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Model Details

Model Description

  • Developed by: Jiri Podivin [email protected]
  • Model type: phi-2
  • Language(s) (NLP): English
  • License: MIT
  • Finetuned from model [optional]: microsoft/phi-2

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

fedora-copr/autoannotated_snippets_mistral

Factors

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Metrics

Rouge metric was used to compare model outputs with expected annotations from test subset.

Results

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Summary

Technical Specifications

Compute Infrastructure

Single node

Hardware

  • 1 * GeForce RTX 4090

Software

  • transformers
  • peft

Model Card Authors [optional]

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Dataset used to train fedora-copr/phi-2-snippets-logdetective