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

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: 0.1236
- Rouge1: 14.0749
- Rouge2: 4.3466
- Rougel: 14.0821
- Rougelsum: 14.0851
- Gen Len: 17.3883

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 0.1438        | 1.0   | 1833 | 0.1265          | 14.0996 | 4.3243 | 14.1043 | 14.1011   | 17.3871 |
| 0.1346        | 2.0   | 3666 | 0.1249          | 14.0652 | 4.348  | 14.0735 | 14.0794   | 17.3884 |
| 0.1343        | 3.0   | 5499 | 0.1236          | 14.0749 | 4.3466 | 14.0821 | 14.0851   | 17.3883 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.14.1