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alslqk/wav2vec2-base-timit-demo-colab
wav2vec2-base-timit-demo-colab is a automatic speech recognition model from alslqk. 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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.safetensors378 MB · 100%
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 |
|---|---|---|---|---|
| 3.364 | 4.0 | 500 | 1.2339 | 0.9609 |
| 0.5751 | 8.0 | 1000 | 0.4374 | 0.4287 |
| 0.2175 | 12.0 | 1500 | 0.4184 | 0.3809 |
| 0.1281 | 16.0 | 2000 | 0.4357 | 0.3720 |
| 0.0889 | 20.0 | 2500 | 0.4152 | 0.3481 |
| 0.0604 | 24.0 | 3000 | 0.4518 | 0.3447 |
| 0.0471 | 28.0 | 3500 | 0.4374 | 0.3392 |