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VV2 – AI Model by VenkatManda | AlphaNeural AI | AlphaNeural AI
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VenkatManda
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VV2
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transformers
safetensors
bert
question-answering
generated_from_trainer
squad_v2
VenkatManda/V2
finetune
mit
endpoints_compatible
us
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VV2
This model is a fine-tuned version of
VenkatManda/V2
on the squad_v2 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: 1.6e-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: 1.0
Training results
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.16.1
Tokenizers 0.15.0
