crumb/askmistral-2-15-tophalf-111m

Model

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0

6 commits

1 linked in READMEs

updated Mar 1, 2024

See the code

README

Model Card for Model ID

Model Details

Model Description

TasksVersionFiltern-shotMetricValueStderr
arc_challenge1none25acc0.1775±0.0112
none25acc_norm0.2150±0.0120
truthfulqa_mc22none0acc0.4571±0.0154
winogrande1none5acc0.5107±0.014
hellaswag1none10acc0.2735±0.0044
none10acc_norm0.2801±0.0045
gsm8k3strict-match5exact_match0.0030±0.0015
flexible-extract5exact_match0.0099±0.0027

(0.25676491228070175, 0.004430608580958243)

TasksVersionFiltern-shotMetricValueStderr
world_religions0none5acc0.2281±0.0322
virology0none5acc0.2289±0.0327
us_foreign_policy0none5acc0.3000±0.0461
sociology0none5acc0.2438±0.0304
security_studies0none5acc0.2327±0.0270
public_relations0none5acc0.2091±0.0390
professional_psychology0none5acc0.2516±0.0176
professional_medicine0none5acc0.4522±0.0302
professional_law0none5acc0.2484±0.0110
professional_accounting0none5acc0.2518±0.0259
prehistory0none5acc0.2654±0.0246
philosophy0none5acc0.2315±0.0240
nutrition0none5acc0.2059±0.0232
moral_scenarios0none5acc0.2380±0.0142
moral_disputes0none5acc0.2486±0.0233
miscellaneous0none5acc0.2874±0.0162
medical_genetics0none5acc0.2900±0.0456
marketing0none5acc0.2009±0.0262
management0none5acc0.1845±0.0384
machine_learning0none5acc0.2857±0.0429
logical_fallacies0none5acc0.3190±0.0366
jurisprudence0none5acc0.2685±0.0428
international_law0none5acc0.2149±0.0375
human_sexuality0none5acc0.2137±0.0360
human_aging0none5acc0.2466±0.0289
high_school_world_history0none5acc0.2616±0.0286
high_school_us_history0none5acc0.2402±0.0300
high_school_statistics0none5acc0.4722±0.0340
high_school_psychology0none5acc0.2128±0.0175
high_school_physics0none5acc0.2781±0.0366
high_school_microeconomics0none5acc0.3067±0.0300
high_school_mathematics0none5acc0.2630±0.0268
high_school_macroeconomics0none5acc0.2590±0.0222
high_school_government_and_politics0none5acc0.3005±0.0331
high_school_geography0none5acc0.3030±0.0327
high_school_european_history0none5acc0.2667±0.0345
high_school_computer_science0none5acc0.2900±0.0456
high_school_chemistry0none5acc0.2956±0.0321
high_school_biology0none5acc0.2871±0.0257
global_facts0none5acc0.2600±0.0441
formal_logic0none5acc0.1667±0.0333
elementary_mathematics0none5acc0.2566±0.0225
electrical_engineering0none5acc0.2414±0.0357
econometrics0none5acc0.2719±0.0419
conceptual_physics0none5acc0.3319±0.0308
computer_security0none5acc0.2000±0.0402
college_physics0none5acc0.1863±0.0387
college_medicine0none5acc0.1965±0.0303
college_mathematics0none5acc0.2700±0.0446
college_computer_science0none5acc0.2300±0.0423
college_chemistry0none5acc0.2000±0.0402
college_biology0none5acc0.2431±0.0359
clinical_knowledge0none5acc0.2226±0.0256
business_ethics0none5acc0.2100±0.0409
astronomy0none5acc0.1842±0.0315
anatomy0none5acc0.3407±0.0409
abstract_algebra0none5acc0.2400±0.0429
  • Developed by: me
  • Funded by [optional]: nobody
  • Shared by [optional]: me
  • Model type: mistral
  • Language(s) (NLP): english (pile)
  • License: apache
  • Finetuned from model [optional]: none

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

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endpoints_compatible
mistral
safetensors
text-generation
text-generation-inference
transformers

crumb/askmistral-2-15-tophalf-111m

Model

Model Card for Model ID

0

6 commits

1 linked in READMEs

updated Mar 1, 2024

See the code

README

Model Card for Model ID

Model Details

Model Description

TasksVersionFiltern-shotMetricValueStderr
arc_challenge1none25acc0.1775±0.0112
none25acc_norm0.2150±0.0120
truthfulqa_mc22none0acc0.4571±0.0154
winogrande1none5acc0.5107±0.014
hellaswag1none10acc0.2735±0.0044
none10acc_norm0.2801±0.0045
gsm8k3strict-match5exact_match0.0030±0.0015
flexible-extract5exact_match0.0099±0.0027

(0.25676491228070175, 0.004430608580958243)

TasksVersionFiltern-shotMetricValueStderr
world_religions0none5acc0.2281±0.0322
virology0none5acc0.2289±0.0327
us_foreign_policy0none5acc0.3000±0.0461
sociology0none5acc0.2438±0.0304
security_studies0none5acc0.2327±0.0270
public_relations0none5acc0.2091±0.0390
professional_psychology0none5acc0.2516±0.0176
professional_medicine0none5acc0.4522±0.0302
professional_law0none5acc0.2484±0.0110
professional_accounting0none5acc0.2518±0.0259
prehistory0none5acc0.2654±0.0246
philosophy0none5acc0.2315±0.0240
nutrition0none5acc0.2059±0.0232
moral_scenarios0none5acc0.2380±0.0142
moral_disputes0none5acc0.2486±0.0233
miscellaneous0none5acc0.2874±0.0162
medical_genetics0none5acc0.2900±0.0456
marketing0none5acc0.2009±0.0262
management0none5acc0.1845±0.0384
machine_learning0none5acc0.2857±0.0429
logical_fallacies0none5acc0.3190±0.0366
jurisprudence0none5acc0.2685±0.0428
international_law0none5acc0.2149±0.0375
human_sexuality0none5acc0.2137±0.0360
human_aging0none5acc0.2466±0.0289
high_school_world_history0none5acc0.2616±0.0286
high_school_us_history0none5acc0.2402±0.0300
high_school_statistics0none5acc0.4722±0.0340
high_school_psychology0none5acc0.2128±0.0175
high_school_physics0none5acc0.2781±0.0366
high_school_microeconomics0none5acc0.3067±0.0300
high_school_mathematics0none5acc0.2630±0.0268
high_school_macroeconomics0none5acc0.2590±0.0222
high_school_government_and_politics0none5acc0.3005±0.0331
high_school_geography0none5acc0.3030±0.0327
high_school_european_history0none5acc0.2667±0.0345
high_school_computer_science0none5acc0.2900±0.0456
high_school_chemistry0none5acc0.2956±0.0321
high_school_biology0none5acc0.2871±0.0257
global_facts0none5acc0.2600±0.0441
formal_logic0none5acc0.1667±0.0333
elementary_mathematics0none5acc0.2566±0.0225
electrical_engineering0none5acc0.2414±0.0357
econometrics0none5acc0.2719±0.0419
conceptual_physics0none5acc0.3319±0.0308
computer_security0none5acc0.2000±0.0402
college_physics0none5acc0.1863±0.0387
college_medicine0none5acc0.1965±0.0303
college_mathematics0none5acc0.2700±0.0446
college_computer_science0none5acc0.2300±0.0423
college_chemistry0none5acc0.2000±0.0402
college_biology0none5acc0.2431±0.0359
clinical_knowledge0none5acc0.2226±0.0256
business_ethics0none5acc0.2100±0.0409
astronomy0none5acc0.1842±0.0315
anatomy0none5acc0.3407±0.0409
abstract_algebra0none5acc0.2400±0.0429
  • Developed by: me
  • Funded by [optional]: nobody
  • Shared by [optional]: me
  • Model type: mistral
  • Language(s) (NLP): english (pile)
  • License: apache
  • Finetuned from model [optional]: none

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

endpoints_compatible
mistral
safetensors
text-generation
text-generation-inference
transformers