---
language:
- ar
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- generated_from_trainer
datasets:
- custom
model-index:
- name: Whisper large ar - Ali
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper large ar - Ali

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co./openai/whisper-large-v2) on the Custom 11.0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6074
- eval_wer: 53.0123
- eval_runtime: 3174.2433
- eval_samples_per_second: 1.024
- eval_steps_per_second: 0.128
- epoch: 6.0
- step: 5490

## 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: 32
- 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 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1