Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +201 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- checkpoint-3500/README.md +202 -0
- checkpoint-3500/adapter_config.json +26 -0
- checkpoint-3500/adapter_model.safetensors +3 -0
- checkpoint-3500/optimizer.pt +3 -0
- checkpoint-3500/rng_state.pth +3 -0
- checkpoint-3500/scheduler.pt +3 -0
- checkpoint-3500/trainer_state.json +3043 -0
- checkpoint-3500/training_args.bin +3 -0
- git_hash.txt +1 -0
- preprocessor_config.json +40 -0
- results.json +1 -0
- special_tokens_map.json +39 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
- training_config.yml +41 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,201 @@
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---
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library_name: peft
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---
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# Model Card for Model ID
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+
<!-- Provide a quick summary of what the model is/does. -->
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8 |
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|
9 |
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## Model Details
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### Model Description
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+
<!-- Provide a longer summary of what this model is. -->
|
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+
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17 |
+
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18 |
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|
19 |
+
- **Developed by:** [More Information Needed]
|
20 |
+
- **Funded by [optional]:** [More Information Needed]
|
21 |
+
- **Shared by [optional]:** [More Information Needed]
|
22 |
+
- **Model type:** [More Information Needed]
|
23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
24 |
+
- **License:** [More Information Needed]
|
25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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+
|
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+
### Model Sources [optional]
|
28 |
+
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<!-- Provide the basic links for the model. -->
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30 |
+
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- **Repository:** [More Information Needed]
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+
- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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+
|
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+
## Uses
|
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+
|
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+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
38 |
+
|
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+
### Direct Use
|
40 |
+
|
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+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
42 |
+
|
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+
[More Information Needed]
|
44 |
+
|
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+
### Downstream Use [optional]
|
46 |
+
|
47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
48 |
+
|
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+
[More Information Needed]
|
50 |
+
|
51 |
+
### Out-of-Scope Use
|
52 |
+
|
53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
54 |
+
|
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+
[More Information Needed]
|
56 |
+
|
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+
## Bias, Risks, and Limitations
|
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+
|
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+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
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+
|
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+
[More Information Needed]
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+
|
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+
### Recommendations
|
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|
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+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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|
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## How to Get Started with the Model
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|
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Use the code below to get started with the model.
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[More Information Needed]
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|
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## Training Details
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|
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### Training Data
|
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<!-- 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. -->
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+
|
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[More Information Needed]
|
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+
|
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### Training Procedure
|
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+
|
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+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
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|
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#### Preprocessing [optional]
|
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|
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[More Information Needed]
|
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|
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|
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#### Training Hyperparameters
|
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|
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
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+
|
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#### Speeds, Sizes, Times [optional]
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+
|
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
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+
|
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[More Information Needed]
|
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+
|
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+
## Evaluation
|
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+
|
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+
<!-- This section describes the evaluation protocols and provides the results. -->
|
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+
|
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+
### Testing Data, Factors & Metrics
|
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+
|
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#### Testing Data
|
109 |
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|
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<!-- This should link to a Dataset Card if possible. -->
|
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|
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[More Information Needed]
|
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+
|
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+
#### Factors
|
115 |
+
|
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+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
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|
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[More Information Needed]
|
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+
|
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#### Metrics
|
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+
|
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+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
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|
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[More Information Needed]
|
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|
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### Results
|
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[More Information Needed]
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#### Summary
|
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## Model Examination [optional]
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|
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
|
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|
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## Environmental Impact
|
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+
|
142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
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|
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+
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).
|
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+
|
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+
- **Hardware Type:** [More Information Needed]
|
147 |
+
- **Hours used:** [More Information Needed]
|
148 |
+
- **Cloud Provider:** [More Information Needed]
|
149 |
+
- **Compute Region:** [More Information Needed]
|
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- **Carbon Emitted:** [More Information Needed]
|
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+
|
152 |
+
## Technical Specifications [optional]
|
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+
|
154 |
+
### Model Architecture and Objective
|
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|
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[More Information Needed]
|
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|
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### Compute Infrastructure
|
159 |
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|
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[More Information Needed]
|
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|
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#### Hardware
|
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|
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[More Information Needed]
|
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|
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#### Software
|
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|
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[More Information Needed]
|
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|
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## Citation [optional]
|
171 |
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|
172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
173 |
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|
174 |
+
**BibTeX:**
|
175 |
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|
176 |
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[More Information Needed]
|
177 |
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|
178 |
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**APA:**
|
179 |
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|
180 |
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[More Information Needed]
|
181 |
+
|
182 |
+
## Glossary [optional]
|
183 |
+
|
184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
185 |
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|
186 |
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[More Information Needed]
|
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|
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## More Information [optional]
|
189 |
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|
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[More Information Needed]
|
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|
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## Model Card Authors [optional]
|
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|
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[More Information Needed]
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|
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## Model Card Contact
|
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|
198 |
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[More Information Needed]
|
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### Framework versions
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- PEFT 0.11.1
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adapter_config.json
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{
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"alpha_pattern": {},
|
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"auto_mapping": null,
|
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"base_model_name_or_path": "./models/paligemma-3b-mix-448",
|
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"bias": "none",
|
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"fan_in_fan_out": false,
|
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"inference_mode": true,
|
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"init_lora_weights": "gaussian",
|
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"layer_replication": null,
|
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"layers_pattern": null,
|
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
|
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"modules_to_save": null,
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"peft_type": "LORA",
|
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"r": 32,
|
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"rank_pattern": {},
|
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"revision": null,
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"target_modules": "(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$)",
|
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"task_type": "FEATURE_EXTRACTION",
|
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"use_dora": false,
|
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"use_rslora": false
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}
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adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:b5d3e7367fbea22b45f4bf27fbf20ce8675b79f8ad8eb7512092c5b438b1ede2
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size 78485616
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checkpoint-3500/README.md
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---
|
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base_model: ./models/paligemma-3b-mix-448
|
3 |
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library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- 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. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
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).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
checkpoint-3500/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
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|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "./models/paligemma-3b-mix-448",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": "gaussian",
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 32,
|
14 |
+
"lora_dropout": 0.1,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": "(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$)",
|
23 |
+
"task_type": "FEATURE_EXTRACTION",
|
24 |
+
"use_dora": false,
|
25 |
+
"use_rslora": false
|
26 |
+
}
|
checkpoint-3500/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:82a19d82c629fbf347ba78c97926de17f8495dc1ae66f849e632d41a44e18ef8
|
3 |
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size 78485616
|
checkpoint-3500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:041b5fa7d34029fcbc078a99e13ce4f702ebab929a3e583f62c15779fbfd2ade
|
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size 157105466
|
checkpoint-3500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:95adfcc82f0d0385863355184448cf21447ac25cd25add14f26199dec8c1fc08
|
3 |
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size 14244
|
checkpoint-3500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:81131d95f053d9e7fed5bbc5ad1529f766bf1139862a226f3877ea7587ceb4cd
|
3 |
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size 1064
|
checkpoint-3500/trainer_state.json
ADDED
@@ -0,0 +1,3043 @@
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0.29765987340051087, "naucs_at_5_max": 0.3129526211493426, "naucs_at_5_std": -0.09102864348765899, "naucs_at_5_diff1": 0.15919654116375467, "naucs_at_10_max": 0.35921308833732496, "naucs_at_10_std": -0.20668740628007307, "naucs_at_10_diff1": 0.2815290615697954, "naucs_at_20_max": 0.3365734111686314, "naucs_at_20_std": -0.30763299922898824, "naucs_at_20_diff1": 0.367909461394427, "naucs_at_100_max": 0.3764005602240897, "naucs_at_100_std": -0.6464752567693711, "naucs_at_100_diff1": 0.576914098972922, "naucs_at_1000_max": NaN, "naucs_at_1000_std": NaN, "naucs_at_1000_diff1": NaN}}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,39 @@
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|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
{
|
4 |
+
"content": "<image>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
}
|
10 |
+
],
|
11 |
+
"bos_token": {
|
12 |
+
"content": "<bos>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false
|
17 |
+
},
|
18 |
+
"eos_token": {
|
19 |
+
"content": "<eos>",
|
20 |
+
"lstrip": false,
|
21 |
+
"normalized": false,
|
22 |
+
"rstrip": false,
|
23 |
+
"single_word": false
|
24 |
+
},
|
25 |
+
"pad_token": {
|
26 |
+
"content": "<pad>",
|
27 |
+
"lstrip": false,
|
28 |
+
"normalized": false,
|
29 |
+
"rstrip": false,
|
30 |
+
"single_word": false
|
31 |
+
},
|
32 |
+
"unk_token": {
|
33 |
+
"content": "<unk>",
|
34 |
+
"lstrip": false,
|
35 |
+
"normalized": false,
|
36 |
+
"rstrip": false,
|
37 |
+
"single_word": false
|
38 |
+
}
|
39 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ffd310e50986db7a039948ab83441d612689e7f989198e31b5c8984ca458adf6
|
3 |
+
size 17763459
|
tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
training_config.yml
ADDED
@@ -0,0 +1,41 @@
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|
|
1 |
+
config:
|
2 |
+
(): colpali_engine.utils.train_colpali_engine_models.ColModelTrainingConfig
|
3 |
+
output_dir: !path ../../../models/right_pad/train_bipali_pairwise_hardneg
|
4 |
+
processor:
|
5 |
+
() : colpali_engine.utils.wrapper.AutoProcessorWrapper
|
6 |
+
pretrained_model_name_or_path: "./models/paligemma-3b-mix-448"
|
7 |
+
max_length: 50
|
8 |
+
model:
|
9 |
+
(): colpali_engine.utils.wrapper.AllPurposeWrapper
|
10 |
+
class_to_instanciate: !ext colpali_engine.models.paligemma_colbert_architecture.BiPali
|
11 |
+
pretrained_model_name_or_path: "./models/paligemma-3b-mix-448"
|
12 |
+
torch_dtype: !ext torch.bfloat16
|
13 |
+
# device_map: "auto"
|
14 |
+
# quantization_config:
|
15 |
+
# (): transformers.BitsAndBytesConfig
|
16 |
+
# load_in_4bit: true
|
17 |
+
# bnb_4bit_quant_type: "nf4"
|
18 |
+
# bnb_4bit_compute_dtype: "bfloat16"
|
19 |
+
# bnb_4bit_use_double_quant: true
|
20 |
+
|
21 |
+
dataset_loading_func: !ext colpali_engine.utils.dataset_transformation.load_train_set_ir_negs
|
22 |
+
eval_dataset_loader: !import ../data/test_data.yaml
|
23 |
+
|
24 |
+
max_length: 50
|
25 |
+
run_eval: true
|
26 |
+
add_suffix: true
|
27 |
+
loss_func:
|
28 |
+
(): colpali_engine.loss.colbert_loss.BiPairwiseNegativeCELoss
|
29 |
+
in_batch_term: true
|
30 |
+
tr_args: !import ../tr_args/default_neg_tr_args.yaml
|
31 |
+
peft_config:
|
32 |
+
(): peft.LoraConfig
|
33 |
+
r: 32
|
34 |
+
lora_alpha: 32
|
35 |
+
lora_dropout: 0.1
|
36 |
+
init_lora_weights: "gaussian"
|
37 |
+
bias: "none"
|
38 |
+
task_type: "FEATURE_EXTRACTION"
|
39 |
+
target_modules: '(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$)'
|
40 |
+
# target_modules: '(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$'
|
41 |
+
|