Edit model card

gpt2-finetuned-wikitext2

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

  • Loss: 3.6777

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: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: IPU
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • total_eval_batch_size: 20
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
  • training precision: Mixed Precision

Training results

Training Loss Epoch Step Validation Loss
4.1203 1.0 145 3.7695
3.9141 2.0 290 3.6953
3.9057 3.0 435 3.6777

Framework versions

  • Transformers 4.20.0
  • Pytorch 1.10.0+cpu
  • Datasets 2.4.0
  • Tokenizers 0.12.1
Downloads last month
10