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arabert_cross_relevance_task1_fold0

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salbatarni commited on Sep 1

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@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2406
-- Qwk: 0.0225
-- Mse: 0.2406
 ## Model description
@@ -45,36 +45,36 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch  | Step | Validation Loss | Qwk    | Mse    |
-|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
-| No log        | 0.0351 | 2    | 0.5970          | 0.0065 | 0.5970 |
-| No log        | 0.0702 | 4    | 0.1673          | 0.0060 | 0.1673 |
-| No log        | 0.1053 | 6    | 0.3299          | 0.0278 | 0.3299 |
-| No log        | 0.1404 | 8    | 0.7352          | 0.0065 | 0.7352 |
-| No log        | 0.1754 | 10   | 0.6501          | 0.0208 | 0.6501 |
-| No log        | 0.2105 | 12   | 0.4790          | 0.0347 | 0.4790 |
-| No log        | 0.2456 | 14   | 0.3876          | 0.0363 | 0.3876 |
-| No log        | 0.2807 | 16   | 0.4097          | 0.0294 | 0.4097 |
-| No log        | 0.3158 | 18   | 0.3925          | 0.0277 | 0.3925 |
-| No log        | 0.3509 | 20   | 0.3541          | 0.0310 | 0.3541 |
-| No log        | 0.3860 | 22   | 0.3565          | 0.0461 | 0.3565 |
-| No log        | 0.4211 | 24   | 0.3341          | 0.0410 | 0.3341 |
-| No log        | 0.4561 | 26   | 0.3266          | 0.0480 | 0.3266 |
-| No log        | 0.4912 | 28   | 0.3191          | 0.0381 | 0.3191 |
-| No log        | 0.5263 | 30   | 0.3104          | 0.0271 | 0.3104 |
-| No log        | 0.5614 | 32   | 0.3215          | 0.0271 | 0.3215 |
-| No log        | 0.5965 | 34   | 0.3010          | 0.0194 | 0.3010 |
-| No log        | 0.6316 | 36   | 0.3055          | 0.0194 | 0.3055 |
-| No log        | 0.6667 | 38   | 0.3447          | 0.0254 | 0.3447 |
-| No log        | 0.7018 | 40   | 0.3547          | 0.0399 | 0.3547 |
-| No log        | 0.7368 | 42   | 0.3642          | 0.0399 | 0.3642 |
-| No log        | 0.7719 | 44   | 0.3510          | 0.0327 | 0.3510 |
-| No log        | 0.8070 | 46   | 0.3201          | 0.0178 | 0.3201 |
-| No log        | 0.8421 | 48   | 0.2882          | 0.0194 | 0.2882 |
-| No log        | 0.8772 | 50   | 0.2672          | 0.0209 | 0.2672 |
-| No log        | 0.9123 | 52   | 0.2539          | 0.0209 | 0.2539 |
-| No log        | 0.9474 | 54   | 0.2455          | 0.0225 | 0.2455 |
-| No log        | 0.9825 | 56   | 0.2406          | 0.0225 | 0.2406 |
 ### Framework versions

 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1907
+- Qwk: 0.0246
+- Mse: 0.1907
 ## Model description
 ### Training results
+| Training Loss | Epoch  | Step | Validation Loss | Qwk     | Mse    |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
+| No log        | 0.0351 | 2    | 1.1829          | -0.0050 | 1.1829 |
+| No log        | 0.0702 | 4    | 0.2409          | 0.0099  | 0.2409 |
+| No log        | 0.1053 | 6    | 0.1676          | -0.0484 | 0.1676 |
+| No log        | 0.1404 | 8    | 0.1570          | 0.0130  | 0.1570 |
+| No log        | 0.1754 | 10   | 0.3161          | 0.0173  | 0.3161 |
+| No log        | 0.2105 | 12   | 0.6111          | 0.0144  | 0.6111 |
+| No log        | 0.2456 | 14   | 0.4643          | 0.0505  | 0.4643 |
+| No log        | 0.2807 | 16   | 0.3698          | 0.0345  | 0.3698 |
+| No log        | 0.3158 | 18   | 0.2920          | 0.0181  | 0.2920 |
+| No log        | 0.3509 | 20   | 0.2091          | 0.0235  | 0.2091 |
+| No log        | 0.3860 | 22   | 0.1792          | 0.0092  | 0.1792 |
+| No log        | 0.4211 | 24   | 0.1670          | 0.0386  | 0.1670 |
+| No log        | 0.4561 | 26   | 0.1654          | 0.0258  | 0.1654 |
+| No log        | 0.4912 | 28   | 0.1730          | 0.0081  | 0.1730 |
+| No log        | 0.5263 | 30   | 0.1851          | 0.0141  | 0.1851 |
+| No log        | 0.5614 | 32   | 0.2064          | 0.0092  | 0.2064 |
+| No log        | 0.5965 | 34   | 0.2253          | 0.0270  | 0.2253 |
+| No log        | 0.6316 | 36   | 0.2300          | 0.0355  | 0.2300 |
+| No log        | 0.6667 | 38   | 0.2391          | 0.0339  | 0.2391 |
+| No log        | 0.7018 | 40   | 0.2358          | 0.0339  | 0.2358 |
+| No log        | 0.7368 | 42   | 0.2370          | 0.0300  | 0.2370 |
+| No log        | 0.7719 | 44   | 0.2370          | 0.0361  | 0.2370 |
+| No log        | 0.8070 | 46   | 0.2312          | 0.0323  | 0.2312 |
+| No log        | 0.8421 | 48   | 0.2215          | 0.0323  | 0.2215 |
+| No log        | 0.8772 | 50   | 0.2101          | 0.0358  | 0.2101 |
+| No log        | 0.9123 | 52   | 0.2006          | 0.0212  | 0.2006 |
+| No log        | 0.9474 | 54   | 0.1943          | 0.0246  | 0.1943 |
+| No log        | 0.9825 | 56   | 0.1907          | 0.0246  | 0.1907 |
 ### Framework versions