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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ukraine-clm
results: []
language:
- de
widget:
- text: Selenskyj fordert sicheren Korridor für Getreidelieferungen
example_title: Example 1
- text: Italien bestellt russischen Botschafter ein
example_title: Example 2
- text: Lage in Sjewjerodonezk für Ukraine verschlechtert
example_title: Example 3
datasets:
- pstuerner/ukraine-liveblog
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ukraine-clm
This model is a fine-tuned version of [dbmdz/german-gpt2](https://huggingface.co/dbmdz/german-gpt2) on the [ukraine-liveblog](https://huggingface.co/datasets/pstuerner/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 |