---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wikisum
  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. -->

# wikisum

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: 2.2922
- Rouge1: 0.1811
- Rouge2: 0.0673
- Rougel: 0.147
- Rougelsum: 0.147
- Gen Len: 19.0

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.5807        | 0.2236 | 500  | 2.3647          | 0.1813 | 0.0635 | 0.1452 | 0.1453    | 19.0    |
| 2.5059        | 0.4472 | 1000 | 2.3190          | 0.1823 | 0.0663 | 0.1473 | 0.1473    | 19.0    |
| 2.4945        | 0.6708 | 1500 | 2.3003          | 0.1808 | 0.0666 | 0.1468 | 0.1467    | 19.0    |
| 2.4963        | 0.8945 | 2000 | 2.2922          | 0.1811 | 0.0673 | 0.147  | 0.147     | 19.0    |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1