---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bio_summary_model
  results: []
---

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

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8296
- Rouge1: 0.1517
- Rouge2: 0.0309
- Rougel: 0.1125
- Rougelsum: 0.1125
- Gen Len: 18.9298

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.1554        | 1.0   | 1087 | 2.9142          | 0.1465 | 0.0278 | 0.1083 | 0.1083    | 18.9298 |
| 3.0708        | 2.0   | 2174 | 2.8596          | 0.1493 | 0.0286 | 0.1111 | 0.1111    | 18.9298 |
| 3.0261        | 3.0   | 3261 | 2.8355          | 0.1526 | 0.0305 | 0.1123 | 0.1124    | 18.9298 |
| 3.0139        | 4.0   | 4348 | 2.8296          | 0.1517 | 0.0309 | 0.1125 | 0.1125    | 18.9298 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1