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MERTENST/w2v2-libri-10min
w2v2-libri-10min is a automatic speech recognition model from MERTENST. 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 |
|---|---|---|---|---|
| 4.8824 | 62.5 | 250 | 2.9255 | 1.0 |
| 0.7061 | 125.0 | 500 | 1.5759 | 0.6321 |
| 0.066 | 187.5 | 750 | 1.7474 | 0.6183 |
| 0.0326 | 250.0 | 1000 | 1.7446 | 0.6224 |
| 0.0205 | 312.5 | 1250 | 1.8737 | 0.6252 |
| 0.0445 | 375.0 | 1500 | 1.9835 | 0.6210 |
| 0.0084 | 437.5 | 1750 | 1.8829 | 0.6141 |
| 0.0068 | 500.0 | 2000 | 1.9136 | 0.6058 |
| 0.0037 | 562.5 | 2250 | 1.8990 | 0.5864 |
| 0.003 | 625.0 | 2500 | 1.9408 | 0.5837 |