GRPO training complete — smart contract security auditor
Browse files- README.md +47 -180
- checkpoint-300/chat_template.jinja +54 -0
- checkpoint-300/config.json +57 -0
- checkpoint-300/generation_config.json +13 -0
- checkpoint-300/model.safetensors +3 -0
- checkpoint-300/optimizer.pt +3 -0
- checkpoint-300/rng_state.pth +3 -0
- checkpoint-300/scheduler.pt +3 -0
- checkpoint-300/tokenizer.json +3 -0
- checkpoint-300/tokenizer_config.json +32 -0
- checkpoint-300/trainer_state.json +1803 -0
- checkpoint-300/training_args.bin +3 -0
- checkpoint-326/chat_template.jinja +54 -0
- checkpoint-326/config.json +57 -0
- checkpoint-326/generation_config.json +13 -0
- checkpoint-326/model.safetensors +3 -0
- checkpoint-326/optimizer.pt +3 -0
- checkpoint-326/rng_state.pth +3 -0
- checkpoint-326/scheduler.pt +3 -0
- checkpoint-326/tokenizer.json +3 -0
- checkpoint-326/tokenizer_config.json +32 -0
- checkpoint-326/trainer_state.json +1948 -0
- checkpoint-326/training_args.bin +3 -0
- model.safetensors +1 -1
- training_args.bin +3 -0
README.md
CHANGED
|
@@ -1,201 +1,68 @@
|
|
| 1 |
---
|
|
|
|
| 2 |
library_name: transformers
|
|
|
|
| 3 |
tags:
|
| 4 |
-
-
|
| 5 |
- grpo
|
|
|
|
|
|
|
|
|
|
| 6 |
---
|
| 7 |
|
| 8 |
-
# Model Card for
|
| 9 |
-
|
| 10 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
## Model Details
|
| 15 |
-
|
| 16 |
-
### Model Description
|
| 17 |
-
|
| 18 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
-
|
| 20 |
-
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 21 |
-
|
| 22 |
-
- **Developed by:** [More Information Needed]
|
| 23 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
-
- **Model type:** [More Information Needed]
|
| 26 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
-
- **License:** [More Information Needed]
|
| 28 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
-
|
| 30 |
-
### Model Sources [optional]
|
| 31 |
-
|
| 32 |
-
<!-- Provide the basic links for the model. -->
|
| 33 |
-
|
| 34 |
-
- **Repository:** [More Information Needed]
|
| 35 |
-
- **Paper [optional]:** [More Information Needed]
|
| 36 |
-
- **Demo [optional]:** [More Information Needed]
|
| 37 |
-
|
| 38 |
-
## Uses
|
| 39 |
-
|
| 40 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
-
|
| 42 |
-
### Direct Use
|
| 43 |
-
|
| 44 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
-
|
| 46 |
-
[More Information Needed]
|
| 47 |
-
|
| 48 |
-
### Downstream Use [optional]
|
| 49 |
-
|
| 50 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
-
|
| 52 |
-
[More Information Needed]
|
| 53 |
-
|
| 54 |
-
### Out-of-Scope Use
|
| 55 |
-
|
| 56 |
-
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
-
|
| 58 |
-
[More Information Needed]
|
| 59 |
-
|
| 60 |
-
## Bias, Risks, and Limitations
|
| 61 |
-
|
| 62 |
-
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
-
|
| 64 |
-
[More Information Needed]
|
| 65 |
-
|
| 66 |
-
### Recommendations
|
| 67 |
-
|
| 68 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
-
|
| 70 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
-
|
| 72 |
-
## How to Get Started with the Model
|
| 73 |
-
|
| 74 |
-
Use the code below to get started with the model.
|
| 75 |
-
|
| 76 |
-
[More Information Needed]
|
| 77 |
-
|
| 78 |
-
## Training Details
|
| 79 |
-
|
| 80 |
-
### Training Data
|
| 81 |
-
|
| 82 |
-
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
-
|
| 84 |
-
[More Information Needed]
|
| 85 |
-
|
| 86 |
-
### Training Procedure
|
| 87 |
-
|
| 88 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
-
|
| 90 |
-
#### Preprocessing [optional]
|
| 91 |
-
|
| 92 |
-
[More Information Needed]
|
| 93 |
-
|
| 94 |
-
|
| 95 |
-
#### Training Hyperparameters
|
| 96 |
-
|
| 97 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
-
|
| 99 |
-
#### Speeds, Sizes, Times [optional]
|
| 100 |
-
|
| 101 |
-
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
-
|
| 103 |
-
[More Information Needed]
|
| 104 |
-
|
| 105 |
-
## Evaluation
|
| 106 |
-
|
| 107 |
-
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
-
|
| 109 |
-
### Testing Data, Factors & Metrics
|
| 110 |
-
|
| 111 |
-
#### Testing Data
|
| 112 |
-
|
| 113 |
-
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
-
|
| 115 |
-
[More Information Needed]
|
| 116 |
-
|
| 117 |
-
#### Factors
|
| 118 |
-
|
| 119 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
-
|
| 121 |
-
[More Information Needed]
|
| 122 |
-
|
| 123 |
-
#### Metrics
|
| 124 |
-
|
| 125 |
-
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
-
|
| 127 |
-
[More Information Needed]
|
| 128 |
-
|
| 129 |
-
### Results
|
| 130 |
-
|
| 131 |
-
[More Information Needed]
|
| 132 |
-
|
| 133 |
-
#### Summary
|
| 134 |
-
|
| 135 |
-
|
| 136 |
-
|
| 137 |
-
## Model Examination [optional]
|
| 138 |
-
|
| 139 |
-
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
-
|
| 141 |
-
[More Information Needed]
|
| 142 |
-
|
| 143 |
-
## Environmental Impact
|
| 144 |
-
|
| 145 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
-
|
| 147 |
-
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
-
|
| 149 |
-
- **Hardware Type:** [More Information Needed]
|
| 150 |
-
- **Hours used:** [More Information Needed]
|
| 151 |
-
- **Cloud Provider:** [More Information Needed]
|
| 152 |
-
- **Compute Region:** [More Information Needed]
|
| 153 |
-
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
-
|
| 155 |
-
## Technical Specifications [optional]
|
| 156 |
-
|
| 157 |
-
### Model Architecture and Objective
|
| 158 |
-
|
| 159 |
-
[More Information Needed]
|
| 160 |
-
|
| 161 |
-
### Compute Infrastructure
|
| 162 |
-
|
| 163 |
-
[More Information Needed]
|
| 164 |
-
|
| 165 |
-
#### Hardware
|
| 166 |
-
|
| 167 |
-
[More Information Needed]
|
| 168 |
-
|
| 169 |
-
#### Software
|
| 170 |
-
|
| 171 |
-
[More Information Needed]
|
| 172 |
|
| 173 |
-
|
|
|
|
| 174 |
|
| 175 |
-
|
| 176 |
|
| 177 |
-
|
|
|
|
| 178 |
|
| 179 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 180 |
|
| 181 |
-
|
| 182 |
|
| 183 |
-
|
| 184 |
|
| 185 |
-
## Glossary [optional]
|
| 186 |
|
| 187 |
-
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
|
| 189 |
-
[
|
| 190 |
|
| 191 |
-
##
|
| 192 |
|
| 193 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 194 |
|
| 195 |
-
##
|
| 196 |
|
| 197 |
-
|
| 198 |
|
| 199 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 200 |
|
| 201 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
|
| 3 |
library_name: transformers
|
| 4 |
+
model_name: grpo_output
|
| 5 |
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
- grpo
|
| 8 |
+
- hf_jobs
|
| 9 |
+
- trl
|
| 10 |
+
licence: license
|
| 11 |
---
|
| 12 |
|
| 13 |
+
# Model Card for grpo_output
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
|
| 15 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct).
|
| 16 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 17 |
|
| 18 |
+
## Quick start
|
| 19 |
|
| 20 |
+
```python
|
| 21 |
+
from transformers import pipeline
|
| 22 |
|
| 23 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
| 24 |
+
generator = pipeline("text-generation", model="None", device="cuda")
|
| 25 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 26 |
+
print(output["generated_text"])
|
| 27 |
+
```
|
| 28 |
|
| 29 |
+
## Training procedure
|
| 30 |
|
| 31 |
+
|
| 32 |
|
|
|
|
| 33 |
|
|
|
|
| 34 |
|
| 35 |
+
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
| 36 |
|
| 37 |
+
### Framework versions
|
| 38 |
|
| 39 |
+
- TRL: 1.2.0
|
| 40 |
+
- Transformers: 5.6.2
|
| 41 |
+
- Pytorch: 2.6.0+cu126
|
| 42 |
+
- Datasets: 4.8.4
|
| 43 |
+
- Tokenizers: 0.22.2
|
| 44 |
|
| 45 |
+
## Citations
|
| 46 |
|
| 47 |
+
Cite GRPO as:
|
| 48 |
|
| 49 |
+
```bibtex
|
| 50 |
+
@article{shao2024deepseekmath,
|
| 51 |
+
title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
|
| 52 |
+
author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
|
| 53 |
+
year = 2024,
|
| 54 |
+
eprint = {arXiv:2402.03300},
|
| 55 |
+
}
|
| 56 |
+
```
|
| 57 |
|
| 58 |
+
Cite TRL as:
|
| 59 |
+
|
| 60 |
+
```bibtex
|
| 61 |
+
@software{vonwerra2020trl,
|
| 62 |
+
title = {{TRL: Transformers Reinforcement Learning}},
|
| 63 |
+
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
|
| 64 |
+
license = {Apache-2.0},
|
| 65 |
+
url = {https://github.com/huggingface/trl},
|
| 66 |
+
year = {2020}
|
| 67 |
+
}
|
| 68 |
+
```
|
checkpoint-300/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
checkpoint-300/config.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": null,
|
| 7 |
+
"dtype": "float32",
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 896,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 4864,
|
| 13 |
+
"layer_types": [
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention"
|
| 38 |
+
],
|
| 39 |
+
"max_position_embeddings": 32768,
|
| 40 |
+
"max_window_layers": 24,
|
| 41 |
+
"model_type": "qwen2",
|
| 42 |
+
"num_attention_heads": 14,
|
| 43 |
+
"num_hidden_layers": 24,
|
| 44 |
+
"num_key_value_heads": 2,
|
| 45 |
+
"pad_token_id": 151643,
|
| 46 |
+
"rms_norm_eps": 1e-06,
|
| 47 |
+
"rope_parameters": {
|
| 48 |
+
"rope_theta": 1000000.0,
|
| 49 |
+
"rope_type": "default"
|
| 50 |
+
},
|
| 51 |
+
"sliding_window": null,
|
| 52 |
+
"tie_word_embeddings": true,
|
| 53 |
+
"transformers_version": "5.6.2",
|
| 54 |
+
"use_cache": false,
|
| 55 |
+
"use_sliding_window": false,
|
| 56 |
+
"vocab_size": 151936
|
| 57 |
+
}
|
checkpoint-300/generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_sample": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151645,
|
| 5 |
+
151643
|
| 6 |
+
],
|
| 7 |
+
"pad_token_id": 151643,
|
| 8 |
+
"repetition_penalty": 1.05,
|
| 9 |
+
"temperature": 0.7,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.8,
|
| 12 |
+
"transformers_version": "5.6.2"
|
| 13 |
+
}
|
checkpoint-300/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:275ebac6d53742a54d972d5a2fdf93a64ab774cf50af3c817e02a1376655c840
|
| 3 |
+
size 1976163472
|
checkpoint-300/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3577491d619a3e9b2d76cba84e6eee9cdffd5bb2784ebc6a1e3453f2ce9f8021
|
| 3 |
+
size 3952505274
|
checkpoint-300/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa9a1789e81962b242729edabc19959b88ccde1eb3dfdbc7cd826e14f85a76f9
|
| 3 |
+
size 14244
|
checkpoint-300/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:262427cf509faa4beebbf93a0c170cf18cb00c5f988d14d843ea44ed3b3c2cae
|
| 3 |
+
size 1064
|
checkpoint-300/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
checkpoint-300/tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"local_files_only": false,
|
| 25 |
+
"model_max_length": 32768,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"padding_side": "left",
|
| 28 |
+
"split_special_tokens": false,
|
| 29 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 30 |
+
"truncation_side": "left",
|
| 31 |
+
"unk_token": null
|
| 32 |
+
}
|
checkpoint-300/trainer_state.json
ADDED
|
@@ -0,0 +1,1803 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.8404907975460123,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 300,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.75,
|
| 19 |
+
"completions/max_length": 512.0,
|
| 20 |
+
"completions/max_terminated_length": 37.0,
|
| 21 |
+
"completions/mean_length": 393.25,
|
| 22 |
+
"completions/mean_terminated_length": 37.0,
|
| 23 |
+
"completions/min_length": 37.0,
|
| 24 |
+
"completions/min_terminated_length": 37.0,
|
| 25 |
+
"entropy": 1.4897738695144653,
|
| 26 |
+
"epoch": 0.006134969325153374,
|
| 27 |
+
"frac_reward_zero_std": 0.5,
|
| 28 |
+
"grad_norm": 2.2988293170928955,
|
| 29 |
+
"learning_rate": 5e-07,
|
| 30 |
+
"loss": -0.21252349019050598,
|
| 31 |
+
"num_tokens": 3567.0,
|
| 32 |
+
"reward": -0.3424999713897705,
|
| 33 |
+
"reward_std": 0.01500000525265932,
|
| 34 |
+
"rewards/format_reward/mean": 0.02500000037252903,
|
| 35 |
+
"rewards/format_reward/std": 0.05000000074505806,
|
| 36 |
+
"rewards/security_audit_reward/mean": -0.5,
|
| 37 |
+
"rewards/security_audit_reward/std": 0.0,
|
| 38 |
+
"step": 1,
|
| 39 |
+
"step_time": 39.508622552999896
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"clip_ratio/high_max": 0.0,
|
| 43 |
+
"clip_ratio/high_mean": 0.0,
|
| 44 |
+
"clip_ratio/low_mean": 0.0,
|
| 45 |
+
"clip_ratio/low_min": 0.0,
|
| 46 |
+
"clip_ratio/region_mean": 0.0,
|
| 47 |
+
"completions/clipped_ratio": 0.5,
|
| 48 |
+
"completions/max_length": 512.0,
|
| 49 |
+
"completions/max_terminated_length": 248.75,
|
| 50 |
+
"completions/mean_length": 389.625,
|
| 51 |
+
"completions/mean_terminated_length": 192.79166793823242,
|
| 52 |
+
"completions/min_length": 272.75,
|
| 53 |
+
"completions/min_terminated_length": 144.75,
|
| 54 |
+
"entropy": 1.363443061709404,
|
| 55 |
+
"epoch": 0.03067484662576687,
|
| 56 |
+
"frac_reward_zero_std": 0.375,
|
| 57 |
+
"grad_norm": 4.688082218170166,
|
| 58 |
+
"learning_rate": 4.938650306748465e-07,
|
| 59 |
+
"loss": 0.04808004945516586,
|
| 60 |
+
"num_tokens": 17675.0,
|
| 61 |
+
"reward": -0.2981249839067459,
|
| 62 |
+
"reward_std": 0.08178356755524874,
|
| 63 |
+
"rewards/format_reward/mean": 0.10000000381842256,
|
| 64 |
+
"rewards/format_reward/std": 0.12774468399584293,
|
| 65 |
+
"rewards/security_audit_reward/mean": -0.46875,
|
| 66 |
+
"rewards/security_audit_reward/std": 0.0625,
|
| 67 |
+
"step": 5,
|
| 68 |
+
"step_time": 38.500043476749966
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"clip_ratio/high_max": 0.0,
|
| 72 |
+
"clip_ratio/high_mean": 0.0,
|
| 73 |
+
"clip_ratio/low_mean": 0.0,
|
| 74 |
+
"clip_ratio/low_min": 0.0,
|
| 75 |
+
"clip_ratio/region_mean": 0.0,
|
| 76 |
+
"completions/clipped_ratio": 0.65,
|
| 77 |
+
"completions/max_length": 512.0,
|
| 78 |
+
"completions/max_terminated_length": 345.6,
|
| 79 |
+
"completions/mean_length": 463.0,
|
| 80 |
+
"completions/mean_terminated_length": 305.6,
|
| 81 |
+
"completions/min_length": 363.8,
|
| 82 |
+
"completions/min_terminated_length": 261.4,
|
| 83 |
+
"entropy": 1.4113845229148865,
|
| 84 |
+
"epoch": 0.06134969325153374,
|
| 85 |
+
"frac_reward_zero_std": 0.4,
|
| 86 |
+
"grad_norm": 3.245452880859375,
|
| 87 |
+
"learning_rate": 4.86196319018405e-07,
|
| 88 |
+
"loss": -0.00041331946849823,
|
| 89 |
+
"num_tokens": 37093.0,
|
| 90 |
+
"reward": -0.29424998760223386,
|
| 91 |
+
"reward_std": 0.08391451295465231,
|
| 92 |
+
"rewards/format_reward/mean": 0.12750000804662703,
|
| 93 |
+
"rewards/format_reward/std": 0.16304838731884957,
|
| 94 |
+
"rewards/security_audit_reward/mean": -0.475,
|
| 95 |
+
"rewards/security_audit_reward/std": 0.05,
|
| 96 |
+
"step": 10,
|
| 97 |
+
"step_time": 39.192330704800135
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"clip_ratio/high_max": 0.0,
|
| 101 |
+
"clip_ratio/high_mean": 0.0,
|
| 102 |
+
"clip_ratio/low_mean": 0.0,
|
| 103 |
+
"clip_ratio/low_min": 0.0,
|
| 104 |
+
"clip_ratio/region_mean": 0.0,
|
| 105 |
+
"completions/clipped_ratio": 0.6,
|
| 106 |
+
"completions/max_length": 512.0,
|
| 107 |
+
"completions/max_terminated_length": 394.0,
|
| 108 |
+
"completions/mean_length": 455.5,
|
| 109 |
+
"completions/mean_terminated_length": 352.9,
|
| 110 |
+
"completions/min_length": 311.8,
|
| 111 |
+
"completions/min_terminated_length": 311.8,
|
| 112 |
+
"entropy": 1.179759132862091,
|
| 113 |
+
"epoch": 0.09202453987730061,
|
| 114 |
+
"frac_reward_zero_std": 0.7,
|
| 115 |
+
"grad_norm": 2.9624693393707275,
|
| 116 |
+
"learning_rate": 4.785276073619632e-07,
|
| 117 |
+
"loss": 0.03452911972999573,
|
| 118 |
+
"num_tokens": 55311.0,
|
| 119 |
+
"reward": -0.2887499898672104,
|
| 120 |
+
"reward_std": 0.09658594038337469,
|
| 121 |
+
"rewards/format_reward/mean": 0.0875,
|
| 122 |
+
"rewards/format_reward/std": 0.08947573080658913,
|
| 123 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 124 |
+
"rewards/security_audit_reward/std": 0.1,
|
| 125 |
+
"step": 15,
|
| 126 |
+
"step_time": 38.30515608799997
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"clip_ratio/high_max": 0.0,
|
| 130 |
+
"clip_ratio/high_mean": 0.0,
|
| 131 |
+
"clip_ratio/low_mean": 0.0,
|
| 132 |
+
"clip_ratio/low_min": 0.0,
|
| 133 |
+
"clip_ratio/region_mean": 0.0,
|
| 134 |
+
"completions/clipped_ratio": 0.45,
|
| 135 |
+
"completions/max_length": 512.0,
|
| 136 |
+
"completions/max_terminated_length": 395.2,
|
| 137 |
+
"completions/mean_length": 416.9,
|
| 138 |
+
"completions/mean_terminated_length": 328.76666870117185,
|
| 139 |
+
"completions/min_length": 260.8,
|
| 140 |
+
"completions/min_terminated_length": 260.8,
|
| 141 |
+
"entropy": 1.298638153076172,
|
| 142 |
+
"epoch": 0.12269938650306748,
|
| 143 |
+
"frac_reward_zero_std": 0.2,
|
| 144 |
+
"grad_norm": 4.034470081329346,
|
| 145 |
+
"learning_rate": 4.7085889570552147e-07,
|
| 146 |
+
"loss": -0.008246073126792907,
|
| 147 |
+
"num_tokens": 72771.0,
|
| 148 |
+
"reward": -0.23124998807907104,
|
| 149 |
+
"reward_std": 0.16768747363239528,
|
| 150 |
+
"rewards/format_reward/mean": 0.19750000424683095,
|
| 151 |
+
"rewards/format_reward/std": 0.2057904489338398,
|
| 152 |
+
"rewards/security_audit_reward/mean": -0.4149999976158142,
|
| 153 |
+
"rewards/security_audit_reward/std": 0.16999999880790712,
|
| 154 |
+
"step": 20,
|
| 155 |
+
"step_time": 37.87772348239996
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"clip_ratio/high_max": 0.0,
|
| 159 |
+
"clip_ratio/high_mean": 0.0,
|
| 160 |
+
"clip_ratio/low_mean": 0.0,
|
| 161 |
+
"clip_ratio/low_min": 0.0,
|
| 162 |
+
"clip_ratio/region_mean": 0.0,
|
| 163 |
+
"completions/clipped_ratio": 0.3,
|
| 164 |
+
"completions/max_length": 512.0,
|
| 165 |
+
"completions/max_terminated_length": 423.4,
|
| 166 |
+
"completions/mean_length": 382.1,
|
| 167 |
+
"completions/mean_terminated_length": 334.1000091552734,
|
| 168 |
+
"completions/min_length": 236.0,
|
| 169 |
+
"completions/min_terminated_length": 236.0,
|
| 170 |
+
"entropy": 1.317835807800293,
|
| 171 |
+
"epoch": 0.15337423312883436,
|
| 172 |
+
"frac_reward_zero_std": 0.3,
|
| 173 |
+
"grad_norm": 2.853423595428467,
|
| 174 |
+
"learning_rate": 4.631901840490797e-07,
|
| 175 |
+
"loss": -0.013739901781082153,
|
| 176 |
+
"num_tokens": 89889.0,
|
| 177 |
+
"reward": -0.2974999874830246,
|
| 178 |
+
"reward_std": 0.15671177953481674,
|
| 179 |
+
"rewards/format_reward/mean": 0.17500000596046447,
|
| 180 |
+
"rewards/format_reward/std": 0.18444484770298003,
|
| 181 |
+
"rewards/security_audit_reward/mean": -0.5,
|
| 182 |
+
"rewards/security_audit_reward/std": 0.15773502588272095,
|
| 183 |
+
"step": 25,
|
| 184 |
+
"step_time": 38.74009619139997
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"clip_ratio/high_max": 0.0,
|
| 188 |
+
"clip_ratio/high_mean": 0.0,
|
| 189 |
+
"clip_ratio/low_mean": 0.0,
|
| 190 |
+
"clip_ratio/low_min": 0.0,
|
| 191 |
+
"clip_ratio/region_mean": 0.0,
|
| 192 |
+
"completions/clipped_ratio": 0.65,
|
| 193 |
+
"completions/max_length": 512.0,
|
| 194 |
+
"completions/max_terminated_length": 346.0,
|
| 195 |
+
"completions/mean_length": 463.35,
|
| 196 |
+
"completions/mean_terminated_length": 295.3,
|
| 197 |
+
"completions/min_length": 337.8,
|
| 198 |
+
"completions/min_terminated_length": 235.4,
|
| 199 |
+
"entropy": 1.1444598376750945,
|
| 200 |
+
"epoch": 0.18404907975460122,
|
| 201 |
+
"frac_reward_zero_std": 0.2,
|
| 202 |
+
"grad_norm": 3.64375901222229,
|
| 203 |
+
"learning_rate": 4.55521472392638e-07,
|
| 204 |
+
"loss": -0.03970654606819153,
|
| 205 |
+
"num_tokens": 108664.0,
|
| 206 |
+
"reward": -0.3184999763965607,
|
| 207 |
+
"reward_std": 0.04019503518939018,
|
| 208 |
+
"rewards/format_reward/mean": 0.10499999970197678,
|
| 209 |
+
"rewards/format_reward/std": 0.13398344144225122,
|
| 210 |
+
"rewards/security_audit_reward/mean": -0.5,
|
| 211 |
+
"rewards/security_audit_reward/std": 0.0,
|
| 212 |
+
"step": 30,
|
| 213 |
+
"step_time": 38.56538706479987
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"clip_ratio/high_max": 0.0,
|
| 217 |
+
"clip_ratio/high_mean": 0.0,
|
| 218 |
+
"clip_ratio/low_mean": 0.0,
|
| 219 |
+
"clip_ratio/low_min": 0.0,
|
| 220 |
+
"clip_ratio/region_mean": 0.0,
|
| 221 |
+
"completions/clipped_ratio": 0.4,
|
| 222 |
+
"completions/max_length": 504.2,
|
| 223 |
+
"completions/max_terminated_length": 454.6,
|
| 224 |
+
"completions/mean_length": 421.25,
|
| 225 |
+
"completions/mean_terminated_length": 386.0,
|
| 226 |
+
"completions/min_length": 328.6,
|
| 227 |
+
"completions/min_terminated_length": 328.6,
|
| 228 |
+
"entropy": 1.3522289156913758,
|
| 229 |
+
"epoch": 0.2147239263803681,
|
| 230 |
+
"frac_reward_zero_std": 0.3,
|
| 231 |
+
"grad_norm": 3.4385552406311035,
|
| 232 |
+
"learning_rate": 4.4785276073619634e-07,
|
| 233 |
+
"loss": -0.06348788738250732,
|
| 234 |
+
"num_tokens": 126953.0,
|
| 235 |
+
"reward": -0.32824997901916503,
|
| 236 |
+
"reward_std": 0.03220053892582655,
|
| 237 |
+
"rewards/format_reward/mean": 0.07250000201165677,
|
| 238 |
+
"rewards/format_reward/std": 0.10733511671423912,
|
| 239 |
+
"rewards/security_audit_reward/mean": -0.5,
|
| 240 |
+
"rewards/security_audit_reward/std": 0.0,
|
| 241 |
+
"step": 35,
|
| 242 |
+
"step_time": 37.87626404739986
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"clip_ratio/high_max": 0.0,
|
| 246 |
+
"clip_ratio/high_mean": 0.0,
|
| 247 |
+
"clip_ratio/low_mean": 0.0,
|
| 248 |
+
"clip_ratio/low_min": 0.0,
|
| 249 |
+
"clip_ratio/region_mean": 0.0,
|
| 250 |
+
"completions/clipped_ratio": 0.55,
|
| 251 |
+
"completions/max_length": 505.2,
|
| 252 |
+
"completions/max_terminated_length": 334.4,
|
| 253 |
+
"completions/mean_length": 414.9,
|
| 254 |
+
"completions/mean_terminated_length": 240.3,
|
| 255 |
+
"completions/min_length": 243.0,
|
| 256 |
+
"completions/min_terminated_length": 140.6,
|
| 257 |
+
"entropy": 1.230024951696396,
|
| 258 |
+
"epoch": 0.24539877300613497,
|
| 259 |
+
"frac_reward_zero_std": 0.3,
|
| 260 |
+
"grad_norm": 4.400479793548584,
|
| 261 |
+
"learning_rate": 4.401840490797546e-07,
|
| 262 |
+
"loss": 0.11927952766418456,
|
| 263 |
+
"num_tokens": 144785.0,
|
| 264 |
+
"reward": -0.2897499829530716,
|
| 265 |
+
"reward_std": 0.12973095811903476,
|
| 266 |
+
"rewards/format_reward/mean": 0.14250000044703484,
|
| 267 |
+
"rewards/format_reward/std": 0.14365934804081917,
|
| 268 |
+
"rewards/security_audit_reward/mean": -0.475,
|
| 269 |
+
"rewards/security_audit_reward/std": 0.13164966106414794,
|
| 270 |
+
"step": 40,
|
| 271 |
+
"step_time": 37.8069536416001
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"clip_ratio/high_max": 0.0,
|
| 275 |
+
"clip_ratio/high_mean": 0.0,
|
| 276 |
+
"clip_ratio/low_mean": 0.0,
|
| 277 |
+
"clip_ratio/low_min": 0.0,
|
| 278 |
+
"clip_ratio/region_mean": 0.0,
|
| 279 |
+
"completions/clipped_ratio": 0.6,
|
| 280 |
+
"completions/max_length": 472.2,
|
| 281 |
+
"completions/max_terminated_length": 190.6,
|
| 282 |
+
"completions/mean_length": 412.7,
|
| 283 |
+
"completions/mean_terminated_length": 160.85,
|
| 284 |
+
"completions/min_length": 333.8,
|
| 285 |
+
"completions/min_terminated_length": 129.0,
|
| 286 |
+
"entropy": 1.2133947968482972,
|
| 287 |
+
"epoch": 0.27607361963190186,
|
| 288 |
+
"frac_reward_zero_std": 0.1,
|
| 289 |
+
"grad_norm": 4.325937271118164,
|
| 290 |
+
"learning_rate": 4.3251533742331285e-07,
|
| 291 |
+
"loss": 0.025146520137786864,
|
| 292 |
+
"num_tokens": 162443.0,
|
| 293 |
+
"reward": -0.1574999876320362,
|
| 294 |
+
"reward_std": 0.2636621415615082,
|
| 295 |
+
"rewards/format_reward/mean": 0.24500001072883607,
|
| 296 |
+
"rewards/format_reward/std": 0.23762110471725464,
|
| 297 |
+
"rewards/security_audit_reward/mean": -0.32999999523162843,
|
| 298 |
+
"rewards/security_audit_reward/std": 0.28574271202087403,
|
| 299 |
+
"step": 45,
|
| 300 |
+
"step_time": 34.90182834920015
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"clip_ratio/high_max": 0.0,
|
| 304 |
+
"clip_ratio/high_mean": 0.0,
|
| 305 |
+
"clip_ratio/low_mean": 0.0,
|
| 306 |
+
"clip_ratio/low_min": 0.0,
|
| 307 |
+
"clip_ratio/region_mean": 0.0,
|
| 308 |
+
"completions/clipped_ratio": 0.55,
|
| 309 |
+
"completions/max_length": 512.0,
|
| 310 |
+
"completions/max_terminated_length": 308.6,
|
| 311 |
+
"completions/mean_length": 397.05,
|
| 312 |
+
"completions/mean_terminated_length": 259.2,
|
| 313 |
+
"completions/min_length": 203.0,
|
| 314 |
+
"completions/min_terminated_length": 203.0,
|
| 315 |
+
"entropy": 1.4294291973114013,
|
| 316 |
+
"epoch": 0.3067484662576687,
|
| 317 |
+
"frac_reward_zero_std": 0.4,
|
| 318 |
+
"grad_norm": 3.9505743980407715,
|
| 319 |
+
"learning_rate": 4.2484662576687116e-07,
|
| 320 |
+
"loss": -0.08058007955551147,
|
| 321 |
+
"num_tokens": 180200.0,
|
| 322 |
+
"reward": -0.29249998927116394,
|
| 323 |
+
"reward_std": 0.10127481501549482,
|
| 324 |
+
"rewards/format_reward/mean": 0.0750000026077032,
|
| 325 |
+
"rewards/format_reward/std": 0.1127780631184578,
|
| 326 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 327 |
+
"rewards/security_audit_reward/std": 0.1,
|
| 328 |
+
"step": 50,
|
| 329 |
+
"step_time": 38.750808009400046
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"clip_ratio/high_max": 0.0,
|
| 333 |
+
"clip_ratio/high_mean": 0.0,
|
| 334 |
+
"clip_ratio/low_mean": 0.0,
|
| 335 |
+
"clip_ratio/low_min": 0.0,
|
| 336 |
+
"clip_ratio/region_mean": 0.0,
|
| 337 |
+
"completions/clipped_ratio": 0.5,
|
| 338 |
+
"completions/max_length": 512.0,
|
| 339 |
+
"completions/max_terminated_length": 389.8,
|
| 340 |
+
"completions/mean_length": 404.65,
|
| 341 |
+
"completions/mean_terminated_length": 297.43333740234374,
|
| 342 |
+
"completions/min_length": 192.8,
|
| 343 |
+
"completions/min_terminated_length": 192.8,
|
| 344 |
+
"entropy": 1.2564165532588958,
|
| 345 |
+
"epoch": 0.3374233128834356,
|
| 346 |
+
"frac_reward_zero_std": 0.3,
|
| 347 |
+
"grad_norm": 3.3762269020080566,
|
| 348 |
+
"learning_rate": 4.171779141104294e-07,
|
| 349 |
+
"loss": -0.030467823147773743,
|
| 350 |
+
"num_tokens": 198109.0,
|
| 351 |
+
"reward": -0.2542499825358391,
|
| 352 |
+
"reward_std": 0.07489922866225243,
|
| 353 |
+
"rewards/format_reward/mean": 0.20250000841915608,
|
| 354 |
+
"rewards/format_reward/std": 0.1368803471326828,
|
| 355 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 356 |
+
"rewards/security_audit_reward/std": 0.05773502588272095,
|
| 357 |
+
"step": 55,
|
| 358 |
+
"step_time": 38.411275500399825
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"clip_ratio/high_max": 0.0,
|
| 362 |
+
"clip_ratio/high_mean": 0.0,
|
| 363 |
+
"clip_ratio/low_mean": 0.0,
|
| 364 |
+
"clip_ratio/low_min": 0.0,
|
| 365 |
+
"clip_ratio/region_mean": 0.0,
|
| 366 |
+
"completions/clipped_ratio": 0.35,
|
| 367 |
+
"completions/max_length": 496.2,
|
| 368 |
+
"completions/max_terminated_length": 448.8,
|
| 369 |
+
"completions/mean_length": 394.3,
|
| 370 |
+
"completions/mean_terminated_length": 358.6166687011719,
|
| 371 |
+
"completions/min_length": 285.4,
|
| 372 |
+
"completions/min_terminated_length": 285.4,
|
| 373 |
+
"entropy": 1.2620218694210052,
|
| 374 |
+
"epoch": 0.36809815950920244,
|
| 375 |
+
"frac_reward_zero_std": 0.2,
|
| 376 |
+
"grad_norm": 2.8227944374084473,
|
| 377 |
+
"learning_rate": 4.095092024539877e-07,
|
| 378 |
+
"loss": 0.039707571268081665,
|
| 379 |
+
"num_tokens": 215747.0,
|
| 380 |
+
"reward": -0.2729999750852585,
|
| 381 |
+
"reward_std": 0.13599938787519933,
|
| 382 |
+
"rewards/format_reward/mean": 0.14000000432133675,
|
| 383 |
+
"rewards/format_reward/std": 0.14343783408403396,
|
| 384 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 385 |
+
"rewards/security_audit_reward/std": 0.1393846869468689,
|
| 386 |
+
"step": 60,
|
| 387 |
+
"step_time": 37.50645367139987
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"clip_ratio/high_max": 0.0,
|
| 391 |
+
"clip_ratio/high_mean": 0.0,
|
| 392 |
+
"clip_ratio/low_mean": 0.0,
|
| 393 |
+
"clip_ratio/low_min": 0.0,
|
| 394 |
+
"clip_ratio/region_mean": 0.0,
|
| 395 |
+
"completions/clipped_ratio": 0.35,
|
| 396 |
+
"completions/max_length": 484.8,
|
| 397 |
+
"completions/max_terminated_length": 334.8,
|
| 398 |
+
"completions/mean_length": 381.35,
|
| 399 |
+
"completions/mean_terminated_length": 255.98333740234375,
|
| 400 |
+
"completions/min_length": 275.6,
|
| 401 |
+
"completions/min_terminated_length": 173.2,
|
| 402 |
+
"entropy": 1.2798833012580872,
|
| 403 |
+
"epoch": 0.3987730061349693,
|
| 404 |
+
"frac_reward_zero_std": 0.2,
|
| 405 |
+
"grad_norm": 3.4819753170013428,
|
| 406 |
+
"learning_rate": 4.01840490797546e-07,
|
| 407 |
+
"loss": -0.06275686025619506,
|
| 408 |
+
"num_tokens": 233162.0,
|
| 409 |
+
"reward": -0.201749986410141,
|
| 410 |
+
"reward_std": 0.2016347900032997,
|
| 411 |
+
"rewards/format_reward/mean": 0.20250000804662704,
|
| 412 |
+
"rewards/format_reward/std": 0.22137173414230346,
|
| 413 |
+
"rewards/security_audit_reward/mean": -0.375,
|
| 414 |
+
"rewards/security_audit_reward/std": 0.20773502588272094,
|
| 415 |
+
"step": 65,
|
| 416 |
+
"step_time": 37.139902984000216
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"clip_ratio/high_max": 0.0,
|
| 420 |
+
"clip_ratio/high_mean": 0.0,
|
| 421 |
+
"clip_ratio/low_mean": 0.0,
|
| 422 |
+
"clip_ratio/low_min": 0.0,
|
| 423 |
+
"clip_ratio/region_mean": 0.0,
|
| 424 |
+
"completions/clipped_ratio": 0.6,
|
| 425 |
+
"completions/max_length": 512.0,
|
| 426 |
+
"completions/max_terminated_length": 289.8,
|
| 427 |
+
"completions/mean_length": 408.45,
|
| 428 |
+
"completions/mean_terminated_length": 251.7,
|
| 429 |
+
"completions/min_length": 207.0,
|
| 430 |
+
"completions/min_terminated_length": 207.0,
|
| 431 |
+
"entropy": 1.2134525895118713,
|
| 432 |
+
"epoch": 0.4294478527607362,
|
| 433 |
+
"frac_reward_zero_std": 0.3,
|
| 434 |
+
"grad_norm": 4.019806861877441,
|
| 435 |
+
"learning_rate": 3.941717791411043e-07,
|
| 436 |
+
"loss": 0.08099154829978943,
|
| 437 |
+
"num_tokens": 251321.0,
|
| 438 |
+
"reward": -0.27599998414516447,
|
| 439 |
+
"reward_std": 0.08945702444761991,
|
| 440 |
+
"rewards/format_reward/mean": 0.1300000037997961,
|
| 441 |
+
"rewards/format_reward/std": 0.1645726040005684,
|
| 442 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 443 |
+
"rewards/security_audit_reward/std": 0.05773502588272095,
|
| 444 |
+
"step": 70,
|
| 445 |
+
"step_time": 38.02127088899997
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"clip_ratio/high_max": 0.0,
|
| 449 |
+
"clip_ratio/high_mean": 0.0,
|
| 450 |
+
"clip_ratio/low_mean": 0.0,
|
| 451 |
+
"clip_ratio/low_min": 0.0,
|
| 452 |
+
"clip_ratio/region_mean": 0.0,
|
| 453 |
+
"completions/clipped_ratio": 0.5,
|
| 454 |
+
"completions/max_length": 459.8,
|
| 455 |
+
"completions/max_terminated_length": 206.2,
|
| 456 |
+
"completions/mean_length": 348.9,
|
| 457 |
+
"completions/mean_terminated_length": 176.9,
|
| 458 |
+
"completions/min_length": 148.6,
|
| 459 |
+
"completions/min_terminated_length": 148.6,
|
| 460 |
+
"entropy": 1.3179432690143584,
|
| 461 |
+
"epoch": 0.4601226993865031,
|
| 462 |
+
"frac_reward_zero_std": 0.0,
|
| 463 |
+
"grad_norm": 6.28598690032959,
|
| 464 |
+
"learning_rate": 3.8650306748466255e-07,
|
| 465 |
+
"loss": -0.11171818971633911,
|
| 466 |
+
"num_tokens": 267725.0,
|
| 467 |
+
"reward": -0.19474998638033866,
|
| 468 |
+
"reward_std": 0.17031802013516426,
|
| 469 |
+
"rewards/format_reward/mean": 0.23750000447034836,
|
| 470 |
+
"rewards/format_reward/std": 0.17114628925919534,
|
| 471 |
+
"rewards/security_audit_reward/mean": -0.3800000011920929,
|
| 472 |
+
"rewards/security_audit_reward/std": 0.180902099609375,
|
| 473 |
+
"step": 75,
|
| 474 |
+
"step_time": 34.450158203000136
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"clip_ratio/high_max": 0.0,
|
| 478 |
+
"clip_ratio/high_mean": 0.0,
|
| 479 |
+
"clip_ratio/low_mean": 0.0,
|
| 480 |
+
"clip_ratio/low_min": 0.0,
|
| 481 |
+
"clip_ratio/region_mean": 0.0,
|
| 482 |
+
"completions/clipped_ratio": 0.5,
|
| 483 |
+
"completions/max_length": 512.0,
|
| 484 |
+
"completions/max_terminated_length": 332.8,
|
| 485 |
+
"completions/mean_length": 400.75,
|
| 486 |
+
"completions/mean_terminated_length": 289.06666870117186,
|
| 487 |
+
"completions/min_length": 251.0,
|
| 488 |
+
"completions/min_terminated_length": 251.0,
|
| 489 |
+
"entropy": 1.1514661133289337,
|
| 490 |
+
"epoch": 0.49079754601226994,
|
| 491 |
+
"frac_reward_zero_std": 0.4,
|
| 492 |
+
"grad_norm": 2.8479247093200684,
|
| 493 |
+
"learning_rate": 3.788343558282208e-07,
|
| 494 |
+
"loss": 0.03145935535430908,
|
| 495 |
+
"num_tokens": 285726.0,
|
| 496 |
+
"reward": -0.2569999933242798,
|
| 497 |
+
"reward_std": 0.15333212018013,
|
| 498 |
+
"rewards/format_reward/mean": 0.1350000023841858,
|
| 499 |
+
"rewards/format_reward/std": 0.18636635541915894,
|
| 500 |
+
"rewards/security_audit_reward/mean": -0.425,
|
| 501 |
+
"rewards/security_audit_reward/std": 0.15,
|
| 502 |
+
"step": 80,
|
| 503 |
+
"step_time": 38.869779922999626
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"clip_ratio/high_max": 0.0,
|
| 507 |
+
"clip_ratio/high_mean": 0.0,
|
| 508 |
+
"clip_ratio/low_mean": 0.0,
|
| 509 |
+
"clip_ratio/low_min": 0.0,
|
| 510 |
+
"clip_ratio/region_mean": 0.0,
|
| 511 |
+
"completions/clipped_ratio": 0.5,
|
| 512 |
+
"completions/max_length": 512.0,
|
| 513 |
+
"completions/max_terminated_length": 321.2,
|
| 514 |
+
"completions/mean_length": 398.5,
|
| 515 |
+
"completions/mean_terminated_length": 253.0,
|
| 516 |
+
"completions/min_length": 183.0,
|
| 517 |
+
"completions/min_terminated_length": 183.0,
|
| 518 |
+
"entropy": 1.244500571489334,
|
| 519 |
+
"epoch": 0.5214723926380368,
|
| 520 |
+
"frac_reward_zero_std": 0.3,
|
| 521 |
+
"grad_norm": 2.146970272064209,
|
| 522 |
+
"learning_rate": 3.7116564417177916e-07,
|
| 523 |
+
"loss": 0.06171210408210755,
|
| 524 |
+
"num_tokens": 304148.0,
|
| 525 |
+
"reward": -0.22524999380111693,
|
| 526 |
+
"reward_std": 0.19191497713327407,
|
| 527 |
+
"rewards/format_reward/mean": 0.18250000327825547,
|
| 528 |
+
"rewards/format_reward/std": 0.19969657957553863,
|
| 529 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 530 |
+
"rewards/security_audit_reward/std": 0.2,
|
| 531 |
+
"step": 85,
|
| 532 |
+
"step_time": 39.297288996000134
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"clip_ratio/high_max": 0.0,
|
| 536 |
+
"clip_ratio/high_mean": 0.0,
|
| 537 |
+
"clip_ratio/low_mean": 0.0,
|
| 538 |
+
"clip_ratio/low_min": 0.0,
|
| 539 |
+
"clip_ratio/region_mean": 0.0,
|
| 540 |
+
"completions/clipped_ratio": 0.55,
|
| 541 |
+
"completions/max_length": 512.0,
|
| 542 |
+
"completions/max_terminated_length": 360.0,
|
| 543 |
+
"completions/mean_length": 419.5,
|
| 544 |
+
"completions/mean_terminated_length": 325.6,
|
| 545 |
+
"completions/min_length": 291.2,
|
| 546 |
+
"completions/min_terminated_length": 291.2,
|
| 547 |
+
"entropy": 1.206581747531891,
|
| 548 |
+
"epoch": 0.5521472392638037,
|
| 549 |
+
"frac_reward_zero_std": 0.2,
|
| 550 |
+
"grad_norm": 2.1158456802368164,
|
| 551 |
+
"learning_rate": 3.634969325153374e-07,
|
| 552 |
+
"loss": -0.06664568185806274,
|
| 553 |
+
"num_tokens": 321680.0,
|
| 554 |
+
"reward": -0.23324998915195466,
|
| 555 |
+
"reward_std": 0.1919491995126009,
|
| 556 |
+
"rewards/format_reward/mean": 0.1675000049173832,
|
| 557 |
+
"rewards/format_reward/std": 0.19863576367497443,
|
| 558 |
+
"rewards/security_audit_reward/mean": -0.40499999523162844,
|
| 559 |
+
"rewards/security_audit_reward/std": 0.1899999976158142,
|
| 560 |
+
"step": 90,
|
| 561 |
+
"step_time": 38.49561594039933
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"clip_ratio/high_max": 0.0,
|
| 565 |
+
"clip_ratio/high_mean": 0.0,
|
| 566 |
+
"clip_ratio/low_mean": 0.0,
|
| 567 |
+
"clip_ratio/low_min": 0.0,
|
| 568 |
+
"clip_ratio/region_mean": 0.0,
|
| 569 |
+
"completions/clipped_ratio": 0.4,
|
| 570 |
+
"completions/max_length": 469.2,
|
| 571 |
+
"completions/max_terminated_length": 364.0,
|
| 572 |
+
"completions/mean_length": 383.2,
|
| 573 |
+
"completions/mean_terminated_length": 291.8333374023438,
|
| 574 |
+
"completions/min_length": 217.6,
|
| 575 |
+
"completions/min_terminated_length": 217.6,
|
| 576 |
+
"entropy": 1.217250692844391,
|
| 577 |
+
"epoch": 0.5828220858895705,
|
| 578 |
+
"frac_reward_zero_std": 0.4,
|
| 579 |
+
"grad_norm": 4.098232269287109,
|
| 580 |
+
"learning_rate": 3.558282208588957e-07,
|
| 581 |
+
"loss": 0.05211906433105469,
|
| 582 |
+
"num_tokens": 339350.0,
|
| 583 |
+
"reward": -0.2119999945163727,
|
| 584 |
+
"reward_std": 0.19894140996038914,
|
| 585 |
+
"rewards/format_reward/mean": 0.1799999989569187,
|
| 586 |
+
"rewards/format_reward/std": 0.23350853994488716,
|
| 587 |
+
"rewards/security_audit_reward/mean": -0.37999999821186065,
|
| 588 |
+
"rewards/security_audit_reward/std": 0.1911805212497711,
|
| 589 |
+
"step": 95,
|
| 590 |
+
"step_time": 35.83687614579994
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"clip_ratio/high_max": 0.0,
|
| 594 |
+
"clip_ratio/high_mean": 0.0,
|
| 595 |
+
"clip_ratio/low_mean": 0.0,
|
| 596 |
+
"clip_ratio/low_min": 0.0,
|
| 597 |
+
"clip_ratio/region_mean": 0.0,
|
| 598 |
+
"completions/clipped_ratio": 0.5,
|
| 599 |
+
"completions/max_length": 512.0,
|
| 600 |
+
"completions/max_terminated_length": 345.4,
|
| 601 |
+
"completions/mean_length": 377.45,
|
| 602 |
+
"completions/mean_terminated_length": 290.6333343505859,
|
| 603 |
+
"completions/min_length": 240.4,
|
| 604 |
+
"completions/min_terminated_length": 240.4,
|
| 605 |
+
"entropy": 1.2783292949199676,
|
| 606 |
+
"epoch": 0.6134969325153374,
|
| 607 |
+
"frac_reward_zero_std": 0.3,
|
| 608 |
+
"grad_norm": 2.361516237258911,
|
| 609 |
+
"learning_rate": 3.48159509202454e-07,
|
| 610 |
+
"loss": 0.06258203387260437,
|
| 611 |
+
"num_tokens": 356239.0,
|
| 612 |
+
"reward": -0.20649999231100083,
|
| 613 |
+
"reward_std": 0.18195689767599105,
|
| 614 |
+
"rewards/format_reward/mean": 0.24499999433755876,
|
| 615 |
+
"rewards/format_reward/std": 0.19310407042503358,
|
| 616 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 617 |
+
"rewards/security_audit_reward/std": 0.2,
|
| 618 |
+
"step": 100,
|
| 619 |
+
"step_time": 38.47846096040011
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"clip_ratio/high_max": 0.0,
|
| 623 |
+
"clip_ratio/high_mean": 0.0,
|
| 624 |
+
"clip_ratio/low_mean": 0.0,
|
| 625 |
+
"clip_ratio/low_min": 0.0,
|
| 626 |
+
"clip_ratio/region_mean": 0.0,
|
| 627 |
+
"completions/clipped_ratio": 0.3,
|
| 628 |
+
"completions/max_length": 463.2,
|
| 629 |
+
"completions/max_terminated_length": 394.6,
|
| 630 |
+
"completions/mean_length": 335.8,
|
| 631 |
+
"completions/mean_terminated_length": 268.3,
|
| 632 |
+
"completions/min_length": 139.6,
|
| 633 |
+
"completions/min_terminated_length": 139.6,
|
| 634 |
+
"entropy": 1.2529696226119995,
|
| 635 |
+
"epoch": 0.6441717791411042,
|
| 636 |
+
"frac_reward_zero_std": 0.2,
|
| 637 |
+
"grad_norm": 3.356074094772339,
|
| 638 |
+
"learning_rate": 3.4049079754601224e-07,
|
| 639 |
+
"loss": 0.003340443968772888,
|
| 640 |
+
"num_tokens": 373237.0,
|
| 641 |
+
"reward": -0.2567499876022339,
|
| 642 |
+
"reward_std": 0.27417250275611876,
|
| 643 |
+
"rewards/format_reward/mean": 0.14750000461935997,
|
| 644 |
+
"rewards/format_reward/std": 0.19759280756115913,
|
| 645 |
+
"rewards/security_audit_reward/mean": -0.4299999952316284,
|
| 646 |
+
"rewards/security_audit_reward/std": 0.3186576545238495,
|
| 647 |
+
"step": 105,
|
| 648 |
+
"step_time": 35.43083410320014
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"clip_ratio/high_max": 0.0,
|
| 652 |
+
"clip_ratio/high_mean": 0.0,
|
| 653 |
+
"clip_ratio/low_mean": 0.0,
|
| 654 |
+
"clip_ratio/low_min": 0.0,
|
| 655 |
+
"clip_ratio/region_mean": 0.0,
|
| 656 |
+
"completions/clipped_ratio": 0.45,
|
| 657 |
+
"completions/max_length": 512.0,
|
| 658 |
+
"completions/max_terminated_length": 372.8,
|
| 659 |
+
"completions/mean_length": 419.15,
|
| 660 |
+
"completions/mean_terminated_length": 319.2666748046875,
|
| 661 |
+
"completions/min_length": 266.8,
|
| 662 |
+
"completions/min_terminated_length": 266.8,
|
| 663 |
+
"entropy": 1.1685741186141967,
|
| 664 |
+
"epoch": 0.6748466257668712,
|
| 665 |
+
"frac_reward_zero_std": 0.2,
|
| 666 |
+
"grad_norm": 4.318619728088379,
|
| 667 |
+
"learning_rate": 3.3282208588957055e-07,
|
| 668 |
+
"loss": -0.026089027523994446,
|
| 669 |
+
"num_tokens": 391784.0,
|
| 670 |
+
"reward": -0.2662499874830246,
|
| 671 |
+
"reward_std": 0.07884115856140853,
|
| 672 |
+
"rewards/format_reward/mean": 0.16250000558793545,
|
| 673 |
+
"rewards/format_reward/std": 0.14070439487695693,
|
| 674 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 675 |
+
"rewards/security_audit_reward/std": 0.05773502588272095,
|
| 676 |
+
"step": 110,
|
| 677 |
+
"step_time": 38.89281254739999
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"clip_ratio/high_max": 0.0,
|
| 681 |
+
"clip_ratio/high_mean": 0.0,
|
| 682 |
+
"clip_ratio/low_mean": 0.0,
|
| 683 |
+
"clip_ratio/low_min": 0.0,
|
| 684 |
+
"clip_ratio/region_mean": 0.0,
|
| 685 |
+
"completions/clipped_ratio": 0.3,
|
| 686 |
+
"completions/max_length": 468.0,
|
| 687 |
+
"completions/max_terminated_length": 337.6,
|
| 688 |
+
"completions/mean_length": 330.1,
|
| 689 |
+
"completions/mean_terminated_length": 240.4166687011719,
|
| 690 |
+
"completions/min_length": 160.8,
|
| 691 |
+
"completions/min_terminated_length": 160.8,
|
| 692 |
+
"entropy": 1.2954379856586455,
|
| 693 |
+
"epoch": 0.7055214723926381,
|
| 694 |
+
"frac_reward_zero_std": 0.2,
|
| 695 |
+
"grad_norm": 3.293928384780884,
|
| 696 |
+
"learning_rate": 3.251533742331288e-07,
|
| 697 |
+
"loss": 0.17276796102523803,
|
| 698 |
+
"num_tokens": 408446.0,
|
| 699 |
+
"reward": -0.22849999666213988,
|
| 700 |
+
"reward_std": 0.1390242099761963,
|
| 701 |
+
"rewards/format_reward/mean": 0.2300000011920929,
|
| 702 |
+
"rewards/format_reward/std": 0.23302415013313293,
|
| 703 |
+
"rewards/security_audit_reward/mean": -0.425,
|
| 704 |
+
"rewards/security_audit_reward/std": 0.10773502588272095,
|
| 705 |
+
"step": 115,
|
| 706 |
+
"step_time": 35.73082293679981
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"clip_ratio/high_max": 0.0,
|
| 710 |
+
"clip_ratio/high_mean": 0.0,
|
| 711 |
+
"clip_ratio/low_mean": 0.0,
|
| 712 |
+
"clip_ratio/low_min": 0.0,
|
| 713 |
+
"clip_ratio/region_mean": 0.0,
|
| 714 |
+
"completions/clipped_ratio": 0.55,
|
| 715 |
+
"completions/max_length": 512.0,
|
| 716 |
+
"completions/max_terminated_length": 281.2,
|
| 717 |
+
"completions/mean_length": 400.5,
|
| 718 |
+
"completions/mean_terminated_length": 248.73333740234375,
|
| 719 |
+
"completions/min_length": 211.8,
|
| 720 |
+
"completions/min_terminated_length": 211.8,
|
| 721 |
+
"entropy": 1.2283548831939697,
|
| 722 |
+
"epoch": 0.7361963190184049,
|
| 723 |
+
"frac_reward_zero_std": 0.2,
|
| 724 |
+
"grad_norm": 2.632479190826416,
|
| 725 |
+
"learning_rate": 3.174846625766871e-07,
|
| 726 |
+
"loss": 0.05111231803894043,
|
| 727 |
+
"num_tokens": 426822.0,
|
| 728 |
+
"reward": -0.22074998915195465,
|
| 729 |
+
"reward_std": 0.15957241374999284,
|
| 730 |
+
"rewards/format_reward/mean": 0.1975000012665987,
|
| 731 |
+
"rewards/format_reward/std": 0.1847505249083042,
|
| 732 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 733 |
+
"rewards/security_audit_reward/std": 0.15773502588272095,
|
| 734 |
+
"step": 120,
|
| 735 |
+
"step_time": 39.14503100519996
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"clip_ratio/high_max": 0.0,
|
| 739 |
+
"clip_ratio/high_mean": 0.0,
|
| 740 |
+
"clip_ratio/low_mean": 0.0,
|
| 741 |
+
"clip_ratio/low_min": 0.0,
|
| 742 |
+
"clip_ratio/region_mean": 0.0,
|
| 743 |
+
"completions/clipped_ratio": 0.5,
|
| 744 |
+
"completions/max_length": 512.0,
|
| 745 |
+
"completions/max_terminated_length": 340.2,
|
| 746 |
+
"completions/mean_length": 401.4,
|
| 747 |
+
"completions/mean_terminated_length": 236.03333740234376,
|
| 748 |
+
"completions/min_length": 245.2,
|
| 749 |
+
"completions/min_terminated_length": 142.8,
|
| 750 |
+
"entropy": 1.307636547088623,
|
| 751 |
+
"epoch": 0.7668711656441718,
|
| 752 |
+
"frac_reward_zero_std": 0.3,
|
| 753 |
+
"grad_norm": 5.566491603851318,
|
| 754 |
+
"learning_rate": 3.0981595092024537e-07,
|
| 755 |
+
"loss": 0.003215853124856949,
|
| 756 |
+
"num_tokens": 444322.0,
|
| 757 |
+
"reward": -0.11199999079108239,
|
| 758 |
+
"reward_std": 0.2506739288568497,
|
| 759 |
+
"rewards/format_reward/mean": 0.2449999988079071,
|
| 760 |
+
"rewards/format_reward/std": 0.20622505843639374,
|
| 761 |
+
"rewards/security_audit_reward/mean": -0.26500000059604645,
|
| 762 |
+
"rewards/security_audit_reward/std": 0.278915548324585,
|
| 763 |
+
"step": 125,
|
| 764 |
+
"step_time": 38.70229864360026
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"clip_ratio/high_max": 0.0,
|
| 768 |
+
"clip_ratio/high_mean": 0.0,
|
| 769 |
+
"clip_ratio/low_mean": 0.0,
|
| 770 |
+
"clip_ratio/low_min": 0.0,
|
| 771 |
+
"clip_ratio/region_mean": 0.0,
|
| 772 |
+
"completions/clipped_ratio": 0.35,
|
| 773 |
+
"completions/max_length": 512.0,
|
| 774 |
+
"completions/max_terminated_length": 390.6,
|
| 775 |
+
"completions/mean_length": 367.0,
|
| 776 |
+
"completions/mean_terminated_length": 264.0000061035156,
|
| 777 |
+
"completions/min_length": 123.2,
|
| 778 |
+
"completions/min_terminated_length": 123.2,
|
| 779 |
+
"entropy": 1.248900693655014,
|
| 780 |
+
"epoch": 0.7975460122699386,
|
| 781 |
+
"frac_reward_zero_std": 0.2,
|
| 782 |
+
"grad_norm": 4.395384311676025,
|
| 783 |
+
"learning_rate": 3.021472392638036e-07,
|
| 784 |
+
"loss": 0.06482647061347961,
|
| 785 |
+
"num_tokens": 461894.0,
|
| 786 |
+
"reward": -0.2042499899864197,
|
| 787 |
+
"reward_std": 0.17003463432192803,
|
| 788 |
+
"rewards/format_reward/mean": 0.2525000125169754,
|
| 789 |
+
"rewards/format_reward/std": 0.21560870110988617,
|
| 790 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 791 |
+
"rewards/security_audit_reward/std": 0.15773502588272095,
|
| 792 |
+
"step": 130,
|
| 793 |
+
"step_time": 39.174271353800215
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"clip_ratio/high_max": 0.0,
|
| 797 |
+
"clip_ratio/high_mean": 0.0,
|
| 798 |
+
"clip_ratio/low_mean": 0.0,
|
| 799 |
+
"clip_ratio/low_min": 0.0,
|
| 800 |
+
"clip_ratio/region_mean": 0.0,
|
| 801 |
+
"completions/clipped_ratio": 0.35,
|
| 802 |
+
"completions/max_length": 512.0,
|
| 803 |
+
"completions/max_terminated_length": 370.0,
|
| 804 |
+
"completions/mean_length": 359.95,
|
| 805 |
+
"completions/mean_terminated_length": 276.9666687011719,
|
| 806 |
+
"completions/min_length": 203.8,
|
| 807 |
+
"completions/min_terminated_length": 203.8,
|
| 808 |
+
"entropy": 1.3299469709396363,
|
| 809 |
+
"epoch": 0.8282208588957055,
|
| 810 |
+
"frac_reward_zero_std": 0.0,
|
| 811 |
+
"grad_norm": 4.3037519454956055,
|
| 812 |
+
"learning_rate": 2.94478527607362e-07,
|
| 813 |
+
"loss": 0.026153716444969177,
|
| 814 |
+
"num_tokens": 478783.0,
|
| 815 |
+
"reward": -0.19949999153614045,
|
| 816 |
+
"reward_std": 0.15296672135591508,
|
| 817 |
+
"rewards/format_reward/mean": 0.24500000178813935,
|
| 818 |
+
"rewards/format_reward/std": 0.2273508906364441,
|
| 819 |
+
"rewards/security_audit_reward/mean": -0.39000000059604645,
|
| 820 |
+
"rewards/security_audit_reward/std": 0.12891554832458496,
|
| 821 |
+
"step": 135,
|
| 822 |
+
"step_time": 38.658669441000164
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"clip_ratio/high_max": 0.0,
|
| 826 |
+
"clip_ratio/high_mean": 0.0,
|
| 827 |
+
"clip_ratio/low_mean": 0.0,
|
| 828 |
+
"clip_ratio/low_min": 0.0,
|
| 829 |
+
"clip_ratio/region_mean": 0.0,
|
| 830 |
+
"completions/clipped_ratio": 0.45,
|
| 831 |
+
"completions/max_length": 512.0,
|
| 832 |
+
"completions/max_terminated_length": 354.0,
|
| 833 |
+
"completions/mean_length": 380.3,
|
| 834 |
+
"completions/mean_terminated_length": 271.6666687011719,
|
| 835 |
+
"completions/min_length": 206.4,
|
| 836 |
+
"completions/min_terminated_length": 206.4,
|
| 837 |
+
"entropy": 1.0997539341449738,
|
| 838 |
+
"epoch": 0.8588957055214724,
|
| 839 |
+
"frac_reward_zero_std": 0.2,
|
| 840 |
+
"grad_norm": 2.3693976402282715,
|
| 841 |
+
"learning_rate": 2.8680981595092024e-07,
|
| 842 |
+
"loss": -0.01876506209373474,
|
| 843 |
+
"num_tokens": 496243.0,
|
| 844 |
+
"reward": -0.17974998727440833,
|
| 845 |
+
"reward_std": 0.18710523881018162,
|
| 846 |
+
"rewards/format_reward/mean": 0.21750000193715097,
|
| 847 |
+
"rewards/format_reward/std": 0.1843859799206257,
|
| 848 |
+
"rewards/security_audit_reward/mean": -0.35,
|
| 849 |
+
"rewards/security_audit_reward/std": 0.20347774028778076,
|
| 850 |
+
"step": 140,
|
| 851 |
+
"step_time": 39.171343391999834
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"clip_ratio/high_max": 0.0,
|
| 855 |
+
"clip_ratio/high_mean": 0.0,
|
| 856 |
+
"clip_ratio/low_mean": 0.0,
|
| 857 |
+
"clip_ratio/low_min": 0.0,
|
| 858 |
+
"clip_ratio/region_mean": 0.0,
|
| 859 |
+
"completions/clipped_ratio": 0.35,
|
| 860 |
+
"completions/max_length": 456.2,
|
| 861 |
+
"completions/max_terminated_length": 355.2,
|
| 862 |
+
"completions/mean_length": 348.35,
|
| 863 |
+
"completions/mean_terminated_length": 270.3,
|
| 864 |
+
"completions/min_length": 164.8,
|
| 865 |
+
"completions/min_terminated_length": 164.8,
|
| 866 |
+
"entropy": 1.2017314374446868,
|
| 867 |
+
"epoch": 0.8895705521472392,
|
| 868 |
+
"frac_reward_zero_std": 0.3,
|
| 869 |
+
"grad_norm": 4.230531215667725,
|
| 870 |
+
"learning_rate": 2.791411042944785e-07,
|
| 871 |
+
"loss": 0.0029310762882232668,
|
| 872 |
+
"num_tokens": 513422.0,
|
| 873 |
+
"reward": -0.1637499898672104,
|
| 874 |
+
"reward_std": 0.2463478922843933,
|
| 875 |
+
"rewards/format_reward/mean": 0.2475000023841858,
|
| 876 |
+
"rewards/format_reward/std": 0.2085829883813858,
|
| 877 |
+
"rewards/security_audit_reward/mean": -0.34000000059604646,
|
| 878 |
+
"rewards/security_audit_reward/std": 0.26830023527145386,
|
| 879 |
+
"step": 145,
|
| 880 |
+
"step_time": 34.95672115479992
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"clip_ratio/high_max": 0.0,
|
| 884 |
+
"clip_ratio/high_mean": 0.0,
|
| 885 |
+
"clip_ratio/low_mean": 0.0,
|
| 886 |
+
"clip_ratio/low_min": 0.0,
|
| 887 |
+
"clip_ratio/region_mean": 0.0,
|
| 888 |
+
"completions/clipped_ratio": 0.25,
|
| 889 |
+
"completions/max_length": 482.4,
|
| 890 |
+
"completions/max_terminated_length": 431.6,
|
| 891 |
+
"completions/mean_length": 355.35,
|
| 892 |
+
"completions/mean_terminated_length": 319.4166687011719,
|
| 893 |
+
"completions/min_length": 212.0,
|
| 894 |
+
"completions/min_terminated_length": 212.0,
|
| 895 |
+
"entropy": 1.258862280845642,
|
| 896 |
+
"epoch": 0.9202453987730062,
|
| 897 |
+
"frac_reward_zero_std": 0.2,
|
| 898 |
+
"grad_norm": 6.071740627288818,
|
| 899 |
+
"learning_rate": 2.714723926380368e-07,
|
| 900 |
+
"loss": 0.0822126567363739,
|
| 901 |
+
"num_tokens": 530643.0,
|
| 902 |
+
"reward": -0.1912499874830246,
|
| 903 |
+
"reward_std": 0.1670845106244087,
|
| 904 |
+
"rewards/format_reward/mean": 0.27249999940395353,
|
| 905 |
+
"rewards/format_reward/std": 0.1733592666685581,
|
| 906 |
+
"rewards/security_audit_reward/mean": -0.39000000059604645,
|
| 907 |
+
"rewards/security_audit_reward/std": 0.17118052244186402,
|
| 908 |
+
"step": 150,
|
| 909 |
+
"step_time": 37.038782767599876
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"clip_ratio/high_max": 0.0,
|
| 913 |
+
"clip_ratio/high_mean": 0.0,
|
| 914 |
+
"clip_ratio/low_mean": 0.0,
|
| 915 |
+
"clip_ratio/low_min": 0.0,
|
| 916 |
+
"clip_ratio/region_mean": 0.0,
|
| 917 |
+
"completions/clipped_ratio": 0.2,
|
| 918 |
+
"completions/max_length": 442.2,
|
| 919 |
+
"completions/max_terminated_length": 316.0,
|
| 920 |
+
"completions/mean_length": 283.75,
|
| 921 |
+
"completions/mean_terminated_length": 237.85000305175782,
|
| 922 |
+
"completions/min_length": 166.2,
|
| 923 |
+
"completions/min_terminated_length": 166.2,
|
| 924 |
+
"entropy": 1.4853489220142364,
|
| 925 |
+
"epoch": 0.950920245398773,
|
| 926 |
+
"frac_reward_zero_std": 0.0,
|
| 927 |
+
"grad_norm": 5.2570695877075195,
|
| 928 |
+
"learning_rate": 2.6380368098159506e-07,
|
| 929 |
+
"loss": 0.11004064083099366,
|
| 930 |
+
"num_tokens": 545966.0,
|
| 931 |
+
"reward": -0.15949999541044235,
|
| 932 |
+
"reward_std": 0.19192611873149873,
|
| 933 |
+
"rewards/format_reward/mean": 0.28500000238418577,
|
| 934 |
+
"rewards/format_reward/std": 0.22434256076812745,
|
| 935 |
+
"rewards/security_audit_reward/mean": -0.35,
|
| 936 |
+
"rewards/security_audit_reward/std": 0.2,
|
| 937 |
+
"step": 155,
|
| 938 |
+
"step_time": 33.86747411140077
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"clip_ratio/high_max": 0.0,
|
| 942 |
+
"clip_ratio/high_mean": 0.0,
|
| 943 |
+
"clip_ratio/low_mean": 0.0,
|
| 944 |
+
"clip_ratio/low_min": 0.0,
|
| 945 |
+
"clip_ratio/region_mean": 0.0,
|
| 946 |
+
"completions/clipped_ratio": 0.55,
|
| 947 |
+
"completions/max_length": 512.0,
|
| 948 |
+
"completions/max_terminated_length": 340.8,
|
| 949 |
+
"completions/mean_length": 411.45,
|
| 950 |
+
"completions/mean_terminated_length": 265.9666687011719,
|
| 951 |
+
"completions/min_length": 192.0,
|
| 952 |
+
"completions/min_terminated_length": 192.0,
|
| 953 |
+
"entropy": 1.0828768193721772,
|
| 954 |
+
"epoch": 0.9815950920245399,
|
| 955 |
+
"frac_reward_zero_std": 0.2,
|
| 956 |
+
"grad_norm": 2.6537587642669678,
|
| 957 |
+
"learning_rate": 2.5613496932515337e-07,
|
| 958 |
+
"loss": 0.03556116819381714,
|
| 959 |
+
"num_tokens": 563683.0,
|
| 960 |
+
"reward": -0.20099999010562897,
|
| 961 |
+
"reward_std": 0.1888158166781068,
|
| 962 |
+
"rewards/format_reward/mean": 0.24000000059604645,
|
| 963 |
+
"rewards/format_reward/std": 0.16870398968458175,
|
| 964 |
+
"rewards/security_audit_reward/mean": -0.3899999976158142,
|
| 965 |
+
"rewards/security_audit_reward/std": 0.2199999988079071,
|
| 966 |
+
"step": 160,
|
| 967 |
+
"step_time": 38.665304075799575
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"clip_ratio/high_max": 0.0,
|
| 971 |
+
"clip_ratio/high_mean": 0.0,
|
| 972 |
+
"clip_ratio/low_mean": 0.0,
|
| 973 |
+
"clip_ratio/low_min": 0.0,
|
| 974 |
+
"clip_ratio/region_mean": 0.0,
|
| 975 |
+
"completions/clipped_ratio": 0.3,
|
| 976 |
+
"completions/max_length": 483.2,
|
| 977 |
+
"completions/max_terminated_length": 393.2,
|
| 978 |
+
"completions/mean_length": 359.2,
|
| 979 |
+
"completions/mean_terminated_length": 303.3666687011719,
|
| 980 |
+
"completions/min_length": 178.2,
|
| 981 |
+
"completions/min_terminated_length": 178.2,
|
| 982 |
+
"entropy": 1.1811485469341279,
|
| 983 |
+
"epoch": 1.0122699386503067,
|
| 984 |
+
"frac_reward_zero_std": 0.0,
|
| 985 |
+
"grad_norm": 4.203860282897949,
|
| 986 |
+
"learning_rate": 2.4846625766871163e-07,
|
| 987 |
+
"loss": -0.02532302737236023,
|
| 988 |
+
"num_tokens": 580183.0,
|
| 989 |
+
"reward": -0.1227499857544899,
|
| 990 |
+
"reward_std": 0.2651766210794449,
|
| 991 |
+
"rewards/format_reward/mean": 0.2675000011920929,
|
| 992 |
+
"rewards/format_reward/std": 0.24115291833877564,
|
| 993 |
+
"rewards/security_audit_reward/mean": -0.2899999976158142,
|
| 994 |
+
"rewards/security_audit_reward/std": 0.2812127649784088,
|
| 995 |
+
"step": 165,
|
| 996 |
+
"step_time": 36.34888075860035
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"clip_ratio/high_max": 0.0,
|
| 1000 |
+
"clip_ratio/high_mean": 0.0,
|
| 1001 |
+
"clip_ratio/low_mean": 0.0,
|
| 1002 |
+
"clip_ratio/low_min": 0.0,
|
| 1003 |
+
"clip_ratio/region_mean": 0.0,
|
| 1004 |
+
"completions/clipped_ratio": 0.4,
|
| 1005 |
+
"completions/max_length": 512.0,
|
| 1006 |
+
"completions/max_terminated_length": 345.8,
|
| 1007 |
+
"completions/mean_length": 358.5,
|
| 1008 |
+
"completions/mean_terminated_length": 235.96666870117187,
|
| 1009 |
+
"completions/min_length": 123.0,
|
| 1010 |
+
"completions/min_terminated_length": 123.0,
|
| 1011 |
+
"entropy": 1.2863860994577407,
|
| 1012 |
+
"epoch": 1.0429447852760736,
|
| 1013 |
+
"frac_reward_zero_std": 0.2,
|
| 1014 |
+
"grad_norm": 2.71185302734375,
|
| 1015 |
+
"learning_rate": 2.4079754601226994e-07,
|
| 1016 |
+
"loss": 0.12254136800765991,
|
| 1017 |
+
"num_tokens": 597345.0,
|
| 1018 |
+
"reward": -0.20274999886751174,
|
| 1019 |
+
"reward_std": 0.1825057201087475,
|
| 1020 |
+
"rewards/format_reward/mean": 0.25750000327825545,
|
| 1021 |
+
"rewards/format_reward/std": 0.19183385372161865,
|
| 1022 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 1023 |
+
"rewards/security_audit_reward/std": 0.19711971282958984,
|
| 1024 |
+
"step": 170,
|
| 1025 |
+
"step_time": 38.96664929399922
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"clip_ratio/high_max": 0.0,
|
| 1029 |
+
"clip_ratio/high_mean": 0.0,
|
| 1030 |
+
"clip_ratio/low_mean": 0.0,
|
| 1031 |
+
"clip_ratio/low_min": 0.0,
|
| 1032 |
+
"clip_ratio/region_mean": 0.0,
|
| 1033 |
+
"completions/clipped_ratio": 0.5,
|
| 1034 |
+
"completions/max_length": 512.0,
|
| 1035 |
+
"completions/max_terminated_length": 323.4,
|
| 1036 |
+
"completions/mean_length": 407.1,
|
| 1037 |
+
"completions/mean_terminated_length": 234.40000610351564,
|
| 1038 |
+
"completions/min_length": 242.8,
|
| 1039 |
+
"completions/min_terminated_length": 140.4,
|
| 1040 |
+
"entropy": 1.179810070991516,
|
| 1041 |
+
"epoch": 1.0736196319018405,
|
| 1042 |
+
"frac_reward_zero_std": 0.2,
|
| 1043 |
+
"grad_norm": 4.413055419921875,
|
| 1044 |
+
"learning_rate": 2.331288343558282e-07,
|
| 1045 |
+
"loss": 0.041037318110466,
|
| 1046 |
+
"num_tokens": 615063.0,
|
| 1047 |
+
"reward": -0.20374999046325684,
|
| 1048 |
+
"reward_std": 0.2052689865231514,
|
| 1049 |
+
"rewards/format_reward/mean": 0.31250000894069674,
|
| 1050 |
+
"rewards/format_reward/std": 0.22553626000881194,
|
| 1051 |
+
"rewards/security_audit_reward/mean": -0.425,
|
| 1052 |
+
"rewards/security_audit_reward/std": 0.23164966106414794,
|
| 1053 |
+
"step": 175,
|
| 1054 |
+
"step_time": 39.00492364500023
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"clip_ratio/high_max": 0.0,
|
| 1058 |
+
"clip_ratio/high_mean": 0.0,
|
| 1059 |
+
"clip_ratio/low_mean": 0.0,
|
| 1060 |
+
"clip_ratio/low_min": 0.0,
|
| 1061 |
+
"clip_ratio/region_mean": 0.0,
|
| 1062 |
+
"completions/clipped_ratio": 0.3,
|
| 1063 |
+
"completions/max_length": 511.6,
|
| 1064 |
+
"completions/max_terminated_length": 424.0,
|
| 1065 |
+
"completions/mean_length": 399.45,
|
| 1066 |
+
"completions/mean_terminated_length": 347.9166748046875,
|
| 1067 |
+
"completions/min_length": 262.6,
|
| 1068 |
+
"completions/min_terminated_length": 262.6,
|
| 1069 |
+
"entropy": 1.1026120364665986,
|
| 1070 |
+
"epoch": 1.1042944785276074,
|
| 1071 |
+
"frac_reward_zero_std": 0.0,
|
| 1072 |
+
"grad_norm": 4.408414840698242,
|
| 1073 |
+
"learning_rate": 2.254601226993865e-07,
|
| 1074 |
+
"loss": 0.058766734600067136,
|
| 1075 |
+
"num_tokens": 632696.0,
|
| 1076 |
+
"reward": -0.16599998623132706,
|
| 1077 |
+
"reward_std": 0.26377752125263215,
|
| 1078 |
+
"rewards/format_reward/mean": 0.24000000655651094,
|
| 1079 |
+
"rewards/format_reward/std": 0.21778101623058319,
|
| 1080 |
+
"rewards/security_audit_reward/mean": -0.34000000059604646,
|
| 1081 |
+
"rewards/security_audit_reward/std": 0.3105652093887329,
|
| 1082 |
+
"step": 180,
|
| 1083 |
+
"step_time": 39.09616019519963
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"clip_ratio/high_max": 0.0,
|
| 1087 |
+
"clip_ratio/high_mean": 0.0,
|
| 1088 |
+
"clip_ratio/low_mean": 0.0,
|
| 1089 |
+
"clip_ratio/low_min": 0.0,
|
| 1090 |
+
"clip_ratio/region_mean": 0.0,
|
| 1091 |
+
"completions/clipped_ratio": 0.2,
|
| 1092 |
+
"completions/max_length": 477.4,
|
| 1093 |
+
"completions/max_terminated_length": 421.6,
|
| 1094 |
+
"completions/mean_length": 322.45,
|
| 1095 |
+
"completions/mean_terminated_length": 273.1000030517578,
|
| 1096 |
+
"completions/min_length": 156.0,
|
| 1097 |
+
"completions/min_terminated_length": 156.0,
|
| 1098 |
+
"entropy": 1.2888785600662231,
|
| 1099 |
+
"epoch": 1.1349693251533743,
|
| 1100 |
+
"frac_reward_zero_std": 0.0,
|
| 1101 |
+
"grad_norm": 3.6877431869506836,
|
| 1102 |
+
"learning_rate": 2.1779141104294476e-07,
|
| 1103 |
+
"loss": -0.0771723210811615,
|
| 1104 |
+
"num_tokens": 649353.0,
|
| 1105 |
+
"reward": -0.1799999952316284,
|
| 1106 |
+
"reward_std": 0.3134476348757744,
|
| 1107 |
+
"rewards/format_reward/mean": 0.2750000089406967,
|
| 1108 |
+
"rewards/format_reward/std": 0.24135999679565429,
|
| 1109 |
+
"rewards/security_audit_reward/mean": -0.375,
|
| 1110 |
+
"rewards/security_audit_reward/std": 0.3593961834907532,
|
| 1111 |
+
"step": 185,
|
| 1112 |
+
"step_time": 36.71157897000012
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"clip_ratio/high_max": 0.0,
|
| 1116 |
+
"clip_ratio/high_mean": 0.0,
|
| 1117 |
+
"clip_ratio/low_mean": 0.0,
|
| 1118 |
+
"clip_ratio/low_min": 0.0,
|
| 1119 |
+
"clip_ratio/region_mean": 0.0,
|
| 1120 |
+
"completions/clipped_ratio": 0.3,
|
| 1121 |
+
"completions/max_length": 495.0,
|
| 1122 |
+
"completions/max_terminated_length": 351.0,
|
| 1123 |
+
"completions/mean_length": 328.8,
|
| 1124 |
+
"completions/mean_terminated_length": 243.7,
|
| 1125 |
+
"completions/min_length": 164.8,
|
| 1126 |
+
"completions/min_terminated_length": 164.8,
|
| 1127 |
+
"entropy": 1.4585140287876128,
|
| 1128 |
+
"epoch": 1.165644171779141,
|
| 1129 |
+
"frac_reward_zero_std": 0.2,
|
| 1130 |
+
"grad_norm": 4.987306118011475,
|
| 1131 |
+
"learning_rate": 2.1012269938650307e-07,
|
| 1132 |
+
"loss": -0.15080010890960693,
|
| 1133 |
+
"num_tokens": 665513.0,
|
| 1134 |
+
"reward": -0.050499990582466125,
|
| 1135 |
+
"reward_std": 0.2684710592031479,
|
| 1136 |
+
"rewards/format_reward/mean": 0.31000000387430193,
|
| 1137 |
+
"rewards/format_reward/std": 0.1994625985622406,
|
| 1138 |
+
"rewards/security_audit_reward/mean": -0.20500000119209288,
|
| 1139 |
+
"rewards/security_audit_reward/std": 0.31255176067352297,
|
| 1140 |
+
"step": 190,
|
| 1141 |
+
"step_time": 37.63543628939988
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"clip_ratio/high_max": 0.0,
|
| 1145 |
+
"clip_ratio/high_mean": 0.0,
|
| 1146 |
+
"clip_ratio/low_mean": 0.0,
|
| 1147 |
+
"clip_ratio/low_min": 0.0,
|
| 1148 |
+
"clip_ratio/region_mean": 0.0,
|
| 1149 |
+
"completions/clipped_ratio": 0.5,
|
| 1150 |
+
"completions/max_length": 512.0,
|
| 1151 |
+
"completions/max_terminated_length": 307.8,
|
| 1152 |
+
"completions/mean_length": 391.75,
|
| 1153 |
+
"completions/mean_terminated_length": 253.06666870117186,
|
| 1154 |
+
"completions/min_length": 178.0,
|
| 1155 |
+
"completions/min_terminated_length": 178.0,
|
| 1156 |
+
"entropy": 1.1293343544006347,
|
| 1157 |
+
"epoch": 1.196319018404908,
|
| 1158 |
+
"frac_reward_zero_std": 0.1,
|
| 1159 |
+
"grad_norm": 5.247244358062744,
|
| 1160 |
+
"learning_rate": 2.0245398773006135e-07,
|
| 1161 |
+
"loss": -0.04229157567024231,
|
| 1162 |
+
"num_tokens": 683268.0,
|
| 1163 |
+
"reward": -0.10224998965859414,
|
| 1164 |
+
"reward_std": 0.19266743455082178,
|
| 1165 |
+
"rewards/format_reward/mean": 0.3124999929219484,
|
| 1166 |
+
"rewards/format_reward/std": 0.1390557773411274,
|
| 1167 |
+
"rewards/security_audit_reward/mean": -0.2800000011920929,
|
| 1168 |
+
"rewards/security_audit_reward/std": 0.23863712549209595,
|
| 1169 |
+
"step": 195,
|
| 1170 |
+
"step_time": 38.93936442300037
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"clip_ratio/high_max": 0.0,
|
| 1174 |
+
"clip_ratio/high_mean": 0.0,
|
| 1175 |
+
"clip_ratio/low_mean": 0.0,
|
| 1176 |
+
"clip_ratio/low_min": 0.0,
|
| 1177 |
+
"clip_ratio/region_mean": 0.0,
|
| 1178 |
+
"completions/clipped_ratio": 0.4,
|
| 1179 |
+
"completions/max_length": 485.0,
|
| 1180 |
+
"completions/max_terminated_length": 346.2,
|
| 1181 |
+
"completions/mean_length": 364.6,
|
| 1182 |
+
"completions/mean_terminated_length": 265.8166748046875,
|
| 1183 |
+
"completions/min_length": 165.8,
|
| 1184 |
+
"completions/min_terminated_length": 165.8,
|
| 1185 |
+
"entropy": 0.8287177711725235,
|
| 1186 |
+
"epoch": 1.2269938650306749,
|
| 1187 |
+
"frac_reward_zero_std": 0.1,
|
| 1188 |
+
"grad_norm": 2.4230945110321045,
|
| 1189 |
+
"learning_rate": 1.9478527607361963e-07,
|
| 1190 |
+
"loss": -0.05633368492126465,
|
| 1191 |
+
"num_tokens": 700760.0,
|
| 1192 |
+
"reward": -0.1807499848306179,
|
| 1193 |
+
"reward_std": 0.18529897555708885,
|
| 1194 |
+
"rewards/format_reward/mean": 0.3075000137090683,
|
| 1195 |
+
"rewards/format_reward/std": 0.15467575192451477,
|
| 1196 |
+
"rewards/security_audit_reward/mean": -0.39000000059604645,
|
| 1197 |
+
"rewards/security_audit_reward/std": 0.2105652093887329,
|
| 1198 |
+
"step": 200,
|
| 1199 |
+
"step_time": 37.065423558799736
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"clip_ratio/high_max": 0.0,
|
| 1203 |
+
"clip_ratio/high_mean": 0.0,
|
| 1204 |
+
"clip_ratio/low_mean": 0.0,
|
| 1205 |
+
"clip_ratio/low_min": 0.0,
|
| 1206 |
+
"clip_ratio/region_mean": 0.0,
|
| 1207 |
+
"completions/clipped_ratio": 0.25,
|
| 1208 |
+
"completions/max_length": 431.6,
|
| 1209 |
+
"completions/max_terminated_length": 338.8,
|
| 1210 |
+
"completions/mean_length": 284.1,
|
| 1211 |
+
"completions/mean_terminated_length": 225.65,
|
| 1212 |
+
"completions/min_length": 119.4,
|
| 1213 |
+
"completions/min_terminated_length": 119.4,
|
| 1214 |
+
"entropy": 1.2736368715763091,
|
| 1215 |
+
"epoch": 1.2576687116564418,
|
| 1216 |
+
"frac_reward_zero_std": 0.1,
|
| 1217 |
+
"grad_norm": 4.797567367553711,
|
| 1218 |
+
"learning_rate": 1.8711656441717791e-07,
|
| 1219 |
+
"loss": 0.08297693133354186,
|
| 1220 |
+
"num_tokens": 716344.0,
|
| 1221 |
+
"reward": -0.07274999544024467,
|
| 1222 |
+
"reward_std": 0.24350565671920776,
|
| 1223 |
+
"rewards/format_reward/mean": 0.31749999821186065,
|
| 1224 |
+
"rewards/format_reward/std": 0.19669782146811485,
|
| 1225 |
+
"rewards/security_audit_reward/mean": -0.23999999985098838,
|
| 1226 |
+
"rewards/security_audit_reward/std": 0.2692204549908638,
|
| 1227 |
+
"step": 205,
|
| 1228 |
+
"step_time": 33.11877055760014
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"clip_ratio/high_max": 0.0,
|
| 1232 |
+
"clip_ratio/high_mean": 0.0,
|
| 1233 |
+
"clip_ratio/low_mean": 0.0,
|
| 1234 |
+
"clip_ratio/low_min": 0.0,
|
| 1235 |
+
"clip_ratio/region_mean": 0.0,
|
| 1236 |
+
"completions/clipped_ratio": 0.25,
|
| 1237 |
+
"completions/max_length": 484.0,
|
| 1238 |
+
"completions/max_terminated_length": 403.2,
|
| 1239 |
+
"completions/mean_length": 335.45,
|
| 1240 |
+
"completions/mean_terminated_length": 276.4500030517578,
|
| 1241 |
+
"completions/min_length": 173.8,
|
| 1242 |
+
"completions/min_terminated_length": 173.8,
|
| 1243 |
+
"entropy": 1.1084223449230195,
|
| 1244 |
+
"epoch": 1.2883435582822087,
|
| 1245 |
+
"frac_reward_zero_std": 0.1,
|
| 1246 |
+
"grad_norm": 2.4603023529052734,
|
| 1247 |
+
"learning_rate": 1.7944785276073617e-07,
|
| 1248 |
+
"loss": 0.07945090532302856,
|
| 1249 |
+
"num_tokens": 733245.0,
|
| 1250 |
+
"reward": -0.13774999380111694,
|
| 1251 |
+
"reward_std": 0.2730386942625046,
|
| 1252 |
+
"rewards/format_reward/mean": 0.2174999989569187,
|
| 1253 |
+
"rewards/format_reward/std": 0.22229814901947975,
|
| 1254 |
+
"rewards/security_audit_reward/mean": -0.29000000059604647,
|
| 1255 |
+
"rewards/security_audit_reward/std": 0.3105652093887329,
|
| 1256 |
+
"step": 210,
|
| 1257 |
+
"step_time": 37.03591289120122
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"clip_ratio/high_max": 0.0,
|
| 1261 |
+
"clip_ratio/high_mean": 0.0,
|
| 1262 |
+
"clip_ratio/low_mean": 0.0,
|
| 1263 |
+
"clip_ratio/low_min": 0.0,
|
| 1264 |
+
"clip_ratio/region_mean": 0.0,
|
| 1265 |
+
"completions/clipped_ratio": 0.4,
|
| 1266 |
+
"completions/max_length": 512.0,
|
| 1267 |
+
"completions/max_terminated_length": 361.8,
|
| 1268 |
+
"completions/mean_length": 345.0,
|
| 1269 |
+
"completions/mean_terminated_length": 261.3000030517578,
|
| 1270 |
+
"completions/min_length": 184.8,
|
| 1271 |
+
"completions/min_terminated_length": 184.8,
|
| 1272 |
+
"entropy": 1.2274070978164673,
|
| 1273 |
+
"epoch": 1.3190184049079754,
|
| 1274 |
+
"frac_reward_zero_std": 0.0,
|
| 1275 |
+
"grad_norm": 4.573819637298584,
|
| 1276 |
+
"learning_rate": 1.7177914110429448e-07,
|
| 1277 |
+
"loss": -0.07497722506523133,
|
| 1278 |
+
"num_tokens": 749917.0,
|
| 1279 |
+
"reward": -0.01174999624490738,
|
| 1280 |
+
"reward_std": 0.3002330154180527,
|
| 1281 |
+
"rewards/format_reward/mean": 0.3225000023841858,
|
| 1282 |
+
"rewards/format_reward/std": 0.1751384623348713,
|
| 1283 |
+
"rewards/security_audit_reward/mean": -0.15499999821186067,
|
| 1284 |
+
"rewards/security_audit_reward/std": 0.3648489773273468,
|
| 1285 |
+
"step": 215,
|
| 1286 |
+
"step_time": 38.89012140319937
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"clip_ratio/high_max": 0.0,
|
| 1290 |
+
"clip_ratio/high_mean": 0.0,
|
| 1291 |
+
"clip_ratio/low_mean": 0.0,
|
| 1292 |
+
"clip_ratio/low_min": 0.0,
|
| 1293 |
+
"clip_ratio/region_mean": 0.0,
|
| 1294 |
+
"completions/clipped_ratio": 0.2,
|
| 1295 |
+
"completions/max_length": 481.8,
|
| 1296 |
+
"completions/max_terminated_length": 344.6,
|
| 1297 |
+
"completions/mean_length": 292.3,
|
| 1298 |
+
"completions/mean_terminated_length": 234.26666870117188,
|
| 1299 |
+
"completions/min_length": 122.2,
|
| 1300 |
+
"completions/min_terminated_length": 122.2,
|
| 1301 |
+
"entropy": 1.1711494624614716,
|
| 1302 |
+
"epoch": 1.3496932515337423,
|
| 1303 |
+
"frac_reward_zero_std": 0.1,
|
| 1304 |
+
"grad_norm": 3.879939556121826,
|
| 1305 |
+
"learning_rate": 1.6411042944785276e-07,
|
| 1306 |
+
"loss": 0.06901218891143798,
|
| 1307 |
+
"num_tokens": 765457.0,
|
| 1308 |
+
"reward": -0.2002499908208847,
|
| 1309 |
+
"reward_std": 0.19745510853827,
|
| 1310 |
+
"rewards/format_reward/mean": 0.20749999657273294,
|
| 1311 |
+
"rewards/format_reward/std": 0.2098293460905552,
|
| 1312 |
+
"rewards/security_audit_reward/mean": -0.375,
|
| 1313 |
+
"rewards/security_audit_reward/std": 0.20773502588272094,
|
| 1314 |
+
"step": 220,
|
| 1315 |
+
"step_time": 36.50884771559977
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"clip_ratio/high_max": 0.0,
|
| 1319 |
+
"clip_ratio/high_mean": 0.0,
|
| 1320 |
+
"clip_ratio/low_mean": 0.0,
|
| 1321 |
+
"clip_ratio/low_min": 0.0,
|
| 1322 |
+
"clip_ratio/region_mean": 0.0,
|
| 1323 |
+
"completions/clipped_ratio": 0.35,
|
| 1324 |
+
"completions/max_length": 451.4,
|
| 1325 |
+
"completions/max_terminated_length": 281.8,
|
| 1326 |
+
"completions/mean_length": 310.85,
|
| 1327 |
+
"completions/mean_terminated_length": 210.58333435058594,
|
| 1328 |
+
"completions/min_length": 144.0,
|
| 1329 |
+
"completions/min_terminated_length": 144.0,
|
| 1330 |
+
"entropy": 1.4326449751853942,
|
| 1331 |
+
"epoch": 1.3803680981595092,
|
| 1332 |
+
"frac_reward_zero_std": 0.0,
|
| 1333 |
+
"grad_norm": 5.483170986175537,
|
| 1334 |
+
"learning_rate": 1.5644171779141104e-07,
|
| 1335 |
+
"loss": -0.03490494191646576,
|
| 1336 |
+
"num_tokens": 782226.0,
|
| 1337 |
+
"reward": -0.14649999141693115,
|
| 1338 |
+
"reward_std": 0.19791007936000823,
|
| 1339 |
+
"rewards/format_reward/mean": 0.3049999952316284,
|
| 1340 |
+
"rewards/format_reward/std": 0.19433450996875762,
|
| 1341 |
+
"rewards/security_audit_reward/mean": -0.3399999998509884,
|
| 1342 |
+
"rewards/security_audit_reward/std": 0.22000000029802322,
|
| 1343 |
+
"step": 225,
|
| 1344 |
+
"step_time": 35.079213985799655
|
| 1345 |
+
},
|
| 1346 |
+
{
|
| 1347 |
+
"clip_ratio/high_max": 0.0,
|
| 1348 |
+
"clip_ratio/high_mean": 0.0,
|
| 1349 |
+
"clip_ratio/low_mean": 0.0,
|
| 1350 |
+
"clip_ratio/low_min": 0.0,
|
| 1351 |
+
"clip_ratio/region_mean": 0.0,
|
| 1352 |
+
"completions/clipped_ratio": 0.35,
|
| 1353 |
+
"completions/max_length": 511.2,
|
| 1354 |
+
"completions/max_terminated_length": 315.2,
|
| 1355 |
+
"completions/mean_length": 338.15,
|
| 1356 |
+
"completions/mean_terminated_length": 226.28333435058593,
|
| 1357 |
+
"completions/min_length": 134.8,
|
| 1358 |
+
"completions/min_terminated_length": 134.8,
|
| 1359 |
+
"entropy": 1.1364098012447357,
|
| 1360 |
+
"epoch": 1.4110429447852761,
|
| 1361 |
+
"frac_reward_zero_std": 0.2,
|
| 1362 |
+
"grad_norm": 3.3578364849090576,
|
| 1363 |
+
"learning_rate": 1.4877300613496933e-07,
|
| 1364 |
+
"loss": 0.0896155834197998,
|
| 1365 |
+
"num_tokens": 798571.0,
|
| 1366 |
+
"reward": -0.11574998870491982,
|
| 1367 |
+
"reward_std": 0.19651760943233967,
|
| 1368 |
+
"rewards/format_reward/mean": 0.2674999989569187,
|
| 1369 |
+
"rewards/format_reward/std": 0.15046989992260934,
|
| 1370 |
+
"rewards/security_audit_reward/mean": -0.27999999821186067,
|
| 1371 |
+
"rewards/security_audit_reward/std": 0.2297215759754181,
|
| 1372 |
+
"step": 230,
|
| 1373 |
+
"step_time": 38.61798697480081
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"clip_ratio/high_max": 0.0,
|
| 1377 |
+
"clip_ratio/high_mean": 0.0,
|
| 1378 |
+
"clip_ratio/low_mean": 0.0,
|
| 1379 |
+
"clip_ratio/low_min": 0.0,
|
| 1380 |
+
"clip_ratio/region_mean": 0.0,
|
| 1381 |
+
"completions/clipped_ratio": 0.35,
|
| 1382 |
+
"completions/max_length": 505.4,
|
| 1383 |
+
"completions/max_terminated_length": 385.4,
|
| 1384 |
+
"completions/mean_length": 360.65,
|
| 1385 |
+
"completions/mean_terminated_length": 295.23333740234375,
|
| 1386 |
+
"completions/min_length": 210.2,
|
| 1387 |
+
"completions/min_terminated_length": 210.2,
|
| 1388 |
+
"entropy": 1.0565216183662414,
|
| 1389 |
+
"epoch": 1.441717791411043,
|
| 1390 |
+
"frac_reward_zero_std": 0.0,
|
| 1391 |
+
"grad_norm": 4.266097068786621,
|
| 1392 |
+
"learning_rate": 1.4110429447852758e-07,
|
| 1393 |
+
"loss": 0.07759050726890564,
|
| 1394 |
+
"num_tokens": 815570.0,
|
| 1395 |
+
"reward": -0.06749999299645423,
|
| 1396 |
+
"reward_std": 0.27374918162822726,
|
| 1397 |
+
"rewards/format_reward/mean": 0.37000001072883604,
|
| 1398 |
+
"rewards/format_reward/std": 0.1865294199436903,
|
| 1399 |
+
"rewards/security_audit_reward/mean": -0.2550000011920929,
|
| 1400 |
+
"rewards/security_audit_reward/std": 0.32802181243896483,
|
| 1401 |
+
"step": 235,
|
| 1402 |
+
"step_time": 38.44030983600023
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"clip_ratio/high_max": 0.0,
|
| 1406 |
+
"clip_ratio/high_mean": 0.0,
|
| 1407 |
+
"clip_ratio/low_mean": 0.0,
|
| 1408 |
+
"clip_ratio/low_min": 0.0,
|
| 1409 |
+
"clip_ratio/region_mean": 0.0,
|
| 1410 |
+
"completions/clipped_ratio": 0.3,
|
| 1411 |
+
"completions/max_length": 495.6,
|
| 1412 |
+
"completions/max_terminated_length": 352.6,
|
| 1413 |
+
"completions/mean_length": 336.05,
|
| 1414 |
+
"completions/mean_terminated_length": 243.60000915527343,
|
| 1415 |
+
"completions/min_length": 145.8,
|
| 1416 |
+
"completions/min_terminated_length": 145.8,
|
| 1417 |
+
"entropy": 1.417020809650421,
|
| 1418 |
+
"epoch": 1.4723926380368098,
|
| 1419 |
+
"frac_reward_zero_std": 0.2,
|
| 1420 |
+
"grad_norm": 4.767548084259033,
|
| 1421 |
+
"learning_rate": 1.334355828220859e-07,
|
| 1422 |
+
"loss": 0.03671485185623169,
|
| 1423 |
+
"num_tokens": 831713.0,
|
| 1424 |
+
"reward": -0.12849999219179153,
|
| 1425 |
+
"reward_std": 0.19381159394979477,
|
| 1426 |
+
"rewards/format_reward/mean": 0.3300000041723251,
|
| 1427 |
+
"rewards/format_reward/std": 0.20168980173766612,
|
| 1428 |
+
"rewards/security_audit_reward/mean": -0.325,
|
| 1429 |
+
"rewards/security_audit_reward/std": 0.20773502588272094,
|
| 1430 |
+
"step": 240,
|
| 1431 |
+
"step_time": 37.49174958900003
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"clip_ratio/high_max": 0.0,
|
| 1435 |
+
"clip_ratio/high_mean": 0.0,
|
| 1436 |
+
"clip_ratio/low_mean": 0.0,
|
| 1437 |
+
"clip_ratio/low_min": 0.0,
|
| 1438 |
+
"clip_ratio/region_mean": 0.0,
|
| 1439 |
+
"completions/clipped_ratio": 0.6,
|
| 1440 |
+
"completions/max_length": 512.0,
|
| 1441 |
+
"completions/max_terminated_length": 343.0,
|
| 1442 |
+
"completions/mean_length": 417.3,
|
| 1443 |
+
"completions/mean_terminated_length": 293.7,
|
| 1444 |
+
"completions/min_length": 246.8,
|
| 1445 |
+
"completions/min_terminated_length": 246.8,
|
| 1446 |
+
"entropy": 1.0088598132133484,
|
| 1447 |
+
"epoch": 1.5030674846625767,
|
| 1448 |
+
"frac_reward_zero_std": 0.0,
|
| 1449 |
+
"grad_norm": 3.1936607360839844,
|
| 1450 |
+
"learning_rate": 1.2576687116564417e-07,
|
| 1451 |
+
"loss": -0.03240810632705689,
|
| 1452 |
+
"num_tokens": 849855.0,
|
| 1453 |
+
"reward": -0.11324999332427979,
|
| 1454 |
+
"reward_std": 0.2602782666683197,
|
| 1455 |
+
"rewards/format_reward/mean": 0.3224999994039536,
|
| 1456 |
+
"rewards/format_reward/std": 0.20757876634597777,
|
| 1457 |
+
"rewards/security_audit_reward/mean": -0.3,
|
| 1458 |
+
"rewards/security_audit_reward/std": 0.3154700517654419,
|
| 1459 |
+
"step": 245,
|
| 1460 |
+
"step_time": 39.07302968719996
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"clip_ratio/high_max": 0.0,
|
| 1464 |
+
"clip_ratio/high_mean": 0.0,
|
| 1465 |
+
"clip_ratio/low_mean": 0.0,
|
| 1466 |
+
"clip_ratio/low_min": 0.0,
|
| 1467 |
+
"clip_ratio/region_mean": 0.0,
|
| 1468 |
+
"completions/clipped_ratio": 0.2,
|
| 1469 |
+
"completions/max_length": 459.6,
|
| 1470 |
+
"completions/max_terminated_length": 428.2,
|
| 1471 |
+
"completions/mean_length": 325.35,
|
| 1472 |
+
"completions/mean_terminated_length": 277.5833374023438,
|
| 1473 |
+
"completions/min_length": 137.0,
|
| 1474 |
+
"completions/min_terminated_length": 137.0,
|
| 1475 |
+
"entropy": 1.1867628961801528,
|
| 1476 |
+
"epoch": 1.5337423312883436,
|
| 1477 |
+
"frac_reward_zero_std": 0.1,
|
| 1478 |
+
"grad_norm": 3.9449942111968994,
|
| 1479 |
+
"learning_rate": 1.1809815950920244e-07,
|
| 1480 |
+
"loss": -0.005416367202997208,
|
| 1481 |
+
"num_tokens": 866330.0,
|
| 1482 |
+
"reward": -0.08199999034404755,
|
| 1483 |
+
"reward_std": 0.2747137784957886,
|
| 1484 |
+
"rewards/format_reward/mean": 0.3099999874830246,
|
| 1485 |
+
"rewards/format_reward/std": 0.17935641929507257,
|
| 1486 |
+
"rewards/security_audit_reward/mean": -0.25,
|
| 1487 |
+
"rewards/security_audit_reward/std": 0.33094010353088377,
|
| 1488 |
+
"step": 250,
|
| 1489 |
+
"step_time": 35.27377968320034
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"clip_ratio/high_max": 0.0,
|
| 1493 |
+
"clip_ratio/high_mean": 0.0,
|
| 1494 |
+
"clip_ratio/low_mean": 0.0,
|
| 1495 |
+
"clip_ratio/low_min": 0.0,
|
| 1496 |
+
"clip_ratio/region_mean": 0.0,
|
| 1497 |
+
"completions/clipped_ratio": 0.25,
|
| 1498 |
+
"completions/max_length": 450.0,
|
| 1499 |
+
"completions/max_terminated_length": 311.2,
|
| 1500 |
+
"completions/mean_length": 283.8,
|
| 1501 |
+
"completions/mean_terminated_length": 202.06666870117186,
|
| 1502 |
+
"completions/min_length": 128.0,
|
| 1503 |
+
"completions/min_terminated_length": 128.0,
|
| 1504 |
+
"entropy": 1.322118791937828,
|
| 1505 |
+
"epoch": 1.5644171779141103,
|
| 1506 |
+
"frac_reward_zero_std": 0.1,
|
| 1507 |
+
"grad_norm": 6.9948039054870605,
|
| 1508 |
+
"learning_rate": 1.1042944785276073e-07,
|
| 1509 |
+
"loss": 0.055895209312438965,
|
| 1510 |
+
"num_tokens": 881650.0,
|
| 1511 |
+
"reward": -0.11924999132752419,
|
| 1512 |
+
"reward_std": 0.14510822538286447,
|
| 1513 |
+
"rewards/format_reward/mean": 0.3024999976158142,
|
| 1514 |
+
"rewards/format_reward/std": 0.15741010159254074,
|
| 1515 |
+
"rewards/security_audit_reward/mean": -0.3,
|
| 1516 |
+
"rewards/security_audit_reward/std": 0.15773502588272095,
|
| 1517 |
+
"step": 255,
|
| 1518 |
+
"step_time": 34.332786842800125
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"clip_ratio/high_max": 0.0,
|
| 1522 |
+
"clip_ratio/high_mean": 0.0,
|
| 1523 |
+
"clip_ratio/low_mean": 0.0,
|
| 1524 |
+
"clip_ratio/low_min": 0.0,
|
| 1525 |
+
"clip_ratio/region_mean": 0.0,
|
| 1526 |
+
"completions/clipped_ratio": 0.3,
|
| 1527 |
+
"completions/max_length": 485.0,
|
| 1528 |
+
"completions/max_terminated_length": 312.2,
|
| 1529 |
+
"completions/mean_length": 312.0,
|
| 1530 |
+
"completions/mean_terminated_length": 225.13333740234376,
|
| 1531 |
+
"completions/min_length": 141.8,
|
| 1532 |
+
"completions/min_terminated_length": 141.8,
|
| 1533 |
+
"entropy": 1.1261488378047944,
|
| 1534 |
+
"epoch": 1.5950920245398774,
|
| 1535 |
+
"frac_reward_zero_std": 0.1,
|
| 1536 |
+
"grad_norm": 5.633542537689209,
|
| 1537 |
+
"learning_rate": 1.0276073619631902e-07,
|
| 1538 |
+
"loss": 0.12422184944152832,
|
| 1539 |
+
"num_tokens": 898170.0,
|
| 1540 |
+
"reward": -0.09424999356269836,
|
| 1541 |
+
"reward_std": 0.2452640563249588,
|
| 1542 |
+
"rewards/format_reward/mean": 0.3274999916553497,
|
| 1543 |
+
"rewards/format_reward/std": 0.19424656331539153,
|
| 1544 |
+
"rewards/security_audit_reward/mean": -0.275,
|
| 1545 |
+
"rewards/security_audit_reward/std": 0.29574271440505984,
|
| 1546 |
+
"step": 260,
|
| 1547 |
+
"step_time": 37.18088837539908
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"clip_ratio/high_max": 0.0,
|
| 1551 |
+
"clip_ratio/high_mean": 0.0,
|
| 1552 |
+
"clip_ratio/low_mean": 0.0,
|
| 1553 |
+
"clip_ratio/low_min": 0.0,
|
| 1554 |
+
"clip_ratio/region_mean": 0.0,
|
| 1555 |
+
"completions/clipped_ratio": 0.3,
|
| 1556 |
+
"completions/max_length": 481.4,
|
| 1557 |
+
"completions/max_terminated_length": 333.8,
|
| 1558 |
+
"completions/mean_length": 323.4,
|
| 1559 |
+
"completions/mean_terminated_length": 233.95,
|
| 1560 |
+
"completions/min_length": 174.6,
|
| 1561 |
+
"completions/min_terminated_length": 174.6,
|
| 1562 |
+
"entropy": 1.3164357602596284,
|
| 1563 |
+
"epoch": 1.6257668711656441,
|
| 1564 |
+
"frac_reward_zero_std": 0.2,
|
| 1565 |
+
"grad_norm": 4.177126884460449,
|
| 1566 |
+
"learning_rate": 9.50920245398773e-08,
|
| 1567 |
+
"loss": -0.0031075358390808107,
|
| 1568 |
+
"num_tokens": 914438.0,
|
| 1569 |
+
"reward": -0.109499990940094,
|
| 1570 |
+
"reward_std": 0.19355954378843307,
|
| 1571 |
+
"rewards/format_reward/mean": 0.3700000077486038,
|
| 1572 |
+
"rewards/format_reward/std": 0.19431518614292145,
|
| 1573 |
+
"rewards/security_audit_reward/mean": -0.31500000059604644,
|
| 1574 |
+
"rewards/security_audit_reward/std": 0.21745660305023193,
|
| 1575 |
+
"step": 265,
|
| 1576 |
+
"step_time": 36.75480746599969
|
| 1577 |
+
},
|
| 1578 |
+
{
|
| 1579 |
+
"clip_ratio/high_max": 0.0,
|
| 1580 |
+
"clip_ratio/high_mean": 0.0,
|
| 1581 |
+
"clip_ratio/low_mean": 0.0,
|
| 1582 |
+
"clip_ratio/low_min": 0.0,
|
| 1583 |
+
"clip_ratio/region_mean": 0.0,
|
| 1584 |
+
"completions/clipped_ratio": 0.15,
|
| 1585 |
+
"completions/max_length": 460.2,
|
| 1586 |
+
"completions/max_terminated_length": 279.2,
|
| 1587 |
+
"completions/mean_length": 224.9,
|
| 1588 |
+
"completions/mean_terminated_length": 170.45000305175782,
|
| 1589 |
+
"completions/min_length": 84.4,
|
| 1590 |
+
"completions/min_terminated_length": 84.4,
|
| 1591 |
+
"entropy": 1.267154586315155,
|
| 1592 |
+
"epoch": 1.656441717791411,
|
| 1593 |
+
"frac_reward_zero_std": 0.2,
|
| 1594 |
+
"grad_norm": 7.552680015563965,
|
| 1595 |
+
"learning_rate": 8.742331288343557e-08,
|
| 1596 |
+
"loss": -0.12154214382171631,
|
| 1597 |
+
"num_tokens": 928536.0,
|
| 1598 |
+
"reward": -0.07999998778104782,
|
| 1599 |
+
"reward_std": 0.16925212144851684,
|
| 1600 |
+
"rewards/format_reward/mean": 0.37499999403953554,
|
| 1601 |
+
"rewards/format_reward/std": 0.1521439790725708,
|
| 1602 |
+
"rewards/security_audit_reward/mean": -0.275,
|
| 1603 |
+
"rewards/security_audit_reward/std": 0.20773502588272094,
|
| 1604 |
+
"step": 270,
|
| 1605 |
+
"step_time": 35.04094967719975
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"clip_ratio/high_max": 0.0,
|
| 1609 |
+
"clip_ratio/high_mean": 0.0,
|
| 1610 |
+
"clip_ratio/low_mean": 0.0,
|
| 1611 |
+
"clip_ratio/low_min": 0.0,
|
| 1612 |
+
"clip_ratio/region_mean": 0.0,
|
| 1613 |
+
"completions/clipped_ratio": 0.3,
|
| 1614 |
+
"completions/max_length": 469.4,
|
| 1615 |
+
"completions/max_terminated_length": 287.6,
|
| 1616 |
+
"completions/mean_length": 300.95,
|
| 1617 |
+
"completions/mean_terminated_length": 204.76667175292968,
|
| 1618 |
+
"completions/min_length": 130.0,
|
| 1619 |
+
"completions/min_terminated_length": 130.0,
|
| 1620 |
+
"entropy": 1.1936017721891403,
|
| 1621 |
+
"epoch": 1.687116564417178,
|
| 1622 |
+
"frac_reward_zero_std": 0.2,
|
| 1623 |
+
"grad_norm": 7.106525421142578,
|
| 1624 |
+
"learning_rate": 7.975460122699386e-08,
|
| 1625 |
+
"loss": -0.0458857923746109,
|
| 1626 |
+
"num_tokens": 944307.0,
|
| 1627 |
+
"reward": -0.05174999088048935,
|
| 1628 |
+
"reward_std": 0.23333178758621215,
|
| 1629 |
+
"rewards/format_reward/mean": 0.3874999940395355,
|
| 1630 |
+
"rewards/format_reward/std": 0.16559004038572311,
|
| 1631 |
+
"rewards/security_audit_reward/mean": -0.24000000059604645,
|
| 1632 |
+
"rewards/security_audit_reward/std": 0.2866505742073059,
|
| 1633 |
+
"step": 275,
|
| 1634 |
+
"step_time": 36.0470411268001
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"clip_ratio/high_max": 0.0,
|
| 1638 |
+
"clip_ratio/high_mean": 0.0,
|
| 1639 |
+
"clip_ratio/low_mean": 0.0,
|
| 1640 |
+
"clip_ratio/low_min": 0.0,
|
| 1641 |
+
"clip_ratio/region_mean": 0.0,
|
| 1642 |
+
"completions/clipped_ratio": 0.2,
|
| 1643 |
+
"completions/max_length": 498.6,
|
| 1644 |
+
"completions/max_terminated_length": 375.0,
|
| 1645 |
+
"completions/mean_length": 295.25,
|
| 1646 |
+
"completions/mean_terminated_length": 232.6666717529297,
|
| 1647 |
+
"completions/min_length": 97.8,
|
| 1648 |
+
"completions/min_terminated_length": 97.8,
|
| 1649 |
+
"entropy": 1.460896384716034,
|
| 1650 |
+
"epoch": 1.7177914110429446,
|
| 1651 |
+
"frac_reward_zero_std": 0.0,
|
| 1652 |
+
"grad_norm": 5.004129409790039,
|
| 1653 |
+
"learning_rate": 7.208588957055214e-08,
|
| 1654 |
+
"loss": -0.10658804178237916,
|
| 1655 |
+
"num_tokens": 960078.0,
|
| 1656 |
+
"reward": -0.01824999153614044,
|
| 1657 |
+
"reward_std": 0.2521414369344711,
|
| 1658 |
+
"rewards/format_reward/mean": 0.3825000047683716,
|
| 1659 |
+
"rewards/format_reward/std": 0.15327396541833876,
|
| 1660 |
+
"rewards/security_audit_reward/mean": -0.1899999976158142,
|
| 1661 |
+
"rewards/security_audit_reward/std": 0.3234777390956879,
|
| 1662 |
+
"step": 280,
|
| 1663 |
+
"step_time": 37.26412723539943
|
| 1664 |
+
},
|
| 1665 |
+
{
|
| 1666 |
+
"clip_ratio/high_max": 0.0,
|
| 1667 |
+
"clip_ratio/high_mean": 0.0,
|
| 1668 |
+
"clip_ratio/low_mean": 0.0,
|
| 1669 |
+
"clip_ratio/low_min": 0.0,
|
| 1670 |
+
"clip_ratio/region_mean": 0.0,
|
| 1671 |
+
"completions/clipped_ratio": 0.3,
|
| 1672 |
+
"completions/max_length": 501.0,
|
| 1673 |
+
"completions/max_terminated_length": 363.2,
|
| 1674 |
+
"completions/mean_length": 340.6,
|
| 1675 |
+
"completions/mean_terminated_length": 257.06666870117186,
|
| 1676 |
+
"completions/min_length": 146.2,
|
| 1677 |
+
"completions/min_terminated_length": 146.2,
|
| 1678 |
+
"entropy": 1.0431257128715514,
|
| 1679 |
+
"epoch": 1.7484662576687118,
|
| 1680 |
+
"frac_reward_zero_std": 0.1,
|
| 1681 |
+
"grad_norm": 4.059199333190918,
|
| 1682 |
+
"learning_rate": 6.441717791411043e-08,
|
| 1683 |
+
"loss": -0.10386581420898437,
|
| 1684 |
+
"num_tokens": 976992.0,
|
| 1685 |
+
"reward": -0.06924999207258224,
|
| 1686 |
+
"reward_std": 0.2484972782433033,
|
| 1687 |
+
"rewards/format_reward/mean": 0.38750000596046447,
|
| 1688 |
+
"rewards/format_reward/std": 0.1250488668680191,
|
| 1689 |
+
"rewards/security_audit_reward/mean": -0.26500000059604645,
|
| 1690 |
+
"rewards/security_audit_reward/std": 0.3080150008201599,
|
| 1691 |
+
"step": 285,
|
| 1692 |
+
"step_time": 38.17630281240017
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"clip_ratio/high_max": 0.0,
|
| 1696 |
+
"clip_ratio/high_mean": 0.0,
|
| 1697 |
+
"clip_ratio/low_mean": 0.0,
|
| 1698 |
+
"clip_ratio/low_min": 0.0,
|
| 1699 |
+
"clip_ratio/region_mean": 0.0,
|
| 1700 |
+
"completions/clipped_ratio": 0.05,
|
| 1701 |
+
"completions/max_length": 435.0,
|
| 1702 |
+
"completions/max_terminated_length": 413.6,
|
| 1703 |
+
"completions/mean_length": 281.65,
|
| 1704 |
+
"completions/mean_terminated_length": 274.0,
|
| 1705 |
+
"completions/min_length": 152.0,
|
| 1706 |
+
"completions/min_terminated_length": 152.0,
|
| 1707 |
+
"entropy": 1.1775987446308136,
|
| 1708 |
+
"epoch": 1.7791411042944785,
|
| 1709 |
+
"frac_reward_zero_std": 0.3,
|
| 1710 |
+
"grad_norm": 4.12350606918335,
|
| 1711 |
+
"learning_rate": 5.674846625766871e-08,
|
| 1712 |
+
"loss": -0.03856886327266693,
|
| 1713 |
+
"num_tokens": 992819.0,
|
| 1714 |
+
"reward": -0.05999999046325684,
|
| 1715 |
+
"reward_std": 0.1456713281571865,
|
| 1716 |
+
"rewards/format_reward/mean": 0.360000005364418,
|
| 1717 |
+
"rewards/format_reward/std": 0.12044776938855647,
|
| 1718 |
+
"rewards/security_audit_reward/mean": -0.23999999985098838,
|
| 1719 |
+
"rewards/security_audit_reward/std": 0.17773502618074416,
|
| 1720 |
+
"step": 290,
|
| 1721 |
+
"step_time": 33.279480656001034
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"clip_ratio/high_max": 0.0,
|
| 1725 |
+
"clip_ratio/high_mean": 0.0,
|
| 1726 |
+
"clip_ratio/low_mean": 0.0,
|
| 1727 |
+
"clip_ratio/low_min": 0.0,
|
| 1728 |
+
"clip_ratio/region_mean": 0.0,
|
| 1729 |
+
"completions/clipped_ratio": 0.15,
|
| 1730 |
+
"completions/max_length": 470.0,
|
| 1731 |
+
"completions/max_terminated_length": 383.0,
|
| 1732 |
+
"completions/mean_length": 306.15,
|
| 1733 |
+
"completions/mean_terminated_length": 264.66666717529296,
|
| 1734 |
+
"completions/min_length": 170.8,
|
| 1735 |
+
"completions/min_terminated_length": 170.8,
|
| 1736 |
+
"entropy": 1.3437508165836334,
|
| 1737 |
+
"epoch": 1.8098159509202454,
|
| 1738 |
+
"frac_reward_zero_std": 0.0,
|
| 1739 |
+
"grad_norm": 5.014013290405273,
|
| 1740 |
+
"learning_rate": 4.907975460122699e-08,
|
| 1741 |
+
"loss": 0.1800641179084778,
|
| 1742 |
+
"num_tokens": 1008676.0,
|
| 1743 |
+
"reward": -0.14524998962879182,
|
| 1744 |
+
"reward_std": 0.19439554661512376,
|
| 1745 |
+
"rewards/format_reward/mean": 0.33249999284744264,
|
| 1746 |
+
"rewards/format_reward/std": 0.21220951080322265,
|
| 1747 |
+
"rewards/security_audit_reward/mean": -0.35,
|
| 1748 |
+
"rewards/security_audit_reward/std": 0.2154700517654419,
|
| 1749 |
+
"step": 295,
|
| 1750 |
+
"step_time": 35.92737517459973
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"clip_ratio/high_max": 0.0,
|
| 1754 |
+
"clip_ratio/high_mean": 0.0,
|
| 1755 |
+
"clip_ratio/low_mean": 0.0,
|
| 1756 |
+
"clip_ratio/low_min": 0.0,
|
| 1757 |
+
"clip_ratio/region_mean": 0.0,
|
| 1758 |
+
"completions/clipped_ratio": 0.3,
|
| 1759 |
+
"completions/max_length": 471.6,
|
| 1760 |
+
"completions/max_terminated_length": 299.6,
|
| 1761 |
+
"completions/mean_length": 360.45,
|
| 1762 |
+
"completions/mean_terminated_length": 234.9166687011719,
|
| 1763 |
+
"completions/min_length": 229.0,
|
| 1764 |
+
"completions/min_terminated_length": 126.6,
|
| 1765 |
+
"entropy": 1.1840724140405654,
|
| 1766 |
+
"epoch": 1.8404907975460123,
|
| 1767 |
+
"frac_reward_zero_std": 0.1,
|
| 1768 |
+
"grad_norm": 2.570652484893799,
|
| 1769 |
+
"learning_rate": 4.1411042944785274e-08,
|
| 1770 |
+
"loss": 0.019638296961784363,
|
| 1771 |
+
"num_tokens": 1025285.0,
|
| 1772 |
+
"reward": -0.06699999049305916,
|
| 1773 |
+
"reward_std": 0.2400740846991539,
|
| 1774 |
+
"rewards/format_reward/mean": 0.3600000023841858,
|
| 1775 |
+
"rewards/format_reward/std": 0.1531308189034462,
|
| 1776 |
+
"rewards/security_audit_reward/mean": -0.25,
|
| 1777 |
+
"rewards/security_audit_reward/std": 0.2868344783782959,
|
| 1778 |
+
"step": 300,
|
| 1779 |
+
"step_time": 35.41554451999982
|
| 1780 |
+
}
|
| 1781 |
+
],
|
| 1782 |
+
"logging_steps": 5,
|
| 1783 |
+
"max_steps": 326,
|
| 1784 |
+
"num_input_tokens_seen": 1025285,
|
| 1785 |
+
"num_train_epochs": 2,
|
| 1786 |
+
"save_steps": 50,
|
| 1787 |
+
"stateful_callbacks": {
|
| 1788 |
+
"TrainerControl": {
|
| 1789 |
+
"args": {
|
| 1790 |
+
"should_epoch_stop": false,
|
| 1791 |
+
"should_evaluate": false,
|
| 1792 |
+
"should_log": false,
|
| 1793 |
+
"should_save": true,
|
| 1794 |
+
"should_training_stop": false
|
| 1795 |
+
},
|
| 1796 |
+
"attributes": {}
|
| 1797 |
+
}
|
| 1798 |
+
},
|
| 1799 |
+
"total_flos": 0.0,
|
| 1800 |
+
"train_batch_size": 2,
|
| 1801 |
+
"trial_name": null,
|
| 1802 |
+
"trial_params": null
|
| 1803 |
+
}
|
checkpoint-300/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b51f3856815802830b7add9e23ddd089207e5c9941078dd606f120af0f983d09
|
| 3 |
+
size 6776
|
checkpoint-326/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
checkpoint-326/config.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": null,
|
| 7 |
+
"dtype": "float32",
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 896,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 4864,
|
| 13 |
+
"layer_types": [
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention"
|
| 38 |
+
],
|
| 39 |
+
"max_position_embeddings": 32768,
|
| 40 |
+
"max_window_layers": 24,
|
| 41 |
+
"model_type": "qwen2",
|
| 42 |
+
"num_attention_heads": 14,
|
| 43 |
+
"num_hidden_layers": 24,
|
| 44 |
+
"num_key_value_heads": 2,
|
| 45 |
+
"pad_token_id": 151643,
|
| 46 |
+
"rms_norm_eps": 1e-06,
|
| 47 |
+
"rope_parameters": {
|
| 48 |
+
"rope_theta": 1000000.0,
|
| 49 |
+
"rope_type": "default"
|
| 50 |
+
},
|
| 51 |
+
"sliding_window": null,
|
| 52 |
+
"tie_word_embeddings": true,
|
| 53 |
+
"transformers_version": "5.6.2",
|
| 54 |
+
"use_cache": false,
|
| 55 |
+
"use_sliding_window": false,
|
| 56 |
+
"vocab_size": 151936
|
| 57 |
+
}
|
checkpoint-326/generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_sample": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151645,
|
| 5 |
+
151643
|
| 6 |
+
],
|
| 7 |
+
"pad_token_id": 151643,
|
| 8 |
+
"repetition_penalty": 1.05,
|
| 9 |
+
"temperature": 0.7,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.8,
|
| 12 |
+
"transformers_version": "5.6.2"
|
| 13 |
+
}
|
checkpoint-326/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c64421ad1b2b08b8f84687a636657a68a9f6c9ef639c6c2dc449cb93d2c4219
|
| 3 |
+
size 1976163472
|
checkpoint-326/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2029a2d6a0a790f550621622c3c990b0d5f81492de3d7642988e1fa042d3a073
|
| 3 |
+
size 3952505274
|
checkpoint-326/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7709cb910b037a9984c235d2fc7fe7fd99ccb8982993a4ca396269149709e777
|
| 3 |
+
size 14244
|
checkpoint-326/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f3aa6a7bb4866149bd0f10ff54d9da7e2c37c93aa3f37a2a6471c11bd6760f19
|
| 3 |
+
size 1064
|
checkpoint-326/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
checkpoint-326/tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"local_files_only": false,
|
| 25 |
+
"model_max_length": 32768,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"padding_side": "left",
|
| 28 |
+
"split_special_tokens": false,
|
| 29 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 30 |
+
"truncation_side": "left",
|
| 31 |
+
"unk_token": null
|
| 32 |
+
}
|
checkpoint-326/trainer_state.json
ADDED
|
@@ -0,0 +1,1948 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 326,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.75,
|
| 19 |
+
"completions/max_length": 512.0,
|
| 20 |
+
"completions/max_terminated_length": 37.0,
|
| 21 |
+
"completions/mean_length": 393.25,
|
| 22 |
+
"completions/mean_terminated_length": 37.0,
|
| 23 |
+
"completions/min_length": 37.0,
|
| 24 |
+
"completions/min_terminated_length": 37.0,
|
| 25 |
+
"entropy": 1.4897738695144653,
|
| 26 |
+
"epoch": 0.006134969325153374,
|
| 27 |
+
"frac_reward_zero_std": 0.5,
|
| 28 |
+
"grad_norm": 2.2988293170928955,
|
| 29 |
+
"learning_rate": 5e-07,
|
| 30 |
+
"loss": -0.21252349019050598,
|
| 31 |
+
"num_tokens": 3567.0,
|
| 32 |
+
"reward": -0.3424999713897705,
|
| 33 |
+
"reward_std": 0.01500000525265932,
|
| 34 |
+
"rewards/format_reward/mean": 0.02500000037252903,
|
| 35 |
+
"rewards/format_reward/std": 0.05000000074505806,
|
| 36 |
+
"rewards/security_audit_reward/mean": -0.5,
|
| 37 |
+
"rewards/security_audit_reward/std": 0.0,
|
| 38 |
+
"step": 1,
|
| 39 |
+
"step_time": 39.508622552999896
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"clip_ratio/high_max": 0.0,
|
| 43 |
+
"clip_ratio/high_mean": 0.0,
|
| 44 |
+
"clip_ratio/low_mean": 0.0,
|
| 45 |
+
"clip_ratio/low_min": 0.0,
|
| 46 |
+
"clip_ratio/region_mean": 0.0,
|
| 47 |
+
"completions/clipped_ratio": 0.5,
|
| 48 |
+
"completions/max_length": 512.0,
|
| 49 |
+
"completions/max_terminated_length": 248.75,
|
| 50 |
+
"completions/mean_length": 389.625,
|
| 51 |
+
"completions/mean_terminated_length": 192.79166793823242,
|
| 52 |
+
"completions/min_length": 272.75,
|
| 53 |
+
"completions/min_terminated_length": 144.75,
|
| 54 |
+
"entropy": 1.363443061709404,
|
| 55 |
+
"epoch": 0.03067484662576687,
|
| 56 |
+
"frac_reward_zero_std": 0.375,
|
| 57 |
+
"grad_norm": 4.688082218170166,
|
| 58 |
+
"learning_rate": 4.938650306748465e-07,
|
| 59 |
+
"loss": 0.04808004945516586,
|
| 60 |
+
"num_tokens": 17675.0,
|
| 61 |
+
"reward": -0.2981249839067459,
|
| 62 |
+
"reward_std": 0.08178356755524874,
|
| 63 |
+
"rewards/format_reward/mean": 0.10000000381842256,
|
| 64 |
+
"rewards/format_reward/std": 0.12774468399584293,
|
| 65 |
+
"rewards/security_audit_reward/mean": -0.46875,
|
| 66 |
+
"rewards/security_audit_reward/std": 0.0625,
|
| 67 |
+
"step": 5,
|
| 68 |
+
"step_time": 38.500043476749966
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"clip_ratio/high_max": 0.0,
|
| 72 |
+
"clip_ratio/high_mean": 0.0,
|
| 73 |
+
"clip_ratio/low_mean": 0.0,
|
| 74 |
+
"clip_ratio/low_min": 0.0,
|
| 75 |
+
"clip_ratio/region_mean": 0.0,
|
| 76 |
+
"completions/clipped_ratio": 0.65,
|
| 77 |
+
"completions/max_length": 512.0,
|
| 78 |
+
"completions/max_terminated_length": 345.6,
|
| 79 |
+
"completions/mean_length": 463.0,
|
| 80 |
+
"completions/mean_terminated_length": 305.6,
|
| 81 |
+
"completions/min_length": 363.8,
|
| 82 |
+
"completions/min_terminated_length": 261.4,
|
| 83 |
+
"entropy": 1.4113845229148865,
|
| 84 |
+
"epoch": 0.06134969325153374,
|
| 85 |
+
"frac_reward_zero_std": 0.4,
|
| 86 |
+
"grad_norm": 3.245452880859375,
|
| 87 |
+
"learning_rate": 4.86196319018405e-07,
|
| 88 |
+
"loss": -0.00041331946849823,
|
| 89 |
+
"num_tokens": 37093.0,
|
| 90 |
+
"reward": -0.29424998760223386,
|
| 91 |
+
"reward_std": 0.08391451295465231,
|
| 92 |
+
"rewards/format_reward/mean": 0.12750000804662703,
|
| 93 |
+
"rewards/format_reward/std": 0.16304838731884957,
|
| 94 |
+
"rewards/security_audit_reward/mean": -0.475,
|
| 95 |
+
"rewards/security_audit_reward/std": 0.05,
|
| 96 |
+
"step": 10,
|
| 97 |
+
"step_time": 39.192330704800135
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"clip_ratio/high_max": 0.0,
|
| 101 |
+
"clip_ratio/high_mean": 0.0,
|
| 102 |
+
"clip_ratio/low_mean": 0.0,
|
| 103 |
+
"clip_ratio/low_min": 0.0,
|
| 104 |
+
"clip_ratio/region_mean": 0.0,
|
| 105 |
+
"completions/clipped_ratio": 0.6,
|
| 106 |
+
"completions/max_length": 512.0,
|
| 107 |
+
"completions/max_terminated_length": 394.0,
|
| 108 |
+
"completions/mean_length": 455.5,
|
| 109 |
+
"completions/mean_terminated_length": 352.9,
|
| 110 |
+
"completions/min_length": 311.8,
|
| 111 |
+
"completions/min_terminated_length": 311.8,
|
| 112 |
+
"entropy": 1.179759132862091,
|
| 113 |
+
"epoch": 0.09202453987730061,
|
| 114 |
+
"frac_reward_zero_std": 0.7,
|
| 115 |
+
"grad_norm": 2.9624693393707275,
|
| 116 |
+
"learning_rate": 4.785276073619632e-07,
|
| 117 |
+
"loss": 0.03452911972999573,
|
| 118 |
+
"num_tokens": 55311.0,
|
| 119 |
+
"reward": -0.2887499898672104,
|
| 120 |
+
"reward_std": 0.09658594038337469,
|
| 121 |
+
"rewards/format_reward/mean": 0.0875,
|
| 122 |
+
"rewards/format_reward/std": 0.08947573080658913,
|
| 123 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 124 |
+
"rewards/security_audit_reward/std": 0.1,
|
| 125 |
+
"step": 15,
|
| 126 |
+
"step_time": 38.30515608799997
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"clip_ratio/high_max": 0.0,
|
| 130 |
+
"clip_ratio/high_mean": 0.0,
|
| 131 |
+
"clip_ratio/low_mean": 0.0,
|
| 132 |
+
"clip_ratio/low_min": 0.0,
|
| 133 |
+
"clip_ratio/region_mean": 0.0,
|
| 134 |
+
"completions/clipped_ratio": 0.45,
|
| 135 |
+
"completions/max_length": 512.0,
|
| 136 |
+
"completions/max_terminated_length": 395.2,
|
| 137 |
+
"completions/mean_length": 416.9,
|
| 138 |
+
"completions/mean_terminated_length": 328.76666870117185,
|
| 139 |
+
"completions/min_length": 260.8,
|
| 140 |
+
"completions/min_terminated_length": 260.8,
|
| 141 |
+
"entropy": 1.298638153076172,
|
| 142 |
+
"epoch": 0.12269938650306748,
|
| 143 |
+
"frac_reward_zero_std": 0.2,
|
| 144 |
+
"grad_norm": 4.034470081329346,
|
| 145 |
+
"learning_rate": 4.7085889570552147e-07,
|
| 146 |
+
"loss": -0.008246073126792907,
|
| 147 |
+
"num_tokens": 72771.0,
|
| 148 |
+
"reward": -0.23124998807907104,
|
| 149 |
+
"reward_std": 0.16768747363239528,
|
| 150 |
+
"rewards/format_reward/mean": 0.19750000424683095,
|
| 151 |
+
"rewards/format_reward/std": 0.2057904489338398,
|
| 152 |
+
"rewards/security_audit_reward/mean": -0.4149999976158142,
|
| 153 |
+
"rewards/security_audit_reward/std": 0.16999999880790712,
|
| 154 |
+
"step": 20,
|
| 155 |
+
"step_time": 37.87772348239996
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"clip_ratio/high_max": 0.0,
|
| 159 |
+
"clip_ratio/high_mean": 0.0,
|
| 160 |
+
"clip_ratio/low_mean": 0.0,
|
| 161 |
+
"clip_ratio/low_min": 0.0,
|
| 162 |
+
"clip_ratio/region_mean": 0.0,
|
| 163 |
+
"completions/clipped_ratio": 0.3,
|
| 164 |
+
"completions/max_length": 512.0,
|
| 165 |
+
"completions/max_terminated_length": 423.4,
|
| 166 |
+
"completions/mean_length": 382.1,
|
| 167 |
+
"completions/mean_terminated_length": 334.1000091552734,
|
| 168 |
+
"completions/min_length": 236.0,
|
| 169 |
+
"completions/min_terminated_length": 236.0,
|
| 170 |
+
"entropy": 1.317835807800293,
|
| 171 |
+
"epoch": 0.15337423312883436,
|
| 172 |
+
"frac_reward_zero_std": 0.3,
|
| 173 |
+
"grad_norm": 2.853423595428467,
|
| 174 |
+
"learning_rate": 4.631901840490797e-07,
|
| 175 |
+
"loss": -0.013739901781082153,
|
| 176 |
+
"num_tokens": 89889.0,
|
| 177 |
+
"reward": -0.2974999874830246,
|
| 178 |
+
"reward_std": 0.15671177953481674,
|
| 179 |
+
"rewards/format_reward/mean": 0.17500000596046447,
|
| 180 |
+
"rewards/format_reward/std": 0.18444484770298003,
|
| 181 |
+
"rewards/security_audit_reward/mean": -0.5,
|
| 182 |
+
"rewards/security_audit_reward/std": 0.15773502588272095,
|
| 183 |
+
"step": 25,
|
| 184 |
+
"step_time": 38.74009619139997
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"clip_ratio/high_max": 0.0,
|
| 188 |
+
"clip_ratio/high_mean": 0.0,
|
| 189 |
+
"clip_ratio/low_mean": 0.0,
|
| 190 |
+
"clip_ratio/low_min": 0.0,
|
| 191 |
+
"clip_ratio/region_mean": 0.0,
|
| 192 |
+
"completions/clipped_ratio": 0.65,
|
| 193 |
+
"completions/max_length": 512.0,
|
| 194 |
+
"completions/max_terminated_length": 346.0,
|
| 195 |
+
"completions/mean_length": 463.35,
|
| 196 |
+
"completions/mean_terminated_length": 295.3,
|
| 197 |
+
"completions/min_length": 337.8,
|
| 198 |
+
"completions/min_terminated_length": 235.4,
|
| 199 |
+
"entropy": 1.1444598376750945,
|
| 200 |
+
"epoch": 0.18404907975460122,
|
| 201 |
+
"frac_reward_zero_std": 0.2,
|
| 202 |
+
"grad_norm": 3.64375901222229,
|
| 203 |
+
"learning_rate": 4.55521472392638e-07,
|
| 204 |
+
"loss": -0.03970654606819153,
|
| 205 |
+
"num_tokens": 108664.0,
|
| 206 |
+
"reward": -0.3184999763965607,
|
| 207 |
+
"reward_std": 0.04019503518939018,
|
| 208 |
+
"rewards/format_reward/mean": 0.10499999970197678,
|
| 209 |
+
"rewards/format_reward/std": 0.13398344144225122,
|
| 210 |
+
"rewards/security_audit_reward/mean": -0.5,
|
| 211 |
+
"rewards/security_audit_reward/std": 0.0,
|
| 212 |
+
"step": 30,
|
| 213 |
+
"step_time": 38.56538706479987
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"clip_ratio/high_max": 0.0,
|
| 217 |
+
"clip_ratio/high_mean": 0.0,
|
| 218 |
+
"clip_ratio/low_mean": 0.0,
|
| 219 |
+
"clip_ratio/low_min": 0.0,
|
| 220 |
+
"clip_ratio/region_mean": 0.0,
|
| 221 |
+
"completions/clipped_ratio": 0.4,
|
| 222 |
+
"completions/max_length": 504.2,
|
| 223 |
+
"completions/max_terminated_length": 454.6,
|
| 224 |
+
"completions/mean_length": 421.25,
|
| 225 |
+
"completions/mean_terminated_length": 386.0,
|
| 226 |
+
"completions/min_length": 328.6,
|
| 227 |
+
"completions/min_terminated_length": 328.6,
|
| 228 |
+
"entropy": 1.3522289156913758,
|
| 229 |
+
"epoch": 0.2147239263803681,
|
| 230 |
+
"frac_reward_zero_std": 0.3,
|
| 231 |
+
"grad_norm": 3.4385552406311035,
|
| 232 |
+
"learning_rate": 4.4785276073619634e-07,
|
| 233 |
+
"loss": -0.06348788738250732,
|
| 234 |
+
"num_tokens": 126953.0,
|
| 235 |
+
"reward": -0.32824997901916503,
|
| 236 |
+
"reward_std": 0.03220053892582655,
|
| 237 |
+
"rewards/format_reward/mean": 0.07250000201165677,
|
| 238 |
+
"rewards/format_reward/std": 0.10733511671423912,
|
| 239 |
+
"rewards/security_audit_reward/mean": -0.5,
|
| 240 |
+
"rewards/security_audit_reward/std": 0.0,
|
| 241 |
+
"step": 35,
|
| 242 |
+
"step_time": 37.87626404739986
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"clip_ratio/high_max": 0.0,
|
| 246 |
+
"clip_ratio/high_mean": 0.0,
|
| 247 |
+
"clip_ratio/low_mean": 0.0,
|
| 248 |
+
"clip_ratio/low_min": 0.0,
|
| 249 |
+
"clip_ratio/region_mean": 0.0,
|
| 250 |
+
"completions/clipped_ratio": 0.55,
|
| 251 |
+
"completions/max_length": 505.2,
|
| 252 |
+
"completions/max_terminated_length": 334.4,
|
| 253 |
+
"completions/mean_length": 414.9,
|
| 254 |
+
"completions/mean_terminated_length": 240.3,
|
| 255 |
+
"completions/min_length": 243.0,
|
| 256 |
+
"completions/min_terminated_length": 140.6,
|
| 257 |
+
"entropy": 1.230024951696396,
|
| 258 |
+
"epoch": 0.24539877300613497,
|
| 259 |
+
"frac_reward_zero_std": 0.3,
|
| 260 |
+
"grad_norm": 4.400479793548584,
|
| 261 |
+
"learning_rate": 4.401840490797546e-07,
|
| 262 |
+
"loss": 0.11927952766418456,
|
| 263 |
+
"num_tokens": 144785.0,
|
| 264 |
+
"reward": -0.2897499829530716,
|
| 265 |
+
"reward_std": 0.12973095811903476,
|
| 266 |
+
"rewards/format_reward/mean": 0.14250000044703484,
|
| 267 |
+
"rewards/format_reward/std": 0.14365934804081917,
|
| 268 |
+
"rewards/security_audit_reward/mean": -0.475,
|
| 269 |
+
"rewards/security_audit_reward/std": 0.13164966106414794,
|
| 270 |
+
"step": 40,
|
| 271 |
+
"step_time": 37.8069536416001
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"clip_ratio/high_max": 0.0,
|
| 275 |
+
"clip_ratio/high_mean": 0.0,
|
| 276 |
+
"clip_ratio/low_mean": 0.0,
|
| 277 |
+
"clip_ratio/low_min": 0.0,
|
| 278 |
+
"clip_ratio/region_mean": 0.0,
|
| 279 |
+
"completions/clipped_ratio": 0.6,
|
| 280 |
+
"completions/max_length": 472.2,
|
| 281 |
+
"completions/max_terminated_length": 190.6,
|
| 282 |
+
"completions/mean_length": 412.7,
|
| 283 |
+
"completions/mean_terminated_length": 160.85,
|
| 284 |
+
"completions/min_length": 333.8,
|
| 285 |
+
"completions/min_terminated_length": 129.0,
|
| 286 |
+
"entropy": 1.2133947968482972,
|
| 287 |
+
"epoch": 0.27607361963190186,
|
| 288 |
+
"frac_reward_zero_std": 0.1,
|
| 289 |
+
"grad_norm": 4.325937271118164,
|
| 290 |
+
"learning_rate": 4.3251533742331285e-07,
|
| 291 |
+
"loss": 0.025146520137786864,
|
| 292 |
+
"num_tokens": 162443.0,
|
| 293 |
+
"reward": -0.1574999876320362,
|
| 294 |
+
"reward_std": 0.2636621415615082,
|
| 295 |
+
"rewards/format_reward/mean": 0.24500001072883607,
|
| 296 |
+
"rewards/format_reward/std": 0.23762110471725464,
|
| 297 |
+
"rewards/security_audit_reward/mean": -0.32999999523162843,
|
| 298 |
+
"rewards/security_audit_reward/std": 0.28574271202087403,
|
| 299 |
+
"step": 45,
|
| 300 |
+
"step_time": 34.90182834920015
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"clip_ratio/high_max": 0.0,
|
| 304 |
+
"clip_ratio/high_mean": 0.0,
|
| 305 |
+
"clip_ratio/low_mean": 0.0,
|
| 306 |
+
"clip_ratio/low_min": 0.0,
|
| 307 |
+
"clip_ratio/region_mean": 0.0,
|
| 308 |
+
"completions/clipped_ratio": 0.55,
|
| 309 |
+
"completions/max_length": 512.0,
|
| 310 |
+
"completions/max_terminated_length": 308.6,
|
| 311 |
+
"completions/mean_length": 397.05,
|
| 312 |
+
"completions/mean_terminated_length": 259.2,
|
| 313 |
+
"completions/min_length": 203.0,
|
| 314 |
+
"completions/min_terminated_length": 203.0,
|
| 315 |
+
"entropy": 1.4294291973114013,
|
| 316 |
+
"epoch": 0.3067484662576687,
|
| 317 |
+
"frac_reward_zero_std": 0.4,
|
| 318 |
+
"grad_norm": 3.9505743980407715,
|
| 319 |
+
"learning_rate": 4.2484662576687116e-07,
|
| 320 |
+
"loss": -0.08058007955551147,
|
| 321 |
+
"num_tokens": 180200.0,
|
| 322 |
+
"reward": -0.29249998927116394,
|
| 323 |
+
"reward_std": 0.10127481501549482,
|
| 324 |
+
"rewards/format_reward/mean": 0.0750000026077032,
|
| 325 |
+
"rewards/format_reward/std": 0.1127780631184578,
|
| 326 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 327 |
+
"rewards/security_audit_reward/std": 0.1,
|
| 328 |
+
"step": 50,
|
| 329 |
+
"step_time": 38.750808009400046
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"clip_ratio/high_max": 0.0,
|
| 333 |
+
"clip_ratio/high_mean": 0.0,
|
| 334 |
+
"clip_ratio/low_mean": 0.0,
|
| 335 |
+
"clip_ratio/low_min": 0.0,
|
| 336 |
+
"clip_ratio/region_mean": 0.0,
|
| 337 |
+
"completions/clipped_ratio": 0.5,
|
| 338 |
+
"completions/max_length": 512.0,
|
| 339 |
+
"completions/max_terminated_length": 389.8,
|
| 340 |
+
"completions/mean_length": 404.65,
|
| 341 |
+
"completions/mean_terminated_length": 297.43333740234374,
|
| 342 |
+
"completions/min_length": 192.8,
|
| 343 |
+
"completions/min_terminated_length": 192.8,
|
| 344 |
+
"entropy": 1.2564165532588958,
|
| 345 |
+
"epoch": 0.3374233128834356,
|
| 346 |
+
"frac_reward_zero_std": 0.3,
|
| 347 |
+
"grad_norm": 3.3762269020080566,
|
| 348 |
+
"learning_rate": 4.171779141104294e-07,
|
| 349 |
+
"loss": -0.030467823147773743,
|
| 350 |
+
"num_tokens": 198109.0,
|
| 351 |
+
"reward": -0.2542499825358391,
|
| 352 |
+
"reward_std": 0.07489922866225243,
|
| 353 |
+
"rewards/format_reward/mean": 0.20250000841915608,
|
| 354 |
+
"rewards/format_reward/std": 0.1368803471326828,
|
| 355 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 356 |
+
"rewards/security_audit_reward/std": 0.05773502588272095,
|
| 357 |
+
"step": 55,
|
| 358 |
+
"step_time": 38.411275500399825
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"clip_ratio/high_max": 0.0,
|
| 362 |
+
"clip_ratio/high_mean": 0.0,
|
| 363 |
+
"clip_ratio/low_mean": 0.0,
|
| 364 |
+
"clip_ratio/low_min": 0.0,
|
| 365 |
+
"clip_ratio/region_mean": 0.0,
|
| 366 |
+
"completions/clipped_ratio": 0.35,
|
| 367 |
+
"completions/max_length": 496.2,
|
| 368 |
+
"completions/max_terminated_length": 448.8,
|
| 369 |
+
"completions/mean_length": 394.3,
|
| 370 |
+
"completions/mean_terminated_length": 358.6166687011719,
|
| 371 |
+
"completions/min_length": 285.4,
|
| 372 |
+
"completions/min_terminated_length": 285.4,
|
| 373 |
+
"entropy": 1.2620218694210052,
|
| 374 |
+
"epoch": 0.36809815950920244,
|
| 375 |
+
"frac_reward_zero_std": 0.2,
|
| 376 |
+
"grad_norm": 2.8227944374084473,
|
| 377 |
+
"learning_rate": 4.095092024539877e-07,
|
| 378 |
+
"loss": 0.039707571268081665,
|
| 379 |
+
"num_tokens": 215747.0,
|
| 380 |
+
"reward": -0.2729999750852585,
|
| 381 |
+
"reward_std": 0.13599938787519933,
|
| 382 |
+
"rewards/format_reward/mean": 0.14000000432133675,
|
| 383 |
+
"rewards/format_reward/std": 0.14343783408403396,
|
| 384 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 385 |
+
"rewards/security_audit_reward/std": 0.1393846869468689,
|
| 386 |
+
"step": 60,
|
| 387 |
+
"step_time": 37.50645367139987
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"clip_ratio/high_max": 0.0,
|
| 391 |
+
"clip_ratio/high_mean": 0.0,
|
| 392 |
+
"clip_ratio/low_mean": 0.0,
|
| 393 |
+
"clip_ratio/low_min": 0.0,
|
| 394 |
+
"clip_ratio/region_mean": 0.0,
|
| 395 |
+
"completions/clipped_ratio": 0.35,
|
| 396 |
+
"completions/max_length": 484.8,
|
| 397 |
+
"completions/max_terminated_length": 334.8,
|
| 398 |
+
"completions/mean_length": 381.35,
|
| 399 |
+
"completions/mean_terminated_length": 255.98333740234375,
|
| 400 |
+
"completions/min_length": 275.6,
|
| 401 |
+
"completions/min_terminated_length": 173.2,
|
| 402 |
+
"entropy": 1.2798833012580872,
|
| 403 |
+
"epoch": 0.3987730061349693,
|
| 404 |
+
"frac_reward_zero_std": 0.2,
|
| 405 |
+
"grad_norm": 3.4819753170013428,
|
| 406 |
+
"learning_rate": 4.01840490797546e-07,
|
| 407 |
+
"loss": -0.06275686025619506,
|
| 408 |
+
"num_tokens": 233162.0,
|
| 409 |
+
"reward": -0.201749986410141,
|
| 410 |
+
"reward_std": 0.2016347900032997,
|
| 411 |
+
"rewards/format_reward/mean": 0.20250000804662704,
|
| 412 |
+
"rewards/format_reward/std": 0.22137173414230346,
|
| 413 |
+
"rewards/security_audit_reward/mean": -0.375,
|
| 414 |
+
"rewards/security_audit_reward/std": 0.20773502588272094,
|
| 415 |
+
"step": 65,
|
| 416 |
+
"step_time": 37.139902984000216
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"clip_ratio/high_max": 0.0,
|
| 420 |
+
"clip_ratio/high_mean": 0.0,
|
| 421 |
+
"clip_ratio/low_mean": 0.0,
|
| 422 |
+
"clip_ratio/low_min": 0.0,
|
| 423 |
+
"clip_ratio/region_mean": 0.0,
|
| 424 |
+
"completions/clipped_ratio": 0.6,
|
| 425 |
+
"completions/max_length": 512.0,
|
| 426 |
+
"completions/max_terminated_length": 289.8,
|
| 427 |
+
"completions/mean_length": 408.45,
|
| 428 |
+
"completions/mean_terminated_length": 251.7,
|
| 429 |
+
"completions/min_length": 207.0,
|
| 430 |
+
"completions/min_terminated_length": 207.0,
|
| 431 |
+
"entropy": 1.2134525895118713,
|
| 432 |
+
"epoch": 0.4294478527607362,
|
| 433 |
+
"frac_reward_zero_std": 0.3,
|
| 434 |
+
"grad_norm": 4.019806861877441,
|
| 435 |
+
"learning_rate": 3.941717791411043e-07,
|
| 436 |
+
"loss": 0.08099154829978943,
|
| 437 |
+
"num_tokens": 251321.0,
|
| 438 |
+
"reward": -0.27599998414516447,
|
| 439 |
+
"reward_std": 0.08945702444761991,
|
| 440 |
+
"rewards/format_reward/mean": 0.1300000037997961,
|
| 441 |
+
"rewards/format_reward/std": 0.1645726040005684,
|
| 442 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 443 |
+
"rewards/security_audit_reward/std": 0.05773502588272095,
|
| 444 |
+
"step": 70,
|
| 445 |
+
"step_time": 38.02127088899997
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"clip_ratio/high_max": 0.0,
|
| 449 |
+
"clip_ratio/high_mean": 0.0,
|
| 450 |
+
"clip_ratio/low_mean": 0.0,
|
| 451 |
+
"clip_ratio/low_min": 0.0,
|
| 452 |
+
"clip_ratio/region_mean": 0.0,
|
| 453 |
+
"completions/clipped_ratio": 0.5,
|
| 454 |
+
"completions/max_length": 459.8,
|
| 455 |
+
"completions/max_terminated_length": 206.2,
|
| 456 |
+
"completions/mean_length": 348.9,
|
| 457 |
+
"completions/mean_terminated_length": 176.9,
|
| 458 |
+
"completions/min_length": 148.6,
|
| 459 |
+
"completions/min_terminated_length": 148.6,
|
| 460 |
+
"entropy": 1.3179432690143584,
|
| 461 |
+
"epoch": 0.4601226993865031,
|
| 462 |
+
"frac_reward_zero_std": 0.0,
|
| 463 |
+
"grad_norm": 6.28598690032959,
|
| 464 |
+
"learning_rate": 3.8650306748466255e-07,
|
| 465 |
+
"loss": -0.11171818971633911,
|
| 466 |
+
"num_tokens": 267725.0,
|
| 467 |
+
"reward": -0.19474998638033866,
|
| 468 |
+
"reward_std": 0.17031802013516426,
|
| 469 |
+
"rewards/format_reward/mean": 0.23750000447034836,
|
| 470 |
+
"rewards/format_reward/std": 0.17114628925919534,
|
| 471 |
+
"rewards/security_audit_reward/mean": -0.3800000011920929,
|
| 472 |
+
"rewards/security_audit_reward/std": 0.180902099609375,
|
| 473 |
+
"step": 75,
|
| 474 |
+
"step_time": 34.450158203000136
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"clip_ratio/high_max": 0.0,
|
| 478 |
+
"clip_ratio/high_mean": 0.0,
|
| 479 |
+
"clip_ratio/low_mean": 0.0,
|
| 480 |
+
"clip_ratio/low_min": 0.0,
|
| 481 |
+
"clip_ratio/region_mean": 0.0,
|
| 482 |
+
"completions/clipped_ratio": 0.5,
|
| 483 |
+
"completions/max_length": 512.0,
|
| 484 |
+
"completions/max_terminated_length": 332.8,
|
| 485 |
+
"completions/mean_length": 400.75,
|
| 486 |
+
"completions/mean_terminated_length": 289.06666870117186,
|
| 487 |
+
"completions/min_length": 251.0,
|
| 488 |
+
"completions/min_terminated_length": 251.0,
|
| 489 |
+
"entropy": 1.1514661133289337,
|
| 490 |
+
"epoch": 0.49079754601226994,
|
| 491 |
+
"frac_reward_zero_std": 0.4,
|
| 492 |
+
"grad_norm": 2.8479247093200684,
|
| 493 |
+
"learning_rate": 3.788343558282208e-07,
|
| 494 |
+
"loss": 0.03145935535430908,
|
| 495 |
+
"num_tokens": 285726.0,
|
| 496 |
+
"reward": -0.2569999933242798,
|
| 497 |
+
"reward_std": 0.15333212018013,
|
| 498 |
+
"rewards/format_reward/mean": 0.1350000023841858,
|
| 499 |
+
"rewards/format_reward/std": 0.18636635541915894,
|
| 500 |
+
"rewards/security_audit_reward/mean": -0.425,
|
| 501 |
+
"rewards/security_audit_reward/std": 0.15,
|
| 502 |
+
"step": 80,
|
| 503 |
+
"step_time": 38.869779922999626
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"clip_ratio/high_max": 0.0,
|
| 507 |
+
"clip_ratio/high_mean": 0.0,
|
| 508 |
+
"clip_ratio/low_mean": 0.0,
|
| 509 |
+
"clip_ratio/low_min": 0.0,
|
| 510 |
+
"clip_ratio/region_mean": 0.0,
|
| 511 |
+
"completions/clipped_ratio": 0.5,
|
| 512 |
+
"completions/max_length": 512.0,
|
| 513 |
+
"completions/max_terminated_length": 321.2,
|
| 514 |
+
"completions/mean_length": 398.5,
|
| 515 |
+
"completions/mean_terminated_length": 253.0,
|
| 516 |
+
"completions/min_length": 183.0,
|
| 517 |
+
"completions/min_terminated_length": 183.0,
|
| 518 |
+
"entropy": 1.244500571489334,
|
| 519 |
+
"epoch": 0.5214723926380368,
|
| 520 |
+
"frac_reward_zero_std": 0.3,
|
| 521 |
+
"grad_norm": 2.146970272064209,
|
| 522 |
+
"learning_rate": 3.7116564417177916e-07,
|
| 523 |
+
"loss": 0.06171210408210755,
|
| 524 |
+
"num_tokens": 304148.0,
|
| 525 |
+
"reward": -0.22524999380111693,
|
| 526 |
+
"reward_std": 0.19191497713327407,
|
| 527 |
+
"rewards/format_reward/mean": 0.18250000327825547,
|
| 528 |
+
"rewards/format_reward/std": 0.19969657957553863,
|
| 529 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 530 |
+
"rewards/security_audit_reward/std": 0.2,
|
| 531 |
+
"step": 85,
|
| 532 |
+
"step_time": 39.297288996000134
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"clip_ratio/high_max": 0.0,
|
| 536 |
+
"clip_ratio/high_mean": 0.0,
|
| 537 |
+
"clip_ratio/low_mean": 0.0,
|
| 538 |
+
"clip_ratio/low_min": 0.0,
|
| 539 |
+
"clip_ratio/region_mean": 0.0,
|
| 540 |
+
"completions/clipped_ratio": 0.55,
|
| 541 |
+
"completions/max_length": 512.0,
|
| 542 |
+
"completions/max_terminated_length": 360.0,
|
| 543 |
+
"completions/mean_length": 419.5,
|
| 544 |
+
"completions/mean_terminated_length": 325.6,
|
| 545 |
+
"completions/min_length": 291.2,
|
| 546 |
+
"completions/min_terminated_length": 291.2,
|
| 547 |
+
"entropy": 1.206581747531891,
|
| 548 |
+
"epoch": 0.5521472392638037,
|
| 549 |
+
"frac_reward_zero_std": 0.2,
|
| 550 |
+
"grad_norm": 2.1158456802368164,
|
| 551 |
+
"learning_rate": 3.634969325153374e-07,
|
| 552 |
+
"loss": -0.06664568185806274,
|
| 553 |
+
"num_tokens": 321680.0,
|
| 554 |
+
"reward": -0.23324998915195466,
|
| 555 |
+
"reward_std": 0.1919491995126009,
|
| 556 |
+
"rewards/format_reward/mean": 0.1675000049173832,
|
| 557 |
+
"rewards/format_reward/std": 0.19863576367497443,
|
| 558 |
+
"rewards/security_audit_reward/mean": -0.40499999523162844,
|
| 559 |
+
"rewards/security_audit_reward/std": 0.1899999976158142,
|
| 560 |
+
"step": 90,
|
| 561 |
+
"step_time": 38.49561594039933
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"clip_ratio/high_max": 0.0,
|
| 565 |
+
"clip_ratio/high_mean": 0.0,
|
| 566 |
+
"clip_ratio/low_mean": 0.0,
|
| 567 |
+
"clip_ratio/low_min": 0.0,
|
| 568 |
+
"clip_ratio/region_mean": 0.0,
|
| 569 |
+
"completions/clipped_ratio": 0.4,
|
| 570 |
+
"completions/max_length": 469.2,
|
| 571 |
+
"completions/max_terminated_length": 364.0,
|
| 572 |
+
"completions/mean_length": 383.2,
|
| 573 |
+
"completions/mean_terminated_length": 291.8333374023438,
|
| 574 |
+
"completions/min_length": 217.6,
|
| 575 |
+
"completions/min_terminated_length": 217.6,
|
| 576 |
+
"entropy": 1.217250692844391,
|
| 577 |
+
"epoch": 0.5828220858895705,
|
| 578 |
+
"frac_reward_zero_std": 0.4,
|
| 579 |
+
"grad_norm": 4.098232269287109,
|
| 580 |
+
"learning_rate": 3.558282208588957e-07,
|
| 581 |
+
"loss": 0.05211906433105469,
|
| 582 |
+
"num_tokens": 339350.0,
|
| 583 |
+
"reward": -0.2119999945163727,
|
| 584 |
+
"reward_std": 0.19894140996038914,
|
| 585 |
+
"rewards/format_reward/mean": 0.1799999989569187,
|
| 586 |
+
"rewards/format_reward/std": 0.23350853994488716,
|
| 587 |
+
"rewards/security_audit_reward/mean": -0.37999999821186065,
|
| 588 |
+
"rewards/security_audit_reward/std": 0.1911805212497711,
|
| 589 |
+
"step": 95,
|
| 590 |
+
"step_time": 35.83687614579994
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"clip_ratio/high_max": 0.0,
|
| 594 |
+
"clip_ratio/high_mean": 0.0,
|
| 595 |
+
"clip_ratio/low_mean": 0.0,
|
| 596 |
+
"clip_ratio/low_min": 0.0,
|
| 597 |
+
"clip_ratio/region_mean": 0.0,
|
| 598 |
+
"completions/clipped_ratio": 0.5,
|
| 599 |
+
"completions/max_length": 512.0,
|
| 600 |
+
"completions/max_terminated_length": 345.4,
|
| 601 |
+
"completions/mean_length": 377.45,
|
| 602 |
+
"completions/mean_terminated_length": 290.6333343505859,
|
| 603 |
+
"completions/min_length": 240.4,
|
| 604 |
+
"completions/min_terminated_length": 240.4,
|
| 605 |
+
"entropy": 1.2783292949199676,
|
| 606 |
+
"epoch": 0.6134969325153374,
|
| 607 |
+
"frac_reward_zero_std": 0.3,
|
| 608 |
+
"grad_norm": 2.361516237258911,
|
| 609 |
+
"learning_rate": 3.48159509202454e-07,
|
| 610 |
+
"loss": 0.06258203387260437,
|
| 611 |
+
"num_tokens": 356239.0,
|
| 612 |
+
"reward": -0.20649999231100083,
|
| 613 |
+
"reward_std": 0.18195689767599105,
|
| 614 |
+
"rewards/format_reward/mean": 0.24499999433755876,
|
| 615 |
+
"rewards/format_reward/std": 0.19310407042503358,
|
| 616 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 617 |
+
"rewards/security_audit_reward/std": 0.2,
|
| 618 |
+
"step": 100,
|
| 619 |
+
"step_time": 38.47846096040011
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"clip_ratio/high_max": 0.0,
|
| 623 |
+
"clip_ratio/high_mean": 0.0,
|
| 624 |
+
"clip_ratio/low_mean": 0.0,
|
| 625 |
+
"clip_ratio/low_min": 0.0,
|
| 626 |
+
"clip_ratio/region_mean": 0.0,
|
| 627 |
+
"completions/clipped_ratio": 0.3,
|
| 628 |
+
"completions/max_length": 463.2,
|
| 629 |
+
"completions/max_terminated_length": 394.6,
|
| 630 |
+
"completions/mean_length": 335.8,
|
| 631 |
+
"completions/mean_terminated_length": 268.3,
|
| 632 |
+
"completions/min_length": 139.6,
|
| 633 |
+
"completions/min_terminated_length": 139.6,
|
| 634 |
+
"entropy": 1.2529696226119995,
|
| 635 |
+
"epoch": 0.6441717791411042,
|
| 636 |
+
"frac_reward_zero_std": 0.2,
|
| 637 |
+
"grad_norm": 3.356074094772339,
|
| 638 |
+
"learning_rate": 3.4049079754601224e-07,
|
| 639 |
+
"loss": 0.003340443968772888,
|
| 640 |
+
"num_tokens": 373237.0,
|
| 641 |
+
"reward": -0.2567499876022339,
|
| 642 |
+
"reward_std": 0.27417250275611876,
|
| 643 |
+
"rewards/format_reward/mean": 0.14750000461935997,
|
| 644 |
+
"rewards/format_reward/std": 0.19759280756115913,
|
| 645 |
+
"rewards/security_audit_reward/mean": -0.4299999952316284,
|
| 646 |
+
"rewards/security_audit_reward/std": 0.3186576545238495,
|
| 647 |
+
"step": 105,
|
| 648 |
+
"step_time": 35.43083410320014
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"clip_ratio/high_max": 0.0,
|
| 652 |
+
"clip_ratio/high_mean": 0.0,
|
| 653 |
+
"clip_ratio/low_mean": 0.0,
|
| 654 |
+
"clip_ratio/low_min": 0.0,
|
| 655 |
+
"clip_ratio/region_mean": 0.0,
|
| 656 |
+
"completions/clipped_ratio": 0.45,
|
| 657 |
+
"completions/max_length": 512.0,
|
| 658 |
+
"completions/max_terminated_length": 372.8,
|
| 659 |
+
"completions/mean_length": 419.15,
|
| 660 |
+
"completions/mean_terminated_length": 319.2666748046875,
|
| 661 |
+
"completions/min_length": 266.8,
|
| 662 |
+
"completions/min_terminated_length": 266.8,
|
| 663 |
+
"entropy": 1.1685741186141967,
|
| 664 |
+
"epoch": 0.6748466257668712,
|
| 665 |
+
"frac_reward_zero_std": 0.2,
|
| 666 |
+
"grad_norm": 4.318619728088379,
|
| 667 |
+
"learning_rate": 3.3282208588957055e-07,
|
| 668 |
+
"loss": -0.026089027523994446,
|
| 669 |
+
"num_tokens": 391784.0,
|
| 670 |
+
"reward": -0.2662499874830246,
|
| 671 |
+
"reward_std": 0.07884115856140853,
|
| 672 |
+
"rewards/format_reward/mean": 0.16250000558793545,
|
| 673 |
+
"rewards/format_reward/std": 0.14070439487695693,
|
| 674 |
+
"rewards/security_audit_reward/mean": -0.45,
|
| 675 |
+
"rewards/security_audit_reward/std": 0.05773502588272095,
|
| 676 |
+
"step": 110,
|
| 677 |
+
"step_time": 38.89281254739999
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"clip_ratio/high_max": 0.0,
|
| 681 |
+
"clip_ratio/high_mean": 0.0,
|
| 682 |
+
"clip_ratio/low_mean": 0.0,
|
| 683 |
+
"clip_ratio/low_min": 0.0,
|
| 684 |
+
"clip_ratio/region_mean": 0.0,
|
| 685 |
+
"completions/clipped_ratio": 0.3,
|
| 686 |
+
"completions/max_length": 468.0,
|
| 687 |
+
"completions/max_terminated_length": 337.6,
|
| 688 |
+
"completions/mean_length": 330.1,
|
| 689 |
+
"completions/mean_terminated_length": 240.4166687011719,
|
| 690 |
+
"completions/min_length": 160.8,
|
| 691 |
+
"completions/min_terminated_length": 160.8,
|
| 692 |
+
"entropy": 1.2954379856586455,
|
| 693 |
+
"epoch": 0.7055214723926381,
|
| 694 |
+
"frac_reward_zero_std": 0.2,
|
| 695 |
+
"grad_norm": 3.293928384780884,
|
| 696 |
+
"learning_rate": 3.251533742331288e-07,
|
| 697 |
+
"loss": 0.17276796102523803,
|
| 698 |
+
"num_tokens": 408446.0,
|
| 699 |
+
"reward": -0.22849999666213988,
|
| 700 |
+
"reward_std": 0.1390242099761963,
|
| 701 |
+
"rewards/format_reward/mean": 0.2300000011920929,
|
| 702 |
+
"rewards/format_reward/std": 0.23302415013313293,
|
| 703 |
+
"rewards/security_audit_reward/mean": -0.425,
|
| 704 |
+
"rewards/security_audit_reward/std": 0.10773502588272095,
|
| 705 |
+
"step": 115,
|
| 706 |
+
"step_time": 35.73082293679981
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"clip_ratio/high_max": 0.0,
|
| 710 |
+
"clip_ratio/high_mean": 0.0,
|
| 711 |
+
"clip_ratio/low_mean": 0.0,
|
| 712 |
+
"clip_ratio/low_min": 0.0,
|
| 713 |
+
"clip_ratio/region_mean": 0.0,
|
| 714 |
+
"completions/clipped_ratio": 0.55,
|
| 715 |
+
"completions/max_length": 512.0,
|
| 716 |
+
"completions/max_terminated_length": 281.2,
|
| 717 |
+
"completions/mean_length": 400.5,
|
| 718 |
+
"completions/mean_terminated_length": 248.73333740234375,
|
| 719 |
+
"completions/min_length": 211.8,
|
| 720 |
+
"completions/min_terminated_length": 211.8,
|
| 721 |
+
"entropy": 1.2283548831939697,
|
| 722 |
+
"epoch": 0.7361963190184049,
|
| 723 |
+
"frac_reward_zero_std": 0.2,
|
| 724 |
+
"grad_norm": 2.632479190826416,
|
| 725 |
+
"learning_rate": 3.174846625766871e-07,
|
| 726 |
+
"loss": 0.05111231803894043,
|
| 727 |
+
"num_tokens": 426822.0,
|
| 728 |
+
"reward": -0.22074998915195465,
|
| 729 |
+
"reward_std": 0.15957241374999284,
|
| 730 |
+
"rewards/format_reward/mean": 0.1975000012665987,
|
| 731 |
+
"rewards/format_reward/std": 0.1847505249083042,
|
| 732 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 733 |
+
"rewards/security_audit_reward/std": 0.15773502588272095,
|
| 734 |
+
"step": 120,
|
| 735 |
+
"step_time": 39.14503100519996
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"clip_ratio/high_max": 0.0,
|
| 739 |
+
"clip_ratio/high_mean": 0.0,
|
| 740 |
+
"clip_ratio/low_mean": 0.0,
|
| 741 |
+
"clip_ratio/low_min": 0.0,
|
| 742 |
+
"clip_ratio/region_mean": 0.0,
|
| 743 |
+
"completions/clipped_ratio": 0.5,
|
| 744 |
+
"completions/max_length": 512.0,
|
| 745 |
+
"completions/max_terminated_length": 340.2,
|
| 746 |
+
"completions/mean_length": 401.4,
|
| 747 |
+
"completions/mean_terminated_length": 236.03333740234376,
|
| 748 |
+
"completions/min_length": 245.2,
|
| 749 |
+
"completions/min_terminated_length": 142.8,
|
| 750 |
+
"entropy": 1.307636547088623,
|
| 751 |
+
"epoch": 0.7668711656441718,
|
| 752 |
+
"frac_reward_zero_std": 0.3,
|
| 753 |
+
"grad_norm": 5.566491603851318,
|
| 754 |
+
"learning_rate": 3.0981595092024537e-07,
|
| 755 |
+
"loss": 0.003215853124856949,
|
| 756 |
+
"num_tokens": 444322.0,
|
| 757 |
+
"reward": -0.11199999079108239,
|
| 758 |
+
"reward_std": 0.2506739288568497,
|
| 759 |
+
"rewards/format_reward/mean": 0.2449999988079071,
|
| 760 |
+
"rewards/format_reward/std": 0.20622505843639374,
|
| 761 |
+
"rewards/security_audit_reward/mean": -0.26500000059604645,
|
| 762 |
+
"rewards/security_audit_reward/std": 0.278915548324585,
|
| 763 |
+
"step": 125,
|
| 764 |
+
"step_time": 38.70229864360026
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"clip_ratio/high_max": 0.0,
|
| 768 |
+
"clip_ratio/high_mean": 0.0,
|
| 769 |
+
"clip_ratio/low_mean": 0.0,
|
| 770 |
+
"clip_ratio/low_min": 0.0,
|
| 771 |
+
"clip_ratio/region_mean": 0.0,
|
| 772 |
+
"completions/clipped_ratio": 0.35,
|
| 773 |
+
"completions/max_length": 512.0,
|
| 774 |
+
"completions/max_terminated_length": 390.6,
|
| 775 |
+
"completions/mean_length": 367.0,
|
| 776 |
+
"completions/mean_terminated_length": 264.0000061035156,
|
| 777 |
+
"completions/min_length": 123.2,
|
| 778 |
+
"completions/min_terminated_length": 123.2,
|
| 779 |
+
"entropy": 1.248900693655014,
|
| 780 |
+
"epoch": 0.7975460122699386,
|
| 781 |
+
"frac_reward_zero_std": 0.2,
|
| 782 |
+
"grad_norm": 4.395384311676025,
|
| 783 |
+
"learning_rate": 3.021472392638036e-07,
|
| 784 |
+
"loss": 0.06482647061347961,
|
| 785 |
+
"num_tokens": 461894.0,
|
| 786 |
+
"reward": -0.2042499899864197,
|
| 787 |
+
"reward_std": 0.17003463432192803,
|
| 788 |
+
"rewards/format_reward/mean": 0.2525000125169754,
|
| 789 |
+
"rewards/format_reward/std": 0.21560870110988617,
|
| 790 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 791 |
+
"rewards/security_audit_reward/std": 0.15773502588272095,
|
| 792 |
+
"step": 130,
|
| 793 |
+
"step_time": 39.174271353800215
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"clip_ratio/high_max": 0.0,
|
| 797 |
+
"clip_ratio/high_mean": 0.0,
|
| 798 |
+
"clip_ratio/low_mean": 0.0,
|
| 799 |
+
"clip_ratio/low_min": 0.0,
|
| 800 |
+
"clip_ratio/region_mean": 0.0,
|
| 801 |
+
"completions/clipped_ratio": 0.35,
|
| 802 |
+
"completions/max_length": 512.0,
|
| 803 |
+
"completions/max_terminated_length": 370.0,
|
| 804 |
+
"completions/mean_length": 359.95,
|
| 805 |
+
"completions/mean_terminated_length": 276.9666687011719,
|
| 806 |
+
"completions/min_length": 203.8,
|
| 807 |
+
"completions/min_terminated_length": 203.8,
|
| 808 |
+
"entropy": 1.3299469709396363,
|
| 809 |
+
"epoch": 0.8282208588957055,
|
| 810 |
+
"frac_reward_zero_std": 0.0,
|
| 811 |
+
"grad_norm": 4.3037519454956055,
|
| 812 |
+
"learning_rate": 2.94478527607362e-07,
|
| 813 |
+
"loss": 0.026153716444969177,
|
| 814 |
+
"num_tokens": 478783.0,
|
| 815 |
+
"reward": -0.19949999153614045,
|
| 816 |
+
"reward_std": 0.15296672135591508,
|
| 817 |
+
"rewards/format_reward/mean": 0.24500000178813935,
|
| 818 |
+
"rewards/format_reward/std": 0.2273508906364441,
|
| 819 |
+
"rewards/security_audit_reward/mean": -0.39000000059604645,
|
| 820 |
+
"rewards/security_audit_reward/std": 0.12891554832458496,
|
| 821 |
+
"step": 135,
|
| 822 |
+
"step_time": 38.658669441000164
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"clip_ratio/high_max": 0.0,
|
| 826 |
+
"clip_ratio/high_mean": 0.0,
|
| 827 |
+
"clip_ratio/low_mean": 0.0,
|
| 828 |
+
"clip_ratio/low_min": 0.0,
|
| 829 |
+
"clip_ratio/region_mean": 0.0,
|
| 830 |
+
"completions/clipped_ratio": 0.45,
|
| 831 |
+
"completions/max_length": 512.0,
|
| 832 |
+
"completions/max_terminated_length": 354.0,
|
| 833 |
+
"completions/mean_length": 380.3,
|
| 834 |
+
"completions/mean_terminated_length": 271.6666687011719,
|
| 835 |
+
"completions/min_length": 206.4,
|
| 836 |
+
"completions/min_terminated_length": 206.4,
|
| 837 |
+
"entropy": 1.0997539341449738,
|
| 838 |
+
"epoch": 0.8588957055214724,
|
| 839 |
+
"frac_reward_zero_std": 0.2,
|
| 840 |
+
"grad_norm": 2.3693976402282715,
|
| 841 |
+
"learning_rate": 2.8680981595092024e-07,
|
| 842 |
+
"loss": -0.01876506209373474,
|
| 843 |
+
"num_tokens": 496243.0,
|
| 844 |
+
"reward": -0.17974998727440833,
|
| 845 |
+
"reward_std": 0.18710523881018162,
|
| 846 |
+
"rewards/format_reward/mean": 0.21750000193715097,
|
| 847 |
+
"rewards/format_reward/std": 0.1843859799206257,
|
| 848 |
+
"rewards/security_audit_reward/mean": -0.35,
|
| 849 |
+
"rewards/security_audit_reward/std": 0.20347774028778076,
|
| 850 |
+
"step": 140,
|
| 851 |
+
"step_time": 39.171343391999834
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"clip_ratio/high_max": 0.0,
|
| 855 |
+
"clip_ratio/high_mean": 0.0,
|
| 856 |
+
"clip_ratio/low_mean": 0.0,
|
| 857 |
+
"clip_ratio/low_min": 0.0,
|
| 858 |
+
"clip_ratio/region_mean": 0.0,
|
| 859 |
+
"completions/clipped_ratio": 0.35,
|
| 860 |
+
"completions/max_length": 456.2,
|
| 861 |
+
"completions/max_terminated_length": 355.2,
|
| 862 |
+
"completions/mean_length": 348.35,
|
| 863 |
+
"completions/mean_terminated_length": 270.3,
|
| 864 |
+
"completions/min_length": 164.8,
|
| 865 |
+
"completions/min_terminated_length": 164.8,
|
| 866 |
+
"entropy": 1.2017314374446868,
|
| 867 |
+
"epoch": 0.8895705521472392,
|
| 868 |
+
"frac_reward_zero_std": 0.3,
|
| 869 |
+
"grad_norm": 4.230531215667725,
|
| 870 |
+
"learning_rate": 2.791411042944785e-07,
|
| 871 |
+
"loss": 0.0029310762882232668,
|
| 872 |
+
"num_tokens": 513422.0,
|
| 873 |
+
"reward": -0.1637499898672104,
|
| 874 |
+
"reward_std": 0.2463478922843933,
|
| 875 |
+
"rewards/format_reward/mean": 0.2475000023841858,
|
| 876 |
+
"rewards/format_reward/std": 0.2085829883813858,
|
| 877 |
+
"rewards/security_audit_reward/mean": -0.34000000059604646,
|
| 878 |
+
"rewards/security_audit_reward/std": 0.26830023527145386,
|
| 879 |
+
"step": 145,
|
| 880 |
+
"step_time": 34.95672115479992
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"clip_ratio/high_max": 0.0,
|
| 884 |
+
"clip_ratio/high_mean": 0.0,
|
| 885 |
+
"clip_ratio/low_mean": 0.0,
|
| 886 |
+
"clip_ratio/low_min": 0.0,
|
| 887 |
+
"clip_ratio/region_mean": 0.0,
|
| 888 |
+
"completions/clipped_ratio": 0.25,
|
| 889 |
+
"completions/max_length": 482.4,
|
| 890 |
+
"completions/max_terminated_length": 431.6,
|
| 891 |
+
"completions/mean_length": 355.35,
|
| 892 |
+
"completions/mean_terminated_length": 319.4166687011719,
|
| 893 |
+
"completions/min_length": 212.0,
|
| 894 |
+
"completions/min_terminated_length": 212.0,
|
| 895 |
+
"entropy": 1.258862280845642,
|
| 896 |
+
"epoch": 0.9202453987730062,
|
| 897 |
+
"frac_reward_zero_std": 0.2,
|
| 898 |
+
"grad_norm": 6.071740627288818,
|
| 899 |
+
"learning_rate": 2.714723926380368e-07,
|
| 900 |
+
"loss": 0.0822126567363739,
|
| 901 |
+
"num_tokens": 530643.0,
|
| 902 |
+
"reward": -0.1912499874830246,
|
| 903 |
+
"reward_std": 0.1670845106244087,
|
| 904 |
+
"rewards/format_reward/mean": 0.27249999940395353,
|
| 905 |
+
"rewards/format_reward/std": 0.1733592666685581,
|
| 906 |
+
"rewards/security_audit_reward/mean": -0.39000000059604645,
|
| 907 |
+
"rewards/security_audit_reward/std": 0.17118052244186402,
|
| 908 |
+
"step": 150,
|
| 909 |
+
"step_time": 37.038782767599876
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"clip_ratio/high_max": 0.0,
|
| 913 |
+
"clip_ratio/high_mean": 0.0,
|
| 914 |
+
"clip_ratio/low_mean": 0.0,
|
| 915 |
+
"clip_ratio/low_min": 0.0,
|
| 916 |
+
"clip_ratio/region_mean": 0.0,
|
| 917 |
+
"completions/clipped_ratio": 0.2,
|
| 918 |
+
"completions/max_length": 442.2,
|
| 919 |
+
"completions/max_terminated_length": 316.0,
|
| 920 |
+
"completions/mean_length": 283.75,
|
| 921 |
+
"completions/mean_terminated_length": 237.85000305175782,
|
| 922 |
+
"completions/min_length": 166.2,
|
| 923 |
+
"completions/min_terminated_length": 166.2,
|
| 924 |
+
"entropy": 1.4853489220142364,
|
| 925 |
+
"epoch": 0.950920245398773,
|
| 926 |
+
"frac_reward_zero_std": 0.0,
|
| 927 |
+
"grad_norm": 5.2570695877075195,
|
| 928 |
+
"learning_rate": 2.6380368098159506e-07,
|
| 929 |
+
"loss": 0.11004064083099366,
|
| 930 |
+
"num_tokens": 545966.0,
|
| 931 |
+
"reward": -0.15949999541044235,
|
| 932 |
+
"reward_std": 0.19192611873149873,
|
| 933 |
+
"rewards/format_reward/mean": 0.28500000238418577,
|
| 934 |
+
"rewards/format_reward/std": 0.22434256076812745,
|
| 935 |
+
"rewards/security_audit_reward/mean": -0.35,
|
| 936 |
+
"rewards/security_audit_reward/std": 0.2,
|
| 937 |
+
"step": 155,
|
| 938 |
+
"step_time": 33.86747411140077
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"clip_ratio/high_max": 0.0,
|
| 942 |
+
"clip_ratio/high_mean": 0.0,
|
| 943 |
+
"clip_ratio/low_mean": 0.0,
|
| 944 |
+
"clip_ratio/low_min": 0.0,
|
| 945 |
+
"clip_ratio/region_mean": 0.0,
|
| 946 |
+
"completions/clipped_ratio": 0.55,
|
| 947 |
+
"completions/max_length": 512.0,
|
| 948 |
+
"completions/max_terminated_length": 340.8,
|
| 949 |
+
"completions/mean_length": 411.45,
|
| 950 |
+
"completions/mean_terminated_length": 265.9666687011719,
|
| 951 |
+
"completions/min_length": 192.0,
|
| 952 |
+
"completions/min_terminated_length": 192.0,
|
| 953 |
+
"entropy": 1.0828768193721772,
|
| 954 |
+
"epoch": 0.9815950920245399,
|
| 955 |
+
"frac_reward_zero_std": 0.2,
|
| 956 |
+
"grad_norm": 2.6537587642669678,
|
| 957 |
+
"learning_rate": 2.5613496932515337e-07,
|
| 958 |
+
"loss": 0.03556116819381714,
|
| 959 |
+
"num_tokens": 563683.0,
|
| 960 |
+
"reward": -0.20099999010562897,
|
| 961 |
+
"reward_std": 0.1888158166781068,
|
| 962 |
+
"rewards/format_reward/mean": 0.24000000059604645,
|
| 963 |
+
"rewards/format_reward/std": 0.16870398968458175,
|
| 964 |
+
"rewards/security_audit_reward/mean": -0.3899999976158142,
|
| 965 |
+
"rewards/security_audit_reward/std": 0.2199999988079071,
|
| 966 |
+
"step": 160,
|
| 967 |
+
"step_time": 38.665304075799575
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"clip_ratio/high_max": 0.0,
|
| 971 |
+
"clip_ratio/high_mean": 0.0,
|
| 972 |
+
"clip_ratio/low_mean": 0.0,
|
| 973 |
+
"clip_ratio/low_min": 0.0,
|
| 974 |
+
"clip_ratio/region_mean": 0.0,
|
| 975 |
+
"completions/clipped_ratio": 0.3,
|
| 976 |
+
"completions/max_length": 483.2,
|
| 977 |
+
"completions/max_terminated_length": 393.2,
|
| 978 |
+
"completions/mean_length": 359.2,
|
| 979 |
+
"completions/mean_terminated_length": 303.3666687011719,
|
| 980 |
+
"completions/min_length": 178.2,
|
| 981 |
+
"completions/min_terminated_length": 178.2,
|
| 982 |
+
"entropy": 1.1811485469341279,
|
| 983 |
+
"epoch": 1.0122699386503067,
|
| 984 |
+
"frac_reward_zero_std": 0.0,
|
| 985 |
+
"grad_norm": 4.203860282897949,
|
| 986 |
+
"learning_rate": 2.4846625766871163e-07,
|
| 987 |
+
"loss": -0.02532302737236023,
|
| 988 |
+
"num_tokens": 580183.0,
|
| 989 |
+
"reward": -0.1227499857544899,
|
| 990 |
+
"reward_std": 0.2651766210794449,
|
| 991 |
+
"rewards/format_reward/mean": 0.2675000011920929,
|
| 992 |
+
"rewards/format_reward/std": 0.24115291833877564,
|
| 993 |
+
"rewards/security_audit_reward/mean": -0.2899999976158142,
|
| 994 |
+
"rewards/security_audit_reward/std": 0.2812127649784088,
|
| 995 |
+
"step": 165,
|
| 996 |
+
"step_time": 36.34888075860035
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"clip_ratio/high_max": 0.0,
|
| 1000 |
+
"clip_ratio/high_mean": 0.0,
|
| 1001 |
+
"clip_ratio/low_mean": 0.0,
|
| 1002 |
+
"clip_ratio/low_min": 0.0,
|
| 1003 |
+
"clip_ratio/region_mean": 0.0,
|
| 1004 |
+
"completions/clipped_ratio": 0.4,
|
| 1005 |
+
"completions/max_length": 512.0,
|
| 1006 |
+
"completions/max_terminated_length": 345.8,
|
| 1007 |
+
"completions/mean_length": 358.5,
|
| 1008 |
+
"completions/mean_terminated_length": 235.96666870117187,
|
| 1009 |
+
"completions/min_length": 123.0,
|
| 1010 |
+
"completions/min_terminated_length": 123.0,
|
| 1011 |
+
"entropy": 1.2863860994577407,
|
| 1012 |
+
"epoch": 1.0429447852760736,
|
| 1013 |
+
"frac_reward_zero_std": 0.2,
|
| 1014 |
+
"grad_norm": 2.71185302734375,
|
| 1015 |
+
"learning_rate": 2.4079754601226994e-07,
|
| 1016 |
+
"loss": 0.12254136800765991,
|
| 1017 |
+
"num_tokens": 597345.0,
|
| 1018 |
+
"reward": -0.20274999886751174,
|
| 1019 |
+
"reward_std": 0.1825057201087475,
|
| 1020 |
+
"rewards/format_reward/mean": 0.25750000327825545,
|
| 1021 |
+
"rewards/format_reward/std": 0.19183385372161865,
|
| 1022 |
+
"rewards/security_audit_reward/mean": -0.4,
|
| 1023 |
+
"rewards/security_audit_reward/std": 0.19711971282958984,
|
| 1024 |
+
"step": 170,
|
| 1025 |
+
"step_time": 38.96664929399922
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"clip_ratio/high_max": 0.0,
|
| 1029 |
+
"clip_ratio/high_mean": 0.0,
|
| 1030 |
+
"clip_ratio/low_mean": 0.0,
|
| 1031 |
+
"clip_ratio/low_min": 0.0,
|
| 1032 |
+
"clip_ratio/region_mean": 0.0,
|
| 1033 |
+
"completions/clipped_ratio": 0.5,
|
| 1034 |
+
"completions/max_length": 512.0,
|
| 1035 |
+
"completions/max_terminated_length": 323.4,
|
| 1036 |
+
"completions/mean_length": 407.1,
|
| 1037 |
+
"completions/mean_terminated_length": 234.40000610351564,
|
| 1038 |
+
"completions/min_length": 242.8,
|
| 1039 |
+
"completions/min_terminated_length": 140.4,
|
| 1040 |
+
"entropy": 1.179810070991516,
|
| 1041 |
+
"epoch": 1.0736196319018405,
|
| 1042 |
+
"frac_reward_zero_std": 0.2,
|
| 1043 |
+
"grad_norm": 4.413055419921875,
|
| 1044 |
+
"learning_rate": 2.331288343558282e-07,
|
| 1045 |
+
"loss": 0.041037318110466,
|
| 1046 |
+
"num_tokens": 615063.0,
|
| 1047 |
+
"reward": -0.20374999046325684,
|
| 1048 |
+
"reward_std": 0.2052689865231514,
|
| 1049 |
+
"rewards/format_reward/mean": 0.31250000894069674,
|
| 1050 |
+
"rewards/format_reward/std": 0.22553626000881194,
|
| 1051 |
+
"rewards/security_audit_reward/mean": -0.425,
|
| 1052 |
+
"rewards/security_audit_reward/std": 0.23164966106414794,
|
| 1053 |
+
"step": 175,
|
| 1054 |
+
"step_time": 39.00492364500023
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"clip_ratio/high_max": 0.0,
|
| 1058 |
+
"clip_ratio/high_mean": 0.0,
|
| 1059 |
+
"clip_ratio/low_mean": 0.0,
|
| 1060 |
+
"clip_ratio/low_min": 0.0,
|
| 1061 |
+
"clip_ratio/region_mean": 0.0,
|
| 1062 |
+
"completions/clipped_ratio": 0.3,
|
| 1063 |
+
"completions/max_length": 511.6,
|
| 1064 |
+
"completions/max_terminated_length": 424.0,
|
| 1065 |
+
"completions/mean_length": 399.45,
|
| 1066 |
+
"completions/mean_terminated_length": 347.9166748046875,
|
| 1067 |
+
"completions/min_length": 262.6,
|
| 1068 |
+
"completions/min_terminated_length": 262.6,
|
| 1069 |
+
"entropy": 1.1026120364665986,
|
| 1070 |
+
"epoch": 1.1042944785276074,
|
| 1071 |
+
"frac_reward_zero_std": 0.0,
|
| 1072 |
+
"grad_norm": 4.408414840698242,
|
| 1073 |
+
"learning_rate": 2.254601226993865e-07,
|
| 1074 |
+
"loss": 0.058766734600067136,
|
| 1075 |
+
"num_tokens": 632696.0,
|
| 1076 |
+
"reward": -0.16599998623132706,
|
| 1077 |
+
"reward_std": 0.26377752125263215,
|
| 1078 |
+
"rewards/format_reward/mean": 0.24000000655651094,
|
| 1079 |
+
"rewards/format_reward/std": 0.21778101623058319,
|
| 1080 |
+
"rewards/security_audit_reward/mean": -0.34000000059604646,
|
| 1081 |
+
"rewards/security_audit_reward/std": 0.3105652093887329,
|
| 1082 |
+
"step": 180,
|
| 1083 |
+
"step_time": 39.09616019519963
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"clip_ratio/high_max": 0.0,
|
| 1087 |
+
"clip_ratio/high_mean": 0.0,
|
| 1088 |
+
"clip_ratio/low_mean": 0.0,
|
| 1089 |
+
"clip_ratio/low_min": 0.0,
|
| 1090 |
+
"clip_ratio/region_mean": 0.0,
|
| 1091 |
+
"completions/clipped_ratio": 0.2,
|
| 1092 |
+
"completions/max_length": 477.4,
|
| 1093 |
+
"completions/max_terminated_length": 421.6,
|
| 1094 |
+
"completions/mean_length": 322.45,
|
| 1095 |
+
"completions/mean_terminated_length": 273.1000030517578,
|
| 1096 |
+
"completions/min_length": 156.0,
|
| 1097 |
+
"completions/min_terminated_length": 156.0,
|
| 1098 |
+
"entropy": 1.2888785600662231,
|
| 1099 |
+
"epoch": 1.1349693251533743,
|
| 1100 |
+
"frac_reward_zero_std": 0.0,
|
| 1101 |
+
"grad_norm": 3.6877431869506836,
|
| 1102 |
+
"learning_rate": 2.1779141104294476e-07,
|
| 1103 |
+
"loss": -0.0771723210811615,
|
| 1104 |
+
"num_tokens": 649353.0,
|
| 1105 |
+
"reward": -0.1799999952316284,
|
| 1106 |
+
"reward_std": 0.3134476348757744,
|
| 1107 |
+
"rewards/format_reward/mean": 0.2750000089406967,
|
| 1108 |
+
"rewards/format_reward/std": 0.24135999679565429,
|
| 1109 |
+
"rewards/security_audit_reward/mean": -0.375,
|
| 1110 |
+
"rewards/security_audit_reward/std": 0.3593961834907532,
|
| 1111 |
+
"step": 185,
|
| 1112 |
+
"step_time": 36.71157897000012
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"clip_ratio/high_max": 0.0,
|
| 1116 |
+
"clip_ratio/high_mean": 0.0,
|
| 1117 |
+
"clip_ratio/low_mean": 0.0,
|
| 1118 |
+
"clip_ratio/low_min": 0.0,
|
| 1119 |
+
"clip_ratio/region_mean": 0.0,
|
| 1120 |
+
"completions/clipped_ratio": 0.3,
|
| 1121 |
+
"completions/max_length": 495.0,
|
| 1122 |
+
"completions/max_terminated_length": 351.0,
|
| 1123 |
+
"completions/mean_length": 328.8,
|
| 1124 |
+
"completions/mean_terminated_length": 243.7,
|
| 1125 |
+
"completions/min_length": 164.8,
|
| 1126 |
+
"completions/min_terminated_length": 164.8,
|
| 1127 |
+
"entropy": 1.4585140287876128,
|
| 1128 |
+
"epoch": 1.165644171779141,
|
| 1129 |
+
"frac_reward_zero_std": 0.2,
|
| 1130 |
+
"grad_norm": 4.987306118011475,
|
| 1131 |
+
"learning_rate": 2.1012269938650307e-07,
|
| 1132 |
+
"loss": -0.15080010890960693,
|
| 1133 |
+
"num_tokens": 665513.0,
|
| 1134 |
+
"reward": -0.050499990582466125,
|
| 1135 |
+
"reward_std": 0.2684710592031479,
|
| 1136 |
+
"rewards/format_reward/mean": 0.31000000387430193,
|
| 1137 |
+
"rewards/format_reward/std": 0.1994625985622406,
|
| 1138 |
+
"rewards/security_audit_reward/mean": -0.20500000119209288,
|
| 1139 |
+
"rewards/security_audit_reward/std": 0.31255176067352297,
|
| 1140 |
+
"step": 190,
|
| 1141 |
+
"step_time": 37.63543628939988
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"clip_ratio/high_max": 0.0,
|
| 1145 |
+
"clip_ratio/high_mean": 0.0,
|
| 1146 |
+
"clip_ratio/low_mean": 0.0,
|
| 1147 |
+
"clip_ratio/low_min": 0.0,
|
| 1148 |
+
"clip_ratio/region_mean": 0.0,
|
| 1149 |
+
"completions/clipped_ratio": 0.5,
|
| 1150 |
+
"completions/max_length": 512.0,
|
| 1151 |
+
"completions/max_terminated_length": 307.8,
|
| 1152 |
+
"completions/mean_length": 391.75,
|
| 1153 |
+
"completions/mean_terminated_length": 253.06666870117186,
|
| 1154 |
+
"completions/min_length": 178.0,
|
| 1155 |
+
"completions/min_terminated_length": 178.0,
|
| 1156 |
+
"entropy": 1.1293343544006347,
|
| 1157 |
+
"epoch": 1.196319018404908,
|
| 1158 |
+
"frac_reward_zero_std": 0.1,
|
| 1159 |
+
"grad_norm": 5.247244358062744,
|
| 1160 |
+
"learning_rate": 2.0245398773006135e-07,
|
| 1161 |
+
"loss": -0.04229157567024231,
|
| 1162 |
+
"num_tokens": 683268.0,
|
| 1163 |
+
"reward": -0.10224998965859414,
|
| 1164 |
+
"reward_std": 0.19266743455082178,
|
| 1165 |
+
"rewards/format_reward/mean": 0.3124999929219484,
|
| 1166 |
+
"rewards/format_reward/std": 0.1390557773411274,
|
| 1167 |
+
"rewards/security_audit_reward/mean": -0.2800000011920929,
|
| 1168 |
+
"rewards/security_audit_reward/std": 0.23863712549209595,
|
| 1169 |
+
"step": 195,
|
| 1170 |
+
"step_time": 38.93936442300037
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"clip_ratio/high_max": 0.0,
|
| 1174 |
+
"clip_ratio/high_mean": 0.0,
|
| 1175 |
+
"clip_ratio/low_mean": 0.0,
|
| 1176 |
+
"clip_ratio/low_min": 0.0,
|
| 1177 |
+
"clip_ratio/region_mean": 0.0,
|
| 1178 |
+
"completions/clipped_ratio": 0.4,
|
| 1179 |
+
"completions/max_length": 485.0,
|
| 1180 |
+
"completions/max_terminated_length": 346.2,
|
| 1181 |
+
"completions/mean_length": 364.6,
|
| 1182 |
+
"completions/mean_terminated_length": 265.8166748046875,
|
| 1183 |
+
"completions/min_length": 165.8,
|
| 1184 |
+
"completions/min_terminated_length": 165.8,
|
| 1185 |
+
"entropy": 0.8287177711725235,
|
| 1186 |
+
"epoch": 1.2269938650306749,
|
| 1187 |
+
"frac_reward_zero_std": 0.1,
|
| 1188 |
+
"grad_norm": 2.4230945110321045,
|
| 1189 |
+
"learning_rate": 1.9478527607361963e-07,
|
| 1190 |
+
"loss": -0.05633368492126465,
|
| 1191 |
+
"num_tokens": 700760.0,
|
| 1192 |
+
"reward": -0.1807499848306179,
|
| 1193 |
+
"reward_std": 0.18529897555708885,
|
| 1194 |
+
"rewards/format_reward/mean": 0.3075000137090683,
|
| 1195 |
+
"rewards/format_reward/std": 0.15467575192451477,
|
| 1196 |
+
"rewards/security_audit_reward/mean": -0.39000000059604645,
|
| 1197 |
+
"rewards/security_audit_reward/std": 0.2105652093887329,
|
| 1198 |
+
"step": 200,
|
| 1199 |
+
"step_time": 37.065423558799736
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"clip_ratio/high_max": 0.0,
|
| 1203 |
+
"clip_ratio/high_mean": 0.0,
|
| 1204 |
+
"clip_ratio/low_mean": 0.0,
|
| 1205 |
+
"clip_ratio/low_min": 0.0,
|
| 1206 |
+
"clip_ratio/region_mean": 0.0,
|
| 1207 |
+
"completions/clipped_ratio": 0.25,
|
| 1208 |
+
"completions/max_length": 431.6,
|
| 1209 |
+
"completions/max_terminated_length": 338.8,
|
| 1210 |
+
"completions/mean_length": 284.1,
|
| 1211 |
+
"completions/mean_terminated_length": 225.65,
|
| 1212 |
+
"completions/min_length": 119.4,
|
| 1213 |
+
"completions/min_terminated_length": 119.4,
|
| 1214 |
+
"entropy": 1.2736368715763091,
|
| 1215 |
+
"epoch": 1.2576687116564418,
|
| 1216 |
+
"frac_reward_zero_std": 0.1,
|
| 1217 |
+
"grad_norm": 4.797567367553711,
|
| 1218 |
+
"learning_rate": 1.8711656441717791e-07,
|
| 1219 |
+
"loss": 0.08297693133354186,
|
| 1220 |
+
"num_tokens": 716344.0,
|
| 1221 |
+
"reward": -0.07274999544024467,
|
| 1222 |
+
"reward_std": 0.24350565671920776,
|
| 1223 |
+
"rewards/format_reward/mean": 0.31749999821186065,
|
| 1224 |
+
"rewards/format_reward/std": 0.19669782146811485,
|
| 1225 |
+
"rewards/security_audit_reward/mean": -0.23999999985098838,
|
| 1226 |
+
"rewards/security_audit_reward/std": 0.2692204549908638,
|
| 1227 |
+
"step": 205,
|
| 1228 |
+
"step_time": 33.11877055760014
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"clip_ratio/high_max": 0.0,
|
| 1232 |
+
"clip_ratio/high_mean": 0.0,
|
| 1233 |
+
"clip_ratio/low_mean": 0.0,
|
| 1234 |
+
"clip_ratio/low_min": 0.0,
|
| 1235 |
+
"clip_ratio/region_mean": 0.0,
|
| 1236 |
+
"completions/clipped_ratio": 0.25,
|
| 1237 |
+
"completions/max_length": 484.0,
|
| 1238 |
+
"completions/max_terminated_length": 403.2,
|
| 1239 |
+
"completions/mean_length": 335.45,
|
| 1240 |
+
"completions/mean_terminated_length": 276.4500030517578,
|
| 1241 |
+
"completions/min_length": 173.8,
|
| 1242 |
+
"completions/min_terminated_length": 173.8,
|
| 1243 |
+
"entropy": 1.1084223449230195,
|
| 1244 |
+
"epoch": 1.2883435582822087,
|
| 1245 |
+
"frac_reward_zero_std": 0.1,
|
| 1246 |
+
"grad_norm": 2.4603023529052734,
|
| 1247 |
+
"learning_rate": 1.7944785276073617e-07,
|
| 1248 |
+
"loss": 0.07945090532302856,
|
| 1249 |
+
"num_tokens": 733245.0,
|
| 1250 |
+
"reward": -0.13774999380111694,
|
| 1251 |
+
"reward_std": 0.2730386942625046,
|
| 1252 |
+
"rewards/format_reward/mean": 0.2174999989569187,
|
| 1253 |
+
"rewards/format_reward/std": 0.22229814901947975,
|
| 1254 |
+
"rewards/security_audit_reward/mean": -0.29000000059604647,
|
| 1255 |
+
"rewards/security_audit_reward/std": 0.3105652093887329,
|
| 1256 |
+
"step": 210,
|
| 1257 |
+
"step_time": 37.03591289120122
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"clip_ratio/high_max": 0.0,
|
| 1261 |
+
"clip_ratio/high_mean": 0.0,
|
| 1262 |
+
"clip_ratio/low_mean": 0.0,
|
| 1263 |
+
"clip_ratio/low_min": 0.0,
|
| 1264 |
+
"clip_ratio/region_mean": 0.0,
|
| 1265 |
+
"completions/clipped_ratio": 0.4,
|
| 1266 |
+
"completions/max_length": 512.0,
|
| 1267 |
+
"completions/max_terminated_length": 361.8,
|
| 1268 |
+
"completions/mean_length": 345.0,
|
| 1269 |
+
"completions/mean_terminated_length": 261.3000030517578,
|
| 1270 |
+
"completions/min_length": 184.8,
|
| 1271 |
+
"completions/min_terminated_length": 184.8,
|
| 1272 |
+
"entropy": 1.2274070978164673,
|
| 1273 |
+
"epoch": 1.3190184049079754,
|
| 1274 |
+
"frac_reward_zero_std": 0.0,
|
| 1275 |
+
"grad_norm": 4.573819637298584,
|
| 1276 |
+
"learning_rate": 1.7177914110429448e-07,
|
| 1277 |
+
"loss": -0.07497722506523133,
|
| 1278 |
+
"num_tokens": 749917.0,
|
| 1279 |
+
"reward": -0.01174999624490738,
|
| 1280 |
+
"reward_std": 0.3002330154180527,
|
| 1281 |
+
"rewards/format_reward/mean": 0.3225000023841858,
|
| 1282 |
+
"rewards/format_reward/std": 0.1751384623348713,
|
| 1283 |
+
"rewards/security_audit_reward/mean": -0.15499999821186067,
|
| 1284 |
+
"rewards/security_audit_reward/std": 0.3648489773273468,
|
| 1285 |
+
"step": 215,
|
| 1286 |
+
"step_time": 38.89012140319937
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"clip_ratio/high_max": 0.0,
|
| 1290 |
+
"clip_ratio/high_mean": 0.0,
|
| 1291 |
+
"clip_ratio/low_mean": 0.0,
|
| 1292 |
+
"clip_ratio/low_min": 0.0,
|
| 1293 |
+
"clip_ratio/region_mean": 0.0,
|
| 1294 |
+
"completions/clipped_ratio": 0.2,
|
| 1295 |
+
"completions/max_length": 481.8,
|
| 1296 |
+
"completions/max_terminated_length": 344.6,
|
| 1297 |
+
"completions/mean_length": 292.3,
|
| 1298 |
+
"completions/mean_terminated_length": 234.26666870117188,
|
| 1299 |
+
"completions/min_length": 122.2,
|
| 1300 |
+
"completions/min_terminated_length": 122.2,
|
| 1301 |
+
"entropy": 1.1711494624614716,
|
| 1302 |
+
"epoch": 1.3496932515337423,
|
| 1303 |
+
"frac_reward_zero_std": 0.1,
|
| 1304 |
+
"grad_norm": 3.879939556121826,
|
| 1305 |
+
"learning_rate": 1.6411042944785276e-07,
|
| 1306 |
+
"loss": 0.06901218891143798,
|
| 1307 |
+
"num_tokens": 765457.0,
|
| 1308 |
+
"reward": -0.2002499908208847,
|
| 1309 |
+
"reward_std": 0.19745510853827,
|
| 1310 |
+
"rewards/format_reward/mean": 0.20749999657273294,
|
| 1311 |
+
"rewards/format_reward/std": 0.2098293460905552,
|
| 1312 |
+
"rewards/security_audit_reward/mean": -0.375,
|
| 1313 |
+
"rewards/security_audit_reward/std": 0.20773502588272094,
|
| 1314 |
+
"step": 220,
|
| 1315 |
+
"step_time": 36.50884771559977
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"clip_ratio/high_max": 0.0,
|
| 1319 |
+
"clip_ratio/high_mean": 0.0,
|
| 1320 |
+
"clip_ratio/low_mean": 0.0,
|
| 1321 |
+
"clip_ratio/low_min": 0.0,
|
| 1322 |
+
"clip_ratio/region_mean": 0.0,
|
| 1323 |
+
"completions/clipped_ratio": 0.35,
|
| 1324 |
+
"completions/max_length": 451.4,
|
| 1325 |
+
"completions/max_terminated_length": 281.8,
|
| 1326 |
+
"completions/mean_length": 310.85,
|
| 1327 |
+
"completions/mean_terminated_length": 210.58333435058594,
|
| 1328 |
+
"completions/min_length": 144.0,
|
| 1329 |
+
"completions/min_terminated_length": 144.0,
|
| 1330 |
+
"entropy": 1.4326449751853942,
|
| 1331 |
+
"epoch": 1.3803680981595092,
|
| 1332 |
+
"frac_reward_zero_std": 0.0,
|
| 1333 |
+
"grad_norm": 5.483170986175537,
|
| 1334 |
+
"learning_rate": 1.5644171779141104e-07,
|
| 1335 |
+
"loss": -0.03490494191646576,
|
| 1336 |
+
"num_tokens": 782226.0,
|
| 1337 |
+
"reward": -0.14649999141693115,
|
| 1338 |
+
"reward_std": 0.19791007936000823,
|
| 1339 |
+
"rewards/format_reward/mean": 0.3049999952316284,
|
| 1340 |
+
"rewards/format_reward/std": 0.19433450996875762,
|
| 1341 |
+
"rewards/security_audit_reward/mean": -0.3399999998509884,
|
| 1342 |
+
"rewards/security_audit_reward/std": 0.22000000029802322,
|
| 1343 |
+
"step": 225,
|
| 1344 |
+
"step_time": 35.079213985799655
|
| 1345 |
+
},
|
| 1346 |
+
{
|
| 1347 |
+
"clip_ratio/high_max": 0.0,
|
| 1348 |
+
"clip_ratio/high_mean": 0.0,
|
| 1349 |
+
"clip_ratio/low_mean": 0.0,
|
| 1350 |
+
"clip_ratio/low_min": 0.0,
|
| 1351 |
+
"clip_ratio/region_mean": 0.0,
|
| 1352 |
+
"completions/clipped_ratio": 0.35,
|
| 1353 |
+
"completions/max_length": 511.2,
|
| 1354 |
+
"completions/max_terminated_length": 315.2,
|
| 1355 |
+
"completions/mean_length": 338.15,
|
| 1356 |
+
"completions/mean_terminated_length": 226.28333435058593,
|
| 1357 |
+
"completions/min_length": 134.8,
|
| 1358 |
+
"completions/min_terminated_length": 134.8,
|
| 1359 |
+
"entropy": 1.1364098012447357,
|
| 1360 |
+
"epoch": 1.4110429447852761,
|
| 1361 |
+
"frac_reward_zero_std": 0.2,
|
| 1362 |
+
"grad_norm": 3.3578364849090576,
|
| 1363 |
+
"learning_rate": 1.4877300613496933e-07,
|
| 1364 |
+
"loss": 0.0896155834197998,
|
| 1365 |
+
"num_tokens": 798571.0,
|
| 1366 |
+
"reward": -0.11574998870491982,
|
| 1367 |
+
"reward_std": 0.19651760943233967,
|
| 1368 |
+
"rewards/format_reward/mean": 0.2674999989569187,
|
| 1369 |
+
"rewards/format_reward/std": 0.15046989992260934,
|
| 1370 |
+
"rewards/security_audit_reward/mean": -0.27999999821186067,
|
| 1371 |
+
"rewards/security_audit_reward/std": 0.2297215759754181,
|
| 1372 |
+
"step": 230,
|
| 1373 |
+
"step_time": 38.61798697480081
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"clip_ratio/high_max": 0.0,
|
| 1377 |
+
"clip_ratio/high_mean": 0.0,
|
| 1378 |
+
"clip_ratio/low_mean": 0.0,
|
| 1379 |
+
"clip_ratio/low_min": 0.0,
|
| 1380 |
+
"clip_ratio/region_mean": 0.0,
|
| 1381 |
+
"completions/clipped_ratio": 0.35,
|
| 1382 |
+
"completions/max_length": 505.4,
|
| 1383 |
+
"completions/max_terminated_length": 385.4,
|
| 1384 |
+
"completions/mean_length": 360.65,
|
| 1385 |
+
"completions/mean_terminated_length": 295.23333740234375,
|
| 1386 |
+
"completions/min_length": 210.2,
|
| 1387 |
+
"completions/min_terminated_length": 210.2,
|
| 1388 |
+
"entropy": 1.0565216183662414,
|
| 1389 |
+
"epoch": 1.441717791411043,
|
| 1390 |
+
"frac_reward_zero_std": 0.0,
|
| 1391 |
+
"grad_norm": 4.266097068786621,
|
| 1392 |
+
"learning_rate": 1.4110429447852758e-07,
|
| 1393 |
+
"loss": 0.07759050726890564,
|
| 1394 |
+
"num_tokens": 815570.0,
|
| 1395 |
+
"reward": -0.06749999299645423,
|
| 1396 |
+
"reward_std": 0.27374918162822726,
|
| 1397 |
+
"rewards/format_reward/mean": 0.37000001072883604,
|
| 1398 |
+
"rewards/format_reward/std": 0.1865294199436903,
|
| 1399 |
+
"rewards/security_audit_reward/mean": -0.2550000011920929,
|
| 1400 |
+
"rewards/security_audit_reward/std": 0.32802181243896483,
|
| 1401 |
+
"step": 235,
|
| 1402 |
+
"step_time": 38.44030983600023
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"clip_ratio/high_max": 0.0,
|
| 1406 |
+
"clip_ratio/high_mean": 0.0,
|
| 1407 |
+
"clip_ratio/low_mean": 0.0,
|
| 1408 |
+
"clip_ratio/low_min": 0.0,
|
| 1409 |
+
"clip_ratio/region_mean": 0.0,
|
| 1410 |
+
"completions/clipped_ratio": 0.3,
|
| 1411 |
+
"completions/max_length": 495.6,
|
| 1412 |
+
"completions/max_terminated_length": 352.6,
|
| 1413 |
+
"completions/mean_length": 336.05,
|
| 1414 |
+
"completions/mean_terminated_length": 243.60000915527343,
|
| 1415 |
+
"completions/min_length": 145.8,
|
| 1416 |
+
"completions/min_terminated_length": 145.8,
|
| 1417 |
+
"entropy": 1.417020809650421,
|
| 1418 |
+
"epoch": 1.4723926380368098,
|
| 1419 |
+
"frac_reward_zero_std": 0.2,
|
| 1420 |
+
"grad_norm": 4.767548084259033,
|
| 1421 |
+
"learning_rate": 1.334355828220859e-07,
|
| 1422 |
+
"loss": 0.03671485185623169,
|
| 1423 |
+
"num_tokens": 831713.0,
|
| 1424 |
+
"reward": -0.12849999219179153,
|
| 1425 |
+
"reward_std": 0.19381159394979477,
|
| 1426 |
+
"rewards/format_reward/mean": 0.3300000041723251,
|
| 1427 |
+
"rewards/format_reward/std": 0.20168980173766612,
|
| 1428 |
+
"rewards/security_audit_reward/mean": -0.325,
|
| 1429 |
+
"rewards/security_audit_reward/std": 0.20773502588272094,
|
| 1430 |
+
"step": 240,
|
| 1431 |
+
"step_time": 37.49174958900003
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"clip_ratio/high_max": 0.0,
|
| 1435 |
+
"clip_ratio/high_mean": 0.0,
|
| 1436 |
+
"clip_ratio/low_mean": 0.0,
|
| 1437 |
+
"clip_ratio/low_min": 0.0,
|
| 1438 |
+
"clip_ratio/region_mean": 0.0,
|
| 1439 |
+
"completions/clipped_ratio": 0.6,
|
| 1440 |
+
"completions/max_length": 512.0,
|
| 1441 |
+
"completions/max_terminated_length": 343.0,
|
| 1442 |
+
"completions/mean_length": 417.3,
|
| 1443 |
+
"completions/mean_terminated_length": 293.7,
|
| 1444 |
+
"completions/min_length": 246.8,
|
| 1445 |
+
"completions/min_terminated_length": 246.8,
|
| 1446 |
+
"entropy": 1.0088598132133484,
|
| 1447 |
+
"epoch": 1.5030674846625767,
|
| 1448 |
+
"frac_reward_zero_std": 0.0,
|
| 1449 |
+
"grad_norm": 3.1936607360839844,
|
| 1450 |
+
"learning_rate": 1.2576687116564417e-07,
|
| 1451 |
+
"loss": -0.03240810632705689,
|
| 1452 |
+
"num_tokens": 849855.0,
|
| 1453 |
+
"reward": -0.11324999332427979,
|
| 1454 |
+
"reward_std": 0.2602782666683197,
|
| 1455 |
+
"rewards/format_reward/mean": 0.3224999994039536,
|
| 1456 |
+
"rewards/format_reward/std": 0.20757876634597777,
|
| 1457 |
+
"rewards/security_audit_reward/mean": -0.3,
|
| 1458 |
+
"rewards/security_audit_reward/std": 0.3154700517654419,
|
| 1459 |
+
"step": 245,
|
| 1460 |
+
"step_time": 39.07302968719996
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"clip_ratio/high_max": 0.0,
|
| 1464 |
+
"clip_ratio/high_mean": 0.0,
|
| 1465 |
+
"clip_ratio/low_mean": 0.0,
|
| 1466 |
+
"clip_ratio/low_min": 0.0,
|
| 1467 |
+
"clip_ratio/region_mean": 0.0,
|
| 1468 |
+
"completions/clipped_ratio": 0.2,
|
| 1469 |
+
"completions/max_length": 459.6,
|
| 1470 |
+
"completions/max_terminated_length": 428.2,
|
| 1471 |
+
"completions/mean_length": 325.35,
|
| 1472 |
+
"completions/mean_terminated_length": 277.5833374023438,
|
| 1473 |
+
"completions/min_length": 137.0,
|
| 1474 |
+
"completions/min_terminated_length": 137.0,
|
| 1475 |
+
"entropy": 1.1867628961801528,
|
| 1476 |
+
"epoch": 1.5337423312883436,
|
| 1477 |
+
"frac_reward_zero_std": 0.1,
|
| 1478 |
+
"grad_norm": 3.9449942111968994,
|
| 1479 |
+
"learning_rate": 1.1809815950920244e-07,
|
| 1480 |
+
"loss": -0.005416367202997208,
|
| 1481 |
+
"num_tokens": 866330.0,
|
| 1482 |
+
"reward": -0.08199999034404755,
|
| 1483 |
+
"reward_std": 0.2747137784957886,
|
| 1484 |
+
"rewards/format_reward/mean": 0.3099999874830246,
|
| 1485 |
+
"rewards/format_reward/std": 0.17935641929507257,
|
| 1486 |
+
"rewards/security_audit_reward/mean": -0.25,
|
| 1487 |
+
"rewards/security_audit_reward/std": 0.33094010353088377,
|
| 1488 |
+
"step": 250,
|
| 1489 |
+
"step_time": 35.27377968320034
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"clip_ratio/high_max": 0.0,
|
| 1493 |
+
"clip_ratio/high_mean": 0.0,
|
| 1494 |
+
"clip_ratio/low_mean": 0.0,
|
| 1495 |
+
"clip_ratio/low_min": 0.0,
|
| 1496 |
+
"clip_ratio/region_mean": 0.0,
|
| 1497 |
+
"completions/clipped_ratio": 0.25,
|
| 1498 |
+
"completions/max_length": 450.0,
|
| 1499 |
+
"completions/max_terminated_length": 311.2,
|
| 1500 |
+
"completions/mean_length": 283.8,
|
| 1501 |
+
"completions/mean_terminated_length": 202.06666870117186,
|
| 1502 |
+
"completions/min_length": 128.0,
|
| 1503 |
+
"completions/min_terminated_length": 128.0,
|
| 1504 |
+
"entropy": 1.322118791937828,
|
| 1505 |
+
"epoch": 1.5644171779141103,
|
| 1506 |
+
"frac_reward_zero_std": 0.1,
|
| 1507 |
+
"grad_norm": 6.9948039054870605,
|
| 1508 |
+
"learning_rate": 1.1042944785276073e-07,
|
| 1509 |
+
"loss": 0.055895209312438965,
|
| 1510 |
+
"num_tokens": 881650.0,
|
| 1511 |
+
"reward": -0.11924999132752419,
|
| 1512 |
+
"reward_std": 0.14510822538286447,
|
| 1513 |
+
"rewards/format_reward/mean": 0.3024999976158142,
|
| 1514 |
+
"rewards/format_reward/std": 0.15741010159254074,
|
| 1515 |
+
"rewards/security_audit_reward/mean": -0.3,
|
| 1516 |
+
"rewards/security_audit_reward/std": 0.15773502588272095,
|
| 1517 |
+
"step": 255,
|
| 1518 |
+
"step_time": 34.332786842800125
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"clip_ratio/high_max": 0.0,
|
| 1522 |
+
"clip_ratio/high_mean": 0.0,
|
| 1523 |
+
"clip_ratio/low_mean": 0.0,
|
| 1524 |
+
"clip_ratio/low_min": 0.0,
|
| 1525 |
+
"clip_ratio/region_mean": 0.0,
|
| 1526 |
+
"completions/clipped_ratio": 0.3,
|
| 1527 |
+
"completions/max_length": 485.0,
|
| 1528 |
+
"completions/max_terminated_length": 312.2,
|
| 1529 |
+
"completions/mean_length": 312.0,
|
| 1530 |
+
"completions/mean_terminated_length": 225.13333740234376,
|
| 1531 |
+
"completions/min_length": 141.8,
|
| 1532 |
+
"completions/min_terminated_length": 141.8,
|
| 1533 |
+
"entropy": 1.1261488378047944,
|
| 1534 |
+
"epoch": 1.5950920245398774,
|
| 1535 |
+
"frac_reward_zero_std": 0.1,
|
| 1536 |
+
"grad_norm": 5.633542537689209,
|
| 1537 |
+
"learning_rate": 1.0276073619631902e-07,
|
| 1538 |
+
"loss": 0.12422184944152832,
|
| 1539 |
+
"num_tokens": 898170.0,
|
| 1540 |
+
"reward": -0.09424999356269836,
|
| 1541 |
+
"reward_std": 0.2452640563249588,
|
| 1542 |
+
"rewards/format_reward/mean": 0.3274999916553497,
|
| 1543 |
+
"rewards/format_reward/std": 0.19424656331539153,
|
| 1544 |
+
"rewards/security_audit_reward/mean": -0.275,
|
| 1545 |
+
"rewards/security_audit_reward/std": 0.29574271440505984,
|
| 1546 |
+
"step": 260,
|
| 1547 |
+
"step_time": 37.18088837539908
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"clip_ratio/high_max": 0.0,
|
| 1551 |
+
"clip_ratio/high_mean": 0.0,
|
| 1552 |
+
"clip_ratio/low_mean": 0.0,
|
| 1553 |
+
"clip_ratio/low_min": 0.0,
|
| 1554 |
+
"clip_ratio/region_mean": 0.0,
|
| 1555 |
+
"completions/clipped_ratio": 0.3,
|
| 1556 |
+
"completions/max_length": 481.4,
|
| 1557 |
+
"completions/max_terminated_length": 333.8,
|
| 1558 |
+
"completions/mean_length": 323.4,
|
| 1559 |
+
"completions/mean_terminated_length": 233.95,
|
| 1560 |
+
"completions/min_length": 174.6,
|
| 1561 |
+
"completions/min_terminated_length": 174.6,
|
| 1562 |
+
"entropy": 1.3164357602596284,
|
| 1563 |
+
"epoch": 1.6257668711656441,
|
| 1564 |
+
"frac_reward_zero_std": 0.2,
|
| 1565 |
+
"grad_norm": 4.177126884460449,
|
| 1566 |
+
"learning_rate": 9.50920245398773e-08,
|
| 1567 |
+
"loss": -0.0031075358390808107,
|
| 1568 |
+
"num_tokens": 914438.0,
|
| 1569 |
+
"reward": -0.109499990940094,
|
| 1570 |
+
"reward_std": 0.19355954378843307,
|
| 1571 |
+
"rewards/format_reward/mean": 0.3700000077486038,
|
| 1572 |
+
"rewards/format_reward/std": 0.19431518614292145,
|
| 1573 |
+
"rewards/security_audit_reward/mean": -0.31500000059604644,
|
| 1574 |
+
"rewards/security_audit_reward/std": 0.21745660305023193,
|
| 1575 |
+
"step": 265,
|
| 1576 |
+
"step_time": 36.75480746599969
|
| 1577 |
+
},
|
| 1578 |
+
{
|
| 1579 |
+
"clip_ratio/high_max": 0.0,
|
| 1580 |
+
"clip_ratio/high_mean": 0.0,
|
| 1581 |
+
"clip_ratio/low_mean": 0.0,
|
| 1582 |
+
"clip_ratio/low_min": 0.0,
|
| 1583 |
+
"clip_ratio/region_mean": 0.0,
|
| 1584 |
+
"completions/clipped_ratio": 0.15,
|
| 1585 |
+
"completions/max_length": 460.2,
|
| 1586 |
+
"completions/max_terminated_length": 279.2,
|
| 1587 |
+
"completions/mean_length": 224.9,
|
| 1588 |
+
"completions/mean_terminated_length": 170.45000305175782,
|
| 1589 |
+
"completions/min_length": 84.4,
|
| 1590 |
+
"completions/min_terminated_length": 84.4,
|
| 1591 |
+
"entropy": 1.267154586315155,
|
| 1592 |
+
"epoch": 1.656441717791411,
|
| 1593 |
+
"frac_reward_zero_std": 0.2,
|
| 1594 |
+
"grad_norm": 7.552680015563965,
|
| 1595 |
+
"learning_rate": 8.742331288343557e-08,
|
| 1596 |
+
"loss": -0.12154214382171631,
|
| 1597 |
+
"num_tokens": 928536.0,
|
| 1598 |
+
"reward": -0.07999998778104782,
|
| 1599 |
+
"reward_std": 0.16925212144851684,
|
| 1600 |
+
"rewards/format_reward/mean": 0.37499999403953554,
|
| 1601 |
+
"rewards/format_reward/std": 0.1521439790725708,
|
| 1602 |
+
"rewards/security_audit_reward/mean": -0.275,
|
| 1603 |
+
"rewards/security_audit_reward/std": 0.20773502588272094,
|
| 1604 |
+
"step": 270,
|
| 1605 |
+
"step_time": 35.04094967719975
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"clip_ratio/high_max": 0.0,
|
| 1609 |
+
"clip_ratio/high_mean": 0.0,
|
| 1610 |
+
"clip_ratio/low_mean": 0.0,
|
| 1611 |
+
"clip_ratio/low_min": 0.0,
|
| 1612 |
+
"clip_ratio/region_mean": 0.0,
|
| 1613 |
+
"completions/clipped_ratio": 0.3,
|
| 1614 |
+
"completions/max_length": 469.4,
|
| 1615 |
+
"completions/max_terminated_length": 287.6,
|
| 1616 |
+
"completions/mean_length": 300.95,
|
| 1617 |
+
"completions/mean_terminated_length": 204.76667175292968,
|
| 1618 |
+
"completions/min_length": 130.0,
|
| 1619 |
+
"completions/min_terminated_length": 130.0,
|
| 1620 |
+
"entropy": 1.1936017721891403,
|
| 1621 |
+
"epoch": 1.687116564417178,
|
| 1622 |
+
"frac_reward_zero_std": 0.2,
|
| 1623 |
+
"grad_norm": 7.106525421142578,
|
| 1624 |
+
"learning_rate": 7.975460122699386e-08,
|
| 1625 |
+
"loss": -0.0458857923746109,
|
| 1626 |
+
"num_tokens": 944307.0,
|
| 1627 |
+
"reward": -0.05174999088048935,
|
| 1628 |
+
"reward_std": 0.23333178758621215,
|
| 1629 |
+
"rewards/format_reward/mean": 0.3874999940395355,
|
| 1630 |
+
"rewards/format_reward/std": 0.16559004038572311,
|
| 1631 |
+
"rewards/security_audit_reward/mean": -0.24000000059604645,
|
| 1632 |
+
"rewards/security_audit_reward/std": 0.2866505742073059,
|
| 1633 |
+
"step": 275,
|
| 1634 |
+
"step_time": 36.0470411268001
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"clip_ratio/high_max": 0.0,
|
| 1638 |
+
"clip_ratio/high_mean": 0.0,
|
| 1639 |
+
"clip_ratio/low_mean": 0.0,
|
| 1640 |
+
"clip_ratio/low_min": 0.0,
|
| 1641 |
+
"clip_ratio/region_mean": 0.0,
|
| 1642 |
+
"completions/clipped_ratio": 0.2,
|
| 1643 |
+
"completions/max_length": 498.6,
|
| 1644 |
+
"completions/max_terminated_length": 375.0,
|
| 1645 |
+
"completions/mean_length": 295.25,
|
| 1646 |
+
"completions/mean_terminated_length": 232.6666717529297,
|
| 1647 |
+
"completions/min_length": 97.8,
|
| 1648 |
+
"completions/min_terminated_length": 97.8,
|
| 1649 |
+
"entropy": 1.460896384716034,
|
| 1650 |
+
"epoch": 1.7177914110429446,
|
| 1651 |
+
"frac_reward_zero_std": 0.0,
|
| 1652 |
+
"grad_norm": 5.004129409790039,
|
| 1653 |
+
"learning_rate": 7.208588957055214e-08,
|
| 1654 |
+
"loss": -0.10658804178237916,
|
| 1655 |
+
"num_tokens": 960078.0,
|
| 1656 |
+
"reward": -0.01824999153614044,
|
| 1657 |
+
"reward_std": 0.2521414369344711,
|
| 1658 |
+
"rewards/format_reward/mean": 0.3825000047683716,
|
| 1659 |
+
"rewards/format_reward/std": 0.15327396541833876,
|
| 1660 |
+
"rewards/security_audit_reward/mean": -0.1899999976158142,
|
| 1661 |
+
"rewards/security_audit_reward/std": 0.3234777390956879,
|
| 1662 |
+
"step": 280,
|
| 1663 |
+
"step_time": 37.26412723539943
|
| 1664 |
+
},
|
| 1665 |
+
{
|
| 1666 |
+
"clip_ratio/high_max": 0.0,
|
| 1667 |
+
"clip_ratio/high_mean": 0.0,
|
| 1668 |
+
"clip_ratio/low_mean": 0.0,
|
| 1669 |
+
"clip_ratio/low_min": 0.0,
|
| 1670 |
+
"clip_ratio/region_mean": 0.0,
|
| 1671 |
+
"completions/clipped_ratio": 0.3,
|
| 1672 |
+
"completions/max_length": 501.0,
|
| 1673 |
+
"completions/max_terminated_length": 363.2,
|
| 1674 |
+
"completions/mean_length": 340.6,
|
| 1675 |
+
"completions/mean_terminated_length": 257.06666870117186,
|
| 1676 |
+
"completions/min_length": 146.2,
|
| 1677 |
+
"completions/min_terminated_length": 146.2,
|
| 1678 |
+
"entropy": 1.0431257128715514,
|
| 1679 |
+
"epoch": 1.7484662576687118,
|
| 1680 |
+
"frac_reward_zero_std": 0.1,
|
| 1681 |
+
"grad_norm": 4.059199333190918,
|
| 1682 |
+
"learning_rate": 6.441717791411043e-08,
|
| 1683 |
+
"loss": -0.10386581420898437,
|
| 1684 |
+
"num_tokens": 976992.0,
|
| 1685 |
+
"reward": -0.06924999207258224,
|
| 1686 |
+
"reward_std": 0.2484972782433033,
|
| 1687 |
+
"rewards/format_reward/mean": 0.38750000596046447,
|
| 1688 |
+
"rewards/format_reward/std": 0.1250488668680191,
|
| 1689 |
+
"rewards/security_audit_reward/mean": -0.26500000059604645,
|
| 1690 |
+
"rewards/security_audit_reward/std": 0.3080150008201599,
|
| 1691 |
+
"step": 285,
|
| 1692 |
+
"step_time": 38.17630281240017
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"clip_ratio/high_max": 0.0,
|
| 1696 |
+
"clip_ratio/high_mean": 0.0,
|
| 1697 |
+
"clip_ratio/low_mean": 0.0,
|
| 1698 |
+
"clip_ratio/low_min": 0.0,
|
| 1699 |
+
"clip_ratio/region_mean": 0.0,
|
| 1700 |
+
"completions/clipped_ratio": 0.05,
|
| 1701 |
+
"completions/max_length": 435.0,
|
| 1702 |
+
"completions/max_terminated_length": 413.6,
|
| 1703 |
+
"completions/mean_length": 281.65,
|
| 1704 |
+
"completions/mean_terminated_length": 274.0,
|
| 1705 |
+
"completions/min_length": 152.0,
|
| 1706 |
+
"completions/min_terminated_length": 152.0,
|
| 1707 |
+
"entropy": 1.1775987446308136,
|
| 1708 |
+
"epoch": 1.7791411042944785,
|
| 1709 |
+
"frac_reward_zero_std": 0.3,
|
| 1710 |
+
"grad_norm": 4.12350606918335,
|
| 1711 |
+
"learning_rate": 5.674846625766871e-08,
|
| 1712 |
+
"loss": -0.03856886327266693,
|
| 1713 |
+
"num_tokens": 992819.0,
|
| 1714 |
+
"reward": -0.05999999046325684,
|
| 1715 |
+
"reward_std": 0.1456713281571865,
|
| 1716 |
+
"rewards/format_reward/mean": 0.360000005364418,
|
| 1717 |
+
"rewards/format_reward/std": 0.12044776938855647,
|
| 1718 |
+
"rewards/security_audit_reward/mean": -0.23999999985098838,
|
| 1719 |
+
"rewards/security_audit_reward/std": 0.17773502618074416,
|
| 1720 |
+
"step": 290,
|
| 1721 |
+
"step_time": 33.279480656001034
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"clip_ratio/high_max": 0.0,
|
| 1725 |
+
"clip_ratio/high_mean": 0.0,
|
| 1726 |
+
"clip_ratio/low_mean": 0.0,
|
| 1727 |
+
"clip_ratio/low_min": 0.0,
|
| 1728 |
+
"clip_ratio/region_mean": 0.0,
|
| 1729 |
+
"completions/clipped_ratio": 0.15,
|
| 1730 |
+
"completions/max_length": 470.0,
|
| 1731 |
+
"completions/max_terminated_length": 383.0,
|
| 1732 |
+
"completions/mean_length": 306.15,
|
| 1733 |
+
"completions/mean_terminated_length": 264.66666717529296,
|
| 1734 |
+
"completions/min_length": 170.8,
|
| 1735 |
+
"completions/min_terminated_length": 170.8,
|
| 1736 |
+
"entropy": 1.3437508165836334,
|
| 1737 |
+
"epoch": 1.8098159509202454,
|
| 1738 |
+
"frac_reward_zero_std": 0.0,
|
| 1739 |
+
"grad_norm": 5.014013290405273,
|
| 1740 |
+
"learning_rate": 4.907975460122699e-08,
|
| 1741 |
+
"loss": 0.1800641179084778,
|
| 1742 |
+
"num_tokens": 1008676.0,
|
| 1743 |
+
"reward": -0.14524998962879182,
|
| 1744 |
+
"reward_std": 0.19439554661512376,
|
| 1745 |
+
"rewards/format_reward/mean": 0.33249999284744264,
|
| 1746 |
+
"rewards/format_reward/std": 0.21220951080322265,
|
| 1747 |
+
"rewards/security_audit_reward/mean": -0.35,
|
| 1748 |
+
"rewards/security_audit_reward/std": 0.2154700517654419,
|
| 1749 |
+
"step": 295,
|
| 1750 |
+
"step_time": 35.92737517459973
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"clip_ratio/high_max": 0.0,
|
| 1754 |
+
"clip_ratio/high_mean": 0.0,
|
| 1755 |
+
"clip_ratio/low_mean": 0.0,
|
| 1756 |
+
"clip_ratio/low_min": 0.0,
|
| 1757 |
+
"clip_ratio/region_mean": 0.0,
|
| 1758 |
+
"completions/clipped_ratio": 0.3,
|
| 1759 |
+
"completions/max_length": 471.6,
|
| 1760 |
+
"completions/max_terminated_length": 299.6,
|
| 1761 |
+
"completions/mean_length": 360.45,
|
| 1762 |
+
"completions/mean_terminated_length": 234.9166687011719,
|
| 1763 |
+
"completions/min_length": 229.0,
|
| 1764 |
+
"completions/min_terminated_length": 126.6,
|
| 1765 |
+
"entropy": 1.1840724140405654,
|
| 1766 |
+
"epoch": 1.8404907975460123,
|
| 1767 |
+
"frac_reward_zero_std": 0.1,
|
| 1768 |
+
"grad_norm": 2.570652484893799,
|
| 1769 |
+
"learning_rate": 4.1411042944785274e-08,
|
| 1770 |
+
"loss": 0.019638296961784363,
|
| 1771 |
+
"num_tokens": 1025285.0,
|
| 1772 |
+
"reward": -0.06699999049305916,
|
| 1773 |
+
"reward_std": 0.2400740846991539,
|
| 1774 |
+
"rewards/format_reward/mean": 0.3600000023841858,
|
| 1775 |
+
"rewards/format_reward/std": 0.1531308189034462,
|
| 1776 |
+
"rewards/security_audit_reward/mean": -0.25,
|
| 1777 |
+
"rewards/security_audit_reward/std": 0.2868344783782959,
|
| 1778 |
+
"step": 300,
|
| 1779 |
+
"step_time": 35.41554451999982
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"clip_ratio/high_max": 0.0,
|
| 1783 |
+
"clip_ratio/high_mean": 0.0,
|
| 1784 |
+
"clip_ratio/low_mean": 0.0,
|
| 1785 |
+
"clip_ratio/low_min": 0.0,
|
| 1786 |
+
"clip_ratio/region_mean": 0.0,
|
| 1787 |
+
"completions/clipped_ratio": 0.3,
|
| 1788 |
+
"completions/max_length": 491.0,
|
| 1789 |
+
"completions/max_terminated_length": 357.4,
|
| 1790 |
+
"completions/mean_length": 330.65,
|
| 1791 |
+
"completions/mean_terminated_length": 249.31666870117186,
|
| 1792 |
+
"completions/min_length": 125.0,
|
| 1793 |
+
"completions/min_terminated_length": 125.0,
|
| 1794 |
+
"entropy": 1.2406673014163971,
|
| 1795 |
+
"epoch": 1.871165644171779,
|
| 1796 |
+
"frac_reward_zero_std": 0.0,
|
| 1797 |
+
"grad_norm": 4.481863975524902,
|
| 1798 |
+
"learning_rate": 3.3742331288343556e-08,
|
| 1799 |
+
"loss": 0.2060640573501587,
|
| 1800 |
+
"num_tokens": 1041362.0,
|
| 1801 |
+
"reward": -0.005999994277954101,
|
| 1802 |
+
"reward_std": 0.23084985613822936,
|
| 1803 |
+
"rewards/format_reward/mean": 0.4000000059604645,
|
| 1804 |
+
"rewards/format_reward/std": 0.12440616972744464,
|
| 1805 |
+
"rewards/security_audit_reward/mean": -0.1800000011920929,
|
| 1806 |
+
"rewards/security_audit_reward/std": 0.2963721513748169,
|
| 1807 |
+
"step": 305,
|
| 1808 |
+
"step_time": 37.082924159199685
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"clip_ratio/high_max": 0.0,
|
| 1812 |
+
"clip_ratio/high_mean": 0.0,
|
| 1813 |
+
"clip_ratio/low_mean": 0.0,
|
| 1814 |
+
"clip_ratio/low_min": 0.0,
|
| 1815 |
+
"clip_ratio/region_mean": 0.0,
|
| 1816 |
+
"completions/clipped_ratio": 0.25,
|
| 1817 |
+
"completions/max_length": 440.8,
|
| 1818 |
+
"completions/max_terminated_length": 313.2,
|
| 1819 |
+
"completions/mean_length": 296.75,
|
| 1820 |
+
"completions/mean_terminated_length": 235.5666748046875,
|
| 1821 |
+
"completions/min_length": 162.4,
|
| 1822 |
+
"completions/min_terminated_length": 162.4,
|
| 1823 |
+
"entropy": 1.4028007209300994,
|
| 1824 |
+
"epoch": 1.9018404907975461,
|
| 1825 |
+
"frac_reward_zero_std": 0.1,
|
| 1826 |
+
"grad_norm": 3.5625224113464355,
|
| 1827 |
+
"learning_rate": 2.607361963190184e-08,
|
| 1828 |
+
"loss": -0.09365988969802856,
|
| 1829 |
+
"num_tokens": 1056493.0,
|
| 1830 |
+
"reward": -0.07374998778104783,
|
| 1831 |
+
"reward_std": 0.17730526700615884,
|
| 1832 |
+
"rewards/format_reward/mean": 0.3725000023841858,
|
| 1833 |
+
"rewards/format_reward/std": 0.1375160299241543,
|
| 1834 |
+
"rewards/security_audit_reward/mean": -0.26500000059604645,
|
| 1835 |
+
"rewards/security_audit_reward/std": 0.21745660305023193,
|
| 1836 |
+
"step": 310,
|
| 1837 |
+
"step_time": 32.90120237959964
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"clip_ratio/high_max": 0.0,
|
| 1841 |
+
"clip_ratio/high_mean": 0.0,
|
| 1842 |
+
"clip_ratio/low_mean": 0.0,
|
| 1843 |
+
"clip_ratio/low_min": 0.0,
|
| 1844 |
+
"clip_ratio/region_mean": 0.0,
|
| 1845 |
+
"completions/clipped_ratio": 0.35,
|
| 1846 |
+
"completions/max_length": 508.8,
|
| 1847 |
+
"completions/max_terminated_length": 354.0,
|
| 1848 |
+
"completions/mean_length": 356.8,
|
| 1849 |
+
"completions/mean_terminated_length": 257.8333343505859,
|
| 1850 |
+
"completions/min_length": 172.4,
|
| 1851 |
+
"completions/min_terminated_length": 172.4,
|
| 1852 |
+
"entropy": 1.2189550220966339,
|
| 1853 |
+
"epoch": 1.9325153374233128,
|
| 1854 |
+
"frac_reward_zero_std": 0.2,
|
| 1855 |
+
"grad_norm": 4.627664089202881,
|
| 1856 |
+
"learning_rate": 1.8404907975460124e-08,
|
| 1857 |
+
"loss": -0.043705222010612485,
|
| 1858 |
+
"num_tokens": 1073209.0,
|
| 1859 |
+
"reward": -0.10774998962879181,
|
| 1860 |
+
"reward_std": 0.1972955085337162,
|
| 1861 |
+
"rewards/format_reward/mean": 0.35250000059604647,
|
| 1862 |
+
"rewards/format_reward/std": 0.13575982302427292,
|
| 1863 |
+
"rewards/security_audit_reward/mean": -0.3050000011920929,
|
| 1864 |
+
"rewards/security_audit_reward/std": 0.25009607076644896,
|
| 1865 |
+
"step": 315,
|
| 1866 |
+
"step_time": 38.71515165839992
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"clip_ratio/high_max": 0.0,
|
| 1870 |
+
"clip_ratio/high_mean": 0.0,
|
| 1871 |
+
"clip_ratio/low_mean": 0.0,
|
| 1872 |
+
"clip_ratio/low_min": 0.0,
|
| 1873 |
+
"clip_ratio/region_mean": 0.0,
|
| 1874 |
+
"completions/clipped_ratio": 0.3,
|
| 1875 |
+
"completions/max_length": 512.0,
|
| 1876 |
+
"completions/max_terminated_length": 394.2,
|
| 1877 |
+
"completions/mean_length": 341.55,
|
| 1878 |
+
"completions/mean_terminated_length": 271.6666717529297,
|
| 1879 |
+
"completions/min_length": 180.4,
|
| 1880 |
+
"completions/min_terminated_length": 180.4,
|
| 1881 |
+
"entropy": 1.1277358770370483,
|
| 1882 |
+
"epoch": 1.9631901840490797,
|
| 1883 |
+
"frac_reward_zero_std": 0.3,
|
| 1884 |
+
"grad_norm": 3.979893207550049,
|
| 1885 |
+
"learning_rate": 1.0736196319018405e-08,
|
| 1886 |
+
"loss": -0.07816079258918762,
|
| 1887 |
+
"num_tokens": 1089918.0,
|
| 1888 |
+
"reward": -0.08449999019503593,
|
| 1889 |
+
"reward_std": 0.14596682507544756,
|
| 1890 |
+
"rewards/format_reward/mean": 0.3949999988079071,
|
| 1891 |
+
"rewards/format_reward/std": 0.13996364884078502,
|
| 1892 |
+
"rewards/security_audit_reward/mean": -0.29000000059604647,
|
| 1893 |
+
"rewards/security_audit_reward/std": 0.17118052244186402,
|
| 1894 |
+
"step": 320,
|
| 1895 |
+
"step_time": 39.41049809280048
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"clip_ratio/high_max": 0.0,
|
| 1899 |
+
"clip_ratio/high_mean": 0.0,
|
| 1900 |
+
"clip_ratio/low_mean": 0.0,
|
| 1901 |
+
"clip_ratio/low_min": 0.0,
|
| 1902 |
+
"clip_ratio/region_mean": 0.0,
|
| 1903 |
+
"completions/clipped_ratio": 0.15,
|
| 1904 |
+
"completions/max_length": 488.4,
|
| 1905 |
+
"completions/max_terminated_length": 420.6,
|
| 1906 |
+
"completions/mean_length": 319.75,
|
| 1907 |
+
"completions/mean_terminated_length": 284.56667175292966,
|
| 1908 |
+
"completions/min_length": 199.2,
|
| 1909 |
+
"completions/min_terminated_length": 199.2,
|
| 1910 |
+
"entropy": 1.3403348803520203,
|
| 1911 |
+
"epoch": 1.9938650306748467,
|
| 1912 |
+
"frac_reward_zero_std": 0.2,
|
| 1913 |
+
"grad_norm": 3.1303930282592773,
|
| 1914 |
+
"learning_rate": 3.067484662576687e-09,
|
| 1915 |
+
"loss": -0.08682631254196167,
|
| 1916 |
+
"num_tokens": 1105841.0,
|
| 1917 |
+
"reward": -0.05374999940395355,
|
| 1918 |
+
"reward_std": 0.21490582572296263,
|
| 1919 |
+
"rewards/format_reward/mean": 0.2875,
|
| 1920 |
+
"rewards/format_reward/std": 0.19336618185043336,
|
| 1921 |
+
"rewards/security_audit_reward/mean": -0.2,
|
| 1922 |
+
"rewards/security_audit_reward/std": 0.22739237546920776,
|
| 1923 |
+
"step": 325,
|
| 1924 |
+
"step_time": 37.026589032400445
|
| 1925 |
+
}
|
| 1926 |
+
],
|
| 1927 |
+
"logging_steps": 5,
|
| 1928 |
+
"max_steps": 326,
|
| 1929 |
+
"num_input_tokens_seen": 1108991,
|
| 1930 |
+
"num_train_epochs": 2,
|
| 1931 |
+
"save_steps": 50,
|
| 1932 |
+
"stateful_callbacks": {
|
| 1933 |
+
"TrainerControl": {
|
| 1934 |
+
"args": {
|
| 1935 |
+
"should_epoch_stop": false,
|
| 1936 |
+
"should_evaluate": false,
|
| 1937 |
+
"should_log": false,
|
| 1938 |
+
"should_save": true,
|
| 1939 |
+
"should_training_stop": true
|
| 1940 |
+
},
|
| 1941 |
+
"attributes": {}
|
| 1942 |
+
}
|
| 1943 |
+
},
|
| 1944 |
+
"total_flos": 0.0,
|
| 1945 |
+
"train_batch_size": 2,
|
| 1946 |
+
"trial_name": null,
|
| 1947 |
+
"trial_params": null
|
| 1948 |
+
}
|
checkpoint-326/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b51f3856815802830b7add9e23ddd089207e5c9941078dd606f120af0f983d09
|
| 3 |
+
size 6776
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1976163472
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c64421ad1b2b08b8f84687a636657a68a9f6c9ef639c6c2dc449cb93d2c4219
|
| 3 |
size 1976163472
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b51f3856815802830b7add9e23ddd089207e5c9941078dd606f120af0f983d09
|
| 3 |
+
size 6776
|