---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base-ar-common-fleurs
  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-base-ar-common-fleurs

This model is a fine-tuned version of [MohammedNasri/whisper-base-ar-common-fleurs](https://huggingface.co/MohammedNasri/whisper-base-ar-common-fleurs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3732
- Wer: 57.3788

## 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: 16
- 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: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4132        | 0.39  | 1000 | 0.4356          | 77.2091 |
| 0.3597        | 0.78  | 2000 | 0.3880          | 56.3555 |
| 0.2713        | 1.17  | 3000 | 0.3732          | 57.3788 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1