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biobert-base-cased-v1.2-finetuned-smpc – AI Model by sophy | AlphaNeural AI
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biobert-base-cased-v1.2-finetuned-smpc
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transformers
pytorch
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
dmis-lab/biobert-base-cased-v1.2
finetune
autotrain_compatible
endpoints_compatible
us
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biobert-base-cased-v1.2-finetuned-smpc
This model is a fine-tuned version of
dmis-lab/biobert-base-cased-v1.2
on SMPC (
https://www.medicines.org.uk/
) dataset. It achieves the following results on the evaluation set:
Loss: 1.0198
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.3354
1.0
157
1.1175
1.1599
2.0
314
1.0456
1.1063
3.0
471
1.0232
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3
