Jürgen R. Plasser / ThetaPhiPsi

Results 6 comments of Jürgen R. Plasser / ThetaPhiPsi

Hi all, thank for providing the embeddings for the BioSentVec model 21GB (700dim, trained on PubMed+MIMIC-III). Awesome work that helped me a lot! I have the same request as the...

Any news for clinical notes?

I just tried and have the same results: > best threshold: 0, best threshold ratio: 0.0 > TP: 7643, TN: 549806, FP: 3562, FN: 3004 > Precision: 68.21%, Recall: 71.79%,...

I removed `n=4855` from the described code line in the previous comment and now I have a lot more training data available. I‘ll post about the results again.

Here are my results after applying the above changes: > best threshold: 0, best threshold ratio: 0.0 > TP: 6996, TN: 390662, FP: 95, FN: 3651 > Precision: 98.66%, Recall:...

One more, after finishing training with a batch size of 512 with HDFS, val loss=0.183, train loss=0.178, 135 epochs, takes about 35 minutes on a RTX 3090. > best threshold:...