End of training
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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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:
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- Accuracy: 0.
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## Model description
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 1.5738 | 2.0 | 113 | 1.4564 | 0.68 |
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| 1.2321 | 2.99 | 169 | 1.1535 | 0.74 |
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| 0.9847 | 4.0 | 226 | 0.9799 | 0.74 |
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| 0.8254 | 4.99 | 282 | 0.8700 | 0.78 |
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| 0.6017 | 6.0 | 339 | 0.8466 | 0.74 |
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| 0.631 | 6.99 | 395 | 0.6828 | 0.8 |
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| 0.4887 | 8.0 | 452 | 0.6360 | 0.81 |
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| 0.3798 | 8.99 | 508 | 0.6158 | 0.82 |
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| 0.2427 | 10.0 | 565 | 0.6163 | 0.78 |
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| 0.2077 | 10.99 | 621 | 0.6197 | 0.8 |
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| 0.1506 | 12.0 | 678 | 0.5992 | 0.8 |
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| 0.1467 | 12.99 | 734 | 0.6003 | 0.8 |
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| 0.1967 | 13.88 | 784 | 0.6141 | 0.8 |
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### Framework versions
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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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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: 1.6711
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- Accuracy: 0.81
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## Model description
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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: 1
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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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| 0.0001 | 1.0 | 113 | 1.6711 | 0.81 |
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### Framework versions
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