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my_awesome_swag_model

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Steven Liu
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - swag
metrics:
  - accuracy
model-index:
  - name: my_awesome_swag_model
    results: []

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: 0.5192
  • Accuracy: 0.7981

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: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6873 1.0 4597 0.5192 0.7981

Framework versions

  • Transformers 4.23.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.2
  • Tokenizers 0.13.1