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kant-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:
- Loss: 1.8022
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3257 | 1.0 | 1825 | 3.2231 |
| 2.9885 | 2.0 | 3650 | 3.0069 |
| 2.7955 | 3.0 | 5475 | 2.8440 |
| 2.5748 | 4.0 | 7300 | 2.7059 |
| 2.3545 | 5.0 | 9125 | 2.5806 |
| 2.1759 | 6.0 | 10950 | 2.4618 |
| 1.9697 | 7.0 | 12775 | 2.3553 |
| 1.7778 | 8.0 | 14600 | 2.2517 |
| 1.6192 | 9.0 | 16425 | 2.1599 |
| 1.4675 | 10.0 | 18250 | 2.0895 |
| 1.3195 | 11.0 | 20075 | 2.0138 |
| 1.2012 | 12.0 | 21900 | 1.9602 |
| 1.0828 | 13.0 | 23725 | 1.9097 |
| 0.9926 | 14.0 | 25550 | 1.8720 |
| 0.9076 | 15.0 | 27375 | 1.8426 |
| 0.8336 | 16.0 | 29200 | 1.8214 |
| 0.7649 | 17.0 | 31025 | 1.8058 |
| 0.7208 | 18.0 | 32850 | 1.7980 |
| 0.6798 | 19.0 | 34675 | 1.7938 |
| 0.647 | 20.0 | 36500 | 1.7969 |
| 0.6226 | 21.0 | 38325 | 1.7975 |
| 0.601 | 22.0 | 40150 | 1.8022 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Tokenizers 0.12.1
