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BioGPT-Jinzhen – AI Model by hujinzhe | AlphaNeural AI
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hujinzhe
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BioGPT-Jinzhen
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transformers
safetensors
gpt2
token-classification
generated_from_trainer
microsoft/biogpt
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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results
This model is a fine-tuned version of
microsoft/biogpt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1740
Precision: 0.3178
Recall: 0.3977
F1: 0.3533
Accuracy: 0.9460
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.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
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2923
1.0
85
0.2306
0.2414
0.1957
0.2161
0.9273
0.206
2.0
170
0.1879
0.2875
0.3431
0.3129
0.9419
0.1503
3.0
255
0.1740
0.3178
0.3977
0.3533
0.9460
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Tokenizers 0.21.1
