Arvnd03
/

Hate-Speech-Detection-mpnet-basev2

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1518
-- Accuracy: 0.9809
-- F1: 0.9778
 ## Model description
@@ -48,21 +48,23 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| 0.0866        | 1.0   | 2558  | 0.0748          | 0.9778   | 0.9742 |
-| 0.0634        | 2.0   | 5116  | 0.1144          | 0.9751   | 0.9704 |
-| 0.031         | 3.0   | 7674  | 0.1222          | 0.9799   | 0.9765 |
-| 0.0301        | 4.0   | 10232 | 0.1427          | 0.9735   | 0.9696 |
-| 0.01          | 5.0   | 12790 | 0.1413          | 0.9806   | 0.9773 |
-| 0.0133        | 6.0   | 15348 | 0.1543          | 0.9801   | 0.9767 |
-| 0.0086        | 7.0   | 17906 | 0.1672          | 0.9798   | 0.9766 |
-| 0.0059        | 8.0   | 20464 | 0.1518          | 0.9809   | 0.9778 |
-| 0.002         | 9.0   | 23022 | 0.1726          | 0.9782   | 0.9747 |
-| 0.0034        | 10.0  | 25580 | 0.1799          | 0.9798   | 0.9764 |
-| 0.001         | 11.0  | 28138 | 0.2018          | 0.9785   | 0.9750 |
-| 0.0004        | 12.0  | 30696 | 0.1957          | 0.9794   | 0.9759 |
-| 0.0008        | 13.0  | 33254 | 0.2166          | 0.9788   | 0.9754 |
 ### Framework versions

 This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4546
+- Accuracy: 0.9320
+- F1: 0.9317
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 225  | 0.2916          | 0.8952   | 0.9027 |
+| No log        | 2.0   | 450  | 0.2543          | 0.9153   | 0.9156 |
+| 0.2816        | 3.0   | 675  | 0.2853          | 0.9164   | 0.9158 |
+| 0.2816        | 4.0   | 900  | 0.3623          | 0.9197   | 0.9221 |
+| 0.0831        | 5.0   | 1125 | 0.4164          | 0.9186   | 0.9207 |
+| 0.0831        | 6.0   | 1350 | 0.4079          | 0.9208   | 0.9198 |
+| 0.0232        | 7.0   | 1575 | 0.4187          | 0.9275   | 0.9267 |
+| 0.0232        | 8.0   | 1800 | 0.4831          | 0.9231   | 0.9246 |
+| 0.0089        | 9.0   | 2025 | 0.4570          | 0.9298   | 0.9305 |
+| 0.0089        | 10.0  | 2250 | 0.4546          | 0.9320   | 0.9317 |
+| 0.0089        | 11.0  | 2475 | 0.5022          | 0.9264   | 0.9278 |
+| 0.0051        | 12.0  | 2700 | 0.5734          | 0.9208   | 0.9232 |
+| 0.0051        | 13.0  | 2925 | 0.5780          | 0.9186   | 0.9211 |
+| 0.002         | 14.0  | 3150 | 0.5049          | 0.9287   | 0.9295 |
+| 0.002         | 15.0  | 3375 | 0.5444          | 0.9231   | 0.9249 |
 ### Framework versions