phi-2-snippets-logdetective

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Model Details

Model Description

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• 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]

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• Repository: [More Information Needed]
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Uses

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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

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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

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

• Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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fedora-copr/autoannotated_snippets_mistral

Factors

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Metrics

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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]

• Jiri Podivin [email protected]