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whisper-tiny-finetuned-gtzan

Audio Classification
Transformers
PyTorch
whisper
Generated from Trainer
Inference Endpoints
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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: whisper-tiny-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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+ # 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: 0.4916
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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: 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: 30
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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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+ | 2.1202 | 1.0 | 57 | 2.0148 | 0.49 |
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+ | 1.4611 | 2.0 | 114 | 1.3965 | 0.62 |
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+ | 0.9725 | 3.0 | 171 | 0.8726 | 0.82 |
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+ | 0.4971 | 4.0 | 228 | 0.7578 | 0.76 |
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+ | 0.2255 | 5.0 | 285 | 0.7502 | 0.74 |
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+ | 0.2803 | 6.0 | 342 | 0.5457 | 0.84 |
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+ | 0.2234 | 7.0 | 399 | 0.7014 | 0.8 |
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+ | 0.0845 | 8.0 | 456 | 0.4250 | 0.89 |
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+ | 0.0395 | 9.0 | 513 | 0.5069 | 0.9 |
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+ | 0.0438 | 10.0 | 570 | 0.4916 | 0.91 |
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+ | 0.0442 | 11.0 | 627 | 0.7312 | 0.86 |
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+ | 0.002 | 12.0 | 684 | 0.4753 | 0.9 |
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+ | 0.0769 | 13.0 | 741 | 0.8024 | 0.86 |
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+ | 0.0015 | 14.0 | 798 | 0.6354 | 0.9 |
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+ | 0.001 | 15.0 | 855 | 0.5665 | 0.91 |
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+ | 0.0008 | 16.0 | 912 | 0.5537 | 0.9 |
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+ | 0.0009 | 17.0 | 969 | 0.6251 | 0.88 |
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+ | 0.0007 | 18.0 | 1026 | 0.6641 | 0.9 |
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+ | 0.0006 | 19.0 | 1083 | 0.5746 | 0.9 |
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+ | 0.0006 | 20.0 | 1140 | 0.5893 | 0.9 |
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+ | 0.0006 | 21.0 | 1197 | 0.5636 | 0.91 |
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+ | 0.0005 | 22.0 | 1254 | 0.5785 | 0.91 |
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+ | 0.0118 | 23.0 | 1311 | 0.5674 | 0.91 |
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+ | 0.0005 | 24.0 | 1368 | 0.5915 | 0.91 |
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+ | 0.0585 | 25.0 | 1425 | 0.5690 | 0.91 |
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+ | 0.0004 | 26.0 | 1482 | 0.6043 | 0.9 |
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+ | 0.008 | 27.0 | 1539 | 0.5911 | 0.91 |
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+ | 0.0208 | 28.0 | 1596 | 0.5973 | 0.91 |
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+ | 0.0004 | 29.0 | 1653 | 0.6009 | 0.91 |
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+ | 0.0004 | 30.0 | 1710 | 0.6035 | 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 4.29.2
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+ - Pytorch 2.0.0
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3