Training complete
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README.md
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# bert-finetuned-ner-bangla
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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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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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### Training results
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### Framework versions
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# bert-finetuned-ner-bangla
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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: 0.0829
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0928 | 0.45 | 1000 | 0.0995 |
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| 0.0887 | 0.91 | 2000 | 0.0863 |
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| 0.075 | 1.36 | 3000 | 0.0805 |
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| 0.0732 | 1.81 | 4000 | 0.0829 |
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### Framework versions
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