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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: AraBART-finetuned-wiki-ar
    results: []

AraBART-finetuned-wiki-ar

This model is a fine-tuned version of moussaKam/AraBART on the arbml/wiki_lingua_ar dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6184
  • Rouge1: 0.87
  • Rouge2: 0.1157
  • Rougel: 0.8635
  • Rougelsum: 0.8783
  • Gen Len: 19.3131

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.9386 1.0 2556 2.6184 0.87 0.1157 0.8635 0.8783 19.3131

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1
  • Tokenizers 0.13.2