End of training

README.md

@@ -1,3 +1,76 @@
 ---
-license: apache-2.0
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+datasets:
+- offenseval_2020
+metrics:
+- accuracy
+model-index:
+- name: ArabertHateSpeech
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: offenseval_2020
+      type: offenseval_2020
+      config: ar
+      split: test
+      args: ar
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9255610290093049
 ---
+
+<!-- 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. -->
+
+# ArabertHateSpeech
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the offenseval_2020 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3259
+- Accuracy: 0.9256
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1895        | 1.0   | 980  | 0.4345          | 0.9206   |
+| 0.1472        | 2.0   | 1960 | 0.3537          | 0.9228   |
+| 0.1365        | 3.0   | 2940 | 0.3259          | 0.9256   |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3