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---
language:
- fi
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Large v3 Fine-Tuned Finnish
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 13.0
type: mozilla-foundation/common_voice_13_0
config: fi
split: test
metrics:
- name: Wer
type: wer
value: 23.016749493833977
---
<!-- 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
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3344
- Wer: 23.0167
## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5817 | 0.42 | 50 | 0.4090 | 37.5023 |
| 0.4669 | 0.84 | 100 | 0.4374 | 35.8274 |
| 0.3154 | 1.26 | 150 | 0.4848 | 39.0484 |
| 0.2192 | 1.68 | 200 | 0.4313 | 34.6954 |
| 0.1985 | 2.1 | 250 | 0.4346 | 34.5205 |
| 0.1125 | 2.52 | 300 | 0.4307 | 32.8640 |
| 0.1039 | 2.94 | 350 | 0.4278 | 31.3271 |
| 0.067 | 3.36 | 400 | 0.4043 | 33.5542 |
| 0.0577 | 3.78 | 450 | 0.3911 | 40.7050 |
| 0.0461 | 4.2 | 500 | 0.3966 | 30.4712 |
| 0.0264 | 4.62 | 550 | 0.3630 | 27.2041 |
| 0.0204 | 5.04 | 600 | 0.3632 | 26.0353 |
| 0.0092 | 5.46 | 650 | 0.3448 | 24.4156 |
| 0.006 | 5.88 | 700 | 0.3284 | 23.9278 |
| 0.002 | 6.3 | 750 | 0.3334 | 23.2836 |
| 0.0019 | 6.72 | 800 | 0.3344 | 23.0167 |
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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