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metadata
base_model: Ammar-alhaj-ali/arabic-MARBERT-dialect-identification-city
tags:
  - generated_from_trainer
model-index:
  - name: Arabic-MARBERT-dialect-Identification-City-Model
    results: []

Arabic-MARBERT-dialect-Identification-City-Model

This model is a fine-tuned version of Ammar-alhaj-ali/arabic-MARBERT-dialect-identification-city on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8911
  • F1-score: 0.5786

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 1.0 442 1.5955 0.4477
1.8911 2.0 884 1.6004 0.5083
1.3056 3.0 1326 1.5384 0.5537
0.989 4.0 1768 1.7560 0.5450
0.7526 5.0 2210 1.8035 0.5572
0.5765 6.0 2652 1.8953 0.5764
0.4799 7.0 3094 2.3015 0.5486
0.3629 8.0 3536 2.7364 0.5368
0.3629 9.0 3978 2.8416 0.5442
0.277 10.0 4420 2.8911 0.5786
0.2196 11.0 4862 3.2772 0.5304
0.1656 12.0 5304 3.1206 0.5394
0.1555 13.0 5746 3.4600 0.5447
0.1315 14.0 6188 3.4378 0.5445
0.1039 15.0 6630 3.5247 0.5409
0.0796 16.0 7072 3.6359 0.5419
0.0683 17.0 7514 3.6723 0.5339
0.0683 18.0 7956 3.6808 0.5435
0.0567 19.0 8398 3.7677 0.5307
0.0382 20.0 8840 3.8121 0.5306

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1