| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: output | |
| 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. --> | |
| # output | |
| This model is a fine-tuned version of [Babelscape/rebel-large](https://huggingface.co/Babelscape/rebel-large) on an unknown dataset. | |
| ## 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: 1e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-measure | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:----------:| | |
| | No log | 1.0 | 236 | 0.3225 | 0.8889 | 0.8889 | 0.8889 | | |
| ### Framework versions | |
| - Transformers 4.21.1 | |
| - Pytorch 1.9.0+cu111 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |