bert-base-german-cased-noisy-pretrain-fine-tuned

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

• Loss: 0.2925
• Precision: 0.7933
• Recall: 0.7457
• F1: 0.7688
• Accuracy: 0.9147

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	33	0.3093	0.7456	0.6029	0.6667	0.8808
No log	2.0	66	0.2587	0.7774	0.7286	0.7522	0.9078
No log	3.0	99	0.2529	0.7775	0.7686	0.7730	0.9136
No log	4.0	132	0.2598	0.8063	0.7257	0.7639	0.9147
No log	5.0	165	0.2783	0.7927	0.7429	0.7670	0.9159
No log	6.0	198	0.2899	0.8019	0.74	0.7697	0.9165
No log	7.0	231	0.2925	0.7933	0.7457	0.7688	0.9147

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.1
• Tokenizers 0.12.1