LightningRodLabs
/

Golf-Forecaster

Text Generation

reinforcement-learning

mixture-of-experts

future-as-label

Eval Results (legacy)

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Bturtel commited on Feb 14

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 # Golf-Forecaster
-**LoRA adapter** for [gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b), RL-tuned to predict professional golf outcomes across PGA Tour, LIV Golf, LPGA, DP World Tour, majors, and the Ryder Cup. Trained on 3,178 binary forecasting questions from [GolfForecasting](https://huggingface.co/datasets/LightningRodLabs/GolfForecasting) using the [Lightning Rod SDK](https://github.com/lightning-rod-labs/lightningrod-python-sdk). Beats GPT-5.
 [Dataset](https://huggingface.co/datasets/LightningRodLabs/GolfForecasting) · [Lightning Rod SDK](https://github.com/lightning-rod-labs/lightningrod-python-sdk) · [Future-as-Label paper](https://arxiv.org/abs/2601.06336) · [Outcome-based RL paper](https://arxiv.org/abs/2505.17989)

 # Golf-Forecaster
+**LoRA adapter** for [gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b), RL-tuned to predict professional golf outcomes — tournament winners, cuts, matchups, majors, team events, season races, world rankings, and player milestones across every major tour. Trained on 3,178 binary forecasting questions from [GolfForecasting](https://huggingface.co/datasets/LightningRodLabs/GolfForecasting) using the [Lightning Rod SDK](https://github.com/lightning-rod-labs/lightningrod-python-sdk). Beats GPT-5.
 [Dataset](https://huggingface.co/datasets/LightningRodLabs/GolfForecasting) · [Lightning Rod SDK](https://github.com/lightning-rod-labs/lightningrod-python-sdk) · [Future-as-Label paper](https://arxiv.org/abs/2601.06336) · [Outcome-based RL paper](https://arxiv.org/abs/2505.17989)