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---
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
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