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binary_sanity_check – AI Model by yacine-djm | AlphaNeural AI

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yacine-djm/
binary_sanity_check

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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binary_sanity_check

This model is a fine-tuned version of Raccourci/fairguest-bert on an unknown 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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Framework versions

Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2