---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetunesmallT5
  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-finetunesmallT5

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: 22.8504
- Rouge1: 80.2116
- Rouge2: 70.3704
- Rougel: 80.2116
- Rougelsum: 80.2116
- Gen Len: 4.0

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 4    | 27.3213         | 80.2116 | 70.3704 | 80.2116 | 80.2116   | 4.0     |
| No log        | 2.0   | 8    | 25.8240         | 80.2116 | 70.3704 | 80.2116 | 80.2116   | 4.0     |
| No log        | 3.0   | 12   | 24.2754         | 80.2116 | 70.3704 | 80.2116 | 80.2116   | 4.0     |
| No log        | 4.0   | 16   | 23.4084         | 80.2116 | 70.3704 | 80.2116 | 80.2116   | 4.0     |
| No log        | 5.0   | 20   | 22.8504         | 80.2116 | 70.3704 | 80.2116 | 80.2116   | 4.0     |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3