---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5small_contracts
  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. -->

# t5small_contracts

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9521
- Rouge1: 0.2926
- Rouge2: 0.1622
- Rougel: 0.2568
- Rougelsum: 0.2549
- Gen Len: 18.4146

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 11   | 3.3928          | 0.2931 | 0.1602 | 0.2571 | 0.255     | 18.5122 |
| No log        | 2.0   | 22   | 3.1343          | 0.2951 | 0.1632 | 0.2593 | 0.2565    | 18.4146 |
| No log        | 3.0   | 33   | 3.0073          | 0.2919 | 0.1617 | 0.2563 | 0.2541    | 18.4146 |
| No log        | 4.0   | 44   | 2.9521          | 0.2926 | 0.1622 | 0.2568 | 0.2549    | 18.4146 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.11.0