---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xsum_epoch4
  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-xsum_epoch4

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: 2.4245
- Rouge1: 29.5204
- Rouge2: 8.4931
- Rougel: 22.9705
- Rougelsum: 23.0872
- Gen Len: 18.8221

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.7175        | 1.0   | 7620  | 2.4899          | 28.585  | 7.7626 | 22.1314 | 22.2424   | 18.8174 |
| 2.6605        | 2.0   | 15240 | 2.4486          | 29.2362 | 8.2481 | 22.7049 | 22.8227   | 18.8273 |
| 2.6368        | 3.0   | 22860 | 2.4303          | 29.4228 | 8.4312 | 22.8991 | 23.0192   | 18.8262 |
| 2.6284        | 4.0   | 30480 | 2.4245          | 29.5204 | 8.4931 | 22.9705 | 23.0872   | 18.8221 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1