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models – AI Model by Dinithi | AlphaNeural AI | AlphaNeural AI
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Dinithi
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models
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transformers
pytorch
bert
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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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: 2.0527
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
2.2979
1.0
8
2.1743
2.268
2.0
16
2.2198
Framework versions
Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.13.2
