---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-ufloodKP
  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-small-ufloodKP

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2340
- Rouge1: 51.1957
- Rouge2: 38.6274
- Rougel: 51.029
- Rougelsum: 50.9936
- Gen Len: 7.2789

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1747        | 1.0   | 6058  | 1.2542          | 52.1875 | 40.2309 | 51.9801 | 51.9847   | 8.1324  |
| 1.0245        | 2.0   | 12116 | 1.2340          | 51.1957 | 38.6274 | 51.029  | 50.9936   | 7.2789  |
| 0.9058        | 3.0   | 18174 | 1.2498          | 51.6649 | 38.9989 | 51.5003 | 51.5001   | 7.6738  |
| 0.8717        | 4.0   | 24232 | 1.2799          | 51.6254 | 38.7551 | 51.5113 | 51.5324   | 7.9947  |
| 0.7923        | 5.0   | 30290 | 1.2744          | 52.241  | 39.1567 | 52.0777 | 52.0785   | 8.0851  |
| 0.7674        | 6.0   | 36348 | 1.2981          | 52.1724 | 39.1874 | 51.9824 | 51.9644   | 7.7757  |
| 0.727         | 7.0   | 42406 | 1.3060          | 52.0124 | 39.0293 | 51.8309 | 51.8109   | 7.8134  |
| 0.7335        | 8.0   | 48464 | 1.3128          | 52.1094 | 39.048  | 51.9469 | 51.97     | 7.9159  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2