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whisper-large-v2-arabic – AI Model by Kn1ght0 | AlphaNeural AI

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Kn1ght0/
whisper-large-v2-arabic

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automatic-speech-recognition

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Whisper Small ar - Ali

This model is a fine-tuned version of openai/whisper-largev2 on the Ground truth 1 dataset. It achieves the following results on the evaluation set:

eval_loss: 1.7677
eval_wer: 79.7688
eval_runtime: 12.142
eval_samples_per_second: 0.824
eval_steps_per_second: 0.165
epoch: 14.0
step: 84

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1