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DeBERTa-finetuned-SNLI4 – AI Model by gyeoldere | AlphaNeural AI
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gyeoldere
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DeBERTa-finetuned-SNLI4
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transformers
pytorch
deberta
generated_from_trainer
snli
mit
endpoints_compatible
us
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DeBERTa-finetuned-SNLI4
This model is a fine-tuned version of
gyeoldere/DeBERTa-finetuned-SNLI2
on the snli dataset.
Model description
fliped_forth used
Intended uses & limitations
More information needed
Training and evaluation data
final training loss : 1.216
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2
