---
tags:
- generated_from_trainer
datasets:
- id_liputan6
model-index:
- name: bert2bert-dropout-0.3-lr-5e-05-ds-canonical
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert2bert-dropout-0.3-lr-5e-05-ds-canonical

This model was trained from scratch on the id_liputan6 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4528
- Rouge2 Precision: 0.1519
- Rouge2 Recall: 0.1497
- Rouge2 Fmeasure: 0.1496

## 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: 5e-05
- train_batch_size: 8
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 2.6029        | 1.0   | 619  | 2.2821          | 0.1605           | 0.1573        | 0.1576          |
| 2.2629        | 2.0   | 1238 | 2.3146          | 0.1566           | 0.1588        | 0.1565          |
| 2.028         | 3.0   | 1857 | 2.3690          | 0.1548           | 0.1513        | 0.1519          |
| 1.8267        | 4.0   | 2476 | 2.4174          | 0.1527           | 0.1491        | 0.1497          |
| 1.5451        | 5.0   | 3095 | 2.4528          | 0.1519           | 0.1497        | 0.1496          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2