Germeval24StageTask2 – AI Model by Wiebke | AlphaNeural AI

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Wiebke/
Germeval24StageTask2

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token-classification

generated_from_trainer

google-bert/bert-base-german-cased

autotrain_compatible

endpoints_compatible

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Germeval24StageTask2

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

Loss: 0.4272
Precision: 1.0
Recall: 1.0
F1: 1.0
Accuracy: 0.8575

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	150	0.4852	1.0	1.0	1.0	0.8099
No log	2.0	300	0.4305	1.0	1.0	1.0	0.8499
No log	3.0	450	0.4272	1.0	1.0	1.0	0.8575
0.4985	4.0	600	0.4776	1.0	1.0	1.0	0.8510
0.4985	5.0	750	0.5090	1.0	1.0	1.0	0.8629
0.4985	6.0	900	0.5940	1.0	1.0	1.0	0.8521
0.1257	7.0	1050	0.5592	1.0	1.0	1.0	0.8618
0.1257	8.0	1200	0.6132	1.0	1.0	1.0	0.8521
0.1257	9.0	1350	0.6580	1.0	1.0	1.0	0.8639
0.0448	10.0	1500	0.6727	1.0	1.0	1.0	0.8629

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1