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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40
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: 1.1048
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 |
|---|---|---|---|
| 4.9062 | 1.0 | 1 | 5.6418 |
| 4.5785 | 2.0 | 2 | 5.3839 |
| 6.6562 | 3.0 | 3 | 5.0883 |
| 4.0274 | 4.0 | 4 | 4.4272 |
| 2.9225 | 5.0 | 5 | 4.1994 |
| 1.9388 | 6.0 | 6 | 2.9638 |
| 2.6745 | 7.0 | 7 | 2.4477 |
| 2.0988 | 8.0 | 8 | 2.4030 |
| 2.3506 | 9.0 | 9 | 3.5475 |
| 1.734 | 10.0 | 10 | 0.1426 |
| 1.8435 | 11.0 | 11 | 2.2994 |
| 1.5274 | 12.0 | 12 | 1.5195 |
| 1.5668 | 13.0 | 13 | 1.3508 |
| 1.4771 | 14.0 | 14 | 1.5684 |
| 1.4649 | 15.0 | 15 | 0.0011 |
| 1.0896 | 16.0 | 16 | 2.2005 |
| 0.9002 | 17.0 | 17 | 0.0748 |
| 1.2433 | 18.0 | 18 | 0.4664 |
| 1.4224 | 19.0 | 19 | 1.5759 |
| 0.791 | 20.0 | 20 | 0.4863 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
