transformers safetensors mistral text-generation arxiv:1910.09700 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
library_name: transformers
tags: []
---

# Model Card for Model ID

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## Model Details

### Model Description

|    Tasks    |Version|Filter|n-shot| Metric |Value |   |Stderr|
|-------------|------:|------|-----:|--------|-----:|---|-----:|
|arc_challenge|      1|none  |    25|acc     |0.1775|±  |0.0112|
|             |       |none  |    25|acc_norm|0.2065|±  |0.0118|
|truthfulqa_mc2|      2|none  |     0|acc   |0.4633|±  |0.0155|
|winogrande|      1|none  |     5|acc   |0.5075|±  |0.0141|
|hellaswag|      1|none  |    10|acc     |0.2685|±  |0.0044|
|         |       |none  |    10|acc_norm|0.2746|±  |0.0045|
|gsm8k|      3|strict-match    |     5|exact_match|0.0023|±  |0.0013|
|     |       |flexible-extract|     5|exact_match|0.0152|±  |0.0034|

(0.26113333333333333, 0.004443523026985591)
|               Tasks               |Version|Filter|n-shot|Metric|Value |   |Stderr|
|-----------------------------------|------:|------|-----:|------|-----:|---|-----:|
|world_religions                    |      0|none  |     5|acc   |0.2047|±  |0.0309|
|virology                           |      0|none  |     5|acc   |0.1807|±  |0.0300|
|us_foreign_policy                  |      0|none  |     5|acc   |0.2700|±  |0.0446|
|sociology                          |      0|none  |     5|acc   |0.2488|±  |0.0306|
|security_studies                   |      0|none  |     5|acc   |0.3347|±  |0.0302|
|public_relations                   |      0|none  |     5|acc   |0.2273|±  |0.0401|
|professional_psychology            |      0|none  |     5|acc   |0.2042|±  |0.0163|
|professional_medicine              |      0|none  |     5|acc   |0.4485|±  |0.0302|
|professional_law                   |      0|none  |     5|acc   |0.2458|±  |0.0110|
|professional_accounting            |      0|none  |     5|acc   |0.2163|±  |0.0246|
|prehistory                         |      0|none  |     5|acc   |0.2222|±  |0.0231|
|philosophy                         |      0|none  |     5|acc   |0.2379|±  |0.0242|
|nutrition                          |      0|none  |     5|acc   |0.2810|±  |0.0257|
|moral_scenarios                    |      0|none  |     5|acc   |0.2659|±  |0.0148|
|moral_disputes                     |      0|none  |     5|acc   |0.2428|±  |0.0231|
|miscellaneous                      |      0|none  |     5|acc   |0.2375|±  |0.0152|
|medical_genetics                   |      0|none  |     5|acc   |0.3000|±  |0.0461|
|marketing                          |      0|none  |     5|acc   |0.1966|±  |0.0260|
|management                         |      0|none  |     5|acc   |0.1553|±  |0.0359|
|machine_learning                   |      0|none  |     5|acc   |0.3304|±  |0.0446|
|logical_fallacies                  |      0|none  |     5|acc   |0.2331|±  |0.0332|
|jurisprudence                      |      0|none  |     5|acc   |0.2407|±  |0.0413|
|international_law                  |      0|none  |     5|acc   |0.3306|±  |0.0429|
|human_sexuality                    |      0|none  |     5|acc   |0.2595|±  |0.0384|
|human_aging                        |      0|none  |     5|acc   |0.2063|±  |0.0272|
|high_school_world_history          |      0|none  |     5|acc   |0.2658|±  |0.0288|
|high_school_us_history             |      0|none  |     5|acc   |0.2745|±  |0.0313|
|high_school_statistics             |      0|none  |     5|acc   |0.4722|±  |0.0340|
|high_school_psychology             |      0|none  |     5|acc   |0.2330|±  |0.0181|
|high_school_physics                |      0|none  |     5|acc   |0.3311|±  |0.0384|
|high_school_microeconomics         |      0|none  |     5|acc   |0.3403|±  |0.0308|
|high_school_mathematics            |      0|none  |     5|acc   |0.2630|±  |0.0268|
|high_school_macroeconomics         |      0|none  |     5|acc   |0.3205|±  |0.0237|
|high_school_government_and_politics|      0|none  |     5|acc   |0.3679|±  |0.0348|
|high_school_geography              |      0|none  |     5|acc   |0.3283|±  |0.0335|
|high_school_european_history       |      0|none  |     5|acc   |0.2606|±  |0.0343|
|high_school_computer_science       |      0|none  |     5|acc   |0.2800|±  |0.0451|
|high_school_chemistry              |      0|none  |     5|acc   |0.2956|±  |0.0321|
|high_school_biology                |      0|none  |     5|acc   |0.3194|±  |0.0265|
|global_facts                       |      0|none  |     5|acc   |0.1600|±  |0.0368|
|formal_logic                       |      0|none  |     5|acc   |0.1825|±  |0.0346|
|elementary_mathematics             |      0|none  |     5|acc   |0.2487|±  |0.0223|
|electrical_engineering             |      0|none  |     5|acc   |0.2966|±  |0.0381|
|econometrics                       |      0|none  |     5|acc   |0.2632|±  |0.0414|
|conceptual_physics                 |      0|none  |     5|acc   |0.2553|±  |0.0285|
|computer_security                  |      0|none  |     5|acc   |0.1800|±  |0.0386|
|college_physics                    |      0|none  |     5|acc   |0.2451|±  |0.0428|
|college_medicine                   |      0|none  |     5|acc   |0.2312|±  |0.0321|
|college_mathematics                |      0|none  |     5|acc   |0.3200|±  |0.0469|
|college_computer_science           |      0|none  |     5|acc   |0.3000|±  |0.0461|
|college_chemistry                  |      0|none  |     5|acc   |0.1800|±  |0.0386|
|college_biology                    |      0|none  |     5|acc   |0.2778|±  |0.0375|
|clinical_knowledge                 |      0|none  |     5|acc   |0.2340|±  |0.0261|
|business_ethics                    |      0|none  |     5|acc   |0.2100|±  |0.0409|
|astronomy                          |      0|none  |     5|acc   |0.1776|±  |0.0311|
|anatomy                            |      0|none  |     5|acc   |0.2296|±  |0.0363|
|abstract_algebra                   |      0|none  |     5|acc   |0.2200|±  |0.0416|

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## Uses

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## Training Details

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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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