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bert-base-uncased-finetuned-swag

This model is a fine-tuned version of bert-base-uncased on the cosmos_qa dataset. It achieves the following results on the evaluation set:

  • Loss: 3.2446
  • Accuracy: 0.5564

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • 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 Accuracy
1.0929 1.0 6316 1.0877 0.5404
0.6544 2.0 12632 1.4658 0.5719
0.3397 3.0 18948 3.2446 0.5564

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.1.1+cu121
  • Datasets 2.12.0
  • Tokenizers 0.13.2
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Finetuned from

Dataset used to train Benlitzen43/bert-base-uncased-finetuned-swag