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

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: 0.2165

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0978        | 1.0   | 205  | 0.2293          |
| 0.0401        | 2.0   | 410  | 0.1967          |
| 0.0265        | 3.0   | 615  | 0.1954          |
| 0.0293        | 4.0   | 820  | 0.2346          |
| 0.0122        | 5.0   | 1025 | 0.2172          |
| 0.0117        | 6.0   | 1230 | 0.2048          |
| 0.0057        | 7.0   | 1435 | 0.2086          |
| 0.0034        | 8.0   | 1640 | 0.2014          |
| 0.0011        | 9.0   | 1845 | 0.2135          |
| 0.0003        | 10.0  | 2050 | 0.2165          |


### Framework versions

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