GPT Neo 125M Model Description GPT Neo 125M is a transformer model designed using EleutherAI's replication of the GPT 3 architecture. GPT Neo refers to the class of models, while 125M represents the number of parameters of this particular pre trained model. Training data GPT Neo 125M was trained on the Pile, a large scale curated dataset created by EleutherAI for the purpose of training this model. Training procedure This model was trained on the Pile for 300 billion tokens over 572,300 steps. It was trained as a masked autoregressive language model, using cross entropy loss. Intended Use and Limitations This way, the model learns an inner representation of the English language that can then be used to extract features useful for downstream tasks. The model is best at what it was pretrained for however, which is generating texts from a prompt. How to use You can use this model directly with a pipeline for text generation. This example generates a different sequence each time it's run: Limitations and Biases GPT Neo was trained as an autoregressive language model. This means that its core functionality is taking a string of text and predicting the next token. While language models a…
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