pramudyalyza/bert-indonesian-finetuned-news

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bert-indonesian-finetuned-news

This model is a fine-tuned version of ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 1.1852
• —evalmodelpreparation_time: 0.0032
• —eval_accuracy: 0.73
• —eval_runtime: 0.7599
• —evalsamplesper_second: 131.604
• —evalstepsper_second: 17.109
• —step: 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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 70
• —num_epochs: 7

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.19.1