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
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