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bert-base-uncased-finetuned-squad-v2
rizukim/bert-base-uncased-finetuned-squad-v2
bert-base-uncased-finetuned-squad-v2 is a question answering model from rizukim. 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
- bert
- Access
- Public
- Created
- Dec 2, 2025
- Updated
- Dec 3, 2025
- SHA
- 8b694d76
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. -->
bert-base-uncased-finetuned-squad-v2
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2398
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0493 | 1.0 | 8235 | 1.0716 |
| 0.7569 | 2.0 | 16470 | 1.1140 |
| 0.5553 | 3.0 | 24705 | 1.2398 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0+cu118
- Datasets 3.2.0
- Tokenizers 0.20.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 2, 2025
- Updated
- Dec 3, 2025