<!-- 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-LR10-8-fast-17
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: 0.5427
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8058 | 1.0 | 1 | 3.4971 |
| 3.3688 | 2.0 | 2 | 2.0796 |
| 2.122 | 3.0 | 3 | 0.0749 |
| 1.6293 | 4.0 | 4 | 4.1199 |
| 2.0459 | 5.0 | 5 | 1.3404 |
| 1.8274 | 6.0 | 6 | 0.0595 |
| 1.1163 | 7.0 | 7 | 1.1141 |
| 2.2423 | 8.0 | 8 | 0.0609 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
