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