| train 661676 lines · val 34622 lines |
| charset: 393 characters (min freq 20) |
| dropped 366 train / 16 val lines containing unspellable characters |
| /home/danial/.cache/claude-worktrees/bagrat-fund-old-scripts/services/ocr-lab/venv/lib/python3.12/site-packages/torch/cuda/__init__.py:829: UserWarning: Can't initialize NVML |
| warnings.warn("Can't initialize NVML") |
| resumed from runs/rec-4script7/init.pt |
| epoch 1 step 200/20665 loss 0.0386 (52s) |
| epoch 1 step 400/20665 loss 0.0387 (104s) |
| epoch 1 step 600/20665 loss 0.0412 (154s) |
| epoch 1 step 800/20665 loss 0.0397 (204s) |
| epoch 1 step 1000/20665 loss 0.0396 (254s) |
| epoch 1 step 1200/20665 loss 0.0380 (303s) |
| epoch 1 step 1400/20665 loss 0.0367 (352s) |
| epoch 1 step 1600/20665 loss 0.0358 (402s) |
| epoch 1 step 1800/20665 loss 0.0353 (452s) |
| epoch 1 step 2000/20665 loss 0.0360 (500s) |
| epoch 1 step 2200/20665 loss 0.0362 (550s) |
| epoch 1 step 2400/20665 loss 0.0365 (599s) |
| epoch 1 step 2600/20665 loss 0.0365 (649s) |
| epoch 1 step 2800/20665 loss 0.0372 (697s) |
| epoch 1 step 3000/20665 loss 0.0372 (746s) |
| epoch 1 step 3200/20665 loss 0.0370 (795s) |
| epoch 1 step 3400/20665 loss 0.0370 (843s) |
| epoch 1 step 3600/20665 loss 0.0371 (892s) |
| epoch 1 step 3800/20665 loss 0.0374 (941s) |
| epoch 1 step 4000/20665 loss 0.0374 (990s) |
| epoch 1 step 4200/20665 loss 0.0372 (1038s) |
| epoch 1 step 4400/20665 loss 0.0373 (1087s) |
| epoch 1 step 4600/20665 loss 0.0370 (1136s) |
| epoch 1 step 4800/20665 loss 0.0371 (1184s) |
| epoch 1 step 5000/20665 loss 0.0371 (1232s) |
| epoch 1 step 5200/20665 loss 0.0370 (1282s) |
| epoch 1 step 5400/20665 loss 0.0370 (1331s) |
| epoch 1 step 5600/20665 loss 0.0371 (1380s) |
| epoch 1 step 5800/20665 loss 0.0371 (1429s) |
| epoch 1 step 6000/20665 loss 0.0370 (1478s) |
| epoch 1 step 6200/20665 loss 0.0368 (1528s) |
| epoch 1 step 6400/20665 loss 0.0367 (1576s) |
| epoch 1 step 6600/20665 loss 0.0366 (1625s) |
| epoch 1 step 6800/20665 loss 0.0366 (1673s) |
| epoch 1 step 7000/20665 loss 0.0367 (1722s) |
| epoch 1 step 7200/20665 loss 0.0367 (1771s) |
| epoch 1 step 7400/20665 loss 0.0368 (1819s) |
| epoch 1 step 7600/20665 loss 0.0367 (1868s) |
| epoch 1 step 7800/20665 loss 0.0366 (1916s) |
| epoch 1 step 8000/20665 loss 0.0366 (1964s) |
| epoch 1 step 8200/20665 loss 0.0365 (2013s) |
| epoch 1 step 8400/20665 loss 0.0365 (2061s) |
| epoch 1 step 8600/20665 loss 0.0365 (2109s) |
| epoch 1 step 8800/20665 loss 0.0365 (2157s) |
| epoch 1 step 9000/20665 loss 0.0364 (2206s) |
| epoch 1 step 9200/20665 loss 0.0363 (2254s) |
| epoch 1 step 9400/20665 loss 0.0363 (2302s) |
| epoch 1 step 9600/20665 loss 0.0362 (2351s) |
| epoch 1 step 9800/20665 loss 0.0362 (2399s) |
| epoch 1 step 10000/20665 loss 0.0361 (2448s) |
| epoch 1 step 10200/20665 loss 0.0361 (2496s) |
| epoch 1 step 10400/20665 loss 0.0362 (2544s) |
| epoch 1 step 10600/20665 loss 0.0362 (2593s) |
| epoch 1 step 10800/20665 loss 0.0363 (2641s) |
| epoch 1 step 11000/20665 loss 0.0363 (2689s) |
| epoch 1 step 11200/20665 loss 0.0363 (2737s) |
| epoch 1 step 11400/20665 loss 0.0362 (2786s) |
| epoch 1 step 11600/20665 loss 0.0364 (2834s) |
| epoch 1 step 11800/20665 loss 0.0363 (2883s) |
| epoch 1 step 12000/20665 loss 0.0363 (2931s) |
| epoch 1 step 12200/20665 loss 0.0364 (2980s) |
| epoch 1 step 12400/20665 loss 0.0365 (3028s) |
| epoch 1 step 12600/20665 loss 0.0364 (3076s) |
| epoch 1 step 12800/20665 loss 0.0364 (3125s) |
| epoch 1 step 13000/20665 loss 0.0363 (3173s) |
| epoch 1 step 13200/20665 loss 0.0363 (3222s) |
| epoch 1 step 13400/20665 loss 0.0363 (3270s) |
| epoch 1 step 13600/20665 loss 0.0363 (3318s) |
| epoch 1 step 13800/20665 loss 0.0361 (3366s) |
| epoch 1 step 14000/20665 loss 0.0363 (3414s) |
| epoch 1 step 14200/20665 loss 0.0362 (3463s) |
| epoch 1 step 14400/20665 loss 0.0362 (3511s) |
| epoch 1 step 14600/20665 loss 0.0361 (3559s) |
| epoch 1 step 14800/20665 loss 0.0362 (3608s) |
| epoch 1 step 15000/20665 loss 0.0362 (3656s) |
| epoch 1 step 15200/20665 loss 0.0362 (3704s) |
| epoch 1 step 15400/20665 loss 0.0361 (3752s) |
| epoch 1 step 15600/20665 loss 0.0362 (3800s) |
| epoch 1 step 15800/20665 loss 0.0362 (3848s) |
| epoch 1 step 16000/20665 loss 0.0361 (3897s) |
| epoch 1 step 16200/20665 loss 0.0361 (3945s) |
| epoch 1 step 16400/20665 loss 0.0360 (3993s) |
| epoch 1 step 16600/20665 loss 0.0360 (4042s) |
| epoch 1 step 16800/20665 loss 0.0360 (4090s) |
| epoch 1 step 17000/20665 loss 0.0359 (4138s) |
| epoch 1 step 17200/20665 loss 0.0359 (4186s) |
| epoch 1 step 17400/20665 loss 0.0358 (4235s) |
| epoch 1 step 17600/20665 loss 0.0358 (4283s) |
| epoch 1 step 17800/20665 loss 0.0358 (4331s) |
| epoch 1 step 18000/20665 loss 0.0358 (4380s) |
| epoch 1 step 18200/20665 loss 0.0358 (4428s) |
| epoch 1 step 18400/20665 loss 0.0357 (4476s) |
| epoch 1 step 18600/20665 loss 0.0356 (4524s) |
| epoch 1 step 18800/20665 loss 0.0356 (4572s) |
| epoch 1 step 19000/20665 loss 0.0356 (4621s) |
| epoch 1 step 19200/20665 loss 0.0357 (4669s) |
| epoch 1 step 19400/20665 loss 0.0357 (4717s) |
| epoch 1 step 19600/20665 loss 0.0357 (4765s) |
| epoch 1 step 19800/20665 loss 0.0357 (4813s) |
| epoch 1 step 20000/20665 loss 0.0356 (4861s) |
| epoch 1 step 20200/20665 loss 0.0357 (4911s) |
| epoch 1 step 20400/20665 loss 0.0356 (4960s) |
| epoch 1 step 20600/20665 loss 0.0356 (5009s) |
| epoch 1/2 loss 0.0356 CER verbatim 0.0106 normalized 0.0104 (5104s) |
| ↑ best CER 0.0104 |
| epoch 2 step 200/20665 loss 0.0284 (49s) |
| epoch 2 step 400/20665 loss 0.0280 (98s) |
| epoch 2 step 600/20665 loss 0.0297 (146s) |
| epoch 2 step 800/20665 loss 0.0287 (194s) |
| epoch 2 step 1000/20665 loss 0.0285 (243s) |
| epoch 2 step 1200/20665 loss 0.0287 (291s) |
| epoch 2 step 1400/20665 loss 0.0292 (339s) |
| epoch 2 step 1600/20665 loss 0.0294 (388s) |
| epoch 2 step 1800/20665 loss 0.0293 (436s) |
| epoch 2 step 2000/20665 loss 0.0300 (484s) |
| epoch 2 step 2200/20665 loss 0.0298 (533s) |
| epoch 2 step 2400/20665 loss 0.0298 (581s) |
| epoch 2 step 2600/20665 loss 0.0295 (629s) |
| epoch 2 step 2800/20665 loss 0.0295 (678s) |
| epoch 2 step 3000/20665 loss 0.0295 (726s) |
| epoch 2 step 3200/20665 loss 0.0299 (774s) |
| epoch 2 step 3400/20665 loss 0.0298 (823s) |
| epoch 2 step 3600/20665 loss 0.0298 (871s) |
| epoch 2 step 3800/20665 loss 0.0299 (920s) |
| epoch 2 step 4000/20665 loss 0.0299 (968s) |
| epoch 2 step 4200/20665 loss 0.0299 (1017s) |
| epoch 2 step 4400/20665 loss 0.0300 (1065s) |
| epoch 2 step 4600/20665 loss 0.0300 (1114s) |
| epoch 2 step 4800/20665 loss 0.0298 (1162s) |
| epoch 2 step 5000/20665 loss 0.0296 (1211s) |
| epoch 2 step 5200/20665 loss 0.0293 (1259s) |
| epoch 2 step 5400/20665 loss 0.0292 (1308s) |
| epoch 2 step 5600/20665 loss 0.0293 (1356s) |
| epoch 2 step 5800/20665 loss 0.0292 (1404s) |
| epoch 2 step 6000/20665 loss 0.0292 (1453s) |
| epoch 2 step 6200/20665 loss 0.0291 (1501s) |
| epoch 2 step 6400/20665 loss 0.0290 (1550s) |
| epoch 2 step 6600/20665 loss 0.0288 (1599s) |
| epoch 2 step 6800/20665 loss 0.0289 (1647s) |
| epoch 2 step 7000/20665 loss 0.0290 (1696s) |
| epoch 2 step 7200/20665 loss 0.0290 (1744s) |
| epoch 2 step 7400/20665 loss 0.0289 (1793s) |
| epoch 2 step 7600/20665 loss 0.0291 (1841s) |
| epoch 2 step 7800/20665 loss 0.0291 (1890s) |
| epoch 2 step 8000/20665 loss 0.0291 (1938s) |
| epoch 2 step 8200/20665 loss 0.0290 (1986s) |
| epoch 2 step 8400/20665 loss 0.0290 (2035s) |
| epoch 2 step 8600/20665 loss 0.0290 (2083s) |
| epoch 2 step 8800/20665 loss 0.0289 (2131s) |
| epoch 2 step 9000/20665 loss 0.0289 (2180s) |
| epoch 2 step 9200/20665 loss 0.0288 (2228s) |
| epoch 2 step 9400/20665 loss 0.0288 (2276s) |
| epoch 2 step 9600/20665 loss 0.0287 (2325s) |
| epoch 2 step 9800/20665 loss 0.0286 (2373s) |
| epoch 2 step 10000/20665 loss 0.0286 (2422s) |
| epoch 2 step 10200/20665 loss 0.0286 (2470s) |
| epoch 2 step 10400/20665 loss 0.0286 (2518s) |
| epoch 2 step 10600/20665 loss 0.0286 (2566s) |
| epoch 2 step 10800/20665 loss 0.0285 (2615s) |
| epoch 2 step 11000/20665 loss 0.0285 (2663s) |
| epoch 2 step 11200/20665 loss 0.0284 (2712s) |
| epoch 2 step 11400/20665 loss 0.0285 (2760s) |
| epoch 2 step 11600/20665 loss 0.0285 (2809s) |
| epoch 2 step 11800/20665 loss 0.0284 (2857s) |
| epoch 2 step 12000/20665 loss 0.0284 (2906s) |
| epoch 2 step 12200/20665 loss 0.0284 (2954s) |
| epoch 2 step 12400/20665 loss 0.0285 (3002s) |
| epoch 2 step 12600/20665 loss 0.0285 (3051s) |
| epoch 2 step 12800/20665 loss 0.0284 (3099s) |
| epoch 2 step 13000/20665 loss 0.0285 (3148s) |
| epoch 2 step 13200/20665 loss 0.0284 (3196s) |
| epoch 2 step 13400/20665 loss 0.0285 (3244s) |
| epoch 2 step 13600/20665 loss 0.0284 (3293s) |
| epoch 2 step 13800/20665 loss 0.0285 (3341s) |
| epoch 2 step 14000/20665 loss 0.0284 (3391s) |
| epoch 2 step 14200/20665 loss 0.0284 (3440s) |
| epoch 2 step 14400/20665 loss 0.0284 (3490s) |
| epoch 2 step 14600/20665 loss 0.0285 (3539s) |
| epoch 2 step 14800/20665 loss 0.0285 (3588s) |
| epoch 2 step 15000/20665 loss 0.0285 (3637s) |
| epoch 2 step 15200/20665 loss 0.0284 (3686s) |
| epoch 2 step 15400/20665 loss 0.0285 (3734s) |
| epoch 2 step 15600/20665 loss 0.0284 (3783s) |
| epoch 2 step 15800/20665 loss 0.0284 (3831s) |
| epoch 2 step 16000/20665 loss 0.0284 (3880s) |
| epoch 2 step 16200/20665 loss 0.0284 (3928s) |
| epoch 2 step 16400/20665 loss 0.0283 (3976s) |
| epoch 2 step 16600/20665 loss 0.0283 (4025s) |
| epoch 2 step 16800/20665 loss 0.0283 (4073s) |
| epoch 2 step 17000/20665 loss 0.0282 (4122s) |
| epoch 2 step 17200/20665 loss 0.0283 (4171s) |
| epoch 2 step 17400/20665 loss 0.0284 (4219s) |
| epoch 2 step 17600/20665 loss 0.0284 (4267s) |
| epoch 2 step 17800/20665 loss 0.0284 (4316s) |
| epoch 2 step 18000/20665 loss 0.0284 (4364s) |
| epoch 2 step 18200/20665 loss 0.0284 (4413s) |
| epoch 2 step 18400/20665 loss 0.0284 (4462s) |
| epoch 2 step 18600/20665 loss 0.0283 (4510s) |
| epoch 2 step 18800/20665 loss 0.0283 (4558s) |
| epoch 2 step 19000/20665 loss 0.0283 (4607s) |
| epoch 2 step 19200/20665 loss 0.0284 (4655s) |
| epoch 2 step 19400/20665 loss 0.0283 (4704s) |
| epoch 2 step 19600/20665 loss 0.0283 (4753s) |
| epoch 2 step 19800/20665 loss 0.0283 (4803s) |
| epoch 2 step 20000/20665 loss 0.0283 (4852s) |
| epoch 2 step 20200/20665 loss 0.0283 (4900s) |
| epoch 2 step 20400/20665 loss 0.0282 (4949s) |
| epoch 2 step 20600/20665 loss 0.0282 (4998s) |
| epoch 2/2 loss 0.0282 CER verbatim 0.0102 normalized 0.0100 (5094s) |
| ↑ best CER 0.0100 |
| done. best normalized CER 0.0100 (gate: ≤ 0.10) |
|
|
