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biogpt-tac2018-drug-ner – AI Model by vpadmak1 | AlphaNeural AI
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vpadmak1
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biogpt-tac2018-drug-ner
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transformers
safetensors
biogpt
token-classification
generated_from_trainer
vpadmak1/biogpt-ncbi-disease-ner
finetune
mit
endpoints_compatible
us
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biogpt-tac2018-drug-ner
This model is a fine-tuned version of
vpadmak1/biogpt-ncbi-disease-ner
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0245
Precision: 0.4615
Recall: 0.6207
F1: 0.5294
Accuracy: 0.9912
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
97
0.0384
0.4048
0.6071
0.4857
0.9834
No log
2.0
194
0.0263
0.5
0.4643
0.4815
0.9907
No log
3.0
291
0.0267
0.5625
0.6429
0.6
0.992
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
