End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: ntu-spml/distilhubert
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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: distilhubert-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: 0.87
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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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# distilhubert-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: 0.4789
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- Accuracy: 0.87
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.861 | 1.0 | 113 | 1.8226 | 0.5 |
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| 1.1371 | 2.0 | 226 | 1.1963 | 0.67 |
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| 1.0396 | 3.0 | 339 | 1.0023 | 0.71 |
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| 0.6333 | 4.0 | 452 | 0.7816 | 0.77 |
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| 0.5568 | 5.0 | 565 | 0.6050 | 0.84 |
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| 0.3114 | 6.0 | 678 | 0.5370 | 0.84 |
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| 0.1697 | 7.0 | 791 | 0.4822 | 0.84 |
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| 0.085 | 8.0 | 904 | 0.5116 | 0.85 |
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| 0.0867 | 9.0 | 1017 | 0.4796 | 0.85 |
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| 0.0557 | 10.0 | 1130 | 0.4789 | 0.87 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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runs/Feb17_15-46-20_bb585fc321b1/events.out.tfevents.1739808243.bb585fc321b1.1267.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:892a3ffa8bdf23f9a77c60c0a81a3478b5e6d737027a8ec9b05f8a69592061b6
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size 57473
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