---
library_name: transformers
base_model: csebuetnlp/banglabert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bangla-hatespeech-analysis
  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-hatespeech-analysis

This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4000
- Accuracy: 0.8694

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 0.3883        | 0.2700 | 1000  | 0.3539          | 0.8531   |
| 0.3848        | 0.5400 | 2000  | 0.3685          | 0.8531   |
| 0.3438        | 0.8099 | 3000  | 0.3294          | 0.8635   |
| 0.2659        | 1.0799 | 4000  | 0.3643          | 0.8605   |
| 0.2775        | 1.3499 | 5000  | 0.3422          | 0.8695   |
| 0.2956        | 1.6199 | 6000  | 0.3923          | 0.8535   |
| 0.2848        | 1.8898 | 7000  | 0.3431          | 0.8701   |
| 0.2263        | 2.1598 | 8000  | 0.3707          | 0.8729   |
| 0.1947        | 2.4298 | 9000  | 0.4239          | 0.8737   |
| 0.2111        | 2.6998 | 10000 | 0.3852          | 0.8701   |
| 0.1759        | 2.9698 | 11000 | 0.4000          | 0.8694   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0