german-poetry-gpt2-large

This model is a fine-tuned version of benjamin/gerpt2-large on German poems. It achieves the following results on the evaluation set:

• eval_loss: 3.5753
• eval_runtime: 100.7173
• eval_samples_per_second: 51.6
• eval_steps_per_second: 25.805
• epoch: 4.0
• step: 95544

Model description

large version of gpt-2

Intended uses & limitations

It could be used for poetry generation

Training and evaluation data

The model was trained on german poems from projekt Gutenberg

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• 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: 6

Framework versions

• Transformers 4.19.4
• Pytorch 1.11.0+cu113
• Datasets 2.3.0
• Tokenizers 0.12.1