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.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ results/training_score.png filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: Qwen/Qwen3-8B
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+ library_name: transformers
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+ tags:
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+ - qwen3
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+ - reinforcement-learning
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+ - sdpo
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+ - srpo
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+ - ema
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+ ---
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+
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+ # qwen3-8b-chemistry-sdpo-ema005
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+
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+ This repository contains the **last checkpoint** (`global_step_100`) for `qwen3gen-chemistry-SDPO-Qwen-Qwen3-8B-mbs32-ema0.05-train64-rollout8-lr1e-5-vllm0.8`,
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+ converted to Hugging Face Transformers format.
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+
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+ ## Evaluation
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+
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+ The reported headline score is the **best validation `mean@16` observed during training**.
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+ It is not necessarily the score of the uploaded last checkpoint.
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+
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+ | Dataset | Method | Model | Uploaded checkpoint | Best val mean@16 | Best step | Final val mean@16 |
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+ |---|---|---|---|---:|---:|---:|
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+ | chemistry | SDPO | Qwen3-8B | global_step_100 | 77.86% | 80 | 77.47% |
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+
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+ ![Training and validation scores](results/training_score.png)
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+
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+ Raw result files:
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+
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+ - `results/validation_mean16.csv`
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+ - `results/training_scores.csv`
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+ - `artifacts/config.yaml`
34
+ - `artifacts/wandb-summary.json`
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+
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+ ## Training Setup
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+
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+ - Base model: `Qwen/Qwen3-8B`
39
+ - Dataset: `chemistry`
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+ - Method: `SDPO`
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+ - EMA teacher update rate: `0.05`
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+ - Uploaded weights: last checkpoint, `global_step_100`
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+ - Validation metric used for headline score: `val-aux/*/mean@16`
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+ - Validation sampling: `n=16`
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ repo_id = "SeongryongJung/qwen3-8b-chemistry-sdpo-ema005"
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+ tokenizer = AutoTokenizer.from_pretrained(repo_id, trust_remote_code=True)
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+ model = AutoModelForCausalLM.from_pretrained(
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+ repo_id,
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+ torch_dtype="auto",
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+ device_map="auto",
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+ trust_remote_code=True,
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+ )
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+ ```
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+
61
+ ## Notes
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+
63
+ Most best-validation intermediate checkpoints were not retained as full actor checkpoints because
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+ training kept only the latest actor checkpoint. Therefore, this repository publishes the last
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+ checkpoint and records the best validation score separately.
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+ - --raylet-name=/tmp/ray_q3g_chemistry_sdpo_Qwen3_8B/session_2026-06-30_10-25-21_585671_784163/sockets/raylet
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+ cudaVersion: "13.0"
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+ disk:
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+ /:
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+ total: "46086056050688"
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+ used: "5206928695296"
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+ email: jungsr1116@cau.ac.kr
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+ executable: /workspace/SIPO/.venv/bin/python
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+ git:
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+ commit: c237ec221cb7566d5f85232708425314a6ffc926
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+ remote: https://github.com/jungseongryong/L2T
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+ python: CPython 3.12.13
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+ root: /workspace/L2T
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+ _target_: verl.workers.config.FSDPActorConfig
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+ calculate_entropy: false
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+ calculate_sum_pi_squared: false
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+ checkpoint:
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+ _target_: verl.trainer.config.CheckpointConfig
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+ async_save: false
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+ load_contents:
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+ - model
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+ - optimizer
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+ - extra
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+ - optimizer
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+ - extra
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+ data_loader_seed: 42
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+ entropy_checkpointing: false
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+ entropy_coeff: 0
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+ entropy_from_logits_with_chunking: false
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+ freeze_vision_tower: false
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+ fsdp_config:
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+ _target_: verl.workers.config.FSDPEngineConfig
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+ dtype: bfloat16
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+ entropy_checkpointing: false
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+ entropy_from_logits_with_chunking: false
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+ full_determinism: false
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+ model_dtype: fp32
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+ offload_policy: false
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+ optimizer_offload: false
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+ param_offload: false
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+ reshard_after_forward: true
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+ seed: 42
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+ strategy: fsdp
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+ ulysses_sequence_parallel_size: 1
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+ use_orig_params: false
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+ use_torch_compile: true
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+ wrap_policy:
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+ grad_clip: 1
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+ betas:
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+ - 0.9
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+ - 0.999
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+ clip_grad: 1
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+ lr: 1e-05
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+ lr_scheduler_type: constant
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+ lr_warmup_steps: 10
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+ lr_warmup_steps_ratio: 0
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+ min_lr_ratio: 0
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+ num_cycles: 0.5
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+ optimizer: AdamW
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+ optimizer_impl: torch.optim
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+ override_optimizer_config: null
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+ total_training_steps: 100
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+ warmup_style: null
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+ weight_decay: 0.01
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+ policy_loss:
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+ clip_cov_lb: 1
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+ clip_cov_ub: 5
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+ kl_cov_ratio: 0.0002
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+ loss_mode: sdpo
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+ ppo_kl_coef: 0.1
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+ ppo_epochs: 1
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+ ppo_max_token_len_per_gpu: 10240
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+ ppo_micro_batch_size: null
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+ ppo_micro_batch_size_per_gpu: 1
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+ ppo_mini_batch_size: 32
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+ profiler:
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+ all_ranks: false
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+ enable: false
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+ ranks: []
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+ save_path: outputs/profile
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+ tool_config:
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+ _target_: verl.utils.profiler.config.NPUToolConfig
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+ analysis: true
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+ contents: []
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+ discrete: false
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+ level: level0
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+ nsys:
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+ _target_: verl.utils.profiler.config.NsightToolConfig
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+ discrete: false
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+ torch:
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+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
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+ step_end: null
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+ step_start: 0
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+ torch_memory:
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+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
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+ stack_depth: 32
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+ trace_alloc_max_entries: 100000
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+ rollout_n: 8
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+ router_replay:
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+ _target_: verl.workers.config.RouterReplayConfig
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+ mode: disabled
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+ record_file: null
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+ replay_file: null
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+ self_distillation:
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+ _target_: verl.workers.config.SelfDistillationConfig
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+ alpha: 0.5
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+ distillation_add_tail: true
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+ distillation_topk: 100
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+ dont_reprompt_on_self_success: true
246
+ environment_feedback_only_without_solution: true
247
+ feedback_template: |4-
248
+ The following is feedback from your unsuccessful earlier attempt:
249
+
250
+ {feedback_raw}
251
+ full_logit_distillation: true
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+ include_environment_feedback: false
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+ is_clip: 2
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+ max_reprompt_len: 10240
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+ remove_thinking_from_demonstration: false
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+ reprompt_template: |-
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+ {prompt}{solution}{feedback}
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+
259
+ Correctly solve the original question.
260
+ reprompt_truncation: right
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+ solution_template: |4-
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+ Correct solution:
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+
264
+ {successful_previous_attempt}
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+ srpo_dynamic_weighting: false
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+ srpo_dynamic_weighting_temperature: 1
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+ success_reward_threshold: 0.5
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+ teacher_regularization: ema
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+ teacher_update_rate: 0.05
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+ token_reweight_decay_steps: null
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+ token_reweight_eps_w: 0.2
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+ token_reweight_lambda: 0.5
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+ shuffle: false
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+ strategy: fsdp
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+ sum_pi_squared_checkpointing: false
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+ tau_neg: 1.05
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+ tau_pos: 1
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+ ulysses_sequence_parallel_size: 1
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+ use_dynamic_bsz: false
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+ use_fused_kernels: false
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+ use_kl_loss: false
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+ use_prefix_grouper: false
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+ use_remove_padding: true
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+ use_torch_compile: true
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+ hybrid_engine: true
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+ model:
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+ _target_: verl.workers.config.HFModelConfig
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+ custom_chat_template: null
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+ enable_activation_offload: false
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+ enable_gradient_checkpointing: true
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+ exclude_modules: null
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+ external_lib: null
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+ fused_kernel_options:
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+ impl_backend: torch
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+ hf_config_path: null
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+ lora_adapter_path: null
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+ lora_alpha: 16
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+ lora_rank: 0
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+ path: Qwen/Qwen3-8B
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+ target_modules: all-linear
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+ tiled_mlp:
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+ enabled: false
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+ num_shards: 4
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+ tokenizer_path: null
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+ trust_remote_code: true
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+ use_fused_kernels: false
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+ use_liger: false
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+ use_remove_padding: true
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+ use_shm: false
310
+ nccl_timeout: 600
311
+ ref:
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+ _target_: verl.workers.config.FSDPActorConfig
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+ entropy_checkpointing: false
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+ entropy_from_logits_with_chunking: false
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+ fsdp_config:
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+ _target_: verl.workers.config.FSDPEngineConfig
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+ dtype: bfloat16
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+ entropy_checkpointing: false
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+ entropy_from_logits_with_chunking: false
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+ forward_only: true
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+ forward_prefetch: false
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+ fsdp_size: -1
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+ full_determinism: false
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+ model_dtype: fp32
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+ offload_policy: false
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+ optimizer_offload: false
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+ param_offload: false
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+ reshard_after_forward: true
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+ seed: 42
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+ strategy: fsdp
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+ ulysses_sequence_parallel_size: 1
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+ use_orig_params: false
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+ use_torch_compile: true
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+ log_prob_max_token_len_per_gpu: 10240
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+ npu:
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+ _target_: verl.utils.profiler.config.NPUToolConfig
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+ analysis: true
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+ contents: []
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+ discrete: false
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+ level: level0
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+ nsys:
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+ discrete: false
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+ torch:
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+ step_start: 0
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+ torch_memory:
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+ stack_depth: 32
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+ rollout_n: 8
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+ router_replay:
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+ _target_: verl.workers.config.RouterReplayConfig
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+ mode: disabled
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+ record_file: null
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+ replay_file: null
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+ strategy: fsdp
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+ use_torch_compile: true
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+ _target_: verl.workers.config.RolloutConfig
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+ agent:
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+ _target_: verl.workers.config.AgentLoopConfig
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+ agent_loop_config_path: null
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+ custom_async_server:
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+ name: null
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+ path: null
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+ default_agent_loop: single_turn_agent
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+ num_workers: 8
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+ calculate_log_probs: true
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artifacts/wandb-summary.json ADDED
@@ -0,0 +1 @@
 
 
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+ {%- if tools %}
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+ {{- "\n" }}
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+ {{- content }}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- if enable_thinking is defined and enable_thinking is false %}
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+ {{- '<think>\n\n</think>\n\n' }}
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