This model is a fine-tuned version of openai/whisper-large-v3 on the heikal/arabic_call_splitted_6and7 dataset. It achieves the following results on the evaluation set:

Loss: 1.6293
Wer: 64.3505

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: 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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0004	111.1111	1000	1.6293	64.3505

Framework versions

Transformers 4.46.0
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1

heikal/whisper-large-v3-ar-resturant-6

whisper-large-v3-ar-resturant-6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

heikal/
whisper-large-v3-ar-resturant-6