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sianbrumm/
brick_globus_classificator_results

Name: brick_globus_classificator_results
Availability: InStock

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brick_globus_classificator_results

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

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
5.1854	1.0	1092	4.6077	0.2554	0.2554	0.2554	0.2554
4.2591	2.0	2184	3.5261	0.4344	0.4344	0.4344	0.4344
3.4466	3.0	3276	2.6775	0.5464	0.5464	0.5464	0.5464
2.7402	4.0	4368	2.0666	0.6087	0.6087	0.6087	0.6087
2.2263	5.0	5460	1.5833	0.6608	0.6608	0.6608	0.6608
1.6505	6.0	6552	1.2304	0.7085	0.7085	0.7085	0.7085
1.3537	7.0	7644	0.9914	0.7426	0.7426	0.7426	0.7426
1.0618	8.0	8736	0.8032	0.7714	0.7714	0.7714	0.7714
0.9101	9.0	9828	0.6798	0.7826	0.7826	0.7826	0.7826
0.7708	10.0	10920	0.5947	0.8006	0.8006	0.8006	0.8006
0.6507	11.0	12012	0.5468	0.8152	0.8152	0.8152	0.8152
0.5995	12.0	13104	0.5291	0.8181	0.8181	0.8181	0.8181