metadata

base_model: openai/whisper-large-v3
datasets:
  - heikal/arabic_call_splitted_7
language:
  - ar
library_name: transformers
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: whisper large-v3 ar resturant 5
    results: []

whisper large-v3 ar resturant 5

This model is a fine-tuned version of openai/whisper-large-v3 on the Arabic calls splitted 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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0