This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4346 | 5.01 | 50 | 0.3902 | 49.6797 |
| 0.0728 | 11.0 | 100 | 0.3811 | 40.7379 |
| 0.009 | 16.02 | 150 | 0.4924 | 39.5081 |
| 0.0028 | 22.0 | 200 | 0.5309 | 38.7394 |
| 0.0008 | 27.02 | 250 | 0.5687 | 38.6369 |
| 0.0006 | 33.01 | 300 | 0.5859 | 39.0213 |
| 0.0005 | 38.02 | 350 | 0.5954 | 39.0981 |
| 0.0005 | 44.01 | 400 | 0.5991 | 39.0469 |
pytorch_model.bin 967 MBtraining_args.bin 3.5 kB