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roberta-large-bne-sqac-finetuned-squad
osuna/roberta-large-bne-sqac-finetuned-squad
roberta-large-bne-sqac-finetuned-squad is a question answering model from osuna. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jul 12, 2023
- Updated
- Jul 26, 2023
- SHA
- c3c3dd26
Try a prompt
Base models
Datasets
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. -->
roberta-large-bne-sqac-finetuned-squad
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne-sqac on the corpusasegurador dataset. It achieves the following results on the evaluation set:
- Loss: 2.3469
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 3.6907 |
| No log | 2.0 | 6 | 2.7403 |
| No log | 3.0 | 9 | 2.3469 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jul 12, 2023
- Updated
- Jul 26, 2023