| | --- |
| | library_name: transformers |
| | base_model: klue/roberta-large |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: mbti-tf-classifier |
| | 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-tf-classifier |
| |
|
| | This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7010 |
| | - Accuracy: 0.5168 |
| | - F1: 0.6810 |
| | - Precision: 0.5168 |
| | - Recall: 0.9983 |
| |
|
| | ## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 5 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | | 0.6957 | 1.0 | 1164 | 0.7012 | 0.5161 | 0.6808 | 0.5161 | 1.0 | |
| | | 0.6682 | 2.0 | 2328 | 0.7025 | 0.5875 | 0.5501 | 0.6292 | 0.4888 | |
| | | 0.6589 | 3.0 | 3492 | 0.6757 | 0.5939 | 0.5925 | 0.6145 | 0.5720 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.57.3 |
| | - Pytorch 2.9.1+cu128 |
| | - Datasets 4.4.2 |
| | - Tokenizers 0.22.1 |
| |
|
