File size: 3,872 Bytes
4a8a637 853400a 4a8a637 853400a 4a8a637 853400a 4a8a637 853400a 4a8a637 853400a 4a8a637 853400a 4a8a637 853400a 4a8a637 68c2b7a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 |
---
language:
- gl
license: apache-2.0
base_model: openai/whisper-large
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Large 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: 6.939845474613686
---
<!-- 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 Galician
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the mozilla-foundation/common_voice_13_0 gl dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3605
- Wer: 6.9398
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0126 | 4.01 | 1000 | 0.2128 | 8.3558 |
| 0.0032 | 9.01 | 2000 | 0.2262 | 6.9416 |
| 0.0022 | 14.01 | 3000 | 0.2528 | 7.1123 |
| 0.0025 | 19.01 | 4000 | 0.2643 | 7.3641 |
| 0.0015 | 24.01 | 5000 | 0.2596 | 7.3365 |
| 0.0014 | 29.01 | 6000 | 0.2723 | 7.6366 |
| 0.0008 | 34.01 | 7000 | 0.2778 | 7.6090 |
| 0.0003 | 39.01 | 8000 | 0.2880 | 7.2261 |
| 0.0004 | 44.01 | 9000 | 0.2920 | 7.6745 |
| 0.0001 | 49.01 | 10000 | 0.2854 | 7.4089 |
| 0.0 | 54.01 | 11000 | 0.3027 | 7.4365 |
| 0.0 | 59.01 | 12000 | 0.3159 | 7.4055 |
| 0.0 | 64.01 | 13000 | 0.3242 | 7.3693 |
| 0.0 | 69.01 | 14000 | 0.3312 | 7.3072 |
| 0.0 | 74.01 | 15000 | 0.3379 | 7.0226 |
| 0.0 | 79.01 | 16000 | 0.3442 | 7.0019 |
| 0.0 | 84.01 | 17000 | 0.3500 | 6.9933 |
| 0.0 | 89.01 | 18000 | 0.3550 | 6.9605 |
| 0.0 | 94.01 | 19000 | 0.3589 | 6.9467 |
| 0.0 | 99.01 | 20000 | 0.3605 | 6.9398 |
### 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. |