| --- |
| license: cc-by-sa-4.0 |
| base_model: nlpaueb/bert-base-uncased-contracts |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: entity_model |
| 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. --> |
|
|
| # entity_model |
| |
| This model is a fine-tuned version of [nlpaueb/bert-base-uncased-contracts](https://huggingface.co/nlpaueb/bert-base-uncased-contracts) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0230 |
| |
| ## 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 |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.2326 | 1.0 | 208 | 0.1823 | |
| | 0.1492 | 2.0 | 416 | 0.1103 | |
| | 0.1086 | 3.0 | 624 | 0.0816 | |
| | 0.0727 | 4.0 | 832 | 0.0594 | |
| | 0.0652 | 5.0 | 1040 | 0.0471 | |
| | 0.0594 | 6.0 | 1248 | 0.0388 | |
| | 0.0472 | 7.0 | 1456 | 0.0327 | |
| | 0.0417 | 8.0 | 1664 | 0.0283 | |
| | 0.0353 | 9.0 | 1872 | 0.0250 | |
| | 0.0289 | 10.0 | 2080 | 0.0230 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.42.0 |
| - Pytorch 2.5.0+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.19.1 |
|
|
