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biogpt-ner-checkpoint – AI Model by wu1701 | AlphaNeural AI
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wu1701
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biogpt-ner-checkpoint
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transformers
safetensors
gpt2
token-classification
generated_from_trainer
ncbi_disease
microsoft/biogpt
finetune
mit
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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biogpt-ner-checkpoint
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: nan
Precision: 0.5694
Recall: 0.5412
F1: 0.5549
Accuracy: 0.8275
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 adamw_torch 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
Framework versions
Transformers 4.51.2
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.21.1
