---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- pubmed-summarization
model-index:
- name: pubmed_summarization
  results: []
---

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

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the pubmed-summarization dataset.

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 417  | 2.4062          | 0.137  | 0.0532 | 0.1153 | 0.1152    | 18.9946 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1