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deberta-v3-xsmall-with-biblio-context-finetuned-review_classifier_testing – AI Model by domenicrosati | AlphaNeural AI
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domenicrosati
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deberta-v3-xsmall-with-biblio-context-finetuned-review_classifier_testing
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transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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deberta-v3-xsmall-with-biblio-context-finetuned-review_classifier_testing
This model is a fine-tuned version of
domenicrosati/deberta-v3-xsmall-finetuned-review_classifier
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: 4.5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 2
mixed_precision_training: Native AMP
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu116
Datasets 2.3.2
Tokenizers 0.12.1
