---
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