Model Card for Model ID
Model Details
Model Description
This is a GPT-2 1B model fine-tuned on a subset of the Wikipedia corpus for text generation tasks. The model is capable of generating coherent and creative continuations given a prompt. It was trained to predict the next token given previous context using a causal language modeling objective.
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- Language(s) (NLP): en
- License: apache-2.0
- Finetuned from model [optional]: gpt2
Model Sources [optional]
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Uses
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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
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Training Details
Training Data
A 1% subset of the English Wikipedia corpus was used. Data was preprocessed by removing formatting artifacts, tokenized using a custom GPT-2 tokenizer trained from scratch.
Training Procedure
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Training Hyperparameters
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Evaluation
Testing Data, Factors & Metrics
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Summary
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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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