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Performing transfer learning using the alphadia FinetuneManager fails for MS2 with zero PCC already on the forward pass.
I think this might be related to peptdeep expecting a different library order.
2024-12-14 09:47:46> Model tested on validation dataset with the following metrics:
2024-12-14 09:47:46> l1_loss : 0.0353
2024-12-14 09:47:46> PCC-mean : 0.0000
2024-12-14 09:47:46> COS-mean : 0.0000
2024-12-14 09:47:46> SA-mean : 0.0000
2024-12-14 09:47:46> SPC-mean : 0.2157
2024-12-14 09:47:46> Fine-tuning MS2 model with the following settings:
2024-12-14 09:47:46> Train fraction: 0.70 Train size: 65216
2024-12-14 09:47:46> Validation fraction: 0.20 Validation size: 18633
2024-12-14 09:47:46> Test fraction: 0.10 Test size: 9317
2024-12-14 09:48:25> Epoch 0 Lr: 0.00020 Training loss: 0.0243 validation loss: 0.0353
2024-12-14 09:48:59> Epoch 3 Lr: 0.00050 Training loss: 0.0219 validation loss: 0.0353
2024-12-14 09:49:38> Epoch 6 Lr: 0.00060 Training loss: 0.0227 validation loss: 0.0353
2024-12-14 09:50:17> Epoch 9 Lr: 0.00030 Training loss: 0.0226 validation loss: 0.0353
Description
Performing transfer learning using the alphadia
FinetuneManager
fails for MS2 with zero PCC already on the forward pass.I think this might be related to peptdeep expecting a different library order.
Steps to reproduce
I've uploaded some validated test data here:
https://datashare.biochem.mpg.de/s/4mdf5PMHsjLXGZe
Using the finetuning notebook and the current dev version of the alphax packages should reproduce the behaviour.
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