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This model is a fine-tuned version of gpt2 on the imdb dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1703
  • Accuracy: 0.9394

Model description

More information needed

Intended uses & limitations

This is comparable to distilbert-imdb and trained with exactly the same script

It achieves slightly lower loss (0.1703 vs 0.1903) and slightly higher accuracy (0.9394 vs 0.928)

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
0.1967 1.0 1563 0.1703 0.9394

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.13.1+cu117
  • Datasets 2.9.0
  • Tokenizers 0.12.1
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Dataset used to train mnoukhov/gpt2-imdb-sentiment-classifier

Evaluation results