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Sagicc/whisper-base-sr
whisper-base-sr is a automatic speech recognition model from Sagicc. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors290 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of openai/whisper-base. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.4839 | 0.03 | 500 | 0.4684 | 0.5407 | 0.4170 |
| 0.4084 | 0.05 | 1000 | 0.3948 | 0.4578 | 0.3559 |
| 0.3873 | 0.08 | 1500 | 0.3690 | 0.4276 | 0.3260 |
| 0.3562 | 0.11 | 2000 | 0.3450 | 0.4129 | 0.3117 |
| 0.3233 | 0.13 | 2500 | 0.3293 | 0.3935 | 0.2912 |
| 0.313 | 0.16 | 3000 | 0.3232 | 0.3887 | 0.2861 |
| 0.3062 | 0.19 | 3500 | 0.3158 | 0.3866 | 0.2851 |
| 0.3154 | 0.22 | 4000 | 0.3129 | 0.3801 | 0.2789 |