|
--- |
|
language: |
|
- eu |
|
license: apache-2.0 |
|
base_model: openai/whisper-large-v2 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Large-V2 Basque |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_13_0 eu |
|
type: mozilla-foundation/common_voice_13_0 |
|
config: eu |
|
split: test |
|
args: eu |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 11.339057880027543 |
|
--- |
|
|
|
<!-- 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-V2 Basque |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_13_0 eu dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3943 |
|
- Wer: 11.3391 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- 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: 500 |
|
- training_steps: 20000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.0355 | 4.01 | 1000 | 0.2616 | 14.8224 | |
|
| 0.0079 | 9.01 | 2000 | 0.2777 | 13.5202 | |
|
| 0.0041 | 14.01 | 3000 | 0.2764 | 12.7364 | |
|
| 0.0047 | 19.0 | 4000 | 0.2932 | 12.6939 | |
|
| 0.004 | 24.0 | 5000 | 0.2969 | 12.7992 | |
|
| 0.0019 | 29.0 | 6000 | 0.3066 | 12.6008 | |
|
| 0.004 | 33.01 | 7000 | 0.2973 | 12.6696 | |
|
| 0.0007 | 38.01 | 8000 | 0.3253 | 12.2686 | |
|
| 0.0006 | 43.01 | 9000 | 0.3391 | 12.5319 | |
|
| 0.0009 | 48.01 | 10000 | 0.3303 | 12.2767 | |
|
| 0.0004 | 53.0 | 11000 | 0.3383 | 12.0195 | |
|
| 0.0003 | 58.0 | 12000 | 0.3398 | 11.7441 | |
|
| 0.0005 | 63.0 | 13000 | 0.3396 | 11.8778 | |
|
| 0.0001 | 67.01 | 14000 | 0.3544 | 11.6469 | |
|
| 0.0 | 72.01 | 15000 | 0.3752 | 11.4160 | |
|
| 0.0 | 77.01 | 16000 | 0.3860 | 11.3411 | |
|
| 0.0 | 82.01 | 17000 | 0.3943 | 11.3391 | |
|
| 0.0 | 87.0 | 18000 | 0.4013 | 11.3532 | |
|
| 0.0 | 92.0 | 19000 | 0.4063 | 11.3613 | |
|
| 0.0 | 97.0 | 20000 | 0.4086 | 11.3512 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
|
## Citation |
|
|
|
If you use these models in your research, please cite: |
|
|
|
```bibtex |
|
@misc{dezuazo2025whisperlmimprovingasrmodels, |
|
title={Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages}, |
|
author={Xabier de Zuazo and Eva Navas and Ibon Saratxaga and Inma Hernáez Rioja}, |
|
year={2025}, |
|
eprint={2503.23542}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL}, |
|
url={https://arxiv.org/abs/2503.23542}, |
|
} |
|
``` |
|
|
|
Please, check the related paper preprint in |
|
[arXiv:2503.23542](https://arxiv.org/abs/2503.23542) |
|
for more details. |
|
|
|
## Licensing |
|
|
|
This model is available under the |
|
[Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0). |
|
You are free to use, modify, and distribute this model as long as you credit |
|
the original creators. |
