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Update README.md
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README.md
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- wer
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model-index:
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# xls-r-fleurs_zu-run4
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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
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It achieves the following results
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- Wer:
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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| 13.7467 | 0.58 | 100 | 4.7915 | 1.0 |
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| 3.7307 | 1.17 | 200 | 3.0551 | 1.0 |
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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tags:
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- generated_from_trainer
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datasets:
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- google/fleurs
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metrics:
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- wer
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model-index:
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# xls-r-fleurs_zu-run4
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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 FLEURS (zu) dataset.
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It achieves the following results:
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- Wer (Validation): 67.79%
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- Wer (Test): 67.97%
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### Training hyperparameters
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer (Train) |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 13.7467 | 0.58 | 100 | 4.7915 | 1.0 |
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| 3.7307 | 1.17 | 200 | 3.0551 | 1.0 |
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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