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Bio_ClinicalBERT-SurgicalCardiothoracic – AI Model by Gaborandi | AlphaNeural AI
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Gaborandi
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Bio_ClinicalBERT-SurgicalCardiothoracic
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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Bio_ClinicalBERT-SurgicalCardiothoracic
This model is a fine-tuned version of
emilyalsentzer/Bio_ClinicalBERT
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8426
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
13144
0.9092
No log
2.0
26288
0.8575
No log
3.0
39432
0.8417
Framework versions
Transformers 4.17.0
Pytorch 1.8.0
Datasets 2.2.2
Tokenizers 0.11.6
