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: shared-task_content_bert
+  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. -->
+
+# shared-task_content_bert
+
+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: 1.6166
+- Macro F1: 0.5238
+- Macro Precision: 0.5506
+- Macro Recall: 0.5088
+- Accuracy: 0.5373
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
+| 1.3557        | 1.0   | 857  | 1.1959          | 0.5085   | 0.5507          | 0.4906       | 0.5293   |
+| 1.006         | 2.0   | 1714 | 1.1857          | 0.5130   | 0.5522          | 0.5042       | 0.5339   |
+| 0.8063        | 3.0   | 2571 | 1.2605          | 0.5181   | 0.5385          | 0.5079       | 0.5321   |
+| 0.6613        | 4.0   | 3428 | 1.3541          | 0.5206   | 0.5486          | 0.5064       | 0.5346   |
+| 0.5106        | 5.0   | 4285 | 1.5204          | 0.5151   | 0.5460          | 0.4981       | 0.5304   |
+| 0.4373        | 6.0   | 5142 | 1.6166          | 0.5238   | 0.5506          | 0.5088       | 0.5373   |
+
+
+### Framework versions
+
+- Transformers 4.53.0
+- Pytorch 2.6.0+cu124
+- Datasets 2.14.4
+- Tokenizers 0.21.2

model.safetensors

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