dougtrajano/toxicity-target-type-identification

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dougtrajano/toxicity-target-type-identification

This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the OLID-BR dataset. It achieves the following results on the evaluation set:

• —Loss: 1.4281
• —Accuracy: 0.8002
• —F1: 0.7986
• —Precision: 0.7990
• —Recall: 0.8002

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: 3.952388499692274e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 1993
• —optimizer: Adam with betas=(0.9944095815441554,0.8750000522553327) and epsilon=1.8526084265228802e-07
• —lrschedulertype: linear
• —num_epochs: 30

Training results

Framework versions

• —Transformers 4.26.1
• —Pytorch 1.10.2+cu113
• —Datasets 2.9.0
• —Tokenizers 0.13.2