legal_question_classification

This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v3 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4890
• Accuracy: 0.7948

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5286	1.0	582	0.4952	0.7948
0.4962	2.0	1164	0.4909	0.7948
0.4847	3.0	1746	0.4890	0.7948

Framework versions

• Transformers 4.17.0
• Pytorch 2.1.0+cu121
• Tokenizers 0.15.0