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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: deberta-base-finetuned-aqa-newsqa
    results: []

deberta-base-finetuned-aqa-newsqa

This model is a fine-tuned version of stevemobs/deberta-base-finetuned-aqa on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7657

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: 12
  • eval_batch_size: 12
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
0.6883 1.0 17307 0.7325
0.4807 2.0 34614 0.7657

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1