Firmansyah-Ibrahim/indobart-silver-standard-lora

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indobart-silver-standard-lora

This model is a fine-tuned version of indobenchmark/indobart-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.8453
• —Rouge1: 21.8211
• —Rouge2: 11.2186
• —Rougel: 21.525
• —Rougelsum: 21.5204

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.0.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.8.3
• —Tokenizers 0.22.2