| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: codebert-base-mlm-Malicious_URLs | |
| 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. --> | |
| # codebert-base-mlm-Malicious_URLs | |
| This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.7442 | |
| - Accuracy: 0.7322 | |
| - Weighted f1: 0.6538 | |
| - Micro f1: 0.7322 | |
| - Macro f1: 0.4303 | |
| - Weighted recall: 0.7322 | |
| - Micro recall: 0.7322 | |
| - Macro recall: 0.4233 | |
| - Weighted precision: 0.6314 | |
| - Micro precision: 0.7322 | |
| - Macro precision: 0.6034 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - 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: 2 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.13.0 | |
| - Tokenizers 0.13.3 | |