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NaeemCSECUET18
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bangla-bert-base-MLTC-1

Text Classification
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bert
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  1. README.md +14 -14
  2. model.safetensors +1 -1
README.md CHANGED
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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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  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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  - 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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- | 0.3991 | 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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  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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