.4097011693373755,
|
2328 |
+
"step": 29000
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 78.02,
|
2332 |
+
"learning_rate": 2.3274787535410767e-05,
|
2333 |
+
"loss": 1.1151,
|
2334 |
+
"step": 29100
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 78.28,
|
2338 |
+
"learning_rate": 2.2991501416430597e-05,
|
2339 |
+
"loss": 1.1638,
|
2340 |
+
"step": 29200
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 78.55,
|
2344 |
+
"learning_rate": 2.2708215297450424e-05,
|
2345 |
+
"loss": 1.1516,
|
2346 |
+
"step": 29300
|
2347 |
+
},
|
2348 |
+
{
|
2349 |
+
"epoch": 78.82,
|
2350 |
+
"learning_rate": 2.2424929178470254e-05,
|
2351 |
+
"loss": 1.1652,
|
2352 |
+
"step": 29400
|
2353 |
+
},
|
2354 |
+
{
|
2355 |
+
"epoch": 79.09,
|
2356 |
+
"learning_rate": 2.2141643059490084e-05,
|
2357 |
+
"loss": 1.1967,
|
2358 |
+
"step": 29500
|
2359 |
+
},
|
2360 |
+
{
|
2361 |
+
"epoch": 79.09,
|
2362 |
+
"eval_cer": 0.30767831977087784,
|
2363 |
+
"eval_loss": 0.8058642148971558,
|
2364 |
+
"eval_runtime": 118.6259,
|
2365 |
+
"eval_samples_per_second": 19.406,
|
2366 |
+
"eval_steps_per_second": 2.428,
|
2367 |
+
"eval_wer": 1.2074491121697704,
|
2368 |
+
"step": 29500
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 79.36,
|
2372 |
+
"learning_rate": 2.1858356940509918e-05,
|
2373 |
+
"loss": 1.1425,
|
2374 |
+
"step": 29600
|
2375 |
+
},
|
2376 |
+
{
|
2377 |
+
"epoch": 79.62,
|
2378 |
+
"learning_rate": 2.1575070821529748e-05,
|
2379 |
+
"loss": 1.1489,
|
2380 |
+
"step": 29700
|
2381 |
+
},
|
2382 |
+
{
|
2383 |
+
"epoch": 79.89,
|
2384 |
+
"learning_rate": 2.1291784702549575e-05,
|
2385 |
+
"loss": 1.136,
|
2386 |
+
"step": 29800
|
2387 |
+
},
|
2388 |
+
{
|
2389 |
+
"epoch": 80.16,
|
2390 |
+
"learning_rate": 2.1008498583569405e-05,
|
2391 |
+
"loss": 1.0913,
|
2392 |
+
"step": 29900
|
2393 |
+
},
|
2394 |
+
{
|
2395 |
+
"epoch": 80.43,
|
2396 |
+
"learning_rate": 2.0725212464589236e-05,
|
2397 |
+
"loss": 1.1241,
|
2398 |
+
"step": 30000
|
2399 |
+
},
|
2400 |
+
{
|
2401 |
+
"epoch": 80.43,
|
2402 |
+
"eval_cer": 0.3270445969904987,
|
2403 |
+
"eval_loss": 0.8137025833129883,
|
2404 |
+
"eval_runtime": 117.4298,
|
2405 |
+
"eval_samples_per_second": 19.603,
|
2406 |
+
"eval_steps_per_second": 2.453,
|
2407 |
+
"eval_wer": 1.2451277609354698,
|
2408 |
+
"step": 30000
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 80.7,
|
2412 |
+
"learning_rate": 2.0441926345609066e-05,
|
2413 |
+
"loss": 1.1314,
|
2414 |
+
"step": 30100
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 80.96,
|
2418 |
+
"learning_rate": 2.0158640226628896e-05,
|
2419 |
+
"loss": 1.1315,
|
2420 |
+
"step": 30200
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 81.23,
|
2424 |
+
"learning_rate": 1.9875354107648726e-05,
|
2425 |
+
"loss": 1.1535,
|
2426 |
+
"step": 30300
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 81.5,
|
2430 |
+
"learning_rate": 1.9592067988668557e-05,
|
2431 |
+
"loss": 1.1567,
|
2432 |
+
"step": 30400
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 81.77,
|
2436 |
+
"learning_rate": 1.931161473087819e-05,
|
2437 |
+
"loss": 1.1414,
|
2438 |
+
"step": 30500
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 81.77,
|
2442 |
+
"eval_cer": 0.3120880120016366,
|
2443 |
+
"eval_loss": 0.8117419481277466,
|
2444 |
+
"eval_runtime": 116.2752,
|
2445 |
+
"eval_samples_per_second": 19.798,
|
2446 |
+
"eval_steps_per_second": 2.477,
|
2447 |
+
"eval_wer": 1.2031182330012993,
|
2448 |
+
"step": 30500
|
2449 |
+
},
|
2450 |
+
{
|
2451 |
+
"epoch": 82.04,
|
2452 |
+
"learning_rate": 1.902832861189802e-05,
|
2453 |
+
"loss": 1.0878,
|
2454 |
+
"step": 30600
|
2455 |
+
},
|
2456 |
+
{
|
2457 |
+
"epoch": 82.31,
|
2458 |
+
"learning_rate": 1.8745042492917846e-05,
|
2459 |
+
"loss": 1.0806,
|
2460 |
+
"step": 30700
|
2461 |
+
},
|
2462 |
+
{
|
2463 |
+
"epoch": 82.57,
|
2464 |
+
"learning_rate": 1.8461756373937677e-05,
|
2465 |
+
"loss": 1.0914,
|
2466 |
+
"step": 30800
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 82.84,
|
2470 |
+
"learning_rate": 1.8178470254957507e-05,
|
2471 |
+
"loss": 1.1274,
|
2472 |
+
"step": 30900
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 83.11,
|
2476 |
+
"learning_rate": 1.7895184135977337e-05,
|
2477 |
+
"loss": 1.132,
|
2478 |
+
"step": 31000
|
2479 |
+
},
|
2480 |
+
{
|
2481 |
+
"epoch": 83.11,
|
2482 |
+
"eval_cer": 0.390053189071237,
|
2483 |
+
"eval_loss": 0.823433518409729,
|
2484 |
+
"eval_runtime": 118.2321,
|
2485 |
+
"eval_samples_per_second": 19.47,
|
2486 |
+
"eval_steps_per_second": 2.436,
|
2487 |
+
"eval_wer": 1.4265915980944133,
|
2488 |
+
"step": 31000
|
2489 |
+
},
|
2490 |
+
{
|
2491 |
+
"epoch": 83.38,
|
2492 |
+
"learning_rate": 1.761189801699717e-05,
|
2493 |
+
"loss": 1.0891,
|
2494 |
+
"step": 31100
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 83.65,
|
2498 |
+
"learning_rate": 1.7328611898016998e-05,
|
2499 |
+
"loss": 1.1041,
|
2500 |
+
"step": 31200
|
2501 |
+
},
|
2502 |
+
{
|
2503 |
+
"epoch": 83.91,
|
2504 |
+
"learning_rate": 1.7045325779036828e-05,
|
2505 |
+
"loss": 1.0895,
|
2506 |
+
"step": 31300
|
2507 |
+
},
|
2508 |
+
{
|
2509 |
+
"epoch": 84.18,
|
2510 |
+
"learning_rate": 1.6762039660056658e-05,
|
2511 |
+
"loss": 1.0966,
|
2512 |
+
"step": 31400
|
2513 |
+
},
|
2514 |
+
{
|
2515 |
+
"epoch": 84.45,
|
2516 |
+
"learning_rate": 1.647875354107649e-05,
|
2517 |
+
"loss": 1.0982,
|
2518 |
+
"step": 31500
|
2519 |
+
},
|
2520 |
+
{
|
2521 |
+
"epoch": 84.45,
|
2522 |
+
"eval_cer": 0.3606855480292767,
|
2523 |
+
"eval_loss": 0.8063952326774597,
|
2524 |
+
"eval_runtime": 119.0446,
|
2525 |
+
"eval_samples_per_second": 19.337,
|
2526 |
+
"eval_steps_per_second": 2.419,
|
2527 |
+
"eval_wer": 1.3711563447379818,
|
2528 |
+
"step": 31500
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 84.72,
|
2532 |
+
"learning_rate": 1.619546742209632e-05,
|
2533 |
+
"loss": 1.0969,
|
2534 |
+
"step": 31600
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 84.99,
|
2538 |
+
"learning_rate": 1.5912181303116146e-05,
|
2539 |
+
"loss": 1.0552,
|
2540 |
+
"step": 31700
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 85.25,
|
2544 |
+
"learning_rate": 1.562889518413598e-05,
|
2545 |
+
"loss": 1.079,
|
2546 |
+
"step": 31800
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 85.52,
|
2550 |
+
"learning_rate": 1.534560906515581e-05,
|
2551 |
+
"loss": 1.0959,
|
2552 |
+
"step": 31900
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 85.79,
|
2556 |
+
"learning_rate": 1.5062322946175638e-05,
|
2557 |
+
"loss": 1.0797,
|
2558 |
+
"step": 32000
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 85.79,
|
2562 |
+
"eval_cer": 0.356184934309224,
|
2563 |
+
"eval_loss": 0.8166823983192444,
|
2564 |
+
"eval_runtime": 117.1158,
|
2565 |
+
"eval_samples_per_second": 19.656,
|
2566 |
+
"eval_steps_per_second": 2.459,
|
2567 |
+
"eval_wer": 1.335643135556518,
|
2568 |
+
"step": 32000
|
2569 |
+
},
|
2570 |
+
{
|
2571 |
+
"epoch": 86.06,
|
2572 |
+
"learning_rate": 1.477903682719547e-05,
|
2573 |
+
"loss": 1.1358,
|
2574 |
+
"step": 32100
|
2575 |
+
},
|
2576 |
+
{
|
2577 |
+
"epoch": 86.33,
|
2578 |
+
"learning_rate": 1.4495750708215297e-05,
|
2579 |
+
"loss": 1.0718,
|
2580 |
+
"step": 32200
|
2581 |
+
},
|
2582 |
+
{
|
2583 |
+
"epoch": 86.59,
|
2584 |
+
"learning_rate": 1.4212464589235127e-05,
|
2585 |
+
"loss": 1.0725,
|
2586 |
+
"step": 32300
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 86.86,
|
2590 |
+
"learning_rate": 1.3929178470254959e-05,
|
2591 |
+
"loss": 1.0705,
|
2592 |
+
"step": 32400
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 87.13,
|
2596 |
+
"learning_rate": 1.364589235127479e-05,
|
2597 |
+
"loss": 1.0119,
|
2598 |
+
"step": 32500
|
2599 |
+
},
|
2600 |
+
{
|
2601 |
+
"epoch": 87.13,
|
2602 |
+
"eval_cer": 0.3267718325226167,
|
2603 |
+
"eval_loss": 0.8214733600616455,
|
2604 |
+
"eval_runtime": 118.8447,
|
2605 |
+
"eval_samples_per_second": 19.37,
|
2606 |
+
"eval_steps_per_second": 2.423,
|
2607 |
+
"eval_wer": 1.2754439151147683,
|
2608 |
+
"step": 32500
|
2609 |
+
},
|
2610 |
+
{
|
2611 |
+
"epoch": 87.4,
|
2612 |
+
"learning_rate": 1.336260623229462e-05,
|
2613 |
+
"loss": 1.0571,
|
2614 |
+
"step": 32600
|
2615 |
+
},
|
2616 |
+
{
|
2617 |
+
"epoch": 87.67,
|
2618 |
+
"learning_rate": 1.3079320113314446e-05,
|
2619 |
+
"loss": 1.0636,
|
2620 |
+
"step": 32700
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 87.93,
|
2624 |
+
"learning_rate": 1.2796033994334278e-05,
|
2625 |
+
"loss": 1.0892,
|
2626 |
+
"step": 32800
|
2627 |
+
},
|
2628 |
+
{
|
2629 |
+
"epoch": 88.2,
|
2630 |
+
"learning_rate": 1.2512747875354109e-05,
|
2631 |
+
"loss": 1.1356,
|
2632 |
+
"step": 32900
|
2633 |
+
},
|
2634 |
+
{
|
2635 |
+
"epoch": 88.47,
|
2636 |
+
"learning_rate": 1.2229461756373939e-05,
|
2637 |
+
"loss": 1.0216,
|
2638 |
+
"step": 33000
|
2639 |
+
},
|
2640 |
+
{
|
2641 |
+
"epoch": 88.47,
|
2642 |
+
"eval_cer": 0.3183615947629222,
|
2643 |
+
"eval_loss": 0.816307008266449,
|
2644 |
+
"eval_runtime": 118.8553,
|
2645 |
+
"eval_samples_per_second": 19.368,
|
2646 |
+
"eval_steps_per_second": 2.423,
|
2647 |
+
"eval_wer": 1.2511909917713295,
|
2648 |
+
"step": 33000
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 88.74,
|
2652 |
+
"learning_rate": 1.1946175637393768e-05,
|
2653 |
+
"loss": 1.0226,
|
2654 |
+
"step": 33100
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 89.01,
|
2658 |
+
"learning_rate": 1.1662889518413598e-05,
|
2659 |
+
"loss": 1.0002,
|
2660 |
+
"step": 33200
|
2661 |
+
},
|
2662 |
+
{
|
2663 |
+
"epoch": 89.28,
|
2664 |
+
"learning_rate": 1.1379603399433428e-05,
|
2665 |
+
"loss": 1.0296,
|
2666 |
+
"step": 33300
|
2667 |
+
},
|
2668 |
+
{
|
2669 |
+
"epoch": 89.54,
|
2670 |
+
"learning_rate": 1.1096317280453258e-05,
|
2671 |
+
"loss": 1.0635,
|
2672 |
+
"step": 33400
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 89.81,
|
2676 |
+
"learning_rate": 1.0813031161473089e-05,
|
2677 |
+
"loss": 1.0375,
|
2678 |
+
"step": 33500
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 89.81,
|
2682 |
+
"eval_cer": 0.3290448697549666,
|
2683 |
+
"eval_loss": 0.8136931657791138,
|
2684 |
+
"eval_runtime": 119.3202,
|
2685 |
+
"eval_samples_per_second": 19.293,
|
2686 |
+
"eval_steps_per_second": 2.414,
|
2687 |
+
"eval_wer": 1.2685145084452143,
|
2688 |
+
"step": 33500
|
2689 |
+
},
|
2690 |
+
{
|
2691 |
+
"epoch": 90.08,
|
2692 |
+
"learning_rate": 1.0529745042492919e-05,
|
2693 |
+
"loss": 1.096,
|
2694 |
+
"step": 33600
|
2695 |
+
},
|
2696 |
+
{
|
2697 |
+
"epoch": 90.35,
|
2698 |
+
"learning_rate": 1.0246458923512749e-05,
|
2699 |
+
"loss": 1.0465,
|
2700 |
+
"step": 33700
|
2701 |
+
},
|
2702 |
+
{
|
2703 |
+
"epoch": 90.62,
|
2704 |
+
"learning_rate": 9.963172804532578e-06,
|
2705 |
+
"loss": 1.0637,
|
2706 |
+
"step": 33800
|
2707 |
+
},
|
2708 |
+
{
|
2709 |
+
"epoch": 90.88,
|
2710 |
+
"learning_rate": 9.679886685552408e-06,
|
2711 |
+
"loss": 1.0514,
|
2712 |
+
"step": 33900
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 91.15,
|
2716 |
+
"learning_rate": 9.396600566572238e-06,
|
2717 |
+
"loss": 0.9794,
|
2718 |
+
"step": 34000
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 91.15,
|
2722 |
+
"eval_cer": 0.32549893167250077,
|
2723 |
+
"eval_loss": 0.8219542503356934,
|
2724 |
+
"eval_runtime": 117.5416,
|
2725 |
+
"eval_samples_per_second": 19.585,
|
2726 |
+
"eval_steps_per_second": 2.45,
|
2727 |
+
"eval_wer": 1.2724122996968386,
|
2728 |
+
"step": 34000
|
2729 |
+
},
|
2730 |
+
{
|
2731 |
+
"epoch": 91.42,
|
2732 |
+
"learning_rate": 9.113314447592068e-06,
|
2733 |
+
"loss": 1.0268,
|
2734 |
+
"step": 34100
|
2735 |
+
},
|
2736 |
+
{
|
2737 |
+
"epoch": 91.69,
|
2738 |
+
"learning_rate": 8.830028328611899e-06,
|
2739 |
+
"loss": 1.0211,
|
2740 |
+
"step": 34200
|
2741 |
+
},
|
2742 |
+
{
|
2743 |
+
"epoch": 91.96,
|
2744 |
+
"learning_rate": 8.546742209631727e-06,
|
2745 |
+
"loss": 1.0557,
|
2746 |
+
"step": 34300
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 92.22,
|
2750 |
+
"learning_rate": 8.26345609065156e-06,
|
2751 |
+
"loss": 1.0814,
|
2752 |
+
"step": 34400
|
2753 |
+
},
|
2754 |
+
{
|
2755 |
+
"epoch": 92.49,
|
2756 |
+
"learning_rate": 7.98016997167139e-06,
|
2757 |
+
"loss": 1.0207,
|
2758 |
+
"step": 34500
|
2759 |
+
},
|
2760 |
+
{
|
2761 |
+
"epoch": 92.49,
|
2762 |
+
"eval_cer": 0.33609128517525116,
|
2763 |
+
"eval_loss": 0.8165063261985779,
|
2764 |
+
"eval_runtime": 117.4538,
|
2765 |
+
"eval_samples_per_second": 19.599,
|
2766 |
+
"eval_steps_per_second": 2.452,
|
2767 |
+
"eval_wer": 1.2906019922044174,
|
2768 |
+
"step": 34500
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 92.76,
|
2772 |
+
"learning_rate": 7.696883852691218e-06,
|
2773 |
+
"loss": 1.0183,
|
2774 |
+
"step": 34600
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 93.03,
|
2778 |
+
"learning_rate": 7.413597733711048e-06,
|
2779 |
+
"loss": 0.9889,
|
2780 |
+
"step": 34700
|
2781 |
+
},
|
2782 |
+
{
|
2783 |
+
"epoch": 93.3,
|
2784 |
+
"learning_rate": 7.130311614730878e-06,
|
2785 |
+
"loss": 1.0047,
|
2786 |
+
"step": 34800
|
2787 |
+
},
|
2788 |
+
{
|
2789 |
+
"epoch": 93.56,
|
2790 |
+
"learning_rate": 6.847025495750709e-06,
|
2791 |
+
"loss": 1.0318,
|
2792 |
+
"step": 34900
|
2793 |
+
},
|
2794 |
+
{
|
2795 |
+
"epoch": 93.83,
|
2796 |
+
"learning_rate": 6.563739376770539e-06,
|
2797 |
+
"loss": 1.0169,
|
2798 |
+
"step": 35000
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 93.83,
|
2802 |
+
"eval_cer": 0.3305450743283175,
|
2803 |
+
"eval_loss": 0.8153378367424011,
|
2804 |
+
"eval_runtime": 118.1425,
|
2805 |
+
"eval_samples_per_second": 19.485,
|
2806 |
+
"eval_steps_per_second": 2.438,
|
2807 |
+
"eval_wer": 1.281940233867475,
|
2808 |
+
"step": 35000
|
2809 |
+
},
|
2810 |
+
{
|
2811 |
+
"epoch": 94.1,
|
2812 |
+
"learning_rate": 6.2804532577903686e-06,
|
2813 |
+
"loss": 1.0584,
|
2814 |
+
"step": 35100
|
2815 |
+
},
|
2816 |
+
{
|
2817 |
+
"epoch": 94.37,
|
2818 |
+
"learning_rate": 5.997167138810199e-06,
|
2819 |
+
"loss": 1.0074,
|
2820 |
+
"step": 35200
|
2821 |
+
},
|
2822 |
+
{
|
2823 |
+
"epoch": 94.64,
|
2824 |
+
"learning_rate": 5.71671388101983e-06,
|
2825 |
+
"loss": 1.0278,
|
2826 |
+
"step": 35300
|
2827 |
+
},
|
2828 |
+
{
|
2829 |
+
"epoch": 94.9,
|
2830 |
+
"learning_rate": 5.433427762039661e-06,
|
2831 |
+
"loss": 1.0251,
|
2832 |
+
"step": 35400
|
2833 |
+
},
|
2834 |
+
{
|
2835 |
+
"epoch": 95.17,
|
2836 |
+
"learning_rate": 5.15014164305949e-06,
|
2837 |
+
"loss": 1.0127,
|
2838 |
+
"step": 35500
|
2839 |
+
},
|
2840 |
+
{
|
2841 |
+
"epoch": 95.17,
|
2842 |
+
"eval_cer": 0.3251807064599718,
|
2843 |
+
"eval_loss": 0.8187472224235535,
|
2844 |
+
"eval_runtime": 117.413,
|
2845 |
+
"eval_samples_per_second": 19.606,
|
2846 |
+
"eval_steps_per_second": 2.453,
|
2847 |
+
"eval_wer": 1.2832394976180164,
|
2848 |
+
"step": 35500
|
2849 |
+
},
|
2850 |
+
{
|
2851 |
+
"epoch": 95.44,
|
2852 |
+
"learning_rate": 4.86685552407932e-06,
|
2853 |
+
"loss": 1.0153,
|
2854 |
+
"step": 35600
|
2855 |
+
},
|
2856 |
+
{
|
2857 |
+
"epoch": 95.71,
|
2858 |
+
"learning_rate": 4.58356940509915e-06,
|
2859 |
+
"loss": 1.0098,
|
2860 |
+
"step": 35700
|
2861 |
+
},
|
2862 |
+
{
|
2863 |
+
"epoch": 95.98,
|
2864 |
+
"learning_rate": 4.300283286118981e-06,
|
2865 |
+
"loss": 1.0034,
|
2866 |
+
"step": 35800
|
2867 |
+
},
|
2868 |
+
{
|
2869 |
+
"epoch": 96.25,
|
2870 |
+
"learning_rate": 4.01699716713881e-06,
|
2871 |
+
"loss": 1.017,
|
2872 |
+
"step": 35900
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 96.51,
|
2876 |
+
"learning_rate": 3.7337110481586406e-06,
|
2877 |
+
"loss": 0.9978,
|
2878 |
+
"step": 36000
|
2879 |
+
},
|
2880 |
+
{
|
2881 |
+
"epoch": 96.51,
|
2882 |
+
"eval_cer": 0.3209528572078011,
|
2883 |
+
"eval_loss": 0.811066746711731,
|
2884 |
+
"eval_runtime": 117.24,
|
2885 |
+
"eval_samples_per_second": 19.635,
|
2886 |
+
"eval_steps_per_second": 2.456,
|
2887 |
+
"eval_wer": 1.2611520138588133,
|
2888 |
+
"step": 36000
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 96.78,
|
2892 |
+
"learning_rate": 3.4504249291784704e-06,
|
2893 |
+
"loss": 1.0111,
|
2894 |
+
"step": 36100
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 97.05,
|
2898 |
+
"learning_rate": 3.1671388101983003e-06,
|
2899 |
+
"loss": 1.0185,
|
2900 |
+
"step": 36200
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 97.32,
|
2904 |
+
"learning_rate": 2.8838526912181305e-06,
|
2905 |
+
"loss": 0.9678,
|
2906 |
+
"step": 36300
|
2907 |
+
},
|
2908 |
+
{
|
2909 |
+
"epoch": 97.59,
|
2910 |
+
"learning_rate": 2.6005665722379608e-06,
|
2911 |
+
"loss": 1.0271,
|
2912 |
+
"step": 36400
|
2913 |
+
},
|
2914 |
+
{
|
2915 |
+
"epoch": 97.85,
|
2916 |
+
"learning_rate": 2.3172804532577906e-06,
|
2917 |
+
"loss": 0.9923,
|
2918 |
+
"step": 36500
|
2919 |
+
},
|
2920 |
+
{
|
2921 |
+
"epoch": 97.85,
|
2922 |
+
"eval_cer": 0.3122243942355776,
|
2923 |
+
"eval_loss": 0.8076378703117371,
|
2924 |
+
"eval_runtime": 116.5522,
|
2925 |
+
"eval_samples_per_second": 19.751,
|
2926 |
+
"eval_steps_per_second": 2.471,
|
2927 |
+
"eval_wer": 1.227804244261585,
|
2928 |
+
"step": 36500
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 98.12,
|
2932 |
+
"learning_rate": 2.0339943342776205e-06,
|
2933 |
+
"loss": 0.9955,
|
2934 |
+
"step": 36600
|
2935 |
+
},
|
2936 |
+
{
|
2937 |
+
"epoch": 98.39,
|
2938 |
+
"learning_rate": 1.7507082152974505e-06,
|
2939 |
+
"loss": 1.0009,
|
2940 |
+
"step": 36700
|
2941 |
+
},
|
2942 |
+
{
|
2943 |
+
"epoch": 98.66,
|
2944 |
+
"learning_rate": 1.4674220963172806e-06,
|
2945 |
+
"loss": 0.9855,
|
2946 |
+
"step": 36800
|
2947 |
+
},
|
2948 |
+
{
|
2949 |
+
"epoch": 98.93,
|
2950 |
+
"learning_rate": 1.1869688385269122e-06,
|
2951 |
+
"loss": 1.0056,
|
2952 |
+
"step": 36900
|
2953 |
+
},
|
2954 |
+
{
|
2955 |
+
"epoch": 99.2,
|
2956 |
+
"learning_rate": 9.036827195467423e-07,
|
2957 |
+
"loss": 1.0451,
|
2958 |
+
"step": 37000
|
2959 |
+
},
|
2960 |
+
{
|
2961 |
+
"epoch": 99.2,
|
2962 |
+
"eval_cer": 0.3155884893394554,
|
2963 |
+
"eval_loss": 0.8086187243461609,
|
2964 |
+
"eval_runtime": 119.7199,
|
2965 |
+
"eval_samples_per_second": 19.228,
|
2966 |
+
"eval_steps_per_second": 2.406,
|
2967 |
+
"eval_wer": 1.2451277609354698,
|
2968 |
+
"step": 37000
|
2969 |
+
},
|
2970 |
+
{
|
2971 |
+
"epoch": 99.46,
|
2972 |
+
"learning_rate": 6.203966005665723e-07,
|
2973 |
+
"loss": 1.0189,
|
2974 |
+
"step": 37100
|
2975 |
+
},
|
2976 |
+
{
|
2977 |
+
"epoch": 99.73,
|
2978 |
+
"learning_rate": 3.371104815864023e-07,
|
2979 |
+
"loss": 0.9878,
|
2980 |
+
"step": 37200
|
2981 |
+
},
|
2982 |
+
{
|
2983 |
+
"epoch": 100.0,
|
2984 |
+
"learning_rate": 5.3824362606232296e-08,
|
2985 |
+
"loss": 0.96,
|
2986 |
+
"step": 37300
|
2987 |
+
},
|
2988 |
+
{
|
2989 |
+
"epoch": 100.0,
|
2990 |
+
"step": 37300,
|
2991 |
+
"total_flos": 1.39626030021533e+20,
|
2992 |
+
"train_loss": 3.7852419735087786,
|
2993 |
+
"train_runtime": 72640.1075,
|
2994 |
+
"train_samples_per_second": 16.45,
|
2995 |
+
"train_steps_per_second": 0.513
|
2996 |
+
}
|
2997 |
+
],
|
2998 |
+
"max_steps": 37300,
|
2999 |
+
"num_train_epochs": 100,
|
3000 |
+
"total_flos": 1.39626030021533e+20,
|
3001 |
+
"trial_name": null,
|
3002 |
+
"trial_params": null
|
3003 |
+
}
|