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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: data2vec-audio-base-960h-ft
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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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+ # data2vec-audio-base-960h-ft
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+
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+ This model is a fine-tuned version of [facebook/data2vec-audio-base-960h](https://huggingface.co/facebook/data2vec-audio-base-960h) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0146
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+ - Accuracy: 0.9967
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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: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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_ratio: 0.1
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:--------:|:---------------:|
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+ | 0.1427 | 1.0 | 8558 | 0.9941 | 0.0271 |
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+ | 0.0799 | 2.0 | 17116 | 0.9964 | 0.0154 |
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+ | 0.0889 | 3.0 | 25674 | 0.9967 | 0.0146 |
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+ | 0.0843 | 4.0 | 34232 | 0.9967 | 0.0162 |
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+ | 0.0925 | 5.0 | 42790 | 0.9961 | 0.0151 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.1
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+ - Pytorch 1.11.0+cpu
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+ - Datasets 2.10.1
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+ - Tokenizers 0.12.1