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This is a small, imperfect model for Pascal code generation

Model Details

Trained on 25 batch of data

Model Description

  • Developed by: Falcon2006VN (aka buckdan)
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  • Language(s) (NLP): [More Information Needed]
  • License: MIT
  • Finetuned from model: GPT-2

Uses

For Pascal code generation Note: Do not use in production purpose. If there is anything that goes wrong I will not take resposible...

Direct Use

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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).

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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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Dataset used to train Falcon2006VN/GPasT-small-model