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

# google-t5-summarizer

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: 2.3654
- Rouge1: 0.1892
- Rouge2: 0.0938
- Rougel: 0.1604
- Rougelsum: 0.1604
- Gen Len: 20.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 124  | 2.6000          | 0.1394 | 0.0499 | 0.1158 | 0.1159    | 20.0    |
| No log        | 2.0   | 248  | 2.4289          | 0.1666 | 0.0747 | 0.1407 | 0.1404    | 20.0    |
| No log        | 3.0   | 372  | 2.3809          | 0.1846 | 0.09   | 0.1562 | 0.1562    | 20.0    |
| No log        | 4.0   | 496  | 2.3654          | 0.1892 | 0.0938 | 0.1604 | 0.1604    | 20.0    |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.9.0
- Datasets 4.2.0
- Tokenizers 0.22.1