biogpt-ncbi-disease-ner-task2 – AI Model by sunflowersea | AlphaNeural AI | AlphaNeural AI

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sunflowersea/
biogpt-ncbi-disease-ner-task2

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token-classification

generated_from_trainer

microsoft/biogpt

endpoints_compatible

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biogpt-ncbi-disease-ner-task2

This model is a fine-tuned version of microsoft/biogpt on the ncbi_disease dataset. It achieves the following results on the evaluation set:

Loss: 0.0924
Overall Precision: 0.6952
Overall Recall: 0.7942
Overall F1: 0.7414
Overall Accuracy: 0.9799

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
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.0518	1.0	680	0.0720	0.6472	0.7179	0.6807	0.9763
0.0388	2.0	1360	0.0710	0.6460	0.8069	0.7175	0.9772
0.0146	3.0	2040	0.0924	0.6952	0.7942	0.7414	0.9799

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2