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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40-2
This model is a fine-tuned version of jojoUla/bert-large-cased-sigir-support-refute-no-label-40 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3745
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: 4e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.04 | 1.0 | 1 | 7.6410 |
| 6.4001 | 2.0 | 2 | 0.1745 |
| 4.9113 | 3.0 | 3 | 3.0671 |
| 3.8173 | 4.0 | 4 | 0.1307 |
| 3.231 | 5.0 | 5 | 4.0186 |
| 3.0906 | 6.0 | 6 | 0.0018 |
| 1.8898 | 7.0 | 7 | 0.9425 |
| 2.2709 | 8.0 | 8 | 0.2500 |
| 1.6371 | 9.0 | 9 | 4.0546 |
| 1.6533 | 10.0 | 10 | 0.3071 |
| 1.9309 | 11.0 | 11 | 1.8665 |
| 1.1357 | 12.0 | 12 | 0.9965 |
| 0.9922 | 13.0 | 13 | 0.4232 |
| 0.5621 | 14.0 | 14 | 0.4225 |
| 2.0588 | 15.0 | 15 | 1.2267 |
| 1.6497 | 16.0 | 16 | 0.0952 |
| 1.5047 | 17.0 | 17 | 1.1569 |
| 0.9653 | 18.0 | 18 | 0.7288 |
| 0.8737 | 19.0 | 19 | 2.7634 |
| 0.9605 | 20.0 | 20 | 0.3847 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
