---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: TokenizerTestingMTSUFall2024SoftwareEngineering
  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. -->

# TokenizerTestingMTSUFall2024SoftwareEngineering

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: 1.5834
- Rouge1: 0.2719
- Rouge2: 0.2175
- Rougel: 0.2629
- Rougelsum: 0.2629
- Gen Len: 18.9753

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.8415        | 1.0   | 12975 | 1.6850          | 0.2704 | 0.2117 | 0.2604 | 0.2604    | 18.9826 |
| 1.7849        | 2.0   | 25950 | 1.6190          | 0.2713 | 0.2159 | 0.2621 | 0.262     | 18.9747 |
| 1.7692        | 3.0   | 38925 | 1.5916          | 0.2718 | 0.2172 | 0.2628 | 0.2627    | 18.9762 |
| 1.74          | 4.0   | 51900 | 1.5834          | 0.2719 | 0.2175 | 0.2629 | 0.2629    | 18.9753 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1