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mathildeparlo
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ar_specific_model

Text Classification
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PyTorch
electra
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metadata
base_model: ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: ar_specific_model
    results: []

ar_specific_model

This model is a fine-tuned version of ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1801
  • Accuracy: 0.9416
  • F1: 0.9429
  • Precision: 0.9234
  • Recall: 0.9632

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 Accuracy F1 Precision Recall
0.1996 1.0 1850 0.1801 0.9416 0.9429 0.9234 0.9632

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1