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debertav2-lora-swag

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debertav2-lora-swag

This model is a fine-tuned version of microsoft/deberta-v2-xlarge on the swag 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: 3

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

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Adapter for

Dataset used to train souraviithmds/debertav2-lora-swag

Evaluation results

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