---
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