README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
widget:
  - text: >-
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model-index:
  - name: gpt2-amazon-sentiment-classifier-V1.0
    results: []
license: mit
datasets:
  - McAuley-Lab/Amazon-Reviews-2023
language:
  - en
library_name: transformers

gpt2-amazon-sentiment-classifier-V1.0

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0320
• Accuracy: 0.9680
• F1: 0.9680

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-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: 2

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2