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

# summarization_model

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: 2.3498
- Rouge1: 0.2026
- Rouge2: 0.0961
- Rougel: 0.1673
- Rougelsum: 0.167
- 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: 16
- eval_batch_size: 16
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 62   | 2.7994          | 0.1344 | 0.0398 | 0.1102 | 0.1104    | 20.0    |
| No log        | 2.0   | 124  | 2.5713          | 0.154  | 0.0588 | 0.1246 | 0.1243    | 20.0    |
| No log        | 3.0   | 186  | 2.4844          | 0.162  | 0.0621 | 0.1313 | 0.1311    | 20.0    |
| No log        | 4.0   | 248  | 2.4358          | 0.1892 | 0.0847 | 0.1551 | 0.1549    | 20.0    |
| No log        | 5.0   | 310  | 2.4020          | 0.1969 | 0.0947 | 0.1631 | 0.1628    | 20.0    |
| No log        | 6.0   | 372  | 2.3818          | 0.1998 | 0.096  | 0.1653 | 0.1652    | 20.0    |
| No log        | 7.0   | 434  | 2.3649          | 0.2014 | 0.0967 | 0.167  | 0.1668    | 20.0    |
| No log        | 8.0   | 496  | 2.3570          | 0.2013 | 0.0959 | 0.1667 | 0.1665    | 20.0    |
| 2.7505        | 9.0   | 558  | 2.3518          | 0.2021 | 0.0962 | 0.1669 | 0.1668    | 20.0    |
| 2.7505        | 10.0  | 620  | 2.3498          | 0.2026 | 0.0961 | 0.1673 | 0.167     | 20.0    |


### Framework versions

- Transformers 4.53.2
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4