| | --- |
| | library_name: transformers |
| | base_model: csebuetnlp/banglabert |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - accuracy |
| | - precision |
| | - recall |
| | model-index: |
| | - name: basic_transformer |
| | 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. --> |
| |
|
| | # basic_transformer |
| | |
| | This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0173 |
| | - F1: 0.9970 |
| | - Accuracy: 0.997 |
| | - Precision: 0.9970 |
| | - Recall: 0.997 |
| | |
| | ## 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: 32 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH 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 | Precision | Recall | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:| |
| | | No log | 1.0 | 438 | 0.0235 | 0.9970 | 0.997 | 0.9970 | 0.997 | |
| | | 0.0328 | 2.0 | 876 | 0.0182 | 0.996 | 0.996 | 0.996 | 0.996 | |
| | | 0.0191 | 3.0 | 1314 | 0.0173 | 0.9970 | 0.997 | 0.9970 | 0.997 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.52.4 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.2 |
| | |
