farizkuy/ner_fine_tuned_gdsc_tutoring_fariz

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nerfinetunedgdsctutoring_fariz

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

• —Loss: 0.8927
• —Precision: 0.5946
• —Recall: 0.5116
• —F1: 0.55
• —Accuracy: 0.8763

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
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.41.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1