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bhr_descriptions_trained_BiomedBERT – AI Model by imadejski | AlphaNeural AI
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imadejski
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bhr_descriptions_trained_BiomedBERT
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bhr_descriptions_trained_BiomedBERT
This model is a fine-tuned version of
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1232
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
31
2.3015
No log
2.0
62
2.1430
No log
3.0
93
2.0668
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
