Distilgpt2 HC3 by pszemraj

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  Autotrain compatible   Chatgpt Dataset:pszemraj/hc3-textgen-q...   En   Endpoints compatible   Generated from trainer   Gpt2   Hc3   Pytorch   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/pszemraj/distilgpt2-HC3 

Distilgpt2 HC3 Benchmarks

Distilgpt2 HC3 (pszemraj/distilgpt2-HC3)

Distilgpt2 HC3 Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
This model only has 80M parameters and will likely not be factually accurate most of the time.
Additional Notes 
The model is a fine-tuned version of distilgpt2 on the 'chatgpt answers' column of the `Hello-SimpleAI/HC3` dataset. It achieved a loss of 1.9983 and accuracy of 0.5441 on the evaluation set.
Training Details 
Data Sources:
pszemraj/HC3-textgen-qa
LLM NameDistilgpt2 HC3
Repository ๐Ÿค—https://huggingface.co/pszemraj/distilgpt2-HC3 
Model Size88.2m
Required VRAM0.3 GB
Updated2024-12-22
Maintainerpszemraj
Model Typegpt2
Model Files  0.3 GB   0.3 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.27.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than pszemraj/distilgpt2-HC3.

Rank the Distilgpt2 HC3 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 v20241217