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Mi-roberta-QA
raulgdp/Mi-roberta-QA
Mi-roberta-QA is a question answering model from raulgdp. 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
- Aug 26, 2024
- Updated
- Dec 5, 2024
- SHA
- 34e0293d
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. -->
Mi-roberta-QA
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne-sqac on the sqac dataset. It achieves the following results on the evaluation set:
- Loss: 3.2207
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0567 | 1.0 | 940 | 2.4296 |
| 0.0309 | 2.0 | 1880 | 2.6465 |
| 0.0198 | 3.0 | 2820 | 2.5772 |
| 0.0084 | 4.0 | 3760 | 2.9885 |
| 0.0081 | 5.0 | 4700 | 3.0342 |
| 0.0028 | 6.0 | 5640 | 3.1098 |
| 0.0004 | 7.0 | 6580 | 3.1946 |
| 0.0001 | 8.0 | 7520 | 3.2207 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Aug 26, 2024
- Updated
- Dec 5, 2024