bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-6
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: 3.6720
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 |
|---|---|---|---|
| 4.7358 | 1.0 | 1 | 0.0051 |
| 2.6089 | 2.0 | 2 | 0.0047 |
| 1.6621 | 3.0 | 3 | 5.8151 |
| 1.5637 | 4.0 | 4 | 0.4527 |
| 1.1817 | 5.0 | 5 | 0.0013 |
| 2.3988 | 6.0 | 6 | 0.8794 |
| 1.0415 | 7.0 | 7 | 0.0245 |
| 1.2564 | 8.0 | 8 | 1.5751 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3