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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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) 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 hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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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: 0.88
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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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6028
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- Accuracy: 0.88
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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: 3e-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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.0751 | 1.0 | 113 | 2.0343 | 0.6 |
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| 1.5734 | 2.0 | 226 | 1.6338 | 0.58 |
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| 1.3801 | 3.0 | 339 | 1.2674 | 0.7 |
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| 1.0384 | 4.0 | 452 | 1.1376 | 0.68 |
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| 0.973 | 5.0 | 565 | 0.9849 | 0.73 |
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| 1.0033 | 6.0 | 678 | 0.7686 | 0.76 |
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| 0.6347 | 7.0 | 791 | 0.5909 | 0.87 |
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| 0.6537 | 8.0 | 904 | 0.9489 | 0.75 |
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| 0.359 | 9.0 | 1017 | 0.7478 | 0.81 |
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| 0.2268 | 10.0 | 1130 | 0.6247 | 0.84 |
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| 0.2674 | 11.0 | 1243 | 0.6437 | 0.84 |
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| 0.2237 | 12.0 | 1356 | 0.7997 | 0.81 |
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| 0.1418 | 13.0 | 1469 | 0.7738 | 0.84 |
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| 0.1201 | 14.0 | 1582 | 0.5696 | 0.87 |
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| 0.019 | 15.0 | 1695 | 0.8173 | 0.84 |
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| 0.0175 | 16.0 | 1808 | 0.6395 | 0.88 |
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| 0.16 | 17.0 | 1921 | 0.6062 | 0.87 |
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| 0.0137 | 18.0 | 2034 | 0.5422 | 0.9 |
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| 0.0127 | 19.0 | 2147 | 0.6421 | 0.88 |
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| 0.0129 | 20.0 | 2260 | 0.6028 | 0.88 |
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### Framework versions
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model.safetensors
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