aihimanshu
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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: 2.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.8 | 3 | 2.
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| No log | 1.87 | 7 | 2.
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.
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- Tokenizers 0.15.0
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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: 2.6599
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- Accuracy: 0.0708
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.8 | 3 | 2.6602 | 0.0531 |
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| No log | 1.87 | 7 | 2.6599 | 0.0708 |
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| 2.5691 | 2.93 | 11 | 2.6508 | 0.0619 |
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| 2.5691 | 4.0 | 15 | 2.6602 | 0.0531 |
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| 2.5691 | 4.8 | 18 | 2.6644 | 0.0619 |
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| 2.5488 | 5.87 | 22 | 2.6599 | 0.0619 |
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| 2.5488 | 6.93 | 26 | 2.6591 | 0.0708 |
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| 2.5227 | 8.0 | 30 | 2.6616 | 0.0708 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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