johannawawi/3_fine-tuning-java-indo-sentiment-analysist-3-class

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results

This model is a fine-tuned version of w11wo/indonesian-roberta-base-sentiment-classifier on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2696
• —Accuracy: 0.9059
• —F1 Macro: 0.9060
• —F1 Weighted: 0.9060
• —Precision Macro: 0.9065
• —Recall Macro: 0.9058
• —Precision Weighted: 0.9065
• —Recall Weighted: 0.9059

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: 3e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1