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roberta-base-finetuned-squad2
PabloGuinea/roberta-base-finetuned-squad2
roberta-base-finetuned-squad2 is a question answering model from PabloGuinea. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Jun 7, 2023
- Updated
- Jun 7, 2023
- SHA
- 970fb690
Try a prompt
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-base-finetuned-squad2
This model is a fine-tuned version of roberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8756
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.87 | 1.0 | 8239 | 0.8090 |
| 0.6455 | 2.0 | 16478 | 0.8756 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jun 7, 2023
- Updated
- Jun 7, 2023