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PubMedBERT-Coursework – AI Model by teotataru | AlphaNeural AI
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PubMedBERT-Coursework
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transformers
safetensors
bert
text-classification
generated_from_trainer
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
finetune
mit
endpoints_compatible
us
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PubMedBERT-Coursework
This model is a fine-tuned version of
microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4042
Macro F1: 0.7830
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: 16
eval_batch_size: 16
seed: 28
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: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Macro F1
0.4328
1.0
1983
0.4126
0.7605
0.3709
2.0
3966
0.3919
0.7684
0.3190
3.0
5949
0.3965
0.7761
0.2780
4.0
7932
0.4042
0.7830
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
