Samioman
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whisper-medium-ar

Automatic Speech Recognition

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Whisper Madiam Ar - Sami Abdullah

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 dataset.

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 150
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3

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Safetensors

Model size

764M params

Tensor type

F32

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Automatic Speech Recognition

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openai/whisper-medium

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Evaluation results

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