---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-t5-Thor4
  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-finetuned-t5-Thor4

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: 1.5607
- Rouge1: 30.1917
- Rouge2: 17.6334
- Rougel: 26.8513
- Rougelsum: 28.7606
- Gen Len: 18.9881

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.9251        | 1.0   | 675  | 1.6082          | 29.3372 | 16.9607 | 26.1096 | 27.9357   | 18.9874 |
| 1.763         | 2.0   | 1350 | 1.5696          | 30.1869 | 17.5627 | 26.8425 | 28.7413   | 18.9881 |
| 1.7139        | 3.0   | 2025 | 1.5607          | 30.1917 | 17.6334 | 26.8513 | 28.7606   | 18.9881 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2