Deepspeed Chat Step2 Model Opt350m by zen-E

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  Autotrain compatible   Dataset:dahoas/full-hh-rlhf   Dataset:dahoas/rm-static Dataset:dahoas/synthetic-instr... Dataset:yitingxie/rlhf-reward-...   En   Endpoints compatible   Instruct   Opt   Pytorch   Region:us

Deepspeed Chat Step2 Model Opt350m Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepspeed Chat Step2 Model Opt350m (zen-E/deepspeed-chat-step2-model-opt350m)

Deepspeed Chat Step2 Model Opt350m Parameters and Internals

Model Type 
Reward Model, Fine-tuned Model
Use Cases 
Areas:
Research, Commercial Applications
Additional Notes 
Model is highly sensitive to effective batch size which impacts performance.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
Dahoas/rm-static, Dahoas/full-hh-rlhf, Dahoas/synthetic-instruct-gptj-pairwise, yitingxie/rlhf-reward-datasets, openai/webgpt_comparisons, stanfordnlp/SHP
Methodology:
Fine-tuning with several datasets across different stages: SFT, reward modeling, and RLHF
Hardware Used:
2 A100-40GB GPUs
Input Output 
Input Format:
Text input for prompts with specific padding requirements.
Accepted Modalities:
text
Output Format:
Reward values for input prompts
Performance Tips:
Consider effective batch size adjustments for better sensitivity handling.
LLM NameDeepspeed Chat Step2 Model Opt350m
Repository ๐Ÿค—https://huggingface.co/zen-E/deepspeed-chat-step2-model-opt350m 
Model Size350m
Required VRAM0.7 GB
Updated2025-02-22
Maintainerzen-E
Model Typeopt
Instruction-BasedYes
Model Files  0.7 GB
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.29.0.dev0
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu

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Note: green Score (e.g. "73.2") means that the model is better than zen-E/deepspeed-chat-step2-model-opt350m.

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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