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biobert-base-cased-v1.2-finetuned-PET – AI Model by stephenhbarlow | AlphaNeural AI
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stephenhbarlow
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biobert-base-cased-v1.2-finetuned-PET
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transformers
pytorch
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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biobert-base-cased-v1.2-finetuned-PET
This model is a fine-tuned version of
dmis-lab/biobert-base-cased-v1.2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1756
Accuracy: 0.9393
F1: 0.9244
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3531
1.0
16
0.1964
0.9252
0.8995
0.3187
2.0
32
0.1756
0.9393
0.9244
Framework versions
Transformers 4.24.0
Pytorch 1.14.0.dev20221117
Datasets 2.5.2
Tokenizers 0.13.1
