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indosum-base-3

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

  • Loss: 0.7690
  • Rouge1: 71.9504
  • Rouge2: 64.7658
  • Rougel: 68.7524
  • Rougelsum: 70.9978
  • Gen Len: 99.2

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
1.1937 1.0 892 0.8370 64.7751 56.7545 61.4956 63.81 90.984
0.6828 2.0 1784 0.6911 69.9628 62.6338 66.8253 69.0763 101.1173
0.4847 3.0 2676 0.6692 69.9807 62.5614 66.7619 69.0683 95.6133
0.3348 4.0 3568 0.7029 70.9247 63.6191 67.7749 70.0079 100.1547
0.1988 5.0 4460 0.7690 71.4437 64.1873 68.2379 70.5264 98.6667

Framework versions

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