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--- |
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library_name: transformers |
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base_model: csebuetnlp/banglabert |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: bangla-hatespeech-analysis |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bangla-hatespeech-analysis |
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This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4000 |
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- Accuracy: 0.8694 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:-----:|:---------------:|:--------:| |
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| 0.3883 | 0.2700 | 1000 | 0.3539 | 0.8531 | |
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| 0.3848 | 0.5400 | 2000 | 0.3685 | 0.8531 | |
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| 0.3438 | 0.8099 | 3000 | 0.3294 | 0.8635 | |
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| 0.2659 | 1.0799 | 4000 | 0.3643 | 0.8605 | |
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| 0.2775 | 1.3499 | 5000 | 0.3422 | 0.8695 | |
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| 0.2956 | 1.6199 | 6000 | 0.3923 | 0.8535 | |
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| 0.2848 | 1.8898 | 7000 | 0.3431 | 0.8701 | |
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| 0.2263 | 2.1598 | 8000 | 0.3707 | 0.8729 | |
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| 0.1947 | 2.4298 | 9000 | 0.4239 | 0.8737 | |
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| 0.2111 | 2.6998 | 10000 | 0.3852 | 0.8701 | |
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| 0.1759 | 2.9698 | 11000 | 0.4000 | 0.8694 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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