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theunmans/
dist-multi

Name: dist-multi
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dist-multi

This model is a fine-tuned version of sentence-transformers/distiluse-base-multilingual-cased-v1 on the None 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	Accuracy	F1
0.5809	1.0	53	0.8387	0.7429	0.7459
0.561	2.0	106	0.8021	0.75	0.7570
0.4435	3.0	159	0.7750	0.7643	0.7710
0.3245	4.0	212	0.7490	0.75	0.7607
0.368	5.0	265	0.8127	0.75	0.7548
0.1861	6.0	318	0.8736	0.7429	0.7514
0.2235	7.0	371	0.9631	0.7429	0.7502