<!-- 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. -->
cyber_rebel
This model is a fine-tuned version of Babelscape/rebel-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1187
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.526 | 1.0 | 15674 | 2.5245 |
| 2.6236 | 2.0 | 31348 | 2.2064 |
| 2.3867 | 3.0 | 47022 | 2.0967 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.13.0
- Datasets 2.7.0
- Tokenizers 0.12.1
