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arabert_cross_vocabulary_task6_fold6

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metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
  - generated_from_trainer
model-index:
  - name: arabert_cross_vocabulary_task6_fold6
    results: []

arabert_cross_vocabulary_task6_fold6

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: 0.4868
  • Qwk: 0.6478
  • Mse: 0.4856

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: 1

Training results

Training Loss Epoch Step Validation Loss Qwk Mse
No log 0.0308 2 2.1344 0.0845 2.1260
No log 0.0615 4 1.0808 0.2961 1.0693
No log 0.0923 6 1.3454 0.2890 1.3254
No log 0.1231 8 0.6739 0.5314 0.6662
No log 0.1538 10 0.5779 0.6649 0.5736
No log 0.1846 12 0.5912 0.7569 0.5902
No log 0.2154 14 0.5775 0.7630 0.5772
No log 0.2462 16 0.5694 0.6622 0.5684
No log 0.2769 18 0.7642 0.5844 0.7634
No log 0.3077 20 1.2490 0.4005 1.2461
No log 0.3385 22 1.2661 0.3780 1.2624
No log 0.3692 24 0.8020 0.5334 0.8002
No log 0.4 26 0.6377 0.6083 0.6361
No log 0.4308 28 0.5794 0.6047 0.5774
No log 0.4615 30 0.5299 0.6342 0.5280
No log 0.4923 32 0.4877 0.6511 0.4861
No log 0.5231 34 0.4827 0.6483 0.4810
No log 0.5538 36 0.4477 0.7136 0.4467
No log 0.5846 38 0.4513 0.6644 0.4498
No log 0.6154 40 0.4864 0.6268 0.4842
No log 0.6462 42 0.5576 0.5786 0.5544
No log 0.6769 44 0.6809 0.4995 0.6764
No log 0.7077 46 0.7399 0.4954 0.7349
No log 0.7385 48 0.6881 0.4918 0.6838
No log 0.7692 50 0.6232 0.5309 0.6197
No log 0.8 52 0.5631 0.5592 0.5605
No log 0.8308 54 0.5054 0.6188 0.5036
No log 0.8615 56 0.4969 0.6158 0.4954
No log 0.8923 58 0.4962 0.6158 0.4947
No log 0.9231 60 0.4915 0.6233 0.4901
No log 0.9538 62 0.4898 0.6318 0.4885
No log 0.9846 64 0.4868 0.6478 0.4856

Framework versions

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