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4-way-detection-prop-16-deberta – AI Model by ultra-coder54732 | AlphaNeural AI
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4-way-detection-prop-16-deberta
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transformers
pytorch
tensorboard
deberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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4-way-detection-prop-16-deberta
This model is a fine-tuned version of
microsoft/deberta-base
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: 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: 10
Training results
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
