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arabert_baseline_style_task1_fold1

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metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
  - generated_from_trainer
model-index:
  - name: arabert_baseline_style_task1_fold1
    results: []

arabert_baseline_style_task1_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: 0.4983
  • Qwk: 0.5052
  • Mse: 0.4984

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 5.8113 -0.0102 5.7669
No log 0.6667 4 2.3576 0.0342 2.3554
No log 1.0 6 1.4911 0.0652 1.4969
No log 1.3333 8 0.7580 0.1021 0.7628
No log 1.6667 10 0.5619 0.2851 0.5662
No log 2.0 12 0.6485 0.0870 0.6536
No log 2.3333 14 1.0404 0.1138 1.0530
No log 2.6667 16 0.6654 0.2646 0.6722
No log 3.0 18 0.4343 0.3425 0.4348
No log 3.3333 20 0.4318 0.4057 0.4340
No log 3.6667 22 0.4542 0.4057 0.4579
No log 4.0 24 0.5421 0.3191 0.5486
No log 4.3333 26 0.4470 0.3780 0.4507
No log 4.6667 28 0.4369 0.5130 0.4397
No log 5.0 30 0.4435 0.5130 0.4458
No log 5.3333 32 0.4758 0.6488 0.4772
No log 5.6667 34 0.5072 0.5130 0.5092
No log 6.0 36 0.5982 0.4160 0.6024
No log 6.3333 38 0.6201 0.3368 0.6243
No log 6.6667 40 0.5336 0.4731 0.5349
No log 7.0 42 0.5080 0.6613 0.5072
No log 7.3333 44 0.4953 0.6613 0.4944
No log 7.6667 46 0.4884 0.5689 0.4879
No log 8.0 48 0.4997 0.5052 0.4999
No log 8.3333 50 0.5187 0.4731 0.5194
No log 8.6667 52 0.5092 0.4731 0.5095
No log 9.0 54 0.4978 0.5052 0.4977
No log 9.3333 56 0.4999 0.5052 0.5000
No log 9.6667 58 0.5004 0.5052 0.5006
No log 10.0 60 0.4983 0.5052 0.4984

Framework versions

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