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[2024-05-06 18:52:40] WARNING - checkpoint_utils.py - :warning: The pre-trained models provided by SuperGradients may have their own licenses or terms and conditions derived from the dataset used for pre-training.
It is your responsibility to determine whether you have permission to use the models for your use case.
The model you have requested was pre-trained on the coco dataset, published under the following terms: https://cocodataset.org/#termsofuse
[2024-05-06 18:52:40] INFO - checkpoint_utils.py - License Notification: YOLO-NAS pre-trained weights are subjected to the specific license terms and conditions detailed in
https://github.com/Deci-AI/super-gradients/blob/master/LICENSE.YOLONAS.md
By downloading the pre-trained weight files you agree to comply with these terms.
[2024-05-06 18:52:40] INFO - checkpoint_utils.py - Successfully loaded pretrained weights for architecture yolo_nas_m
[2024-05-06 18:52:41] INFO - sg_trainer.py - Starting a new run with `run_id=RUN_20240506_185241_833056`
[2024-05-06 18:52:41] INFO - sg_trainer.py - Checkpoints directory: experiments[/optimized_df_params_val5/RUN_20240506_185241_833056](http://localhost:8893/optimized_df_params_val5/RUN_20240506_185241_833056)
The console stream is now moved to experiments/optimized_df_params_val5/RUN_20240506_185241_833056/console_May06_18_52_41.txt
with this params
"sg_logger_params": # Params that will be passes to __init__ of the logger super_gradients.common.sg_loggers.wandb_sg_logger.WandBSGLogger
{
"project_name": "yolo_nas_dentalfeats_aaa", # W&B project name
"save_checkpoints_remote": True,
"save_tensorboard_remote": True,
"save_logs_remote": True
},
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馃挕 Your Question
Logs. WANDB not showing
with this params
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No response
The text was updated successfully, but these errors were encountered: