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Gpt2 Large Lora Sft1 by Mikivis

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  Autotrain compatible   Endpoints compatible   Gpt2   Lora   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Mikivis/gpt2-large-lora-sft1 

Gpt2 Large Lora Sft1 Benchmarks

ARC: 24.66 vs 96.7 (so35)-74.5%
HellaSwag: 42.67 vs 95.3 (gpt4)-55.2%
MMLU: 24.89 vs 88.3 (so35)-71.8%
TruthfulQA: 39.37 vs 59 (gpt4)-33.3%
WinoGrande: 54.46 vs 87.5 (gpt4)-37.8%
LLME Score: 0.19401
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2 Large Lora Sft1 (Mikivis/gpt2-large-lora-sft1)

Gpt2 Large Lora Sft1 Parameters and Internals

Model Type 
text generation
Training Details 
Methodology:
LoRA (Low-Rank Adaptation) fine-tuning technique
Hardware Used:
6 GPUs
Model Architecture:
Transformer-based, GPT-2 architecture
LLM NameGpt2 Large Lora Sft1
Repository 🤗https://huggingface.co/Mikivis/gpt2-large-lora-sft1 
Model Size774m
Required VRAM1.6 GB
Updated2025-02-05
MaintainerMikivis
Model Typegpt2
Model Files  1.6 GB   1.6 GB
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.32.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
LoRA ModelYes
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than Mikivis/gpt2-large-lora-sft1.

Rank the Gpt2 Large Lora Sft1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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