liputan6-pt-pl50

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: 3.7533
• Rouge1: 19.8017
• Rouge2: 5.8239
• Rougel: 17.0737
• Rougelsum: 18.0279
• Gen Len: 30.789

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
4.7245	1.0	63	3.9912	16.8276	3.6927	14.367	15.3151	30.652
3.9104	2.0	126	3.8609	17.712	4.2061	14.9465	15.9818	35.104
3.6651	3.0	189	3.8036	18.8508	4.6943	15.8363	17.0134	30.749
3.4442	4.0	252	3.7533	19.7665	5.1425	16.7615	18.1456	28.31
3.2664	5.0	315	3.7381	19.5385	5.1106	16.7601	17.9271	29.142

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1