Mardiyyah/CeLLaTe-ner-2class-bioformer16l-baseline-with-gazetteers-lr_2.10

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CeLLaTe-ner-2class-bioformer16l-baseline-with-gazetteers-lr_2.10

This model is a fine-tuned version of bioformers/bioformer-16l on the OTAR3088/CeLLaTe-ner-2class-iob_final dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1077
• —Precision: 0.7897
• —Recall: 0.7607
• —Micro F1: 0.7749
• —Weighted F1: 0.7750
• —Macro F1: 0.7861
• —Accuracy: 0.9821

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: 2.1033235284928615e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 17
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.02
• —num_epochs: 20
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.48.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.2
• —Tokenizers 0.21.0