---
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: []
---

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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: 0.6028

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7473        | 1.0   | 300  | 0.6873          |
| 0.5487        | 2.0   | 600  | 0.6098          |
| 0.4391        | 3.0   | 900  | 0.5909          |
| 0.3461        | 4.0   | 1200 | 0.5766          |
| 0.3315        | 5.0   | 1500 | 0.5552          |
| 0.2339        | 6.0   | 1800 | 0.5694          |
| 0.1609        | 7.0   | 2100 | 0.5699          |
| 0.1236        | 8.0   | 2400 | 0.5879          |
| 0.0898        | 9.0   | 2700 | 0.5915          |
| 0.0607        | 10.0  | 3000 | 0.6028          |


### Framework versions

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