Dumb-1.2 / Training.md
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# 1. Training data
**First Pre Training:**
HuggingFaceFW/fineweb-edu
HuggingFaceTB/cosmopedia-v2
**Next Pre Training:**
HuggingFaceFW/fineweb-edu
HuggingFaceTB/cosmopedia-v2
AI-MO/NuminaMath-CoT
flytech/python-codes-25k
Magpie-Align/Magpie-Pro-300K-Filtered
camel-ai/physics
camel-ai/chemistry
camel-ai/math
nvidia/OpenMathInstruct-2
bespokelabs/Bespoke-Stratos-17k
# 2. Training tokens
First: ~970M
- HuggingFaceFW/fineweb-edu:61%
- HuggingFaceTB/cosmopedia-v2:39%
- Approx Loss: **3.66**
Next: ~101M
- HuggingFaceFW/fineweb-edu, HuggingFaceTB/cosmopedia-v2: 25%
- AI-MO/NuminaMath-CoT: 8%
- camel-ai/... : 25%
- nvidia/OpenMathInstruct-2: 20%
- bespokelabs/Bespoke-Stratos-17k: 12%
- Approx Loss: **2.86**
# 3. Training GPUs
- Colab T4 (paid tier): 97%
- First: 90.3%
- Next: 6.7%
- RTX 4060 x1: 3%
- First: 0%
- Next: 3%
# 4. Benchmark Leaks
- ARC Series(Easy, Challenge, AGI): ✅no leak
- MMLU: -
- GPQA: ✅no leak
- BLiMP: ✅no leak
- Wikitext-2 PPL: not leak?
- HellaSwwag: ✅no leak
- FineWeb PPL: ❌Leaked (dataset)
# 5. Training config
First:
- learning rate: 1e-3 ~ 5e-4
- batch: 16(T4) / 16(4060)
- ctx: 512 / 1024
Next:
- learning rate: 2e-4 ~ 8e-5
- batch: 16(T4)
- ctx: 512
That's all.