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update model card README.md

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.6821
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- - Accuracy: 0.5914
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  ## Model description
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@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.679 | 0.99 | 39 | 0.6800 | 0.5706 |
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- | 0.6733 | 1.99 | 78 | 0.6946 | 0.5619 |
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- | 0.6629 | 2.99 | 117 | 0.6732 | 0.5882 |
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- | 0.6327 | 3.99 | 156 | 0.6788 | 0.5850 |
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- | 0.6511 | 4.99 | 195 | 0.6770 | 0.5778 |
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- | 0.6419 | 5.99 | 234 | 0.6840 | 0.5802 |
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- | 0.6214 | 6.99 | 273 | 0.6753 | 0.5986 |
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- | 0.623 | 7.99 | 312 | 0.6789 | 0.5970 |
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- | 0.5955 | 8.99 | 351 | 0.6796 | 0.5842 |
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- | 0.5975 | 9.99 | 390 | 0.6821 | 0.5914 |
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  ### Framework versions
 
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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: 0.6753
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+ - Accuracy: 0.5818
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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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+ | 0.678 | 0.99 | 39 | 0.6803 | 0.5730 |
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+ | 0.6698 | 1.99 | 78 | 0.6785 | 0.5810 |
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+ | 0.6622 | 2.99 | 117 | 0.6848 | 0.5746 |
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+ | 0.6636 | 3.99 | 156 | 0.6748 | 0.5866 |
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+ | 0.6464 | 4.99 | 195 | 0.6844 | 0.5650 |
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+ | 0.6508 | 5.99 | 234 | 0.6758 | 0.5738 |
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+ | 0.6385 | 6.99 | 273 | 0.6728 | 0.5738 |
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+ | 0.6317 | 7.99 | 312 | 0.6737 | 0.5690 |
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+ | 0.6279 | 8.99 | 351 | 0.6784 | 0.5722 |
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+ | 0.6273 | 9.99 | 390 | 0.6753 | 0.5818 |
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  ### Framework versions