---
license: mit
base_model: sagorsarker/bangla-bert-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bangla-bert-base-MLTC-BBAU
  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. -->

# bangla-bert-base-MLTC-BBAU

This model is a fine-tuned version of [sagorsarker/bangla-bert-base](https://huggingface.co/sagorsarker/bangla-bert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3665
- F1: 0.8465
- F1 Weighted: 0.8455
- Roc Auc: 0.8412
- Accuracy: 0.5424
- Hamming Loss: 0.1587
- Jaccard Score: 0.7338
- Zero One Loss: 0.4576

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | F1 Weighted | Roc Auc | Accuracy | Hamming Loss | Jaccard Score | Zero One Loss |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:-------:|:--------:|:------------:|:-------------:|:-------------:|
| 0.4152        | 1.0   | 73   | 0.4083          | 0.8201 | 0.8155      | 0.8181  | 0.4987   | 0.1819       | 0.6950        | 0.5013        |
| 0.3506        | 2.0   | 146  | 0.3671          | 0.8504 | 0.8509      | 0.8496  | 0.5681   | 0.1504       | 0.7397        | 0.4319        |
| 0.2992        | 3.0   | 219  | 0.3665          | 0.8465 | 0.8455      | 0.8412  | 0.5424   | 0.1587       | 0.7338        | 0.4576        |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1