| --- |
| 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. --> |
|
|
| # occ_extractor |
| |
| 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: 0.0221 |
| |
| ## 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 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 5.0173 | 1.0 | 26 | 3.6634 | |
| | 1.3207 | 2.0 | 52 | 1.6421 | |
| | 1.5145 | 3.0 | 78 | 0.8648 | |
| | 0.569 | 4.0 | 104 | 0.4282 | |
| | 0.959 | 5.0 | 130 | 0.2613 | |
| | 0.3348 | 6.0 | 156 | 0.1609 | |
| | 0.279 | 7.0 | 182 | 0.1122 | |
| | 0.1566 | 8.0 | 208 | 0.0876 | |
| | 0.1332 | 9.0 | 234 | 0.0692 | |
| | 0.0173 | 10.0 | 260 | 0.0540 | |
| | 0.1275 | 11.0 | 286 | 0.0489 | |
| | 0.0454 | 12.0 | 312 | 0.0424 | |
| | 0.0197 | 13.0 | 338 | 0.0367 | |
| | 0.0166 | 14.0 | 364 | 0.0332 | |
| | 0.0718 | 15.0 | 390 | 0.0289 | |
| | 0.0243 | 16.0 | 416 | 0.0261 | |
| | 0.1413 | 17.0 | 442 | 0.0244 | |
| | 0.2464 | 18.0 | 468 | 0.0231 | |
| | 0.0033 | 19.0 | 494 | 0.0223 | |
| | 0.0122 | 20.0 | 520 | 0.0221 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 2.2.2 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
| |
