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Hi! I wonder if you could provide the weight checkpoints of the pretrained models, because I need them for comparison.
I tried to train the pretrained model from scratch on the LINCS data, but I found some missing hyperparameters in the config file for the first experiment. Even though the training was successful when I fixed the previous problem, the training stopped after several epochs with a NaN error during the full evaluation.
Besides, I noticed that you specify model.pretrained_model_hashes in the following config files, like this one in config_sciplex_finetuning_hparam.yaml:
model.pretrained_model_hashes: # seml config_hashes for the pretrained models for each embedding. Used for loading model checkpoints. Hashes taken from `analyze_lincs_all_embeddings_hparam.ipynb`
grover_base: ff420aea264fca7668ecb147f60762a1
MPNN: ff9629a1b216372be8b205556cabc6fb
rdkit: 4f061dbfc7af05cf84f06a724b0c8563
But I couldn’t find the corresponding model checkpoints.
It would be greatly appreciated and convenient if you could provide them!
The text was updated successfully, but these errors were encountered:
Hi! I wonder if you could provide the weight checkpoints of the pretrained models, because I need them for comparison.
I tried to train the pretrained model from scratch on the LINCS data, but I found some missing hyperparameters in the config file for the first experiment. Even though the training was successful when I fixed the previous problem, the training stopped after several epochs with a NaN error during the full evaluation.
Besides, I noticed that you specify model.pretrained_model_hashes in the following config files, like this one in
config_sciplex_finetuning_hparam.yaml
:But I couldn’t find the corresponding model checkpoints.
It would be greatly appreciated and convenient if you could provide them!
The text was updated successfully, but these errors were encountered: