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: fine-tuned-arabert_mixdata_latest
+  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_mixdata_latest
+
+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: 0.1937
+- Accuracy: 0.9572
+- Precision: 0.9695
+- Recall: 0.9612
+- F1: 0.9653
+
+## 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     |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.159         | 1.0   | 64776  | 0.1417          | 0.9537   | 0.9620    | 0.9633 | 0.9627 |
+| 0.1303        | 2.0   | 129552 | 0.1743          | 0.9551   | 0.9697    | 0.9575 | 0.9636 |
+| 0.1135        | 3.0   | 194328 | 0.1615          | 0.9570   | 0.9652    | 0.9654 | 0.9653 |
+| 0.0957        | 4.0   | 259104 | 0.1937          | 0.9572   | 0.9695    | 0.9612 | 0.9653 |
+
+
+### Framework versions
+
+- Transformers 4.19.3
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1