| --- |
| library_name: transformers |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: bdbert |
| results: [] |
| license: cc-by-nc-sa-4.0 |
| language: |
| - bn |
| base_model: |
| - csebuetnlp/banglabert |
| pipeline_tag: text-classification |
| --- |
| |
| # bdbert |
|
|
| This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on the /kaggle/input/competitions/bangla-code-mixed-sentiment-analysis-banglish-benglish/train.csv |
| dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3231 |
| - Accuracy: 0.9549 |
| - F1: 0.9528 |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - 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: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | No log | 1.0 | 51 | 1.5852 | 0.6823 | 0.6170 | |
| | No log | 2.0 | 102 | 0.9237 | 0.8559 | 0.8517 | |
| | No log | 3.0 | 153 | 0.6013 | 0.9115 | 0.9061 | |
| | No log | 4.0 | 204 | 0.4866 | 0.9184 | 0.9146 | |
| | No log | 5.0 | 255 | 0.4016 | 0.9427 | 0.9405 | |
| | No log | 6.0 | 306 | 0.3525 | 0.9462 | 0.9441 | |
| | No log | 7.0 | 357 | 0.3383 | 0.9514 | 0.9493 | |
| | No log | 8.0 | 408 | 0.3370 | 0.9479 | 0.9458 | |
| | No log | 9.0 | 459 | 0.3464 | 0.9531 | 0.9509 | |
| | 0.6486 | 10.0 | 510 | 0.3231 | 0.9549 | 0.9528 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 5.0.0 |
| - Tokenizers 0.22.2 |
