README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
widget:
  - text: >-
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      exceptional, and they stay securely in my ears during workouts. Plus, the
      charging case is so convenient for on-the-go use.
  - text: >-
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      the programmable features allow me to wake up to the aroma of freshly
      brewed coffee. Plus, the sleek design looks great on my countertop.
  - text: >-
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      fits my 15-inch laptop, charger, and other essentials without feeling
      bulky. The USB charging port is a lifesaver for staying connected on the
      move.
  - text: >-
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      sharp blade effortlessly cuts through vegetables, meats, and herbs, making
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      The intuitive app allows me to adjust settings remotely, and the
      energy-saving features have noticeably reduced my utility bills.
      Installation was also a breeze thanks to clear instructions.
model-index:
  - name: gpt2-amazon-sentiment-classifier
    results: []
license: mit
datasets:
  - McAuley-Lab/Amazon-Reviews-2023
language:
  - en
library_name: transformers

gpt2-amazon-sentiment-classifier

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

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: 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