---
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: []
datasets:
- mozilla-foundation/common_voice_13_0
library_name: transformers
pipeline_tag: automatic-speech-recognition
---

<!-- 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: 0.2383
- Wer: 24.6733
  
It achieves the following results on the test set:

- Wer: 17.043990428860667
- normalized_wer: 14.149122000551623

## 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: 4
- total_train_batch_size: 32
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5438        | 0.42  | 50   | 0.2371          | 23.3204 |
| 0.2701        | 0.84  | 100  | 0.2817          | 26.4035 |
| 0.1849        | 1.26  | 150  | 0.2757          | 26.3851 |
| 0.1282        | 1.68  | 200  | 0.2701          | 23.1640 |
| 0.1066        | 2.11  | 250  | 0.2573          | 22.6210 |
| 0.0611        | 2.53  | 300  | 0.2782          | 23.8082 |
| 0.062         | 2.95  | 350  | 0.2611          | 23.0167 |
| 0.033         | 3.37  | 400  | 0.2760          | 23.5321 |
| 0.0315        | 3.79  | 450  | 0.2745          | 25.0874 |
| 0.0194        | 4.21  | 500  | 0.2567          | 20.3111 |
| 0.0119        | 4.63  | 550  | 0.2399          | 24.1119 |
| 0.0085        | 5.05  | 600  | 0.2379          | 22.3541 |
| 0.0026        | 5.47  | 650  | 0.2417          | 21.5995 |
| 0.0025        | 5.89  | 700  | 0.2366          | 22.1701 |
| 0.0009        | 6.32  | 750  | 0.2370          | 24.8297 |
| 0.0006        | 6.74  | 800  | 0.2383          | 24.6733 |


### Framework versions

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