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DRU-RE Class-Weighted Loss Run

Full artifacts for the DRU-RE class-weighted-loss run.

Run type

Class-weighted loss.

  • Weighted sampler: False
  • Class-weighted loss: True
  • Base model: U4RASD/NeoAraBERT
  • Max length: 512

Important files

  • model/pytorch_model.bin
  • model/ tokenizer/config files
  • configs/
  • artifacts/final_eval_metrics_after_best_reload.json
  • artifacts/predictions.txt
  • artifacts/submission.zip

Best checkpoint

outputs/DRU-RE-class-weighted-loss/checkpoints/checkpoint-2000

Best metric

0.30192284616872145

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