fastText
Avestan
Afar
English
medical
chemistry
biology

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Model Details

Model Description

  • Developed by: [Washed Ashore Relics]
  • Funded by [optional]: [Privately]
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  • Model type: [Herbal Chatbox]
  • Language(s) (NLP): [More Information Needed]
  • License: [Apache 2.0]
  • Finetuned from model [optional]: [n/a]

Model Sources [optional]

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Uses

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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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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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Training Hyperparameters

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Evaluation

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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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Citation [optional]

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Model Card Authors [optional]

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Model Card Contact

[More--- model-index: - name: Yi-34B results: - task: type: text-generation dataset: name: ai2_arc type: ai2_arc metrics: - name: AI2 Reasoning Challenge (25-Shot) type: AI2 Reasoning Challenge (25-Shot) value: 64.59 source: name: Open LLM Leaderboard url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard

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Datasets used to train Washedashore/Berbble