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update model card README.md

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@@ -11,15 +11,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-en-in
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- This model is a fine-tuned version of [beinghorizontal/wav2vec2-base-en-in](https://huggingface.co/beinghorizontal/wav2vec2-base-en-in) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.4400
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- - eval_wer: 0.2424
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- - eval_runtime: 28.5705
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- - eval_samples_per_second: 8.365
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- - eval_steps_per_second: 1.05
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- - epoch: 27.78
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- - step: 2500
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  ## Model description
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@@ -45,9 +40,18 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 1000
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- - num_epochs: 100
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.17.0
 
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  # wav2vec2-base-en-in
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+ This model is a fine-tuned version of [beinghorizontal/wav2vec2-base-en-in](https://huggingface.co/beinghorizontal/wav2vec2-base-en-in) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0056
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+ - Wer: 0.9997
 
 
 
 
 
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 2
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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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+ | 29.5423 | 0.63 | 200 | 3.1266 | 0.9997 |
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+ | 3.1063 | 1.26 | 400 | 3.0490 | 0.9997 |
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+ | 3.0009 | 1.89 | 600 | 3.0056 | 0.9997 |
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  ### Framework versions
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  - Transformers 4.17.0