---
license: apache-2.0
base_model: cahya/bert2bert-indonesian-summarization
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: finetuning_summarization
  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. -->

# finetuning_summarization

This model is a fine-tuned version of [cahya/bert2bert-indonesian-summarization](https://huggingface.co./cahya/bert2bert-indonesian-summarization) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6759
- Rouge1: 0.8455
- Rouge2: 0.742
- Rougel: 0.8486
- Rougelsum: 0.8475
- Gen Len: 23.7368

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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   | 5    | 1.3699          | 0.8443 | 0.7258 | 0.8426 | 0.8435    | 25.8421 |
| No log        | 2.0   | 10   | 1.0257          | 0.8282 | 0.7115 | 0.8293 | 0.8275    | 25.0    |
| No log        | 3.0   | 15   | 0.7871          | 0.8384 | 0.7277 | 0.8397 | 0.8396    | 24.3158 |
| No log        | 4.0   | 20   | 0.7078          | 0.8339 | 0.7318 | 0.8358 | 0.8348    | 23.4211 |
| No log        | 5.0   | 25   | 0.6994          | 0.843  | 0.7396 | 0.8451 | 0.845     | 24.0    |
| No log        | 6.0   | 30   | 0.6832          | 0.8445 | 0.7413 | 0.8419 | 0.842     | 23.4737 |
| No log        | 7.0   | 35   | 0.6768          | 0.8429 | 0.742  | 0.8451 | 0.8448    | 23.6842 |
| No log        | 8.0   | 40   | 0.6736          | 0.843  | 0.7396 | 0.8451 | 0.845     | 23.6842 |
| No log        | 9.0   | 45   | 0.6750          | 0.843  | 0.7396 | 0.8451 | 0.845     | 23.6842 |
| No log        | 10.0  | 50   | 0.6759          | 0.8455 | 0.742  | 0.8486 | 0.8475    | 23.7368 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2