Feature Extraction
Transformers
Safetensors
English
modernbert
autonomous-driving
structured-output
compositional-semantics
research-only
text-embeddings-inference
Instructions to use UNIC0RN-Zhu/modernbert-drive-command-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UNIC0RN-Zhu/modernbert-drive-command-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="UNIC0RN-Zhu/modernbert-drive-command-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("UNIC0RN-Zhu/modernbert-drive-command-base") model = AutoModel.from_pretrained("UNIC0RN-Zhu/modernbert-drive-command-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Publish ModernBERT driving command parser
Browse files- LICENSE +49 -0
- LICENSE_CHECKSUMS +6 -0
- NOTICE +27 -0
- README.md +78 -2
- SHA256SUMS +6 -0
- config.json +45 -0
- inference_config.json +66 -0
- label_schema.json +57 -0
- licenses/MODERNBERT-APACHE-2.0.txt +202 -0
- licenses/SIMLINGO-NON-COMMERCIAL.txt +72 -0
- licenses/TALK2CAR-CC-BY-NC-SA-4.0.txt +439 -0
- model.safetensors +3 -0
- multitask_heads.pt +3 -0
- special_tokens_map.json +37 -0
- test_metrics_calibrated.json +18 -0
- tokenizer.json +0 -0
- tokenizer_config.json +945 -0
- training_summary.json +88 -0
LICENSE
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RESEARCH-ONLY MODEL DISTRIBUTION AND UPSTREAM LICENSE NOTICE
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Model: ModernBERT Drive Command Parser
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1. Scope
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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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2. Restrictions inherited from SimLingo
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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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3. Restrictions inherited from Talk2Car
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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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4. No safety certification
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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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5. No warranty
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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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6. Upstream terms
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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.
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LICENSE_CHECKSUMS
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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
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NOTICE
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UPSTREAM ATTRIBUTION NOTICE
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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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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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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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This notice does not replace the complete upstream license texts stored in
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licenses/.
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README.md
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---
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license: other
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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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# ModernBERT Drive Command Parser
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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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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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```text
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/root/autodl-tmp/models/modernbert-drive-command-base
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```
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## 训练配置
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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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## 最终结果
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66,270条独立测试集上:
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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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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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## 文件
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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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## 许可与用途限制
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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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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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## 运行
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```python
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from structured_command_parser.src.modernbert_parser import ModernBertEnglishIntentParser
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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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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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55b0683be1d75355a69720bc30b900e171579f7f1fe345c710dd05e14d5d7af9 model.safetensors
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fca6481f3afcf0cd3a9d9d99952655556c443e7ab3178706e77014c17e4cba8d multitask_heads.pt
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a28a731c5ce92c719837ef11d8be440abd7ae73bd84d6a6b4a633e3e84cc0946 config.json
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c93a901ebe31ede9df8e8a5f5a355455eb9826c6eeba6aa54b8414526fcf5625 label_schema.json
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8a396c0ca3e5db082e4cbd5b48e40a344a335a78273f295b944005c6ee9dce48 inference_config.json
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6c8aaa9a542084f2457eab775d4eeb51f92a70c0fd9de28d5edb0ddec3c08d30 tokenizer.json
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config.json
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{
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"architectures": [
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"ModernBertModel"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 50281,
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"classifier_activation": "gelu",
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"classifier_bias": false,
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"classifier_dropout": 0.0,
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"classifier_pooling": "mean",
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| 12 |
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"cls_token_id": 50281,
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| 13 |
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"decoder_bias": true,
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"deterministic_flash_attn": false,
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"dtype": "bfloat16",
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| 16 |
+
"embedding_dropout": 0.0,
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| 17 |
+
"eos_token_id": 50282,
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| 18 |
+
"global_attn_every_n_layers": 3,
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| 19 |
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"global_rope_theta": 160000.0,
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| 20 |
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"gradient_checkpointing": false,
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| 21 |
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"hidden_activation": "gelu",
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| 22 |
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"hidden_size": 768,
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| 23 |
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"initializer_cutoff_factor": 2.0,
|
| 24 |
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"initializer_range": 0.02,
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| 25 |
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"intermediate_size": 1152,
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| 26 |
+
"layer_norm_eps": 1e-05,
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| 27 |
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"local_attention": 128,
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| 28 |
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"local_rope_theta": 10000.0,
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| 29 |
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"max_position_embeddings": 8192,
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| 30 |
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"mlp_bias": false,
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| 31 |
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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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| 36 |
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"num_hidden_layers": 22,
|
| 37 |
+
"pad_token_id": 50283,
|
| 38 |
+
"position_embedding_type": "absolute",
|
| 39 |
+
"repad_logits_with_grad": false,
|
| 40 |
+
"sep_token_id": 50282,
|
| 41 |
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"sparse_pred_ignore_index": -100,
|
| 42 |
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"sparse_prediction": false,
|
| 43 |
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"transformers_version": "4.57.6",
|
| 44 |
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"vocab_size": 50368
|
| 45 |
+
}
|
inference_config.json
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"schema": "modernbert-driving-thresholds-v1",
|
| 3 |
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"calibration_dataset": "/root/autodl-tmp/LMM-in-AutoDrive/structured_command_parser/data/processed/english_pseudolabels/validation.jsonl",
|
| 4 |
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"calibration_rows": 132540,
|
| 5 |
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"action_thresholds": {
|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 23 |
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| 25 |
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| 26 |
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|
| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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"CANCEL": 0.5
|
| 31 |
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},
|
| 32 |
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"direction_thresholds": {
|
| 33 |
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"LEFT": 0.8,
|
| 34 |
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"RIGHT": 0.8,
|
| 35 |
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"STRAIGHT": 0.7,
|
| 36 |
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"BACKWARD": 0.95
|
| 37 |
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},
|
| 38 |
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"before": {
|
| 39 |
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"actions": {
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| 40 |
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|
| 41 |
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"micro_recall": 0.9870056950348921,
|
| 43 |
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"micro_f1": 0.9606245425713588
|
| 44 |
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},
|
| 45 |
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"directions": {
|
| 46 |
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"exact_match": 0.9966274499893188,
|
| 47 |
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"micro_precision": 0.9812835876212243,
|
| 48 |
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"micro_recall": 0.9892888279985054,
|
| 49 |
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"micro_f1": 0.985269947592024
|
| 50 |
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}
|
| 51 |
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|
| 52 |
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"after": {
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| 53 |
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"actions": {
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| 54 |
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|
| 55 |
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"micro_precision": 0.9864494240497329,
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| 56 |
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"micro_recall": 0.9736905430336087,
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| 57 |
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"micro_f1": 0.9800284586894874
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| 58 |
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| 59 |
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"directions": {
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| 60 |
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"exact_match": 0.9974271655082703,
|
| 61 |
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"micro_precision": 0.996396282480875,
|
| 62 |
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"micro_recall": 0.9814422717648524,
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| 63 |
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"micro_f1": 0.9888627450980392
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| 64 |
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|
| 65 |
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|
| 66 |
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|
label_schema.json
ADDED
|
@@ -0,0 +1,57 @@
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"actions": [
|
| 3 |
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"KEEP_LANE",
|
| 4 |
+
"SET_SPEED",
|
| 5 |
+
"ADJUST_SPEED",
|
| 6 |
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"STOP",
|
| 7 |
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"WAIT",
|
| 8 |
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"FOLLOW",
|
| 9 |
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"APPROACH",
|
| 10 |
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"NAVIGATE_TO",
|
| 11 |
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"CHANGE_LANE",
|
| 12 |
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"MERGE",
|
| 13 |
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"TURN",
|
| 14 |
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"U_TURN",
|
| 15 |
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"PROCEED",
|
| 16 |
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"YIELD",
|
| 17 |
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"PULL_OVER",
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| 18 |
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"PARK",
|
| 19 |
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"OVERTAKE",
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| 20 |
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"PASS_BY",
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| 21 |
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"AVOID",
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| 22 |
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"REVERSE",
|
| 23 |
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"ENTER_AREA",
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| 24 |
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"EXIT_AREA",
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| 25 |
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"EMERGENCY_BRAKE",
|
| 26 |
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"RESUME",
|
| 27 |
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|
| 28 |
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],
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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],
|
| 34 |
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"categories": [
|
| 35 |
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"BASIC_CONTROL",
|
| 36 |
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"NAVIGATION",
|
| 37 |
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"COMPLEX_OBSTACLE_AVOIDANCE",
|
| 38 |
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"EMERGENCY_RESPONSE",
|
| 39 |
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"META_CONTROL"
|
| 40 |
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],
|
| 41 |
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"urgencies": [
|
| 42 |
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"NORMAL",
|
| 43 |
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"URGENT",
|
| 44 |
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"EMERGENCY"
|
| 45 |
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],
|
| 46 |
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"directions": [
|
| 47 |
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"LEFT",
|
| 48 |
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"RIGHT",
|
| 49 |
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"STRAIGHT",
|
| 50 |
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|
| 51 |
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],
|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
licenses/MODERNBERT-APACHE-2.0.txt
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
| 1 |
+
|
| 2 |
+
Apache License
|
| 3 |
+
Version 2.0, January 2004
|
| 4 |
+
http://www.apache.org/licenses/
|
| 5 |
+
|
| 6 |
+
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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licenses/SIMLINGO-NON-COMMERCIAL.txt
ADDED
|
@@ -0,0 +1,72 @@
|
|
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|
|
|
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|
|
|
| 1 |
+
SimLingo Dataset Licence Agreement for Non-Commercial Use (January 2025)
|
| 2 |
+
|
| 3 |
+
The Dataset (as defined below) is being made available by Wayve Technologies Ltd, a company incorporated in England and Wales with company number 10924127 (“Wayve”) to you (“You”) under the terms and conditions below.
|
| 4 |
+
|
| 5 |
+
By downloading or using the Dataset, You acknowledge that You have read these terms and conditions (“Terms"), understand them, and agree to be bound by the Terms. If Your institution or another entity exercises the rights granted under these Terms by virtue of Your download or use of the Dataset, You represent and warrant that: (a) You are authorised to agree to these Terms on behalf of the institution or other entity; or (b) You have confirmed that a person with authority to agree to these Terms on behalf of the institution or other entity has already so agreed on behalf of the institution or other entity. If You do not agree with the Terms or cannot warrant the above, You must not download and/or use the Dataset.
|
| 6 |
+
|
| 7 |
+
In these Terms, the following expressions shall have the following meanings:
|
| 8 |
+
|
| 9 |
+
“Dataset" means Wayve’s SimLingo open dataset available at https://github.com/RenzKa/simlingo which has been developed and is owned by Wayve. Unless stated otherwise, it also means any computer code (whether in source or object code form) or other materials that may be made available by Wayve from time to time in conjunction with the dataset for the purposes of enabling You to develop techniques for data simulation.
|
| 10 |
+
|
| 11 |
+
“Derivative IP" means any derivative work of the Dataset, any other work made or developed using the Dataset, and any invention conceived or reduced to practice, directly or indirectly, through the use of the Dataset.
|
| 12 |
+
|
| 13 |
+
“Intellectual Property Rights” means patents, rights in inventions, copyright and neighbouring and related rights, rights to use and protect the confidentiality of confidential information (including, but not limited to know-how and trade secrets), trade marks, goodwill, service marks, trade names, design rights, rights in get-up and trade dress, database rights, utility models, domain names, business names, rights in computer software, the right to sue for infringement, unfair competition and passing off, all similar rights of whatever nature wherever in the world arising, in each case, whether registered or not.
|
| 14 |
+
|
| 15 |
+
“Non-Commercial Use" means use for academic or scientific research, teaching, scientific publication relating to academic or applied research, or personal experimentation. Non-Commercial Use expressly excludes purposes intended for or directed towards commercial advantage or monetary compensation, whether directly or indirectly through sales, advertising revenue, subscriptions, through promoting commercial activities or developing or providing goods or services.
|
| 16 |
+
|
| 17 |
+
“Wayve" means Wayve Technologies Ltd, together with any and all of its affiliates from time to time.
|
| 18 |
+
|
| 19 |
+
“You" means the individual, institution or other entity exercising the rights granted under these Terms.
|
| 20 |
+
|
| 21 |
+
In consideration of Your agreement to and compliance with these Terms, Wayve grants to You a non-exclusive, non-transferrable, non-sublicensable, royalty-free, revocable, personal licence for the duration of these Terms to use the Dataset for Non-Commercial Use only, subject to the following conditions:
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
1. Ownership: Wayve retains all right, title, and interest in and to any Dataset provided to You under these Terms. Except as expressly set out in these Terms, no Intellectual Property Rights or other rights in the Dataset are granted, assigned or otherwise transferred to You under these Terms.
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
2. Attribution: You must provide the following attributions in any Derivative IP: “This work was made using the SimLingo dataset, provided by Wayve Technologies Ltd under licence terms available at https://github.com/RenzKa/simlingo”.
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
3. Feedback: If You give feedback, ideas or suggestions about the Dataset to Wayve or another person or entity acting on Wayve’s behalf (“Feedback”), You acknowledge and agree that Wayve has the unrestricted right to use, share and commercialise Your Feedback in any way and for any purpose, including for commercial purposes. This clause survives the termination or revocation of these Terms for whatever reason.
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
4. Compliance with law: You may not use the Dataset in any manner that violates applicable laws or regulations, including without limitation, applicable data protection laws.
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
5. Additional restrictions: You agree (a) not to distribute or publish or otherwise make available any models trained on or refined using the Dataset, or the parameters from such trained models, in whole or in part unless such model and/or its parameters are being distributed or published on an academic or scientific basis and free of charge; and (b) not to use or deploy the Dataset, any models trained on or refined using the Dataset, or the parameters from such trained models, in whole or in part, (i) in operation of a vehicle or robot or to assist in the operation of a vehicle or robot, or (ii) for any high-risk purpose, including without limitation any use that risks damage to property, personal injury or death.
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
6. Scope of licence: The scope of use of this licence is as defined in Non-Commercial Use above. The licence is granted on a worldwide basis. If You: (a) are concerned that Your intended use of the Dataset does not constitute Non-Commercial Use, or (b) would like to discuss a commercial licence, You must contact legal@wayve.ai and refrain from downloading or using the Dataset without Wayve’s prior written consent. Nothing in these Terms creates an obligation on Wayve to respond to such request or to grant you any commercial licence or other rights.
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
7. Limited non-assert: In consideration for access to this Dataset, You (also on behalf of Your successors and assignees of any rights protecting Your Derivative IP) (a) agree not to prepare, initiate, assert, or otherwise support any claim against Wayve or any of its affiliates, successors, or assignees, for infringement, misappropriation or other violation of any rights protecting Your Derivative IP, and (b) grant Wayve and the other parties in (a) above a worldwide and unrestricted licence to such rights, with such licence becoming effective only if You breach the obligations of (a).
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
8. Disclaimer and limitation of liability: You acknowledge and agree the Dataset is provided “as-is" and without any express or implied warranty, including without limitation warranties of accuracy, completeness, reliability, title, merchantability, fitness for a particular purpose, and non-infringement. To the fullest extent permitted by law, in no event shall Wayve or its affiliates, partners, licensors, customers, employees or contractors be liable under any legal theory with respect to the Dataset or any Derivative IP (or any use thereof), or for any direct, indirect, consequential, exemplary, incidental, punitive, or special damages, lost profits, wasted expenditure, harm to reputation or loss of goodwill and/or loss of business or data (regardless of whether such liability arises in tort, contract or in any other way and whether or not caused by negligence or misrepresentation).
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
9. Revocation of licence: The licence granted under these Terms may be revoked by Wayve in its sole discretion at any time by posting a notice of revocation on https://github.com/RenzKa/simlingo.
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
10. No updates: You understand and agree that Wayve is under no obligation to provide maintenance services, update services, notices of latent defects, or corrections of defects with regard to the Dataset. Wayve nevertheless reserves the right to update, modify, or discontinue the Dataset at any time.
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
11. Termination for breach: If You fail to comply with these Terms, then any rights granted to You hereunder terminate automatically and You agree to remove access to and delete the Dataset.
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
12. Indemnification: You shall fully indemnify and keep indemnified and hold Wayve harmless from and against any losses, claims, damages, liability, costs (including legal and other professional fees), fines and expenses incurred by Wayve as a result of or in connection with Your use of the Dataset or breach of these Terms.
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
13. Assignment: You may not assign these Terms or any rights or obligations hereunder, except with Wayve’s express written consent. Any attempted assignment in violation of this section will be void. Wayve may assign its rights and obligations hereunder without written notice to You.
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
14. No partnership or agency: Nothing in these Terms constitutes, or shall be deemed to constitute, a partnership between the parties nor make any party the agent of another party.
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
15. Severance: If any provision of these Terms (or part of any provision) is or becomes illegal, invalid or unenforceable but would be legal, valid and enforceable if some part of it was deleted or modified, the provision or part-provision in question shall apply with such deletions or modifications as may be necessary to make the provision legal, valid and enforceable.
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
16. Waiver: No failure, delay or omission by Wayve in exercising any right, power or remedy provided by law or under these Terms shall operate as a waiver of that right, power or remedy, nor shall it preclude or restrict any future exercise of that or any other right or remedy.
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
17. Governing law and jurisdiction: These Terms shall be governed by and construed in accordance with the laws of England. Any disputes arising from or in connection with these Terms shall be subject to the exclusive jurisdiction of the courts of England and Wales.
|
licenses/TALK2CAR-CC-BY-NC-SA-4.0.txt
ADDED
|
@@ -0,0 +1,439 @@
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1. If You Share the Licensed Material (including in modified
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| 1 |
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{
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| 2 |
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training_summary.json
ADDED
|
@@ -0,0 +1,88 @@
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
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|
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|
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|
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|
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|
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|
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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|
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| 39 |
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|
| 40 |
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| 41 |
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| 42 |
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|
| 50 |
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|
| 51 |
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"META_CONTROL"
|
| 52 |
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],
|
| 53 |
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"urgencies": [
|
| 54 |
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"NORMAL",
|
| 55 |
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"URGENT",
|
| 56 |
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"EMERGENCY"
|
| 57 |
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],
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| 58 |
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"directions": [
|
| 59 |
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"LEFT",
|
| 60 |
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"RIGHT",
|
| 61 |
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"STRAIGHT",
|
| 62 |
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"BACKWARD"
|
| 63 |
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],
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| 64 |
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"changes": [
|
| 65 |
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"NONE",
|
| 66 |
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"INCREASE",
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| 67 |
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"DECREASE"
|
| 68 |
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]
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| 69 |
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},
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| 70 |
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"history": [
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{
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"epoch": 1,
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| 83 |
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"train_loss": 0.03627125481040827,
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| 84 |
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"epoch_seconds": 385.1342375576496
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| 85 |
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}
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| 86 |
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],
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| 87 |
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"metric_scope": "PSEUDO_LABEL_TEACHER_AGREEMENT_NOT_HUMAN_GOLD_ACCURACY"
|
| 88 |
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}
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