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

# summarize

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7414
- Rouge1: 0.1691
- Rouge2: 0.0572
- Rougel: 0.1342
- Rougelsum: 0.1342
- 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.1704        | 1.0   | 500  | 2.8278          | 0.1619 | 0.0527 | 0.1283 | 0.1283    | 19.0    |
| 2.9742        | 2.0   | 1000 | 2.7769          | 0.1666 | 0.0553 | 0.1322 | 0.1322    | 19.0    |
| 2.9285        | 3.0   | 1500 | 2.7561          | 0.1674 | 0.0562 | 0.1326 | 0.1326    | 19.0    |
| 2.903         | 4.0   | 2000 | 2.7452          | 0.1679 | 0.0562 | 0.1329 | 0.1329    | 19.0    |
| 2.8917        | 5.0   | 2500 | 2.7414          | 0.1691 | 0.0572 | 0.1342 | 0.1342    | 19.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2