End of training
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README.md
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown 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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### 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: 24
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- eval_batch_size: 24
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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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### Framework versions
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8656
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- Accuracy: 0.0665
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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: 0.001
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- train_batch_size: 24
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- eval_batch_size: 24
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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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| 3.7043 | 1.0 | 527 | 3.9874 | 0.0430 |
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| 3.6973 | 2.0 | 1055 | 3.8656 | 0.0665 |
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| 3.6275 | 3.0 | 1582 | 4.3487 | 0.0104 |
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| 3.4852 | 4.0 | 2110 | 4.1588 | 0.0525 |
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| 3.8932 | 5.0 | 2637 | 3.8819 | 0.0627 |
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| 3.9246 | 6.0 | 3165 | 3.8627 | 0.0627 |
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| 3.8914 | 7.0 | 3692 | 3.8517 | 0.0627 |
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### Framework versions
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model.safetensors
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runs/Mar05_19-53-17_ki-g0009/events.out.tfevents.1709682630.ki-g0009
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size 40
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