---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- cuad
model-index:
- name: T5-base-cuad-3
  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. -->

# T5-base-cuad-3

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the cuad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4275

## 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: 5e-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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5632        | 1.0   | 1398  | 0.4593          |
| 0.5098        | 2.0   | 2796  | 0.4428          |
| 0.4718        | 3.0   | 4194  | 0.4349          |
| 0.4459        | 4.0   | 5592  | 0.4313          |
| 0.4363        | 5.0   | 6990  | 0.4304          |
| 0.4077        | 6.0   | 8388  | 0.4275          |
| 0.4159        | 7.0   | 9786  | 0.4282          |
| 0.4024        | 8.0   | 11184 | 0.4276          |
| 0.4002        | 9.0   | 12582 | 0.4279          |
| 0.3962        | 10.0  | 13980 | 0.4283          |


### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3