license, library_name, pipeline_tag, tags, base_model

license	library_name	pipeline_tag	tags	base_model
apache-2.0	transformers	text-generation	qwen3 reinforcement-learning grpo text-generation text-generation-inference	Qwen/Qwen3-4B

Qwen3-4B-Chemical-GRPO-TR

This repository contains the Qwen3-4B Chemical GRPO batch-size-32 run. The repository name uses the requested GRPO-TR suffix, but the actual training method for this checkpoint is GRPO.

The repository root contains the best validation checkpoint (global_step_100), selected by validation mean@16. checkpoints/last/ contains the final checkpoint. For this run, best and final are the same checkpoint.

Performance

Dataset	Method	Base model	Train batch size	Best val mean@16	Best checkpoint	Final val mean@16	Final checkpoint
Chemical	GRPO	Qwen3-4B	32	68.81%	100	68.81%	100

Raw result files:

• results/validation_mean16.csv
• results/training_scores.csv
• artifacts/config.yaml
• artifacts/wandb-summary.json
• artifacts/wandb-metadata.json
• artifacts/output.log

Validation Mean@16

step	val_mean16
10	0.439880952381
20	0.505952380952
30	0.552678571429
40	0.590476190476
50	0.631845238095
60	0.648214285714
70	0.655952380952
80	0.665773809524
90	0.678869047619
100	0.688095238095

Training Hyperparameters

Hyperparameter	Value
Base model	Qwen/Qwen3-4B
Method	GRPO
Train batch size	32
Train max samples	3200
Total training steps	100
Save frequency	10
Test frequency	10
Rollout samples per prompt	8
Validation samples per prompt	16
Learning rate	1e-6
vLLM GPU memory utilization	0.8
Parsed train score rows	100

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

repo_id = "SeongryongJung/Qwen3-4B-Chemical-GRPO-TR"
tokenizer = AutoTokenizer.from_pretrained(repo_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    repo_id,
    torch_dtype="auto",
    device_map="auto",
    trust_remote_code=True,
)

Source

• Checkpoint: checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-GRPO-Qwen-Qwen3-4B-mbs8-train32-rollout8-lr1e-6-vllm0.8
• W&B run: run-20260702_050732-0ozhfamy
• Full queue log: artifacts/queue.log