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README.md
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model-index:
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- name: xls-r-asr_af-run1
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results: []
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---
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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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# xls-r-asr_af-run1
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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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It achieves the following results on the evaluation set:
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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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| 11.8837 | 0.22 | 50 | 7.3321 | 1.0 |
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| 4.9879 | 0.44 | 100 | 4.0442 | 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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model-index:
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- name: xls-r-asr_af-run1
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results: []
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datasets:
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- lucas-meyer/asr_af
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---
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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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# xls-r-asr_af-run1
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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 asr_af dataset.
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It achieves the following results on the evaluation set:
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- Wer (Validation): 42.46%
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- Wer (Test): 43.31%
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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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| 11.8837 | 0.22 | 50 | 7.3321 | 1.0 |
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| 4.9879 | 0.44 | 100 | 4.0442 | 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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