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AdQuest-when-how-many

This model is a fine-tuned version of nidhinthomas/electra-small-squad-finetuned-synQA on the squad_adversarial dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5231

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: 3

Training results

Training Loss Epoch Step Validation Loss
1.0179 1.0 3320 2.2782
0.9379 2.0 6640 2.3738
0.8668 3.0 9960 2.5231

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Model size
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Dataset used to train nidhinthomas/AdQuest-when-how-many