SenseLab (BRERIN – beta testing)


BRERIN 

A Philosobot:
Trained on the collected book-length works 
of Erin Manning and Brian Massumi

+~+Library: PyTorch+~+

Mode: GRU
Embedding size: 2500
Hidden Layers: 2500
Batch size: 20
Epoch: 69
Loss: 0.71
Perplexity: 2.03.pt


Formatted run inside Cathode.

Text file: BRERIN-2h22m-Aug23-2017_TERMINAL


Preliminary run (unformatted)

Txt file output of 1h44m run of 952mb Pytorch GRU model : here


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