Skip to content
Snippets Groups Projects
Select Git revision
  • master default protected
  • training
2 results
You can move around the graph by using the arrow keys.
Created with Raphaël 2.2.04May16Feb1521Jan22Dec21201816Nov1512119429Oct22📝 Update README.mdmastermaster📝 Update README.mdupdate script to train fusion model for 1800 wordsupdate pre-training for 1800wpre-training script for 1800 words lengthupdated 1000w fusion training jobmake corpus for 1800 words lengthadd second fusion model training script|prepare to train 1st modeltrainingtrainingsplit data on punctuationclean up training scriptssecond training scriptsupdate binarising and training filesshorten stories to 1000 wordsdelete tracked env log file, ignore new log filesdelete fairseq testsupdate job script, increase --max-target-positions --max-source-positions and --max-tokensadd training script for the first modelrename binarise-data job, up the memoryupdate readmerename stories-scraping to fairseq-hsgadd installing log filesupdate conda setup script, add fairseq testing scriptupdate binarise jobadd conda env setup files for lara (slurm)add slurm script to binarisesplit dataset into train, test and validation setsadd stories analysisignore raw storiescombine corpusreorganise into folders, add stories scrapingadd paperspace notebookUpdate README.mdupdate notebooks and readmeUpdate HSG_Google_Colab_working.ipynbUpdate HSG_Google_Colab_working.ipynb - universal_newlines arg and small error fixchange check_output universal_newlines argument, change input.txtadd requirementsupdate README, delete extra files, update Colab notebook to include git clonemake the model work, clean up the code, add comments and do some additional tweaks