Shunian/mbti-classification-roberta-base-aug

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mbti-classification-roberta-base-aug

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

• —Loss: 2.1645
• —Accuracy: 0.2834

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: cosine
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.25.1
• —Pytorch 1.12.1+cu102
• —Datasets 2.7.1
• —Tokenizers 0.13.2