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--- |
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license: apache-2.0 |
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base_model: vpingale07/distilhubert-v2-v3 |
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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: vpingale07/distilhubert-v2-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: 0.785 |
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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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# vpingale07/distilhubert-v2-finetuned-gtzan |
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This model is a fine-tuned version of [vpingale07/distilhubert-v2-v3](https://huggingface.co/vpingale07/distilhubert-v2-v3) on the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0276 |
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- Accuracy: 0.785 |
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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: 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: 8 |
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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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| 0.4443 | 1.0 | 100 | 0.7764 | 0.745 | |
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| 0.2265 | 2.0 | 200 | 0.8049 | 0.77 | |
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| 0.0928 | 3.0 | 300 | 0.9190 | 0.74 | |
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| 0.0661 | 4.0 | 400 | 0.9776 | 0.765 | |
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| 0.0095 | 5.0 | 500 | 1.0018 | 0.76 | |
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| 0.0069 | 6.0 | 600 | 0.9838 | 0.79 | |
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| 0.0046 | 7.0 | 700 | 1.0447 | 0.78 | |
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| 0.0041 | 8.0 | 800 | 1.0276 | 0.785 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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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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