metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: german-poetry-gpt2-large
results: []
german-poetry-gpt2-large
This model is a fine-tuned version of benjamin/gerpt2-large on the None dataset. 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
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: 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