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update model card README.md
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README.md
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---
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license: apache-2.0
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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-r-asr_af-run7
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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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should probably proofread and complete it, then remove this comment. -->
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# xls-r-asr_af-run7
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5110
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- Wer: 0.3826
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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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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 500
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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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 5.3239 | 1.47 | 250 | 2.9818 | 1.0 |
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| 2.0745 | 2.93 | 500 | 0.9755 | 0.7501 |
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| 0.6289 | 4.4 | 750 | 0.5517 | 0.4898 |
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| 0.3532 | 5.87 | 1000 | 0.4420 | 0.4183 |
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| 0.2247 | 7.33 | 1250 | 0.4679 | 0.3955 |
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| 0.165 | 8.8 | 1500 | 0.5110 | 0.3826 |
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### Framework versions
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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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