AIKIA_0.6_OFFENSIVE_BERT_MULTILINGUAL

• Loss: 1.5183
• Macro F1: 0.6983
• Micro F1: 0.7565
• Accuracy: 0.7565

• Accuracy: 0.7784313725490196
• F1 score: 0.7575514222182127
• Precision: 0.7545776520467404
• Recall : 0.7612935323383084
• Matthews Correlation Coefficient: 0.5158274671154518
• Precision of each class: [0.84188912 0.66726619]
• Recall of each class: [0.8159204 0.70666667]
• F1 score of each class: [0.82870136 0.68640148]

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• 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_steps: 500
• num_epochs: 10

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3