update model card README.md

README.md

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 ---
-license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: M12-BERT-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. -->
+
+# M12-BERT-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: 0.2225
+- Accuracy: 0.9344
+- Precision: 0.8927
+- Recall: 0.9873
+- F1: 0.9377
+
+## 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     |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.2303        | 1.0   | 49975  | 0.2080          | 0.9372   | 0.9036    | 0.9787 | 0.9397 |
+| 0.2109        | 2.0   | 99950  | 0.2342          | 0.9337   | 0.8952    | 0.9825 | 0.9368 |
+| 0.203         | 3.0   | 149925 | 0.2192          | 0.9375   | 0.9070    | 0.9749 | 0.9397 |
+| 0.1962        | 4.0   | 199900 | 0.2225          | 0.9344   | 0.8927    | 0.9873 | 0.9377 |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1