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

# results

This model is a fine-tuned version of [cahya/bert2bert-indonesian-summarization](https://huggingface.co/cahya/bert2bert-indonesian-summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5550

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 1.3144          |
| No log        | 2.0   | 10   | 0.9515          |
| No log        | 3.0   | 15   | 0.6830          |
| No log        | 4.0   | 20   | 0.5632          |
| No log        | 5.0   | 25   | 0.5328          |
| No log        | 6.0   | 30   | 0.5182          |
| No log        | 7.0   | 35   | 0.5330          |
| No log        | 8.0   | 40   | 0.5365          |
| No log        | 9.0   | 45   | 0.5613          |
| No log        | 10.0  | 50   | 0.5588          |
| No log        | 11.0  | 55   | 0.5654          |
| No log        | 12.0  | 60   | 0.5587          |
| No log        | 13.0  | 65   | 0.5568          |
| No log        | 14.0  | 70   | 0.5563          |
| No log        | 15.0  | 75   | 0.5550          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1