End of training
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README.md
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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model-index:
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- name: xls_1b_decoding_fr_decoding_test
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results: []
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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/danakal/xls_300m_french_data/runs/cf8f5rsv)
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# xls_1b_decoding_fr_decoding_test
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on
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## Model description
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.43.0.dev0
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: xls_1b_decoding_fr_decoding_test
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results: []
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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/danakal/xls_300m_french_data/runs/cf8f5rsv)
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# xls_1b_decoding_fr_decoding_test
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 14.6705
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- Wer: 1.0
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## Model description
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.43.0.dev0
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