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--- |
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language: |
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- gl |
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license: apache-2.0 |
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base_model: openai/whisper-large |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Large Galician |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: mozilla-foundation/common_voice_13_0 gl |
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type: mozilla-foundation/common_voice_13_0 |
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config: gl |
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split: test |
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args: gl |
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metrics: |
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- name: Wer |
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type: wer |
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value: 6.939845474613686 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Large Galician |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3605 |
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- Wer: 6.9398 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 20000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.0126 | 4.01 | 1000 | 0.2128 | 8.3558 | |
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| 0.0032 | 9.01 | 2000 | 0.2262 | 6.9416 | |
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| 0.0022 | 14.01 | 3000 | 0.2528 | 7.1123 | |
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| 0.0025 | 19.01 | 4000 | 0.2643 | 7.3641 | |
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| 0.0015 | 24.01 | 5000 | 0.2596 | 7.3365 | |
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| 0.0014 | 29.01 | 6000 | 0.2723 | 7.6366 | |
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| 0.0008 | 34.01 | 7000 | 0.2778 | 7.6090 | |
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| 0.0003 | 39.01 | 8000 | 0.2880 | 7.2261 | |
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| 0.0004 | 44.01 | 9000 | 0.2920 | 7.6745 | |
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| 0.0001 | 49.01 | 10000 | 0.2854 | 7.4089 | |
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| 0.0 | 54.01 | 11000 | 0.3027 | 7.4365 | |
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| 0.0 | 59.01 | 12000 | 0.3159 | 7.4055 | |
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| 0.0 | 64.01 | 13000 | 0.3242 | 7.3693 | |
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| 0.0 | 69.01 | 14000 | 0.3312 | 7.3072 | |
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| 0.0 | 74.01 | 15000 | 0.3379 | 7.0226 | |
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| 0.0 | 79.01 | 16000 | 0.3442 | 7.0019 | |
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| 0.0 | 84.01 | 17000 | 0.3500 | 6.9933 | |
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| 0.0 | 89.01 | 18000 | 0.3550 | 6.9605 | |
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| 0.0 | 94.01 | 19000 | 0.3589 | 6.9467 | |
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| 0.0 | 99.01 | 20000 | 0.3605 | 6.9398 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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## Citation |
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If you use these models in your research, please cite: |
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```bibtex |
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@misc{dezuazo2025whisperlmimprovingasrmodels, |
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title={Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages}, |
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author={Xabier de Zuazo and Eva Navas and Ibon Saratxaga and Inma Hernáez Rioja}, |
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year={2025}, |
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eprint={2503.23542}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2503.23542}, |
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} |
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``` |
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Please, check the related paper preprint in |
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[arXiv:2503.23542](https://arxiv.org/abs/2503.23542) |
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for more details. |
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## Licensing |
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This model is available under the |
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[Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0). |
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You are free to use, modify, and distribute this model as long as you credit |
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the original creators. |
