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bangla-hatespeech-analysis-banglaBert-Base
DipsankarSinha/bangla-hatespeech-analysis-banglaBert-Base
bangla-hatespeech-analysis-banglaBert-Base is a text classification model from DipsankarSinha. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 31, 2025
- Updated
- Mar 31, 2025
- SHA
- e8e1e90c
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Base models
Model card
From the Hugging Face model README
<!-- 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-banglaBert-Base
This model is a fine-tuned version of sagorsarker/bangla-bert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4189
- Accuracy: 0.8226
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 |
|---|---|---|---|---|
| 0.466 | 0.2527 | 1000 | 0.4682 | 0.7893 |
| 0.4273 | 0.5053 | 2000 | 0.4433 | 0.8059 |
| 0.4426 | 0.7580 | 3000 | 0.4244 | 0.8104 |
| 0.4141 | 1.0106 | 4000 | 0.4794 | 0.7972 |
| 0.4109 | 1.2633 | 5000 | 0.4585 | 0.8112 |
| 0.4181 | 1.5159 | 6000 | 0.4249 | 0.8084 |
| 0.3519 | 1.7686 | 7000 | 0.4134 | 0.8186 |
| 0.3572 | 2.0212 | 8000 | 0.4118 | 0.8217 |
| 0.3251 | 2.2739 | 9000 | 0.4136 | 0.8184 |
| 0.3145 | 2.5265 | 10000 | 0.4335 | 0.8190 |
| 0.3247 | 2.7792 | 11000 | 0.4189 | 0.8226 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 31, 2025
- Updated
- Mar 31, 2025