Item	Details
Base checkpoint	`google/gemma-3-270m-it`
Fine-tune method	LoRA (PEFT) with Unsloth
Training run	1 epoch • 325,528 blended examples • 100 steps
Trainable params	30.4 M / 298 M (10.18 %)
Loss	4.11 → 2.74
Hardware	2 × T4-16GB (Collab Free Tier)
License	Apache-2.0
Intended use	Educational & research

Datasets

Dataset	Size	Focus
`gbharti/finance-alpaca`	52 k	Instruction Q-A on corporate finance & investing
`Balaji173/finance_news_sentiment`	217 k	Bullish/bearish labels for news headlines
`winddude/reddit_finance_43_250k`	250 k	Reddit finance post–comment pairs
`causal-lm/finance`	31 k	Analytical prompts & causal reasoning in economics/markets

All shards were concatenated and wrapped with the Gemma chat template before training.

Responsible use

Disclose AI assistance, double-check outputs, and do not rely on this model for trading decisions. The author and base-model creators accept no liability for financial losses.

prxshetty/gemma-3-finance-mix

Gemma-3 Finance Mix

Overview

Datasets

Responsible use

prxshetty/
gemma-3-finance-mix