---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MTSUFall2024SoftwareEngineering
  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. -->

# MTSUFall2024SoftwareEngineering

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0628
- Rouge1: 0.2406
- Rouge2: 0.187
- Rougel: 0.2337
- Rougelsum: 0.2336
- Gen Len: 18.9969

## 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: 14
- eval_batch_size: 14
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.8688        | 1.0   | 748  | 2.1863          | 0.2392 | 0.1855 | 0.232  | 0.2319    | 18.9985 |
| 2.4032        | 2.0   | 1496 | 2.1045          | 0.2387 | 0.1869 | 0.232  | 0.232     | 18.9973 |
| 2.3034        | 3.0   | 2244 | 2.0720          | 0.239  | 0.1869 | 0.2324 | 0.2323    | 18.9969 |
| 2.2666        | 4.0   | 2992 | 2.0628          | 0.2406 | 0.187  | 0.2337 | 0.2336    | 18.9969 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1