Doesn't write scalars for two models of the same framework

[dev-rinchin]

let’s add second catboost model training to catboost_example.py:

...
    catboost_model = CatBoostRegressor(iterations=iterations, verbose=False)
    catboost_model2 = CatBoostRegressor(iterations=iterations+200, verbose=False)
...
    catboost_model.fit(train_pool, eval_set=test_pool, verbose=True, plot=False, save_snapshot=True)
    catboost_model2.fit(train_pool, eval_set=test_pool, verbose=True, plot=False, save_snapshot=True)
...

as result, "scalars" tab in CML web shows just one learn and one validation plots, I was supposed to get two. It looks like the first plot was overwritten by the second one.

To reproduce

run multiple models training of any supported framework

Expected behaviour

plots for both models

Environment

• Server type: self hosted
• ClearML SDK Version: 1.6.4
• ClearML Server Version: WebApp: 1.6.0-213 • Server: 1.6.0-213 • API: 2.20
• Python Version: 3.7
• OS: Linux

Related Discussion

(https://clearml.slack.com/archives/CTK20V944/p1661358596687939)