| --- |
| tags: |
| - generated_from_trainer |
| - text-generation |
| widget: |
| parameters: |
| - max_new_tokens = 100 |
| model-index: |
| - name: bert-base-uncased-bert-base-uncased-finetuned-mbti-0909 |
| 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. --> |
|
|
| # bert-base-uncased-bert-base-uncased-finetuned-mbti-0909 |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 6.0549 |
|
|
| ## 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: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 5.2244 | 1.0 | 1735 | 5.7788 | |
| | 4.8483 | 2.0 | 3470 | 5.7647 | |
| | 4.7578 | 3.0 | 5205 | 5.9016 | |
| | 4.5606 | 4.0 | 6940 | 5.9895 | |
| | 4.4314 | 5.0 | 8675 | 6.0549 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.21.2 |
| - Pytorch 1.12.1 |
| - Datasets 2.4.0 |
| - Tokenizers 0.12.1 |
|
|
