Model save

README.md

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+---
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 2levels_6565
+  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_6565
+
+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: 0.8327
+- Macro F1: 0.7976
+- Macro Precision: 0.8038
+- Macro Recall: 0.7993
+- Accuracy: 0.7982
+
+## 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   | 103  | 0.4498          | 0.8015   | 0.8015          | 0.8016       | 0.8015   |
+| No log        | 2.0   | 206  | 0.4532          | 0.8035   | 0.8083          | 0.8049       | 0.8039   |
+| No log        | 3.0   | 309  | 0.5014          | 0.8066   | 0.8084          | 0.8073       | 0.8067   |
+| No log        | 4.0   | 412  | 0.6651          | 0.7985   | 0.8048          | 0.8002       | 0.7991   |
+| 0.245         | 5.0   | 515  | 0.7793          | 0.8004   | 0.8050          | 0.8017       | 0.8008   |
+| 0.245         | 6.0   | 618  | 0.8327          | 0.7976   | 0.8038          | 0.7993       | 0.7982   |
+
+
+### 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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