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End of training

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  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.3991
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- - F1: 0.8412
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- - Roc Auc: 0.8406
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- - Accuracy: 0.5553
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- - Hamming Loss: 0.1594
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- - Jaccard Score: 0.7260
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- - Zero One Loss: 0.4447
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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: 0.0002
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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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- | 0.5041 | 1.0 | 73 | 0.4024 | 0.8227 | 0.8252 | 0.5141 | 0.1748 | 0.6988 | 0.4859 |
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- | 0.4299 | 2.0 | 146 | 0.4437 | 0.8005 | 0.7995 | 0.4859 | 0.2005 | 0.6674 | 0.5141 |
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- | 0.4039 | 3.0 | 219 | 0.4073 | 0.8402 | 0.8374 | 0.5424 | 0.1626 | 0.7244 | 0.4576 |
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- | 0.2797 | 4.0 | 292 | 0.4140 | 0.8238 | 0.8226 | 0.5270 | 0.1774 | 0.7003 | 0.4730 |
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- | 0.2532 | 5.0 | 365 | 0.3991 | 0.8412 | 0.8406 | 0.5553 | 0.1594 | 0.7260 | 0.4447 |
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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
model.safetensors CHANGED
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