german-poetry-gpt2

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

• eval_loss: 3.8196
• eval_runtime: 43.8543
• eval_samples_per_second: 86.993
• eval_steps_per_second: 5.45
• epoch: 9.0
• step: 11520

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 22

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Tokenizers 0.12.1