End of training
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README.md
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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: distilhubert-music-classifier-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: 0.84
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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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# distilhubert-music-classifier-finetuned-gtzan
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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: 0.5247
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- Accuracy: 0.84
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 2.0214 | 1.0 | 113 | 1.8656 | 0.48 |
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| 1.3724 | 2.0 | 226 | 1.2303 | 0.71 |
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| 1.0513 | 3.0 | 339 | 0.9211 | 0.8 |
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| 0.9033 | 4.0 | 452 | 0.8047 | 0.75 |
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| 0.6432 | 5.0 | 565 | 0.6344 | 0.81 |
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| 0.4077 | 6.0 | 678 | 0.6127 | 0.81 |
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| 0.4496 | 7.0 | 791 | 0.5426 | 0.84 |
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| 0.1941 | 8.0 | 904 | 0.5354 | 0.83 |
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| 0.2694 | 9.0 | 1017 | 0.5288 | 0.84 |
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| 0.1691 | 10.0 | 1130 | 0.5247 | 0.84 |
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### Framework versions
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- Transformers 4.34.0
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- generated_from_trainer
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datasets:
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- marsyas/gtzan
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model-index:
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- name: distilhubert-music-classifier-finetuned-gtzan
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results: []
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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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# distilhubert-music-classifier-finetuned-gtzan
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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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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Framework versions
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- Transformers 4.34.0
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pytorch_model.bin
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training_args.bin
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