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my_awesome_swag_model

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

  • Loss: 1.0198
  • Accuracy: 0.7906

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: 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 Accuracy
0.765 1.0 4597 0.5803 0.7700
0.3624 2.0 9194 0.5959 0.7865
0.1495 3.0 13791 1.0198 0.7906

Framework versions

  • Transformers 4.32.1
  • Pytorch 1.13.1
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Finetuned from

Dataset used to train vuminhtue/my_awesome_swag_model