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End of training

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1378
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- - Wer: 0.9999
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  ## Model description
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@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 2.0156 | 0.1165 | 1000 | 0.6725 | 1.0 |
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- | 0.5702 | 0.2330 | 2000 | 0.3316 | 1.0 |
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- | 0.4439 | 0.3494 | 3000 | 0.2593 | 0.9999 |
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- | 0.395 | 0.4659 | 4000 | 0.2196 | 0.9999 |
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- | 0.3442 | 0.5824 | 5000 | 0.1911 | 0.9999 |
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- | 0.3163 | 0.6989 | 6000 | 0.1692 | 0.9999 |
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- | 0.2893 | 0.8153 | 7000 | 0.1516 | 0.9998 |
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- | 0.259 | 0.9318 | 8000 | 0.1378 | 0.9999 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1395
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+ - Wer: 0.2952
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 1.4912 | 0.1165 | 1000 | 0.5497 | 0.7011 |
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+ | 0.5377 | 0.2330 | 2000 | 0.3292 | 0.5364 |
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+ | 0.4343 | 0.3494 | 3000 | 0.2475 | 0.4424 |
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+ | 0.3678 | 0.4659 | 4000 | 0.2145 | 0.4014 |
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+ | 0.3345 | 0.5824 | 5000 | 0.1898 | 0.3774 |
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+ | 0.3029 | 0.6989 | 6000 | 0.1718 | 0.3441 |
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+ | 0.2685 | 0.8153 | 7000 | 0.1517 | 0.3135 |
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+ | 0.2385 | 0.9318 | 8000 | 0.1395 | 0.2952 |
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  ### Framework versions