<!-- 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. -->
bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-20-1
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: 0.7541
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 |
|---|---|---|---|
| 5.0783 | 1.0 | 1 | 6.3190 |
| 7.191 | 2.0 | 2 | 9.2028 |
| 5.1104 | 3.0 | 3 | 5.5950 |
| 3.9108 | 4.0 | 4 | 0.5708 |
| 3.8333 | 5.0 | 5 | 1.4957 |
| 2.5306 | 6.0 | 6 | 1.9557 |
| 2.9315 | 7.0 | 7 | 1.0218 |
| 1.8178 | 8.0 | 8 | 0.7706 |
| 1.855 | 9.0 | 9 | 0.0185 |
| 1.2995 | 10.0 | 10 | 3.4784 |
| 1.1463 | 11.0 | 11 | 5.2617 |
| 0.9934 | 12.0 | 12 | 2.7459 |
| 1.0794 | 13.0 | 13 | 0.0322 |
| 1.0324 | 14.0 | 14 | 0.6323 |
| 1.7387 | 15.0 | 15 | 1.7983 |
| 0.951 | 16.0 | 16 | 2.1738 |
| 0.7054 | 17.0 | 17 | 0.0137 |
| 1.8208 | 18.0 | 18 | 0.4554 |
| 0.8225 | 19.0 | 19 | 1.1583 |
| 0.8952 | 20.0 | 20 | 0.0660 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
