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FinOPT Washington by MayaPH

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  2125   
  Autotrain compatible   Endpoints compatible   Opt   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MayaPH/FinOPT-Washington 

FinOPT Washington Benchmarks

ARC: 25.17 vs 96.7 (so35)-74%
HellaSwag: 26.25 vs 95.3 (gpt4)-72.5%
MMLU: 24.83 vs 88.3 (so35)-71.9%
TruthfulQA: 45.8 vs 59 (gpt4)-22.4%
WinoGrande: 51.07 vs 87.5 (gpt4)-41.6%
LLME Score: 0.1723
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FinOPT Washington (MayaPH/FinOPT-Washington)

FinOPT Washington Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Banking queries, Investment advice, General financial inquiries
Primary Use Cases:
Financial question-answering tasks
Limitations:
Domain-specific focus: may not perform well outside the financial domain, Potential bias, Lack of fact-checking capabilities
Considerations:
Verify information with reliable sources.
Additional Notes 
Consult with financial professionals or reliable sources for specific financial advice.
Training Details 
Data Sources:
Online sources, Financial forums
Model Architecture:
OPT-125M architecture
Responsible Ai Considerations 
Fairness:
Be aware of potential biases and evaluate responses critically.
Transparency:
Model operates as a predictive text generator based on learned patterns.
Accountability:
Users should take responsibility for financial decisions and not rely solely on the model.
LLM NameFinOPT Washington
Repository 🤗https://huggingface.co/MayaPH/FinOPT-Washington 
Model Size125.2m
Required VRAM0.5 GB
Updated2025-02-22
MaintainerMayaPH
Model Typeopt
Model Files  0.5 GB   0.5 GB
Model ArchitectureOPTForCausalLM
Licensecc-by-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
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 MayaPH/FinOPT-Washington.

Rank the FinOPT Washington 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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Release v20241227
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