---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-multinews
  results: []
pipeline_tag: summarization
---

<!-- 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-multinews

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: 2.7276
- Rouge1: 14.7073
- Rouge2: 4.8849
- Rougel: 11.336
- Rougelsum: 13.1015
- Gen Len: 18.98

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.2539        | 1.0   | 506  | 2.8142          | 14.3316 | 4.7443 | 11.1018 | 12.8337   | 18.98   |
| 3.0164        | 2.0   | 1012 | 2.7613          | 14.749  | 4.9494 | 11.3621 | 13.1838   | 18.98   |
| 2.9764        | 3.0   | 1518 | 2.7402          | 14.7452 | 4.8903 | 11.367  | 13.1816   | 18.98   |
| 2.9514        | 4.0   | 2024 | 2.7307          | 14.7309 | 4.8615 | 11.3391 | 13.1464   | 18.98   |
| 2.9446        | 5.0   | 2530 | 2.7276          | 14.7073 | 4.8849 | 11.336  | 13.1015   | 18.98   |


### Framework versions

- Transformers 4.40.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1