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