End of training
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- pytorch_model.bin +1 -1
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: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.
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- Tokenizers 0.13.3
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.84
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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: 0.6073
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- Accuracy: 0.84
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.9996 | 1.0 | 113 | 1.7954 | 0.57 |
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| 1.3157 | 2.0 | 226 | 1.2129 | 0.67 |
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| 0.9375 | 3.0 | 339 | 0.9223 | 0.76 |
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| 0.817 | 4.0 | 452 | 0.8372 | 0.73 |
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| 0.5425 | 5.0 | 565 | 0.7206 | 0.74 |
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| 0.4381 | 6.0 | 678 | 0.6317 | 0.78 |
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| 0.5359 | 7.0 | 791 | 0.5468 | 0.84 |
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| 0.2037 | 8.0 | 904 | 0.5492 | 0.84 |
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| 0.3028 | 9.0 | 1017 | 0.5550 | 0.8 |
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| 0.1674 | 10.0 | 1130 | 0.6073 | 0.84 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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