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Zhe-chen/wav2vec2-base-timit-demo-google-colab
wav2vec2-base-timit-demo-google-colab is a automatic speech recognition model from Zhe-chen. 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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From the Hugging Face model README
This model is a fine-tuned version of facebook/wav2vec2-base on the timit_asr 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 |
|---|---|---|---|---|
| 3.4394 | 4.0 | 500 | 1.2662 | 0.8530 |
| 0.5192 | 8.0 | 1000 | 0.4308 | 0.4176 |
| 0.1896 | 12.0 | 1500 | 0.4249 | 0.3656 |
| 0.1158 | 16.0 | 2000 | 0.4405 | 0.3583 |
| 0.0791 | 20.0 | 2500 | 0.4949 | 0.3481 |
| 0.0578 | 24.0 | 3000 | 0.4895 | 0.3448 |
| 0.0462 | 28.0 | 3500 | 0.4743 | 0.3355 |