bert-base-uncased-finetuned-qqp

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: 0.9130
• F1: 0.8829

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• weight_decay: 0.01
• num_epochs: 3