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--- |
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base_model: lafifi-24/arbert_arabic_dialect_identification |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: arbert_arabic_dialect_identification |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# arbert_arabic_dialect_identification |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7977 |
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- F1-score: 0.5948 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1-score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 290 | 1.4459 | 0.5037 | |
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| 1.4958 | 2.0 | 580 | 1.5787 | 0.5153 | |
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| 1.4958 | 3.0 | 870 | 1.4938 | 0.5693 | |
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| 0.7952 | 4.0 | 1160 | 1.7462 | 0.5504 | |
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| 0.7952 | 5.0 | 1450 | 1.7977 | 0.5948 | |
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| 0.4922 | 6.0 | 1740 | 2.1508 | 0.5682 | |
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| 0.3171 | 7.0 | 2030 | 2.5673 | 0.5335 | |
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| 0.3171 | 8.0 | 2320 | 2.5563 | 0.5658 | |
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| 0.2204 | 9.0 | 2610 | 2.8487 | 0.5336 | |
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| 0.2204 | 10.0 | 2900 | 3.0247 | 0.5422 | |
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| 0.1511 | 11.0 | 3190 | 2.8925 | 0.5594 | |
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| 0.1511 | 12.0 | 3480 | 3.2729 | 0.5333 | |
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| 0.0967 | 13.0 | 3770 | 3.2754 | 0.5531 | |
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| 0.0615 | 14.0 | 4060 | 3.3330 | 0.5430 | |
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| 0.0615 | 15.0 | 4350 | 3.3549 | 0.5430 | |
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| 0.043 | 16.0 | 4640 | 3.3918 | 0.5637 | |
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| 0.043 | 17.0 | 4930 | 3.5727 | 0.5381 | |
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| 0.037 | 18.0 | 5220 | 3.5450 | 0.5499 | |
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| 0.0187 | 19.0 | 5510 | 3.5421 | 0.5394 | |
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| 0.0187 | 20.0 | 5800 | 3.5514 | 0.5403 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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