---
language:
- sq
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Kaggle
metrics:
- wer
model-index:
- name: Whisper tiny Albanian Test
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Kaggle Albanian
      type: Kaggle
      args: 'config: sq, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 35.183525075949994
---

<!-- 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 tiny Albanian Test

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the Kaggle Albanian dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4063
- Wer: 35.1835

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5598        | 0.24  | 500  | 0.6847          | 55.6153 |
| 0.4449        | 0.49  | 1000 | 0.5154          | 44.8005 |
| 0.3986        | 0.73  | 1500 | 0.4648          | 40.5448 |
| 0.3684        | 0.97  | 2000 | 0.4242          | 37.3848 |
| 0.2517        | 1.22  | 2500 | 0.4143          | 35.9306 |
| 0.2467        | 1.46  | 3000 | 0.4063          | 35.1835 |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2