| | --- |
| | license: cc-by-sa-4.0 |
| | base_model: nlpaueb/legal-bert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: FlavioNoEng |
| | 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. --> |
| |
|
| | # FlavioNoEng |
| |
|
| | This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.4980 |
| | - eval_Accuracy: 0.8841 |
| | - eval_F1_macro: 0.7387 |
| | - eval_F1_class_0: 0.9302 |
| | - eval_F1_class_1: 0.0 |
| | - eval_F1_class_2: 0.8950 |
| | - eval_F1_class_3: 0.8000 |
| | - eval_F1_class_4: 0.8000 |
| | - eval_F1_class_5: 0.9057 |
| | - eval_F1_class_6: 0.7170 |
| | - eval_F1_class_7: 0.9663 |
| | - eval_F1_class_8: 0.9831 |
| | - eval_F1_class_9: 0.7931 |
| | - eval_F1_class_10: 0.8483 |
| | - eval_F1_class_11: 0.8333 |
| | - eval_F1_class_12: 0.7975 |
| | - eval_F1_class_13: 0.5714 |
| | - eval_F1_class_14: 0.8734 |
| | - eval_F1_class_15: 0.3077 |
| | - eval_F1_class_16: 0.0 |
| | - eval_F1_class_17: 0.9760 |
| | - eval_F1_class_18: 0.8525 |
| | - eval_F1_class_19: 0.9231 |
| | - eval_runtime: 34.849 |
| | - eval_samples_per_second: 32.426 |
| | - eval_steps_per_second: 2.037 |
| | - epoch: 3.93 |
| | - step: 2500 |
| | |
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.32.0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| | |
