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PR's title starts with a category (e.g. [BUGFIX], [MODEL], [TUTORIAL], [FEATURE], [DOC], etc)
Changes are complete (i.e. I finished coding on this PR)
All changes have test coverage
Code is well-documented
Changes
reproduce XNLI Task in chinese, validation metrics:accuracy:0.7755
Comments
If this change is a backward incompatible change, why must this change be made.
Interesting edge cases to note here
accuracy results:
dev set:
INFO:root:Best model at epoch 2. Validation metrics:accuracy:0.7827
INFO:root:Now we are doing testing on test with gpu(5).
INFO:root:Time cost=25.46s, throughput=197.05 samples/s
test set:
INFO:root:validation metrics:accuracy:0.7762
INFO:root:Time cost=25.31s, throughput=198.16 samples/s
INFO:root:Now we are doing testing on test with gpu(3).
INFO:root:Time cost=24.40s, throughput=205.59 samples/s
* add XNLI task
* update XNLI train cmd in index.rst
* update XNLI train cmd in index.rst
* rename label_project to label_alias
* add docstring for label_alias
* automatically download baidu ernie task data
* add some comments
* update xnli in index.rst
* fix xnli data comments
* update train command for xnli data
* fix xnli test case
* fix xnli test case
* fix xnli test case
* fix lint warning
* try to fix baidu_ernie_data import issue
* try to fix baidu_ernie_data import issue
* update XNLI finetune parameters in index.rst
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Description
Reproduce XNLI task in chinese.
Data can be downloaded from https://ernie.bj.bcebos.com/task_data.tgz (https://github.com/PaddlePaddle/LARK/tree/develop/ERNIE)
Checklist
Essentials
Changes
Comments
accuracy results:
dev set:
INFO:root:Best model at epoch 2. Validation metrics:accuracy:0.7827
INFO:root:Now we are doing testing on test with gpu(5).
INFO:root:Time cost=25.46s, throughput=197.05 samples/s
test set:
INFO:root:validation metrics:accuracy:0.7762
INFO:root:Time cost=25.31s, throughput=198.16 samples/s
INFO:root:Now we are doing testing on test with gpu(3).
INFO:root:Time cost=24.40s, throughput=205.59 samples/s