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howanching-clara/
all_abstracts_multi-qa-MiniLM-L6-cos-v1_final

Name: all_abstracts_multi-qa-MiniLM-L6-cos-v1_final
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all_abstracts_multi-qa-MiniLM-L6-cos-v1

This model is a fine-tuned version of sentence-transformers/multi-qa-MiniLM-L6-cos-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	Precision	Recall	F1
2.466	1.0	660	2.0039	0.3212	0.3212	0.3212	0.3212
2.0309	2.0	1320	1.8715	0.4061	0.4061	0.4061	0.4061
1.9092	3.0	1980	1.7737	0.4288	0.4288	0.4288	0.4288
1.6374	4.0	2640	1.7987	0.4606	0.4606	0.4606	0.4606
1.5152	5.0	3300	1.8548	0.4606	0.4606	0.4606	0.4606
1.4285	6.0	3960	1.8773	0.4712	0.4712	0.4712	0.4712
1.1618	7.0	4620	1.9726	0.4545	0.4545	0.4545	0.4545
1.104	8.0	5280	2.0739	0.4652	0.4652	0.4652	0.4652
1.025	9.0	5940	2.2104	0.4545	0.4545	0.4545	0.4545
0.9051	10.0	6600	2.2647	0.4545	0.4545	0.4545	0.4545
0.8191	11.0	7260	2.3455	0.4576	0.4576	0.4576	0.4576
0.8319	12.0	7920	2.4673	0.4652	0.4652	0.4652	0.4652
0.7634	13.0	8580	2.4986	0.4621	0.4621	0.4621	0.4621
0.7199	14.0	9240	2.5761	0.4636	0.4636	0.4636	0.4636
0.737	15.0	9900	2.5678	0.4621	0.4621	0.4621	0.4621