christinacdl/OLID_OFFENSIVE_BERT_MULTILINGUAL

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OLIDOFFENSIVEBERT_MULTILINGUAL

This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6444
• —Macro F1: 0.7636
• —Micro F1: 0.7927
• —Accuracy: 0.7927

Performance on test set:

• —Accuracy: 0.9022540551927534
• —F1 score: 0.8855180494749837
• —Precision: 0.8690382339788112
• —Recall : 0.9122739652138543
• —Matthews Correlation Coefficient: 0.7801150070033589

• —Precision of each class: [0.97256778 0.76550868]
• —Recall of each class: [0.88969945 0.93484848]
• —F1 score of each class: [0.92928985 0.84174625]

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 4

Training results

Framework versions

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