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Glue Sst2 by predibase

 »  All LLMs  »  predibase  »  Glue Sst2   URL Share it on

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  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Finetuned   Lora   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/predibase/glue_sst2 

Glue Sst2 Benchmarks

LLME Score: 0.22512
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Glue Sst2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Sentiment Detection
Primary Use Cases:
Binary sentiment detection
Additional Notes 
The model is primarily used for binary sentiment detection using data from the SST2 dataset.
Input Output 
Input Format:
Given the following sentence: <sentence>. Respond with 0 if the sentiment is negative and 1 if positive.
Accepted Modalities:
text
Output Format:
0 or 1
LLM NameGlue Sst2
Repository 🤗https://huggingface.co/predibase/glue_sst2 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM0 GB
Updated2024-12-02
Maintainerpredibase
Model Files  0.0 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8
Glue Sst2 (predibase/glue_sst2)

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Note: green Score (e.g. "73.2") means that the model is better than predibase/glue_sst2.

Rank the Glue Sst2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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