End of training

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
 tags:
 - generated_from_trainer
 metrics:
@@ -7,7 +8,6 @@ metrics:
 - f1
 - precision
 - recall
-base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
 model-index:
 - name: POEMS-CAMELBERT-CA-RUN4-20-fullDatafreez
   results: []
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-ca](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9281
-- Accuracy: 0.6272
-- F1: 0.6272
-- Precision: 0.6272
-- Recall: 0.6272
+- Loss: 1.2919
+- Accuracy: 0.7047
+- F1: 0.7047
+- Precision: 0.7047
+- Recall: 0.7047
 
 ## Model description
 
@@ -55,19 +55,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.1788        | 1.0   | 568  | 1.0292          | 0.5625   | 0.5625 | 0.5625    | 0.5625 |
-| 0.9947        | 2.0   | 1136 | 0.9846          | 0.5691   | 0.5691 | 0.5691    | 0.5691 |
-| 0.8545        | 3.0   | 1704 | 1.0733          | 0.5802   | 0.5802 | 0.5802    | 0.5802 |
-| 0.7233        | 4.0   | 2272 | 1.0215          | 0.6090   | 0.6090 | 0.6090    | 0.6090 |
-| 0.6035        | 5.0   | 2840 | 0.9992          | 0.6348   | 0.6348 | 0.6348    | 0.6348 |
-| 0.4944        | 6.0   | 3408 | 1.1378          | 0.6179   | 0.6179 | 0.6179    | 0.6179 |
-| 0.3977        | 7.0   | 3976 | 1.2612          | 0.6188   | 0.6188 | 0.6188    | 0.6188 |
-| 0.3079        | 8.0   | 4544 | 1.2490          | 0.6365   | 0.6365 | 0.6365    | 0.6365 |
-| 0.2381        | 9.0   | 5112 | 1.5318          | 0.6139   | 0.6139 | 0.6139    | 0.6139 |
-| 0.1924        | 10.0  | 5680 | 1.6346          | 0.6268   | 0.6268 | 0.6268    | 0.6268 |
-| 0.1446        | 11.0  | 6248 | 1.7044          | 0.6303   | 0.6303 | 0.6303    | 0.6303 |
-| 0.1195        | 12.0  | 6816 | 1.8142          | 0.625    | 0.625  | 0.625     | 0.625  |
-| 0.0909        | 13.0  | 7384 | 1.9281          | 0.6272   | 0.6272 | 0.6272    | 0.6272 |
+| 1.1886        | 1.0   | 695  | 1.0872          | 0.5447   | 0.5447 | 0.5447    | 0.5447 |
+| 1.0357        | 2.0   | 1390 | 1.0129          | 0.5831   | 0.5831 | 0.5831    | 0.5831 |
+| 0.9067        | 3.0   | 2085 | 1.0089          | 0.5954   | 0.5954 | 0.5954    | 0.5954 |
+| 0.7858        | 4.0   | 2780 | 0.9204          | 0.6453   | 0.6453 | 0.6453    | 0.6453 |
+| 0.6709        | 5.0   | 3475 | 0.9971          | 0.6442   | 0.6442 | 0.6442    | 0.6442 |
+| 0.582         | 6.0   | 4170 | 0.9662          | 0.6739   | 0.6739 | 0.6739    | 0.6739 |
+| 0.5098        | 7.0   | 4865 | 1.0057          | 0.6855   | 0.6855 | 0.6855    | 0.6855 |
+| 0.4498        | 8.0   | 5560 | 1.1139          | 0.6851   | 0.6851 | 0.6851    | 0.6851 |
+| 0.4037        | 9.0   | 6255 | 1.1494          | 0.6862   | 0.6862 | 0.6862    | 0.6862 |
+| 0.3609        | 10.0  | 6950 | 1.1697          | 0.6996   | 0.6996 | 0.6996    | 0.6996 |
+| 0.3328        | 11.0  | 7645 | 1.2636          | 0.6967   | 0.6967 | 0.6967    | 0.6967 |
+| 0.3092        | 12.0  | 8340 | 1.2772          | 0.6956   | 0.6956 | 0.6956    | 0.6956 |
+| 0.2943        | 13.0  | 9035 | 1.2919          | 0.7047   | 0.7047 | 0.7047    | 0.7047 |
 
 
 ### Framework versions