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abnormality_classifier_biobert_v1_3_epochs – AI Model by Granoladata | AlphaNeural AI
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abnormality_classifier_biobert_v1_3_epochs
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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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abnormality_classifier_biobert_v1_3_epochs
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:
Loss: 0.2835
Accuracy: 0.957
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0099
1.0
1125
0.2986
0.952
0.0048
2.0
2250
0.2623
0.961
0.0063
3.0
3375
0.2835
0.957
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
