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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1467
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: 8
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.6511 | 1.0 | 20592 | 3.6164 |
3.2974 | 2.0 | 41184 | 3.5282 |
2.9307 | 3.0 | 61776 | 3.5443 |
2.6412 | 4.0 | 82368 | 3.6337 |
2.275 | 5.0 | 102960 | 3.7956 |
2.0971 | 6.0 | 123552 | 3.8927 |
1.8885 | 7.0 | 144144 | 4.0685 |
1.775 | 8.0 | 164736 | 4.1467 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Tokenizers 0.12.1