---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cuad
model-index:
- name: bert-small-finetuned-cuad-full-longer
  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. -->

# bert-small-finetuned-cuad-full-longer

This model is a fine-tuned version of [muhtasham/bert-small-finetuned-cuad-full](https://huggingface.co/muhtasham/bert-small-finetuned-cuad-full) on the cuad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0295

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0306        | 1.0   | 23785 | 0.0263          |
| 0.025         | 2.0   | 47570 | 0.0275          |
| 0.022         | 3.0   | 71355 | 0.0295          |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1