metadata

language:
  - id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
  - generated_from_trainer
datasets:
  - id_liputan6
metrics:
  - rouge
model-index:
  - name: liputan6-pt-pl5
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: id_liputan6 canonical
          type: id_liputan6
          config: canonical
          split: validation
          args: canonical
        metrics:
          - name: Rouge1
            type: rouge
            value: 29.4984

liputan6-pt-pl5

This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on the id_liputan6 canonical dataset. It achieves the following results on the evaluation set:

Loss: 2.7526
Rouge1: 29.4984
Rouge2: 14.2115
Rougel: 24.9259
Rougelsum: 27.5126
Gen Len: 59.201

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: 0.001
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
4.309	1.0	63	3.4072	20.861	8.8494	18.3118	19.3333	41.853
3.6184	2.0	126	3.1460	25.8149	9.9065	21.2242	23.6534	51.44
3.3773	3.0	189	2.9716	27.0263	11.563	22.6018	25.0075	55.215
3.1793	4.0	252	2.8266	28.6871	12.9802	24.038	26.6558	52.119
3.0027	5.0	315	2.7526	29.5518	13.5408	24.834	27.6096	51.956

Framework versions

Transformers 4.40.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1