update model card README.md

README.md

@@ -0,0 +1,64 @@
+---
+base_model: aubmindlab/bert-base-arabert
+tags:
+- generated_from_trainer
+model-index:
+- name: Labour-Law-SA-QA
+  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. -->
+
+# Labour-Law-SA-QA
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1740
+
+## 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: 9
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 34   | 1.6275          |
+| No log        | 2.0   | 68   | 1.4822          |
+| No log        | 3.0   | 102  | 1.4659          |
+| No log        | 4.0   | 136  | 1.3038          |
+| No log        | 5.0   | 170  | 1.3173          |
+| No log        | 6.0   | 204  | 1.1665          |
+| No log        | 7.0   | 238  | 1.1344          |
+| No log        | 8.0   | 272  | 1.1346          |
+| No log        | 9.0   | 306  | 1.1740          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1
+- Datasets 2.14.4
+- Tokenizers 0.13.3