bert-base-japanese-whole-word-masking-finetuned

This model is a fine-tuned version of cl-tohoku/bert-base-japanese-whole-word-masking on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.7457

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.9789	1.0	2	1.7973
0.3371	2.0	4	0.3530
6.0381	3.0	6	1.8948

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Tokenizers 0.13.3