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metadata
license: mit
tags:
  - summarization
  - generated_from_trainer
model-index:
  - name: gpt2-finetuned-cnn-summarization-v1
    results: []

gpt2-finetuned-cnn-summarization-v1

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

  • Loss: 2.1709

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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
2.2025 1.0 5742 2.1636
2.0428 2.0 11484 2.1659
1.9681 3.0 17226 2.1709

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1
  • Tokenizers 0.13.2