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#### Training Hyperparameters
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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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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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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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[More Information Needed]
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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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[More Information Needed]
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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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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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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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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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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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[More Information Needed]
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**APA:**
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[More Information Needed]
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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 Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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---
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license: apache-2.0
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language:
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- fr
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model-index:
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- name: legml-v0.1
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: gpqa-fr
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type: ai2_arc
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config: le-leadboard/gpqa-fr
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc
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value: 16.49
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name: accuracy
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval-fr
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type: le-leadboard/IFEval-fr
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc
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value: 14.68
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name: accuracy
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMMLU-fr
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type: le-leadboard/MMMLU-fr
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 68.31
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name: accuracy
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: bbh-fr
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type: le-leadboard/bbh-fr
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: acc
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name: accuracy
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value: 37.17
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: musr-fr
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type: le-leadboard/musr-fr
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config: le-leadboard/musr-fr
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 9.93
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name: accuracy
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH_LVL5_fr
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type: le-leadboard/MATH_LVL5_fr
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config: le-leadboard/MATH_LVL5_fr
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 22.27
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name: accuracy
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---
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