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README.md
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 8 | 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.1+cu118
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- Datasets 2.
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3550
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- Accuracy: 0.8727
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 8 | 0.6840 | 0.6 |
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| 0.6867 | 2.0 | 16 | 0.6780 | 0.6364 |
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| 0.6742 | 3.0 | 24 | 0.6601 | 0.6182 |
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| 0.6446 | 4.0 | 32 | 0.6294 | 0.6364 |
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| 0.6299 | 5.0 | 40 | 0.6002 | 0.6727 |
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| 0.6299 | 6.0 | 48 | 0.5755 | 0.7091 |
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| 0.6021 | 7.0 | 56 | 0.5530 | 0.7273 |
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| 0.5678 | 8.0 | 64 | 0.5036 | 0.8182 |
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| 0.5512 | 9.0 | 72 | 0.4753 | 0.8545 |
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| 0.4784 | 10.0 | 80 | 0.4184 | 0.9273 |
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| 0.4784 | 11.0 | 88 | 0.4102 | 0.8909 |
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| 0.4515 | 12.0 | 96 | 0.4444 | 0.8182 |
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| 0.4878 | 13.0 | 104 | 0.3780 | 0.9091 |
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| 0.4418 | 14.0 | 112 | 0.4570 | 0.8 |
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| 0.4746 | 15.0 | 120 | 0.3870 | 0.8545 |
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| 0.4746 | 16.0 | 128 | 0.3932 | 0.8364 |
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| 0.4226 | 17.0 | 136 | 0.2779 | 0.9636 |
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| 0.4301 | 18.0 | 144 | 0.3125 | 0.9455 |
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| 0.3482 | 19.0 | 152 | 0.3212 | 0.9091 |
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| 0.3611 | 20.0 | 160 | 0.3925 | 0.8364 |
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| 0.3611 | 21.0 | 168 | 0.3389 | 0.8909 |
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| 0.3507 | 22.0 | 176 | 0.3099 | 0.8727 |
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| 0.3241 | 23.0 | 184 | 0.3120 | 0.8727 |
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| 0.2533 | 24.0 | 192 | 0.2313 | 0.9455 |
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| 0.2466 | 25.0 | 200 | 0.3550 | 0.8727 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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