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rambodazimi/roberta-base-finetuned-LoRA-WNLI · Pirate Face

rambodazimi/roberta-base-finetuned-LoRA-WNLI

Source: 🤗apache-2.04 MBsafetensors✓ 1 checksumupdated 799d ago

roberta-base-finetuned-lora-wnli

This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:

Accuracy: 0.5634
trainable model parameters: 887042
all model parameters: 125534212
percentage of trainable model parameters: 0.71%

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-04
train_batch_size: 32
eval_batch_size: 32
seed: 42
weight_decay: 0.01
rank: 8
lora_alpha: 16
lora_dropout: 0.05
num_epochs: 4

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Model size: 4 MB
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