| --- |
| license: apache-2.0 |
| base_model: t5-large |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: occ_extractor |
| 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. --> |
| datasetsANDmodels/occupation_extraction |
| |
| This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0260 |
| |
| ## Model description |
| |
| This model extracts the cocupation's name from text. |
| |
| ## 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 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 5.0748 | 1.0 | 26 | 3.6708 | |
| | 1.2816 | 2.0 | 52 | 1.5886 | |
| | 1.422 | 3.0 | 78 | 0.7878 | |
| | 0.5729 | 4.0 | 104 | 0.4200 | |
| | 1.007 | 5.0 | 130 | 0.2706 | |
| | 0.2949 | 6.0 | 156 | 0.1751 | |
| | 0.2805 | 7.0 | 182 | 0.1193 | |
| | 0.1689 | 8.0 | 208 | 0.0948 | |
| | 0.1232 | 9.0 | 234 | 0.0717 | |
| | 0.0205 | 10.0 | 260 | 0.0656 | |
| | 0.1277 | 11.0 | 286 | 0.0600 | |
| | 0.0357 | 12.0 | 312 | 0.0550 | |
| | 0.0217 | 13.0 | 338 | 0.0469 | |
| | 0.0201 | 14.0 | 364 | 0.0377 | |
| | 0.0904 | 15.0 | 390 | 0.0320 | |
| | 0.0083 | 16.0 | 416 | 0.0289 | |
| | 0.1448 | 17.0 | 442 | 0.0284 | |
| | 0.2741 | 18.0 | 468 | 0.0276 | |
| | 0.0028 | 19.0 | 494 | 0.0261 | |
| | 0.015 | 20.0 | 520 | 0.0260 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 2.2.2 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
| |
