gpt2-simpsons / README.md
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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: gpt2-simpsons
    results: []

gpt2-simpsons

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

  • Loss: 3.3643

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 6877
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
3.319 1.0 860 3.4223
3.1458 2.0 1720 3.3075
3.0161 3.0 2580 3.2596
2.9279 4.0 3440 3.2313
2.8508 5.0 4300 3.2176
2.7454 6.0 5160 3.2237
2.6928 7.0 6020 3.2381
2.5962 8.0 6880 3.2617
2.4645 9.0 7740 3.3105
2.3415 10.0 8600 3.3643

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Tokenizers 0.13.2