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biobert-v1.1-biomedicalQuestionAnswering – AI Model by Shushant | AlphaNeural AI
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Shushant
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biobert-v1.1-biomedicalQuestionAnswering
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
endpoints_compatible
us
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biobert-v1.1-biomedicalQuestionAnswering
This model is a fine-tuned version of
dmis-lab/biobert-v1.1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9009
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
22
3.7409
No log
2.0
44
3.1852
No log
3.0
66
3.0342
No log
4.0
88
2.9416
No log
5.0
110
2.9009
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3
