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metadata
license: mit
datasets:
  - Intel/orca_dpo_pairs
  - athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
language:
  - en
pipeline_tag: text-generation

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Go Bruins V2 - A Fine-tuned Language Model

Updates

Overview

Go Bruins-V2 is a language model fine-tuned on the rwitz/go-bruins architecture. It's designed to push the boundaries of NLP applications, offering unparalleled performance in generating human-like text.

Model Details

  • Developer: Ryan Witzman
  • Base Model: rwitz/go-bruins
  • Fine-tuning Method: Direct Preference Optimization (DPO)
  • Training Steps: 642
  • Language: English
  • License: MIT

Capabilities

Go Bruins excels in a variety of NLP tasks, including but not limited to:

  • Text generation
  • Language understanding
  • Sentiment analysis

Usage

Warning: This model may output NSFW or illegal content. Use with caution and at your own risk.

For Direct Use:

from transformers import pipeline

model_name = "rwitz/go-bruins-v2"
inference_pipeline = pipeline('text-generation', model=model_name)

input_text = "Your input text goes here"
output = inference_pipeline(input_text)

print(output)

Not Recommended For:

  • Illegal activities
  • Harassment
  • Professional advice or crisis situations

Training and Evaluation

Trained on a dataset from athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW, Go Bruins V2 has shown promising improvements over its predecessor, Go Bruins.

Evaluations

Metric Average Arc Challenge Hella Swag MMLU Truthful Q&A Winogrande GSM8k
Score ??? 69.97 Coming Soon Coming Soon 60.37 81.61 68.69

Note: The original MMLU evaluation has been corrected to include 5-shot data rather than 1-shot data.

Contact

For any inquiries or feedback, reach out to Ryan Witzman on Discord: rwitz_.


This model card was created with care by Ryan Witzman. rewrite this model card for new version called go-bruins-v2 that is finetuned on dpo on the original go-bruins model on athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW