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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-1
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: 0.2698
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 |
|---|---|---|---|
| 5.8449 | 1.0 | 1 | 4.2725 |
| 4.2874 | 2.0 | 2 | 2.8975 |
| 3.9981 | 3.0 | 3 | 3.3611 |
| 2.7907 | 4.0 | 4 | 0.0039 |
| 3.0778 | 5.0 | 5 | 0.7884 |
| 3.3516 | 6.0 | 6 | 0.1895 |
| 2.0275 | 7.0 | 7 | 2.0274 |
| 1.9262 | 8.0 | 8 | 0.0168 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
