|
--- |
|
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: 0.3318 |
|
- Wer: 25.9893 |
|
|
|
## 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: 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 1.3591 | 0.42 | 50 | 0.3653 | 32.0541 | |
|
| 0.4623 | 0.84 | 100 | 0.4383 | 35.4316 | |
|
| 0.3229 | 1.26 | 150 | 0.4386 | 35.3672 | |
|
| 0.2538 | 1.68 | 200 | 0.4324 | 34.4929 | |
|
| 0.1972 | 2.11 | 250 | 0.4287 | 34.4561 | |
|
| 0.1194 | 2.53 | 300 | 0.4235 | 33.6094 | |
|
| 0.1132 | 2.95 | 350 | 0.3826 | 30.1767 | |
|
| 0.0669 | 3.37 | 400 | 0.4073 | 33.0941 | |
|
| 0.0614 | 3.79 | 450 | 0.3869 | 29.5233 | |
|
| 0.0435 | 4.21 | 500 | 0.3942 | 30.1859 | |
|
| 0.032 | 4.63 | 550 | 0.3839 | 27.9404 | |
|
| 0.0184 | 5.05 | 600 | 0.3571 | 25.7500 | |
|
| 0.0094 | 5.47 | 650 | 0.3477 | 25.8605 | |
|
| 0.0055 | 5.89 | 700 | 0.3371 | 26.6243 | |
|
| 0.0026 | 6.32 | 750 | 0.3329 | 25.4463 | |
|
| 0.0015 | 6.74 | 800 | 0.3318 | 25.9893 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|
