---
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization-base-1
  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-base-1

This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7271
- Rouge1: 0.4977
- Rouge2: 0.0
- Rougel: 0.4973
- Rougelsum: 0.495
- Gen Len: 1.0

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.5441        | 1.0   | 3566  | 0.9228          | 0.4926 | 0.0    | 0.4922 | 0.4906    | 1.0     |
| 0.8328        | 2.0   | 7132  | 0.7919          | 0.5283 | 0.0    | 0.5307 | 0.5279    | 1.0     |
| 0.638         | 3.0   | 10698 | 0.7150          | 0.5054 | 0.0    | 0.508  | 0.5029    | 1.0     |
| 0.4847        | 4.0   | 14264 | 0.6917          | 0.5137 | 0.0    | 0.5162 | 0.5168    | 1.0     |
| 0.3378        | 5.0   | 17830 | 0.7271          | 0.4977 | 0.0    | 0.4973 | 0.495     | 1.0     |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1