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update model card README.md

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  1. README.md +22 -12
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@@ -16,7 +16,7 @@ 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 common_voice dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 21.9388
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  - Wer: 1.0
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  ## Model description
@@ -42,23 +42,33 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | 18.7839 | 0.5 | 1 | 32.5547 | 1.0 |
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- | 19.4045 | 1.0 | 2 | 32.5547 | 1.0 |
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- | 19.6279 | 1.5 | 3 | 31.8850 | 1.0 |
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- | 17.7216 | 2.0 | 4 | 31.1082 | 1.0 |
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- | 17.3103 | 2.5 | 5 | 31.1082 | 1.0 |
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- | 17.2026 | 3.0 | 6 | 29.9666 | 1.0 |
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- | 16.7911 | 3.5 | 7 | 28.5444 | 1.0 |
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- | 13.7364 | 4.0 | 8 | 25.7932 | 1.0 |
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- | 13.1602 | 4.5 | 9 | 23.4634 | 1.0 |
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- | 12.9439 | 5.0 | 10 | 21.9388 | 1.0 |
 
 
 
 
 
 
 
 
 
 
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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 common_voice dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.9375
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  - Wer: 1.0
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  ## Model description
 
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | 19.0933 | 1.0 | 2 | 32.5547 | 1.0 |
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+ | 18.6757 | 2.0 | 4 | 31.0408 | 1.0 |
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+ | 17.1649 | 3.0 | 6 | 29.5776 | 1.0 |
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+ | 14.7415 | 4.0 | 8 | 22.9183 | 1.0 |
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+ | 11.8071 | 5.0 | 10 | 17.5073 | 1.0 |
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+ | 9.7675 | 6.0 | 12 | 14.1743 | 1.0 |
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+ | 8.4193 | 7.0 | 14 | 12.1225 | 1.0 |
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+ | 7.4746 | 8.0 | 16 | 10.7446 | 1.0 |
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+ | 6.8442 | 9.0 | 18 | 9.7949 | 1.0 |
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+ | 6.3765 | 10.0 | 20 | 9.1148 | 1.0 |
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+ | 6.0321 | 11.0 | 22 | 8.5934 | 1.0 |
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+ | 5.7783 | 12.0 | 24 | 8.1983 | 1.0 |
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+ | 5.5827 | 13.0 | 26 | 7.8780 | 1.0 |
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+ | 5.4249 | 14.0 | 28 | 7.6288 | 1.0 |
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+ | 5.3088 | 15.0 | 30 | 7.4279 | 1.0 |
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+ | 5.2078 | 16.0 | 32 | 7.2688 | 1.0 |
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+ | 5.1289 | 17.0 | 34 | 7.1459 | 1.0 |
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+ | 5.0697 | 18.0 | 36 | 7.0528 | 1.0 |
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+ | 5.0227 | 19.0 | 38 | 6.9835 | 1.0 |
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+ | 4.9853 | 20.0 | 40 | 6.9375 | 1.0 |
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  ### Framework versions