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Dadjokes Tuned Opt by gnumanth

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  Autotrain compatible   Base model:facebook/opt-350m Base model:finetune:facebook/o...   Dataset:gnumanth/dad-jokes   En   Endpoints compatible   Gnumanth/dadjokes-trained-opt   Opt   Region:us   Safetensors   Sft   Tensorboard   Trl
Model Card on HF 🤗: https://huggingface.co/gnumanth/dadjokes-tuned-opt 

Dadjokes Tuned Opt Benchmarks

LLME Score: 0.17124
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dadjokes Tuned Opt (gnumanth/dadjokes-tuned-opt)

Dadjokes Tuned Opt Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (full proficiency)
Training Details 
Data Sources:
https://huggingface.co/datasets/gnumanth/dad-jokes
Methodology:
SFT Trained simple model for fun!
LLM NameDadjokes Tuned Opt
Repository 🤗https://huggingface.co/gnumanth/dadjokes-tuned-opt 
Base Model(s)  Opt 350M   facebook/opt-350m
Model Size350m
Required VRAM1.3 GB
Updated2025-02-22
Maintainergnumanth
Model Typeopt
Model Files  1.3 GB   0.0 GB
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.1
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size50272
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than gnumanth/dadjokes-tuned-opt.

Rank the Dadjokes Tuned Opt 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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