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bert-base-uncased-finetuned-LoRA-QNLI – AI Model by rambodazimi | AlphaNeural AI

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rambodazimi/
bert-base-uncased-finetuned-LoRA-QNLI

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bert-base-uncased-finetuned-lora-qnli

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

Accuracy: 0.9114
trainable model parameters: 1181186
all model parameters: 110664964
percentage of trainable model parameters: 1.07%

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: 32
lora_alpha: 32
lora_dropout: 0.05
num_epochs: 4