---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-sm-py-stackoverflow
  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. -->

# t5-sm-py-stackoverflow

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: 0.0245
- Rouge1: 0.3286
- Rouge2: 0.3124
- Rougel: 0.3279
- Rougelsum: 0.3285

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.0637        | 1.0   | 1500 | 0.0283          | 0.3283 | 0.3119 | 0.3275 | 0.3282    |
| 0.0487        | 2.0   | 3000 | 0.0257          | 0.3287 | 0.3126 | 0.3281 | 0.3287    |
| 0.0381        | 3.0   | 4500 | 0.0245          | 0.3286 | 0.3124 | 0.3279 | 0.3285    |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1