---
tags:
- generated_from_trainer
datasets:
- id_liputan6
model-index:
- name: bert2bert-extreme-dropout-0.5-lr-5e-05-batchsize-4-encmaxlen-2048-decmaxlen-512
  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. -->

# bert2bert-extreme-dropout-0.5-lr-5e-05-batchsize-4-encmaxlen-2048-decmaxlen-512

This model was trained from scratch on the id_liputan6 dataset.
It achieves the following results on the evaluation set:
- Loss: 8.6177
- R1 Precision: 0.0188
- R1 Recall: 0.0105
- R1 Fmeasure: 0.0133
- R2 Precision: 0.0
- R2 Recall: 0.0
- R2 Fmeasure: 0.0
- Rl Precision: 0.0188
- Rl Recall: 0.0105
- Rl Fmeasure: 0.0133

## 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: 2
- eval_batch_size: 2
- 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 | R1 Precision | R1 Recall | R1 Fmeasure | R2 Precision | R2 Recall | R2 Fmeasure | Rl Precision | Rl Recall | Rl Fmeasure |
|:-------------:|:-----:|:------:|:---------------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|
| 7.0769        | 1.0   | 96942  | 7.5336          | 0.0          | 0.0       | 0.0         | 0.0          | 0.0       | 0.0         | 0.0          | 0.0       | 0.0         |
| 7.1014        | 2.0   | 193884 | 7.6800          | 0.0          | 0.0       | 0.0         | 0.0          | 0.0       | 0.0         | 0.0          | 0.0       | 0.0         |
| 7.0648        | 3.0   | 290826 | 8.1448          | 0.0188       | 0.0105    | 0.0133      | 0.0          | 0.0       | 0.0         | 0.0188       | 0.0105    | 0.0133      |
| 7.0594        | 4.0   | 387768 | 8.4518          | 0.0188       | 0.0105    | 0.0133      | 0.0          | 0.0       | 0.0         | 0.0188       | 0.0105    | 0.0133      |
| 7.0322        | 5.0   | 484710 | 8.6177          | 0.0188       | 0.0105    | 0.0133      | 0.0          | 0.0       | 0.0         | 0.0188       | 0.0105    | 0.0133      |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2