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jh-hoo/results2
results2 is a automatic speech recognition model from jh-hoo. 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 |
|---|---|---|---|---|
| 3.1667 | 0.57 | 100 | 4.5022 | 0.9941 |
| 2.8372 | 1.14 | 200 | 3.6561 | 0.9989 |
| 2.8065 | 1.71 | 300 | 3.9712 | 0.9943 |
| 2.7851 | 2.29 | 400 | 3.9929 | 0.9941 |
| 2.7765 | 2.86 | 500 | 4.2525 | 0.9942 |
| 2.7666 | 3.43 | 600 | 4.1306 | 0.9941 |
| 2.7647 | 4.0 | 700 | 4.1459 | 0.9941 |
| 2.7572 | 4.57 | 800 | 4.1862 | 0.9944 |
| 2.7506 | 5.14 | 900 | 4.1974 | 0.9948 |
| 2.7481 | 5.71 | 1000 | 4.3590 | 0.9944 |
| 2.7445 | 6.29 | 1100 | 4.1933 | 0.9942 |
| 2.7475 | 6.86 | 1200 | 4.2083 | 0.9948 |
| 2.7431 | 7.43 | 1300 | 4.1181 | 0.9945 |
| 2.7404 | 8.0 | 1400 | 4.1052 | 0.9944 |
| 2.7387 | 8.57 | 1500 | 4.1345 | 0.9945 |
| 2.7365 | 9.14 | 1600 | 4.0646 | 0.9945 |
| 2.7353 | 9.71 | 1700 | 4.1078 | 0.9945 |