YataGarasu-TextClassification

This model is a fine-tuned version of sbintuitions/modernbert-ja-130m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1625
• Accuracy: 0.9711

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4418	1.0	546	0.1727	0.9577
0.0901	2.0	1092	0.1625	0.9711

Framework versions

• Transformers 5.0.0
• Pytorch 2.11.0+cu128
• Datasets 4.8.5
• Tokenizers 0.22.2