This model is a fine-tuned version of openai/whisper-medium on the fleurs 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 |
|---|---|---|---|---|
| 1.4728 | 14.29 | 100 | 1.4429 | 83.5942 |
| 1.0344 | 28.57 | 200 | 1.1584 | 69.9706 |
| 0.9318 | 42.86 | 300 | 1.1061 | 67.8394 |
| 0.8882 | 57.14 | 400 | 1.0769 | 66.4290 |
| 0.8609 | 71.43 | 500 | 1.0575 | 66.1965 |
| 0.8262 | 85.71 | 600 | 1.0214 | 63.6274 |
| 0.7989 | 100.0 | 700 | 1.0063 | 63.1053 |
pytorch_model.bin 3.1 GBtraining_args.bin 3.6 kB