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README.md
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# wav2vec_asr_swbd
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This model is a fine-tuned version of [facebook/wav2vec2-large-robust-ft-swbd-300h](https://huggingface.co/facebook/wav2vec2-large-robust-ft-swbd-300h) on an unknown dataset.
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## Model description
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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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- lr_scheduler_warmup_steps: 1000
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.17.0
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# wav2vec_asr_swbd
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This model is a fine-tuned version of [facebook/wav2vec2-large-robust-ft-swbd-300h](https://huggingface.co/facebook/wav2vec2-large-robust-ft-swbd-300h) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1774
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- Wer: 0.3708
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## Model description
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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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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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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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| 0.7361 | 0.22 | 5000 | 0.4657 | 0.4316 |
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| 0.5434 | 0.44 | 10000 | 0.2556 | 0.4127 |
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| 0.44 | 0.66 | 15000 | 0.2325 | 0.3935 |
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| 0.3722 | 0.88 | 20000 | 0.1902 | 0.3866 |
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| 0.4659 | 1.31 | 30000 | 0.3099 | 0.3900 |
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| 0.3765 | 1.75 | 40000 | 0.2533 | 0.3829 |
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| 0.3123 | 2.19 | 50000 | 0.2009 | 0.3762 |
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| 0.3005 | 2.63 | 60000 | 0.1774 | 0.3708 |
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### Framework versions
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- Transformers 4.17.0
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