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 [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: 2.
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 256
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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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: 2.6976
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- Accuracy: 0.0531
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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-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.6297 | 1.0 | 113 | 2.6709 | 0.0619 |
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| 2.6756 | 2.0 | 226 | 2.6744 | 0.0619 |
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| 2.6513 | 3.0 | 339 | 2.6692 | 0.0619 |
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| 2.6578 | 4.0 | 452 | 2.6733 | 0.0619 |
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| 2.5932 | 5.0 | 565 | 2.6724 | 0.0619 |
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| 2.6251 | 6.0 | 678 | 2.6706 | 0.0619 |
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| 2.6301 | 7.0 | 791 | 2.6743 | 0.0619 |
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| 2.6573 | 8.0 | 904 | 2.6879 | 0.0531 |
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| 2.6232 | 9.0 | 1017 | 2.6935 | 0.0619 |
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| 2.6479 | 10.0 | 1130 | 2.6976 | 0.0531 |
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### Framework versions
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model.safetensors
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