---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-train
  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-train

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: 2.2669
- Rouge1: 43.2372
- Rouge2: 21.6755
- Rougel: 38.1637
- Rougelsum: 38.5444

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 3.2032        | 1.0   | 45   | 2.6305          | 34.393  | 15.4821 | 30.3601 | 30.5865   |
| 2.6291        | 2.0   | 90   | 2.4169          | 38.2327 | 18.4622 | 34.2887 | 34.3385   |
| 2.4294        | 3.0   | 135  | 2.3395          | 40.4405 | 19.927  | 36.559  | 36.8095   |
| 2.3191        | 4.0   | 180  | 2.3059          | 41.4214 | 20.4534 | 36.6399 | 36.9088   |
| 2.2949        | 5.0   | 225  | 2.2857          | 42.6906 | 21.1492 | 37.5557 | 37.8722   |
| 2.2591        | 6.0   | 270  | 2.2762          | 43.1598 | 21.6179 | 38.1235 | 38.5053   |
| 2.1722        | 7.0   | 315  | 2.2680          | 43.4447 | 21.8048 | 38.4077 | 38.7384   |
| 2.1993        | 8.0   | 360  | 2.2669          | 43.2372 | 21.6755 | 38.1637 | 38.5444   |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1