ModelHub XC 6baae57453 初始化项目,由ModelHub XC社区提供模型
Model: namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_secretary
Source: Original Platform
2026-07-17 13:01:46 +08:00

base_model, license, library_name, pipeline_tag, language, tags
base_model license library_name pipeline_tag language tags
Qwen/Qwen3-8B apache-2.0 transformers text-generation
en
qwen3
meta-rl
in-context-learning
grpo

LatentGym_Qwen3-8B_1episode_4Envs_LOO_secretary

GRPO-fine-tuned Qwen3-8B for in-context meta-learning held-out-secretary (3 train envs, N=1). Part of the LatentGym testbed.

Environments & training latents

Env Latents seen during training
hangman vowel_count_4, ending_ABLE
wordladder hub_word_3letter, hub_word_4letter, order_outside_in
number_guessing set_of_3, range_100

Training hyperparameters

Base model Qwen/Qwen3-8B
Algorithm GRPO
Optimizer AdamW (β₁=0.9, β₂=0.999)
Learning rate 5e-07
LR schedule constant_with_warmup
Weight decay 0.01
Max grad norm 1.0
KL coefficient β 0.04
Clip range ε 0.2
Train batch (prompts) 32
Mini-batch 1
Rollouts per prompt 8
Episodes per trajectory (N) 1
Reward Φ Σᵢ Gᵢ (cumulative)
Epochs 20
Max generation length 64
Sampling (train) T=0.8, top-p=0.95
Seed 263
Description
Model synced from source: namkoong-lab/LatentGym_Qwen3-8B_1episode_4Envs_LOO_secretary
Readme 13 MiB
Languages
Jinja 100%