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ukraine-clm
This model is a fine-tuned version of dbmdz/german-gpt2 on the ukraine-liveblog dataset. It achieves the following results on the evaluation set:
- Loss: 2.7638
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7968 | 1.0 | 2109 | 2.8014 |
| 2.6909 | 2.0 | 4218 | 2.7699 |
| 2.643 | 3.0 | 6327 | 2.7638 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
