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@@ -104,96 +104,16 @@ Use the code below to get started with the model.
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  <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
 
 
 
 
 
 
 
 
 
 
 
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- ## Environmental Impact
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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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- 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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- - **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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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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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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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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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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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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  <!-- This section describes the evaluation protocols and provides the results. -->
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+ hf-causal-experimental (pretrained=T3Q-LLM/T3Q-LLM2-FP-v1.0,use_accelerate=true,trust_remote_code=true), limit: None, provide_description: False, num_fewshot: 50, batch_size: 1
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+ | Task |Version| Metric |Value | |Stderr|
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+ |----------------|------:|--------|-----:|---|-----:|
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+ |kobest_boolq | 0|acc |0.9466|± |0.0060|
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+ | | |macro_f1|0.9466|± |0.0060|
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+ |kobest_copa | 0|acc |0.8680|± |0.0107|
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+ | | |macro_f1|0.8678|± |0.0107|
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+ |kobest_hellaswag| 0|acc |0.5020|± |0.0224|
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+ | | |acc_norm|0.5540|± |0.0223|
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+ | | |macro_f1|0.5007|± |0.0223|
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+ |kobest_sentineg | 0|acc |0.9521|± |0.0107|
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+ | | |macro_f1|0.9521|± |0.0108|
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