hf-asr-leaderboard generated_from_trainer

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whisper-kor3_de_all_pure

This model is a fine-tuned version of openai/whisper-small on the whisper-kor3_de_all_pure 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 Cer
1.1711 0.05 100 0.9951 36.7906 18.3518
0.7306 0.09 200 0.7148 32.9732 15.0468
0.5337 0.14 300 0.5650 32.4402 15.4036
0.492 0.18 400 0.5397 32.4546 16.1485
0.4779 0.23 500 0.5196 30.6108 14.1530
0.4501 0.28 600 0.5130 31.3166 14.6783
0.4574 0.32 700 0.4941 32.4978 15.6153
0.4215 0.37 800 0.4920 28.4500 13.0396
0.4574 0.42 900 0.4829 30.4379 14.8704
0.3928 0.46 1000 0.4750 28.1619 12.7024
0.4207 0.51 1100 0.4673 29.3287 13.8550
0.4026 0.55 1200 0.4654 28.7957 13.8393
0.4004 0.6 1300 0.4581 27.9458 14.1726
0.3808 0.65 1400 0.4498 26.7214 12.2319
0.3994 0.69 1500 0.4483 26.7790 12.0751
0.4087 0.74 1600 0.4373 26.3901 12.1496
0.3761 0.78 1700 0.4343 26.6926 11.9771
0.3889 0.83 1800 0.4334 27.3840 12.9651
0.4135 0.88 1900 0.4296 25.9723 12.5417
0.3559 0.92 2000 0.4257 25.3097 11.5537
0.433 0.97 2100 0.4211 25.6410 11.5615
0.2988 1.02 2200 0.4213 25.0648 12.0790
0.221 1.06 2300 0.4241 25.3529 11.2832
0.2657 1.11 2400 0.4218 25.2953 11.4949
0.2538 1.15 2500 0.4205 25.3961 12.1731
0.2398 1.2 2600 0.4202 25.1945 12.0281
0.268 1.25 2700 0.4152 24.8776 11.2165
0.2683 1.29 2800 0.4129 24.9496 11.1734
0.2688 1.34 2900 0.4118 25.0936 11.2793
0.2713 1.39 3000 0.4135 24.5030 11.0754
0.2572 1.43 3100 0.4103 24.7479 11.0793
0.2565 1.48 3200 0.4106 24.5462 11.6360
0.253 1.52 3300 0.4116 24.5462 10.9068
0.2549 1.57 3400 0.4092 24.5895 11.0283
0.2859 1.62 3500 0.4080 24.8920 11.2087
0.236 1.66 3600 0.4062 24.8632 11.1499
0.2422 1.71 3700 0.4051 24.4454 11.0127
0.2441 1.75 3800 0.4050 24.4166 10.9735
0.2694 1.8 3900 0.4041 24.5030 11.0440
0.2311 1.85 4000 0.4036 24.4454 10.9931

Framework versions