---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: synthea_t5_summarization_model
  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. -->

# synthea_t5_summarization_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9861
- Rouge1: 0.2084
- Rouge2: 0.0262
- Rougel: 0.2027
- Rougelsum: 0.2039
- Gen Len: 12.3023

## 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 22   | 3.8819          | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| No log        | 2.0   | 44   | 3.2929          | 0.0162 | 0.004  | 0.0149 | 0.0146    | 18.907  |
| No log        | 3.0   | 66   | 3.0590          | 0.1346 | 0.0159 | 0.1313 | 0.1319    | 14.9651 |
| No log        | 4.0   | 88   | 2.9861          | 0.2084 | 0.0262 | 0.2027 | 0.2039    | 12.3023 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2