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webshell/wav2vec2-base-fine-tune-timit
wav2vec2-base-fine-tune-timit is a automatic speech recognition model from webshell. 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. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. 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 |
|---|---|---|---|---|
| 3.6487 | 4.0 | 500 | 1.9065 | 1.0411 |
| 0.8742 | 8.0 | 1000 | 0.4658 | 0.4720 |
| 0.3084 | 12.0 | 1500 | 0.4367 | 0.4010 |
| 0.1825 | 16.0 | 2000 | 0.4403 | 0.3817 |
| 0.1334 | 20.0 | 2500 | 0.4577 | 0.3625 |
| 0.1114 | 24.0 | 3000 | 0.4456 | 0.3537 |
| 0.0835 | 28.0 | 3500 | 0.4451 | 0.3422 |