Math Gpt2 by Sharathhebbar24

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  Arxiv-math   Autotrain compatible Dataset:artifactai/arxiv-math-...   En   Endpoints compatible   Gpt2   Instruct   Mathgpt2   Maths   Pytorch   Region:us

Math Gpt2 Benchmarks

Math Gpt2 (Sharathhebbar24/math_gpt2)

Math Gpt2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
maths, arxiv-math
Primary Use Cases:
Text generation based on mathematical prompts.
Additional Notes 
The model is fine-tuned specifically for math-related instructions using the arxiv-math dataset.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
ArtifactAI/arxiv-math-instruct-50k
Methodology:
Finetuned version of GPT-2 with math instructions.
Model Architecture:
Transformers
LLM NameMath Gpt2
Repository ๐Ÿค—https://huggingface.co/Sharathhebbar24/math_gpt2 
Required VRAM0.5 GB
Updated2024-12-22
MaintainerSharathhebbar24
Model Typegpt2
Instruction-BasedYes
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.30.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217