pz-bert-kr

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pz-bert-kr

This model is a fine-tuned version of Hanwoon/pz-bert-kr on the Multiple datasets. It achieves the following results on the evaluation set:

• Loss: 2.6540

Model description

Korean Language Bert Model

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
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1
• Datasets 2.6.1
• Tokenizers 0.13.1