Total Training Time Estimate | Generated by AI
Let’s compute your total training time clearly and compactly.
Given
- Your iteration time stabilizes near ~3.9 seconds per iteration (from iter 100–200).
- Total iterations = 6000.
- You already finished ≈ 200 iterations (not important since you asked “totally”).
We’ll estimate using the steady-state time, not the slow first iteration.
Step-by-step (simple)
Time per iteration: ≈ 3.9 seconds
Total time: 6000 × 3.9 s = 23,400 seconds
Convert:
- /60 ≈ 390 minutes
- /60 ≈ 6.5 hours
Final estimate
≈ 6.5 hours of total training time
(on your RTX 4070 with this NanoGPT 125M config)
If your iteration time improves slightly as PyTorch compile warms up, final time may fall to 6.0 hr. If GPU is slightly busier or dataset slowdowns appear, expect 6.5–7 hr.
If you want, I can also compute ETA for other configs (256M, 350M, 1.3B, longer context, different GPU, etc.).