| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: cyber_rebel | |
| results: [] | |
| <!-- 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](https://huggingface.co/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 | |