GPT2-CLS-Finetuned-MBTI

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9571
• Cls loss: 1.9559
• Cls Accuracy: 0.6052
• Cls F1: 0.5956
• Cls Precision: 0.6180
• Cls Recall: 0.6052

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Cls loss	Cls Accuracy	Cls F1	Cls Precision	Cls Recall	Validation Loss
2.0239	1.0	3470	1.7000	0.5262	0.4961	0.5438	0.5262	1.6998
1.5182	2.0	6940	1.8171	0.5873	0.5764	0.5971	0.5873	1.8181
1.3241	3.0	10410	1.9559	0.6052	0.5956	0.6180	0.6052	1.9571

Framework versions

• Transformers 4.21.2
• Pytorch 1.12.1
• Datasets 2.4.0
• Tokenizers 0.12.1