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End of training

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README.md CHANGED
@@ -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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9871
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- - Accuracy: 0.6166
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  ## Model description
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@@ -53,22 +53,22 @@ 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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- | 6.417 | 0.9455 | 13 | 1.5926 | 0.2771 |
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- | 6.3309 | 1.9636 | 27 | 1.5075 | 0.3072 |
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- | 5.6183 | 2.9818 | 41 | 1.3704 | 0.4111 |
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- | 5.14 | 4.0 | 55 | 1.2656 | 0.4850 |
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- | 4.9801 | 4.9455 | 68 | 1.1981 | 0.5104 |
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- | 4.5219 | 5.9636 | 82 | 1.1474 | 0.5566 |
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- | 4.3619 | 6.9818 | 96 | 1.0990 | 0.5889 |
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- | 3.9786 | 8.0 | 110 | 1.0779 | 0.5751 |
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- | 3.814 | 8.9455 | 123 | 1.0425 | 0.6120 |
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- | 3.7944 | 9.9636 | 137 | 1.0393 | 0.5935 |
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- | 3.5764 | 10.9818 | 151 | 1.0298 | 0.6005 |
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- | 3.412 | 12.0 | 165 | 1.0193 | 0.6051 |
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- | 3.3527 | 12.9455 | 178 | 1.0004 | 0.6074 |
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- | 3.305 | 13.9636 | 192 | 0.9965 | 0.6028 |
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- | 3.212 | 14.9818 | 206 | 0.9871 | 0.6166 |
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- | 3.212 | 15.1273 | 208 | 0.9871 | 0.6143 |
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9645
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+ - Accuracy: 0.6605
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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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+ | 6.4375 | 0.9455 | 13 | 1.5888 | 0.2864 |
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+ | 6.3195 | 1.9636 | 27 | 1.4956 | 0.3303 |
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+ | 5.5946 | 2.9818 | 41 | 1.3432 | 0.4296 |
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+ | 5.1778 | 4.0 | 55 | 1.2428 | 0.4896 |
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+ | 4.8878 | 4.9455 | 68 | 1.1755 | 0.5219 |
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+ | 4.4526 | 5.9636 | 82 | 1.1291 | 0.5612 |
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+ | 4.2637 | 6.9818 | 96 | 1.1010 | 0.5843 |
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+ | 3.92 | 8.0 | 110 | 1.0861 | 0.5889 |
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+ | 3.7452 | 8.9455 | 123 | 1.0428 | 0.6051 |
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+ | 3.6307 | 9.9636 | 137 | 1.0306 | 0.6351 |
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+ | 3.4254 | 10.9818 | 151 | 0.9944 | 0.6467 |
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+ | 3.1453 | 12.0 | 165 | 0.9931 | 0.6328 |
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+ | 3.2321 | 12.9455 | 178 | 0.9595 | 0.6582 |
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+ | 3.0323 | 13.9636 | 192 | 0.9593 | 0.6490 |
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+ | 2.9844 | 14.9818 | 206 | 0.9645 | 0.6605 |
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+ | 2.9844 | 15.1273 | 208 | 0.9652 | 0.6605 |
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  ### Framework versions
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