End of training
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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| 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: 0.3641
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- F1: 0.8505
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- Roc Auc: 0.8470
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- Accuracy: 0.5578
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- Hamming Loss: 0.1530
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- Jaccard Score: 0.7399
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- Zero One Loss: 0.4422
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## Model description
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### Training hyperparameters
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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: 16
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- eval_batch_size: 16
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- seed: 42
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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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| 0.3991 | 1.0 | 73 | 0.4026 | 0.8245 | 0.8193 | 0.4884 | 0.1806 | 0.7014 | 0.5116 |
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| 0.3621 | 2.0 | 146 | 0.3670 | 0.8479 | 0.8464 | 0.5578 | 0.1536 | 0.7359 | 0.4422 |
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| 0.2817 | 3.0 | 219 | 0.3620 | 0.8502 | 0.8463 | 0.5604 | 0.1536 | 0.7394 | 0.4396 |
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| 0.2081 | 4.0 | 292 | 0.3630 | 0.8532 | 0.8496 | 0.5630 | 0.1504 | 0.7440 | 0.4370 |
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| 0.1962 | 5.0 | 365 | 0.3641 | 0.8505 | 0.8470 | 0.5578 | 0.1530 | 0.7399 | 0.4422 |
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### Framework versions
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model.safetensors
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