metadata
license: cc-by-sa-4.0
base_model: nlpaueb/bert-base-uncased-contracts
tags:
- generated_from_trainer
model-index:
- name: entity_model
results: []
entity_model
This model is a fine-tuned version of 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