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README.md
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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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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ashe194-700/
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# wav2vec2-960h-fine-tuning-2
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer:
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## Model description
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### Training results
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| Training Loss | Epoch
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| No log |
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| No log | 2.0
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| No log |
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| No log |
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### Framework versions
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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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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ashe194-700/facebook-wav-2-vec-fine-tuning/runs/aso83mbs)
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# wav2vec2-960h-fine-tuning-2
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9325
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- Wer: 11.2741
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:-------:|
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| No log | 0.9935 | 76 | 1.3301 | 15.9156 |
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| No log | 2.0 | 153 | 3.8761 | 17.1732 |
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| No log | 2.9935 | 229 | 1.8980 | 13.3403 |
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| No log | 3.9739 | 304 | 0.9325 | 11.2741 |
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### Framework versions
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