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rambodazimi/bert-base-uncased-finetuned-LoRA-WNLI · Pirate Face

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

Source: 🤗apache-2.02 MBsafetensors✓ 1 checksumupdated 802d ago

bert-base-uncased-finetuned-lora-wnli

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: 0.5634
trainable model parameters: 591362
all model parameters: 110075140
percentage of trainable model parameters: 0.54%

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: 16
lora_alpha: 16
lora_dropout: 0.05
num_epochs: 4

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Model size: 2 MB
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