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Legal_GQA_BERT_augmented_17
farid1088/Legal_GQA_BERT_augmented_17
Legal_GQA_BERT_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 4, 2024
- Updated
- Mar 4, 2024
- SHA
- 81872f27
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. -->
Legal_GQA_BERT_augmented_17
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7231
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: 32
- eval_batch_size: 4
- 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 | 15 | 2.7689 |
| No log | 2.0 | 30 | 2.8738 |
| No log | 3.0 | 45 | 2.4922 |
| No log | 4.0 | 60 | 2.6766 |
| No log | 5.0 | 75 | 2.8174 |
| No log | 6.0 | 90 | 2.9027 |
| No log | 7.0 | 105 | 2.8046 |
| No log | 8.0 | 120 | 3.1146 |
| No log | 9.0 | 135 | 3.2279 |
| No log | 10.0 | 150 | 3.3864 |
| No log | 11.0 | 165 | 3.3745 |
| No log | 12.0 | 180 | 3.7415 |
| No log | 13.0 | 195 | 3.6057 |
| No log | 14.0 | 210 | 3.6076 |
| No log | 15.0 | 225 | 3.7815 |
| No log | 16.0 | 240 | 3.6825 |
| No log | 17.0 | 255 | 3.7231 |
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 4, 2024
- Updated
- Mar 4, 2024