---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-cnn-news
  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-cnn-news

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: 2.2247
- Rouge1: 24.0545
- Rouge2: 9.1969
- Rougel: 19.6469
- Rougelsum: 22.1421

## 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: 0.00056
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.082         | 1.0   | 718  | 2.1358          | 23.8021 | 9.0803 | 19.6319 | 22.0566   |
| 1.8509        | 2.0   | 1436 | 2.1768          | 24.3438 | 9.8133 | 20.1128 | 22.2535   |
| 1.6881        | 3.0   | 2154 | 2.1883          | 24.4024 | 9.3123 | 20.1964 | 22.642    |
| 1.569         | 4.0   | 2872 | 2.2127          | 24.4912 | 9.8559 | 20.5182 | 22.7666   |
| 1.4801        | 5.0   | 3590 | 2.2247          | 24.0545 | 9.1969 | 19.6469 | 22.1421   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1