Model save

README.md

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+---
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 2levels_13130
+  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. -->
+
+# 2levels_13130
+
+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: 0.9816
+- Macro F1: 0.8006
+- Macro Precision: 0.8137
+- Macro Recall: 0.8036
+- Accuracy: 0.8020
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
+| No log        | 1.0   | 206  | 0.4875          | 0.7866   | 0.8010          | 0.7899       | 0.7883   |
+| No log        | 2.0   | 412  | 0.4121          | 0.8189   | 0.8210          | 0.8197       | 0.8190   |
+| 0.3409        | 3.0   | 618  | 0.5835          | 0.8053   | 0.8184          | 0.8082       | 0.8066   |
+| 0.3409        | 4.0   | 824  | 0.7163          | 0.7948   | 0.8131          | 0.7987       | 0.7969   |
+| 0.1054        | 5.0   | 1030 | 0.8684          | 0.8000   | 0.8132          | 0.8030       | 0.8014   |
+| 0.1054        | 6.0   | 1236 | 0.9816          | 0.8006   | 0.8137          | 0.8036       | 0.8020   |
+
+
+### 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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