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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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  *tfevents* 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-physics-srpo-ema005
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+
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+ This repository contains the **last checkpoint** (`global_step_100`) for `qwen3gen-physics-SRPO-Qwen-Qwen3-8B-mbs32-ema0.05-dwtrue-train64-rollout8-lr5e-6-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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+ | physics | SRPO | Qwen3-8B | global_step_100 | 71.33% | 40 | 56.64% |
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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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+
36
+ ## Training Setup
37
+
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+ - Base model: `Qwen/Qwen3-8B`
39
+ - Dataset: `physics`
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+ - Method: `SRPO`
41
+ - EMA teacher update rate: `0.05`
42
+ - Uploaded weights: last checkpoint, `global_step_100`
43
+ - 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-physics-srpo-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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+
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+ ## Notes
62
+
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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+ param_offload: false
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+ reshard_after_forward: true
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+ use_orig_params: false
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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: 5e-06
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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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+ weight_decay: 0.01
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+ clip_cov_ub: 5
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+ kl_cov_ratio: 0.0002
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+ ppo_kl_coef: 0.1
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+ ppo_epochs: 1
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+ analysis: true
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+ contents: []
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+ level: level0
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+ discrete: false
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+ torch:
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+ step_end: null
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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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+ mode: disabled
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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
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+ 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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+
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+ Correctly solve the original question.
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+ 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: true
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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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+ use_kl_loss: false
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+ use_prefix_grouper: false
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+ use_remove_padding: true
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+ hybrid_engine: true
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+ model:
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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
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+ nccl_timeout: 600
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+ 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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+ dtype: bfloat16
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+ entropy_from_logits_with_chunking: false
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+ forward_only: true
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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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+ 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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+ level: level0
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+ torch:
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+ mode: disabled
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+ calculate_log_probs: true
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artifacts/wandb-summary.json ADDED
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+ {%- if tools %}
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+ {{- "\n" }}
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+ {{- content }}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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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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+ {%- endif %}
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