End of training

README.md

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+---
+base_model: aubmindlab/bert-base-arabertv2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: finetunning
+  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. -->
+
+# finetunning
+
+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: 0.3308
+- Accuracy: 0.9494
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2049        | 1.0   | 1250  | 0.1725          | 0.9478   |
+| 0.1392        | 2.0   | 2500  | 0.1712          | 0.9456   |
+| 0.0982        | 3.0   | 3750  | 0.1812          | 0.9476   |
+| 0.0769        | 4.0   | 5000  | 0.2262          | 0.9472   |
+| 0.0454        | 5.0   | 6250  | 0.2438          | 0.9504   |
+| 0.0364        | 6.0   | 7500  | 0.2611          | 0.9496   |
+| 0.0235        | 7.0   | 8750  | 0.3145          | 0.9476   |
+| 0.015         | 8.0   | 10000 | 0.3103          | 0.9494   |
+| 0.0131        | 9.0   | 11250 | 0.3279          | 0.9492   |
+| 0.0082        | 10.0  | 12500 | 0.3308          | 0.9494   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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