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Adnan666
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Model Details
Model Provider
Adnan666
Model Tree
Adnan666/whisper-small-pashto-run11-cv24only
Input Modalities
Output Modalities
Supported Functionality
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1845 | 0.0080 | 500 | 1.0338 | 50.7937 |
| 0.1866 | 0.0160 | 1000 | 1.0318 | 49.3744 |
| 0.1770 | 0.0240 | 1500 | 1.0183 | 49.3931 |
| 0.1579 | 0.0320 | 2000 | 0.9842 | 49.1317 |
| 0.1726 | 0.0400 | 2500 | 1.0034 | 48.1232 |
| 0.2272 | 0.0480 | 3000 | 1.0191 | 48.8142 |
| 0.1434 | 0.0560 | 3500 | 1.0447 | 49.2997 |
| 0.1544 | 0.0640 | 4000 | 1.0274 | 49.6545 |
| 0.1801 | 0.0720 | 4500 | 1.0476 | 49.6172 |
| 0.1356 | 0.0800 | 5000 | 1.0478 | 50.2334 |
| 0.1549 | 0.0880 | 5500 | 1.0228 | 50.1214 |
| 0.1612 | 0.0960 | 6000 | 1.0229 | 49.4678 |
| 0.1210 | 0.1040 | 6500 | 1.0701 | 50.4575 |
| 0.1522 | 0.1120 | 7000 | 1.0692 | 50.5696 |
| 0.1404 | 0.1200 | 7500 | 1.0634 | 50.1587 |
| 0.1511 | 0.1280 | 8000 | 1.1004 | 51.3725 |
| 0.1131 | 0.1360 | 8500 | 1.0945 | 51.0924 |
| 0.1137 | 0.1440 | 9000 | 1.0897 | 50.2894 |
| 0.1167 | 0.1520 | 9500 | 1.0755 | 50.2894 |
| 0.1174 | 0.1600 | 10000 | 1.0706 | 50.3828 |
| 0.1395 | 0.1680 | 10500 | 1.1012 | 50.9057 |
| 0.0995 | 0.1760 | 11000 | 1.0722 | 49.3744 |
| 0.0995 | 0.1840 | 11500 | 1.1017 | 49.9720 |
| 0.0920 | 0.1920 | 12000 | 1.0705 | 49.1317 |
| 0.0991 | 0.2000 | 12500 | 1.0929 | 50.2148 |
| 0.0967 | 0.2080 | 13000 | 1.0533 | 49.4865 |
| 0.0971 | 0.2160 | 13500 | 1.0681 | 49.2250 |
| 0.1039 | 0.2240 | 14000 | 1.1135 | 50.4949 |
| 0.0949 | 0.2320 | 14500 | 1.0887 | 49.9160 |
| 0.1145 | 0.2400 | 15000 | 1.0695 | 49.3557 |
| 0.0976 | 0.2480 | 15500 | 1.1011 | 49.2810 |
| 0.0879 | 0.2560 | 16000 | 1.1035 | 50.4015 |
| 0.0823 | 0.2640 | 16500 | 1.0848 | 48.9449 |
| 0.0770 | 0.2720 | 17000 | 1.0651 | 48.9636 |
| 0.1408 | 0.2800 | 17500 | 1.0247 | 48.7395 |
| 0.1573 | 0.2880 | 18000 | 1.0124 | 47.9365 |
| 0.1740 | 0.2960 | 18500 | 1.0292 | 49.0756 |
| 0.1393 | 0.3040 | 19000 | 1.0550 | 49.8039 |
| 0.0890 | 0.3120 | 19500 | 1.0722 | 50.3081 |
| 0.1307 | 0.3200 | 20000 | 1.0725 | 50.3828 |
| 0.1499 | 0.3280 | 20500 | 1.0438 | 49.7106 |
| 0.2019 | 0.3360 | 21000 | 1.0669 | 50.8870 |
| 0.2074 | 0.3440 | 21500 | 1.0505 | 50.2334 |
| 0.1095 | 0.3520 | 22000 | 1.0528 | 49.5051 |
| 0.1869 | 0.3600 | 22500 | 1.0591 | 50.3828 |
| 0.1644 | 0.3680 | 23000 | 1.0672 | 50.3081 |
| 0.1174 | 0.3760 | 23500 | 1.0608 | 48.7021 |
| 0.1193 | 0.3840 | 24000 | 1.0600 | 49.1317 |
| 0.1191 | 0.3920 | 24500 | 1.0759 | 49.3557 |
| 0.1641 | 0.4000 | 25000 | 1.0829 | 51.1671 |
| 0.1678 | 0.4080 | 25500 | 1.0730 | 50.0654 |
| 0.1929 | 0.4160 | 26000 | 1.0729 | 50.2148 |
| 0.1218 | 0.4240 | 26500 | 1.0505 | 49.3371 |
| 0.1587 | 0.4320 | 27000 | 1.0698 | 50.1774 |
| 0.1504 | 0.4400 | 27500 | 1.0723 | 50.6069 |
| 0.1593 | 0.4480 | 28000 | 1.0701 | 50.4575 |
| 0.1979 | 0.4560 | 28500 | 1.0573 | 49.8413 |
| 0.1397 | 0.4640 | 29000 | 1.0544 | 49.9907 |
| 0.2017 | 0.4720 | 29500 | 1.0461 | 49.5425 |
| 0.1399 | 0.4800 | 30000 | 1.0747 | 50.5882 |
| 0.2291 | 0.4880 | 30500 | 1.0657 | 50.1027 |
| 0.1023 | 0.4960 | 31000 | 1.0785 | 49.8226 |
| 0.1717 | 0.5040 | 31500 | 1.0795 | 49.8786 |
| 0.2043 | 0.5120 | 32000 | 1.1049 | 51.2232 |
| 0.1535 | 0.5200 | 32500 | 1.0842 | 50.7750 |
| 0.1955 | 0.5280 | 33000 | 1.1005 | 50.9804 |
| 0.1344 | 0.5360 | 33500 | 1.0868 | 50.4202 |
| 0.2221 | 0.5440 | 34000 | 1.1013 | 51.4659 |
| 0.1868 | 0.5520 | 34500 | 1.0843 | 50.9617 |
| 0.1403 | 0.5600 | 35000 | 1.0900 | 50.7003 |
| 0.1597 | 0.5680 | 35500 | 1.1086 | 50.8310 |
| 0.2540 | 0.5760 | 36000 | 1.0954 | 51.7087 |
| 0.2213 | 0.5840 | 36500 | 1.0957 | 51.0738 |
| 0.2066 | 0.5920 | 37000 | 1.0927 | 51.8207 |
| 0.2232 | 0.6000 | 37500 | 1.1023 | 51.5406 |
| 0.2527 | 0.6080 | 38000 | 1.0890 | 52.4743 |
| 0.2195 | 0.6160 | 38500 | 1.0933 | 51.9328 |
| 0.3150 | 0.6240 | 39000 | 1.0884 | 51.1671 |
| 0.2382 | 0.6320 | 39500 | 1.0806 | 51.3352 |
| 0.2781 | 0.6400 | 40000 | 1.0556 | 50.7937 |
| 0.2898 | 0.6480 | 40500 | 1.0677 | 51.5406 |
| 0.2489 | 0.6560 | 41000 | 1.0527 | 50.9804 |
| 0.2538 | 0.6640 | 41500 | 1.0472 | 51.3539 |
| 0.2776 | 0.6720 | 42000 | 1.0488 | 51.1671 |
| 0.3341 | 0.6800 | 42500 | 1.0514 | 51.2045 |
| 0.2494 | 0.6880 | 43000 | 1.0531 | 50.4762 |
| 0.2354 | 0.6960 | 43500 | 1.0477 | 50.2894 |
| 0.2527 | 0.7040 | 44000 | 1.0360 | 49.4118 |
| 0.2135 | 0.7120 | 44500 | 1.0538 | 50.7563 |
| 0.2454 | 0.7200 | 45000 | 1.0504 | 50.6256 |
| 0.2503 | 0.7280 | 45500 | 1.0423 | 49.9533 |
| 0.2650 | 0.7360 | 46000 | 1.0395 | 50.0467 |
| 0.2851 | 0.7440 | 46500 | 1.0388 | 49.8413 |
| 0.2696 | 0.7520 | 47000 | 1.0483 | 50.3641 |
| 0.2750 | 0.7600 | 47500 | 1.0435 | 50.2708 |
| 0.1773 | 0.7680 | 48000 | 1.0602 | 50.4762 |
| 0.2198 | 0.7760 | 48500 | 1.0626 | 50.7190 |
| 0.2892 | 0.7840 | 49000 | 1.0611 | 50.3081 |
| 0.2092 | 0.7920 | 49500 | 1.0693 | 50.7563 |
| 0.3374 | 0.8000 | 50000 | 1.0552 | 50.3641 |
| 0.3071 | 0.8080 | 50500 | 1.0447 | 50.3081 |
| 0.3032 | 0.8160 | 51000 | 1.0396 | 50.2894 |
| 0.2589 | 0.8240 | 51500 | 1.0502 | 49.8226 |
| 0.2477 | 0.8320 | 52000 | 1.0573 | 50.4202 |
| 0.2989 | 0.8400 | 52500 | 1.0596 | 49.9160 |
| 0.2460 | 0.8480 | 53000 | 1.0588 | 50.2148 |
| 0.1791 | 0.8560 | 53500 | 1.0584 | 50.4575 |
| 0.3227 | 0.8640 | 54000 | 1.0605 | 50.3268 |
| 0.2212 | 0.8720 | 54500 | 1.0596 | 50.3828 |
| 0.2266 | 0.8800 | 55000 | 1.0523 | 50.4575 |
| 0.2220 | 0.8880 | 55500 | 1.0543 | 50.1401 |
| 0.2061 | 0.8960 | 56000 | 1.0537 | 49.8413 |
| 0.2136 | 0.9040 | 56500 | 1.0599 | 50.1587 |
| 0.1832 | 0.9120 | 57000 | 1.0554 | 50.0280 |
| 0.2858 | 0.9200 | 57500 | 1.0554 | 50.1027 |
| 0.3202 | 0.9280 | 58000 | 1.0610 | 50.4575 |
| 0.2234 | 0.9360 | 58500 | 1.0608 | 51.0551 |
| 0.2643 | 0.9440 | 59000 | 1.0617 | 50.5696 |
| 0.2868 | 0.9520 | 59500 | 1.0623 | 50.4015 |
| 0.2347 | 0.9600 | 60000 | 1.0614 | 50.4949 |
| 0.3083 | 0.9680 | 60500 | 1.0611 | 50.3641 |
| 0.3428 | 0.9760 | 61000 | 1.0630 | 50.4015 |
| 0.2567 | 0.9840 | 61500 | 1.0628 | 50.5322 |
| 0.2505 | 0.9920 | 62000 | 1.0639 | 50.2334 |