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modality_classifier_biobert_ROC_v0 – AI Model by Granoladata | AlphaNeural AI
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modality_classifier_biobert_ROC_v0
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transformers
safetensors
bert
text-classification
generated_from_trainer
dmis-lab/biobert-v1.1
finetune
autotrain_compatible
endpoints_compatible
us
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modality_classifier_biobert_ROC_v0
This model is a fine-tuned version of
dmis-lab/biobert-v1.1
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0609
eval_roc_auc: 0.9956
eval_runtime: 15.3385
eval_samples_per_second: 98.38
eval_steps_per_second: 6.194
epoch: 3.0
step: 2547
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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Framework versions
Transformers 4.39.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
