---
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: 0.3976
- Wer: 21.4246

It achieves the following results on the Test set:
- Eval_Wer: 21.378612184796612
- Eval_NormalizedWer: 18.415004137170175

## 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: 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0001        | 0.84  | 50   | 0.4009          | 21.6363 |
| 0.0013        | 1.68  | 100  | 0.3801          | 22.5014 |
| 0.0013        | 2.53  | 150  | 0.3852          | 23.2192 |
| 0.0009        | 3.37  | 200  | 0.3738          | 23.1824 |
| 0.0007        | 4.21  | 250  | 0.3697          | 23.2100 |
| 0.0001        | 5.05  | 300  | 0.3777          | 21.9032 |
| 0.0001        | 5.89  | 350  | 0.3825          | 21.8388 |
| 0.0001        | 6.74  | 400  | 0.3864          | 21.7651 |
| 0.0           | 7.58  | 450  | 0.3895          | 21.6455 |
| 0.0           | 8.42  | 500  | 0.3917          | 21.5351 |
| 0.0           | 9.26  | 550  | 0.3936          | 21.4983 |
| 0.0           | 10.11 | 600  | 0.3951          | 21.4338 |
| 0.0           | 10.95 | 650  | 0.3962          | 21.4338 |
| 0.0           | 11.79 | 700  | 0.3970          | 21.4614 |
| 0.0           | 12.63 | 750  | 0.3975          | 21.4338 |
| 0.0           | 13.47 | 800  | 0.3976          | 21.4246 |


### Framework versions

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