---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-finetuned-maghreb-dialect-detector
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-finetuned-maghreb-dialect-detector

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: 1.4892
- Wer: 67.2099

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.4326        | 3.0770  | 1000 | 1.1722          | 74.2031 |
| 0.0454        | 6.1541  | 2000 | 1.3672          | 68.7769 |
| 0.0097        | 9.2311  | 3000 | 1.4892          | 67.2099 |
| 0.0008        | 12.3082 | 4000 | 1.5572          | 67.4875 |


### Framework versions

- Transformers 4.50.1
- Pytorch 2.6.0+cu126
- Datasets 3.4.1
- Tokenizers 0.21.1