End of training
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- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [sagorsarker/bangla-bert-base](https://huggingface.co/sagorsarker/bangla-bert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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- Roc Auc: 0.
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- Accuracy: 0.
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- Hamming Loss: 0.
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- Jaccard Score: 0.
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- Zero One Loss: 0.
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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 Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | Hamming Loss | Jaccard Score | Zero One Loss |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:------------:|:-------------:|:-------------:|
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### Framework versions
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This model is a fine-tuned version of [sagorsarker/bangla-bert-base](https://huggingface.co/sagorsarker/bangla-bert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3627
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- F1: 0.8553
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- Roc Auc: 0.8521
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- Accuracy: 0.5707
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- Hamming Loss: 0.1478
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- Jaccard Score: 0.7473
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- Zero One Loss: 0.4293
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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: 8
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- eval_batch_size: 8
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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 Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | Hamming Loss | Jaccard Score | Zero One Loss |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:------------:|:-------------:|:-------------:|
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| 0.3717 | 1.0 | 146 | 0.3740 | 0.8447 | 0.8438 | 0.5398 | 0.1562 | 0.7312 | 0.4602 |
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| 0.3812 | 2.0 | 292 | 0.3627 | 0.8373 | 0.8420 | 0.5476 | 0.1581 | 0.7201 | 0.4524 |
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| 0.2373 | 3.0 | 438 | 0.3830 | 0.8450 | 0.8386 | 0.5476 | 0.1613 | 0.7316 | 0.4524 |
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| 0.1688 | 4.0 | 584 | 0.3610 | 0.8555 | 0.8534 | 0.5758 | 0.1465 | 0.7475 | 0.4242 |
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| 0.153 | 5.0 | 730 | 0.3627 | 0.8553 | 0.8521 | 0.5707 | 0.1478 | 0.7473 | 0.4293 |
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### Framework versions
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model.safetensors
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