---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
base_model: openai/whisper-tiny
model-index:
- name: arabic_speech_ASR_Whisper
  results: []
---

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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8332

## 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: 0.001
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9454        | 1.0   | 400  | 0.9238          |
| 0.846         | 2.0   | 800  | 0.8786          |
| 0.7349        | 3.0   | 1200 | 0.8355          |
| 0.6079        | 4.0   | 1600 | 0.8174          |
| 0.5083        | 5.0   | 2000 | 0.8075          |
| 0.4655        | 6.0   | 2400 | 0.8072          |
| 0.3587        | 7.0   | 2800 | 0.8087          |
| 0.3336        | 8.0   | 3200 | 0.8147          |
| 0.26          | 9.0   | 3600 | 0.8242          |
| 0.2193        | 10.0  | 4000 | 0.8332          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2