This model is a fine-tuned version of google-bert/bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6649
F1: 0.6600

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: 4.47e-05
train_batch_size: 16
eval_batch_size: 32
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	F1
No log	1.0	325	0.4626	0.5807
0.4286	2.0	650	0.4931	0.6372
0.4286	3.0	975	0.6649	0.6600

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

DiederikMartens/gBERT_sa_cv_9_fold2

gBERT_sa_cv_9_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

DiederikMartens/
gBERT_sa_cv_9_fold2