Model save
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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 audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.5557 | 5.0 | 40 | 1.5532 | 0.2593 |
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| 1.5415 | 6.0 | 48 | 1.5401 | 0.4815 |
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| 1.5285 | 7.0 | 56 | 1.5282 | 0.7037 |
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| 1.5172 | 8.0 | 64 | 1.5175 | 0.7778 |
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| 1.5074 | 9.0 | 72 | 1.5080 | 0.8519 |
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| 1.4975 | 10.0 | 80 | 1.4998 | 0.8519 |
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| 1.4906 | 11.0 | 88 | 1.4928 | 0.9259 |
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| 1.4844 | 12.0 | 96 | 1.4870 | 0.9259 |
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| 1.4788 | 13.0 | 104 | 1.4825 | 0.9630 |
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| 1.4744 | 14.0 | 112 | 1.4793 | 0.9630 |
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| 1.4718 | 15.0 | 120 | 1.4773 | 0.9630 |
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| 1.4704 | 16.0 | 128 | 1.4766 | 0.9630 |
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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: 0.5925925925925926
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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 audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5784
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- Accuracy: 0.5926
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-08
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.5752 | 1.0 | 8 | 1.5789 | 0.5926 |
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| 1.5753 | 2.0 | 16 | 1.5787 | 0.5926 |
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| 1.5744 | 3.0 | 24 | 1.5786 | 0.5926 |
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| 1.5739 | 4.0 | 32 | 1.5784 | 0.5926 |
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### Framework versions
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model.safetensors
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