Model save

README.md

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+---
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 19levels_52521
+  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. -->
+
+# 19levels_52521
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9054
+- Macro F1: 0.3798
+- Macro Precision: 0.3840
+- Macro Recall: 0.3883
+- Accuracy: 0.5238
+
+## 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: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
+| 1.7168        | 1.0   | 821  | 1.3900          | 0.3710   | 0.3964          | 0.3909       | 0.5166   |
+| 1.2221        | 2.0   | 1642 | 1.3667          | 0.3603   | 0.3970          | 0.3625       | 0.5335   |
+| 1.02          | 3.0   | 2463 | 1.4292          | 0.3891   | 0.3945          | 0.4063       | 0.5370   |
+| 0.7054        | 4.0   | 3284 | 1.5853          | 0.3706   | 0.3779          | 0.3837       | 0.5271   |
+| 0.5116        | 5.0   | 4105 | 1.7836          | 0.3813   | 0.3804          | 0.3939       | 0.5240   |
+| 0.4122        | 6.0   | 4926 | 1.9054          | 0.3798   | 0.3840          | 0.3883       | 0.5238   |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.19.1

model.safetensors

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