biogpt-ner – AI Model by ttlanhhh | AlphaNeural AI

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ttlanhhh/
biogpt-ner

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token-classification

generated_from_trainer

microsoft/biogpt

autotrain_compatible

text-generation-inference

endpoints_compatible

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biogpt-ner

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

Loss: 0.1892
Overall Precision: 0.4664
Overall Recall: 0.5553
Overall F1: 0.5070
Overall Accuracy: 0.9572

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.2307	1.0	1358	0.1703	0.3849	0.3888	0.3869	0.9497
0.1415	2.0	2716	0.1589	0.3761	0.5286	0.4395	0.9490
0.0932	3.0	4074	0.1515	0.4580	0.5197	0.4869	0.9560
0.0763	4.0	5432	0.1763	0.4885	0.5146	0.5012	0.9583
0.0586	5.0	6790	0.1892	0.4664	0.5553	0.5070	0.9572

Framework versions

Transformers 4.39.3
Pytorch 1.12.1+cu113
Datasets 2.18.0
Tokenizers 0.15.2