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whisper-tiny-finetuned-gtzan

Audio Classification
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whisper
Generated from Trainer
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny
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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: whisper-tiny-finetuned-gtzan
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+ results:
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+ - task:
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+ name: Audio Classification
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+ type: audio-classification
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+ dataset:
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+ name: GTZAN
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+ type: marsyas/gtzan
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+ config: all
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+ split: train
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+ args: all
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.91
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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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+ # whisper-tiny-finetuned-gtzan
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the GTZAN dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6420
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+ - Accuracy: 0.91
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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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+ - 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: 10
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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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+ | 1.9835 | 0.33 | 37 | 1.4610 | 0.62 |
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+ | 1.5031 | 0.65 | 74 | 1.1531 | 0.63 |
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+ | 1.1644 | 0.98 | 111 | 0.8526 | 0.73 |
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+ | 0.9035 | 1.31 | 148 | 0.8748 | 0.69 |
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+ | 0.7942 | 1.64 | 185 | 0.7811 | 0.78 |
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+ | 0.8435 | 1.96 | 222 | 0.8262 | 0.7 |
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+ | 0.5999 | 2.29 | 259 | 0.6450 | 0.72 |
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+ | 0.6187 | 2.62 | 296 | 0.6616 | 0.79 |
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+ | 0.6329 | 2.95 | 333 | 0.6479 | 0.81 |
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+ | 0.3549 | 3.27 | 370 | 0.6246 | 0.78 |
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+ | 0.3362 | 3.6 | 407 | 0.5348 | 0.81 |
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+ | 0.3329 | 3.93 | 444 | 0.4657 | 0.85 |
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+ | 0.2224 | 4.26 | 481 | 0.4433 | 0.89 |
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+ | 0.208 | 4.58 | 518 | 0.6448 | 0.84 |
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+ | 0.1983 | 4.91 | 555 | 0.6080 | 0.86 |
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+ | 0.1736 | 5.24 | 592 | 0.6201 | 0.86 |
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+ | 0.0976 | 5.57 | 629 | 0.6952 | 0.87 |
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+ | 0.025 | 5.89 | 666 | 0.5872 | 0.9 |
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+ | 0.0509 | 6.22 | 703 | 0.5845 | 0.91 |
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+ | 0.1474 | 6.55 | 740 | 0.6800 | 0.89 |
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+ | 0.0594 | 6.88 | 777 | 0.6280 | 0.87 |
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+ | 0.0023 | 7.2 | 814 | 0.6850 | 0.88 |
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+ | 0.0058 | 7.53 | 851 | 0.6766 | 0.89 |
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+ | 0.023 | 7.86 | 888 | 0.8498 | 0.87 |
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+ | 0.0272 | 8.19 | 925 | 0.7815 | 0.86 |
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+ | 0.0011 | 8.51 | 962 | 0.6570 | 0.9 |
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+ | 0.0012 | 8.84 | 999 | 0.6395 | 0.91 |
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+ | 0.023 | 9.17 | 1036 | 0.6412 | 0.91 |
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+ | 0.0009 | 9.5 | 1073 | 0.6416 | 0.91 |
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+ | 0.001 | 9.82 | 1110 | 0.6420 | 0.91 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.3
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+ - Tokenizers 0.13.3