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GQA_BERT_legal_SQuAD_complete_augmented_17
farid1088/GQA_BERT_legal_SQuAD_complete_augmented_17
GQA_BERT_legal_SQuAD_complete_augmented_17 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 5, 2024
- Updated
- Mar 7, 2024
- SHA
- cab6ee84
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. -->
GQA_BERT_legal_SQuAD_complete_augmented_17
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8704
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: 160
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 17
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 5.1176 |
| No log | 2.0 | 6 | 4.6377 |
| No log | 3.0 | 9 | 4.0318 |
| No log | 4.0 | 12 | 3.7360 |
| No log | 5.0 | 15 | 3.3913 |
| No log | 6.0 | 18 | 3.0846 |
| No log | 7.0 | 21 | 2.8234 |
| No log | 8.0 | 24 | 2.6038 |
| No log | 9.0 | 27 | 2.4490 |
| No log | 10.0 | 30 | 2.2988 |
| No log | 11.0 | 33 | 2.1783 |
| No log | 12.0 | 36 | 2.0988 |
| No log | 13.0 | 39 | 2.0404 |
| No log | 14.0 | 42 | 1.9775 |
| No log | 15.0 | 45 | 1.9231 |
| No log | 16.0 | 48 | 1.8851 |
| No log | 17.0 | 51 | 1.8704 |
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 5, 2024
- Updated
- Mar 7, 2024