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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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base_model: openai/whisper-small |
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model-index: |
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- name: arazn-whisper-small-v2 |
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results: [] |
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datasets: |
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- ahmedheakl/arzen-llm-speech-ds |
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language: |
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- en |
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- ar |
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metrics: |
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- bleu |
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- cer |
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- wer |
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library_name: transformers |
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pipeline_tag: automatic-speech-recognition |
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--- |
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# Model Card for Model ID |
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**Please see paper & code for more information:** |
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- https://github.com/ahmedheakl/arazn-llm |
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- https://arxiv.org/abs/2406.18120 |
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## Citation |
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**BibTeX:** |
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``` |
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@article{heakl2024arzen, |
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title={ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs}, |
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author={Heakl, Ahmed and Zaghloul, Youssef and Ali, Mennatullah and Hossam, Rania and Gomaa, Walid}, |
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journal={arXiv preprint arXiv:2406.18120}, |
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year={2024} |
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} |
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``` |
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## Model Card Authors |
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- Email: ahmed.heakl@ejust.edu.eg |
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- Linkedin: https://linkedin.com/in/ahmed-heakl |
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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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# arazn-whisper-small-v2 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 100 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |