ProjectX Economic Brain โ€” Phase 1 (SFT)

Supervised fine-tuning of Qwen/Qwen2.5-7B-Instruct on financial domain data.

Training Details

  • Method: LoRA (r=16, alpha=32)
  • Dataset: gbharti/finance-alpaca
  • Epochs: 2
  • Learning rate: 2e-4 (cosine)
  • Format: ChatML

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
model = PeftModel.from_pretrained(base, "automationkasey/projectx-economic-brain-sft")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
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