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update model card README.md

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  - generated_from_trainer
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  datasets:
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  - common_voice
 
 
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  model-index:
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  - name: wav2vec2-large-xls-r-300m-dutch-fast-colab
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-large-xls-r-300m-dutch-fast-colab
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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 common_voice dataset.
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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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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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 8
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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: 2
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  ### Training results
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  ### Framework versions
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.14.2
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  - Tokenizers 0.13.3
 
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  - generated_from_trainer
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  datasets:
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  - common_voice
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+ metrics:
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+ - wer
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  model-index:
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  - name: wav2vec2-large-xls-r-300m-dutch-fast-colab
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: common_voice
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+ type: common_voice
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+ config: nl
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+ split: test
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+ args: nl
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.9243053012734448
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # wav2vec2-large-xls-r-300m-dutch-fast-colab
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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 common_voice dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4526
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+ - Wer: 0.9243
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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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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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 3
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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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+ | 3.8222 | 1.65 | 400 | 1.4526 | 0.9243 |
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  ### Framework versions
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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  - Tokenizers 0.13.3