liputan6-unipelt

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: 2.5645
• Rouge1: 1.8031
• Rouge2: 0.4028
• Rougel: 1.5585
• Rougelsum: 1.6132
• Gen Len: 127.0

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: 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
3.9747	1.0	63	3.1043	3.9543	1.0191	3.7375	3.7922	127.0
3.0262	2.0	126	2.7314	5.0276	1.3105	4.1292	4.3574	127.0
2.6214	3.0	189	2.5645	5.2587	1.2673	3.8487	4.3728	127.0
2.3496	4.0	252	2.4158	4.4309	0.9142	3.2152	3.5296	127.0
2.1749	5.0	315	2.3672	5.0669	1.0704	3.6335	4.1011	127.0

Framework versions

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