---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: Whisper-medium-Arabic-phoneme-10
  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-10

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: 0.2343

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.815         | 1.0   | 41   | 0.3574          |
| 0.1191        | 2.0   | 82   | 0.2477          |
| 0.0683        | 3.0   | 123  | 0.2215          |
| 0.0374        | 4.0   | 164  | 0.2570          |
| 0.0233        | 5.0   | 205  | 0.2492          |
| 0.0139        | 6.0   | 246  | 0.2441          |
| 0.0054        | 7.0   | 287  | 0.2294          |
| 0.0015        | 8.0   | 328  | 0.2363          |
| 0.0008        | 9.0   | 369  | 0.2335          |
| 0.0006        | 10.0  | 410  | 0.2343          |


### Framework versions

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