Shunian Chen
update model card README.md
efb0df4
metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mbti-classification-roberta-base-aug
    results: []

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.1201 1.0 29900 2.1415 0.2833
1.8733 2.0 59800 2.1235 0.2866
1.7664 3.0 89700 2.1645 0.2834

Framework versions

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