End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: CAMeL-Lab/bert-base-arabic-camelbert-msa
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: Monglish_Arabic_FAQ-V3
+  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. -->
+
+# Monglish_Arabic_FAQ-V3
+
+This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-msa](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3059
+- Accuracy: 0.9558
+- F1: 0.9520
+- Precision: 0.9674
+- Recall: 0.9558
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy | F1     | Validation Loss | Precision | Recall |
+|:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|:---------:|:------:|
+| 1.1065        | 1.0   | 226  | 0.8850   | 0.8681 | 1.0925          | 0.9284    | 0.8850 |
+| 0.12          | 2.0   | 452  | 0.3676   | 0.9381 | 0.9392          | 0.9639    | 0.9381 |
+| 0.0403        | 3.0   | 678  | 0.2427   | 0.9558 | 0.9562          | 0.9705    | 0.9558 |
+| 0.0179        | 4.0   | 904  | 0.2722   | 0.9469 | 0.9443          | 0.9645    | 0.9469 |
+| 0.0129        | 5.0   | 1130 | 0.2694   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0151        | 6.0   | 1356 | 0.2493   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0046        | 7.0   | 1582 | 0.2811   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0036        | 8.0   | 1808 | 0.2630   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0051        | 9.0   | 2034 | 0.2787   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0038        | 10.0  | 2260 | 0.2924   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0027        | 11.0  | 2486 | 0.3098   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0034        | 12.0  | 2712 | 0.3010   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0046        | 13.0  | 2938 | 0.3051   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0033        | 14.0  | 3164 | 0.3070   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+| 0.0016        | 15.0  | 3390 | 0.3059   | 0.9558 | 0.9520          | 0.9674    | 0.9558 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

runs/Sep24_13-39-02_94e5570e14ec/events.out.tfevents.1727185144.94e5570e14ec.206.1

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