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215 Commits

Author SHA1 Message Date
Weixin Wang
d07db28f52 Fix typo in example code 
Modify 'unambigiously' to 'unambiguously'
 2019-03-31 01:20:18 +08:00
jeonsworld
60005f464d Update pregenerate_training_data.py 
If the value of rand_end is returned from the randint function, the value of sampled_doc_index that matches current_idx is returned from searchsorted.

example:
cumsum_max = {int64} 30
doc_cumsum = {ndarray} [ 5  7 11 19 30]
doc_lengths = {list} <class 'list'>: [5, 2, 4, 8, 11]
if current_idx  = 1,
rand_start = 7
rand_end = 35
sentence_index = randint(7, 35) % cumsum_max
if randint return 35, sentence_index becomes 5.
if sentence_index is 5, np.searchsorted returns 1 equal to current_index.
 2019-03-30 14:50:17 +09:00
dhanajitb
f872eb98c2 making unconditional generation work 
The unconditional generation works now but if the seed is fixed, the sample is the same every time.
n_samples > 1 will give different samples though.
I am giving the start token as '<|endoftext|>' for the unconditional generation.
 2019-03-28 22:46:15 +05:30
Thomas Wolf
694e2117f3 Merge pull request #388 from ananyahjha93/master 
Added remaining GLUE tasks to 'run_classifier.py'
 2019-03-28 09:06:53 +01:00
Thomas Wolf
cc8c2d2332 Merge pull request #396 from IndexFziQ/IndexFziQ 
add tqdm to the process of eval in examples/run_swag.py
 2019-03-27 12:03:26 +01:00
thomwolf
361aff6de5 typos 2019-03-27 11:54:59 +01:00
thomwolf
cea8ba1d59 adjusted formating and some wording in the readme 2019-03-27 11:53:44 +01:00
Matthew Carrigan
24e67fbf75 Minor README update 2019-03-25 12:33:30 +00:00
Matthew Carrigan
8d1d1ffde2 Corrected the displayed loss when gradient_accumulation_steps > 1 2019-03-25 12:15:19 +00:00
Matthew Carrigan
abb7d1ff6d Added proper context management to ensure cleanup happens in the right 
order.
 2019-03-21 17:50:03 +00:00
Matthew Carrigan
06a30cfdf3 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 17:04:12 +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
2bba7f810e Added a --reduce_memory option to shelve docs to disc instead of keeping them in memory. 2019-03-21 16:50:16 +00:00
Matthew Carrigan
8733ffcb5e Removing a couple of other old unnecessary comments 2019-03-21 14:09:57 +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
6a9038ba53 Removed an old irrelevant comment 2019-03-21 13:36:41 +00:00
Yuqiang Xie
77944d1b31 add tqdm to the process of eval 
Maybe better.
 2019-03-21 20:59:33 +08:00
Matthew Carrigan
29a392fbcf Small README changes 2019-03-20 17:35:17 +00:00
Matthew Carrigan
832b2b0058 Adding README 2019-03-20 17:31:49 +00:00
Matthew Carrigan
934d3f4d2f Syncing up argument names between the scripts 2019-03-20 17:23:23 +00:00
Matthew Carrigan
f19ba35b2b Move old finetuning script into the new folder 2019-03-20 16:47:06 +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
Ananya Harsh Jha
e5b63fb542 Merge branch 'master' of https://github.com/ananyahjha93/pytorch-pretrained-BERT 
pull current master to local
 2019-03-17 08:30:13 -04:00
Ananya Harsh Jha
8a4e90ff40 corrected folder creation error for MNLI-MM, verified GLUE results 2019-03-17 08:16:50 -04:00
Ananya Harsh Jha
e0bf01d9a9 added hack for mismatched MNLI 2019-03-16 14:10:48 -04:00
Ananya Harsh Jha
4c721c6b6a added eval time metrics for GLUE tasks 2019-03-15 23:21:24 -04:00
tseretelitornike
83857ffeaa Added missing imports. 2019-03-15 12:45:48 +01:00
Yongbo Wang
d1e4fa98a9 typo in annotation 
modify `heruistic` to `heuristic` in line 660, `charcter` to `character` in line 661.
 2019-03-14 17:32:15 +08:00
Yongbo Wang
3d6452163d typo 
modify `mull` to `null` in line 474 annotation.
 2019-03-14 17:03:38 +08:00
thomwolf
a98dfe4ced fixing #377 (empty nbest_predictions.json) 2019-03-14 09:57:06 +01:00
Ananya Harsh Jha
043c8781ef added code for all glue task processors 2019-03-14 04:24:04 -04:00
Yongbo Wang
22a465a91f Simplify code, delete redundancy line 
delete redundancy line `if args.train`, simplify code.
 2019-03-13 09:42:06 +08:00
Elon Musk
66d8206809 Update run_gpt2.py 2019-03-08 11:59:08 -05:00
thomwolf
7cc35c3104 fix openai gpt example and updating readme 2019-03-06 11:43:21 +01:00
thomwolf
994d86609b fixing PYTORCH_PRETRAINED_BERT_CACHE use in examples 2019-03-06 10:21:24 +01:00
thomwolf
5c85fc3977 fix typo - logger info 2019-03-06 10:05:21 +01:00
Thomas Wolf
8e36da7acb Merge pull request #347 from jplehmann/feature/sst2-processor 
Processor for SST-2 task
 2019-03-06 09:48:27 +01:00
Thomas Wolf
3c01dfb775 Merge pull request #338 from CatalinVoss/patch-3 
Fix top k generation for k != 0
 2019-03-06 09:47:33 +01:00
John Lehmann
0f96d4b1f7 Run classifier processor for SST-2. 2019-03-05 13:38:28 -06:00
Catalin Voss
4b4b079272 Fix top k generation for k != 0 2019-03-02 21:54:44 -08:00
Catalin Voss
c0cf0a04d5 Fix typo 2019-02-27 18:01:06 -08:00
Ben Johnson
8607233679 Update run_openai_gpt.py 2019-02-20 13:58:54 -05:00
thomwolf
0202da0271 remove unnecessary example 2019-02-18 13:51:42 +01:00
thomwolf
690a0dbf36 fix example - masking 2019-02-18 10:50:30 +01:00