* log best.pt metrics at train end * update * Update __init__.py * flush callbacks when using evolve Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>modifyDataloader
@@ -612,7 +612,7 @@ def main(opt, callbacks=Callbacks()): | |||
# Train mutation | |||
results = train(hyp.copy(), opt, device, callbacks) | |||
callbacks = Callbacks() | |||
# Write mutation results | |||
print_mutation(results, hyp.copy(), save_dir, opt.bucket) | |||
@@ -159,10 +159,7 @@ class Loggers(): | |||
wandb.log_artifact(str(best if best.exists() else last), type='model', | |||
name='run_' + self.wandb.wandb_run.id + '_model', | |||
aliases=['latest', 'best', 'stripped']) | |||
self.wandb.finish_run() | |||
else: | |||
self.wandb.finish_run() | |||
self.wandb = WandbLogger(self.opt) | |||
self.wandb.finish_run() | |||
def on_params_update(self, params): | |||
# Update hyperparams or configs of the experiment |