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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-20-0
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: 0.0103
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 |
|---|---|---|---|
| 3.3658 | 1.0 | 1 | 4.5617 |
| 3.5713 | 2.0 | 2 | 2.5325 |
| 2.2843 | 3.0 | 3 | 0.0030 |
| 1.7965 | 4.0 | 4 | 2.3831 |
| 2.0354 | 5.0 | 5 | 3.4912 |
| 1.2277 | 6.0 | 6 | 1.3851 |
| 1.2321 | 7.0 | 7 | 1.9236 |
| 0.4967 | 8.0 | 8 | 1.0605 |
| 1.0384 | 9.0 | 9 | 0.3916 |
| 0.7269 | 10.0 | 10 | 0.0062 |
| 1.2502 | 11.0 | 11 | 1.8639 |
| 1.4578 | 12.0 | 12 | 2.0197 |
| 1.2226 | 13.0 | 13 | 0.6885 |
| 0.6376 | 14.0 | 14 | 1.1868 |
| 0.5083 | 15.0 | 15 | 2.9677 |
| 0.9882 | 16.0 | 16 | 0.0010 |
| 0.6176 | 17.0 | 17 | 0.2418 |
| 0.4591 | 18.0 | 18 | 0.0004 |
| 0.1891 | 19.0 | 19 | 1.8797 |
| 0.3319 | 20.0 | 20 | 1.4692 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
