results_fold_1

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7754

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: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
8.1852 0.2294 100 7.9486
7.07 0.4587 200 6.9019
5.6448 0.6881 300 5.0682
3.7492 0.9174 400 3.2875
3.0419 1.1468 500 2.9251
2.9063 1.3761 600 2.8392
2.8772 1.6055 700 2.7966
2.9046 1.8349 800 2.7754

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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