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--- |
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tags: |
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- generated_from_trainer |
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base_model: batoula187/wav2vec2-large-xls-r-300m-arabic-colab |
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datasets: |
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- common_voice_12_0 |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-arabic-colab |
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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-large-xls-r-300m-arabic-colab |
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This model is a fine-tuned version of [batoula187/wav2vec2-large-xls-r-300m-arabic-colab](https://huggingface.co/batoula187/wav2vec2-large-xls-r-300m-arabic-colab) on the common_voice_12_0 dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.2731 |
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- eval_wer: 0.5959 |
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- eval_runtime: 94.2795 |
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- eval_samples_per_second: 16.6 |
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- eval_steps_per_second: 2.079 |
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- epoch: 19.6226 |
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- step: 2600 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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