arazn-whisper-small – AI Model by ahmedheakl | AlphaNeural AI

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ahmedheakl/
arazn-whisper-small

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automatic-speech-recognition

generated_from_trainer

ahmedheakl/arzen-llm-speech-ds

openai/whisper-small

endpoints_compatible

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Please see paper & code for more information:

https://github.com/ahmedheakl/arazn-llm
https://arxiv.org/abs/2406.18120

Citation

BibTeX:

@article{heakl2024arzen,
  title={ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs},
  author={Heakl, Ahmed and Zaghloul, Youssef and Ali, Mennatullah and Hossam, Rania and Gomaa, Walid},
  journal={arXiv preprint arXiv:2406.18120},
  year={2024}
}

Model Card Authors

arazn-whisper-small-v2

This model is a fine-tuned version of openai/whisper-small on the None dataset.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2