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: 18.3412

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: 3.8205
Rouge1: 18.3412
Rouge2: 4.7361
Rougel: 15.5136
Rougelsum: 16.6913
Gen Len: 35.5

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
4.799	1.0	63	4.1142	13.0788	2.2394	10.8409	11.8062	40.873
4.179	2.0	126	3.9928	16.7604	3.2541	13.8889	15.1654	32.962
3.9656	3.0	189	3.8832	18.1366	3.9918	15.2392	16.4266	30.549
3.8038	4.0	252	3.8552	18.2504	4.0948	15.4777	16.7374	28.411
3.6617	5.0	315	3.8205	18.6328	4.2703	15.6625	16.9103	30.177

Framework versions

Transformers 4.40.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1