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Publish ModernBERT driving command parser

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LICENSE CHANGED
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+ RESEARCH-ONLY MODEL DISTRIBUTION AND UPSTREAM LICENSE NOTICE
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+
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+ Model: ModernBERT Drive Command Parser
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+
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+ 1. Scope
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+
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+ This model artifact is made available free of charge only for non-commercial
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+ academic or scientific research, teaching, scientific publication, and
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+ personal experimentation. Distribution and use are subject to all applicable
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+ upstream licenses listed in NOTICE and included under licenses/.
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+
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+ 2. Restrictions inherited from SimLingo
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+
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+ This model was trained or refined using language data derived from SimLingo.
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+ It must not be used for commercial purposes. It must not be used or deployed
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+ in the operation of a vehicle or robot, to assist such operation, or for any
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+ high-risk purpose that may risk property damage, personal injury, or death.
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+ Publication or redistribution must be academic or scientific and free of
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+ charge. The complete SimLingo terms in licenses/SIMLINGO-NON-COMMERCIAL.txt
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+ control in the event of any inconsistency with this summary.
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+
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+ 3. Restrictions inherited from Talk2Car
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+
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+ Talk2Car dataset content and its extensions are licensed under Creative
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+ Commons Attribution-NonCommercial-ShareAlike 4.0 International. Use and
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+ redistribution must remain non-commercial, provide attribution, identify
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+ changes where required, and comply with the ShareAlike condition. The complete
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+ terms in licenses/TALK2CAR-CC-BY-NC-SA-4.0.txt control in the event of any
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+ inconsistency with this summary.
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+
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+ 4. No safety certification
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+
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+ The model produces a structured language interpretation only. It is not a
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+ driving policy, controller, safety component, or certified automotive system.
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+ Its output must not be converted directly into steering, throttle, or braking
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+ commands.
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+
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+ 5. No warranty
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+
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+ The model is provided as-is, without warranties of accuracy, reliability,
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+ merchantability, fitness for a particular purpose, or non-infringement, to the
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+ maximum extent permitted by applicable law and the upstream licenses.
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+
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+ 6. Upstream terms
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+
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+ Obtaining or using this artifact does not grant rights beyond those permitted
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+ by the upstream ModernBERT, SimLingo, and Talk2Car licenses. Users are
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+ responsible for reviewing and complying with each complete license before
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+ downloading, redistributing, or using the model.
LICENSE_CHECKSUMS ADDED
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+ 070afdfea3bf663033fc50ad5b9cd302ea152839541d6099c63abcec979a2412 LICENSE
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+ de1b979b6cd7887ab33a1e7967f3632c66aeff17ccdf43009b873ffe7dda4d98 NOTICE
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+ 3d6b4a01953a8cc1566a9b6b580a44d06e628b521ca1b02c10d4fcf5563b715e README.md
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+ cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30 licenses/MODERNBERT-APACHE-2.0.txt
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+ 68757a40ab1ea0bb9723f3473694d4c2c85e2db73996e558a601ae4e65a082ff licenses/SIMLINGO-NON-COMMERCIAL.txt
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+ d256c8b3941ef17b9cd763d2a5113bbe887c6bec3d5250c5681fbbc3eb04ea15 licenses/TALK2CAR-CC-BY-NC-SA-4.0.txt
NOTICE ADDED
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+ UPSTREAM ATTRIBUTION NOTICE
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+
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+ ModernBERT
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+ - Base model: answerdotai/ModernBERT-base
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+ - License: Apache License 2.0
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+ - Source: https://huggingface.co/answerdotai/ModernBERT-base
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+
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+ SimLingo
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+ - Source: https://github.com/RenzKa/simlingo
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+ - License: SimLingo Dataset Licence Agreement for Non-Commercial Use
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+ - Required attribution:
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+ "This work was made using the SimLingo dataset, provided by Wayve Technologies Ltd under licence terms available at https://github.com/RenzKa/simlingo"
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+
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+ Talk2Car
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+ - Source: https://github.com/talk2car/Talk2Car
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+ - Dataset license: Creative Commons Attribution-NonCommercial-ShareAlike 4.0
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+ International (CC BY-NC-SA 4.0).
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+ - The project README separately describes its software as MIT and asks users
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+ seeking commercial licensing to contact the authors; this model used the
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+ dataset text, so the dataset license is the relevant restriction.
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+ - Citation:
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+ Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, and
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+ Marie-Francine Moens. Talk2Car: Taking Control of Your Self-Driving Car.
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+ EMNLP-IJCNLP 2019.
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+
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+ This notice does not replace the complete upstream license texts stored in
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+ licenses/.
README.md CHANGED
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  ---
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  license: other
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- license_name: research-only-non-commercial
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- license_link: LICENSE
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: other
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+ base_model: answerdotai/ModernBERT-base
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+ library_name: transformers
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+ pipeline_tag: text-classification
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+ language:
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+ - en
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+ tags:
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+ - modernbert
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+ - autonomous-driving
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+ - structured-output
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+ - research-only
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  ---
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+
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+ # ModernBERT Drive Command Parser
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+
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+ > 仅限非商业学术、科研、教学和个人实验,必须免费提供;不得用于车辆或机器人运行,也不得用于可能造成人身伤害或财产损失的高风险用途。完整约束见 `LICENSE`、`NOTICE` 和 `licenses/` 中的上游许可。
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+
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+ 该目录是英文驾驶指令解析的最终运行时权重,默认部署路径为:
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+
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+ ```text
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+ /root/autodl-tmp/models/modernbert-drive-command-base
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+ ```
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+
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+ ## 训练配置
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+
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+ - Backbone:ModernBERT-base
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+ - 硬件:RTX 5090,BF16,CUDA/SM120
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+ - 任务:动作、状态、类别、紧急度、方向、速度变化六头多任务分类
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+ - 语料:662,700条英文伪标签,按规范化文本分组切分为70%/20%/10%
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+ - 训练:第一阶段1 epoch,学习率3e-5;第二阶段1 epoch,学习率1e-5
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+ - 校准:仅使用132,540条验证集逐类选择动作和方向阈值
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+
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+ ## 最终结果
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+
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+ 66,270条独立测试集上:
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+
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+ | 指标 | 结果 |
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+ |---|---:|
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+ | 动作exact match | 98.70% |
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+ | 动作micro-F1 | 97.78% |
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+ | 状态准确率 | 99.39% |
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+ | 类别准确率 | 99.15% |
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+ | 紧急度准确率 | 99.91% |
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+ | 方向exact match | 99.75% |
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+ | 速度变化准确率 | 99.82% |
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+
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+ 1,000条端到端解析中,动作exact match为99.30%,P95解析时延为12.97ms。所有准确率均是对伪标签教师的一致率,不是人工金标准或真实道路准确率。
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+
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+ ## 文件
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+
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+ - `model.safetensors`:ModernBERT backbone权重
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+ - `multitask_heads.pt`:六个任务头权重
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+ - `inference_config.json`:验证集校准阈值及校准前后指标
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+ - `label_schema.json`:六类输出标签顺序
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+ - `training_summary.json`:第二阶段训练配置和验证结果
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+ - `test_metrics_calibrated.json`:最终独立测试结果
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+ - `LICENSE`:本模型的研究用途分发条件
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+ - `NOTICE`:上游模型、数据集归属与强制署名
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+ - `licenses/`:ModernBERT、SimLingo 和 Talk2Car 的完整许可副本
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+
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+ ## 许可与用途限制
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+
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+ 本模型基于 Apache-2.0 的 `answerdotai/ModernBERT-base`,并使用 Talk2Car 与 SimLingo 文本生成训练标签。Talk2Car 数据采用 CC BY-NC-SA 4.0,SimLingo 采用自定义非商业许可,因此本仓库在 Hugging Face 上必须标记为 `license: other`,不能把整个微调模型重新声明为 Apache-2.0 或 MIT。
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+
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+ 模型可以在学术或科研基础上免费发布,但不得用于商业用途、真实或模拟车辆/机器人运行,以及其他高风险用途。任何使用者都必须自行阅读并遵守上游许可;本模型不构成自动驾驶安全认证。
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+
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+ ## 运行
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+
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+ ```python
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+ from structured_command_parser.src.modernbert_parser import ModernBertEnglishIntentParser
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+
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+ parser = ModernBertEnglishIntentParser(
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+ "/root/autodl-tmp/models/modernbert-drive-command-base",
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+ device="cuda",
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+ )
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+ parser.warmup()
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+ document = parser.parse("Slow down and stop before the red truck.")
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+ ```
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+
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+ 实验链路必须在接受请求前调用`warmup()`,并保留规则短路与下游安全校验。
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+ {
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+ "architectures": [
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+ "ModernBertModel"
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+ "attention_bias": false,
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+ "bos_token_id": 50281,
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+ "classifier_activation": "gelu",
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+ "global_attn_every_n_layers": 3,
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+ "hidden_activation": "gelu",
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+ "hidden_size": 768,
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+ "initializer_cutoff_factor": 2.0,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 1152,
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+ "layer_norm_eps": 1e-05,
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+ "local_attention": 128,
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+ "local_rope_theta": 10000.0,
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+ "max_position_embeddings": 8192,
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+ "mlp_bias": false,
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+ "mlp_dropout": 0.0,
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+ "model_type": "modernbert",
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+ "norm_bias": false,
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+ "norm_eps": 1e-05,
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 22,
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+ "position_embedding_type": "absolute",
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+ "repad_logits_with_grad": false,
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+ "sep_token_id": 50282,
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+ "sparse_pred_ignore_index": -100,
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+ "sparse_prediction": false,
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+ "transformers_version": "4.57.6",
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+ "vocab_size": 50368
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+ }
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+ {
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+ "schema": "modernbert-driving-thresholds-v1",
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+ "calibration_dataset": "/root/autodl-tmp/LMM-in-AutoDrive/structured_command_parser/data/processed/english_pseudolabels/validation.jsonl",
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+ "calibration_rows": 132540,
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+ "action_thresholds": {
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+ "KEEP_LANE": 0.5,
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+ "SET_SPEED": 0.95,
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+ "ADJUST_SPEED": 0.8,
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+ "STOP": 0.85,
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+ "WAIT": 0.65,
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+ "FOLLOW": 0.8,
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+ "APPROACH": 0.7,
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+ "NAVIGATE_TO": 0.8,
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+ "CHANGE_LANE": 0.65,
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+ "MERGE": 0.7,
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+ "TURN": 0.9,
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+ "U_TURN": 0.5,
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+ "PROCEED": 0.95,
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+ "YIELD": 0.45,
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+ "PULL_OVER": 0.75,
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+ "PARK": 0.9,
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+ "OVERTAKE": 0.85,
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+ "PASS_BY": 0.95,
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+ "AVOID": 0.85,
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+ "REVERSE": 0.95,
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+ "ENTER_AREA": 0.95,
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+ "EXIT_AREA": 0.95,
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+ "EMERGENCY_BRAKE": 0.95,
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+ "RESUME": 0.5,
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+ "CANCEL": 0.5
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+ },
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+ "direction_thresholds": {
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+ "LEFT": 0.8,
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+ "RIGHT": 0.8,
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+ "STRAIGHT": 0.7,
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+ "BACKWARD": 0.95
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+ },
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+ "before": {
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+ "actions": {
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+ "exact_match": 0.9829636216163635,
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+ "micro_precision": 0.9356169331077613,
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+ "micro_recall": 0.9870056950348921,
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+ "micro_f1": 0.9606245425713588
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+ },
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+ "directions": {
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+ "exact_match": 0.9966274499893188,
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+ "micro_precision": 0.9812835876212243,
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+ "micro_recall": 0.9892888279985054,
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+ "micro_f1": 0.985269947592024
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+ "after": {
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+ "micro_precision": 0.9864494240497329,
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+ "micro_recall": 0.9736905430336087,
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+ "micro_f1": 0.9800284586894874
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+ },
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+ "directions": {
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+ "exact_match": 0.9974271655082703,
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+ "micro_precision": 0.996396282480875,
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+ "micro_recall": 0.9814422717648524,
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+ "micro_f1": 0.9888627450980392
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+ }
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+ }
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+ }
label_schema.json ADDED
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+ {
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+ "actions": [
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+ "KEEP_LANE",
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+ "SET_SPEED",
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+ "ADJUST_SPEED",
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+ "STOP",
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+ "WAIT",
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+ "FOLLOW",
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+ "APPROACH",
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+ "NAVIGATE_TO",
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+ "CHANGE_LANE",
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+ "MERGE",
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+ "TURN",
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+ "U_TURN",
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+ "PROCEED",
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+ "YIELD",
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+ "PULL_OVER",
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+ "PARK",
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+ "OVERTAKE",
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+ "PASS_BY",
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+ "AVOID",
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+ "REVERSE",
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+ "ENTER_AREA",
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+ "EXIT_AREA",
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+ "EMERGENCY_BRAKE",
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+ "RESUME",
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+ "CANCEL"
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+ ],
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+ "statuses": [
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+ "VALID",
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+ "NEEDS_CLARIFICATION",
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+ "UNSUPPORTED"
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+ ],
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+ "categories": [
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+ "BASIC_CONTROL",
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+ "NAVIGATION",
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+ "COMPLEX_OBSTACLE_AVOIDANCE",
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+ "EMERGENCY_RESPONSE",
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+ "META_CONTROL"
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+ ],
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+ "urgencies": [
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+ "NORMAL",
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+ "URGENT",
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+ "EMERGENCY"
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+ ],
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+ "directions": [
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+ "LEFT",
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+ "RIGHT",
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+ "STRAIGHT",
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+ "BACKWARD"
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+ ],
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+ "changes": [
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+ "NONE",
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+ "INCREASE",
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+ "DECREASE"
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+ ]
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+ }
licenses/MODERNBERT-APACHE-2.0.txt ADDED
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+
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+ Apache License
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+ Version 2.0, January 2004
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+ http://www.apache.org/licenses/
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licenses/SIMLINGO-NON-COMMERCIAL.txt ADDED
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licenses/TALK2CAR-CC-BY-NC-SA-4.0.txt ADDED
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+ "EMERGENCY_BRAKE",
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+ "RESUME",
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+ ],
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+ "VALID",
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+ "NEEDS_CLARIFICATION",
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+ "UNSUPPORTED"
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+ ],
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+ "categories": [
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+ "BASIC_CONTROL",
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+ "NAVIGATION",
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+ "COMPLEX_OBSTACLE_AVOIDANCE",
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+ "EMERGENCY_RESPONSE",
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+ "META_CONTROL"
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+ ],
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+ "urgencies": [
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+ "NORMAL",
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+ "URGENT",
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+ "EMERGENCY"
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+ ],
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+ "directions": [
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+ "LEFT",
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+ "RIGHT",
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+ "STRAIGHT",
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+ "BACKWARD"
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+ ],
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+ "changes": [
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+ "NONE",
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+ "INCREASE",
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+ "DECREASE"
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+ },
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+ "history": [
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+ }
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+ ],
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+ "metric_scope": "PSEUDO_LABEL_TEACHER_AGREEMENT_NOT_HUMAN_GOLD_ACCURACY"
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+ }