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

# summary-generator

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6233
- Rouge1: 0.2385
- Rouge2: 0.1893
- Rougel: 0.2291
- Rougelsum: 0.2291
- Gen Len: 18.9979

## 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: 32
- eval_batch_size: 32
- 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.2692        | 1.0   | 593  | 1.7477          | 0.2295 | 0.1793 | 0.2195 | 0.2195    | 19.0012 |
| 1.9395        | 2.0   | 1186 | 1.6635          | 0.2351 | 0.1859 | 0.2251 | 0.2251    | 18.9979 |
| 1.8828        | 3.0   | 1779 | 1.6317          | 0.2376 | 0.1883 | 0.228  | 0.228     | 18.9979 |
| 1.8478        | 4.0   | 2372 | 1.6233          | 0.2385 | 0.1893 | 0.2291 | 0.2291    | 18.9979 |


### Framework versions

- Transformers 5.8.1
- Pytorch 2.5.1
- Datasets 4.8.5
- Tokenizers 0.22.2