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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-20
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: 1.9919
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: 8.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.7553 | 1.0 | 3 | 4.4727 |
| 3.0507 | 2.0 | 6 | 1.4438 |
| 2.0337 | 3.0 | 9 | 1.8337 |
| 1.9326 | 4.0 | 12 | 1.6032 |
| 1.8763 | 5.0 | 15 | 1.0935 |
| 1.132 | 6.0 | 18 | 1.3795 |
| 1.2757 | 7.0 | 21 | 1.2860 |
| 1.4333 | 8.0 | 24 | 1.4140 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
