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update model card README.md

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  1. README.md +20 -6
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@@ -14,7 +14,7 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 10.9321
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  - Cer: 1.0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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- - train_batch_size: 8
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  - eval_batch_size: 8
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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: 1000
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- - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | 45.7613 | 13.16 | 500 | 10.9321 | 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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.3118
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  - Cer: 1.0
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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  - eval_batch_size: 8
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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: 100
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | 84.3303 | 0.66 | 50 | 130.9530 | 1.0 |
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+ | 64.9767 | 1.32 | 100 | 68.8796 | 1.0 |
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+ | 37.0917 | 1.97 | 150 | 45.2865 | 1.0 |
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+ | 25.4218 | 2.63 | 200 | 30.4878 | 1.0 |
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+ | 17.2717 | 3.29 | 250 | 19.8824 | 1.0 |
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+ | 11.8684 | 3.95 | 300 | 12.9035 | 1.0 |
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+ | 8.6126 | 4.61 | 350 | 8.8415 | 1.0 |
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+ | 6.2961 | 5.26 | 400 | 6.7646 | 1.0 |
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+ | 5.3769 | 5.92 | 450 | 5.8157 | 1.0 |
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+ | 4.9235 | 6.58 | 500 | 5.4690 | 1.0 |
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+ | 4.7482 | 7.24 | 550 | 5.3682 | 1.0 |
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+ | 4.6603 | 7.89 | 600 | 5.2993 | 1.0 |
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+ | 4.6246 | 8.55 | 650 | 5.3353 | 1.0 |
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+ | 4.6211 | 9.21 | 700 | 5.2908 | 1.0 |
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+ | 4.6024 | 9.87 | 750 | 5.3118 | 1.0 |
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  ### Framework versions