Llama3-tw-8B-ptt / README.md
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metadata
base_model: DavidLanz/Llama3-tw-8B-Instruct
library_name: peft

Model Card for Model ID

基底模型(base model) [DavidLanz/Llama3-tw-8B-Instruct]

指令微調(Instruction Fine-Tuning)方式 [QLoRA]

資料集(Dataset) [Gossiping-QA-Dataset-2_0.csv]

Model Details

提供微調模型後的 adapter,base model 請參考 https://huggingface.co/DavidLanz/Llama3-tw-8B-Instruct/tree/main

資料集為 PTT 中文語料集,蒐集了 PTT 八卦版於 2015 年至 2019 年的文章,請參考 https://github.com/zake7749/Gossiping-Chinese-Corpus/blob/master/data/Gossiping-QA-Dataset-2_0.csv

Model Description

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  • Language(s) (NLP): [More Information Needed]
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  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

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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

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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]

BibTeX:

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APA:

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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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Framework versions

  • PEFT 0.11.1