12 Commits

Author	SHA1	Message	Date
Matthew Carrigan	b8e2a9c584	Made --reduce_memory actually do something in finetune_on_pregenerated	2019-04-22 14:01:48 +01:00
thomwolf	4bc4c69af9	finetuning any BERT model - fixes #455	2019-04-11 16:57:59 +02:00
Matthew Carrigan	8d1d1ffde2	Corrected the displayed loss when gradient_accumulation_steps > 1	2019-03-25 12:15:19 +00:00
Matthew Carrigan	7d1ae644ef	Added a --reduce_memory option to the training script to keep training ... data on disc as a memmap rather than in memory	2019-03-21 17:02:18 +00:00
Matthew Carrigan	8a861048dd	Fixed up the notes on a possible future low-memory path	2019-03-21 14:08:39 +00:00
Matthew Carrigan	a8a577ba93	Reduced memory usage for pregenerating the data a lot by writing it ... out on the fly without shuffling - the Sampler in the finetuning script will shuffle for us.	2019-03-21 14:05:52 +00:00
Matthew Carrigan	0ae59e662d	Reduced memory usage for pregenerating the data a lot by writing it ... out on the fly without shuffling - the Sampler in the finetuning script will shuffle for us.	2019-03-21 14:04:17 +00:00
Matthew Carrigan	7de5c6aa5e	PEP8 and formatting cleanups	2019-03-20 16:44:04 +00:00
Matthew Carrigan	1798e98e5a	Added final TODOs	2019-03-20 16:42:37 +00:00
Matthew Carrigan	c64c2fc4c2	Fixed embarrassing indentation problem	2019-03-20 15:42:57 +00:00
Matthew Carrigan	0540d360f2	Fixed logging	2019-03-20 15:36:51 +00:00
Matthew Carrigan	976554a472	First commit of the new LM finetuning	2019-03-20 14:23:51 +00:00