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daedra – AI Model by chrisvoncsefalvay | AlphaNeural AI
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daedra
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transformers
safetensors
bert
text-classification
generated_from_trainer
dmis-lab/biobert-base-cased-v1.2
finetune
10.57967/hf/1757
autotrain_compatible
endpoints_compatible
us
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daedra
This model is a fine-tuned version of
dmis-lab/biobert-base-cased-v1.2
on the
VAERS outcomes data set
. The model and its functionality is described in
this paper
.
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: 5
Framework versions
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.3.2
Tokenizers 0.15.1
