Model Builder Error: Training time finished without any models trained.

**System Information:**
- Microsoft.ML Version: 3.0.1
- Microsoft Visual Studio Professional 2022 (64-bit) - Current Version 17.1.0

**Describe the bug**
- I ran into the issue on the following page: https://dotnet.microsoft.com/en-us/learn/ml-dotnet/get-started-tutorial/train
- When I try to train based on the provided materials I get the following error message:

Model Builder Error
Training time finished without any models trained.

at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.d__15.MoveNext() in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 170
--- End of stack trace from previous location where exception was thrown ---
at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
at Microsoft.ML.ModelBuilder.AutoMLEngine.d__21.MoveNext() in //src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 167 at StreamJsonRpc.JsonRpc.d__143`1.MoveNext()
--- End of stack trace from previous location where exception was thrown ---
at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
at Microsoft.ML.ModelBuilder.ViewModels.TrainViewModel.d.MoveNext()

**To Reproduce**
Steps to reproduce the behavior:
1. Go to the Train Tab
2. Specify the number of seconds: 60
3. Click on the button Train
4. See error


(Tried to run the same model with longer time - 300sec, same error)

Inizia riproducendo il flusso di training del tutorial ML.NET collegato con un’esecuzione di 60 secondi, quindi esamina LocalAutoMLExperiment.cs alla riga 170 e AutoMLEngine.cs alla riga 167, che compaiono nello stack trace. Confronta l’esecuzione con il risultato segnalato dopo 300 secondi e determina perché il training viene completato senza produrre un modello; il lavoro è completato quando il dataset del tutorial viene addestrato correttamente senza questo errore.

Scritto dal modello di indicizzazione a partire dal testo della issue.