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

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: 1.6372
- Rouge1: 48.834
- Rouge2: 33.4205
- Rougel: 48.6607
- Rougelsum: 48.681
- Gen Len: 8.5017

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1542        | 1.0   | 6210  | 1.7110          | 47.2887 | 32.082  | 47.1742 | 47.2544   | 9.4784  |
| 1.0404        | 2.0   | 12420 | 1.6650          | 47.6569 | 32.5934 | 47.4988 | 47.5605   | 9.0240  |
| 0.9219        | 3.0   | 18630 | 1.6880          | 48.2258 | 32.5305 | 48.1079 | 48.1138   | 9.1102  |
| 0.8346        | 4.0   | 24840 | 1.6372          | 48.834  | 33.4205 | 48.6607 | 48.681    | 8.5017  |
| 0.8004        | 5.0   | 31050 | 1.6453          | 49.3895 | 33.5125 | 49.2774 | 49.2772   | 8.5736  |
| 0.7556        | 6.0   | 37260 | 1.6455          | 49.7786 | 34.0706 | 49.6065 | 49.6091   | 8.3949  |
| 0.7383        | 7.0   | 43470 | 1.6682          | 48.919  | 33.1249 | 48.7316 | 48.7785   | 8.4641  |
| 0.7848        | 8.0   | 49680 | 1.6800          | 50.1876 | 34.2436 | 49.9813 | 50.0496   | 8.3799  |


### Framework versions

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