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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice_10_0
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+ model-index:
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+ - name: wav2vec-large-xls-r-300-ha-colab_4
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+ results: []
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # wav2vec-large-xls-r-300-ha-colab_4
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+
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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_10_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8545
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+ - Wer: 0.5860
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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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: 32
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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: 30
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 3.8309 | 5.19 | 400 | 0.9834 | 0.8145 |
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+ | 0.3782 | 10.39 | 800 | 0.7377 | 0.6526 |
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+ | 0.1718 | 15.58 | 1200 | 0.7885 | 0.6293 |
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+ | 0.1017 | 20.77 | 1600 | 0.9308 | 0.6115 |
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+ | 0.0664 | 25.97 | 2000 | 0.8545 | 0.5860 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.11.3
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+ - Pytorch 1.10.0+cu113
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+ - Datasets 2.3.2
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+ - Tokenizers 0.10.3