---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MTSUSpring2025SoftwareEngineering
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MTSUSpring2025SoftwareEngineering

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: 1.2226
- Rouge1: 0.0823
- Rouge2: 0.0672
- Rougel: 0.0799
- Rougelsum: 0.0798
- Gen Len: 6.8086

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.6211        | 1.0   | 14778  | 1.4386          | 0.086  | 0.0686 | 0.0831 | 0.0831    | 7.0473  |
| 1.5116        | 2.0   | 29556  | 1.3540          | 0.0836 | 0.0677 | 0.0811 | 0.0811    | 6.9131  |
| 1.4459        | 3.0   | 44334  | 1.3019          | 0.0874 | 0.0708 | 0.0847 | 0.0846    | 7.1384  |
| 1.42          | 4.0   | 59112  | 1.2729          | 0.0843 | 0.0687 | 0.0818 | 0.0817    | 6.9433  |
| 1.3683        | 5.0   | 73890  | 1.2490          | 0.0838 | 0.0684 | 0.0814 | 0.0812    | 6.916   |
| 1.3589        | 6.0   | 88668  | 1.2357          | 0.0847 | 0.0692 | 0.0822 | 0.0821    | 6.995   |
| 1.353         | 7.0   | 103446 | 1.2245          | 0.0825 | 0.0673 | 0.08   | 0.0799    | 6.8302  |
| 1.3506        | 8.0   | 118224 | 1.2226          | 0.0823 | 0.0672 | 0.0799 | 0.0798    | 6.8086  |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1