End of training
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- model.safetensors +1 -1
README.md
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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:
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- Accuracy: 0.2708
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## Model description
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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.
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- num_epochs:
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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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### Framework versions
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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: 2.0748
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- Accuracy: 0.2708
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## Model description
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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: 0.7
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- num_epochs: 14
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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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| 2.4778 | 1.0 | 48 | 2.4807 | 0.0938 |
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| 2.4779 | 2.0 | 96 | 2.4651 | 0.1042 |
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| 2.4751 | 3.0 | 144 | 2.4365 | 0.1042 |
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| 2.3777 | 4.0 | 192 | 2.4187 | 0.1042 |
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| 2.3786 | 5.0 | 240 | 2.4050 | 0.1458 |
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| 2.3754 | 6.0 | 288 | 2.3446 | 0.1458 |
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| 2.1556 | 7.0 | 336 | 2.2284 | 0.2083 |
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| 2.1062 | 8.0 | 384 | 2.1533 | 0.2188 |
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| 2.0081 | 9.0 | 432 | 2.0765 | 0.2292 |
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| 1.813 | 10.0 | 480 | 2.0671 | 0.2083 |
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| 1.74 | 11.0 | 528 | 1.9977 | 0.3021 |
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| 1.4795 | 12.0 | 576 | 2.0588 | 0.2396 |
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| 1.298 | 13.0 | 624 | 2.0652 | 0.3021 |
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| 1.2578 | 14.0 | 672 | 2.0748 | 0.2708 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 94773784
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