update model card README.md

README.md

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 ---
-license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: fine-tuned-arabert-random-negative
+  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. -->
+
+# fine-tuned-arabert-random-negative
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0080
+- Accuracy: 0.9989
+- Precision: 0.9990
+- Recall: 0.9988
+- F1: 0.9989
+
+## 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     |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0105        | 1.0   | 62920  | 0.0061          | 0.9986   | 0.9993    | 0.9979 | 0.9986 |
+| 0.0069        | 2.0   | 125840 | 0.0096          | 0.9986   | 0.9993    | 0.9979 | 0.9986 |
+| 0.0058        | 3.0   | 188760 | 0.0084          | 0.9988   | 0.9988    | 0.9988 | 0.9988 |
+| 0.0047        | 4.0   | 251680 | 0.0080          | 0.9989   | 0.9990    | 0.9988 | 0.9989 |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1