---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5-medi
  results: []
datasets:
- wesley7137/qa_dataset
language:
- en
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5-medi

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on Medical QA dataset (wesley7137/qa_dataset).
It is just for educational purpose and does not provide accurate results.
It achieves the following results on the evaluation set:
- Loss: 0.7130
- Rouge1: 0.3189
- Rouge2: 0.2700
- Rougel: 0.3068
- Rougelsum: 0.3149

## Model description
                  This is a fine-tuned T5 model for Question-Answering tasks in Medical Field

## Intended uses & limitations

May struggle with creative or subjective content. Requires fine-tuning for different tasks

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 223  | 0.8782          | 0.3148 | 0.2630 | 0.3010 | 0.3098    |
| No log        | 2.0   | 446  | 0.7820          | 0.3148 | 0.2650 | 0.3026 | 0.3111    |
| 1.1386        | 3.0   | 669  | 0.7456          | 0.3170 | 0.2681 | 0.3049 | 0.3131    |
| 1.1386        | 4.0   | 892  | 0.7259          | 0.3198 | 0.2699 | 0.3072 | 0.3156    |
| 0.7884        | 5.0   | 1115 | 0.7130          | 0.3189 | 0.2700 | 0.3068 | 0.3149    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2