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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40-1
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: 0.1480
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 |
|---|---|---|---|
| 5.5106 | 1.0 | 1 | 5.1619 |
| 5.6209 | 2.0 | 2 | 5.5710 |
| 5.8886 | 3.0 | 3 | 2.9607 |
| 5.2551 | 4.0 | 4 | 4.7114 |
| 3.4045 | 5.0 | 5 | 5.3069 |
| 2.7632 | 6.0 | 6 | 7.4665 |
| 2.4015 | 7.0 | 7 | 0.4605 |
| 2.6532 | 8.0 | 8 | 0.8724 |
| 1.2054 | 9.0 | 9 | 0.0124 |
| 2.2897 | 10.0 | 10 | 3.4811 |
| 1.8984 | 11.0 | 11 | 0.1331 |
| 1.8627 | 12.0 | 12 | 0.5143 |
| 1.79 | 13.0 | 13 | 1.3302 |
| 1.2529 | 14.0 | 14 | 0.0777 |
| 1.2926 | 15.0 | 15 | 1.0649 |
| 1.2448 | 16.0 | 16 | 0.0018 |
| 1.6533 | 17.0 | 17 | 0.7471 |
| 1.171 | 18.0 | 18 | 0.2074 |
| 1.2245 | 19.0 | 19 | 1.7576 |
| 0.7455 | 20.0 | 20 | 0.0755 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
