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GQA_BERT7
farid1088/GQA_BERT7
GQA_BERT7 is a question answering model from farid1088. 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
- Mar 2, 2024
- Updated
- Mar 2, 2024
- SHA
- c6a6b7a3
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. -->
GQA_BERT7
This model was trained from scratch on the germanquad dataset. It achieves the following results on the evaluation set:
- Loss: 4.0355
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: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 288 | 5.4229 |
| 4.5272 | 2.0 | 576 | 4.2288 |
| 4.5272 | 3.0 | 864 | 3.9695 |
| 3.5782 | 4.0 | 1152 | 4.0760 |
| 3.5782 | 5.0 | 1440 | 3.7674 |
| 3.0376 | 6.0 | 1728 | 3.9112 |
| 2.7057 | 7.0 | 2016 | 4.0355 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2024
- Updated
- Mar 2, 2024