---
license: apache-2.0
base_model: arun100/whisper-small-uk-1
tags:
- whisper-event
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Small Ukrainian
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: google/fleurs uk_ua
      type: google/fleurs
      config: uk_ua
      split: test
      args: uk_ua
    metrics:
    - name: Wer
      type: wer
      value: 18.684759916492695
---

<!-- 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 Small Ukrainian

This model is a fine-tuned version of [arun100/whisper-small-uk-1](https://huggingface.co/arun100/whisper-small-uk-1) on the google/fleurs uk_ua dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2881
- Wer: 18.6848

## 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: 5e-07
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0191        | 95.0  | 1000 | 0.2881          | 18.6848 |
| 0.0061        | 190.0 | 2000 | 0.3058          | 18.8935 |
| 0.0035        | 285.0 | 3000 | 0.3179          | 19.2276 |
| 0.0025        | 380.0 | 4000 | 0.3263          | 19.4502 |
| 0.0022        | 476.0 | 5000 | 0.3297          | 19.4920 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0