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sgonzalezsilot
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whisper-tiny-finetuned-gtzan

Audio Classification
Transformers
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whisper
Generated from Trainer
Eval Results
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README.md ADDED
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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: 0.6142
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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: 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_ratio: 0.1
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+ - num_epochs: 20
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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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+ | 1.7559 | 1.0 | 113 | 1.6022 | 0.57 |
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+ | 0.9793 | 2.0 | 226 | 0.9895 | 0.7 |
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+ | 0.8508 | 3.0 | 339 | 0.6379 | 0.78 |
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+ | 0.5114 | 4.0 | 452 | 0.8367 | 0.72 |
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+ | 0.115 | 5.0 | 565 | 0.4465 | 0.88 |
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+ | 0.0239 | 6.0 | 678 | 0.5796 | 0.85 |
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+ | 0.2095 | 7.0 | 791 | 0.6141 | 0.87 |
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+ | 0.0019 | 8.0 | 904 | 0.5765 | 0.88 |
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+ | 0.0012 | 9.0 | 1017 | 0.5393 | 0.87 |
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+ | 0.0013 | 10.0 | 1130 | 0.5126 | 0.92 |
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+ | 0.0008 | 11.0 | 1243 | 0.4751 | 0.91 |
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+ | 0.0006 | 12.0 | 1356 | 0.5002 | 0.91 |
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+ | 0.0005 | 13.0 | 1469 | 0.4905 | 0.91 |
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+ | 0.0006 | 14.0 | 1582 | 0.5577 | 0.91 |
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+ | 0.0004 | 15.0 | 1695 | 0.6326 | 0.9 |
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+ | 0.0004 | 16.0 | 1808 | 0.6188 | 0.92 |
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+ | 0.0004 | 17.0 | 1921 | 0.6420 | 0.91 |
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+ | 0.0003 | 18.0 | 2034 | 0.5999 | 0.91 |
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+ | 0.0003 | 19.0 | 2147 | 0.6105 | 0.91 |
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+ | 0.0003 | 20.0 | 2260 | 0.6142 | 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 4.41.2
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+ - Pytorch 2.3.0+cu118
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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