End of training

README.md

@@ -1,31 +1,13 @@
 ---
-base_model: Yousefmd/arabert-sentiment-classification
+base_model: aubmindlab/bert-large-arabertv02
 tags:
 - generated_from_trainer
-datasets:
-- sem_eval_2018_task_1
 metrics:
 - f1
 - accuracy
 model-index:
 - name: arabert-emotions-classification
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: sem_eval_2018_task_1
-      type: sem_eval_2018_task_1
-      config: subtask5.arabic
-      split: validation
-      args: subtask5.arabic
-    metrics:
-    - name: F1
-      type: f1
-      value: 0.7188111067657411
-    - name: Accuracy
-      type: accuracy
-      value: 0.27521367521367524
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # arabert-emotions-classification
 
-This model is a fine-tuned version of [Yousefmd/arabert-sentiment-classification](https://huggingface.co/Yousefmd/arabert-sentiment-classification) on the sem_eval_2018_task_1 dataset.
+This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02](https://huggingface.co/aubmindlab/bert-large-arabertv02) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2643
-- F1: 0.7188
-- Roc Auc: 0.8066
-- Accuracy: 0.2752
+- Loss: 0.1600
+- F1: 0.7573
+- Roc Auc: 0.8538
+- Accuracy: 0.7285
 
 ## Model description
 
@@ -69,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| No log        | 1.0   | 114  | 0.3042          | 0.6683 | 0.7722  | 0.2342   |
-| No log        | 2.0   | 228  | 0.2791          | 0.6964 | 0.7904  | 0.2598   |
-| No log        | 3.0   | 342  | 0.2670          | 0.7163 | 0.8040  | 0.2821   |
-| No log        | 4.0   | 456  | 0.2651          | 0.7169 | 0.8041  | 0.2718   |
-| 0.2665        | 5.0   | 570  | 0.2643          | 0.7188 | 0.8066  | 0.2752   |
+| No log        | 1.0   | 428  | 0.1942          | 0.6894 | 0.7986  | 0.6232   |
+| 0.2913        | 2.0   | 856  | 0.1681          | 0.7227 | 0.8256  | 0.6735   |
+| 0.1695        | 3.0   | 1284 | 0.1535          | 0.7587 | 0.8503  | 0.7205   |
+| 0.1286        | 4.0   | 1712 | 0.1585          | 0.7509 | 0.8481  | 0.7185   |
+| 0.1061        | 5.0   | 2140 | 0.1600          | 0.7573 | 0.8538  | 0.7285   |
 
 
 ### Framework versions
 
-- Transformers 4.33.3
-- Pytorch 1.12.0
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fd02b2e8996128c1278931f9e5690e4857d3d076e16afa959370652d87fdfd68
+oid sha256:6467c7ea0194d515f9a4ee031090ed24a022b26ccfaf5d60ff594c3a4af40643
 size 1477860657