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

# summarization

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: 2.5596
- Rouge1: 0.2002
- Rouge2: 0.0988
- Rougel: 0.1673
- Rougelsum: 0.1672
- 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: 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 124  | 2.6496          | 0.1597 | 0.0618 | 0.1338 | 0.1337    | 19.0    |
| No log        | 2.0   | 248  | 2.5953          | 0.1968 | 0.0946 | 0.1651 | 0.1653    | 19.0    |
| No log        | 3.0   | 372  | 2.5667          | 0.2006 | 0.0989 | 0.1678 | 0.1677    | 19.0    |
| No log        | 4.0   | 496  | 2.5596          | 0.2002 | 0.0988 | 0.1673 | 0.1672    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0