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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: wav2vec2-xls-r-300m-ar |
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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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# wav2vec2-xls-r-300m-ar |
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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: 0.3212 |
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- Wer: 0.0636 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- training_steps: 10000 |
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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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| 0.0793 | 8.85 | 1000 | 0.1626 | 0.0786 | |
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| 0.0396 | 17.7 | 2000 | 0.2199 | 0.0807 | |
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| 0.0285 | 26.55 | 3000 | 0.2289 | 0.0694 | |
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| 0.021 | 35.4 | 4000 | 0.2662 | 0.0722 | |
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| 0.0177 | 44.25 | 5000 | 0.2459 | 0.0744 | |
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| 0.0155 | 53.1 | 6000 | 0.2689 | 0.0679 | |
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| 0.0149 | 61.95 | 7000 | 0.2760 | 0.0717 | |
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| 0.0074 | 70.8 | 8000 | 0.3004 | 0.0680 | |
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| 0.0058 | 79.65 | 9000 | 0.3113 | 0.0650 | |
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| 0.0033 | 88.5 | 10000 | 0.3212 | 0.0636 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.1.dev0 |
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- Tokenizers 0.13.2 |
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