minh21/XLNet-Reddit-Toxic-Comment-Classification

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XLNet-Reddit-Toxic-Comment-Classification

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

• —Loss: 0.2964
• —Rmse: 0.2828
• —Accuracy: 0.92
• —Precision: 0.9236
• —Recall: 0.9329
• —F1: 0.9282

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: 3e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.35.0.dev0
• —Pytorch 2.0.0
• —Datasets 2.1.0
• —Tokenizers 0.14.1