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deberta-v3-large-finetuned-DAGPap22 – AI Model by domenicrosati | AlphaNeural AI

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domenicrosati/
deberta-v3-large-finetuned-DAGPap22

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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deberta-v3-large-finetuned-DAGPap22

This model is a fine-tuned version of microsoft/deberta-v3-large 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: 6e-06
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
lr_scheduler_warmup_steps: 50
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1