aomar85 / finetuned-arabert-mixed-random-datasets

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Model's Last Updated: July 17 2022
text-classification

Introduction of finetuned-arabert-mixed-random-datasets

Model Details of finetuned-arabert-mixed-random-datasets

finetuned-arabert-mixed-random-datasets

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0735
  • Accuracy: 0.9795
  • Precision: 0.9798
  • Recall: 0.9778
  • F1: 0.9788
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
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.0708 1.0 73181 0.0645 0.9773 0.9867 0.9662 0.9764
0.0612 2.0 146362 0.0763 0.9783 0.9856 0.9693 0.9774
0.0544 3.0 219543 0.0824 0.9786 0.9860 0.9695 0.9777
0.0483 4.0 292724 0.0735 0.9795 0.9798 0.9778 0.9788
Framework versions
  • Transformers 4.20.1
  • Pytorch 1.12.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1

Runs of aomar85 finetuned-arabert-mixed-random-datasets on huggingface.co

21
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More Information About finetuned-arabert-mixed-random-datasets huggingface.co Model

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finetuned-arabert-mixed-random-datasets install

finetuned-arabert-mixed-random-datasets is an open source model from GitHub that offers a free installation service, and any user can find finetuned-arabert-mixed-random-datasets on GitHub to install. At the same time, huggingface.co provides the effect of finetuned-arabert-mixed-random-datasets install, users can directly use finetuned-arabert-mixed-random-datasets installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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