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pubmedbert-single-drug – AI Model by shubhangiisankar | AlphaNeural AI
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pubmedbert-single-drug
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transformers
safetensors
bert
text-classification
generated_from_trainer
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
finetune
mit
endpoints_compatible
us
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pubmedbert-single-drug
This model is a fine-tuned version of
microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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
0.0027
1.0
1057
0.0000
0.0010
2.0
2114
0.0003
0.0005
3.0
3171
0.0000
Framework versions
Transformers 5.1.0
Pytorch 2.9.0+cu126
Datasets 4.5.0
Tokenizers 0.22.2
