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metadata
base_model: lafifi-24/arbert_arabic_dialect_identification
tags:
  - generated_from_trainer
model-index:
  - name: arbert_arabic_dialect_identification
    results: []

arbert_arabic_dialect_identification

This model is a fine-tuned version of 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