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albert-squad-v2-covid-qa-deepset – AI Model by armageddon | AlphaNeural AI
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armageddon
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albert-squad-v2-covid-qa-deepset
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transformers
pytorch
tensorboard
albert
question-answering
generated_from_trainer
covid_qa_deepset
apache-2.0
endpoints_compatible
us
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covid_qa_analysis_albert_base_squad_v2
This model is a fine-tuned version of
abhilash1910/albert-squad-v2
on the covid_qa_deepset dataset.
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
distributed_type: tpu
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.16.2
Pytorch 1.9.0+cu102
Datasets 1.18.3
Tokenizers 0.11.6