---
tags:
- generated_from_trainer
datasets:
- id_liputan6
model-index:
- name: bert2bert-abs-generationconfig-lr-5e-05-encmaxlen-512-decmaxlen-256
  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-abs-generationconfig-lr-5e-05-encmaxlen-512-decmaxlen-256

This model is a fine-tuned version of [](https://huggingface.co/) on the id_liputan6 dataset.
It achieves the following results on the evaluation set:
- Loss: 8.0988
- R1 Precision: 0.0
- R1 Recall: 0.0
- R1 Fmeasure: 0.0
- R2 Precision: 0.0
- R2 Recall: 0.0
- R2 Fmeasure: 0.0
- Rl Precision: 0.0
- Rl Recall: 0.0
- Rl Fmeasure: 0.0

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|:------------:|:---------:|:-----------:|
| No log        | 1.0   | 8    | 8.4542          | 0.0          | 0.0       | 0.0         | 0.0          | 0.0       | 0.0         | 0.0          | 0.0       | 0.0         |
| No log        | 2.0   | 16   | 8.0988          | 0.0          | 0.0       | 0.0         | 0.0          | 0.0       | 0.0         | 0.0          | 0.0       | 0.0         |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2