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gpt-ya2-v2

This model is a fine-tuned version of gpt2 on the kpriyanshu256/the_verge-linustechtips-two_min dataset. It achieves the following results on the evaluation set:

  • Loss: 3.1519
  • Accuracy: 0.3691

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: 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: 5.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train kpriyanshu256/gpt-ya2-v2

Evaluation results

  • Accuracy on kpriyanshu256/the_verge-linustechtips-two_min
    self-reported
    0.369