End of training

README.md

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+---
+license: apache-2.0
+base_model: CAMeL-Lab/bert-base-arabic-camelbert-msa-ner
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: hadith-finetuned-ner2
+  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. -->
+
+# hadith-finetuned-ner2
+
+This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-msa-ner](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa-ner) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1591
+- Precision: 0.8899
+- Recall: 0.9602
+- F1: 0.9237
+- Accuracy: 0.9452
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.5252        | 1.0   | 468  | 0.4358          | 0.7801    | 0.7819 | 0.7810 | 0.8478   |
+| 0.228         | 2.0   | 937  | 0.2789          | 0.8225    | 0.9172 | 0.8673 | 0.9055   |
+| 0.1561        | 3.0   | 1405 | 0.2077          | 0.8648    | 0.9395 | 0.9006 | 0.9301   |
+| 0.1759        | 4.0   | 1874 | 0.1692          | 0.8914    | 0.9506 | 0.9201 | 0.9434   |
+| 0.1496        | 4.99  | 2340 | 0.1591          | 0.8899    | 0.9602 | 0.9237 | 0.9452   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.14.1

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