Model: SeongryongJung/Qwen3-4B-Tooluse-RLSD-TR Source: Original Platform
license, library_name, pipeline_tag, tags, base_model
| license | library_name | pipeline_tag | tags | base_model | |||||
|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 | transformers | text-generation |
|
Qwen/Qwen3-4B |
Qwen3-4B-Tooluse-RLSD-TR
This repository contains the Qwen3-4B tooluse RLSD_TR batch-size-32 run.
The repository root contains the best validation checkpoint, selected by validation mean@16. checkpoints/last/ contains the final checkpoint.
Performance
| Dataset | Method | Base model | Train batch size | Best val mean@16 | Best checkpoint | Final val mean@16 | Final checkpoint |
|---|---|---|---|---|---|---|---|
| Tool-use / tooluse | RLSD_TR | Qwen3-4B | 32 | 61.03% | 60 | 59.38% | 100 |
Validation Mean@16
| step | val_mean16 | percent |
|---|---|---|
| 10 | 0.576286764706 | 57.63% |
| 20 | 0.586397058824 | 58.64% |
| 30 | 0.575367647059 | 57.54% |
| 40 | 0.570772058824 | 57.08% |
| 50 | 0.553308823529 | 55.33% |
| 60 | 0.610294117647 | 61.03% |
| 70 | 0.594669117647 | 59.47% |
| 80 | 0.592830882353 | 59.28% |
| 90 | 0.531250000000 | 53.12% |
| 100 | 0.593750000000 | 59.38% |
Detailed Training Hyperparameters
| Section | Parameter | Value | Source |
|---|---|---|---|
| Run identity | Base model |
Qwen/Qwen3-4B |
queue/script override |
| Run identity | Dataset |
Tool-use / tooluse |
run_qwen3_generalization.sh |
| Run identity | Method |
RLSD_TR |
run_qwen3_generalization.sh |
| Run identity | Config |
rlsd |
run_qwen3_generalization.sh |
| Run identity | Experiment |
qwen3gen-tooluse-RLSD_TR-Qwen-Qwen3-4B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8 |
run_qwen3_generalization.sh |
| Run identity | W&B run |
run-20260702_154716-jrdzd11b |
wandb |
| Data | Train file |
datasets/tooluse/train.parquet |
script override |
| Data | Validation file |
datasets/tooluse/test.parquet |
script override |
| Data | Train batch size |
32 |
queue/script override |
| Data | Train max samples |
3200 |
queue/script override |
| Schedule | Total training steps |
100 |
queue/script override |
| Schedule | Validation before train |
False |
queue/script override |
| Schedule | Save frequency |
10 |
queue/script override |
| Schedule | Validation frequency |
10 |
queue/script override |
| Sequence | Max prompt length |
2048 |
queue/script override |
| Sequence | Max response length |
8192 |
queue/script override |
| Sequence | Max model length |
10240 |
queue/script override |
| Rollout | Train rollout n |
8 |
queue/script override |
| Rollout | Validation rollout n |
16 |
queue/script override |
| Rollout | vLLM GPU memory utilization |
0.8 |
queue/script override |
| Optimization | Learning rate |
1e-6 |
RLSD_TR method override |
| Optimization | Weight decay |
0.01 |
script override |
| PPO/GRPO | PPO mini batch size |
8 |
queue/script override |
| PPO/GRPO | Normalize GRPO advantages by std |
False |
baseline_grpo.yaml / script override |
| Rollout correction | Importance sampling mode |
token |
script override |
| Rollout correction | IS threshold |
2.0 |
script override |
| Checkpoint/Logging | Checkpoint root |
checkpoints/datasets/tooluse/qwen3gen-tooluse-RLSD_TR-Qwen-Qwen3-4B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8 |
script override |
| Checkpoint/Logging | Latest checkpointed iteration |
100 |
latest_checkpointed_iteration.txt |
| Checkpoint/Logging | External actor archive |
checkpoints/datasets/tooluse/qwen3gen-tooluse-RLSD_TR-Qwen-Qwen3-4B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/_actor_archive |
preserve_actor_checkpoints.py |
| Checkpoint/Logging | Logger |
console, wandb |
ppo_trainer.yaml |
| RLSD_TR | Policy loss mode |
rlsd |
method override |
| RLSD_TR | Teacher regularization |
trust-region |
method override |
| RLSD_TR | Trust-region mix / teacher update rate |
0.1 |
queue/script override |
| RLSD_TR | Token reweight lambda |
0.5 |
queue/script override |
| RLSD_TR | Token reweight eps_w |
0.2 |
queue/script override |
| RLSD_TR | Token reweight decay steps |
0 |
queue/script override |
| RLSD_TR | Fused kernels |
False |
method override |
Raw result and artifact files:
results/validation_mean16.csvresults/training_scores.csvresults/hyperparameters.csvresults/training_score.pngresults/training_score.svgartifacts/config.yamlartifacts/wandb-summary.jsonartifacts/wandb-metadata.jsonartifacts/output.logartifacts/queue.log
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
repo_id = "SeongryongJung/Qwen3-4B-Tooluse-RLSD-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/tooluse/qwen3gen-tooluse-RLSD_TR-Qwen-Qwen3-4B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8 - Root actor checkpoint:
checkpoints/datasets/tooluse/qwen3gen-tooluse-RLSD_TR-Qwen-Qwen3-4B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/_actor_archive/global_step_60/actor - Last actor checkpoint:
checkpoints/datasets/tooluse/qwen3gen-tooluse-RLSD_TR-Qwen-Qwen3-4B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_100/actor - W&B run:
run-20260702_154716-jrdzd11b - Queue log:
artifacts/queue.log
Description
Languages
Jinja
100%
