This model is a fine-tuned version of openai/whisper-base on the google/fleurs ps_af 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 |
|---|---|---|---|---|
| 1.8225 | 14.29 | 100 | 1.7608 | 105.3193 |
| 0.7281 | 28.57 | 200 | 1.0742 | 69.6126 |
| 0.2329 | 42.86 | 300 | 1.1192 | 67.0248 |
| 0.0247 | 57.14 | 400 | 1.3495 | 66.3741 |
| 0.0057 | 71.43 | 500 | 1.5055 | 67.2896 |
pytorch_model.bin 290 MBtraining_args.bin 3.6 kB