| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: GPT2-CLS-Finetuned-MBTI | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 | |