---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets: ccdv/pubmed-summarization
metrics:
- rouge
model-index:
- name: t5-small-finetuned-pubmed
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-finetuned-pubmed

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on a truncated [PubMed Summarization](https://huggingface.co/datasets/ccdv/pubmed-summarization) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7252
- Rouge1: 19.4457
- Rouge2: 3.125
- Rougel: 18.3168
- Rougelsum: 18.5625

## 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: 5.6e-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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.2735        | 1.0   | 13   | 2.9820          | 18.745  | 3.7918 | 15.7876 | 15.8512   |
| 3.0428        | 2.0   | 26   | 2.8828          | 17.953  | 2.5    | 15.49   | 15.468    |
| 2.6259        | 3.0   | 39   | 2.8283          | 21.5532 | 5.9278 | 19.7523 | 19.9232   |
| 3.0795        | 4.0   | 52   | 2.7910          | 20.9244 | 5.9278 | 19.8685 | 20.0181   |
| 2.8276        | 5.0   | 65   | 2.7613          | 20.6403 | 3.125  | 18.0574 | 18.2227   |
| 2.64          | 6.0   | 78   | 2.7404          | 19.4457 | 3.125  | 18.3168 | 18.5625   |
| 2.5525        | 7.0   | 91   | 2.7286          | 19.4457 | 3.125  | 18.3168 | 18.5625   |
| 2.4951        | 8.0   | 104  | 2.7252          | 19.4457 | 3.125  | 18.3168 | 18.5625   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.13.2