Jericko De Guzman

Hi. Thanks for replying to my question. I tried adding a value for the _--epochs_ parameter and set it to 20 resulting to this command: `python train.py --model fasterrcnn_resnet50_fpn_v2 --weights...

Hi. Thank you for your response. By _model_logs_, do you mean the _train.log_ file? If yes, it did not have any contents (0 KB file size). I am currently guessing...

> Yes, that may be the reason it is blank. With that said, should I omit the `--name custom_training` to my resume training command so it stops overwriting the _train.logs_...

> Also, please check that the `--imgsz` is 320 during training. They should be the same during training and evaluation. Otherwise, the numbers will be different. > > I will...

> Yes, you can give a different name. It will resume training but the resulting directory will be different. You will separate logs for both the training for later analysis....

Okay, noted. I will try to train again with stop and resume then observe and provide an update about the outcome, especially for the consistency of mAP output from wandb...

Hi. I would like to provide an update regarding my observation. I tried training the model for 4 epochs. I stopped the training during the 3rd epoch (2 if zero-indexed)...

Okay, noted. I would like to keep this issue open until it is resolved and please keep me posted on this thread as well. I would like to try training...

Hi. Thanks for the update. May I if the `--square-training` is recommended to have for the `eval.py` command? May I also ask for your initial training command, how you stopped...

May I also take a look at the `custom_data.yaml` you configured and used?