criminal-case-RoBERTa3

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5650
• Accuracy: 0.7488

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6055	0.02	10	0.6017	0.7488
0.6904	0.04	20	0.5712	0.7488
0.608	0.06	30	0.5650	0.7488

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2