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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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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-genre-classifer-20-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: 0.81 |
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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-genre-classifer-20-finetuned-gtzan |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1602 |
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- Accuracy: 0.81 |
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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: 2e-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: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:| |
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| 2.0297 | 1.0 | 113 | 0.46 | 2.0056 | |
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| 1.6252 | 2.0 | 226 | 0.61 | 1.5821 | |
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| 1.4001 | 3.0 | 339 | 0.62 | 1.3967 | |
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| 1.0201 | 4.0 | 452 | 0.77 | 1.1288 | |
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| 1.0074 | 5.0 | 565 | 0.69 | 1.0933 | |
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| 0.8466 | 6.0 | 678 | 0.76 | 0.9162 | |
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| 0.6966 | 7.0 | 791 | 0.79 | 0.9122 | |
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| 0.5324 | 8.0 | 904 | 0.82 | 0.7715 | |
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| 0.6692 | 9.0 | 1017 | 1.0549 | 0.71 | |
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| 0.7181 | 10.0 | 1130 | 0.8758 | 0.76 | |
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| 0.5585 | 11.0 | 1243 | 1.0753 | 0.7 | |
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| 0.4479 | 12.0 | 1356 | 1.1517 | 0.7 | |
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| 0.3145 | 13.0 | 1469 | 0.8475 | 0.79 | |
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| 0.8197 | 14.0 | 1582 | 0.8852 | 0.78 | |
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| 0.4665 | 15.0 | 1695 | 1.0134 | 0.77 | |
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| 0.2371 | 16.0 | 1808 | 1.0250 | 0.75 | |
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| 0.3823 | 17.0 | 1921 | 0.9516 | 0.81 | |
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| 0.5478 | 18.0 | 2034 | 1.2008 | 0.77 | |
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| 0.3165 | 19.0 | 2147 | 1.0737 | 0.8 | |
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| 0.1403 | 20.0 | 2260 | 0.9801 | 0.83 | |
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| 0.2754 | 21.0 | 2373 | 1.0137 | 0.82 | |
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| 0.2649 | 22.0 | 2486 | 1.2249 | 0.77 | |
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| 0.0686 | 23.0 | 2599 | 1.3234 | 0.77 | |
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| 0.0073 | 24.0 | 2712 | 1.2360 | 0.8 | |
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| 0.0068 | 25.0 | 2825 | 1.1338 | 0.81 | |
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| 0.0058 | 26.0 | 2938 | 1.2976 | 0.79 | |
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| 0.0054 | 27.0 | 3051 | 1.1782 | 0.83 | |
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| 0.0047 | 28.0 | 3164 | 1.0677 | 0.84 | |
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| 0.0045 | 29.0 | 3277 | 1.1128 | 0.83 | |
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| 0.0036 | 30.0 | 3390 | 1.1602 | 0.81 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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