---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: Whisper-medium-Arabic-phoneme-v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper-medium-Arabic-phoneme-v3

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2355

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0973        | 1.0   | 546  | 0.2571          |
| 0.0419        | 2.0   | 1092 | 0.1942          |
| 0.0257        | 3.0   | 1638 | 0.2018          |
| 0.0334        | 4.0   | 2184 | 0.2066          |
| 0.0313        | 5.0   | 2730 | 0.2133          |
| 0.0169        | 6.0   | 3276 | 0.2063          |
| 0.0116        | 7.0   | 3822 | 0.2086          |
| 0.0042        | 8.0   | 4368 | 0.2185          |
| 0.0031        | 9.0   | 4914 | 0.2284          |
| 0.0019        | 10.0  | 5460 | 0.2355          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0