---
language:
- hi
base_model: openai/whisper-largev2
tags:
- generated_from_trainer
model-index:
- name: 'Whisper Small ar - Ali '
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Whisper Small ar - Ali 

This model is a fine-tuned version of [openai/whisper-largev2](https://huggingface.co./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