update model card README.md

README.md

@@ -1,3 +1,69 @@
 ---
-license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: M11
+  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. -->
+
+# M11
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0194
+- Accuracy: 0.9974
+- Precision: 0.9961
+- Recall: 0.9987
+- F1: 0.9974
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0269        | 1.0   | 21116  | 0.0205          | 0.9961   | 0.9941    | 0.9981 | 0.9961 |
+| 0.012         | 2.0   | 42232  | 0.0179          | 0.9968   | 0.9963    | 0.9974 | 0.9968 |
+| 0.0067        | 3.0   | 63348  | 0.0201          | 0.9972   | 0.9971    | 0.9972 | 0.9972 |
+| 0.0042        | 4.0   | 84464  | 0.0180          | 0.9975   | 0.9962    | 0.9987 | 0.9975 |
+| 0.0028        | 5.0   | 105580 | 0.0194          | 0.9974   | 0.9961    | 0.9987 | 0.9974 |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1