| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | base_model: roberta-base |
| | model-index: |
| | - name: mbti-classification-roberta-base |
| | 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-roberta-base |
| |
|
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.1673 |
| | - Accuracy: 0.3031 |
| |
|
| | ## 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: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:------:|:---------------:|:--------:| |
| | | 2.1161 | 1.0 | 20490 | 2.0814 | 0.2993 | |
| | | 2.0021 | 2.0 | 40980 | 2.0563 | 0.3073 | |
| | | 1.8974 | 3.0 | 61470 | 2.0769 | 0.3074 | |
| | | 1.8346 | 4.0 | 81960 | 2.1221 | 0.3073 | |
| | | 1.7826 | 5.0 | 102450 | 2.1673 | 0.3031 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.25.1 |
| | - Pytorch 1.12.1+cu102 |
| | - Datasets 2.7.1 |
| | - Tokenizers 0.13.2 |
| |
|
