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

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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: 2.2773
- Rouge2 Precision: 0.1744
- Rouge2 Recall: 0.187
- Rouge2 Fmeasure: 0.1784

## 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 1.3309        | 1.0   | 4040 | 2.2773          | 0.1744           | 0.187         | 0.1784          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1