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modelo_qa_beto_squad_es
Lisibonny/modelo_qa_beto_squad_es
modelo_qa_beto_squad_es is a question answering model from Lisibonny. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 30, 2024
- Updated
- Jun 15, 2024
- SHA
- bc1dd469
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
modelo_qa_beto_squad_es
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9490
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7331 | 1.0 | 5427 | 1.7603 |
| 1.4284 | 2.0 | 10854 | 1.7249 |
| 1.1215 | 3.0 | 16281 | 1.7807 |
| 0.9221 | 4.0 | 21708 | 1.9490 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- May 30, 2024
- Updated
- Jun 15, 2024