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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 |