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update model card README.md

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@@ -13,6 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec_asr_swbd
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  This model is a fine-tuned version of [facebook/wav2vec2-large-robust-ft-swbd-300h](https://huggingface.co/facebook/wav2vec2-large-robust-ft-swbd-300h) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -38,9 +41,23 @@ 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: 1
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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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  # wav2vec_asr_swbd
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  This model is a fine-tuned version of [facebook/wav2vec2-large-robust-ft-swbd-300h](https://huggingface.co/facebook/wav2vec2-large-robust-ft-swbd-300h) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1774
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+ - Wer: 0.3708
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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: 3
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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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+ | 0.7361 | 0.22 | 5000 | 0.4657 | 0.4316 |
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+ | 0.5434 | 0.44 | 10000 | 0.2556 | 0.4127 |
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+ | 0.44 | 0.66 | 15000 | 0.2325 | 0.3935 |
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+ | 0.3722 | 0.88 | 20000 | 0.1902 | 0.3866 |
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+ | 0.4659 | 1.31 | 30000 | 0.3099 | 0.3900 |
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+ | 0.3765 | 1.75 | 40000 | 0.2533 | 0.3829 |
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+ | 0.3123 | 2.19 | 50000 | 0.2009 | 0.3762 |
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+ | 0.3005 | 2.63 | 60000 | 0.1774 | 0.3708 |
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  ### Framework versions
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  - Transformers 4.17.0