---
license: apache-2.0
base_model: Falconsai/medical_summarization
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-s19
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-s19

This model is a fine-tuned version of [Falconsai/medical_summarization](https://huggingface.co/Falconsai/medical_summarization) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4137
- Rouge1: 33.1554
- Rouge2: 15.9465
- Rougel: 28.0028
- Rougelsum: 28.0647
- Gen Len: 17.3715

## 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: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.8319        | 1.0   | 625  | 2.4137          | 33.1554 | 15.9465 | 28.0028 | 28.0647   | 17.3715 |


### Framework versions

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