update model card README.md

README.md

@@ -1,3 +1,68 @@
 ---
-license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: M11-random-similiarity
+  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-random-similiarity
+
+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: 0.0254
+- Accuracy: 0.9971
+- Precision: 0.9978
+- Recall: 0.9963
+- F1: 0.9971
+
+## 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     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0208        | 1.0   | 13645 | 0.0128          | 0.9971   | 0.9970    | 0.9971 | 0.9971 |
+| 0.0087        | 2.0   | 27290 | 0.0152          | 0.9973   | 0.9974    | 0.9971 | 0.9973 |
+| 0.0057        | 3.0   | 40935 | 0.0174          | 0.9974   | 0.9974    | 0.9974 | 0.9974 |
+| 0.0037        | 4.0   | 54580 | 0.0254          | 0.9971   | 0.9978    | 0.9963 | 0.9971 |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1