iTroned/olid_bootstrapped_v3

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olidbootstrappedv3

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

• —Loss: 0.1789
• —Accuracy Offensive: 0.9486
• —F1 Offensive: 0.9485
• —Accuracy Targeted: 0.9532
• —F1 Targeted: 0.9505
• —Accuracy Stance: 0.9449
• —F1 Stance: 0.9374

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: 1e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 30

Training results

Framework versions

• —Transformers 4.45.2
• —Pytorch 2.5.0+cu124
• —Datasets 3.0.1
• —Tokenizers 0.20.1