Model Card for PF_Coach

Coach (final) models for the PF Coach project for the Tribe LLM Hackathon, May 2023

Current version is for integration test.

Model Details

Model Description

This model is based on OPT-1.3B, after brief DeepSpeed instruction following finetuning and RLHF on a generic (non PF) dataset.

Developed by: Daniel Vainsencher
Model type: Causal language modeling, tuned for chat.
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Finetuned from model [optional]: facebook/OPT-1.3B

Model Sources [optional]

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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

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: [More Information Needed]
Hours used: [More Information Needed]
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Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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