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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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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: wav2vec2-large-xls-r-300m-dm32
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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-xls-r-300m-dm32
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5208
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+ - Accuracy: 0.7292
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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: 0.0001
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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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+ - 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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+ - num_epochs: 22
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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 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 2.41 | 34 | 0.6848 | 0.5833 |
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+ | No log | 4.83 | 68 | 0.6879 | 0.5833 |
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+ | No log | 7.28 | 102 | 0.6892 | 0.6042 |
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+ | 0.7202 | 9.69 | 136 | 0.6809 | 0.5833 |
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+ | 0.7202 | 12.14 | 170 | 0.6712 | 0.6042 |
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+ | 0.7202 | 14.55 | 204 | 0.5907 | 0.7708 |
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+ | 0.6991 | 16.97 | 238 | 0.7485 | 0.6875 |
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+ | 0.6991 | 19.41 | 272 | 0.5756 | 0.7083 |
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+ | 0.6991 | 21.83 | 306 | 0.5208 | 0.7292 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.16.2
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+ - Pytorch 1.10.0+cu111
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+ - Datasets 1.18.3
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+ - Tokenizers 0.11.0