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bert-base-qqp – AI Model by Cheng98 | AlphaNeural AI

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Cheng98/
bert-base-qqp

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text-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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bert-base-qqp

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

Loss: 0.5173
Accuracy: 0.9089
F1: 0.8770
Combined Score: 0.8929

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.18.0
Tokenizers 0.13.3