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rambodazimi/deberta-v3-base-finetuned-LoRA-QQP · Pirate Face

rambodazimi/deberta-v3-base-finetuned-LoRA-QQP

Source: 🤗apache-2.05 MBsafetensors✓ 1 checksumupdated 799d ago

deberta-v3-base-finetuned-lora-qqp

This model is a fine-tuned version of deberta-v3-base on the glue dataset. It achieves the following results on the evaluation set:

Accuracy: 0.9194
F1: 0.8925
trainable model parameters: 1181186
all model parameters: 185604868
percentage of trainable model parameters: 0.64%

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: 5

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Model size: 5 MB
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