---
library_name: transformers
base_model: csebuetnlp/banglabert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: results
  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. -->

# results

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: 0.7260
- Accuracy: 0.7417
- F1: 0.7267

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.9409        | 1.0   | 35   | 0.9145          | 0.6583   | 0.6004 |
| 0.7658        | 2.0   | 70   | 0.7490          | 0.725    | 0.6680 |
| 0.6112        | 3.0   | 105  | 0.6922          | 0.7333   | 0.6772 |
| 0.4237        | 4.0   | 140  | 0.6434          | 0.7583   | 0.7283 |
| 0.327         | 5.0   | 175  | 0.6385          | 0.7667   | 0.7513 |
| 0.2258        | 6.0   | 210  | 0.6861          | 0.7333   | 0.7266 |
| 0.1018        | 7.0   | 245  | 0.7522          | 0.7583   | 0.7327 |
| 0.0794        | 8.0   | 280  | 0.8856          | 0.7667   | 0.7506 |
| 0.0543        | 9.0   | 315  | 0.9427          | 0.7417   | 0.7368 |
| 0.03          | 10.0  | 350  | 0.9346          | 0.75     | 0.7339 |
| 0.0252        | 11.0  | 385  | 1.0011          | 0.7333   | 0.7274 |
| 0.0324        | 12.0  | 420  | 1.0499          | 0.75     | 0.7366 |
| 0.0139        | 13.0  | 455  | 1.0554          | 0.7333   | 0.7173 |
| 0.014         | 14.0  | 490  | 1.0881          | 0.7583   | 0.7492 |
| 0.0131        | 15.0  | 525  | 1.0949          | 0.7583   | 0.7492 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1