NaeemCSECUET18
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bangla-bert-base-MLTC-BBAU

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NaeemCSECUET18 commited on 11 days ago

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@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [sagorsarker/bangla-bert-base](https://huggingface.co/sagorsarker/bangla-bert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1101
-- F1: 0.9471
-- F1 Weighted: 0.9455
-- Roc Auc: 0.9594
-- Accuracy: 0.8837
-- Hamming Loss: 0.0351
-- Jaccard Score: 0.8995
-- Zero One Loss: 0.1163
 ## Model description
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     | F1 Weighted | Roc Auc | Accuracy | Hamming Loss | Jaccard Score | Zero One Loss |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:-------:|:--------:|:------------:|:-------------:|:-------------:|
-| 0.1471        | 1.0   | 258  | 0.1221          | 0.9423 | 0.9381      | 0.9542  | 0.8583   | 0.0380       | 0.8908        | 0.1417        |
-| 0.0966        | 2.0   | 516  | 0.1101          | 0.9463 | 0.9450      | 0.9579  | 0.8735   | 0.0355       | 0.8981        | 0.1265        |
-| 0.0593        | 3.0   | 774  | 0.1101          | 0.9471 | 0.9455      | 0.9594  | 0.8837   | 0.0351       | 0.8995        | 0.1163        |
 ### Framework versions

 This model is a fine-tuned version of [sagorsarker/bangla-bert-base](https://huggingface.co/sagorsarker/bangla-bert-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3665
+- F1: 0.8465
+- F1 Weighted: 0.8455
+- Roc Auc: 0.8412
+- Accuracy: 0.5424
+- Hamming Loss: 0.1587
+- Jaccard Score: 0.7338
+- Zero One Loss: 0.4576
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     | F1 Weighted | Roc Auc | Accuracy | Hamming Loss | Jaccard Score | Zero One Loss |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:-------:|:--------:|:------------:|:-------------:|:-------------:|
+| 0.4152        | 1.0   | 73   | 0.4083          | 0.8201 | 0.8155      | 0.8181  | 0.4987   | 0.1819       | 0.6950        | 0.5013        |
+| 0.3506        | 2.0   | 146  | 0.3671          | 0.8504 | 0.8509      | 0.8496  | 0.5681   | 0.1504       | 0.7397        | 0.4319        |
+| 0.2992        | 3.0   | 219  | 0.3665          | 0.8465 | 0.8455      | 0.8412  | 0.5424   | 0.1587       | 0.7338        | 0.4576        |
 ### Framework versions

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