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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
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+ model-index:
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+ - name: wav2vec2-large-xlsr-turkish-demo-colab
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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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+ # wav2vec2-large-xlsr-turkish-demo-colab
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4055
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+ - Wer: 0.4800
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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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+ | 5.0179 | 4.21 | 400 | 1.4935 | 1.0249 |
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+ | 0.7075 | 8.42 | 800 | 0.4546 | 0.6071 |
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+ | 0.3072 | 12.63 | 1200 | 0.3947 | 0.5401 |
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+ | 0.2145 | 16.84 | 1600 | 0.4049 | 0.5194 |
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+ | 0.1647 | 21.05 | 2000 | 0.4199 | 0.5003 |
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+ | 0.1338 | 25.26 | 2400 | 0.4144 | 0.4859 |
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+ | 0.116 | 29.47 | 2800 | 0.4055 | 0.4800 |
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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 1.9.1+cu102
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+ - Datasets 1.13.3
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+ - Tokenizers 0.10.3