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

# t5-small-MedicoSummarizer

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: 2.8533
- Rouge1: 0.3234
- Rouge2: 0.0787
- Rougel: 0.1967
- Rougelsum: 0.1965
- Gen Len: 123.98

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.2353        | 1.0   | 1563  | 2.9967          | 0.3034 | 0.0717 | 0.1837 | 0.1836    | 117.308 |
| 3.1623        | 2.0   | 3126  | 2.9421          | 0.3178 | 0.0763 | 0.1941 | 0.1941    | 121.529 |
| 3.1149        | 3.0   | 4689  | 2.9152          | 0.3223 | 0.078  | 0.1964 | 0.1964    | 123.223 |
| 3.1038        | 4.0   | 6252  | 2.8929          | 0.3245 | 0.0793 | 0.1979 | 0.1978    | 123.491 |
| 3.0728        | 5.0   | 7815  | 2.8802          | 0.3227 | 0.0777 | 0.1973 | 0.1972    | 123.6   |
| 3.0592        | 6.0   | 9378  | 2.8714          | 0.3213 | 0.0788 | 0.1966 | 0.1965    | 123.604 |
| 3.0448        | 7.0   | 10941 | 2.8635          | 0.3211 | 0.0776 | 0.1959 | 0.1957    | 123.632 |
| 3.0416        | 8.0   | 12504 | 2.8561          | 0.3204 | 0.0777 | 0.1957 | 0.1955    | 123.851 |
| 3.0324        | 9.0   | 14067 | 2.8548          | 0.3237 | 0.0788 | 0.1965 | 0.1963    | 123.934 |
| 3.0375        | 10.0  | 15630 | 2.8533          | 0.3234 | 0.0787 | 0.1967 | 0.1965    | 123.98  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0