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-arabGloss-ds
+  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-arabGloss-ds
+
+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: 0.7052
+- Accuracy: 0.8295
+- Precision: 0.8016
+- Recall: 0.6175
+- F1: 0.6976
+
+## 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     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.4109        | 1.0   | 9494  | 0.4561          | 0.8065   | 0.6987    | 0.6900 | 0.6943 |
+| 0.297         | 2.0   | 18988 | 0.4803          | 0.8213   | 0.7353    | 0.6855 | 0.7095 |
+| 0.2316        | 3.0   | 28482 | 0.5530          | 0.8278   | 0.7438    | 0.7007 | 0.7216 |
+| 0.1885        | 4.0   | 37976 | 0.7052          | 0.8295   | 0.8016    | 0.6175 | 0.6976 |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.1
+- Tokenizers 0.12.1