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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40-3
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: 2.6320
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 |
|---|---|---|---|
| 6.0686 | 1.0 | 1 | 8.3210 |
| 5.6353 | 2.0 | 2 | 0.5055 |
| 6.3434 | 3.0 | 3 | 1.8857 |
| 4.1448 | 4.0 | 4 | 4.3374 |
| 2.8984 | 5.0 | 5 | 5.4292 |
| 2.4779 | 6.0 | 6 | 5.5246 |
| 2.0132 | 7.0 | 7 | 2.0193 |
| 1.5562 | 8.0 | 8 | 3.5836 |
| 2.1669 | 9.0 | 9 | 0.0314 |
| 1.4914 | 10.0 | 10 | 1.6364 |
| 1.7337 | 11.0 | 11 | 2.9466 |
| 1.0468 | 12.0 | 12 | 0.7740 |
| 1.4905 | 13.0 | 13 | 0.2218 |
| 1.1961 | 14.0 | 14 | 0.8989 |
| 0.6658 | 15.0 | 15 | 0.6053 |
| 1.5896 | 16.0 | 16 | 0.1169 |
| 1.6406 | 17.0 | 17 | 0.0020 |
| 0.3221 | 18.0 | 18 | 0.3067 |
| 0.9494 | 19.0 | 19 | 0.5326 |
| 0.9377 | 20.0 | 20 | 0.0574 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
