End of training

README.md

@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
 tags:
 - generated_from_trainer
 model-index:
-- name: arabert_baseline_organization_task6_fold0
+- name: arabert_baseline_organization_task6_fold1
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# arabert_baseline_organization_task6_fold0
+# arabert_baseline_organization_task6_fold1
 
 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: 1.0773
-- Qwk: 0.5845
-- Mse: 1.0773
+- Loss: 0.2898
+- Qwk: 0.7030
+- Mse: 0.2898
 
 ## Model description
 
@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Qwk    | Mse    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| No log        | 0.5   | 2    | 1.6373          | 0.1538 | 1.6373 |
-| No log        | 1.0   | 4    | 1.2460          | 0.2222 | 1.2460 |
-| No log        | 1.5   | 6    | 1.5431          | 0.3000 | 1.5431 |
-| No log        | 2.0   | 8    | 1.3210          | 0.2609 | 1.3210 |
-| No log        | 2.5   | 10   | 1.0985          | 0.2222 | 1.0985 |
-| No log        | 3.0   | 12   | 1.2241          | 0.3000 | 1.2241 |
-| No log        | 3.5   | 14   | 1.5282          | 0.4020 | 1.5282 |
-| No log        | 4.0   | 16   | 1.3965          | 0.5427 | 1.3965 |
-| No log        | 4.5   | 18   | 1.0605          | 0.3636 | 1.0605 |
-| No log        | 5.0   | 20   | 1.0157          | 0.3438 | 1.0157 |
-| No log        | 5.5   | 22   | 1.1775          | 0.6379 | 1.1775 |
-| No log        | 6.0   | 24   | 1.3717          | 0.6638 | 1.3717 |
-| No log        | 6.5   | 26   | 1.3937          | 0.6638 | 1.3937 |
-| No log        | 7.0   | 28   | 1.2725          | 0.6667 | 1.2725 |
-| No log        | 7.5   | 30   | 1.1808          | 0.6379 | 1.1808 |
-| No log        | 8.0   | 32   | 1.1076          | 0.4615 | 1.1076 |
-| No log        | 8.5   | 34   | 1.0719          | 0.4615 | 1.0719 |
-| No log        | 9.0   | 36   | 1.0706          | 0.5845 | 1.0706 |
-| No log        | 9.5   | 38   | 1.0719          | 0.5845 | 1.0719 |
-| No log        | 10.0  | 40   | 1.0773          | 0.5845 | 1.0773 |
+| No log        | 0.5   | 2    | 0.9213          | 0.0731 | 0.9213 |
+| No log        | 1.0   | 4    | 0.6822          | 0.1579 | 0.6822 |
+| No log        | 1.5   | 6    | 0.6736          | 0.5214 | 0.6736 |
+| No log        | 2.0   | 8    | 0.5063          | 0.5950 | 0.5063 |
+| No log        | 2.5   | 10   | 0.4323          | 0.7287 | 0.4323 |
+| No log        | 3.0   | 12   | 0.3923          | 0.6028 | 0.3923 |
+| No log        | 3.5   | 14   | 0.3540          | 0.5655 | 0.3540 |
+| No log        | 4.0   | 16   | 0.3227          | 0.6045 | 0.3227 |
+| No log        | 4.5   | 18   | 0.3808          | 0.5971 | 0.3808 |
+| No log        | 5.0   | 20   | 0.3736          | 0.5987 | 0.3736 |
+| No log        | 5.5   | 22   | 0.3093          | 0.6940 | 0.3093 |
+| No log        | 6.0   | 24   | 0.2786          | 0.6335 | 0.2786 |
+| No log        | 6.5   | 26   | 0.2805          | 0.6631 | 0.2805 |
+| No log        | 7.0   | 28   | 0.2913          | 0.6940 | 0.2913 |
+| No log        | 7.5   | 30   | 0.3159          | 0.7030 | 0.3159 |
+| No log        | 8.0   | 32   | 0.3198          | 0.76   | 0.3198 |
+| No log        | 8.5   | 34   | 0.3167          | 0.76   | 0.3167 |
+| No log        | 9.0   | 36   | 0.3027          | 0.7030 | 0.3027 |
+| No log        | 9.5   | 38   | 0.2926          | 0.7030 | 0.2926 |
+| No log        | 10.0  | 40   | 0.2898          | 0.7030 | 0.2898 |
 
 
 ### Framework versions