|
--- |
|
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 |
