Discussions

I'm experiencing timeouts when setting fine_tune_steps >= 370 during model training with the following configuration:

• Dataset Size: 17k rows
• Model: timegpt-1-long-horizon
• Key Parameters:
  • fine_tune_steps=400
  • clean_ex_first=False
  • id_col="id"
  • add_history=False
  • df=df_exog1
  • h=48
  • target_col='--------'
  • time_col="DateTime_x"
  • freq="min"

Despite having sufficient resources in Google Colab, the process times out consistently when fine_tune_steps is set to 370 or higher.

What could be causing these timeouts, and is there a recommended solution? Are there any subscription plans or higher-performance APIs available that can handle more extensive fine-tuning without these issues?