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arabert_baseline_mechanics_task7_fold1

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metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
  - generated_from_trainer
model-index:
  - name: arabert_baseline_mechanics_task7_fold1
    results: []

arabert_baseline_mechanics_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: 0.3250
  • Qwk: 0.7258
  • Mse: 0.3234

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 0.9603 0.2687 0.9651
No log 0.6667 4 0.6926 0.5364 0.7202
No log 1.0 6 0.7727 0.6067 0.8086
No log 1.3333 8 0.7221 0.3538 0.7310
No log 1.6667 10 0.6375 0.4368 0.6487
No log 2.0 12 0.5211 0.6263 0.5378
No log 2.3333 14 0.4993 0.5911 0.5125
No log 2.6667 16 0.5624 0.6433 0.5686
No log 3.0 18 0.5828 0.6023 0.5851
No log 3.3333 20 0.4962 0.6576 0.4985
No log 3.6667 22 0.4100 0.6702 0.4135
No log 4.0 24 0.4169 0.6702 0.4169
No log 4.3333 26 0.4947 0.6509 0.4883
No log 4.6667 28 0.6006 0.5556 0.5893
No log 5.0 30 0.5615 0.6121 0.5504
No log 5.3333 32 0.4063 0.6702 0.4018
No log 5.6667 34 0.3483 0.7083 0.3470
No log 6.0 36 0.3490 0.7258 0.3465
No log 6.3333 38 0.3721 0.7258 0.3681
No log 6.6667 40 0.3827 0.7337 0.3782
No log 7.0 42 0.4201 0.6757 0.4135
No log 7.3333 44 0.4186 0.6757 0.4120
No log 7.6667 46 0.3821 0.7337 0.3775
No log 8.0 48 0.3398 0.7258 0.3377
No log 8.3333 50 0.3148 0.7258 0.3139
No log 8.6667 52 0.3098 0.7258 0.3091
No log 9.0 54 0.3110 0.7258 0.3101
No log 9.3333 56 0.3160 0.7258 0.3149
No log 9.6667 58 0.3224 0.7258 0.3209
No log 10.0 60 0.3250 0.7258 0.3234

Framework versions

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