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gpt2-ft-with-non-challenging

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

  • Loss: 3.9906

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: 0.0005
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100.0
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 1 4.0984
No log 2.0 2 4.0802
No log 3.0 3 4.0443
No log 4.0 4 3.9906

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.11.0
  • Datasets 1.18.4
  • Tokenizers 0.11.6
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