gokuls/hBERTv1_new_pretrain_qqp

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hBERTv1newpretrain_qqp

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new on the GLUE QQP dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4260
• —Accuracy: 0.8042
• —F1: 0.7096
• —Combined Score: 0.7569

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: 4e-05
• —trainbatchsize: 128
• —evalbatchsize: 128
• —seed: 10
• —distributed_type: multi-GPU
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 50

Training results

Framework versions

• —Transformers 4.29.2
• —Pytorch 1.14.0a0+410ce96
• —Datasets 2.12.0
• —Tokenizers 0.13.3