---
library_name: transformers
license: apache-2.0
base_model: MKAlbani/whisper-small-ha
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-finetuned
  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-finetuned

This model is a fine-tuned version of [MKAlbani/whisper-small-ha](https://huggingface.co/MKAlbani/whisper-small-ha) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2252
- Wer: 13.5586

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.2256        | 0.1989 | 500  | 0.2817          | 16.8934 |
| 0.175         | 0.3978 | 1000 | 0.2252          | 13.5586 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3