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README.md
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library_name: transformers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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This is the
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- **Developed by:**
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):**
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- **License:**
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- **Finetuned from model [optional]:**
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:**
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- **Paper [optional]:**
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- **Demo [optional]:** [More Information Needed]
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## Uses
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## Model Card Contact
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[More Information Needed]
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library_name: transformers
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license: mit
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datasets:
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- gsm8k
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# Model Card for Model ID
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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This is the result of 3 iterations of self improvement of the model on a subset of GSM8K problems where the base Phi-2 was less confident.
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We utilized self consistency evaluation along with execution traces to self-select high quality self-generated samples for training without looking at the ground truth answers.
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This improved the base model Phi-2 accuracy by about 6% on GSM8K dataset - both the test set and the harder to solve subset of the training data.
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- **Developed by:** Stanford University team: Artyom Shaposhnikov, Roberto Garcia, Shubhra Mishra
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** Python
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- **License:** MIT
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- **Finetuned from model [optional]:** microsoft/phi-2
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/deepbrain/CS224N
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- **Paper [optional]:** "Self-Improvement for Math Problem-Solving in Small Language Models"
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## Uses
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## Model Card Contact
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[More Information Needed]
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