---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: Whisper-medium-Arabic-phoneme-5
  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-medium-Arabic-phoneme-5

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2774

## 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 21   | 1.7386          |
| 2.7841        | 2.0   | 42   | 0.3929          |
| 0.4966        | 3.0   | 63   | 0.3452          |
| 0.0748        | 4.0   | 84   | 0.3248          |
| 0.0616        | 5.0   | 105  | 0.2732          |
| 0.0339        | 6.0   | 126  | 0.2862          |
| 0.0339        | 7.0   | 147  | 0.2728          |
| 0.0128        | 8.0   | 168  | 0.2729          |
| 0.0048        | 9.0   | 189  | 0.2764          |
| 0.0022        | 10.0  | 210  | 0.2774          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0