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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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+ - marsyas/gtzan
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: CTC-based-finetuned-gtzan
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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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+ # CTC-based-finetuned-gtzan
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+
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+ This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7416
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+ - Accuracy: 0.83
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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: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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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: 10
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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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+ | 2.0707 | 1.0 | 57 | 2.0284 | 0.44 |
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+ | 1.6357 | 2.0 | 114 | 1.5908 | 0.59 |
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+ | 1.2311 | 3.0 | 171 | 1.2047 | 0.72 |
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+ | 1.0721 | 4.0 | 228 | 1.0979 | 0.72 |
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+ | 0.7338 | 5.0 | 285 | 0.9138 | 0.8 |
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+ | 0.7419 | 6.0 | 342 | 0.8302 | 0.82 |
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+ | 0.595 | 7.0 | 399 | 0.7976 | 0.81 |
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+ | 0.5258 | 8.0 | 456 | 0.7662 | 0.8 |
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+ | 0.4874 | 9.0 | 513 | 0.7442 | 0.82 |
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+ | 0.4915 | 10.0 | 570 | 0.7416 | 0.83 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.13.3