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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: distilgpt2-finetuned-wikitext2-agu
    results: []

distilgpt2-finetuned-wikitext2-agu

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5116

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
3.7357 1.0 13655 3.6781
3.5721 2.0 27310 3.5302

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.9.0+cu111
  • Datasets 2.4.0
  • Tokenizers 0.12.1