Reinforcement Learning
Transformers
Safetensors
qwen3
text-generation
sdpo
srpo
ema
text-generation-inference
Instructions to use SeongryongJung/qwen3-8b-physics-srpo-ema005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeongryongJung/qwen3-8b-physics-srpo-ema005 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SeongryongJung/qwen3-8b-physics-srpo-ema005") model = AutoModelForCausalLM.from_pretrained("SeongryongJung/qwen3-8b-physics-srpo-ema005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files- .gitattributes +2 -0
- README.md +65 -0
- added_tokens.json +28 -0
- artifacts/config.yaml +843 -0
- artifacts/wandb-summary.json +1 -0
- chat_template.jinja +89 -0
- config.json +68 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +407 -0
- results/training_score.png +3 -0
- results/training_scores.csv +91 -0
- results/validation_mean16.csv +11 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +239 -0
- vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip 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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*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 37 |
+
results/training_score.png filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
|
@@ -0,0 +1,65 @@
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: Qwen/Qwen3-8B
|
| 4 |
+
library_name: transformers
|
| 5 |
+
tags:
|
| 6 |
+
- qwen3
|
| 7 |
+
- reinforcement-learning
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| 8 |
+
- sdpo
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| 9 |
+
- srpo
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| 10 |
+
- ema
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| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# qwen3-8b-physics-srpo-ema005
|
| 14 |
+
|
| 15 |
+
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`,
|
| 16 |
+
converted to Hugging Face Transformers format.
|
| 17 |
+
|
| 18 |
+
## Evaluation
|
| 19 |
+
|
| 20 |
+
The reported headline score is the **best validation `mean@16` observed during training**.
|
| 21 |
+
It is not necessarily the score of the uploaded last checkpoint.
|
| 22 |
+
|
| 23 |
+
| Dataset | Method | Model | Uploaded checkpoint | Best val mean@16 | Best step | Final val mean@16 |
|
| 24 |
+
|---|---|---|---|---:|---:|---:|
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| 25 |
+
| physics | SRPO | Qwen3-8B | global_step_100 | 71.33% | 40 | 56.64% |
|
| 26 |
+
|
| 27 |
+

|
| 28 |
+
|
| 29 |
+
Raw result files:
|
| 30 |
+
|
| 31 |
+
- `results/validation_mean16.csv`
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| 32 |
+
- `results/training_scores.csv`
|
| 33 |
+
- `artifacts/config.yaml`
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| 34 |
+
- `artifacts/wandb-summary.json`
|
| 35 |
+
|
| 36 |
+
## Training Setup
|
| 37 |
+
|
| 38 |
+
- Base model: `Qwen/Qwen3-8B`
|
| 39 |
+
- Dataset: `physics`
|
| 40 |
+
- 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`
|
| 44 |
+
- Validation sampling: `n=16`
|
| 45 |
+
|
| 46 |
+
## Usage
|
| 47 |
+
|
| 48 |
+
```python
|
| 49 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 50 |
+
|
| 51 |
+
repo_id = "SeongryongJung/qwen3-8b-physics-srpo-ema005"
|
| 52 |
+
tokenizer = AutoTokenizer.from_pretrained(repo_id, trust_remote_code=True)
|
| 53 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 54 |
+
repo_id,
|
| 55 |
+
torch_dtype="auto",
|
| 56 |
+
device_map="auto",
|
| 57 |
+
trust_remote_code=True,
|
| 58 |
+
)
|
| 59 |
+
```
|
| 60 |
+
|
| 61 |
+
## Notes
|
| 62 |
+
|
| 63 |
+
Most best-validation intermediate checkpoints were not retained as full actor checkpoints because
|
| 64 |
+
training kept only the latest actor checkpoint. Therefore, this repository publishes the last
|
| 65 |
+
checkpoint and records the best validation score separately.
|
added_tokens.json
ADDED
|
@@ -0,0 +1,28 @@
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{
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"</think>": 151668,
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| 3 |
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"</tool_call>": 151658,
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| 4 |
+
"</tool_response>": 151666,
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| 5 |
+
"<think>": 151667,
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| 6 |
+
"<tool_call>": 151657,
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| 7 |
+
"<tool_response>": 151665,
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| 8 |
+
"<|box_end|>": 151649,
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| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
artifacts/config.yaml
ADDED
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@@ -0,0 +1,843 @@
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|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.23.1
|
| 4 |
+
e:
|
| 5 |
+
ai30bfqgweiv28uek7jwhj7ol64pzxtf:
|
| 6 |
+
args:
|
| 7 |
+
- --node-ip-address=198.19.35.151
|
| 8 |
+
- --node-manager-port=35355
|
| 9 |
+
- --object-store-name=/tmp/ray_q3g_physics_srpo_Qwen3_8B/session_2026-06-30_16-47-09_678101_889012/sockets/plasma_store
|
| 10 |
+
- --raylet-name=/tmp/ray_q3g_physics_srpo_Qwen3_8B/session_2026-06-30_16-47-09_678101_889012/sockets/raylet
|
| 11 |
+
- --redis-address=None
|
| 12 |
+
- --metrics-agent-port=61450
|
| 13 |
+
- --logging-rotate-bytes=536870912
|
| 14 |
+
- --logging-rotate-backup-count=5
|
| 15 |
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- --runtime-env-agent-port=55203
|
| 16 |
+
- --gcs-address=198.19.35.151:64656
|
| 17 |
+
- --session-name=session_2026-06-30_16-47-09_678101_889012
|
| 18 |
+
- --temp-dir=/tmp/ray_q3g_physics_srpo_Qwen3_8B
|
| 19 |
+
- --webui=
|
| 20 |
+
- --cluster-id=ee276632b8c3417e6bc5f190756cedb983121f696c4b1ce7008aaf01
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| 21 |
+
- --startup-token=32
|
| 22 |
+
- --worker-launch-time-ms=1782838033277
|
| 23 |
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- --node-id=327c84e8d5ee94883ab8ac85d0d41689b8dde4f1611345fdd3489c75
|
| 24 |
+
- --runtime-env-hash=-1580796864
|
| 25 |
+
cpu_count: 64
|
| 26 |
+
cpu_count_logical: 128
|
| 27 |
+
cudaVersion: "13.0"
|
| 28 |
+
disk:
|
| 29 |
+
/:
|
| 30 |
+
total: "46086056050688"
|
| 31 |
+
used: "5502000783360"
|
| 32 |
+
email: jungsr1116@cau.ac.kr
|
| 33 |
+
executable: /workspace/SIPO/.venv/bin/python
|
| 34 |
+
git:
|
| 35 |
+
commit: c237ec221cb7566d5f85232708425314a6ffc926
|
| 36 |
+
remote: https://github.com/jungseongryong/L2T
|
| 37 |
+
gpu: NVIDIA H200
|
| 38 |
+
gpu_count: 8
|
| 39 |
+
gpu_nvidia:
|
| 40 |
+
- architecture: Hopper
|
| 41 |
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cudaCores: 16896
|
| 42 |
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memoryTotal: "150754820096"
|
| 43 |
+
name: NVIDIA H200
|
| 44 |
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uuid: GPU-b897a6c4-7996-e2f1-0cc0-7b02d6a38587
|
| 45 |
+
- architecture: Hopper
|
| 46 |
+
cudaCores: 16896
|
| 47 |
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memoryTotal: "150754820096"
|
| 48 |
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name: NVIDIA H200
|
| 49 |
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uuid: GPU-f7cf7fff-d108-62cb-498a-225bffd6d151
|
| 50 |
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- architecture: Hopper
|
| 51 |
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cudaCores: 16896
|
| 52 |
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memoryTotal: "150754820096"
|
| 53 |
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name: NVIDIA H200
|
| 54 |
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uuid: GPU-5a9f5a22-0fdb-36cc-c516-0b618776d8ca
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| 55 |
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- architecture: Hopper
|
| 56 |
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cudaCores: 16896
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| 57 |
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memoryTotal: "150754820096"
|
| 58 |
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name: NVIDIA H200
|
| 59 |
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uuid: GPU-d547a11f-7fca-c74b-76fb-73993c30f136
|
| 60 |
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|
| 61 |
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cudaCores: 16896
|
| 62 |
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memoryTotal: "150754820096"
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| 63 |
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name: NVIDIA H200
|
| 64 |
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uuid: GPU-ac3cb18b-d562-1d58-725e-10738ff5694c
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| 65 |
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|
| 66 |
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cudaCores: 16896
|
| 67 |
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memoryTotal: "150754820096"
|
| 68 |
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name: NVIDIA H200
|
| 69 |
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uuid: GPU-e8484200-8103-548e-6421-89d2884c6d32
|
| 70 |
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- architecture: Hopper
|
| 71 |
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cudaCores: 16896
|
| 72 |
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memoryTotal: "150754820096"
|
| 73 |
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name: NVIDIA H200
|
| 74 |
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uuid: GPU-83471bd2-f389-d36d-63de-d4759c4435d3
|
| 75 |
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- architecture: Hopper
|
| 76 |
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cudaCores: 16896
|
| 77 |
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memoryTotal: "150754820096"
|
| 78 |
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name: NVIDIA H200
|
| 79 |
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uuid: GPU-885aa58c-6341-2956-85d4-ca01897dd4a2
|
| 80 |
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host: mole-gpu-2
|
| 81 |
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memory:
|
| 82 |
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total: "2163980390400"
|
| 83 |
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os: Linux-6.8.0-71-generic-x86_64-with-glibc2.36
|
| 84 |
+
program: /workspace/SIPO/.venv/lib/python3.12/site-packages/ray/_private/workers/default_worker.py
|
| 85 |
+
python: CPython 3.12.13
|
| 86 |
+
root: /workspace/L2T
|
| 87 |
+
startedAt: "2026-06-30T16:49:20.293549Z"
|
| 88 |
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writerId: ai30bfqgweiv28uek7jwhj7ol64pzxtf
|
| 89 |
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m: []
|
| 90 |
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python_version: 3.12.13
|
| 91 |
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t:
|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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| 96 |
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|
| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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|
| 104 |
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| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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| 113 |
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|
| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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|
| 122 |
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"5": 0.23.1
|
| 123 |
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"6": 4.57.1
|
| 124 |
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"12": 0.23.1
|
| 125 |
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"13": linux-x86_64
|
| 126 |
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actor_rollout_ref:
|
| 127 |
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value:
|
| 128 |
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actor:
|
| 129 |
+
_target_: verl.workers.config.FSDPActorConfig
|
| 130 |
+
calculate_entropy: false
|
| 131 |
+
calculate_sum_pi_squared: false
|
| 132 |
+
checkpoint:
|
| 133 |
+
_target_: verl.trainer.config.CheckpointConfig
|
| 134 |
+
async_save: false
|
| 135 |
+
load_contents:
|
| 136 |
+
- model
|
| 137 |
+
- optimizer
|
| 138 |
+
- extra
|
| 139 |
+
save_contents:
|
| 140 |
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- model
|
| 141 |
+
- optimizer
|
| 142 |
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- extra
|
| 143 |
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clip_ratio: 0.2
|
| 144 |
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clip_ratio_c: 3
|
| 145 |
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clip_ratio_high: 0.28
|
| 146 |
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clip_ratio_low: 0.2
|
| 147 |
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data_loader_seed: 42
|
| 148 |
+
entropy_checkpointing: false
|
| 149 |
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entropy_coeff: 0
|
| 150 |
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entropy_from_logits_with_chunking: false
|
| 151 |
+
freeze_vision_tower: false
|
| 152 |
+
fsdp_config:
|
| 153 |
+
_target_: verl.workers.config.FSDPEngineConfig
|
| 154 |
+
dtype: bfloat16
|
| 155 |
+
entropy_checkpointing: false
|
| 156 |
+
entropy_from_logits_with_chunking: false
|
| 157 |
+
forward_only: false
|
| 158 |
+
forward_prefetch: false
|
| 159 |
+
fsdp_size: -1
|
| 160 |
+
full_determinism: false
|
| 161 |
+
model_dtype: fp32
|
| 162 |
+
offload_policy: false
|
| 163 |
+
optimizer_offload: false
|
| 164 |
+
param_offload: false
|
| 165 |
+
reshard_after_forward: true
|
| 166 |
+
seed: 42
|
| 167 |
+
strategy: fsdp
|
| 168 |
+
ulysses_sequence_parallel_size: 1
|
| 169 |
+
use_orig_params: false
|
| 170 |
+
use_torch_compile: true
|
| 171 |
+
wrap_policy:
|
| 172 |
+
min_num_params: 0
|
| 173 |
+
grad_clip: 1
|
| 174 |
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kl_loss_coef: 0.001
|
| 175 |
+
kl_loss_type: low_var_kl
|
| 176 |
+
loss_agg_mode: token-mean
|
| 177 |
+
loss_scale_factor: null
|
| 178 |
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optim:
|
| 179 |
+
_target_: verl.workers.config.FSDPOptimizerConfig
|
| 180 |
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betas:
|
| 181 |
+
- 0.9
|
| 182 |
+
- 0.999
|
| 183 |
+
clip_grad: 1
|
| 184 |
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lr: 5e-06
|
| 185 |
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lr_scheduler_type: constant
|
| 186 |
+
lr_warmup_steps: 10
|
| 187 |
+
lr_warmup_steps_ratio: 0
|
| 188 |
+
min_lr_ratio: 0
|
| 189 |
+
num_cycles: 0.5
|
| 190 |
+
optimizer: AdamW
|
| 191 |
+
optimizer_impl: torch.optim
|
| 192 |
+
override_optimizer_config: null
|
| 193 |
+
total_training_steps: 100
|
| 194 |
+
warmup_style: null
|
| 195 |
+
weight_decay: 0.01
|
| 196 |
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policy_loss:
|
| 197 |
+
_target_: verl.workers.config.PolicyLossConfig
|
| 198 |
+
clip_cov_lb: 1
|
| 199 |
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clip_cov_ratio: 0.0002
|
| 200 |
+
clip_cov_ub: 5
|
| 201 |
+
kl_cov_ratio: 0.0002
|
| 202 |
+
loss_mode: srpo
|
| 203 |
+
ppo_kl_coef: 0.1
|
| 204 |
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ppo_epochs: 1
|
| 205 |
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ppo_max_token_len_per_gpu: 10240
|
| 206 |
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ppo_micro_batch_size: null
|
| 207 |
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ppo_micro_batch_size_per_gpu: 1
|
| 208 |
+
ppo_mini_batch_size: 32
|
| 209 |
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profiler:
|
| 210 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 211 |
+
all_ranks: false
|
| 212 |
+
enable: false
|
| 213 |
+
ranks: []
|
| 214 |
+
save_path: outputs/profile
|
| 215 |
+
tool: null
|
| 216 |
+
tool_config:
|
| 217 |
+
npu:
|
| 218 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 219 |
+
analysis: true
|
| 220 |
+
contents: []
|
| 221 |
+
discrete: false
|
| 222 |
+
level: level0
|
| 223 |
+
nsys:
|
| 224 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 225 |
+
discrete: false
|
| 226 |
+
torch:
|
| 227 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 228 |
+
step_end: null
|
| 229 |
+
step_start: 0
|
| 230 |
+
torch_memory:
|
| 231 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 232 |
+
stack_depth: 32
|
| 233 |
+
trace_alloc_max_entries: 100000
|
| 234 |
+
rollout_n: 8
|
| 235 |
+
router_replay:
|
| 236 |
+
_target_: verl.workers.config.RouterReplayConfig
|
| 237 |
+
mode: disabled
|
| 238 |
+
record_file: null
|
| 239 |
+
replay_file: null
|
| 240 |
+
self_distillation:
|
| 241 |
+
_target_: verl.workers.config.SelfDistillationConfig
|
| 242 |
+
alpha: 0.5
|
| 243 |
+
distillation_add_tail: true
|
| 244 |
+
distillation_topk: 100
|
| 245 |
+
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
|
| 252 |
+
include_environment_feedback: false
|
| 253 |
+
is_clip: 2
|
| 254 |
+
max_reprompt_len: 10240
|
| 255 |
+
remove_thinking_from_demonstration: false
|
| 256 |
+
reprompt_template: |-
|
| 257 |
+
{prompt}{solution}{feedback}
|
| 258 |
+
|
| 259 |
+
Correctly solve the original question.
|
| 260 |
+
reprompt_truncation: right
|
| 261 |
+
solution_template: |4-
|
| 262 |
+
Correct solution:
|
| 263 |
+
|
| 264 |
+
{successful_previous_attempt}
|
| 265 |
+
srpo_dynamic_weighting: true
|
| 266 |
+
srpo_dynamic_weighting_temperature: 1
|
| 267 |
+
success_reward_threshold: 0.5
|
| 268 |
+
teacher_regularization: ema
|
| 269 |
+
teacher_update_rate: 0.05
|
| 270 |
+
token_reweight_decay_steps: null
|
| 271 |
+
token_reweight_eps_w: 0.2
|
| 272 |
+
token_reweight_lambda: 0.5
|
| 273 |
+
shuffle: false
|
| 274 |
+
strategy: fsdp
|
| 275 |
+
sum_pi_squared_checkpointing: false
|
| 276 |
+
tau_neg: 1.05
|
| 277 |
+
tau_pos: 1
|
| 278 |
+
ulysses_sequence_parallel_size: 1
|
| 279 |
+
use_dynamic_bsz: false
|
| 280 |
+
use_fused_kernels: false
|
| 281 |
+
use_kl_loss: false
|
| 282 |
+
use_prefix_grouper: false
|
| 283 |
+
use_remove_padding: true
|
| 284 |
+
use_torch_compile: true
|
| 285 |
+
hybrid_engine: true
|
| 286 |
+
model:
|
| 287 |
+
_target_: verl.workers.config.HFModelConfig
|
| 288 |
+
custom_chat_template: null
|
| 289 |
+
enable_activation_offload: false
|
| 290 |
+
enable_gradient_checkpointing: true
|
| 291 |
+
exclude_modules: null
|
| 292 |
+
external_lib: null
|
| 293 |
+
fused_kernel_options:
|
| 294 |
+
impl_backend: torch
|
| 295 |
+
hf_config_path: null
|
| 296 |
+
lora_adapter_path: null
|
| 297 |
+
lora_alpha: 16
|
| 298 |
+
lora_rank: 0
|
| 299 |
+
path: Qwen/Qwen3-8B
|
| 300 |
+
target_modules: all-linear
|
| 301 |
+
tiled_mlp:
|
| 302 |
+
enabled: false
|
| 303 |
+
num_shards: 4
|
| 304 |
+
tokenizer_path: null
|
| 305 |
+
trust_remote_code: true
|
| 306 |
+
use_fused_kernels: false
|
| 307 |
+
use_liger: false
|
| 308 |
+
use_remove_padding: true
|
| 309 |
+
use_shm: false
|
| 310 |
+
nccl_timeout: 600
|
| 311 |
+
ref:
|
| 312 |
+
_target_: verl.workers.config.FSDPActorConfig
|
| 313 |
+
entropy_checkpointing: false
|
| 314 |
+
entropy_from_logits_with_chunking: false
|
| 315 |
+
fsdp_config:
|
| 316 |
+
_target_: verl.workers.config.FSDPEngineConfig
|
| 317 |
+
dtype: bfloat16
|
| 318 |
+
entropy_checkpointing: false
|
| 319 |
+
entropy_from_logits_with_chunking: false
|
| 320 |
+
forward_only: true
|
| 321 |
+
forward_prefetch: false
|
| 322 |
+
fsdp_size: -1
|
| 323 |
+
full_determinism: false
|
| 324 |
+
model_dtype: fp32
|
| 325 |
+
offload_policy: false
|
| 326 |
+
optimizer_offload: false
|
| 327 |
+
param_offload: false
|
| 328 |
+
reshard_after_forward: true
|
| 329 |
+
seed: 42
|
| 330 |
+
strategy: fsdp
|
| 331 |
+
ulysses_sequence_parallel_size: 1
|
| 332 |
+
use_orig_params: false
|
| 333 |
+
use_torch_compile: true
|
| 334 |
+
wrap_policy:
|
| 335 |
+
min_num_params: 0
|
| 336 |
+
log_prob_max_token_len_per_gpu: 10240
|
| 337 |
+
log_prob_micro_batch_size: null
|
| 338 |
+
log_prob_micro_batch_size_per_gpu: 1
|
| 339 |
+
log_prob_use_dynamic_bsz: false
|
| 340 |
+
profiler:
|
| 341 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 342 |
+
all_ranks: false
|
| 343 |
+
enable: false
|
| 344 |
+
ranks: []
|
| 345 |
+
save_path: outputs/profile
|
| 346 |
+
tool: null
|
| 347 |
+
tool_config:
|
| 348 |
+
npu:
|
| 349 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 350 |
+
analysis: true
|
| 351 |
+
contents: []
|
| 352 |
+
discrete: false
|
| 353 |
+
level: level0
|
| 354 |
+
nsys:
|
| 355 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 356 |
+
discrete: false
|
| 357 |
+
torch:
|
| 358 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 359 |
+
step_end: null
|
| 360 |
+
step_start: 0
|
| 361 |
+
torch_memory:
|
| 362 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 363 |
+
stack_depth: 32
|
| 364 |
+
trace_alloc_max_entries: 100000
|
| 365 |
+
rollout_n: 8
|
| 366 |
+
router_replay:
|
| 367 |
+
_target_: verl.workers.config.RouterReplayConfig
|
| 368 |
+
mode: disabled
|
| 369 |
+
record_file: null
|
| 370 |
+
replay_file: null
|
| 371 |
+
strategy: fsdp
|
| 372 |
+
ulysses_sequence_parallel_size: 1
|
| 373 |
+
use_torch_compile: true
|
| 374 |
+
rollout:
|
| 375 |
+
_target_: verl.workers.config.RolloutConfig
|
| 376 |
+
agent:
|
| 377 |
+
_target_: verl.workers.config.AgentLoopConfig
|
| 378 |
+
agent_loop_config_path: null
|
| 379 |
+
custom_async_server:
|
| 380 |
+
_target_: verl.workers.config.CustomAsyncServerConfig
|
| 381 |
+
name: null
|
| 382 |
+
path: null
|
| 383 |
+
default_agent_loop: single_turn_agent
|
| 384 |
+
num_workers: 8
|
| 385 |
+
calculate_log_probs: true
|
| 386 |
+
cudagraph_capture_sizes: null
|
| 387 |
+
data_parallel_size: 1
|
| 388 |
+
disable_log_stats: true
|
| 389 |
+
do_sample: true
|
| 390 |
+
dtype: bfloat16
|
| 391 |
+
enable_chunked_prefill: true
|
| 392 |
+
enable_prefix_caching: true
|
| 393 |
+
enable_rollout_routing_replay: false
|
| 394 |
+
enforce_eager: false
|
| 395 |
+
expert_parallel_size: 1
|
| 396 |
+
free_cache_engine: true
|
| 397 |
+
gpu_memory_utilization: 0.8
|
| 398 |
+
ignore_eos: false
|
| 399 |
+
layered_summon: false
|
| 400 |
+
load_format: dummy
|
| 401 |
+
log_prob_max_token_len_per_gpu: 10240
|
| 402 |
+
log_prob_micro_batch_size: null
|
| 403 |
+
log_prob_micro_batch_size_per_gpu: 1
|
| 404 |
+
log_prob_use_dynamic_bsz: false
|
| 405 |
+
logprobs_mode: processed_logprobs
|
| 406 |
+
max_model_len: 10240
|
| 407 |
+
max_num_batched_tokens: 10240
|
| 408 |
+
max_num_seqs: 1024
|
| 409 |
+
mode: async
|
| 410 |
+
multi_stage_wake_up: false
|
| 411 |
+
multi_turn:
|
| 412 |
+
_target_: verl.workers.config.MultiTurnConfig
|
| 413 |
+
enable: false
|
| 414 |
+
format: hermes
|
| 415 |
+
interaction_config_path: null
|
| 416 |
+
max_assistant_turns: null
|
| 417 |
+
max_parallel_calls: 1
|
| 418 |
+
max_tool_response_length: 256
|
| 419 |
+
max_user_turns: null
|
| 420 |
+
num_repeat_rollouts: null
|
| 421 |
+
tokenization_sanity_check_mode: strict
|
| 422 |
+
tool_config_path: null
|
| 423 |
+
tool_response_truncate_side: middle
|
| 424 |
+
use_inference_chat_template: false
|
| 425 |
+
"n": 8
|
| 426 |
+
name: vllm
|
| 427 |
+
over_sample_rate: 0
|
| 428 |
+
pipeline_model_parallel_size: 1
|
| 429 |
+
profiler:
|
| 430 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 431 |
+
all_ranks: false
|
| 432 |
+
enable: false
|
| 433 |
+
ranks: []
|
| 434 |
+
save_path: outputs/profile
|
| 435 |
+
tool: null
|
| 436 |
+
tool_config:
|
| 437 |
+
npu:
|
| 438 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 439 |
+
analysis: true
|
| 440 |
+
contents: []
|
| 441 |
+
discrete: false
|
| 442 |
+
level: level0
|
| 443 |
+
nsys:
|
| 444 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 445 |
+
discrete: false
|
| 446 |
+
torch:
|
| 447 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 448 |
+
step_end: null
|
| 449 |
+
step_start: 0
|
| 450 |
+
torch_memory:
|
| 451 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 452 |
+
stack_depth: 32
|
| 453 |
+
trace_alloc_max_entries: 100000
|
| 454 |
+
prometheus:
|
| 455 |
+
_target_: verl.workers.config.PrometheusConfig
|
| 456 |
+
enable: false
|
| 457 |
+
file: /tmp/ray/session_latest/metrics/prometheus/prometheus.yml
|
| 458 |
+
port: 9090
|
| 459 |
+
served_model_name: Qwen/Qwen3-8B
|
| 460 |
+
prompt_length: 2048
|
| 461 |
+
quantization: null
|
| 462 |
+
quantization_config_file: null
|
| 463 |
+
response_length: 8192
|
| 464 |
+
scheduling_policy: fcfs
|
| 465 |
+
skip_dump_dir: /tmp/rollout_dump
|
| 466 |
+
skip_rollout: false
|
| 467 |
+
skip_tokenizer_init: true
|
| 468 |
+
temperature: 1
|
| 469 |
+
tensor_model_parallel_size: 2
|
| 470 |
+
top_k: -1
|
| 471 |
+
top_p: 1
|
| 472 |
+
trace:
|
| 473 |
+
_target_: verl.workers.config.TraceConfig
|
| 474 |
+
backend: null
|
| 475 |
+
max_samples_per_step_per_worker: null
|
| 476 |
+
token2text: false
|
| 477 |
+
update_weights_bucket_megabytes: 512
|
| 478 |
+
val_kwargs:
|
| 479 |
+
_target_: verl.workers.config.SamplingConfig
|
| 480 |
+
do_sample: true
|
| 481 |
+
"n": 16
|
| 482 |
+
temperature: 0.6
|
| 483 |
+
top_k: -1
|
| 484 |
+
top_p: 0.95
|
| 485 |
+
algorithm:
|
| 486 |
+
value:
|
| 487 |
+
_target_: verl.trainer.config.AlgoConfig
|
| 488 |
+
adv_estimator: grpo
|
| 489 |
+
gamma: 1
|
| 490 |
+
kl_ctrl:
|
| 491 |
+
_target_: verl.trainer.config.KLControlConfig
|
| 492 |
+
horizon: 10000
|
| 493 |
+
kl_coef: 0.001
|
| 494 |
+
target_kl: 0.1
|
| 495 |
+
type: fixed
|
| 496 |
+
kl_penalty: kl
|
| 497 |
+
lam: 1
|
| 498 |
+
norm_adv_by_std_in_grpo: false
|
| 499 |
+
pf_ppo:
|
| 500 |
+
reweight_method: pow
|
| 501 |
+
weight_pow: 2
|
| 502 |
+
rollout_correction:
|
| 503 |
+
bypass_mode: false
|
| 504 |
+
loss_type: ppo_clip
|
| 505 |
+
rollout_is: token
|
| 506 |
+
rollout_is_batch_normalize: false
|
| 507 |
+
rollout_is_threshold: 2
|
| 508 |
+
rollout_rs: null
|
| 509 |
+
rollout_rs_threshold: null
|
| 510 |
+
use_kl_in_reward: false
|
| 511 |
+
use_pf_ppo: false
|
| 512 |
+
critic:
|
| 513 |
+
value:
|
| 514 |
+
_target_: verl.workers.config.FSDPCriticConfig
|
| 515 |
+
checkpoint:
|
| 516 |
+
_target_: verl.trainer.config.CheckpointConfig
|
| 517 |
+
async_save: false
|
| 518 |
+
load_contents:
|
| 519 |
+
- model
|
| 520 |
+
- optimizer
|
| 521 |
+
- extra
|
| 522 |
+
save_contents:
|
| 523 |
+
- model
|
| 524 |
+
- optimizer
|
| 525 |
+
- extra
|
| 526 |
+
cliprange_value: 0.5
|
| 527 |
+
data_loader_seed: 42
|
| 528 |
+
enable: null
|
| 529 |
+
forward_max_token_len_per_gpu: 32768
|
| 530 |
+
forward_micro_batch_size: null
|
| 531 |
+
forward_micro_batch_size_per_gpu: null
|
| 532 |
+
grad_clip: 1
|
| 533 |
+
loss_agg_mode: token-mean
|
| 534 |
+
model:
|
| 535 |
+
_target_: verl.workers.config.FSDPCriticModelCfg
|
| 536 |
+
enable_activation_offload: false
|
| 537 |
+
enable_gradient_checkpointing: true
|
| 538 |
+
external_lib: null
|
| 539 |
+
fsdp_config:
|
| 540 |
+
_target_: verl.workers.config.FSDPEngineConfig
|
| 541 |
+
dtype: bfloat16
|
| 542 |
+
entropy_checkpointing: false
|
| 543 |
+
entropy_from_logits_with_chunking: false
|
| 544 |
+
forward_only: false
|
| 545 |
+
forward_prefetch: false
|
| 546 |
+
fsdp_size: -1
|
| 547 |
+
full_determinism: false
|
| 548 |
+
model_dtype: fp32
|
| 549 |
+
offload_policy: false
|
| 550 |
+
optimizer_offload: false
|
| 551 |
+
param_offload: false
|
| 552 |
+
reshard_after_forward: true
|
| 553 |
+
seed: 42
|
| 554 |
+
strategy: fsdp
|
| 555 |
+
ulysses_sequence_parallel_size: 1
|
| 556 |
+
use_orig_params: false
|
| 557 |
+
use_torch_compile: true
|
| 558 |
+
wrap_policy:
|
| 559 |
+
min_num_params: 0
|
| 560 |
+
lora_alpha: 16
|
| 561 |
+
lora_rank: 0
|
| 562 |
+
path: Qwen/Qwen3-8B
|
| 563 |
+
target_modules: all-linear
|
| 564 |
+
tiled_mlp:
|
| 565 |
+
enabled: false
|
| 566 |
+
num_shards: 4
|
| 567 |
+
tokenizer_path: Qwen/Qwen3-8B
|
| 568 |
+
trust_remote_code: true
|
| 569 |
+
use_remove_padding: false
|
| 570 |
+
use_shm: false
|
| 571 |
+
optim:
|
| 572 |
+
_target_: verl.workers.config.FSDPOptimizerConfig
|
| 573 |
+
betas:
|
| 574 |
+
- 0.9
|
| 575 |
+
- 0.999
|
| 576 |
+
clip_grad: 1
|
| 577 |
+
lr: 1e-05
|
| 578 |
+
lr_scheduler_type: constant
|
| 579 |
+
lr_warmup_steps: -1
|
| 580 |
+
lr_warmup_steps_ratio: 0
|
| 581 |
+
min_lr_ratio: 0
|
| 582 |
+
num_cycles: 0.5
|
| 583 |
+
optimizer: AdamW
|
| 584 |
+
optimizer_impl: torch.optim
|
| 585 |
+
override_optimizer_config: null
|
| 586 |
+
total_training_steps: 100
|
| 587 |
+
warmup_style: null
|
| 588 |
+
weight_decay: 0.01
|
| 589 |
+
ppo_epochs: 1
|
| 590 |
+
ppo_max_token_len_per_gpu: 32768
|
| 591 |
+
ppo_micro_batch_size: null
|
| 592 |
+
ppo_micro_batch_size_per_gpu: null
|
| 593 |
+
ppo_mini_batch_size: 32
|
| 594 |
+
profiler:
|
| 595 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 596 |
+
all_ranks: false
|
| 597 |
+
enable: false
|
| 598 |
+
ranks: []
|
| 599 |
+
save_path: outputs/profile
|
| 600 |
+
tool: null
|
| 601 |
+
tool_config:
|
| 602 |
+
npu:
|
| 603 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 604 |
+
analysis: true
|
| 605 |
+
contents: []
|
| 606 |
+
discrete: false
|
| 607 |
+
level: level0
|
| 608 |
+
nsys:
|
| 609 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 610 |
+
discrete: false
|
| 611 |
+
torch:
|
| 612 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 613 |
+
step_end: null
|
| 614 |
+
step_start: 0
|
| 615 |
+
torch_memory:
|
| 616 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 617 |
+
stack_depth: 32
|
| 618 |
+
trace_alloc_max_entries: 100000
|
| 619 |
+
rollout_n: 8
|
| 620 |
+
shuffle: false
|
| 621 |
+
strategy: fsdp
|
| 622 |
+
ulysses_sequence_parallel_size: 1
|
| 623 |
+
use_dynamic_bsz: false
|
| 624 |
+
custom_reward_function:
|
| 625 |
+
value:
|
| 626 |
+
name: compute_score
|
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experiment_name: qwen3gen-physics-SRPO-Qwen-Qwen3-8B-mbs32-ema0.05-dwtrue-train64-rollout8-lr5e-6-vllm0.8
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task: datasets/sciknoweval/physics
|
artifacts/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
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x":17838,"timing_per_token_ms/update_actor":0.26747411290190554,"response_length_non_aborted/max":9,"timing_s/old_log_prob":5.638724030926824,"val-aux/sciknoweval/incorrect_format/maj@2/std":0,"val-aux/sciknoweval/score/best@16/std":0.0360263051923955,"critic/rewards/min":0,"val-aux/sciknoweval/score/best@8/std":0.05497724560048793,"val-aux/sciknoweval/reward/best@2/std":0.11227408039344582,"timing_s/agent_loop/generate_sequences/mean":0.5576346053821908,"val-aux/sciknoweval/reward/worst@8/std":0.03064943045484151,"val-aux/sciknoweval/incorrect_format/worst@4/mean":1,"timing_s/agent_loop/slowest/prompt_length":246,"self_distillation/feedback_used_fraction":0,"val-aux/sciknoweval/incorrect_format/std@16":0,"val-aux/sciknoweval/acc/worst@2/mean":0.5130125,"val-aux/num_turns/max":2,"val-aux/sciknoweval/reward/best@2/mean":0.6205874999999998,"self_distillation/correct_sample_fraction":0.908203125,"_runtime":6715.864450402,"val-aux/sciknoweval/acc/maj@8/mean":0.57555,"val-aux/sciknoweval/incorrect_format/maj@4/mean":1,"val-aux/sciknoweval/score/maj@16/mean":0.5824875,"training/rollout_probs_diff_mean":0.00017714750720188022,"rollout_corr/k3_kl":9.931647132828056e-05,"val-aux/sciknoweval/reward/maj@2/std":0.12450096179146222,"rollout_corr/rollout_log_ppl":0.022921377121591036,"val-aux/num_turns/min":2,"rollout_corr/rollout_is_ratio_fraction_high":0,"rollout_corr/log_ppl_diff_max":0.061730533838272095,"val-aux/sciknoweval/reward/mean@16":0.56640625,"response_length_non_aborted/mean":9,"val-core/sciknoweval/acc/best@16/std":0.0360263051923955,"val-aux/sciknoweval/score/best@8/mean":0.6964750000000001,"val-aux/sciknoweval/score/maj@2/std":0.12450096179146222,"rollout_corr/rollout_is_max":1.0562994480133057,"training/rollout_probs_diff_max":0.0305178165435791,"val-aux/sciknoweval/incorrect_format/maj@16/std":0,"response_length/min":9,"timing_s/agent_loop/slowest/response_length":9,"timing_s/save_checkpoint":13.02292731590569,"val-aux/sciknoweval/incorrect_format/worst@8/std":0,"actor/lr":5e-06,"rollout_corr/log_ppl_abs_diff":0.001357562078183605,"val-aux/sciknoweval/incorrect_format/worst@16/std":0,"timing_s/agent_loop/generate_sequences/max":0.7521936371922493,"self_distillation/dynamic_weight_max":1.077512502670288,"critic/returns/max":0.875,"training/epoch":9,"val-aux/sciknoweval/score/worst@4/mean":0.47104999999999997,"val-aux/sciknoweval/acc/worst@4/mean":0.47104999999999997,"self_distillation/reprompt_sample_fraction":0.966796875,"srpo/sdpo_sample_fraction":0.060546875,"val-aux/sciknoweval/acc/maj@8/std":0.08492580467409698,"critic/advantages/mean":0,"val-aux/sciknoweval/reward/best@8/mean":0.6964750000000001,"prompt_length/max":364,"timing_s/step":52.71514766290784,"val-aux/sciknoweval/reward/worst@8/mean":0.4475874999999999,"srpo/grpo_actor/pg_clipfrac_lower":0,"val-aux/sciknoweval/acc/worst@16/mean":0.4392875,"val-aux/sciknoweval/incorrect_format/worst@2/std":0,"num_turns/min":2,"timing_s/agent_loop/generate_sequences/min":0.292211327701807,"_step":100,"rollout_corr/training_ppl":1.0261715280357748,"val-aux/sciknoweval/score/maj@4/std":0.105925191057944,"srpo/grpo_actor/pg_clipfrac":0,"perf/cpu_memory_used_gb":209.21287298202515,"val-aux/sciknoweval/incorrect_format/mean@16":1,"actor/grad_norm":0.2404324859380722,"rollout_corr/rollout_is_seq_mean":0.9999836683273315,"val-aux/sciknoweval/reward/worst@2/std":0.10116863507381033,"perf/total_num_tokens":142704,"perf/max_memory_reserved_gb":160.453125,"val-aux/sciknoweval/score/best@2/std":0.11227408039344582,"val-aux/sciknoweval/acc/worst@4/std":0.06455285989739748,"val-aux/sciknoweval/acc/worst@8/mean":0.4475874999999999,"training/global_step":100,"val-aux/sciknoweval/score/worst@16/std":0.008300168493974646,"training/rollout_probs_diff_valid":1,"timing_s/stop_profile":0.0002047717571258545,"val-aux/sciknoweval/reward/worst@4/std":0.06455285989739748,"response/aborted_ratio":0,"val-aux/sciknoweval/acc/maj@2/std":0.12450096179146222,"num_turns/max":2,"_timestamp":1.782844877364651e+09,"srpo/grpo_sample_fraction":0.939453125,"val-aux/sciknoweval/incorrect_format/worst@8/mean":1,"val-aux/sciknoweval/acc/best@2/std":0.11227408039344582,"val-aux/sciknoweval/score/mean@16":0.56640625,"val-core/sciknoweval/acc/maj@16/mean":0.5824875,"timing_s/agent_loop/tool_calls/mean":0,"num_turns/mean":2,"critic/rewards/mean":0.908203125,"val-aux/sciknoweval/incorrect_format/best@2/std":0,"val-aux/sciknoweval/acc/best@2/mean":0.6205874999999998,"timing_s/gen":7.826420972123742,"val-aux/sciknoweval/score/best@4/std":0.08339764337674944,"val-aux/sciknoweval/incorrect_format/best@4/std":0,"val-aux/sciknoweval/score/maj@8/mean":0.57555,"actor/entropy":0.02746894210577011,"val-aux/sciknoweval/incorrect_format/best@16/std":0,"val-aux/sciknoweval/score/worst@16/mean":0.4392875,"val-aux/sciknoweval/acc/best@4/std":0.08339764337674944,"val-aux/sciknoweval/incorrect_format/maj@8/std":0,"rollout_corr/rollout_is_seq_max_deviation":0.011435627937316895,"val-aux/sciknoweval/score/maj@8/std":0.08492580467409698,"rollout_corr/ppl_ratio":1.0002620946615934,"val-aux/sciknoweval/score/worst@2/mean":0.5130125,"val-aux/sciknoweval/acc/best@8/std":0.05497724560048793,"rollout_corr/rollout_is_seq_max":1.0062555074691772,"val-aux/sciknoweval/acc/maj@4/std":0.105925191057944,"rollout_corr/rollout_is_mean":0.9999836683273315,"val-aux/sciknoweval/reward/maj@2/mean":0.5664625,"rollout_corr/rollout_is_seq_fraction_low":0,"val-aux/sciknoweval/reward/maj@8/std":0.08492580467409698,"val-aux/sciknoweval/acc/maj@4/mean":0.5706749999999999,"critic/rewards/max":1,"critic/returns/min":-0.875,"response_length_non_aborted/min":9,"perf/mfu/actor":0.024042037979080937,"rollout_corr/kl":0.00024952150187660706,"global_seqlen/max":18760,"rollout_corr/log_ppl_diff_min":-0.01926768571138382,"val-aux/sciknoweval/score/maj@4/mean":0.5706749999999999,"actor/kl_loss":0,"self_distillation/feedback_available_fraction":0,"timing_s/agent_loop/tool_calls/max":0,"timing_s/update_actor":38.16962580755353,"self_distillation/success_group_fraction":0.96875}
|
chat_template.jinja
ADDED
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| 1 |
+
{%- if tools %}
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| 2 |
+
{{- '<|im_start|>system\n' }}
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| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
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| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
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| 8 |
+
{{- "\n" }}
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| 9 |
+
{{- tool | tojson }}
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| 10 |
+
{%- endfor %}
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| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
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| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
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| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
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| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,68 @@
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"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 396 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 397 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 398 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 399 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
| 400 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 401 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 402 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
| 403 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 404 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 405 |
+
"model.norm.weight": "model-00001-of-00004.safetensors"
|
| 406 |
+
}
|
| 407 |
+
}
|
results/training_score.png
ADDED
|
Git LFS Details
|
results/training_scores.csv
ADDED
|
@@ -0,0 +1,91 @@
|
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|
| 1 |
+
step,critic_score_mean
|
| 2 |
+
1,0.583984375
|
| 3 |
+
2,0.5546875
|
| 4 |
+
3,0.666015625
|
| 5 |
+
4,0.71875
|
| 6 |
+
5,0.6484375
|
| 7 |
+
6,0.6171875
|
| 8 |
+
7,0.578125
|
| 9 |
+
8,0.701171875
|
| 10 |
+
9,0.544921875
|
| 11 |
+
11,0.677734375
|
| 12 |
+
12,0.59375
|
| 13 |
+
13,0.7265625
|
| 14 |
+
14,0.724609375
|
| 15 |
+
15,0.748046875
|
| 16 |
+
16,0.6875
|
| 17 |
+
17,0.78515625
|
| 18 |
+
18,0.642578125
|
| 19 |
+
19,0.625
|
| 20 |
+
21,0.73046875
|
| 21 |
+
22,0.73828125
|
| 22 |
+
23,0.7265625
|
| 23 |
+
24,0.78515625
|
| 24 |
+
25,0.74609375
|
| 25 |
+
26,0.7265625
|
| 26 |
+
27,0.787109375
|
| 27 |
+
28,0.796875
|
| 28 |
+
29,0.71484375
|
| 29 |
+
31,0.7578125
|
| 30 |
+
32,0.70703125
|
| 31 |
+
33,0.875
|
| 32 |
+
34,0.736328125
|
| 33 |
+
35,0.8046875
|
| 34 |
+
36,0.828125
|
| 35 |
+
37,0.791015625
|
| 36 |
+
38,0.86328125
|
| 37 |
+
39,0.787109375
|
| 38 |
+
41,0.77734375
|
| 39 |
+
42,0.68359375
|
| 40 |
+
43,0.533203125
|
| 41 |
+
44,0.326171875
|
| 42 |
+
45,0.458984375
|
| 43 |
+
46,0.580078125
|
| 44 |
+
47,0.5703125
|
| 45 |
+
48,0.53515625
|
| 46 |
+
49,0.568359375
|
| 47 |
+
51,0.529296875
|
| 48 |
+
52,0.599609375
|
| 49 |
+
53,0.537109375
|
| 50 |
+
54,0.623046875
|
| 51 |
+
55,0.60546875
|
| 52 |
+
56,0.6640625
|
| 53 |
+
57,0.712890625
|
| 54 |
+
58,0.7578125
|
| 55 |
+
59,0.7421875
|
| 56 |
+
61,0.73046875
|
| 57 |
+
62,0.544921875
|
| 58 |
+
63,0.546875
|
| 59 |
+
64,0.671875
|
| 60 |
+
65,0.693359375
|
| 61 |
+
66,0.701171875
|
| 62 |
+
67,0.71484375
|
| 63 |
+
68,0.8515625
|
| 64 |
+
69,0.798828125
|
| 65 |
+
71,0.81640625
|
| 66 |
+
72,0.78125
|
| 67 |
+
73,0.796875
|
| 68 |
+
74,0.833984375
|
| 69 |
+
75,0.7890625
|
| 70 |
+
76,0.810546875
|
| 71 |
+
77,0.76171875
|
| 72 |
+
78,0.8515625
|
| 73 |
+
79,0.7109375
|
| 74 |
+
81,0.869140625
|
| 75 |
+
82,0.841796875
|
| 76 |
+
83,0.82421875
|
| 77 |
+
84,0.87109375
|
| 78 |
+
85,0.787109375
|
| 79 |
+
86,0.857421875
|
| 80 |
+
87,0.80078125
|
| 81 |
+
88,0.796875
|
| 82 |
+
89,0.873046875
|
| 83 |
+
91,0.814453125
|
| 84 |
+
92,0.8515625
|
| 85 |
+
93,0.822265625
|
| 86 |
+
94,0.921875
|
| 87 |
+
95,0.8515625
|
| 88 |
+
96,0.830078125
|
| 89 |
+
97,0.79296875
|
| 90 |
+
98,0.8125
|
| 91 |
+
99,0.798828125
|
results/validation_mean16.csv
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
| 1 |
+
step,val_mean16
|
| 2 |
+
10,0.62734375
|
| 3 |
+
20,0.65625
|
| 4 |
+
30,0.69453125
|
| 5 |
+
40,0.71328125
|
| 6 |
+
50,0.59140625
|
| 7 |
+
60,0.5109375
|
| 8 |
+
70,0.5953125
|
| 9 |
+
80,0.62578125
|
| 10 |
+
90,0.5984375
|
| 11 |
+
100,0.56640625
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
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|
|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,239 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
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"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
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"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
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"single_word": false,
|
| 51 |
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"special": true
|
| 52 |
+
},
|
| 53 |
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"151649": {
|
| 54 |
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"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
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"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"clean_up_tokenization_spaces": false,
|
| 231 |
+
"eos_token": "<|im_end|>",
|
| 232 |
+
"errors": "replace",
|
| 233 |
+
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 131072,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"split_special_tokens": false,
|
| 237 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 238 |
+
"unk_token": null
|
| 239 |
+
}
|
vocab.json
ADDED
|
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|
|
|