Epoch 600/600
20/20 [==============================] - ETA: 0s - loss: 179.8598 - euclidean_distance_3D: 11.5716WARNING:tensorflow:Can save best model only with val_loss available, skipping.
Saving predictions on train and validation data, after epoch 599
20/20 [==============================] - 20s 998ms/step - loss: 179.8598 - euclidean_distance_3D: 11.5716
Renaming weights file with best epoch description
Traceback (most recent call last):
File "/home/xuchun/.conda/envs/dannce/bin/dannce-train", line 33, in
sys.exit(load_entry_point('dannce', 'console_scripts', 'dannce-train')())
File "/home/xuchun/dannce/dannce/cli.py", line 66, in dannce_train_cli
dannce_train(params)
File "/home/xuchun/dannce/dannce/interface.py", line 1249, in dannce_train
processing.rename_weights(dannce_train_dir, kkey, mon)
File "/home/xuchun/dannce/dannce/engine/processing.py", line 485, in rename_weights
q = r[mon]
ValueError: no field of name val_loss
When I finished training 3cam AVG net of dannce, this happened.
How can I solve it?
When I finished training 3cam AVG net of dannce, this happened. How can I solve it?