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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: gpt2-finetuned-yannic-test
    results: []

gpt2-finetuned-yannic-test

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3803

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

Training results

Training Loss Epoch Step Validation Loss
3.5406 1.0 503 3.4633
3.4091 2.0 1006 3.4278
3.3505 3.0 1509 3.4075
3.3088 4.0 2012 3.3954
3.281 5.0 2515 3.3892
3.2616 6.0 3018 3.3846
3.2434 7.0 3521 3.3815
3.2357 8.0 4024 3.3803

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.0
  • Tokenizers 0.13.2