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README.md
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- minerva-math
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library_name: transformers
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pipeline_tag: text-generation
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- minerva-math
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library_name: transformers
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pipeline_tag: text-generation
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---
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# jrc/phi3-mini-math
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<!-- Provide a quick summary of what the model is/does. -->
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Phi-3 Mini 4k Instruct model finetuned on math datasets.
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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## Evaluation
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The finetuned model is evaluated on [minerva-math]() using [EleutherAI Eval Harness]() through torchtune:
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CMD: `tune run eleuther_eval --config eleuther_evaluation checkpoint.checkpoint_dir=./lora-phi3-math tasks=["minerva_math"] batch_size=32
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RESULTS:
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```
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
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|------------------------------------|-------|------|-----:|-----------|-----:|---|-----:|
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|minerva_math |N/A |none | 4|exact_match|0.1670|± |0.0051|
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| - minerva_math_algebra | 1|none | 4|exact_match|0.2502|± |0.0126|
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| - minerva_math_counting_and_prob | 1|none | 4|exact_match|0.1329|± |0.0156|
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| - minerva_math_geometry | 1|none | 4|exact_match|0.1232|± |0.0150|
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| - minerva_math_intermediate_algebra| 1|none | 4|exact_match|0.0576|± |0.0078|
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| - minerva_math_num_theory | 1|none | 4|exact_match|0.1148|± |0.0137|
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| - minerva_math_prealgebra | 1|none | 4|exact_match|0.3077|± |0.0156|
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| - minerva_math_precalc | 1|none | 4|exact_match|0.0623|± |0.0104|
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```
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## Technical Specifications [optional]
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#### Hardware
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4 x NVIDIA A100 GPUs
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Max VRAM used per GPU: 29 GB
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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