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update model card README.md

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@@ -4,6 +4,8 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - superb
 
 
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  model-index:
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  - name: wav2vec2-base-finetuned-ks
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  results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-finetuned-ks
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
 
 
 
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  ## Model description
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@@ -44,6 +49,17 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_ratio: 0.1
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  - num_epochs: 5
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  ### Framework versions
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  - Transformers 4.11.3
 
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  - generated_from_trainer
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  datasets:
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  - superb
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: wav2vec2-base-finetuned-ks
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  results: []
 
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  # wav2vec2-base-finetuned-ks
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0894
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+ - Accuracy: 0.9828
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  ## Model description
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  - lr_scheduler_warmup_ratio: 0.1
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  - num_epochs: 5
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 0.5003 | 1.0 | 399 | 0.9643 | 0.4284 |
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+ | 0.1868 | 2.0 | 798 | 0.9748 | 0.1628 |
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+ | 0.1413 | 3.0 | 1197 | 0.9796 | 0.1128 |
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+ | 0.0965 | 4.0 | 1596 | 0.0950 | 0.9826 |
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+ | 0.0915 | 5.0 | 1995 | 0.0894 | 0.9828 |
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+
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  ### Framework versions
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  - Transformers 4.11.3