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update model card README.md

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@@ -20,8 +20,8 @@ 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 MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - GL dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7654
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- - Wer: 0.5186
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  ## Model description
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@@ -46,16 +46,18 @@ 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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- - lr_scheduler_warmup_steps: 400
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- - num_epochs: 10.0
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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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- | 3.0269 | 3.48 | 400 | 2.9771 | 1.0 |
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- | 2.7902 | 6.96 | 800 | 2.4357 | 0.9989 |
 
 
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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 MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - GL dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1525
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+ - Wer: 0.1542
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 20.0
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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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+ | 3.0067 | 4.35 | 500 | 2.9632 | 1.0 |
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+ | 1.4939 | 8.7 | 1000 | 0.5005 | 0.4157 |
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+ | 0.9982 | 13.04 | 1500 | 0.1967 | 0.1857 |
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+ | 0.8726 | 17.39 | 2000 | 0.1587 | 0.1564 |
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  ### Framework versions