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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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- f1
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model-index:
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- name: bdbert
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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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# bdbert
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This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.3231
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- Accuracy: 0.9549
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- F1: 0.9528
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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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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 5.0.0
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- Tokenizers 0.22.2
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---
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library_name: transformers
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metrics:
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- accuracy
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- f1
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model-index:
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- name: bdbert
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results: []
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license: cc-by-nc-sa-4.0
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language:
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- bn
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base_model:
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- csebuetnlp/banglabert
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pipeline_tag: text-classification
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---
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# bdbert
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This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on the /kaggle/input/competitions/bangla-code-mixed-sentiment-analysis-banglish-benglish/train.csv
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dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3231
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- Accuracy: 0.9549
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- F1: 0.9528
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 5.0.0
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- Tokenizers 0.22.2
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