metadata

license: mit
base_model: cahya/bert-base-indonesian-1.5G
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: liputan_6_model
    results: []

liputan_6_model

This model is a fine-tuned version of cahya/bert-base-indonesian-1.5G on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.3791
Rouge1: 30.8191
Rouge2: 15.7622
Rougel: 25.4728
Rougelsum: 28.2613

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.4606	0.0	16	4.3791	30.8191	15.7622	25.4728	28.2613

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0