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fresh-12-layer-gpqa
afaji/fresh-12-layer-gpqa
fresh-12-layer-gpqa is a multiple choice model from afaji. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 10, 2024
- Updated
- Mar 10, 2024
- SHA
- 1ec2b9cc
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. -->
fresh-12-layer-gpqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1852
- Accuracy: 0.9394
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 13 | 1.3865 | 0.2677 |
| No log | 2.0 | 26 | 1.3857 | 0.2374 |
| No log | 3.0 | 39 | 1.3852 | 0.2475 |
| No log | 4.0 | 52 | 1.3852 | 0.2929 |
| No log | 5.0 | 65 | 1.3847 | 0.2929 |
| No log | 6.0 | 78 | 1.3844 | 0.3081 |
| No log | 7.0 | 91 | 1.3839 | 0.2980 |
| No log | 8.0 | 104 | 1.3800 | 0.3081 |
| No log | 9.0 | 117 | 1.3751 | 0.3535 |
| No log | 10.0 | 130 | 1.2007 | 0.6263 |
| No log | 11.0 | 143 | 0.9272 | 0.6515 |
| No log | 12.0 | 156 | 1.0185 | 0.6768 |
| No log | 13.0 | 169 | 0.6580 | 0.7424 |
| No log | 14.0 | 182 | 0.4847 | 0.7828 |
| No log | 15.0 | 195 | 0.3170 | 0.8384 |
| No log | 16.0 | 208 | 0.2830 | 0.8485 |
| No log | 17.0 | 221 | 0.3068 | 0.9192 |
| No log | 18.0 | 234 | 0.2519 | 0.9141 |
| No log | 19.0 | 247 | 0.2426 | 0.9343 |
| No log | 20.0 | 260 | 0.1852 | 0.9394 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- Created
- Mar 10, 2024
- Updated
- Mar 10, 2024