---
language:
- fi
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large v3 Fine-Tuned Finnish - CommonVoice13
  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 Large v3 Fine-Tuned Finnish - CommonVoice13

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3858
- Wer: 21.6363
 
It achieves the following results on the Test set:
- Eval_Wer: 21.636296705319342
- Eval_NormalizedWer: 18.727590328215502

## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 50
- training_steps: 800
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0049        | 0.84  | 50   | 0.4045          | 27.8851 |
| 0.0264        | 1.68  | 100  | 0.4482          | 29.3852 |
| 0.0189        | 2.53  | 150  | 0.4076          | 26.6980 |
| 0.0129        | 3.37  | 200  | 0.3772          | 24.5905 |
| 0.0087        | 4.21  | 250  | 0.3875          | 25.5108 |
| 0.0054        | 5.05  | 300  | 0.3754          | 24.9034 |
| 0.0035        | 5.89  | 350  | 0.3742          | 23.5505 |
| 0.0014        | 6.74  | 400  | 0.3823          | 23.4677 |
| 0.0014        | 7.58  | 450  | 0.3914          | 23.5781 |
| 0.0012        | 8.42  | 500  | 0.3771          | 22.3173 |
| 0.0007        | 9.26  | 550  | 0.3812          | 21.8756 |
| 0.0002        | 10.11 | 600  | 0.3812          | 21.7191 |
| 0.0002        | 10.95 | 650  | 0.3825          | 21.6547 |
| 0.0001        | 11.79 | 700  | 0.3844          | 21.6363 |
| 0.0001        | 12.63 | 750  | 0.3854          | 21.5995 |
| 0.0001        | 13.47 | 800  | 0.3858          | 21.6363 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0