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SimpleQAModel – AI Model by Taksshinamoorthy | AlphaNeural AI

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Taksshinamoorthy/
SimpleQAModel

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distilbert/distilbert-base-uncased

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SimpleQAModel

This model is a fine-tuned version of distilbert-base-uncased on the None 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: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1