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efficient-moe-agent-project/webshop
webshop is a machine learning model from efficient-moe-agent-project. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository contains the formal WebShop training checkpoints produced after the environment sampler-state restoration fix. Its layout mirrors the local results/webshop/training contract:
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Updated Aug 27, 2026
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From the Hugging Face model README
This repository contains the formal WebShop training checkpoints produced after the
environment sampler-state restoration fix. Its layout mirrors the local
results/webshop/training contract:
training/<experiment>/checkpoints/{global_step_100,global_step_200,global_step_300,best_val}/
Only pruning-ready artifacts are published: LoRA adapters and, for the two-expert
run, sanitized router states. FSDP model/optimizer shards, rollout data, sampler
snapshots, logs, TensorBoard files, comparison outputs, and all pruning/ results
are intentionally excluded. The upstream dense model is
Qwen/Qwen2.5-1.5B-Instruct.
The two formal experiments are:
webshop_single_expert_qwen2_5_1_5_step_300_seed0webshop_2expert_double_task_batch_qwen2_5_1_5_step_300_seed0See each experiment's manifest.json and README.md for checkpoint provenance and
evaluation notes.