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covid_qa_mpnet – AI Model by shaina | AlphaNeural AI
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shaina
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covid_qa_mpnet
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transformers
pytorch
tensorboard
mpnet
question-answering
generated_from_trainer
endpoints_compatible
us
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covid_qa_mpnet
This model is a fine-tuned version of
microsoft/mpnet-base
on our COVID-19 dataset. It achieves the following results on the evaluation set:
Loss: 0.1352
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
0.2477
1.0
3895
0.1869
0.1838
2.0
7790
0.1352
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3
