End of training

README.md

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+---
+base_model: lafifi-24/arbert_arabic_dialect_identification
+tags:
+- generated_from_trainer
+model-index:
+- name: arbert_arabic_dialect_identification
+  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. -->
+
+# arbert_arabic_dialect_identification
+
+This model is a fine-tuned version of [lafifi-24/arbert_arabic_dialect_identification](https://huggingface.co/lafifi-24/arbert_arabic_dialect_identification) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7977
+- F1-score: 0.5948
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 290  | 1.4459          | 0.5037   |
+| 1.4958        | 2.0   | 580  | 1.5787          | 0.5153   |
+| 1.4958        | 3.0   | 870  | 1.4938          | 0.5693   |
+| 0.7952        | 4.0   | 1160 | 1.7462          | 0.5504   |
+| 0.7952        | 5.0   | 1450 | 1.7977          | 0.5948   |
+| 0.4922        | 6.0   | 1740 | 2.1508          | 0.5682   |
+| 0.3171        | 7.0   | 2030 | 2.5673          | 0.5335   |
+| 0.3171        | 8.0   | 2320 | 2.5563          | 0.5658   |
+| 0.2204        | 9.0   | 2610 | 2.8487          | 0.5336   |
+| 0.2204        | 10.0  | 2900 | 3.0247          | 0.5422   |
+| 0.1511        | 11.0  | 3190 | 2.8925          | 0.5594   |
+| 0.1511        | 12.0  | 3480 | 3.2729          | 0.5333   |
+| 0.0967        | 13.0  | 3770 | 3.2754          | 0.5531   |
+| 0.0615        | 14.0  | 4060 | 3.3330          | 0.5430   |
+| 0.0615        | 15.0  | 4350 | 3.3549          | 0.5430   |
+| 0.043         | 16.0  | 4640 | 3.3918          | 0.5637   |
+| 0.043         | 17.0  | 4930 | 3.5727          | 0.5381   |
+| 0.037         | 18.0  | 5220 | 3.5450          | 0.5499   |
+| 0.0187        | 19.0  | 5510 | 3.5421          | 0.5394   |
+| 0.0187        | 20.0  | 5800 | 3.5514          | 0.5403   |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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runs/Apr25_10-48-00_af4f541fcf8d/events.out.tfevents.1714047339.af4f541fcf8d.628.1

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