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output – AI Model by EJaalborg2022 | AlphaNeural AI

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EJaalborg2022/
output

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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output

This model is a fine-tuned version of bert-base-uncased 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: 5e-05
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

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Tokenizers 0.13.2