Model save

README.md

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+---
+library_name: transformers
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_content
+  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. -->
+
+# bert_content
+
+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: 1.6934
+- Macro F1: 0.5805
+- Macro Precision: 0.5862
+- Macro Recall: 0.5892
+- Accuracy: 0.5991
+
+## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
+| 1.2469        | 1.0   | 821  | 1.0233          | 0.5827   | 0.5896          | 0.5871       | 0.5991   |
+| 0.8745        | 2.0   | 1642 | 1.0381          | 0.5912   | 0.6071          | 0.6001       | 0.6124   |
+| 0.6973        | 3.0   | 2463 | 1.0917          | 0.5939   | 0.6149          | 0.6068       | 0.6191   |
+| 0.4263        | 4.0   | 3284 | 1.3179          | 0.5801   | 0.5826          | 0.5951       | 0.6001   |
+| 0.2791        | 5.0   | 4105 | 1.5275          | 0.5824   | 0.5921          | 0.5874       | 0.6019   |
+| 0.2086        | 6.0   | 4926 | 1.6934          | 0.5805   | 0.5862          | 0.5892       | 0.5991   |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1

model.safetensors

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