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Matbert-finetuned-squad
HongyangLi/Matbert-finetuned-squad
Matbert-finetuned-squad is a question answering model from HongyangLi. 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
- Jul 29, 2023
- Updated
- Jul 29, 2023
- SHA
- 88a2e2ec
Try a prompt
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. -->
Matbert-finetuned-squad
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5198
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 26 | 4.5596 |
| No log | 2.0 | 52 | 3.6885 |
| No log | 3.0 | 78 | 3.5198 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.14.1
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Jul 29, 2023
- Updated
- Jul 29, 2023