deberta-v3-large-AVeriTeC-nli

This model was finetuned from microsoft/deberta-v3-large on an AVeriTec dataset. It achieves the following results on the evaluation set:

Intended uses & limitations

This model is intended for usage in a pipeline for open-domain fact-checking task.

Training and evaluation data

See chenxwh/AVeriTeC

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: adamw_torch
  • training_precision: float16
  • learning_rate: 1e-5
  • per_device_train_batch_size: 32
  • num_train_epochs: 10
  • weight_decay: 0.01
  • load_best_model_at_end: True #early stopping!
  • warmup_ratio: 0.06

Training results

Framework versions

  • Transformers 4.43.0
  • TensorFlow 2.17.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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Evaluation results