Firmansyah-Ibrahim/idt5_base-silver-standard-aware-lora

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idt5_base-silver-standard-aware-lora

This model is a fine-tuned version of muchad/idt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 5.7379
• —Rouge1: 0.4102
• —Rouge2: 0.0842
• —Rougel: 0.4187
• —Rougelsum: 0.4134

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