---
language:
- sq
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_Albanian
metrics:
- wer
model-index:
- name: Whisper tiny Albanian Test
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 16 Albanian
      type: mozilla-foundation/common_voice_16_Albanian
      args: 'config: sq, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 57.736939090592166
---

<!-- 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-base](https://huggingface.co/openai/whisper-base) on the Common Voice 16 Albanian dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6337
- Wer: 57.7369

## 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: 2500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8378        | 0.24  | 500  | 0.9927          | 77.2125 |
| 0.6385        | 0.49  | 1000 | 0.7570          | 66.3803 |
| 0.5949        | 0.73  | 1500 | 0.6877          | 60.9592 |
| 0.549         | 0.97  | 2000 | 0.6461          | 58.7106 |
| 0.4715        | 1.22  | 2500 | 0.6337          | 57.7369 |


### Framework versions

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