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arabert_baseline_vocabulary_task1_fold0

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metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
  - generated_from_trainer
model-index:
  - name: arabert_baseline_relevance_task7_fold1
    results: []

arabert_baseline_relevance_task7_fold1

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1811
  • Qwk: 0.4857
  • Mse: 0.1829

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Qwk Mse
No log 0.3333 2 0.2365 0.3424 0.2296
No log 0.6667 4 0.2621 0.4112 0.2567
No log 1.0 6 0.3169 0.5670 0.3168
No log 1.3333 8 0.3023 0.5145 0.2938
No log 1.6667 10 0.2629 0.2310 0.2513
No log 2.0 12 0.2208 0.4676 0.2109
No log 2.3333 14 0.2071 0.5410 0.2005
No log 2.6667 16 0.1961 0.5410 0.1905
No log 3.0 18 0.1888 0.5093 0.1831
No log 3.3333 20 0.1855 0.5093 0.1806
No log 3.6667 22 0.1838 0.4967 0.1793
No log 4.0 24 0.1870 0.4857 0.1820
No log 4.3333 26 0.1864 0.4857 0.1822
No log 4.6667 28 0.1812 0.4857 0.1788
No log 5.0 30 0.1754 0.4857 0.1742
No log 5.3333 32 0.1723 0.4967 0.1722
No log 5.6667 34 0.1695 0.5695 0.1704
No log 6.0 36 0.1654 0.5695 0.1667
No log 6.3333 38 0.1652 0.5093 0.1667
No log 6.6667 40 0.1707 0.4857 0.1722
No log 7.0 42 0.1771 0.4857 0.1786
No log 7.3333 44 0.1814 0.4857 0.1829
No log 7.6667 46 0.1782 0.4857 0.1801
No log 8.0 48 0.1775 0.5389 0.1799
No log 8.3333 50 0.1799 0.5389 0.1824
No log 8.6667 52 0.1801 0.5389 0.1825
No log 9.0 54 0.1806 0.4857 0.1828
No log 9.3333 56 0.1816 0.4857 0.1837
No log 9.6667 58 0.1812 0.4857 0.1831
No log 10.0 60 0.1811 0.4857 0.1829

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1