generated_from_trainer

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xlsr-syntesized-turkish-4-hour-hlr

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Wer
6.3817 0.52 100 3.6970 1.0
3.1563 1.04 200 3.0338 1.0
2.0046 1.56 300 0.7680 0.6355
0.5563 2.08 400 0.3654 0.3463
0.3678 2.6 500 0.3055 0.3413
0.3173 3.12 600 0.2524 0.3021
0.2374 3.65 700 0.2030 0.2492
0.2194 4.17 800 0.1930 0.2411
0.1806 4.69 900 0.1653 0.1985
0.1603 5.21 1000 0.1562 0.2021
0.142 5.73 1100 0.1491 0.1820
0.1261 6.25 1200 0.1541 0.1787
0.1146 6.77 1300 0.1425 0.1784
0.1049 7.29 1400 0.1364 0.1803
0.095 7.81 1500 0.1331 0.1675
0.0887 8.33 1600 0.1349 0.1563
0.0772 8.85 1700 0.1330 0.1679
0.0732 9.38 1800 0.1354 0.1513
0.0735 9.9 1900 0.1390 0.1516
0.0701 10.42 2000 0.1530 0.1480
0.0642 10.94 2100 0.1428 0.1461
0.0611 11.46 2200 0.1366 0.1443
0.0584 11.98 2300 0.1485 0.1429
0.0587 12.5 2400 0.1554 0.1448
0.0559 13.02 2500 0.1430 0.1446
0.0502 13.54 2600 0.1448 0.1389
0.0519 14.06 2700 0.1397 0.1415
0.047 14.58 2800 0.1484 0.1403
0.0459 15.1 2900 0.1469 0.1437
0.0436 15.62 3000 0.1491 0.1340
0.039 16.15 3100 0.1521 0.1395
0.0406 16.67 3200 0.1513 0.1345
0.0391 17.19 3300 0.1483 0.1359
0.0376 17.71 3400 0.1487 0.1363
0.0383 18.23 3500 0.1478 0.1329
0.0394 18.75 3600 0.1486 0.1347
0.0361 19.27 3700 0.1480 0.1337
0.0342 19.79 3800 0.1491 0.1312

Framework versions