Bundestag-gpt2-large

This model is a fine-tuned version of benjamin/gerpt2-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.8236

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: 2
• eval_batch_size: 2
• 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss
2.7899	1.0	32852	2.6879
2.4421	2.0	65704	2.6749
2.206	3.0	98556	2.7354
1.9544	4.0	131408	2.8236

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2