|
--- |
|
language: |
|
- gl |
|
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 Galician |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_13_0 gl |
|
type: mozilla-foundation/common_voice_13_0 |
|
config: gl |
|
split: test |
|
args: gl |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 5.987858719646799 |
|
--- |
|
|
|
<!-- 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 Galician |
|
|
|
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 gl dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3601 |
|
- Wer: 5.9879 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 0.0185 | 4.01 | 1000 | 0.1896 | 6.3569 | |
|
| 0.0067 | 9.01 | 2000 | 0.2083 | 6.3862 | |
|
| 0.0038 | 14.01 | 3000 | 0.2291 | 6.4621 | |
|
| 0.0022 | 19.01 | 4000 | 0.2412 | 6.4794 | |
|
| 0.0013 | 24.01 | 5000 | 0.2515 | 6.4673 | |
|
| 0.0023 | 29.01 | 6000 | 0.2570 | 6.6432 | |
|
| 0.0018 | 34.01 | 7000 | 0.2474 | 6.6380 | |
|
| 0.0017 | 39.01 | 8000 | 0.2530 | 6.9312 | |
|
| 0.0001 | 44.01 | 9000 | 0.2758 | 6.2379 | |
|
| 0.0001 | 49.01 | 10000 | 0.2952 | 6.1241 | |
|
| 0.0001 | 54.01 | 11000 | 0.3056 | 6.0499 | |
|
| 0.0 | 59.01 | 12000 | 0.3152 | 5.9948 | |
|
| 0.0 | 64.01 | 13000 | 0.3244 | 6.0310 | |
|
| 0.0 | 69.01 | 14000 | 0.3336 | 6.0586 | |
|
| 0.0 | 74.01 | 15000 | 0.3428 | 6.0344 | |
|
| 0.0 | 79.01 | 16000 | 0.3518 | 6.0017 | |
|
| 0.0 | 84.01 | 17000 | 0.3601 | 5.9879 | |
|
| 0.0 | 89.01 | 18000 | 0.3675 | 6.0103 | |
|
| 0.0 | 94.01 | 19000 | 0.3729 | 6.0068 | |
|
| 0.0 | 99.01 | 20000 | 0.3753 | 6.0172 | |
|
|
|
|
|
### 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. |
