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--- |
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license: apache-2.0 |
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base_model: dima806/music_genres_classification |
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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: music_genres_classification-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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# music_genres_classification-finetuned-gtzan |
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This model is a fine-tuned version of [dima806/music_genres_classification](https://huggingface.co/dima806/music_genres_classification) on the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0028 |
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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: 5 |
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- eval_batch_size: 5 |
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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: 0.12 |
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- num_epochs: 15 |
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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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| 1.5758 | 1.0 | 180 | 1.5756 | 0.52 | |
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| 1.079 | 2.0 | 360 | 1.2787 | 0.6 | |
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| 1.186 | 3.0 | 540 | 1.3863 | 0.58 | |
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| 0.9181 | 4.0 | 720 | 1.3967 | 0.64 | |
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| 0.4356 | 5.0 | 900 | 1.2449 | 0.67 | |
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| 0.4013 | 6.0 | 1080 | 1.2714 | 0.71 | |
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| 0.5518 | 7.0 | 1260 | 0.8282 | 0.8 | |
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| 0.4808 | 8.0 | 1440 | 1.3598 | 0.75 | |
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| 0.3608 | 9.0 | 1620 | 1.1908 | 0.8 | |
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| 0.181 | 10.0 | 1800 | 0.9824 | 0.83 | |
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| 0.0553 | 11.0 | 1980 | 1.0336 | 0.84 | |
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| 0.2445 | 12.0 | 2160 | 1.1085 | 0.83 | |
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| 0.0103 | 13.0 | 2340 | 1.1288 | 0.84 | |
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| 0.2437 | 14.0 | 2520 | 1.0183 | 0.85 | |
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| 0.0921 | 15.0 | 2700 | 1.0028 | 0.87 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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