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s4 – AI Model by ShynBui | AlphaNeural AI | AlphaNeural AI

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ShynBui/
s4

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question-answering

generated_from_trainer

google-bert/bert-base-cased

endpoints_compatible

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s4

This model is a fine-tuned version of bert-base-cased 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: 0.0001
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: 3

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3