---
language:
- ar
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ardj5.2
  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. -->

# ardj5.2

This model is a fine-tuned version of [faissalb/whisper-small-ardj5.1](https://huggingface.co/faissalb/whisper-small-ardj5.1) on the test dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2645
- Wer: 10.7393

## 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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 6000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0157        | 2.15  | 1000 | 0.2628          | 10.7443 |
| 0.0079        | 4.3   | 2000 | 0.2637          | 10.9840 |
| 0.0092        | 6.44  | 3000 | 0.2635          | 10.7842 |
| 0.0094        | 8.59  | 4000 | 0.2634          | 10.7892 |
| 0.0039        | 10.74 | 5000 | 0.2639          | 10.7692 |
| 0.0051        | 12.89 | 6000 | 0.2645          | 10.7393 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3