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brief_BioBert – AI Model by mi-rei | AlphaNeural AI
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mi-rei
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brief_BioBert
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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brief_BioBert
This model is a fine-tuned version of
emilyalsentzer/Bio_ClinicalBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6745
Accuracy: 0.5770
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6943
1.0
1394
0.6817
0.5713
0.6597
2.0
2788
0.6745
0.5770
Framework versions
Transformers 4.30.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.13.3
