| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: mbti-classification-bert-base-uncased | |
| 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. --> | |
| # mbti-classification-bert-base-uncased | |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.3272 | |
| - Accuracy: 0.2924 | |
| ## 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: 24 | |
| - eval_batch_size: 24 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Accuracy | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:--------:|:---------------:| | |
| | 2.0851 | 1.0 | 13660 | 0.3052 | 2.0650 | | |
| | 1.9902 | 2.0 | 27320 | 0.3105 | 2.0524 | | |
| | 1.8139 | 3.0 | 40980 | 0.3029 | 2.1081 | | |
| | 1.6191 | 4.0 | 54640 | 2.2604 | 0.2964 | | |
| | 1.4893 | 5.0 | 68300 | 2.3272 | 0.2924 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.12.1+cu102 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |