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Added datasize paramater; changed imports #42
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…ve LF line endings and all files stay unix on commit
Add note about setting PYTHONIOENCODING=UTF-8 env var for running examples
Example will `tee` stdout to `/tmp/samples` from conditional and unconditional generation scripts.
add description for flags
added python download script and modified requirements to add the modules needed. Tested in Windows Version 10.0.17134 Build 17134 and Ubuntu 18.04.1 LTS
This write-up was loosely inspired in part by Mitchell et al.’s work on [Model Cards for Model Reporting](https://arxiv.org/abs/1810.03993). Adding such model usage sections could be good practice in general for open source research projects with potentially broad applications.
This enables multi-GPU or distributed training using Horovod
…w training the 345M model.
Add toposort to requirements
…ional_samples.py.
Added the medium blog link "Beginner’s Guide to Retrain GPT-2 (117M) to Generate Custom Text Content"
Updated README.md
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I could not train on smaller data sets, so I added an argument sample_batch_size to the train.py file, to make it possible to specify the sample size.
Additionally, I changed the file imports so that you no longer need to move the train.py to the src directory. I additionally changed the encode.py file and the train-horovod.py in the same manner, providing a path to look at the src file.