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update model card README.md
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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 audiofolder 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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### Framework versions
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- Transformers 4.27.
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- Pytorch 1.11.0+cu102
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5263
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- Accuracy: 0.9727
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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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| 2.2881 | 1.0 | 22 | 2.2690 | 0.2273 |
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| 2.2234 | 2.0 | 44 | 2.1631 | 0.2273 |
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| 1.9756 | 3.0 | 66 | 1.9277 | 0.5182 |
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| 1.7191 | 4.0 | 88 | 1.6293 | 0.6818 |
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| 1.4663 | 5.0 | 110 | 1.3919 | 0.7545 |
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| 1.27 | 6.0 | 132 | 1.1689 | 0.8182 |
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| 1.1112 | 7.0 | 154 | 1.0144 | 0.8364 |
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| 0.9623 | 8.0 | 176 | 0.9137 | 0.8545 |
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| 0.8764 | 9.0 | 198 | 0.7901 | 0.8909 |
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| 0.7776 | 10.0 | 220 | 0.7229 | 0.8727 |
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| 0.7266 | 11.0 | 242 | 0.6335 | 0.9 |
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| 0.6379 | 12.0 | 264 | 0.5848 | 0.9636 |
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| 0.6121 | 13.0 | 286 | 0.5509 | 0.9273 |
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| 0.5732 | 14.0 | 308 | 0.5263 | 0.9727 |
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| 0.5579 | 15.0 | 330 | 0.5221 | 0.9727 |
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### Framework versions
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- Transformers 4.27.2
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- Pytorch 1.11.0+cu102
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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