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article2KW_test2.0_barthez-orangesum-title_finetuned_for_mlm

This model is a fine-tuned version of moussaKam/barthez-orangesum-title on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0681

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: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.3352 1.0 1205 0.0775
0.0803 2.0 2410 0.0705
0.0719 3.0 3615 0.0681

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.11.0
  • Datasets 2.3.2
  • Tokenizers 0.11.0
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