bert-base-german-cased

This model is a fine-tuned version of bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4587
• Accuracy: 0.9086
• F1: 0.9087

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4862	1.0	1156	0.3504	0.8959	0.8956
0.3037	2.0	2312	0.3894	0.9134	0.9137
0.2643	3.0	3468	0.4587	0.9086	0.9087

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.1
• Datasets 2.19.1
• Tokenizers 0.19.1