dgalik/finetuning-distilbert-hate-speech-score-model-all-samples-250423

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finetuning-distilbert-hate-speech-score-model-all-samples-250423

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

• —Loss: 0.2979
• —Mse: 0.2979
• —Rmse: 0.5458
• —Mae: 0.2755
• —R2: 0.9475

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
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.0+cu118
• —Datasets 2.11.0
• —Tokenizers 0.13.3