| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| - accuracy |
| model-index: |
| - name: banking-using-mybert |
| 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. --> |
|
|
| # banking-using-mybert |
|
|
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3440 |
| - F1: 0.9090 |
| - Accuracy: 0.9091 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - 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 |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| |
| | 1.0905 | 1.0 | 626 | 0.8475 | 0.8018 | 0.8052 | |
| | 0.5429 | 2.0 | 1252 | 0.5092 | 0.8707 | 0.8708 | |
| | 0.3192 | 3.0 | 1878 | 0.4176 | 0.8885 | 0.8893 | |
| | 0.1803 | 4.0 | 2504 | 0.3511 | 0.9072 | 0.9068 | |
| | 0.0834 | 5.0 | 3130 | 0.3440 | 0.9090 | 0.9091 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.48.1 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
