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metadata
language:
  - en
license: mit
tags:
  - generated_from_trainer
datasets:
  - OpenTable
metrics:
  - accuracy
model-index:
  - name: gpt2.CEBaB_confounding.price_food_ambiance_negative.absa.5-class.seed_43
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: OpenTable OPENTABLE-ABSA
          type: OpenTable
          args: opentable-absa
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8374133006935944

gpt2.CEBaB_confounding.price_food_ambiance_negative.absa.5-class.seed_43

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: 0.4611
  • Accuracy: 0.8374
  • Macro-f1: 0.8364
  • Weighted-macro-f1: 0.8375

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: 43
  • 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