gpt2.CEBaB_confounding.price_food_ambiance_negative.absa.5-class.seed_44

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

  • Loss: 0.4608
  • Accuracy: 0.8270
  • Macro-f1: 0.8253
  • Weighted-macro-f1: 0.8274

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: 32
  • eval_batch_size: 32
  • seed: 44
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.10.2+cu102
  • Datasets 2.5.2
  • Tokenizers 0.12.1
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Evaluation results