---
language:
- az
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- seyidov579/azerbaijan
metrics:
- wer
model-index:
- name: Whisper Tiny Az - Kenan Seyidov
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 13.0
      type: seyidov579/azerbaijan
      config: az_az
      split: test
      args: 'config: az, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 100.0
---

<!-- 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 Az - Kenan Seyidov

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5260
- Wer: 100.0

## 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: 8
- 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: 4000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer   |
|:-------------:|:------:|:----:|:---------------:|:-----:|
| 0.0           | 1000.0 | 1000 | 2.3577          | 100.0 |
| 0.0           | 2000.0 | 2000 | 2.4623          | 100.0 |
| 0.0           | 3000.0 | 3000 | 2.5096          | 100.0 |
| 0.0           | 4000.0 | 4000 | 2.5260          | 100.0 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3