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ProAssist-Model-L4096-I5

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  1. README.md +202 -0
  2. adapter_config.json +28 -0
  3. adapter_model.safetensors +3 -0
  4. config.json +216 -0
  5. eval.log +1643 -0
  6. eval.zip +3 -0
  7. runs/Aug22_00-33-06_h100-st-p548xlarge-42/events.out.tfevents.1724286925.h100-st-p548xlarge-42.2349651.0 +3 -0
  8. runs/Aug22_00-48-42_h100-st-p548xlarge-37/events.out.tfevents.1724287810.h100-st-p548xlarge-37.1114425.0 +3 -0
  9. runs/Aug22_02-03-56_h100-st-p548xlarge-5/events.out.tfevents.1724292325.h100-st-p548xlarge-5.2739441.0 +3 -0
  10. special_tokens_map.json +26 -0
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +2075 -0
  13. train.log +0 -0
  14. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: peft
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+ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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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. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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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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+
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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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+
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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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+
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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
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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
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+
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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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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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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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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- 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]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### 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
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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]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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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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+
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
adapter_config.json ADDED
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+ }
eval.log ADDED
@@ -0,0 +1,1643 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Traceback (most recent call last):
2
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 144, in <module>
3
+ main(eval_args, slurm_args)
4
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 134, in main
5
+ run_eval(eval_args, mode="compute_metrics", verbose=True)
6
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 70, in run_eval
7
+ print("Model: ", args.model_path, "device: ", model.device)
8
+ AttributeError: 'NoneType' object has no attribute 'device'
9
+ Model: /fsx_0/user/imzyc/proact_exps/20240822-L4096-I5-ep4-NOSEP-nr0.1-klgmix-1s-lora-bs384-debug
10
+ {'assembly101/dialog_val_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
11
+ 'eval_max_seq_len': 4096,
12
+ 'eval_max_seq_len_str': '4k',
13
+ 'inference_runner_type': 'stream',
14
+ 'not_talk_threshold': 0.1},
15
+ {'context_handling_method': 'summarize_and_drop',
16
+ 'eval_max_seq_len': 4096,
17
+ 'eval_max_seq_len_str': '4k',
18
+ 'inference_runner_type': 'stream',
19
+ 'not_talk_threshold': 0.2},
20
+ {'context_handling_method': 'summarize_and_drop',
21
+ 'eval_max_seq_len': 4096,
22
+ 'eval_max_seq_len_str': '4k',
23
+ 'inference_runner_type': 'stream',
24
+ 'not_talk_threshold': 0.3},
25
+ {'context_handling_method': 'summarize_and_drop',
26
+ 'eval_max_seq_len': 4096,
27
+ 'eval_max_seq_len_str': '4k',
28
+ 'inference_runner_type': 'stream',
29
+ 'not_talk_threshold': 0.4},
30
+ {'context_handling_method': 'summarize_and_drop',
31
+ 'eval_max_seq_len': 4096,
32
+ 'eval_max_seq_len_str': '4k',
33
+ 'inference_runner_type': 'stream',
34
+ 'not_talk_threshold': 0.5}]},
35
+ 'ego4d/dialog_val_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
36
+ 'eval_max_seq_len': 4096,
37
+ 'eval_max_seq_len_str': '4k',
38
+ 'inference_runner_type': 'stream',
39
+ 'not_talk_threshold': 0.05},
40
+ {'context_handling_method': 'summarize_and_drop',
41
+ 'eval_max_seq_len': 4096,
42
+ 'eval_max_seq_len_str': '4k',
43
+ 'inference_runner_type': 'stream',
44
+ 'not_talk_threshold': 0.1},
45
+ {'context_handling_method': 'summarize_and_drop',
46
+ 'eval_max_seq_len': 4096,
47
+ 'eval_max_seq_len_str': '4k',
48
+ 'inference_runner_type': 'stream',
49
+ 'not_talk_threshold': 0.2},
50
+ {'context_handling_method': 'summarize_and_drop',
51
+ 'eval_max_seq_len': 4096,
52
+ 'eval_max_seq_len_str': '4k',
53
+ 'inference_runner_type': 'stream',
54
+ 'not_talk_threshold': 0.3},
55
+ {'context_handling_method': 'summarize_and_drop',
56
+ 'eval_max_seq_len': 4096,
57
+ 'eval_max_seq_len_str': '4k',
58
+ 'inference_runner_type': 'stream',
59
+ 'not_talk_threshold': 0.4},
60
+ {'context_handling_method': 'summarize_and_drop',
61
+ 'eval_max_seq_len': 4096,
62
+ 'eval_max_seq_len_str': '4k',
63
+ 'inference_runner_type': 'stream',
64
+ 'not_talk_threshold': 0.5}]},
65
+ 'egoexolearn/dialog_val_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
66
+ 'eval_max_seq_len': 4096,
67
+ 'eval_max_seq_len_str': '4k',
68
+ 'inference_runner_type': 'stream',
69
+ 'not_talk_threshold': 0.1},
70
+ {'context_handling_method': 'summarize_and_drop',
71
+ 'eval_max_seq_len': 4096,
72
+ 'eval_max_seq_len_str': '4k',
73
+ 'inference_runner_type': 'stream',
74
+ 'not_talk_threshold': 0.2},
75
+ {'context_handling_method': 'summarize_and_drop',
76
+ 'eval_max_seq_len': 4096,
77
+ 'eval_max_seq_len_str': '4k',
78
+ 'inference_runner_type': 'stream',
79
+ 'not_talk_threshold': 0.3},
80
+ {'context_handling_method': 'summarize_and_drop',
81
+ 'eval_max_seq_len': 4096,
82
+ 'eval_max_seq_len_str': '4k',
83
+ 'inference_runner_type': 'stream',
84
+ 'not_talk_threshold': 0.4},
85
+ {'context_handling_method': 'summarize_and_drop',
86
+ 'eval_max_seq_len': 4096,
87
+ 'eval_max_seq_len_str': '4k',
88
+ 'inference_runner_type': 'stream',
89
+ 'not_talk_threshold': 0.5}]},
90
+ 'epickitchens/dialog_val_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
91
+ 'eval_max_seq_len': 4096,
92
+ 'eval_max_seq_len_str': '4k',
93
+ 'inference_runner_type': 'stream',
94
+ 'not_talk_threshold': 0.1},
95
+ {'context_handling_method': 'summarize_and_drop',
96
+ 'eval_max_seq_len': 4096,
97
+ 'eval_max_seq_len_str': '4k',
98
+ 'inference_runner_type': 'stream',
99
+ 'not_talk_threshold': 0.2},
100
+ {'context_handling_method': 'summarize_and_drop',
101
+ 'eval_max_seq_len': 4096,
102
+ 'eval_max_seq_len_str': '4k',
103
+ 'inference_runner_type': 'stream',
104
+ 'not_talk_threshold': 0.3},
105
+ {'context_handling_method': 'summarize_and_drop',
106
+ 'eval_max_seq_len': 4096,
107
+ 'eval_max_seq_len_str': '4k',
108
+ 'inference_runner_type': 'stream',
109
+ 'not_talk_threshold': 0.4},
110
+ {'context_handling_method': 'summarize_and_drop',
111
+ 'eval_max_seq_len': 4096,
112
+ 'eval_max_seq_len_str': '4k',
113
+ 'inference_runner_type': 'stream',
114
+ 'not_talk_threshold': 0.5}]},
115
+ 'holoassist/dialog_val_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
116
+ 'eval_max_seq_len': 4096,
117
+ 'eval_max_seq_len_str': '4k',
118
+ 'inference_runner_type': 'stream',
119
+ 'not_talk_threshold': 0.1},
120
+ {'context_handling_method': 'summarize_and_drop',
121
+ 'eval_max_seq_len': 4096,
122
+ 'eval_max_seq_len_str': '4k',
123
+ 'inference_runner_type': 'stream',
124
+ 'not_talk_threshold': 0.2},
125
+ {'context_handling_method': 'summarize_and_drop',
126
+ 'eval_max_seq_len': 4096,
127
+ 'eval_max_seq_len_str': '4k',
128
+ 'inference_runner_type': 'stream',
129
+ 'not_talk_threshold': 0.3},
130
+ {'context_handling_method': 'summarize_and_drop',
131
+ 'eval_max_seq_len': 4096,
132
+ 'eval_max_seq_len_str': '4k',
133
+ 'inference_runner_type': 'stream',
134
+ 'not_talk_threshold': 0.4},
135
+ {'context_handling_method': 'summarize_and_drop',
136
+ 'eval_max_seq_len': 4096,
137
+ 'eval_max_seq_len_str': '4k',
138
+ 'inference_runner_type': 'stream',
139
+ 'not_talk_threshold': 0.5}]},
140
+ 'wtag/dialog_val_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
141
+ 'eval_max_seq_len': 4096,
142
+ 'eval_max_seq_len_str': '4k',
143
+ 'inference_runner_type': 'stream',
144
+ 'not_talk_threshold': 0.1},
145
+ {'context_handling_method': 'summarize_and_drop',
146
+ 'eval_max_seq_len': 4096,
147
+ 'eval_max_seq_len_str': '4k',
148
+ 'inference_runner_type': 'stream',
149
+ 'not_talk_threshold': 0.2},
150
+ {'context_handling_method': 'summarize_and_drop',
151
+ 'eval_max_seq_len': 4096,
152
+ 'eval_max_seq_len_str': '4k',
153
+ 'inference_runner_type': 'stream',
154
+ 'not_talk_threshold': 0.3},
155
+ {'context_handling_method': 'summarize_and_drop',
156
+ 'eval_max_seq_len': 4096,
157
+ 'eval_max_seq_len_str': '4k',
158
+ 'inference_runner_type': 'stream',
159
+ 'not_talk_threshold': 0.4},
160
+ {'context_handling_method': 'summarize_and_drop',
161
+ 'eval_max_seq_len': 4096,
162
+ 'eval_max_seq_len_str': '4k',
163
+ 'inference_runner_type': 'stream',
164
+ 'not_talk_threshold': 0.5}]}}
165
+ Evaluation datasets:
166
+ * ego4d/dialog_val | num samples: 96
167
+
168
+ Updating eval setup: inference_runner_type: None -> stream
169
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.05
170
+ Evalulation: ego4d-dialog_val_L0_I5/stream/notalk0.05-maxlen_4k
171
+ Metrics:
172
+ missing_rate: 0.8143
173
+ redundant_rate: 0.0418
174
+ semantic_score: 0.7024
175
+ jaccard_index: 0.1469
176
+ precision: 0.7642
177
+ recall: 0.1481
178
+ F1: 0.2481
179
+ num_matched: 713.0000
180
+ num_mismatched: 181.0000
181
+ num_missed: 3920.0000
182
+ num_redundant: 39.0000
183
+ Bleu_1: 0.4112
184
+ Bleu_1_w: 0.0604
185
+ Bleu_2: 0.3002
186
+ Bleu_2_w: 0.0441
187
+ Bleu_3: 0.2331
188
+ Bleu_3_w: 0.0342
189
+ Bleu_4: 0.1877
190
+ Bleu_4_w: 0.0276
191
+ CIDEr: 1.1146
192
+ CIDEr_w: 0.1638
193
+ METEOR: 0.2052
194
+ METEOR_w: 0.0302
195
+
196
+ Updating eval setup: not_talk_threshold: 0.05 -> 0.1
197
+ Evalulation: ego4d-dialog_val_L0_I5/stream/notalk0.1-maxlen_4k
198
+ Metrics:
199
+ missing_rate: 0.7900
200
+ redundant_rate: 0.1124
201
+ semantic_score: 0.7032
202
+ jaccard_index: 0.1566
203
+ precision: 0.6795
204
+ recall: 0.1608
205
+ F1: 0.2600
206
+ num_matched: 774.0000
207
+ num_mismatched: 237.0000
208
+ num_missed: 3803.0000
209
+ num_redundant: 128.0000
210
+ Bleu_1: 0.4120
211
+ Bleu_1_w: 0.0645
212
+ Bleu_2: 0.2990
213
+ Bleu_2_w: 0.0468
214
+ Bleu_3: 0.2308
215
+ Bleu_3_w: 0.0362
216
+ Bleu_4: 0.1849
217
+ Bleu_4_w: 0.0290
218
+ CIDEr: 1.1293
219
+ CIDEr_w: 0.1769
220
+ METEOR: 0.2049
221
+ METEOR_w: 0.0321
222
+
223
+ Updating eval setup: not_talk_threshold: 0.1 -> 0.2
224
+ Evalulation: ego4d-dialog_val_L0_I5/stream/notalk0.2-maxlen_4k
225
+ Metrics:
226
+ missing_rate: 0.7179
227
+ redundant_rate: 0.2687
228
+ semantic_score: 0.6990
229
+ jaccard_index: 0.1850
230
+ precision: 0.5293
231
+ recall: 0.2042
232
+ F1: 0.2947
233
+ num_matched: 983.0000
234
+ num_mismatched: 375.0000
235
+ num_missed: 3456.0000
236
+ num_redundant: 499.0000
237
+ Bleu_1: 0.4005
238
+ Bleu_1_w: 0.0741
239
+ Bleu_2: 0.2853
240
+ Bleu_2_w: 0.0528
241
+ Bleu_3: 0.2176
242
+ Bleu_3_w: 0.0403
243
+ Bleu_4: 0.1735
244
+ Bleu_4_w: 0.0321
245
+ CIDEr: 0.9623
246
+ CIDEr_w: 0.1780
247
+ METEOR: 0.1921
248
+ METEOR_w: 0.0355
249
+
250
+ Updating eval setup: not_talk_threshold: 0.2 -> 0.3
251
+ Evalulation: ego4d-dialog_val_L0_I5/stream/notalk0.3-maxlen_4k
252
+ Metrics:
253
+ missing_rate: 0.6342
254
+ redundant_rate: 0.4073
255
+ semantic_score: 0.6859
256
+ jaccard_index: 0.2117
257
+ precision: 0.4291
258
+ recall: 0.2649
259
+ F1: 0.3276
260
+ num_matched: 1275.0000
261
+ num_mismatched: 486.0000
262
+ num_missed: 3053.0000
263
+ num_redundant: 1210.0000
264
+ Bleu_1: 0.3777
265
+ Bleu_1_w: 0.0799
266
+ Bleu_2: 0.2595
267
+ Bleu_2_w: 0.0549
268
+ Bleu_3: 0.1918
269
+ Bleu_3_w: 0.0406
270
+ Bleu_4: 0.1491
271
+ Bleu_4_w: 0.0316
272
+ CIDEr: 0.7785
273
+ CIDEr_w: 0.1648
274
+ METEOR: 0.1803
275
+ METEOR_w: 0.0382
276
+
277
+ Updating eval setup: not_talk_threshold: 0.3 -> 0.4
278
+ Evalulation: ego4d-dialog_val_L0_I5/stream/notalk0.4-maxlen_4k
279
+ Metrics:
280
+ missing_rate: 0.5374
281
+ redundant_rate: 0.5324
282
+ semantic_score: 0.6808
283
+ jaccard_index: 0.2079
284
+ precision: 0.3208
285
+ recall: 0.3174
286
+ F1: 0.3191
287
+ num_matched: 1528.0000
288
+ num_mismatched: 699.0000
289
+ num_missed: 2587.0000
290
+ num_redundant: 2536.0000
291
+ Bleu_1: 0.3763
292
+ Bleu_1_w: 0.0782
293
+ Bleu_2: 0.2556
294
+ Bleu_2_w: 0.0531
295
+ Bleu_3: 0.1874
296
+ Bleu_3_w: 0.0390
297
+ Bleu_4: 0.1447
298
+ Bleu_4_w: 0.0301
299
+ CIDEr: 0.7667
300
+ CIDEr_w: 0.1594
301
+ METEOR: 0.1752
302
+ METEOR_w: 0.0364
303
+
304
+ Updating eval setup: not_talk_threshold: 0.4 -> 0.5
305
+ Evalulation: ego4d-dialog_val_L0_I5/stream/notalk0.5-maxlen_4k
306
+ Metrics:
307
+ missing_rate: 0.4053
308
+ redundant_rate: 0.7022
309
+ semantic_score: 0.6725
310
+ jaccard_index: 0.1596
311
+ precision: 0.1920
312
+ recall: 0.3835
313
+ F1: 0.2559
314
+ num_matched: 1846.0000
315
+ num_mismatched: 1017.0000
316
+ num_missed: 1951.0000
317
+ num_redundant: 6750.0000
318
+ Bleu_1: 0.3556
319
+ Bleu_1_w: 0.0568
320
+ Bleu_2: 0.2372
321
+ Bleu_2_w: 0.0379
322
+ Bleu_3: 0.1705
323
+ Bleu_3_w: 0.0272
324
+ Bleu_4: 0.1289
325
+ Bleu_4_w: 0.0206
326
+ CIDEr: 0.6627
327
+ CIDEr_w: 0.1058
328
+ METEOR: 0.1699
329
+ METEOR_w: 0.0271
330
+
331
+ Evaluation datasets:
332
+ * holoassist/dialog_val | num samples: 291
333
+
334
+ Updating eval setup: inference_runner_type: None -> stream
335
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.1
336
+ Evalulation: holoassist-dialog_val_L0_I5/stream/notalk0.1-maxlen_4k
337
+ Metrics:
338
+ missing_rate: 0.8169
339
+ redundant_rate: 0.0096
340
+ semantic_score: 0.6931
341
+ jaccard_index: 0.1324
342
+ precision: 0.7175
343
+ recall: 0.1326
344
+ F1: 0.2239
345
+ num_matched: 2024.0000
346
+ num_mismatched: 770.0000
347
+ num_missed: 12467.0000
348
+ num_redundant: 27.0000
349
+ Bleu_1: 0.4319
350
+ Bleu_1_w: 0.0572
351
+ Bleu_2: 0.3132
352
+ Bleu_2_w: 0.0415
353
+ Bleu_3: 0.2389
354
+ Bleu_3_w: 0.0316
355
+ Bleu_4: 0.1871
356
+ Bleu_4_w: 0.0248
357
+ CIDEr: 1.1122
358
+ CIDEr_w: 0.1472
359
+ METEOR: 0.2072
360
+ METEOR_w: 0.0274
361
+
362
+ Updating eval setup: not_talk_threshold: 0.1 -> 0.2
363
+ Evalulation: holoassist-dialog_val_L0_I5/stream/notalk0.2-maxlen_4k
364
+ Metrics:
365
+ missing_rate: 0.6569
366
+ redundant_rate: 0.0176
367
+ semantic_score: 0.6920
368
+ jaccard_index: 0.2380
369
+ precision: 0.6856
370
+ recall: 0.2394
371
+ F1: 0.3549
372
+ num_matched: 3654.0000
373
+ num_mismatched: 1582.0000
374
+ num_missed: 10025.0000
375
+ num_redundant: 94.0000
376
+ Bleu_1: 0.4265
377
+ Bleu_1_w: 0.1015
378
+ Bleu_2: 0.3066
379
+ Bleu_2_w: 0.0730
380
+ Bleu_3: 0.2318
381
+ Bleu_3_w: 0.0552
382
+ Bleu_4: 0.1807
383
+ Bleu_4_w: 0.0430
384
+ CIDEr: 1.0739
385
+ CIDEr_w: 0.2556
386
+ METEOR: 0.2021
387
+ METEOR_w: 0.0481
388
+
389
+ Updating eval setup: not_talk_threshold: 0.2 -> 0.3
390
+ Evalulation: holoassist-dialog_val_L0_I5/stream/notalk0.3-maxlen_4k
391
+ Metrics:
392
+ missing_rate: 0.5975
393
+ redundant_rate: 0.0346
394
+ semantic_score: 0.6902
395
+ jaccard_index: 0.2730
396
+ precision: 0.6643
397
+ recall: 0.2770
398
+ F1: 0.3910
399
+ num_matched: 4227.0000
400
+ num_mismatched: 1916.0000
401
+ num_missed: 9118.0000
402
+ num_redundant: 220.0000
403
+ Bleu_1: 0.4227
404
+ Bleu_1_w: 0.1154
405
+ Bleu_2: 0.3021
406
+ Bleu_2_w: 0.0825
407
+ Bleu_3: 0.2281
408
+ Bleu_3_w: 0.0623
409
+ Bleu_4: 0.1775
410
+ Bleu_4_w: 0.0485
411
+ CIDEr: 1.0430
412
+ CIDEr_w: 0.2848
413
+ METEOR: 0.1995
414
+ METEOR_w: 0.0545
415
+
416
+ Updating eval setup: not_talk_threshold: 0.3 -> 0.4
417
+ Evalulation: holoassist-dialog_val_L0_I5/stream/notalk0.4-maxlen_4k
418
+ Metrics:
419
+ missing_rate: 0.4488
420
+ redundant_rate: 0.3363
421
+ semantic_score: 0.6851
422
+ jaccard_index: 0.2771
423
+ precision: 0.4268
424
+ recall: 0.3544
425
+ F1: 0.3873
426
+ num_matched: 5409.0000
427
+ num_mismatched: 3003.0000
428
+ num_missed: 6849.0000
429
+ num_redundant: 4262.0000
430
+ Bleu_1: 0.4084
431
+ Bleu_1_w: 0.1132
432
+ Bleu_2: 0.2863
433
+ Bleu_2_w: 0.0793
434
+ Bleu_3: 0.2127
435
+ Bleu_3_w: 0.0589
436
+ Bleu_4: 0.1632
437
+ Bleu_4_w: 0.0452
438
+ CIDEr: 0.9756
439
+ CIDEr_w: 0.2703
440
+ METEOR: 0.1921
441
+ METEOR_w: 0.0532
442
+
443
+ Updating eval setup: not_talk_threshold: 0.4 -> 0.5
444
+ Evalulation: holoassist-dialog_val_L0_I5/stream/notalk0.5-maxlen_4k
445
+ Metrics:
446
+ missing_rate: 0.2812
447
+ redundant_rate: 0.6232
448
+ semantic_score: 0.6782
449
+ jaccard_index: 0.2047
450
+ precision: 0.2349
451
+ recall: 0.4481
452
+ F1: 0.3082
453
+ num_matched: 6838.0000
454
+ num_mismatched: 4131.0000
455
+ num_missed: 4292.0000
456
+ num_redundant: 18140.0000
457
+ Bleu_1: 0.3886
458
+ Bleu_1_w: 0.0795
459
+ Bleu_2: 0.2671
460
+ Bleu_2_w: 0.0547
461
+ Bleu_3: 0.1963
462
+ Bleu_3_w: 0.0402
463
+ Bleu_4: 0.1491
464
+ Bleu_4_w: 0.0305
465
+ CIDEr: 0.8726
466
+ CIDEr_w: 0.1786
467
+ METEOR: 0.1812
468
+ METEOR_w: 0.0371
469
+
470
+ Evaluation datasets:
471
+ * epickitchens/dialog_val | num samples: 150
472
+
473
+ Updating eval setup: inference_runner_type: None -> stream
474
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.1
475
+ Evalulation: epickitchens-dialog_val_L0_I5/stream/notalk0.1-maxlen_4k
476
+ Metrics:
477
+ missing_rate: 0.7505
478
+ redundant_rate: 0.0771
479
+ semantic_score: 0.6804
480
+ jaccard_index: 0.1637
481
+ precision: 0.6182
482
+ recall: 0.1671
483
+ F1: 0.2631
484
+ num_matched: 1075.0000
485
+ num_mismatched: 530.0000
486
+ num_missed: 4827.0000
487
+ num_redundant: 134.0000
488
+ Bleu_1: 0.4001
489
+ Bleu_1_w: 0.0655
490
+ Bleu_2: 0.2872
491
+ Bleu_2_w: 0.0470
492
+ Bleu_3: 0.2182
493
+ Bleu_3_w: 0.0357
494
+ Bleu_4: 0.1706
495
+ Bleu_4_w: 0.0279
496
+ CIDEr: 1.1686
497
+ CIDEr_w: 0.1913
498
+ METEOR: 0.2001
499
+ METEOR_w: 0.0328
500
+
501
+ Updating eval setup: not_talk_threshold: 0.1 -> 0.2
502
+ Evalulation: epickitchens-dialog_val_L0_I5/stream/notalk0.2-maxlen_4k
503
+ Metrics:
504
+ missing_rate: 0.6191
505
+ redundant_rate: 0.1988
506
+ semantic_score: 0.6640
507
+ jaccard_index: 0.2061
508
+ precision: 0.4745
509
+ recall: 0.2256
510
+ F1: 0.3058
511
+ num_matched: 1451.0000
512
+ num_mismatched: 999.0000
513
+ num_missed: 3982.0000
514
+ num_redundant: 608.0000
515
+ Bleu_1: 0.3887
516
+ Bleu_1_w: 0.0801
517
+ Bleu_2: 0.2711
518
+ Bleu_2_w: 0.0559
519
+ Bleu_3: 0.2005
520
+ Bleu_3_w: 0.0413
521
+ Bleu_4: 0.1546
522
+ Bleu_4_w: 0.0319
523
+ CIDEr: 1.0446
524
+ CIDEr_w: 0.2153
525
+ METEOR: 0.1885
526
+ METEOR_w: 0.0389
527
+
528
+ Updating eval setup: not_talk_threshold: 0.2 -> 0.3
529
+ Evalulation: epickitchens-dialog_val_L0_I5/stream/notalk0.3-maxlen_4k
530
+ Metrics:
531
+ missing_rate: 0.4639
532
+ redundant_rate: 0.3537
533
+ semantic_score: 0.6534
534
+ jaccard_index: 0.2261
535
+ precision: 0.3526
536
+ recall: 0.2924
537
+ F1: 0.3197
538
+ num_matched: 1881.0000
539
+ num_mismatched: 1567.0000
540
+ num_missed: 2984.0000
541
+ num_redundant: 1887.0000
542
+ Bleu_1: 0.3547
543
+ Bleu_1_w: 0.0802
544
+ Bleu_2: 0.2373
545
+ Bleu_2_w: 0.0537
546
+ Bleu_3: 0.1686
547
+ Bleu_3_w: 0.0381
548
+ Bleu_4: 0.1262
549
+ Bleu_4_w: 0.0285
550
+ CIDEr: 0.8348
551
+ CIDEr_w: 0.1888
552
+ METEOR: 0.1764
553
+ METEOR_w: 0.0399
554
+
555
+ Updating eval setup: not_talk_threshold: 0.3 -> 0.4
556
+ Evalulation: epickitchens-dialog_val_L0_I5/stream/notalk0.4-maxlen_4k
557
+ Metrics:
558
+ missing_rate: 0.3136
559
+ redundant_rate: 0.5891
560
+ semantic_score: 0.6491
561
+ jaccard_index: 0.1801
562
+ precision: 0.2138
563
+ recall: 0.3573
564
+ F1: 0.2676
565
+ num_matched: 2298.0000
566
+ num_mismatched: 2117.0000
567
+ num_missed: 2017.0000
568
+ num_redundant: 6331.0000
569
+ Bleu_1: 0.3525
570
+ Bleu_1_w: 0.0635
571
+ Bleu_2: 0.2293
572
+ Bleu_2_w: 0.0413
573
+ Bleu_3: 0.1598
574
+ Bleu_3_w: 0.0288
575
+ Bleu_4: 0.1185
576
+ Bleu_4_w: 0.0213
577
+ CIDEr: 0.7864
578
+ CIDEr_w: 0.1416
579
+ METEOR: 0.1703
580
+ METEOR_w: 0.0307
581
+
582
+ Updating eval setup: not_talk_threshold: 0.4 -> 0.5
583
+ Evalulation: epickitchens-dialog_val_L0_I5/stream/notalk0.5-maxlen_4k
584
+ Metrics:
585
+ missing_rate: 0.2040
586
+ redundant_rate: 0.7203
587
+ semantic_score: 0.6452
588
+ jaccard_index: 0.1408
589
+ precision: 0.1509
590
+ recall: 0.4296
591
+ F1: 0.2234
592
+ num_matched: 2763.0000
593
+ num_mismatched: 2357.0000
594
+ num_missed: 1312.0000
595
+ num_redundant: 13187.0000
596
+ Bleu_1: 0.3569
597
+ Bleu_1_w: 0.0503
598
+ Bleu_2: 0.2305
599
+ Bleu_2_w: 0.0325
600
+ Bleu_3: 0.1585
601
+ Bleu_3_w: 0.0223
602
+ Bleu_4: 0.1160
603
+ Bleu_4_w: 0.0163
604
+ CIDEr: 0.7808
605
+ CIDEr_w: 0.1100
606
+ METEOR: 0.1699
607
+ METEOR_w: 0.0239
608
+
609
+ Evaluation datasets:
610
+ * egoexolearn/dialog_val | num samples: 123
611
+
612
+ Updating eval setup: inference_runner_type: None -> stream
613
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.1
614
+ Evalulation: egoexolearn-dialog_val_L0_I5/stream/notalk0.1-maxlen_4k
615
+ Metrics:
616
+ missing_rate: 0.8310
617
+ redundant_rate: 0.0334
618
+ semantic_score: 0.6980
619
+ jaccard_index: 0.1260
620
+ precision: 0.7252
621
+ recall: 0.1268
622
+ F1: 0.2158
623
+ num_matched: 1520.0000
624
+ num_mismatched: 506.0000
625
+ num_missed: 9965.0000
626
+ num_redundant: 70.0000
627
+ Bleu_1: 0.4299
628
+ Bleu_1_w: 0.0542
629
+ Bleu_2: 0.3105
630
+ Bleu_2_w: 0.0391
631
+ Bleu_3: 0.2375
632
+ Bleu_3_w: 0.0299
633
+ Bleu_4: 0.1875
634
+ Bleu_4_w: 0.0236
635
+ CIDEr: 1.1086
636
+ CIDEr_w: 0.1397
637
+ METEOR: 0.2051
638
+ METEOR_w: 0.0258
639
+
640
+ Updating eval setup: not_talk_threshold: 0.1 -> 0.2
641
+ Evalulation: egoexolearn-dialog_val_L0_I5/stream/notalk0.2-maxlen_4k
642
+ Metrics:
643
+ missing_rate: 0.8105
644
+ redundant_rate: 0.1288
645
+ semantic_score: 0.6944
646
+ jaccard_index: 0.1330
647
+ precision: 0.6288
648
+ recall: 0.1368
649
+ F1: 0.2247
650
+ num_matched: 1640.0000
651
+ num_mismatched: 632.0000
652
+ num_missed: 9719.0000
653
+ num_redundant: 336.0000
654
+ Bleu_1: 0.4263
655
+ Bleu_1_w: 0.0567
656
+ Bleu_2: 0.3069
657
+ Bleu_2_w: 0.0408
658
+ Bleu_3: 0.2339
659
+ Bleu_3_w: 0.0311
660
+ Bleu_4: 0.1840
661
+ Bleu_4_w: 0.0245
662
+ CIDEr: 1.0771
663
+ CIDEr_w: 0.1433
664
+ METEOR: 0.2020
665
+ METEOR_w: 0.0269
666
+
667
+ Updating eval setup: not_talk_threshold: 0.2 -> 0.3
668
+ Evalulation: egoexolearn-dialog_val_L0_I5/stream/notalk0.3-maxlen_4k
669
+ Metrics:
670
+ missing_rate: 0.7804
671
+ redundant_rate: 0.2401
672
+ semantic_score: 0.6867
673
+ jaccard_index: 0.1436
674
+ precision: 0.5313
675
+ recall: 0.1535
676
+ F1: 0.2382
677
+ num_matched: 1841.0000
678
+ num_mismatched: 792.0000
679
+ num_missed: 9358.0000
680
+ num_redundant: 832.0000
681
+ Bleu_1: 0.4164
682
+ Bleu_1_w: 0.0598
683
+ Bleu_2: 0.2942
684
+ Bleu_2_w: 0.0422
685
+ Bleu_3: 0.2212
686
+ Bleu_3_w: 0.0318
687
+ Bleu_4: 0.1721
688
+ Bleu_4_w: 0.0247
689
+ CIDEr: 1.0102
690
+ CIDEr_w: 0.1450
691
+ METEOR: 0.1951
692
+ METEOR_w: 0.0280
693
+
694
+ Updating eval setup: not_talk_threshold: 0.3 -> 0.4
695
+ Evalulation: egoexolearn-dialog_val_L0_I5/stream/notalk0.4-maxlen_4k
696
+ Metrics:
697
+ missing_rate: 0.7114
698
+ redundant_rate: 0.3865
699
+ semantic_score: 0.6745
700
+ jaccard_index: 0.1580
701
+ precision: 0.3969
702
+ recall: 0.1867
703
+ F1: 0.2540
704
+ num_matched: 2239.0000
705
+ num_mismatched: 1222.0000
706
+ num_missed: 8530.0000
707
+ num_redundant: 2180.0000
708
+ Bleu_1: 0.4039
709
+ Bleu_1_w: 0.0638
710
+ Bleu_2: 0.2814
711
+ Bleu_2_w: 0.0445
712
+ Bleu_3: 0.2088
713
+ Bleu_3_w: 0.0330
714
+ Bleu_4: 0.1606
715
+ Bleu_4_w: 0.0254
716
+ CIDEr: 0.9108
717
+ CIDEr_w: 0.1439
718
+ METEOR: 0.1870
719
+ METEOR_w: 0.0296
720
+
721
+ Updating eval setup: not_talk_threshold: 0.4 -> 0.5
722
+ Evalulation: egoexolearn-dialog_val_L0_I5/stream/notalk0.5-maxlen_4k
723
+ Metrics:
724
+ missing_rate: 0.5728
725
+ redundant_rate: 0.5894
726
+ semantic_score: 0.6633
727
+ jaccard_index: 0.1569
728
+ precision: 0.2432
729
+ recall: 0.2531
730
+ F1: 0.2481
731
+ num_matched: 3035.0000
732
+ num_mismatched: 2088.0000
733
+ num_missed: 6868.0000
734
+ num_redundant: 7355.0000
735
+ Bleu_1: 0.3851
736
+ Bleu_1_w: 0.0604
737
+ Bleu_2: 0.2611
738
+ Bleu_2_w: 0.0410
739
+ Bleu_3: 0.1877
740
+ Bleu_3_w: 0.0294
741
+ Bleu_4: 0.1406
742
+ Bleu_4_w: 0.0221
743
+ CIDEr: 0.7626
744
+ CIDEr_w: 0.1196
745
+ METEOR: 0.1741
746
+ METEOR_w: 0.0273
747
+
748
+ Evaluation datasets:
749
+ * wtag/dialog_val | num samples: 21
750
+
751
+ Updating eval setup: inference_runner_type: None -> stream
752
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.1
753
+ Evalulation: wtag-dialog_val_L0_I5/stream/notalk0.1-maxlen_4k
754
+ Metrics:
755
+ missing_rate: 0.5732
756
+ redundant_rate: 0.1089
757
+ semantic_score: 0.6824
758
+ jaccard_index: 0.2099
759
+ precision: 0.4611
760
+ recall: 0.2209
761
+ F1: 0.2987
762
+ num_matched: 237.0000
763
+ num_mismatched: 221.0000
764
+ num_missed: 615.0000
765
+ num_redundant: 56.0000
766
+ Bleu_1: 0.3633
767
+ Bleu_1_w: 0.0763
768
+ Bleu_2: 0.2567
769
+ Bleu_2_w: 0.0539
770
+ Bleu_3: 0.1885
771
+ Bleu_3_w: 0.0396
772
+ Bleu_4: 0.1448
773
+ Bleu_4_w: 0.0304
774
+ CIDEr: 0.9644
775
+ CIDEr_w: 0.2025
776
+ METEOR: 0.2138
777
+ METEOR_w: 0.0449
778
+
779
+ Updating eval setup: not_talk_threshold: 0.1 -> 0.2
780
+ Evalulation: wtag-dialog_val_L0_I5/stream/notalk0.2-maxlen_4k
781
+ Metrics:
782
+ missing_rate: 0.5005
783
+ redundant_rate: 0.1612
784
+ semantic_score: 0.6793
785
+ jaccard_index: 0.2109
786
+ precision: 0.3881
787
+ recall: 0.2311
788
+ F1: 0.2897
789
+ num_matched: 248.0000
790
+ num_mismatched: 288.0000
791
+ num_missed: 537.0000
792
+ num_redundant: 103.0000
793
+ Bleu_1: 0.3624
794
+ Bleu_1_w: 0.0764
795
+ Bleu_2: 0.2559
796
+ Bleu_2_w: 0.0540
797
+ Bleu_3: 0.1871
798
+ Bleu_3_w: 0.0395
799
+ Bleu_4: 0.1435
800
+ Bleu_4_w: 0.0303
801
+ CIDEr: 0.9300
802
+ CIDEr_w: 0.1961
803
+ METEOR: 0.2112
804
+ METEOR_w: 0.0445
805
+
806
+ Updating eval setup: not_talk_threshold: 0.2 -> 0.3
807
+ Evalulation: wtag-dialog_val_L0_I5/stream/notalk0.3-maxlen_4k
808
+ Metrics:
809
+ missing_rate: 0.4352
810
+ redundant_rate: 0.1844
811
+ semantic_score: 0.6717
812
+ jaccard_index: 0.2099
813
+ precision: 0.3419
814
+ recall: 0.2367
815
+ F1: 0.2797
816
+ num_matched: 254.0000
817
+ num_mismatched: 352.0000
818
+ num_missed: 467.0000
819
+ num_redundant: 137.0000
820
+ Bleu_1: 0.3506
821
+ Bleu_1_w: 0.0736
822
+ Bleu_2: 0.2455
823
+ Bleu_2_w: 0.0515
824
+ Bleu_3: 0.1793
825
+ Bleu_3_w: 0.0376
826
+ Bleu_4: 0.1362
827
+ Bleu_4_w: 0.0286
828
+ CIDEr: 0.8458
829
+ CIDEr_w: 0.1775
830
+ METEOR: 0.2037
831
+ METEOR_w: 0.0428
832
+
833
+ Updating eval setup: not_talk_threshold: 0.3 -> 0.4
834
+ Evalulation: wtag-dialog_val_L0_I5/stream/notalk0.4-maxlen_4k
835
+ Metrics:
836
+ missing_rate: 0.4101
837
+ redundant_rate: 0.2383
838
+ semantic_score: 0.6682
839
+ jaccard_index: 0.2242
840
+ precision: 0.3430
841
+ recall: 0.2656
842
+ F1: 0.2994
843
+ num_matched: 285.0000
844
+ num_mismatched: 348.0000
845
+ num_missed: 440.0000
846
+ num_redundant: 198.0000
847
+ Bleu_1: 0.3571
848
+ Bleu_1_w: 0.0801
849
+ Bleu_2: 0.2481
850
+ Bleu_2_w: 0.0556
851
+ Bleu_3: 0.1788
852
+ Bleu_3_w: 0.0401
853
+ Bleu_4: 0.1315
854
+ Bleu_4_w: 0.0295
855
+ CIDEr: 0.8673
856
+ CIDEr_w: 0.1945
857
+ METEOR: 0.2046
858
+ METEOR_w: 0.0459
859
+
860
+ Updating eval setup: not_talk_threshold: 0.4 -> 0.5
861
+ Evalulation: wtag-dialog_val_L0_I5/stream/notalk0.5-maxlen_4k
862
+ Metrics:
863
+ missing_rate: 0.3849
864
+ redundant_rate: 0.3038
865
+ semantic_score: 0.6623
866
+ jaccard_index: 0.2035
867
+ precision: 0.2922
868
+ recall: 0.2582
869
+ F1: 0.2741
870
+ num_matched: 277.0000
871
+ num_mismatched: 383.0000
872
+ num_missed: 413.0000
873
+ num_redundant: 288.0000
874
+ Bleu_1: 0.3455
875
+ Bleu_1_w: 0.0703
876
+ Bleu_2: 0.2390
877
+ Bleu_2_w: 0.0486
878
+ Bleu_3: 0.1720
879
+ Bleu_3_w: 0.0350
880
+ Bleu_4: 0.1264
881
+ Bleu_4_w: 0.0257
882
+ CIDEr: 0.7777
883
+ CIDEr_w: 0.1583
884
+ METEOR: 0.1970
885
+ METEOR_w: 0.0401
886
+
887
+ Evaluation datasets:
888
+ * assembly101/dialog_val | num samples: 336
889
+
890
+ Updating eval setup: inference_runner_type: None -> stream
891
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.1
892
+ Evalulation: assembly101-dialog_val_L0_I5/stream/notalk0.1-maxlen_4k
893
+ Metrics:
894
+ missing_rate: 0.7505
895
+ redundant_rate: 0.0598
896
+ semantic_score: 0.6999
897
+ jaccard_index: 0.1639
898
+ precision: 0.6275
899
+ recall: 0.1665
900
+ F1: 0.2632
901
+ num_matched: 1385.0000
902
+ num_mismatched: 690.0000
903
+ num_missed: 6243.0000
904
+ num_redundant: 132.0000
905
+ Bleu_1: 0.4494
906
+ Bleu_1_w: 0.0737
907
+ Bleu_2: 0.3420
908
+ Bleu_2_w: 0.0560
909
+ Bleu_3: 0.2687
910
+ Bleu_3_w: 0.0440
911
+ Bleu_4: 0.2174
912
+ Bleu_4_w: 0.0356
913
+ CIDEr: 1.2016
914
+ CIDEr_w: 0.1969
915
+ METEOR: 0.2251
916
+ METEOR_w: 0.0369
917
+
918
+ Updating eval setup: not_talk_threshold: 0.1 -> 0.2
919
+ Evalulation: assembly101-dialog_val_L0_I5/stream/notalk0.2-maxlen_4k
920
+ Metrics:
921
+ missing_rate: 0.6718
922
+ redundant_rate: 0.1407
923
+ semantic_score: 0.6904
924
+ jaccard_index: 0.1954
925
+ precision: 0.5392
926
+ recall: 0.2059
927
+ F1: 0.2980
928
+ num_matched: 1713.0000
929
+ num_mismatched: 1017.0000
930
+ num_missed: 5588.0000
931
+ num_redundant: 447.0000
932
+ Bleu_1: 0.4380
933
+ Bleu_1_w: 0.0856
934
+ Bleu_2: 0.3286
935
+ Bleu_2_w: 0.0642
936
+ Bleu_3: 0.2547
937
+ Bleu_3_w: 0.0498
938
+ Bleu_4: 0.2038
939
+ Bleu_4_w: 0.0398
940
+ CIDEr: 1.1287
941
+ CIDEr_w: 0.2206
942
+ METEOR: 0.2136
943
+ METEOR_w: 0.0417
944
+
945
+ Updating eval setup: not_talk_threshold: 0.2 -> 0.3
946
+ Evalulation: assembly101-dialog_val_L0_I5/stream/notalk0.3-maxlen_4k
947
+ Metrics:
948
+ missing_rate: 0.5380
949
+ redundant_rate: 0.2288
950
+ semantic_score: 0.6756
951
+ jaccard_index: 0.2341
952
+ precision: 0.4443
953
+ recall: 0.2662
954
+ F1: 0.3329
955
+ num_matched: 2214.0000
956
+ num_mismatched: 1629.0000
957
+ num_missed: 4475.0000
958
+ num_redundant: 1140.0000
959
+ Bleu_1: 0.4198
960
+ Bleu_1_w: 0.0983
961
+ Bleu_2: 0.3065
962
+ Bleu_2_w: 0.0718
963
+ Bleu_3: 0.2322
964
+ Bleu_3_w: 0.0544
965
+ Bleu_4: 0.1824
966
+ Bleu_4_w: 0.0427
967
+ CIDEr: 0.9634
968
+ CIDEr_w: 0.2255
969
+ METEOR: 0.2017
970
+ METEOR_w: 0.0472
971
+
972
+ Updating eval setup: not_talk_threshold: 0.3 -> 0.4
973
+ Evalulation: assembly101-dialog_val_L0_I5/stream/notalk0.4-maxlen_4k
974
+ Metrics:
975
+ missing_rate: 0.4035
976
+ redundant_rate: 0.3546
977
+ semantic_score: 0.6672
978
+ jaccard_index: 0.2383
979
+ precision: 0.3424
980
+ recall: 0.3164
981
+ F1: 0.3289
982
+ num_matched: 2632.0000
983
+ num_mismatched: 2330.0000
984
+ num_missed: 3356.0000
985
+ num_redundant: 2726.0000
986
+ Bleu_1: 0.4067
987
+ Bleu_1_w: 0.0969
988
+ Bleu_2: 0.2925
989
+ Bleu_2_w: 0.0697
990
+ Bleu_3: 0.2197
991
+ Bleu_3_w: 0.0523
992
+ Bleu_4: 0.1718
993
+ Bleu_4_w: 0.0409
994
+ CIDEr: 0.8919
995
+ CIDEr_w: 0.2126
996
+ METEOR: 0.1935
997
+ METEOR_w: 0.0461
998
+
999
+ Updating eval setup: not_talk_threshold: 0.4 -> 0.5
1000
+ Evalulation: assembly101-dialog_val_L0_I5/stream/notalk0.5-maxlen_4k
1001
+ Metrics:
1002
+ missing_rate: 0.2394
1003
+ redundant_rate: 0.5560
1004
+ semantic_score: 0.6602
1005
+ jaccard_index: 0.2055
1006
+ precision: 0.2342
1007
+ recall: 0.4012
1008
+ F1: 0.2957
1009
+ num_matched: 3337.0000
1010
+ num_mismatched: 2990.0000
1011
+ num_missed: 1991.0000
1012
+ num_redundant: 7922.0000
1013
+ Bleu_1: 0.3875
1014
+ Bleu_1_w: 0.0796
1015
+ Bleu_2: 0.2718
1016
+ Bleu_2_w: 0.0558
1017
+ Bleu_3: 0.2006
1018
+ Bleu_3_w: 0.0412
1019
+ Bleu_4: 0.1551
1020
+ Bleu_4_w: 0.0319
1021
+ CIDEr: 0.7711
1022
+ CIDEr_w: 0.1584
1023
+ METEOR: 0.1843
1024
+ METEOR_w: 0.0379
1025
+
1026
+ All Finished! Time: 117.22 minutes
1027
+ Model: /fsx_0/user/imzyc/proact_exps/20240822-L4096-I5-ep4-NOSEP-nr0.1-klgmix-1s-lora-bs384-debug
1028
+ Runs:
1029
+ ego4d/dialog_val_L0_I5|stream|4k|0.05|summarize_and_drop
1030
+ ego4d/dialog_val_L0_I5|stream|4k|0.1|summarize_and_drop
1031
+ holoassist/dialog_val_L0_I5|stream|4k|0.1|summarize_and_drop
1032
+ epickitchens/dialog_val_L0_I5|stream|4k|0.1|summarize_and_drop
1033
+ egoexolearn/dialog_val_L0_I5|stream|4k|0.1|summarize_and_drop
1034
+ wtag/dialog_val_L0_I5|stream|4k|0.1|summarize_and_drop
1035
+ assembly101/dialog_val_L0_I5|stream|4k|0.1|summarize_and_drop
1036
+ ego4d/dialog_val_L0_I5|stream|4k|0.2|summarize_and_drop
1037
+ holoassist/dialog_val_L0_I5|stream|4k|0.2|summarize_and_drop
1038
+ epickitchens/dialog_val_L0_I5|stream|4k|0.2|summarize_and_drop
1039
+ egoexolearn/dialog_val_L0_I5|stream|4k|0.2|summarize_and_drop
1040
+ wtag/dialog_val_L0_I5|stream|4k|0.2|summarize_and_drop
1041
+ assembly101/dialog_val_L0_I5|stream|4k|0.2|summarize_and_drop
1042
+ ego4d/dialog_val_L0_I5|stream|4k|0.3|summarize_and_drop
1043
+ holoassist/dialog_val_L0_I5|stream|4k|0.3|summarize_and_drop
1044
+ epickitchens/dialog_val_L0_I5|stream|4k|0.3|summarize_and_drop
1045
+ egoexolearn/dialog_val_L0_I5|stream|4k|0.3|summarize_and_drop
1046
+ wtag/dialog_val_L0_I5|stream|4k|0.3|summarize_and_drop
1047
+ assembly101/dialog_val_L0_I5|stream|4k|0.3|summarize_and_drop
1048
+ ego4d/dialog_val_L0_I5|stream|4k|0.4|summarize_and_drop
1049
+ holoassist/dialog_val_L0_I5|stream|4k|0.4|summarize_and_drop
1050
+ epickitchens/dialog_val_L0_I5|stream|4k|0.4|summarize_and_drop
1051
+ egoexolearn/dialog_val_L0_I5|stream|4k|0.4|summarize_and_drop
1052
+ wtag/dialog_val_L0_I5|stream|4k|0.4|summarize_and_drop
1053
+ assembly101/dialog_val_L0_I5|stream|4k|0.4|summarize_and_drop
1054
+ ego4d/dialog_val_L0_I5|stream|4k|0.5|summarize_and_drop
1055
+ holoassist/dialog_val_L0_I5|stream|4k|0.5|summarize_and_drop
1056
+ epickitchens/dialog_val_L0_I5|stream|4k|0.5|summarize_and_drop
1057
+ egoexolearn/dialog_val_L0_I5|stream|4k|0.5|summarize_and_drop
1058
+ wtag/dialog_val_L0_I5|stream|4k|0.5|summarize_and_drop
1059
+ assembly101/dialog_val_L0_I5|stream|4k|0.5|summarize_and_drop
1060
+ sacct: error: _open_persist_conn: failed to open persistent connection to host:slurmdbd:6819: Connection refused
1061
+ sacct: error: Sending PersistInit msg: Connection refused
1062
+ sacct: error: Problem talking to the database: Connection refused
1063
+ submitit WARNING (2024-08-22 15:27:43,999) - Call #9 - Bypassing sacct error Command '['sacct', '-o', 'JobID,State,NodeList', '--parsable2', '-j', '14291']' returned non-zero exit status 1., status may be inaccurate.
1064
+ submitit WARNING (2024-08-22 15:27:43,999) - Call #9 - Bypassing sacct error Command '['sacct', '-o', 'JobID,State,NodeList', '--parsable2', '-j', '14291']' returned non-zero exit status 1., status may be inaccurate.
1065
+ Traceback (most recent call last):
1066
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 144, in <module>
1067
+ main(eval_args, slurm_args)
1068
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 133, in main
1069
+ job.results() # wait for the job to finish
1070
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1071
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1072
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1073
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1074
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1075
+ r = self.results()
1076
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1077
+ outcome, result = self._get_outcome_and_result()
1078
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1079
+ raise utils.UncompletedJobError("\n".join(message))
1080
+ submitit.core.utils.UncompletedJobError: Job 14293 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14293/14293_0_result.pkl
1081
+ has not produced any output (state: CANCELLED by 649731)
1082
+ Error stream produced:
1083
+ ----------------------------------------
1084
+
1085
+ Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
1086
+ Loading checkpoint shards: 25%|██▌ | 1/4 [00:13<00:40, 13.58s/it]
1087
+ Loading checkpoint shards: 50%|█████ | 2/4 [00:25<00:25, 12.90s/it]
1088
+ Loading checkpoint shards: 75%|███████▌ | 3/4 [00:38<00:12, 12.57s/it]
1089
+ Loading checkpoint shards: 100%|██████████| 4/4 [00:40<00:00, 8.70s/it]
1090
+ Loading checkpoint shards: 100%|██████████| 4/4 [00:40<00:00, 10.24s/it]
1091
+
1092
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]
1093
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 18.21it/s]
1094
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 18.17it/s]
1095
+
1096
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]
1097
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 19.59it/s]
1098
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 19.57it/s]
1099
+
1100
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]
1101
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 7.21it/s]
1102
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 7.20it/s]
1103
+
1104
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
1105
+
1106
+ Run predictions: 100%|██████████| 2/2 [03:32<00:00, 106.01s/it]
1107
+ Run predictions: 100%|██████████| 2/2 [03:32<00:00, 106.02s/it]
1108
+
1109
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]submitit WARNING (2024-08-22 15:50:23,530) - Bypassing signal SIGCONT
1110
+ slurmstepd: error: *** JOB 14293 ON h100-st-p548xlarge-13 CANCELLED AT 2024-08-22T15:50:23 ***
1111
+ slurmstepd: error: *** STEP 14293.0 ON h100-st-p548xlarge-13 CANCELLED AT 2024-08-22T15:50:23 ***
1112
+ submitit WARNING (2024-08-22 15:50:23,532) - Bypassing signal SIGTERM
1113
+
1114
+ Traceback (most recent call last):
1115
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 144, in <module>
1116
+ main(eval_args, slurm_args)
1117
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 133, in main
1118
+ job.results() # wait for the job to finish
1119
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1120
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1121
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1122
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1123
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1124
+ r = self.results()
1125
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1126
+ outcome, result = self._get_outcome_and_result()
1127
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1128
+ raise utils.UncompletedJobError("\n".join(message))
1129
+ submitit.core.utils.UncompletedJobError: Job 14350 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14350/14350_0_result.pkl
1130
+ has not produced any output (state: CANCELLED by 636977)
1131
+ Error stream produced:
1132
+ ----------------------------------------
1133
+
1134
+ Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
1135
+ Loading checkpoint shards: 25%|██▌ | 1/4 [00:14<00:42, 14.00s/it]
1136
+ Loading checkpoint shards: 50%|█████ | 2/4 [00:26<00:26, 13.26s/it]
1137
+ Loading checkpoint shards: 75%|███████▌ | 3/4 [00:38<00:12, 12.80s/it]
1138
+ Loading checkpoint shards: 100%|██████████| 4/4 [00:41<00:00, 8.88s/it]
1139
+ Loading checkpoint shards: 100%|██████████| 4/4 [00:41<00:00, 10.46s/it]
1140
+
1141
+ Run predictions: 0%| | 0/3 [00:00<?, ?it/s]
1142
+ Run predictions: 100%|██████████| 3/3 [00:00<00:00, 40.05it/s]
1143
+
1144
+ Run predictions: 0%| | 0/3 [00:00<?, ?it/s]
1145
+ Run predictions: 100%|██████████| 3/3 [00:00<00:00, 39.88it/s]
1146
+
1147
+ Run predictions: 0%| | 0/3 [00:00<?, ?it/s]
1148
+ Run predictions: 100%|██████████| 3/3 [00:00<00:00, 38.99it/s]
1149
+
1150
+ Run predictions: 0%| | 0/3 [00:00<?, ?it/s]
1151
+ Run predictions: 100%|██████████| 3/3 [00:00<00:00, 40.50it/s]
1152
+
1153
+ Run predictions: 0%| | 0/3 [00:00<?, ?it/s]
1154
+ Run predictions: 100%|██████████| 3/3 [00:00<00:00, 39.57it/s]
1155
+
1156
+ Run predictions: 0%| | 0/10 [00:00<?, ?it/s]We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
1157
+
1158
+ Run predictions: 50%|█████ | 5/10 [00:37<00:37, 7.54s/it]
1159
+ Run predictions: 60%|██████ | 6/10 [02:11<01:46, 26.67s/it]
1160
+ Run predictions: 70%|███████ | 7/10 [02:31<01:15, 25.16s/it]
1161
+ Run predictions: 80%|████████ | 8/10 [03:25<01:04, 32.38s/it]
1162
+ Run predictions: 90%|█████████ | 9/10 [03:49<00:30, 30.35s/it]
1163
+ Run predictions: 100%|██████████| 10/10 [03:57<00:00, 24.08s/it]
1164
+ Run predictions: 100%|██████████| 10/10 [03:57<00:00, 23.76s/it]
1165
+
1166
+ Run predictions: 0%| | 0/10 [00:00<?, ?it/s]
1167
+ Run predictions: 10%|█ | 1/10 [00:33<05:02, 33.64s/it]
1168
+ Run predictions: 20%|██ | 2/10 [01:01<04:02, 30.35s/it]
1169
+ Run predictions: 30%|███ | 3/10 [01:52<04:36, 39.51s/it]
1170
+ Run predictions: 40%|████ | 4/10 [02:32<03:57, 39.67s/it]
1171
+ Run predictions: 50%|█████ | 5/10 [03:25<03:43, 44.70s/it]
1172
+ Run predictions: 60%|██████ | 6/10 [04:58<04:04, 61.16s/it]
1173
+ Run predictions: 70%|███████ | 7/10 [05:20<02:24, 48.18s/it]
1174
+ Run predictions: 80%|████████ | 8/10 [06:17<01:42, 51.00s/it]
1175
+ Run predictions: 90%|█████████ | 9/10 [06:46<00:44, 44.09s/it]
1176
+ Run predictions: 100%|██████████| 10/10 [06:53<00:00, 32.75s/it]
1177
+ Run predictions: 100%|██████████| 10/10 [06:53<00:00, 41.35s/it]
1178
+
1179
+ Run predictions: 0%| | 0/10 [00:00<?, ?it/s]
1180
+ Run predictions: 10%|█ | 1/10 [00:44<06:37, 44.20s/it]
1181
+ Run predictions: 20%|██ | 2/10 [01:47<07:24, 55.58s/it]
1182
+ Run predictions: 30%|███ | 3/10 [02:34<06:01, 51.71s/it]
1183
+ Run predictions: 40%|████ | 4/10 [03:16<04:47, 47.92s/it]
1184
+ Run predictions: 50%|█████ | 5/10 [04:55<05:30, 66.06s/it]
1185
+ Run predictions: 60%|██████ | 6/10 [06:33<05:07, 76.86s/it]
1186
+ Run predictions: 70%|███████ | 7/10 [06:56<02:58, 59.52s/it]
1187
+ Run predictions: 80%|████████ | 8/10 [08:50<02:33, 76.82s/it]submitit WARNING (2024-08-22 18:25:01,469) - Bypassing signal SIGCONT
1188
+ slurmstepd: error: *** JOB 14350 ON h100-st-p548xlarge-100 CANCELLED AT 2024-08-22T18:25:01 ***
1189
+ slurmstepd: error: *** STEP 14350.0 ON h100-st-p548xlarge-100 CANCELLED AT 2024-08-22T18:25:01 ***
1190
+ submitit WARNING (2024-08-22 18:25:01,476) - Bypassing signal SIGTERM
1191
+
1192
+ Traceback (most recent call last):
1193
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 164, in <module>
1194
+ main(eval_args, slurm_args)
1195
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 153, in main
1196
+ job.results() # wait for the job to finish
1197
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1198
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1199
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1200
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1201
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1202
+ r = self.results()
1203
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1204
+ outcome, result = self._get_outcome_and_result()
1205
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1206
+ raise utils.UncompletedJobError("\n".join(message))
1207
+ submitit.core.utils.UncompletedJobError: Job 14390 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14390/14390_0_result.pkl
1208
+ has not produced any output (state: NODE_FAIL)
1209
+ No output/error stream produced ! Check: /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14390/14390_0_log.out
1210
+ Traceback (most recent call last):
1211
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 164, in <module>
1212
+ main(eval_args, slurm_args)
1213
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 153, in main
1214
+ job.results() # wait for the job to finish
1215
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1216
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1217
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1218
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1219
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1220
+ r = self.results()
1221
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1222
+ outcome, result = self._get_outcome_and_result()
1223
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1224
+ raise utils.UncompletedJobError("\n".join(message))
1225
+ submitit.core.utils.UncompletedJobError: Job 14391 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14391/14391_0_result.pkl
1226
+ has not produced any output (state: NODE_FAIL)
1227
+ No output/error stream produced ! Check: /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14391/14391_0_log.out
1228
+ Traceback (most recent call last):
1229
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 164, in <module>
1230
+ print(f"Runs:\n{runs}")
1231
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 153, in main
1232
+ )
1233
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1234
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1235
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1236
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1237
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1238
+ r = self.results()
1239
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1240
+ outcome, result = self._get_outcome_and_result()
1241
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1242
+ raise utils.UncompletedJobError("\n".join(message))
1243
+ submitit.core.utils.UncompletedJobError: Job 14393 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14393/14393_0_result.pkl
1244
+ has not produced any output (state: NODE_FAIL)
1245
+ Error stream produced:
1246
+ ----------------------------------------
1247
+ slurmstepd: error: *** JOB 14393 ON h100-st-p548xlarge-129 CANCELLED AT 2024-08-22T20:08:33 DUE TO NODE FAILURE, SEE SLURMCTLD LOG FOR DETAILS ***
1248
+
1249
+ sbatch: error: Batch job submission failed: Invalid node name specified
1250
+ subprocess.CalledProcessError: Command '['sbatch', '/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/submission_file_d6a19adc4ffa4a628e5fafb456cb8832.sh']' returned non-zero exit status 1.
1251
+
1252
+ The above exception was the direct cause of the following exception:
1253
+
1254
+ Traceback (most recent call last):
1255
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 170, in <module>
1256
+ main(eval_args, slurm_args)
1257
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 158, in main
1258
+ job = executor.submit(run_eval, eval_args, "slurm_inference", verbose=True)
1259
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 734, in submit
1260
+ job = self._internal_process_submissions([ds])[0]
1261
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/auto/auto.py", line 218, in _internal_process_submissions
1262
+ return self._executor._internal_process_submissions(delayed_submissions)
1263
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/slurm/slurm.py", line 317, in _internal_process_submissions
1264
+ return super()._internal_process_submissions(delayed_submissions)
1265
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 893, in _internal_process_submissions
1266
+ job = self._submit_command(self._submitit_command_str)
1267
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 934, in _submit_command
1268
+ output = utils.CommandFunction(command_list, verbose=False)() # explicit errors
1269
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/utils.py", line 354, in __call__
1270
+ raise FailedJobError(stderr) from subprocess_error
1271
+ submitit.core.utils.FailedJobError: sbatch: error: Batch job submission failed: Invalid node name specified
1272
+ sbatch: error: Batch job submission failed: Invalid node name specified
1273
+ subprocess.CalledProcessError: Command '['sbatch', '/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/submission_file_b1632bebd8ee497f9f186b483d3918b7.sh']' returned non-zero exit status 1.
1274
+
1275
+ The above exception was the direct cause of the following exception:
1276
+
1277
+ Traceback (most recent call last):
1278
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 170, in <module>
1279
+ main(eval_args, slurm_args)
1280
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 158, in main
1281
+ job = executor.submit(run_eval, eval_args, "slurm_inference", verbose=True)
1282
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 734, in submit
1283
+ job = self._internal_process_submissions([ds])[0]
1284
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/auto/auto.py", line 218, in _internal_process_submissions
1285
+ return self._executor._internal_process_submissions(delayed_submissions)
1286
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/slurm/slurm.py", line 317, in _internal_process_submissions
1287
+ return super()._internal_process_submissions(delayed_submissions)
1288
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 893, in _internal_process_submissions
1289
+ job = self._submit_command(self._submitit_command_str)
1290
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 934, in _submit_command
1291
+ output = utils.CommandFunction(command_list, verbose=False)() # explicit errors
1292
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/utils.py", line 354, in __call__
1293
+ raise FailedJobError(stderr) from subprocess_error
1294
+ submitit.core.utils.FailedJobError: sbatch: error: Batch job submission failed: Invalid node name specified
1295
+ Traceback (most recent call last):
1296
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 170, in <module>
1297
+ main(eval_args, slurm_args)
1298
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 159, in main
1299
+ job.results() # wait for the job to finish
1300
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1301
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1302
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1303
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1304
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1305
+ r = self.results()
1306
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1307
+ outcome, result = self._get_outcome_and_result()
1308
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1309
+ raise utils.UncompletedJobError("\n".join(message))
1310
+ submitit.core.utils.UncompletedJobError: Job 14416 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14416/14416_0_result.pkl
1311
+ has not produced any output (state: NODE_FAIL)
1312
+ Error stream produced:
1313
+ ----------------------------------------
1314
+ slurmstepd: error: *** JOB 14416 ON h100-st-p548xlarge-2 CANCELLED AT 2024-08-22T21:17:45 DUE TO NODE FAILURE, SEE SLURMCTLD LOG FOR DETAILS ***
1315
+
1316
+ Traceback (most recent call last):
1317
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 170, in <module>
1318
+ main(eval_args, slurm_args)
1319
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 159, in main
1320
+ job.results() # wait for the job to finish
1321
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1322
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1323
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1324
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1325
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1326
+ r = self.results()
1327
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1328
+ outcome, result = self._get_outcome_and_result()
1329
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1330
+ raise utils.UncompletedJobError("\n".join(message))
1331
+ submitit.core.utils.UncompletedJobError: Job 14419 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14419/14419_0_result.pkl
1332
+ has not produced any output (state: NODE_FAIL)
1333
+ No output/error stream produced ! Check: /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14419/14419_0_log.out
1334
+ Traceback (most recent call last):
1335
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 167, in <module>
1336
+ main(eval_args, slurm_args)
1337
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 156, in main
1338
+ job.results() # wait for the job to finish
1339
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1340
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1341
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1342
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1343
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1344
+ r = self.results()
1345
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1346
+ outcome, result = self._get_outcome_and_result()
1347
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1348
+ raise utils.UncompletedJobError("\n".join(message))
1349
+ submitit.core.utils.UncompletedJobError: Job 14650 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14650/14650_0_result.pkl
1350
+ has not produced any output (state: NODE_FAIL)
1351
+ Error stream produced:
1352
+ ----------------------------------------
1353
+ slurmstepd: error: *** JOB 14650 ON h100-st-p548xlarge-2 CANCELLED AT 2024-08-23T04:38:10 DUE TO NODE FAILURE, SEE SLURMCTLD LOG FOR DETAILS ***
1354
+ slurmstepd: error: *** JOB 14650 ON h100-st-p548xlarge-2 CANCELLED AT 2024-08-23T04:48:27 DUE TO NODE FAILURE, SEE SLURMCTLD LOG FOR DETAILS ***
1355
+
1356
+ Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
1357
+ Loading checkpoint shards: 25%|██▌ | 1/4 [00:14<00:42, 14.04s/it]
1358
+ Loading checkpoint shards: 50%|█████ | 2/4 [00:27<00:26, 13.45s/it]srun: error: slurm_receive_msgs: [[ip-10-200-21-218.us-east-2.compute.internal]:41498] failed: Socket timed out on send/recv operation
1359
+ srun: error: Task launch for StepId=14650.0 failed on node h100-st-p548xlarge-130: Socket timed out on send/recv operation
1360
+ srun: error: Application launch failed: Socket timed out on send/recv operation
1361
+ srun: Job step aborted: Waiting up to 32 seconds for job step to finish.
1362
+
1363
+ Loading checkpoint shards: 75%|███████▌ | 3/4 [00:39<00:12, 12.81s/it]
1364
+ Loading checkpoint shards: 100%|██████████| 4/4 [00:41<00:00, 8.85s/it]
1365
+ Loading checkpoint shards: 100%|██████████| 4/4 [00:41<00:00, 10.48s/it]
1366
+
1367
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]
1368
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 39.79it/s]
1369
+
1370
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]
1371
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 40.66it/s]
1372
+
1373
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]
1374
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 40.75it/s]
1375
+
1376
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]
1377
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 41.06it/s]
1378
+
1379
+ Run predictions: 0%| | 0/2 [00:00<?, ?it/s]
1380
+ Run predictions: 100%|██████████| 2/2 [00:00<00:00, 38.21it/s]
1381
+
1382
+ Run predictions: 0%| | 0/5 [00:00<?, ?it/s]
1383
+ Run predictions: 100%|██████████| 5/5 [00:00<00:00, 54.16it/s]
1384
+
1385
+ Run predictions: 0%| | 0/5 [00:00<?, ?it/s]
1386
+ Run predictions: 100%|██████████| 5/5 [00:00<00:00, 53.90it/s]
1387
+
1388
+ Run predictions: 0%| | 0/5 [00:00<?, ?it/s]We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
1389
+ srun: error: Timed out waiting for job step to complete
1390
+ slurmstepd: error: *** STEP 14650.0 ON h100-st-p548xlarge-2 FAILED (non-zero exit code or other failure mode) ***
1391
+ submitit WARNING (2024-08-23 04:54:52,019) - Bypassing signal SIGCONT
1392
+ submitit WARNING (2024-08-23 04:54:52,020) - Bypassing signal SIGTERM
1393
+ slurmstepd: error: Failed to send MESSAGE_TASK_EXIT: Connection refused
1394
+
1395
+ Traceback (most recent call last):
1396
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 165, in <module>
1397
+ main(eval_args, slurm_args)
1398
+ File "/opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/mmassist/eval/eval.py", line 154, in main
1399
+ job.results() # wait for the job to finish
1400
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in results
1401
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1402
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 287, in <listcomp>
1403
+ return [tp.cast(R, sub_job.result()) for sub_job in self._sub_jobs]
1404
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 266, in result
1405
+ r = self.results()
1406
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 289, in results
1407
+ outcome, result = self._get_outcome_and_result()
1408
+ File "/data/home/imzyc/miniconda3/envs/mm/lib/python3.10/site-packages/submitit/core/core.py", line 384, in _get_outcome_and_result
1409
+ raise utils.UncompletedJobError("\n".join(message))
1410
+ submitit.core.utils.UncompletedJobError: Job 14932 (task: 0) with path /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14932/14932_0_result.pkl
1411
+ has not produced any output (state: NODE_FAIL)
1412
+ No output/error stream produced ! Check: /opt/hpcaas/.mounts/fs-036153e63d56f4dc2/home/imzyc/project/proactive-assist/slurm_logs/14932/14932_0_log.out
1413
+ Model: /fsx_0/user/imzyc/proact_exps/20240822-L4096-I5-ep4-NOSEP-nr0.1-klgmix-1s-lora-bs384-debug
1414
+ {'assembly101/dialog-klg_test_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
1415
+ 'eval_max_seq_len': 4096,
1416
+ 'eval_max_seq_len_str': '4k',
1417
+ 'inference_runner_type': 'stream',
1418
+ 'not_talk_threshold': 0.3}]},
1419
+ 'ego4d/dialog-klg_test_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
1420
+ 'eval_max_seq_len': 4096,
1421
+ 'eval_max_seq_len_str': '4k',
1422
+ 'inference_runner_type': 'stream',
1423
+ 'not_talk_threshold': 0.3}]},
1424
+ 'egoexolearn/dialog-klg_test_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
1425
+ 'eval_max_seq_len': 4096,
1426
+ 'eval_max_seq_len_str': '4k',
1427
+ 'inference_runner_type': 'stream',
1428
+ 'not_talk_threshold': 0.4}]},
1429
+ 'epickitchens/dialog-klg_test_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
1430
+ 'eval_max_seq_len': 4096,
1431
+ 'eval_max_seq_len_str': '4k',
1432
+ 'inference_runner_type': 'stream',
1433
+ 'not_talk_threshold': 0.2}]},
1434
+ 'holoassist/dialog-klg_test_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
1435
+ 'eval_max_seq_len': 4096,
1436
+ 'eval_max_seq_len_str': '4k',
1437
+ 'inference_runner_type': 'stream',
1438
+ 'not_talk_threshold': 0.3}]},
1439
+ 'wtag/dialog-klg_test_L0_I5': {'stream': [{'context_handling_method': 'summarize_and_drop',
1440
+ 'eval_max_seq_len': 4096,
1441
+ 'eval_max_seq_len_str': '4k',
1442
+ 'inference_runner_type': 'stream',
1443
+ 'not_talk_threshold': 0.5}]}}
1444
+ Evaluation datasets:
1445
+ * ego4d/dialog-klg_test | num samples: 99
1446
+
1447
+ Updating eval setup: inference_runner_type: None -> stream
1448
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.3
1449
+ Evalulation: ego4d-dialog-klg_test_L0_I5/stream/notalk0.3-maxlen_4k
1450
+ Metrics:
1451
+ jaccard_index: 0.2215
1452
+ missing_rate: 0.4983
1453
+ redundant_rate: 0.5262
1454
+ semantic_score: 0.6923
1455
+ time_diff: 1.5123
1456
+ precision: 0.3258
1457
+ recall: 0.3450
1458
+ F1: 0.3351
1459
+ num_matched: 1741.0000
1460
+ num_mismatched: 791.0000
1461
+ num_missed: 2515.0000
1462
+ num_redundant: 2812.0000
1463
+ Bleu_1: 0.3835
1464
+ Bleu_1_w: 0.0850
1465
+ Bleu_2: 0.2653
1466
+ Bleu_2_w: 0.0588
1467
+ Bleu_3: 0.1941
1468
+ Bleu_3_w: 0.0430
1469
+ Bleu_4: 0.1485
1470
+ Bleu_4_w: 0.0329
1471
+ CIDEr: 0.8355
1472
+ CIDEr_w: 0.1851
1473
+ METEOR: 0.1879
1474
+ METEOR_w: 0.0416
1475
+
1476
+ Evaluation datasets:
1477
+ * epickitchens/dialog-klg_test | num samples: 150
1478
+
1479
+ Updating eval setup: inference_runner_type: None -> stream
1480
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.2
1481
+ Evalulation: epickitchens-dialog-klg_test_L0_I5/stream/notalk0.2-maxlen_4k
1482
+ Metrics:
1483
+ jaccard_index: 0.2144
1484
+ missing_rate: 0.5547
1485
+ redundant_rate: 0.3526
1486
+ semantic_score: 0.6676
1487
+ time_diff: 0.5445
1488
+ precision: 0.3873
1489
+ recall: 0.2664
1490
+ F1: 0.3157
1491
+ num_matched: 1607.0000
1492
+ num_mismatched: 1079.0000
1493
+ num_missed: 3346.0000
1494
+ num_redundant: 1463.0000
1495
+ Bleu_1: 0.3977
1496
+ Bleu_1_w: 0.0853
1497
+ Bleu_2: 0.2734
1498
+ Bleu_2_w: 0.0586
1499
+ Bleu_3: 0.2000
1500
+ Bleu_3_w: 0.0429
1501
+ Bleu_4: 0.1550
1502
+ Bleu_4_w: 0.0332
1503
+ CIDEr: 1.0101
1504
+ CIDEr_w: 0.2166
1505
+ METEOR: 0.1894
1506
+ METEOR_w: 0.0406
1507
+
1508
+ Evaluation datasets:
1509
+ * holoassist/dialog-klg_test | num samples: 291
1510
+
1511
+ Updating eval setup: inference_runner_type: None -> stream
1512
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.3
1513
+ Evalulation: holoassist-dialog-klg_test_L0_I5/stream/notalk0.3-maxlen_4k
1514
+ Metrics:
1515
+ jaccard_index: 0.2842
1516
+ missing_rate: 0.5910
1517
+ redundant_rate: 0.0834
1518
+ semantic_score: 0.7066
1519
+ time_diff: 0.2819
1520
+ precision: 0.6606
1521
+ recall: 0.2948
1522
+ F1: 0.4076
1523
+ num_matched: 4105.0000
1524
+ num_mismatched: 1591.0000
1525
+ num_missed: 8230.0000
1526
+ num_redundant: 518.0000
1527
+ Bleu_1: 0.4468
1528
+ Bleu_1_w: 0.1270
1529
+ Bleu_2: 0.3305
1530
+ Bleu_2_w: 0.0939
1531
+ Bleu_3: 0.2574
1532
+ Bleu_3_w: 0.0731
1533
+ Bleu_4: 0.2054
1534
+ Bleu_4_w: 0.0584
1535
+ CIDEr: 1.3007
1536
+ CIDEr_w: 0.3696
1537
+ METEOR: 0.2151
1538
+ METEOR_w: 0.0611
1539
+
1540
+ Evaluation datasets:
1541
+ * egoexolearn/dialog-klg_test | num samples: 123
1542
+
1543
+ Updating eval setup: inference_runner_type: None -> stream
1544
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.4
1545
+ Evalulation: egoexolearn-dialog-klg_test_L0_I5/stream/notalk0.4-maxlen_4k
1546
+ Metrics:
1547
+ jaccard_index: 0.1634
1548
+ missing_rate: 0.6318
1549
+ redundant_rate: 0.5117
1550
+ semantic_score: 0.6693
1551
+ time_diff: 0.6571
1552
+ precision: 0.3003
1553
+ recall: 0.2264
1554
+ F1: 0.2582
1555
+ num_matched: 2730.0000
1556
+ num_mismatched: 1710.0000
1557
+ num_missed: 7618.0000
1558
+ num_redundant: 4652.0000
1559
+ Bleu_1: 0.3995
1560
+ Bleu_1_w: 0.0653
1561
+ Bleu_2: 0.2734
1562
+ Bleu_2_w: 0.0447
1563
+ Bleu_3: 0.1992
1564
+ Bleu_3_w: 0.0325
1565
+ Bleu_4: 0.1510
1566
+ Bleu_4_w: 0.0247
1567
+ CIDEr: 0.8387
1568
+ CIDEr_w: 0.1370
1569
+ METEOR: 0.1802
1570
+ METEOR_w: 0.0294
1571
+
1572
+ Evaluation datasets:
1573
+ * assembly101/dialog-klg_test | num samples: 336
1574
+
1575
+ Updating eval setup: inference_runner_type: None -> stream
1576
+ Updating eval setup: not_talk_threshold: 0.5 -> 0.3
1577
+ Evalulation: assembly101-dialog-klg_test_L0_I5/stream/notalk0.3-maxlen_4k
1578
+ Metrics:
1579
+ jaccard_index: 0.2835
1580
+ missing_rate: 0.4738
1581
+ redundant_rate: 0.2770
1582
+ semantic_score: 0.7053
1583
+ time_diff: 0.6322
1584
+ precision: 0.4681
1585
+ recall: 0.3407
1586
+ F1: 0.3944
1587
+ num_matched: 2814.0000
1588
+ num_mismatched: 1532.0000
1589
+ num_missed: 3914.0000
1590
+ num_redundant: 1665.0000
1591
+ Bleu_1: 0.4403
1592
+ Bleu_1_w: 0.1249
1593
+ Bleu_2: 0.3314
1594
+ Bleu_2_w: 0.0939
1595
+ Bleu_3: 0.2589
1596
+ Bleu_3_w: 0.0734
1597
+ Bleu_4: 0.2095
1598
+ Bleu_4_w: 0.0594
1599
+ CIDEr: 1.1329
1600
+ CIDEr_w: 0.3212
1601
+ METEOR: 0.2114
1602
+ METEOR_w: 0.0599
1603
+
1604
+ Evaluation datasets:
1605
+ * wtag/dialog-klg_test | num samples: 21
1606
+
1607
+ Updating eval setup: inference_runner_type: None -> stream
1608
+ Evalulation: wtag-dialog-klg_test_L0_I5/stream/notalk0.5-maxlen_4k
1609
+ Metrics:
1610
+ jaccard_index: 0.2215
1611
+ missing_rate: 0.3536
1612
+ redundant_rate: 0.3931
1613
+ semantic_score: 0.6719
1614
+ time_diff: 1.4128
1615
+ precision: 0.2950
1616
+ recall: 0.3142
1617
+ F1: 0.3043
1618
+ num_matched: 367.0000
1619
+ num_mismatched: 388.0000
1620
+ num_missed: 413.0000
1621
+ num_redundant: 489.0000
1622
+ Bleu_1: 0.3966
1623
+ Bleu_1_w: 0.0879
1624
+ Bleu_2: 0.2880
1625
+ Bleu_2_w: 0.0638
1626
+ Bleu_3: 0.2202
1627
+ Bleu_3_w: 0.0488
1628
+ Bleu_4: 0.1728
1629
+ Bleu_4_w: 0.0383
1630
+ CIDEr: 1.2909
1631
+ CIDEr_w: 0.2859
1632
+ METEOR: 0.2019
1633
+ METEOR_w: 0.0447
1634
+
1635
+ All Finished! Time: 24.86 minutes
1636
+ Model: /fsx_0/user/imzyc/proact_exps/20240822-L4096-I5-ep4-NOSEP-nr0.1-klgmix-1s-lora-bs384-debug
1637
+ Runs:
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1639
+ epickitchens/dialog-klg_test_L0_I5|stream|4k|0.2|summarize_and_drop
1640
+ holoassist/dialog-klg_test_L0_I5|stream|4k|0.3|summarize_and_drop
1641
+ egoexolearn/dialog-klg_test_L0_I5|stream|4k|0.4|summarize_and_drop
1642
+ assembly101/dialog-klg_test_L0_I5|stream|4k|0.3|summarize_and_drop
1643
+ wtag/dialog-klg_test_L0_I5|stream|4k|0.5|summarize_and_drop
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+ "content": "<|reserved_special_token_244|>",
2021
+ "lstrip": false,
2022
+ "normalized": false,
2023
+ "rstrip": false,
2024
+ "single_word": false,
2025
+ "special": true
2026
+ },
2027
+ "128253": {
2028
+ "content": "<|reserved_special_token_245|>",
2029
+ "lstrip": false,
2030
+ "normalized": false,
2031
+ "rstrip": false,
2032
+ "single_word": false,
2033
+ "special": true
2034
+ },
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+ "128254": {
2036
+ "content": "<|reserved_special_token_246|>",
2037
+ "lstrip": false,
2038
+ "normalized": false,
2039
+ "rstrip": false,
2040
+ "single_word": false,
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+ "special": true
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+ },
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+ "128255": {
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+ "content": "<|reserved_special_token_247|>",
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+ "lstrip": false,
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2048
+ "single_word": false,
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+ "special": true
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+ },
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+ "128256": {
2052
+ "content": "<image>",
2053
+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
2057
+ "special": true
2058
+ }
2059
+ },
2060
+ "additional_special_tokens": [
2061
+ "<image>"
2062
+ ],
2063
+ "bos_token": "<|begin_of_text|>",
2064
+ "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
2065
+ "clean_up_tokenization_spaces": true,
2066
+ "eos_token": "<|eot_id|>",
2067
+ "model_input_names": [
2068
+ "input_ids",
2069
+ "attention_mask"
2070
+ ],
2071
+ "model_max_length": 131072,
2072
+ "pad_token": "<|eot_id|>",
2073
+ "padding_side": "right",
2074
+ "tokenizer_class": "PreTrainedTokenizerFast"
2075
+ }
train.log ADDED
The diff for this file is too large to render. See raw diff
 
training_args.bin ADDED
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