File age measurements show the distribution of file ages (days since the first commit) and the recency of file updates (days since the latest commit).
File | # lines | # units | last modified (days ago) | created (days ago) | # changes |
---|---|---|---|---|---|
modeling.py in code/pytorch_pretrained_bert |
615 | 60 | 498 | 870 | 3 |
pair_bert.py in pretraining/fairseq/models |
558 | 59 | 769 | 769 | 1 |
hf_bert.py in pretraining/fairseq/models |
523 | 55 | 769 | 769 | 1 |
span_bert_dataset.py in pretraining/fairseq/data |
350 | 17 | 769 | 769 | 1 |
utils.py in pretraining/fairseq |
302 | 26 | 769 | 769 | 1 |
options.py in pretraining/fairseq |
298 | 17 | 769 | 769 | 1 |
train.py in pretraining |
287 | 9 | 769 | 769 | 1 |
trainer.py in pretraining/fairseq |
264 | 18 | 769 | 769 | 1 |
multihead_attention.py in pretraining/fairseq/modules |
253 | 20 | 769 | 769 | 1 |
masking.py in pretraining/fairseq/data |
242 | 20 | 769 | 769 | 1 |
indexed_dataset.py in pretraining/fairseq/data |
218 | 33 | 769 | 769 | 1 |
preprocess.py in pretraining |
200 | 5 | 769 | 769 | 1 |
no_nsp_span_bert_dataset.py in pretraining/fairseq/data |
200 | 13 | 769 | 769 | 1 |
downsampled_multihead_attention.py in pretraining/fairseq/modules |
197 | 8 | 769 | 769 | 1 |
dictionary.py in pretraining/fairseq/data |
149 | 19 | 769 | 769 | 1 |
span_bert.py in pretraining/fairseq/tasks |
145 | 11 | 769 | 769 | 1 |
adaptive_softmax.py in pretraining/fairseq/modules |
136 | 10 | 769 | 769 | 1 |
progress_bar.py in pretraining/fairseq |
131 | 27 | 769 | 769 | 1 |
iterators.py in pretraining/fairseq/data |
131 | 22 | 769 | 769 | 1 |
bert_adam.py in pretraining/fairseq/optim |
123 | 9 | 769 | 769 | 1 |
File | # lines | # units | last modified (days ago) | created (days ago) | # changes |
---|---|---|---|---|---|
__init__.py in pretraining/fairseq |
9 | - | 769 | 769 | 1 |
grad_multiply.py in pretraining/fairseq/modules |
10 | 2 | 769 | 769 | 1 |
fairseq_encoder.py in pretraining/fairseq/models |
13 | 5 | 769 | 769 | 1 |
learned_positional_embedding.py in pretraining/fairseq/modules |
14 | 3 | 769 | 769 | 1 |
sgd.py in pretraining/fairseq/optim |
14 | 2 | 769 | 769 | 1 |
scalar_bias.py in pretraining/fairseq/modules |
15 | 3 | 769 | 769 | 1 |
adagrad.py in pretraining/fairseq/optim |
15 | 2 | 769 | 769 | 1 |
fairseq_criterion.py in pretraining/fairseq/criterions |
18 | 6 | 769 | 769 | 1 |
__init__.py in pretraining/fairseq/optim/lr_scheduler |
19 | 2 | 769 | 769 | 1 |
__init__.py in pretraining/fairseq/data |
21 | - | 769 | 769 | 1 |
multiprocessing_pdb.py in pretraining/fairseq |
21 | 2 | 769 | 769 | 1 |
fairseq_incremental_decoder.py in pretraining/fairseq/models |
21 | 4 | 769 | 769 | 1 |
fairseq_dataset.py in pretraining/fairseq/data |
22 | 9 | 769 | 769 | 1 |
fairseq_decoder.py in pretraining/fairseq/models |
22 | 5 | 769 | 769 | 1 |
__init__.py in pretraining/fairseq/criterions |
23 | 2 | 769 | 769 | 1 |
fairseq_lr_scheduler.py in pretraining/fairseq/optim/lr_scheduler |
24 | 6 | 769 | 769 | 1 |
__init__.py in pretraining/fairseq/modules |
25 | - | 769 | 769 | 1 |
beamable_mm.py in pretraining/fairseq/modules |
25 | 3 | 769 | 769 | 1 |
__init__.py in pretraining/fairseq/optim |
25 | 2 | 769 | 769 | 1 |
reduce_lr_on_plateau.py in pretraining/fairseq/optim/lr_scheduler |
28 | 4 | 769 | 769 | 1 |
File | # lines | # units | last modified (days ago) | created (days ago) | # changes |
---|---|---|---|---|---|
run_squad.py in code |
988 | 25 | |||
run_mrqa.py in code |
806 | 16 | |||
run_glue.py in code |
770 | 59 | |||
run_tacred.py in code |
487 | 14 | |||
tokenization.py in code/pytorch_pretrained_bert |
274 | 20 | |||
file_utils.py in code/pytorch_pretrained_bert |
175 | 11 | |||
mrqa_official_eval.py in code |
101 | 8 | |||
optimization.py in code/pytorch_pretrained_bert |
100 | 6 | |||
__init__.py in code/pytorch_pretrained_bert |
9 | - | |||
pair_bert.py in pretraining/fairseq/models |
558 | 59 | 769 | 769 | 1 |
hf_bert.py in pretraining/fairseq/models |
523 | 55 | 769 | 769 | 1 |
span_bert_dataset.py in pretraining/fairseq/data |
350 | 17 | 769 | 769 | 1 |
utils.py in pretraining/fairseq |
302 | 26 | 769 | 769 | 1 |
options.py in pretraining/fairseq |
298 | 17 | 769 | 769 | 1 |
train.py in pretraining |
287 | 9 | 769 | 769 | 1 |
trainer.py in pretraining/fairseq |
264 | 18 | 769 | 769 | 1 |
multihead_attention.py in pretraining/fairseq/modules |
253 | 20 | 769 | 769 | 1 |
masking.py in pretraining/fairseq/data |
242 | 20 | 769 | 769 | 1 |
indexed_dataset.py in pretraining/fairseq/data |
218 | 33 | 769 | 769 | 1 |
preprocess.py in pretraining |
200 | 5 | 769 | 769 | 1 |
File | # lines | # units | last modified (days ago) | created (days ago) | # changes |
---|---|---|---|---|---|
run_squad.py in code |
988 | 25 | |||
run_mrqa.py in code |
806 | 16 | |||
run_glue.py in code |
770 | 59 | |||
run_tacred.py in code |
487 | 14 | |||
tokenization.py in code/pytorch_pretrained_bert |
274 | 20 | |||
file_utils.py in code/pytorch_pretrained_bert |
175 | 11 | |||
mrqa_official_eval.py in code |
101 | 8 | |||
optimization.py in code/pytorch_pretrained_bert |
100 | 6 | |||
__init__.py in code/pytorch_pretrained_bert |
9 | - | |||
modeling.py in code/pytorch_pretrained_bert |
615 | 60 | 498 | 870 | 3 |
pair_bert.py in pretraining/fairseq/models |
558 | 59 | 769 | 769 | 1 |
hf_bert.py in pretraining/fairseq/models |
523 | 55 | 769 | 769 | 1 |
span_bert_dataset.py in pretraining/fairseq/data |
350 | 17 | 769 | 769 | 1 |
utils.py in pretraining/fairseq |
302 | 26 | 769 | 769 | 1 |
options.py in pretraining/fairseq |
298 | 17 | 769 | 769 | 1 |
train.py in pretraining |
287 | 9 | 769 | 769 | 1 |
trainer.py in pretraining/fairseq |
264 | 18 | 769 | 769 | 1 |
multihead_attention.py in pretraining/fairseq/modules |
253 | 20 | 769 | 769 | 1 |
masking.py in pretraining/fairseq/data |
242 | 20 | 769 | 769 | 1 |
indexed_dataset.py in pretraining/fairseq/data |
218 | 33 | 769 | 769 | 1 |