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https://api.github.com/repos/huggingface/transformers/issues/6321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6321/comments | https://api.github.com/repos/huggingface/transformers/issues/6321/events | https://github.com/huggingface/transformers/pull/6321 | 674,886,481 | MDExOlB1bGxSZXF1ZXN0NDY0NDk2ODA2 | 6,321 | [Community notebooks] Add notebook on fine-tuning Electra and interpreting with IG | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6321?src=pr&el=h1) Report\n> Merging [#6321](https://codecov.io/gh/huggingface/transformers/pull/6321?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c72f9c90a160e74108d50568fa71e1f216949846&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Adding a link to a community notebook containing an example of:
- fine-tuning Electra on GLUE SST-2 with Trainer,
- running Captum Integrated Gradients token importance attribution on the results ,
- visualizing attribution with captum.attr.visualization. | {
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https://api.github.com/repos/huggingface/transformers/issues/6320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6320/comments | https://api.github.com/repos/huggingface/transformers/issues/6320/events | https://github.com/huggingface/transformers/issues/6320 | 674,844,085 | MDU6SXNzdWU2NzQ4NDQwODU= | 6,320 | Multi-gpu LM finetuning | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | NONE | null | Hello,
how can I run LM finetuning with more than one gpu (specifically I want to train gpt2-medium on Google Cloud with four nvidia T4, 64GB).
What are the arguments to pass to `run_language_modeling.py` script?
Thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/6319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6319/comments | https://api.github.com/repos/huggingface/transformers/issues/6319/events | https://github.com/huggingface/transformers/issues/6319 | 674,821,137 | MDU6SXNzdWU2NzQ4MjExMzc= | 6,319 | num_beams error in GPT2DoubleHead model | {
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"encountered the same issue",
"I think @patrickvonplaten might have some ideas."
] | 1,596 | 1,598 | 1,598 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 2.9.1
- Platform: Linux
- Python version: 3.6
- PyTorch version (GPU?): 1.5
- Tensorflow version (GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/6318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6318/comments | https://api.github.com/repos/huggingface/transformers/issues/6318/events | https://github.com/huggingface/transformers/issues/6318 | 674,714,837 | MDU6SXNzdWU2NzQ3MTQ4Mzc= | 6,318 | TFBert runs slower than keras-bert， any plan to speed up？ | {
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"This is related: https://github.com/huggingface/transformers/pull/6877",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,604 | 1,604 | NONE | null | classification task run with keras-bert using 7ms, but run with TFBert using 50+ms, both of them runing on GPU, detail arguments:
hidden layers: 6
max_seq_length: 64
cuda: 2080ti
As I see, most of time using cost by bert encoder, average 6 ms per encoder layer, while keras-bert encoder per layer use less than 1ms... | {
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https://api.github.com/repos/huggingface/transformers/issues/6317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6317/comments | https://api.github.com/repos/huggingface/transformers/issues/6317/events | https://github.com/huggingface/transformers/issues/6317 | 674,714,165 | MDU6SXNzdWU2NzQ3MTQxNjU= | 6,317 | codecov invalid reports due to inconsistent code coverage outputs (non-idempotent test-suite) | {
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"Here is another gem - PR to remove a single comment from a test file https://github.com/huggingface/transformers/pull/6338 - guess what codecov's report was - it will increase coverage by 0.32%! Sounds like its output would make a pretty good RNG.",
"Pinging @thomasrockhu\r\n\r\nWe've seen such reports for a whi... | 1,596 | 1,601 | 1,601 | CONTRIBUTOR | null | Currently PRs get a codecov report
1. Observing various commits - especially pure doc commits - It's either not working right or it needs to be configured.
e.g., this PR has 0.00% change to the code:
https://github.com/huggingface/transformers/pull/6315/files
yet, codecov found -0.51% decrease in coverage - t... | {
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https://api.github.com/repos/huggingface/transformers/issues/6316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6316/comments | https://api.github.com/repos/huggingface/transformers/issues/6316/events | https://github.com/huggingface/transformers/issues/6316 | 674,711,324 | MDU6SXNzdWU2NzQ3MTEzMjQ= | 6,316 | Dataloader number of workers in Trainer | {
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"+1.\r\n\r\nI suppose it should not be difficult to add additional argument to ```self.args``` specifying number of workers to use and to use it as:\r\n```\r\nreturn DataLoader(\r\n self.train_dataset,\r\n batch_size=self.args.train_batch_size,\r\n sampler=train_sampler,\r\n ... | 1,596 | 1,600 | 1,600 | NONE | null | https://github.com/huggingface/transformers/blob/175cd45e13b2e33d1efec9e2ac217cba99f6ae58/src/transformers/trainer.py#L252
If you want to use the Trainer from trainer.py, you only have the option to use only 0 number of workers for your dataloader.
However, even if I change the source code to have 10 number or ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6315/comments | https://api.github.com/repos/huggingface/transformers/issues/6315/events | https://github.com/huggingface/transformers/pull/6315 | 674,702,744 | MDExOlB1bGxSZXF1ZXN0NDY0MzQ3MTk3 | 6,315 | [examples] consistently use --gpus, instead of --n_gpu | {
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"I had to update all the files since n_gpu seems like a common param.",
"You could create an issue, suggesting to use `n_gpu` everywhere instead, supporting it with some stats that would be in favor of this naming. As long as it's consistent across the project either way works, IMHO."
] | 1,596 | 1,603 | 1,596 | CONTRIBUTOR | null | - some docs were wrongly suggesting to use `--n_gpu`, when the code is `--gpus`
- `examples/distillation/` had `--n_gpu`, in the code - switched it and the doc to `--gpus` | {
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https://api.github.com/repos/huggingface/transformers/issues/6314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6314/comments | https://api.github.com/repos/huggingface/transformers/issues/6314/events | https://github.com/huggingface/transformers/pull/6314 | 674,700,588 | MDExOlB1bGxSZXF1ZXN0NDY0MzQ1NTEx | 6,314 | [pl] restore lr logging behavior for glue, ner examples | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6314?src=pr&el=h1) Report\n> Merging [#6314](https://codecov.io/gh/huggingface/transformers/pull/6314?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/be1520d3a3c09d729649c49fa3163bd938b6a238&el=desc) will **decrease... | 1,596 | 1,603 | 1,597 | CONTRIBUTOR | null | 2 more fixes for https://github.com/huggingface/transformers/pull/6027
1. restore the original code and add what was there already, instead of a complex line of code.
2. restore removed `rate` field - solve the missing bit
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https://api.github.com/repos/huggingface/transformers/issues/6313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6313/comments | https://api.github.com/repos/huggingface/transformers/issues/6313/events | https://github.com/huggingface/transformers/issues/6313 | 674,674,583 | MDU6SXNzdWU2NzQ2NzQ1ODM= | 6,313 | Error trying to import SquadDataset | {
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"Hi @brian8128 , `SquadDataset` was added after the 3.0.2 release. You'll need to install from source to use it",
"Thanks! It's working now. You guys have written some code around this stuff!"
] | 1,596 | 1,596 | 1,596 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.15.0-108-generic-x86_64-with-glibc2.10
- Python version: 3.8.2
- PyTorch version (GPU?): 1.4.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fil... | {
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https://api.github.com/repos/huggingface/transformers/issues/6312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6312/comments | https://api.github.com/repos/huggingface/transformers/issues/6312/events | https://github.com/huggingface/transformers/pull/6312 | 674,674,023 | MDExOlB1bGxSZXF1ZXN0NDY0MzI0NDg4 | 6,312 | clarify shuffle | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6312?src=pr&el=h1) Report\n> Merging [#6312](https://codecov.io/gh/huggingface/transformers/pull/6312?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0eecaceac7a2cb3c067a435a7571a2ee0de619b9?el=desc) will **increase... | 1,596 | 1,598 | 1,598 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6311/comments | https://api.github.com/repos/huggingface/transformers/issues/6311/events | https://github.com/huggingface/transformers/pull/6311 | 674,671,965 | MDExOlB1bGxSZXF1ZXN0NDY0MzIyNzc4 | 6,311 | modify ``val_loss_mean`` | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | CONTRIBUTOR | null | revised by this warning
***/lib/python3.*/site-packages/pytorch_lightning/utilities/distributed.py:25: RuntimeWarning: The metric you returned 1.234 must be a `torch.Tensor` instance, checkpoint not saved HINT: what is the value of val_loss in validation_epoch_end()? | {
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https://api.github.com/repos/huggingface/transformers/issues/6310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6310/comments | https://api.github.com/repos/huggingface/transformers/issues/6310/events | https://github.com/huggingface/transformers/issues/6310 | 674,648,681 | MDU6SXNzdWU2NzQ2NDg2ODE= | 6,310 | collision between different cl arg definitions in examples | {
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"Here is a potential idea of how to keep all the common cl arg definitions in `BaseTransformer` and then let each example subclass tell which ones it wants to support, w/o needing to duplicate the same thing everywhere.\r\n```\r\nimport argparse\r\n\r\n# removes an option from the parser after parser.add_argument's... | 1,596 | 1,603 | 1,603 | CONTRIBUTOR | null | The `examples` have an incosistency of how the cl args are defined and parsed. Some rely on PL's main args as `finetune.py` does: https://github.com/huggingface/transformers/blob/master/examples/seq2seq/finetune.py#L410
```
parser = argparse.ArgumentParser()
parser = pl.Trainer.add_argparse_args(parser)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6309/comments | https://api.github.com/repos/huggingface/transformers/issues/6309/events | https://github.com/huggingface/transformers/pull/6309 | 674,632,888 | MDExOlB1bGxSZXF1ZXN0NDY0MjkwMzQy | 6,309 | pl version: examples/requirements.txt is single source of truth | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6309?src=pr&el=h1) Report\n> Merging [#6309](https://codecov.io/gh/huggingface/transformers/pull/6309?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/175cd45e13b2e33d1efec9e2ac217cba99f6ae58&el=desc) will **increase... | 1,596 | 1,597 | 1,597 | CONTRIBUTOR | null | PL git master is unstable:
```
cd examples/text-classification
./run_pl.sh
```
```
File "run_pl_glue.py", line 12, in <module>
from lightning_base import BaseTransformer, add_generic_args, generic_train
File "/mnt/nvme1/code/huggingface/transformers-master/examples/lightning_base.py", line 7, in <mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/6308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6308/comments | https://api.github.com/repos/huggingface/transformers/issues/6308/events | https://github.com/huggingface/transformers/issues/6308 | 674,631,919 | MDU6SXNzdWU2NzQ2MzE5MTk= | 6,308 | Debug flag to `run_language_modeling` triggers error | {
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"The documentation of `debug` clearly points out this parameter is only used for TPU-training:\r\n```\r\ndebug (:obj:`bool`, `optional`, defaults to :obj:`False`):\r\n When training on TPU, whether to print debug metrics or not.\r\n```\r\nIt's called simply debug (and not `tpu_debug`) for harmonization w... | 1,596 | 1,597 | 1,597 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-5.4.0-42-generic-x86_64-with-glibc2.29
- Python version: 3.8.2
- PyTorch version (GPU?): 1.6.0+cu101 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes, run_language_modeling.py
- Using distributed or parallel... | {
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https://api.github.com/repos/huggingface/transformers/issues/6307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6307/comments | https://api.github.com/repos/huggingface/transformers/issues/6307/events | https://github.com/huggingface/transformers/pull/6307 | 674,625,886 | MDExOlB1bGxSZXF1ZXN0NDY0Mjg0NTc1 | 6,307 | fix the shuffle agrument usage and the default | {
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"The merged https://github.com/huggingface/transformers/pull/6027 broke `examples/seq2seq/test_seq2seq_examples.py::test_finetune_lr_shedulers` - which I think was flagged by failing CI of that PR.\r\n\r\nyeah, PL already has `--gpus` - so it conflicts with the one added by 6027. So I will look at how to rework tha... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | This is a follow up to the recently merged PR to https://github.com/huggingface/transformers/pull/6027
The `shuffle` wasn't handled correctly:
```
cd examples/text-classification
./run_pl.sh
```
```
TypeError: get_dataloader() missing 1 required positional argument: 'shuffle'
```
this fixes it | {
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https://api.github.com/repos/huggingface/transformers/issues/6306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6306/comments | https://api.github.com/repos/huggingface/transformers/issues/6306/events | https://github.com/huggingface/transformers/issues/6306 | 674,567,670 | MDU6SXNzdWU2NzQ1Njc2NzA= | 6,306 | solving `make quality` failures | {
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"Confirming the warning started to appear since I did a conda upgrade (for pytorch 1.6.0), never got the error here.",
"> Confirming the warning started to appear since I did a conda upgrade (for pytorch 1.6.0)\r\n\r\nThank you for validating this.\r\n\r\nThe warning is kind of like an error, since it's noisy, so... | 1,596 | 1,602 | 1,602 | CONTRIBUTOR | null | `make quality` currently and for a while now fails with 1 warning and 1 failure:
1. isort warning:
with `isort==4.3.21` or the required by the latest stable `pylint`, or `setup.py`'s current
`git+git://github.com/timothycrosley/isort.git@e63ae06ec7d70b06df9e528357650281a3d3ec22#egg=isort`
we get:
```
make sty... | {
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https://api.github.com/repos/huggingface/transformers/issues/6305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6305/comments | https://api.github.com/repos/huggingface/transformers/issues/6305/events | https://github.com/huggingface/transformers/pull/6305 | 674,554,075 | MDExOlB1bGxSZXF1ZXN0NDY0MjI1MDk2 | 6,305 | Remove redundant line in run_pl_glue.py | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6305?src=pr&el=h1) Report\n> Merging [#6305](https://codecov.io/gh/huggingface/transformers/pull/6305?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/118ecfd4273b5381aeeb65476a01678c7a96ae3e&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6304/comments | https://api.github.com/repos/huggingface/transformers/issues/6304/events | https://github.com/huggingface/transformers/pull/6304 | 674,550,457 | MDExOlB1bGxSZXF1ZXN0NDY0MjIyMDYz | 6,304 | Add_argument ``gpus`` | {
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"should be fixed on master, let me know if not."
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6303/comments | https://api.github.com/repos/huggingface/transformers/issues/6303/events | https://github.com/huggingface/transformers/pull/6303 | 674,548,004 | MDExOlB1bGxSZXF1ZXN0NDY0MjIwMDMw | 6,303 | default `n_tpu_cores` in lightning_base.py | {
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"fixed on master, let me know if not."
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | The original default `n_tpu_cores` value `0` raise Error
``pytorch_lightning.utilities.exceptions.MisconfigurationException: `tpu_cores` can only be 1, 8 or [<1-8>]``
And it should be corrected as `None`. | {
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https://api.github.com/repos/huggingface/transformers/issues/6302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6302/comments | https://api.github.com/repos/huggingface/transformers/issues/6302/events | https://github.com/huggingface/transformers/issues/6302 | 674,542,965 | MDU6SXNzdWU2NzQ1NDI5NjU= | 6,302 | Default value of `n_tpu_cores` in lightning_base.py | {
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The default setting ``0`` raise Error
``pytorch_lightning.utilities.exceptions.MisconfigurationException: `tpu_cores` can only be 1, 8 or [<1-8>]``
It should be replaced by ``None``. | {
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https://api.github.com/repos/huggingface/transformers/issues/6301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6301/comments | https://api.github.com/repos/huggingface/transformers/issues/6301/events | https://github.com/huggingface/transformers/issues/6301 | 674,487,559 | MDU6SXNzdWU2NzQ0ODc1NTk= | 6,301 | Redundant code | {
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"Great catch! Feel free to PR a fix!"
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/2f2aa0c89cab9a77560e6845578f917a61081c67/examples/text-classification/run_pl_glue.py#L57
This line is useless | {
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https://api.github.com/repos/huggingface/transformers/issues/6300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6300/comments | https://api.github.com/repos/huggingface/transformers/issues/6300/events | https://github.com/huggingface/transformers/pull/6300 | 674,453,862 | MDExOlB1bGxSZXF1ZXN0NDY0MTQyODkw | 6,300 | [Reformer] fix default generators for pytorch < 1.6 | {
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"Good to merge for me.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6300?src=pr&el=h1) Report\n> Merging [#6300](https://codecov.io/gh/huggingface/transformers/pull/6300?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2f2aa0c89cab9a77560e6845578f917a61081c... | 1,596 | 1,596 | 1,596 | MEMBER | null | As far as I know in PyTorch < 1.6 torch.cuda.default_generators is only defined when running on GPU => so we can simply add a `hasattr(torch.cuda, "default_generators")` to fix Reformer for PyTorch < 1.6. | {
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https://api.github.com/repos/huggingface/transformers/issues/6299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6299/comments | https://api.github.com/repos/huggingface/transformers/issues/6299/events | https://github.com/huggingface/transformers/pull/6299 | 674,425,745 | MDExOlB1bGxSZXF1ZXN0NDY0MTE5ODc1 | 6,299 | Added an Adapter training example | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,603 | 1,603 | NONE | null | Contributed an example of adding and training adapters among Hugging's BERT layers according to the paper of [Houlsby et al. (2019)](https://arxiv.org/abs/1902.00751).
GLUE test results have also provided for this implementation where BERT(base, uncased) was used as the pre-trained model. | {
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https://api.github.com/repos/huggingface/transformers/issues/6298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6298/comments | https://api.github.com/repos/huggingface/transformers/issues/6298/events | https://github.com/huggingface/transformers/pull/6298 | 674,420,400 | MDExOlB1bGxSZXF1ZXN0NDY0MTE1NDg5 | 6,298 | Add a script to check all models are tested and documented | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6298?src=pr&el=h1) Report\n> Merging [#6298](https://codecov.io/gh/huggingface/transformers/pull/6298?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/31da35cc8939e19a292cb7f15cad5c9a1ddf7f23&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | COLLABORATOR | null | This PR adds a new script to `make quality` that checks all models are tested and documented. This way, we will get a CI failure is someone adds a new model but doesn't document it or add it to the tests so that the common tests are applied to it. This will make the library far more robust.
Note: the changes in the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6297/comments | https://api.github.com/repos/huggingface/transformers/issues/6297/events | https://github.com/huggingface/transformers/issues/6297 | 674,415,420 | MDU6SXNzdWU2NzQ0MTU0MjA= | 6,297 | Question about BERT model size (transformer block number) | {
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"Hi ZLK, we're trying to keep Github issues on our repo strictly related to code. [Our forum](https://discuss.huggingface.co) is a much better place for general questions like yours, and the people over there will better be able to answer it! Cheers"
] | 1,596 | 1,596 | 1,596 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
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https://api.github.com/repos/huggingface/transformers/issues/6296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6296/comments | https://api.github.com/repos/huggingface/transformers/issues/6296/events | https://github.com/huggingface/transformers/pull/6296 | 674,404,426 | MDExOlB1bGxSZXF1ZXN0NDY0MTAyMTc1 | 6,296 | Argument to set GPT2 inner dimension | {
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"Ignore the failing test, will be patched by https://github.com/huggingface/transformers/pull/6287",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6296?src=pr&el=h1) Report\n> Merging [#6296](https://codecov.io/gh/huggingface/transformers/pull/6296?src=pr&el=desc) into [master](https://codecov.... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Contrary to most models in the lib, GPT2 currently does not support user-chosen feedforward dimension values. This PR allows the user to choose one. By default the value is `None`; when that is the case, the model reverts to the default `4 * n_embd`. | {
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https://api.github.com/repos/huggingface/transformers/issues/6295 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6295/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6295/comments | https://api.github.com/repos/huggingface/transformers/issues/6295/events | https://github.com/huggingface/transformers/issues/6295 | 674,401,281 | MDU6SXNzdWU2NzQ0MDEyODE= | 6,295 | Fix/test convert_mbart.py | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | CONTRIBUTOR | null | from [forums](https://discuss.huggingface.co/t/how-can-i-convert-a-model-created-with-fairseq/564/10?u=sshleifer)
```
Traceback (most recent call last):
File "./convert_mbart_original_checkpoint_to_pytorch.py", line 7, in <module>
from .convert_bart_original_pytorch_checkpoint_to_pytorch imp... | {
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https://api.github.com/repos/huggingface/transformers/issues/6294 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6294/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6294/comments | https://api.github.com/repos/huggingface/transformers/issues/6294/events | https://github.com/huggingface/transformers/issues/6294 | 674,375,615 | MDU6SXNzdWU2NzQzNzU2MTU= | 6,294 | How to get word and sentence level embeddings from T5-11b | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | NONE | null | Hi can someone please tell me how to get word and sentence level embeddings for a given sentence from T5-11b? | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6293?src=pr&el=h1) Report\n> Merging [#6293](https://codecov.io/gh/huggingface/transformers/pull/6293?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d5bc32ce92ace9aaec7752e0b89d51ba18903a1b&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Fix #6262 | {
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https://api.github.com/repos/huggingface/transformers/issues/6292 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6292/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6292/comments | https://api.github.com/repos/huggingface/transformers/issues/6292/events | https://github.com/huggingface/transformers/issues/6292 | 674,370,247 | MDU6SXNzdWU2NzQzNzAyNDc= | 6,292 | inconclusive truncation strategies in encode_plus? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | NONE | null | # ❓ Questions & Help
## Details
Not sure if this is a bug or missing feature or I just misunderstood something: specifically, I'm wondering whether a common truncation strategy is missing from [`encode_plus`](https://huggingface.co/transformers/main_classes/tokenizer.html#transformers.PreTrainedTokenizer.__call__... | {
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https://api.github.com/repos/huggingface/transformers/issues/6291 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6291/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6291/comments | https://api.github.com/repos/huggingface/transformers/issues/6291/events | https://github.com/huggingface/transformers/issues/6291 | 674,347,603 | MDU6SXNzdWU2NzQzNDc2MDM= | 6,291 | Why is the lm_head layer in GPT2LMHeadModel not a parameter? | {
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"It is tied to the input layer, see https://github.com/huggingface/transformers/issues/3799 or the docs here: https://huggingface.co/transformers/model_doc/gpt2.html#transformers.GPT2LMHeadModel. ",
"If you want to know more about how to fine-tune the model, maybe this helps: https://github.com/huggingface/transf... | 1,596 | 1,596 | 1,596 | NONE | null | I loaded the model by
```
from transformers import GPT2LMHeadModel
gpt2 = GPT2LMHeadModel.from_pretrained('distilgpt2')
```
doing `[n for n,p in gpt2.named_parameters()]` gives me:
```
['gpt2.transformer.wte.weight', 'gpt2.transformer.wpe.weight', 'gpt2.transformer.h.0.ln_1.weight', 'gpt2.transformer.h.0.ln_1.b... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6290?src=pr&el=h1) Report\n> Merging [#6290](https://codecov.io/gh/huggingface/transformers/pull/6290?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d5bc32ce92ace9aaec7752e0b89d51ba18903a1b&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Add links to RuPERTa models fine-tuned on Spanish SQUAD datasets | {
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https://api.github.com/repos/huggingface/transformers/issues/6289 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6289/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6289/comments | https://api.github.com/repos/huggingface/transformers/issues/6289/events | https://github.com/huggingface/transformers/pull/6289 | 674,325,332 | MDExOlB1bGxSZXF1ZXN0NDY0MDM2ODYx | 6,289 | added functionality to output the probabilities of the generated tokens #5164 | {
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"Hi, is there any reason why this function not merged into the generate function? Hope to use this functionality to incorporate with reinforcement learning in my work.",
"Hey @ngoquanghuy99,\r\n\r\nSorry to answer only now. It is already possible to output probabilities as shown here: https://discuss.huggingface.... | 1,596 | 1,642 | 1,596 | NONE | null | see https://github.com/huggingface/transformers/issues/5164
running:
from transformers import AutoTokenizer, GPT2LMHeadModel, AutoModelWithLMHead
model_name = 'facebook/bart-base'
print("load tokenizer")
tokenizer = AutoTokenizer.from_pretrained(model_name)
print("load model")
model =... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6288?src=pr&el=h1) Report\n> Merging [#6288](https://codecov.io/gh/huggingface/transformers/pull/6288?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d5bc32ce92ace9aaec7752e0b89d51ba18903a1b&el=desc) will **decrease... | 1,596 | 1,604 | 1,604 | CONTRIBUTOR | null | This is an attempt to get translation example but end-to-end not just finetuning (so we actually run the tokenizer's training for instance). Is this something worth anything ?
Also, I felt a bit confused that summarizing and translation were in `seq2seq`, it might be more readable to split this folder into `summariza... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6287?src=pr&el=h1) Report\n> Merging [#6287](https://codecov.io/gh/huggingface/transformers/pull/6287?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d89acd07cc42a2352cca18c8facefb9442fd08ab&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | MEMBER | null | In the past week there has been a drastic increase of Circle CI test failures due to mismatching hash for large dependencies (Torch and TensorFlow), exemple [here](https://app.circleci.com/pipelines/github/huggingface/transformers/9954/workflows/2e3a66e6-8aa5-414a-9ee0-ba395be226cb/jobs/68258):
```
ERROR: THESE PACKA... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | NONE | null | I'm doing a simple fine-tuning on a Camembert-like model on SQUAD task. Because of different bugs (not of the script, but of my internal storage) the fine-tuning crashed twice and so I restarted from the **last saved checkpoint**. When I evaluated the results I noticed that, **considering every first checkpoint after r... | {
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"Sorry for the long delay on this one - I hope to be able to take a look in the next two weeks :-) ",
"And thanks a lot for the very in-detail description here!",
"Any update on this task?",
"Hi all, in case it is helpful Noam recently wrote up a maybe-exhaustive list of the differences between T5.1.1 and a v... | 1,596 | 1,605 | 1,605 | NONE | null | # 🌟 New model addition
## Model description
T5 version t5.1.1.* is very similar to the original T5 model, with the following differences:
- GEGLU activation in feed-forward hidden layer, rather than ReLU - see https://arxiv.org/abs/2002.05202 .
- Dropout was turned off in pre-training (quality win). Dropout sh... | {
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https://api.github.com/repos/huggingface/transformers/issues/6284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6284/comments | https://api.github.com/repos/huggingface/transformers/issues/6284/events | https://github.com/huggingface/transformers/pull/6284 | 674,138,841 | MDExOlB1bGxSZXF1ZXN0NDYzODgxODA1 | 6,284 | Fix the tests for Electra | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6284?src=pr&el=h1) Report\n> Merging [#6284](https://codecov.io/gh/huggingface/transformers/pull/6284?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c67d1a0259cbb3aef31952b4f37d4fee0e36f134&el=desc) will **decrease... | 1,596 | 1,600 | 1,596 | CONTRIBUTOR | null | Add the tests for `TFElectraForSequenceClassification` and `TFElectraForMultipleChoice` and fix them. | {
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] | 1,596 | 1,607 | 1,607 | NONE | null | Hello,
I would like to use a checkpoint that I trained with XLM before (https://github.com/facebookresearch/XLM).
For that I am using the following script: https://github.com/huggingface/transformers/blob/master/src/transformers/convert_xlm_original_pytorch_checkpoint_to_pytorch.py
The conversion works fine but ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | NONE | null | # ❓ Questions & Help
https://github.com/huggingface/transformers/blob/master/notebooks/04-onnx-export.ipynb
Based on different providers to infer the .onnx model, why is CUDA the fastest and tensorrt based model particularly slow
Using tensorrt model.engine Inference speed is relatively fast. Why is onnxruntime bas... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6281?src=pr&el=h1) Report\n> Merging [#6281](https://codecov.io/gh/huggingface/transformers/pull/6281?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d89acd07cc42a2352cca18c8facefb9442fd08ab&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | MEMBER | null | Pins torch != 1.6.0 as this version fails with random CUDA errors.
Fixes XLM when no `lengths` are specified.
Fix https://github.com/huggingface/transformers/issues/6182 | {
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https://api.github.com/repos/huggingface/transformers/issues/6280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6280/comments | https://api.github.com/repos/huggingface/transformers/issues/6280/events | https://github.com/huggingface/transformers/pull/6280 | 674,012,487 | MDExOlB1bGxSZXF1ZXN0NDYzNzc4NDEw | 6,280 | Add strip_accents to basic BertTokenizer. | {
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"Strange CI problem with checksum of Torch:\r\n```\r\nERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them.\r\n torch from https://files.... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | The BertTokenizerFast can turn off strip_accents with `strip_accents=False`. This PR also adds this option to the basic BertTokenizer.
Also see #6186 | {
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https://api.github.com/repos/huggingface/transformers/issues/6279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6279/comments | https://api.github.com/repos/huggingface/transformers/issues/6279/events | https://github.com/huggingface/transformers/issues/6279 | 673,982,480 | MDU6SXNzdWU2NzM5ODI0ODA= | 6,279 | TFRobertaMarkedLM model output issue | {
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"Hey @yxu02, we are trying to move questions on how to use transformer models to https://discuss.huggingface.co/. Would you mind posting it there again? :-) "
] | 1,596 | 1,596 | 1,596 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/6277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6277/comments | https://api.github.com/repos/huggingface/transformers/issues/6277/events | https://github.com/huggingface/transformers/issues/6277 | 673,872,255 | MDU6SXNzdWU2NzM4NzIyNTU= | 6,277 | Reformer now requires PyTorch 1.6.0 | {
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"yes! I think the change #6244 is also only necessary in PyTorch 1.6 -> maybe we can even hard-code `torch.__version__` in the code and use the appropriate functions accordingly. Think this is also very much related to the previous bug: https://github.com/pytorch/pytorch/issues/33546",
"#6300 should fix it."
] | 1,596 | 1,596 | 1,596 | COLLABORATOR | null | @patrickvonplaten, one of your recent PR (#6244) on Reformer introduces a dep on PyTorch 1.6.0 minimum by using `torch.cuda.default_generators`. We should see if we can find a way to work around this. | {
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https://api.github.com/repos/huggingface/transformers/issues/6276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6276/comments | https://api.github.com/repos/huggingface/transformers/issues/6276/events | https://github.com/huggingface/transformers/pull/6276 | 673,824,738 | MDExOlB1bGxSZXF1ZXN0NDYzNjIzODk2 | 6,276 | Add tensorflow version of ElectraForSequenceClassification | {
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https://api.github.com/repos/huggingface/transformers/issues/6275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6275/comments | https://api.github.com/repos/huggingface/transformers/issues/6275/events | https://github.com/huggingface/transformers/issues/6275 | 673,715,204 | MDU6SXNzdWU2NzM3MTUyMDQ= | 6,275 | How to access the parameters of the uppermost layer of the HuggingFace Transformers via ".modules()"? | {
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"Hello,\r\nI'd hate to keep bother you on this, but could you quickly tell me how I should adjust `model_RobertaForMultipleChoice.modules()` to only return those parameters that pertains to the uppermost layer of `roberta-large` pre-trained model?\r\n\r\nI know how to convert the HuggingFace Transformers into Pyro ... | 1,596 | 1,596 | 1,596 | NONE | null | Hello,
I would like to apply the function `module.PyroSample()` to the parameters that pertains to the 24th layer (the uppermost layer) of the `RobertaForMultipleChoice` pre-trained model (`roberta-large`). How should I fix the loop below so that I only fix the parameters that are from the 24th layer? Currently, the l... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | NONE | null | Hi,
I want help regarding this problem:
I want to fine-tune BERT model on my custom dataset to fill in the missing words. So, I'm using run_language_modeling to do this. However, as my dataset contains sets of words and not real sentences, I don't really care about the order so I want to try deleting the positi... | {
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"Hi @bmichele , \r\nThe `/examples/token-classification` is pretty generic, you won't need to add new example. If you process the data in the format expected by the example the you can pass the `bert-base-finnish-cased-v1` model using the model_name_or_path argument.\r\n\r\nHope this helps.",
"Hi @patil-suraj , t... | 1,596 | 1,602 | 1,602 | NONE | null | # 🚀 Feature request
Add an example in `/examples/token-classification`. The example consists in the fine-tuning of the Finnish BERT models (`bert-base-finnish-cased-v1` and `bert-base-finnish-uncased-v1`) with the FiNER dataset (https://github.com/mpsilfve/finer-data).
The example is similar to the already exist... | {
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https://api.github.com/repos/huggingface/transformers/issues/6269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6269/comments | https://api.github.com/repos/huggingface/transformers/issues/6269/events | https://github.com/huggingface/transformers/pull/6269 | 673,636,685 | MDExOlB1bGxSZXF1ZXN0NDYzNDY0ODAz | 6,269 | added t5 base and small bahasa summarization readme | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6269?src=pr&el=h1) Report\n> Merging [#6269](https://codecov.io/gh/huggingface/transformers/pull/6269?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/bd0eab351a338175053998ddfc059f1cb6424ab4&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6268/comments | https://api.github.com/repos/huggingface/transformers/issues/6268/events | https://github.com/huggingface/transformers/pull/6268 | 673,636,251 | MDExOlB1bGxSZXF1ZXN0NDYzNDY0NDM5 | 6,268 | [Don't merge yet][T5, Bart] Allow t5 torch trace | {
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"Looks innocuous to me, is there some test this allows us to enable for jit and T5?",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6268?src=pr&el=h1) Report\n> Merging [#6268](https://codecov.io/gh/huggingface/transformers/pull/6268?src=pr&el=desc) into [master](https://codecov.io/gh/huggingfa... | 1,596 | 1,601 | 1,601 | MEMBER | null | This PR would fix #5647 .
It's not a great solution IMO though.
The problem with torch script is that one **cannot** pass keyword arguments, but has to pass positional arguments and it is not possible to pass `None` because every input is required to be a tensor.
Because T5 requires both `input_ids` and `decoder_... | {
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https://api.github.com/repos/huggingface/transformers/issues/6267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6267/comments | https://api.github.com/repos/huggingface/transformers/issues/6267/events | https://github.com/huggingface/transformers/issues/6267 | 673,525,932 | MDU6SXNzdWU2NzM1MjU5MzI= | 6,267 | Unable to make inference from hosted api for a pretrained model that I uploaded. | {
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"Fixed now. \r\n\r\nhttps://huggingface.co/shrugging-grace/tweetclassifier?text=I+like+you.+I+love+you\r\n\r\nYou should add a label map to get the correct labels displayed in the widget.\r\n\r\nThanks!",
"Thank you! Really appreciate the help and prompt response. "
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | I have successfully managed to upload a model (https://huggingface.co/shrugging-grace/tweetclassifier) via the transformers cli. I am also able to generate inferences from a local Jupyter notebook to that model.
However, when I go on the https://huggingface.co/shrugging-grace/tweetclassifier, it comes up with the fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/6266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6266/comments | https://api.github.com/repos/huggingface/transformers/issues/6266/events | https://github.com/huggingface/transformers/issues/6266 | 673,436,188 | MDU6SXNzdWU2NzM0MzYxODg= | 6,266 | Bert Mesh Tensorflow | {
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"Thanks a lot for open this @agemagician ! I think we should be able to adapt `modeling_bert.py` to be compatible with this model.\r\nFor model parallelism one could take a look at this PR: https://github.com/huggingface/transformers/pull/3578.\r\nRegarding \"relative attention encoding\" does this just correspond ... | 1,596 | 1,611 | 1,611 | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
Bert Mesh Tensorflow is a modification of the original Bert that allows two important features:
1. Model parallelism.
2. Relative attention encoding.
## Open source status
* [X] the model implementation is available: (give details)
https://github.com/tensorflo... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6265?src=pr&el=h1) Report\n> Merging [#6265](https://codecov.io/gh/huggingface/transformers/pull/6265?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9149f00d1a4650bafa7e1cd73e10398193c852c&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Other modeling architectures (`modeling_*.py`) use `CrossEntropyLoss` and not `F.cross_entropy`.
Fixed this consistency in `modeling_bart.py`. | {
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https://api.github.com/repos/huggingface/transformers/issues/6264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6264/comments | https://api.github.com/repos/huggingface/transformers/issues/6264/events | https://github.com/huggingface/transformers/issues/6264 | 673,389,429 | MDU6SXNzdWU2NzMzODk0Mjk= | 6,264 | TF LMHead very slow: TFGPT2LMHeadModel is 7 times slower than Torch GPT2LMHeadModel | {
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"Multiple issues may be related to this.\r\n[My finetuned gpt2 model is taking wayy too long to generate samples, like 5-8 minutes] \r\nhttps://github.com/huggingface/transformers/issues/6173\r\n[[Benchmark] TFGPT2LMHeadModel is five times slower than GPT2LMHeadModel]\r\nhttps://github.com/huggingface/transformers/... | 1,596 | 1,646 | 1,609 | NONE | null | The benchmark shows the Tensorflow TFGPT2LMHeadModel is 7 times (140ms) slower than Torch GPT2LMHeadModel implementation (20ms). Based on the profile tool from latest https://www.tensorflow.org/tfx/serving/tensorboard, the bottleneck is here. https://github.com/huggingface/transformers/blob/d9149f00d1a4650bafa7e1cd73e1... | {
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"I'm getting the same issue. Curious how did you solve yours? @mt324010 ",
"> I'm getting the same issue. Curious how did you solve yours? @mt324010\r\nI was using another embedding and the index was out of the given range. \r\nI think it's better to double check your code\r\n",
"Yeah, you're right. I had probl... | 1,596 | 1,686 | 1,596 | NONE | null | Hi, I tried to add some other embeddings in your BertEmbedding source code and then load the pretrained weights 'bert-base-chinese'.
When I run the forward method, I got the issue
'RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)`'
Can someone help please? Thanks a lot | {
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https://api.github.com/repos/huggingface/transformers/issues/6262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6262/comments | https://api.github.com/repos/huggingface/transformers/issues/6262/events | https://github.com/huggingface/transformers/issues/6262 | 673,295,998 | MDU6SXNzdWU2NzMyOTU5OTg= | 6,262 | Incorrect tokenization for MarianNMT models in example script. | {
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"Thanks for this catch and detailed report. Feel free to chime in on the Linked pull request #6293 !\r\n"
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.0.2
- Platform: Linux-4.4.0-1110-aws-x86_64-with-Ubuntu-16.04-xenial
- Python version: 3.7.8
- PyTorc... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6261?src=pr&el=h1) Report\n> Merging [#6261](https://codecov.io/gh/huggingface/transformers/pull/6261?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9149f00d1a4650bafa7e1cd73e10398193c852c&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Fix typo at get_linear_schedule_with_warmup from `totale` to `total`. | {
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https://api.github.com/repos/huggingface/transformers/issues/6260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6260/comments | https://api.github.com/repos/huggingface/transformers/issues/6260/events | https://github.com/huggingface/transformers/pull/6260 | 673,241,993 | MDExOlB1bGxSZXF1ZXN0NDYzMTM1NTAy | 6,260 | cleanup tf unittests: part 2 | {
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"Hmm, looks like `isort` and `flake` are in conflict with each other. `make style` reformatted the code to:\r\n```\r\n result = DictAttr({\"sequence_output\": sequence_output.numpy(), \"pooled_output\": pooled_output.numpy(),})\r\n```\r\nand flake complains:\r\n```\r\ntests/test_modeling_tf_albert.py:139:110... | 1,596 | 1,597 | 1,597 | CONTRIBUTOR | null | This is part 2 of https://github.com/huggingface/transformers/pull/6196 and the original issue https://github.com/huggingface/transformers/issues/5973. This PR brings the tf and pt tests and templates to an almost identical template.
**edit: as other parts of code have evolved, the part of this comment below this li... | {
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https://api.github.com/repos/huggingface/transformers/issues/6259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6259/comments | https://api.github.com/repos/huggingface/transformers/issues/6259/events | https://github.com/huggingface/transformers/issues/6259 | 673,229,882 | MDU6SXNzdWU2NzMyMjk4ODI= | 6,259 | Bart encoder with add_final_layer_norm | {
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"Any idea?",
"You are correct. It will be fixed in the blenderbot PR if not sooner."
] | 1,596 | 1,601 | 1,601 | NONE | null | https://github.com/huggingface/transformers/blob/91cb95461e438dc57555c4f57f8ce95a56328036/src/transformers/modeling_bart.py#L305
I feel like it should be
self.layer_norm = LayerNorm(config.d_model) if config.add_final_layer_norm else None
as in the BartDecoder.
https://github.com/huggingface/transformers/blob/... | {
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https://api.github.com/repos/huggingface/transformers/issues/6258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6258/comments | https://api.github.com/repos/huggingface/transformers/issues/6258/events | https://github.com/huggingface/transformers/issues/6258 | 673,210,392 | MDU6SXNzdWU2NzMyMTAzOTI= | 6,258 | Gradient Checkpointing with Transformers BERT model | {
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"> Another observation: while checkpointing, the model's training speed also increases considerably which is totally odd to what I have learned from gradient checkpointing. Is there any problem with the implementation? or have I done any part wrong?\r\n\r\nfrom torch docs\r\n> Checkpointing works by trading compute... | 1,596 | 1,602 | 1,602 | NONE | null | Hi @sshleifer. I'm doing a summarization task (finetuning bert for extractive summarization). I'd like to use gradient checkpointing to save GPU memory. Here, I'm posting a description of the problem that I'm facing. I'd be grateful if you'd help me get around this.
- `transformers` version: 3.0.2
- Platform: Linux... | {
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https://api.github.com/repos/huggingface/transformers/issues/6257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6257/comments | https://api.github.com/repos/huggingface/transformers/issues/6257/events | https://github.com/huggingface/transformers/pull/6257 | 673,181,229 | MDExOlB1bGxSZXF1ZXN0NDYzMDg4OTY2 | 6,257 | Fix dostring of class XLNetConfig | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6257?src=pr&el=h1) Report\n> Merging [#6257](https://codecov.io/gh/huggingface/transformers/pull/6257?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9149f00d1a4650bafa7e1cd73e10398193c852c&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | This PR fixes dostring of class XLNetConfig due to web page display problem. | {
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https://api.github.com/repos/huggingface/transformers/issues/6256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6256/comments | https://api.github.com/repos/huggingface/transformers/issues/6256/events | https://github.com/huggingface/transformers/issues/6256 | 673,133,741 | MDU6SXNzdWU2NzMxMzM3NDE= | 6,256 | LongformerForSequenceClassification has unused layers, making it unable to fine-tune with Data Distributed Parallel (required for gradient checkpointing) | {
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"Hey @Weilin37 , sorry to answer so late - this looks like a difficult bug. Let's start with this:\r\nCan you check if your code works on this branch: `try_if_works_for_longformer_mult_gpu` . The changes I did to the branch can be seen here: https://github.com/huggingface/transformers/pull/6607. Since the pooler is... | 1,596 | 1,628 | 1,601 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.0.2
- Platform: Linux-4.14.186-110.268.amzn1.x86_64-x86_64-with-glibc2.2.5
- Python version: 3.6.5
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https://api.github.com/repos/huggingface/transformers/issues/6255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6255/comments | https://api.github.com/repos/huggingface/transformers/issues/6255/events | https://github.com/huggingface/transformers/pull/6255 | 673,130,136 | MDExOlB1bGxSZXF1ZXN0NDYzMDQ4MzU5 | 6,255 | Update Model Card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6255?src=pr&el=h1) Report\n> Merging [#6255](https://codecov.io/gh/huggingface/transformers/pull/6255?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9149f00d1a4650bafa7e1cd73e10398193c852c&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Added citation and paper links. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6254?src=pr&el=h1) Report\n> Merging [#6254](https://codecov.io/gh/huggingface/transformers/pull/6254?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9149f00d1a4650bafa7e1cd73e10398193c852c&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Added citation and paper links. | {
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https://api.github.com/repos/huggingface/transformers/issues/6252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6252/comments | https://api.github.com/repos/huggingface/transformers/issues/6252/events | https://github.com/huggingface/transformers/pull/6252 | 673,130,075 | MDExOlB1bGxSZXF1ZXN0NDYzMDQ4MzA4 | 6,252 | Update Model Card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6251?src=pr&el=h1) Report\n> Merging [#6251](https://codecov.io/gh/huggingface/transformers/pull/6251?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9149f00d1a4650bafa7e1cd73e10398193c852c&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Added citation and paper links. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6250?src=pr&el=h1) Report\n> Merging [#6250](https://codecov.io/gh/huggingface/transformers/pull/6250?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9149f00d1a4650bafa7e1cd73e10398193c852c&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Added citation and paper links. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6249?src=pr&el=h1) Report\n> Merging [#6249](https://codecov.io/gh/huggingface/transformers/pull/6249?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9149f00d1a4650bafa7e1cd73e10398193c852c&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Added citation and paper links. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6247?src=pr&el=h1) Report\n> Merging [#6247](https://codecov.io/gh/huggingface/transformers/pull/6247?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e4920c92d65f5efded4cc4c8c754d0d553ef4bbc&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | COLLABORATOR | null | This PR continues the work on model outputs and treats all TF models (except T5) to use them. Since the new output type is opt-in only (default to `return_dict` is `False`) there is no breaking changes.
In the tests, I've enabled the new output types and this makes two changes necessary:
- we can no longer unpack o... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6246?src=pr&el=h1) Report\n> Merging [#6246](https://codecov.io/gh/huggingface/transformers/pull/6246?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/972535ea74c7b30987bc31c6621a2bbb58f82ca6&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Added citation and paper links. | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | NONE | null | # 🌟 New model addition
## Model description
DeLight, that delivers similar or better performance than transformer-based models with significantly fewer parameters. DeLighT more efficiently allocates parameters both (1) within each Transformer block using DExTra, a deep and light-weight transformation and (2) acros... | {
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"Sorry, it is really annoying that it shows old commits (that have been squashed and merged into transformers in a previous PR).\r\n\r\nAny idea how I could remove those old commits?",
"No big deal, I'll squash everything anyways.\r\n\r\nIn the future you can just delete your master branch and recreate it from up... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6241 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6241/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6241/comments | https://api.github.com/repos/huggingface/transformers/issues/6241/events | https://github.com/huggingface/transformers/pull/6241 | 672,856,991 | MDExOlB1bGxSZXF1ZXN0NDYyODIwMzQx | 6,241 | Trainer + wandb quality of life logging tweaks | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6241?src=pr&el=h1) Report\n> Merging [#6241](https://codecov.io/gh/huggingface/transformers/pull/6241?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0513f8d275022d4055b710a33cd520b2000982bf&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | As discussed on Slack, this PR adds the possibility for users to specify a `name` for the run in their wandb project, and logs the model config in addition to the trainer args in the `wandb.init` call (if there is a duplicate key, it is overriden by the trainer args) | {
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https://api.github.com/repos/huggingface/transformers/issues/6240 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6240/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6240/comments | https://api.github.com/repos/huggingface/transformers/issues/6240/events | https://github.com/huggingface/transformers/issues/6240 | 672,850,875 | MDU6SXNzdWU2NzI4NTA4NzU= | 6,240 | Documentation bug in GPT2Config | {
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"Good catch!",
"#6352"
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | In [this page](https://huggingface.co/transformers/model_doc/gpt2.html), GPT2Config's initializer_range default value is 16. But the source code [says](https://github.com/huggingface/transformers/blob/master/src/transformers/configuration_gpt2.py#L130) it is 0.02. | {
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https://api.github.com/repos/huggingface/transformers/issues/6239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6239/comments | https://api.github.com/repos/huggingface/transformers/issues/6239/events | https://github.com/huggingface/transformers/pull/6239 | 672,830,515 | MDExOlB1bGxSZXF1ZXN0NDYyNzk4MTQ2 | 6,239 | add targets arg to fill-mask pipeline | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6239?src=pr&el=h1) Report\n> Merging [#6239](https://codecov.io/gh/huggingface/transformers/pull/6239?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0513f8d275022d4055b710a33cd520b2000982bf&el=desc) will **increase... | 1,596 | 1,598 | 1,597 | CONTRIBUTOR | null | Proposal to add a `targets` arg when calling `FillMaskPipeline`, allowing a user to compare different target tokens in addition to getting the top k predictions. This could be useful in a number of areas, such as in probing model behavior:
```python
nlp = pipeline('fill-mask', topk=2)
nlp("<mask> should be at home... | {
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https://api.github.com/repos/huggingface/transformers/issues/6238 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6238/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6238/comments | https://api.github.com/repos/huggingface/transformers/issues/6238/events | https://github.com/huggingface/transformers/issues/6238 | 672,771,917 | MDU6SXNzdWU2NzI3NzE5MTc= | 6,238 | Discrepancy in the pad_token_id between the tokenizer and the model code of the T5 | {
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"Hi @eyal-str , `pad_token_id` is indeed 0 for T5. But it's a convention to use -100 as ignore index in `CrossEntropyLoss`, so when preparing `labels` the `pad_token_ids` are replaced by -100. ",
"@patil-suraj Thanks for the prompt reply. I just saw what you meant in the DataCollatorForLanguageModeling.mask_token... | 1,596 | 1,596 | 1,596 | NONE | null | - `transformers` version: 2.11.0
- Platform: Darwin-19.3.0-x86_64-i386-64bit
- Python version: 3.7.6
tokenizers: @mfuntowicz
T5: @patrickvonplaten
It seems that there's a discrepancy between the tokenizer and the model code of the T5 regarding the pad_token_id.
looking at the following output the pad_token_... | {
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https://api.github.com/repos/huggingface/transformers/issues/6237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6237/comments | https://api.github.com/repos/huggingface/transformers/issues/6237/events | https://github.com/huggingface/transformers/pull/6237 | 672,700,741 | MDExOlB1bGxSZXF1ZXN0NDYyNjg5OTQ4 | 6,237 | [Reformer] fix reformer fp16 test | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6237?src=pr&el=h1) Report\n> Merging [#6237](https://codecov.io/gh/huggingface/transformers/pull/6237?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7ea9b2db3732904014b9121fb8a5c896ae00d4cf&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | MEMBER | null | Fp16 tests were failing because of typo. Pinging @LysandreJik @sgugger for notification. | {
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https://api.github.com/repos/huggingface/transformers/issues/6236 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6236/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6236/comments | https://api.github.com/repos/huggingface/transformers/issues/6236/events | https://github.com/huggingface/transformers/issues/6236 | 672,680,183 | MDU6SXNzdWU2NzI2ODAxODM= | 6,236 | losses does not decrease when trainning with TFTransfoXLLMHeadModel . | {
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"Hey @gaiyongbo,\r\n\r\nThanks for the issue. Will ping our TransfoXL master - @TevenLeScao can you take look maybe? ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,603 | 1,603 | NONE | null | I inspect the source code , because the weight initializer in class TFAdaptiveSoftmaxMask were all set to zeros. This causes the gradient can't propagate back . please double check that .
eg: weight = self.add_weight(
shape=(r_idx - l_idx, d_emb_i,),
initializer='ze... | {
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https://api.github.com/repos/huggingface/transformers/issues/6235 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6235/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6235/comments | https://api.github.com/repos/huggingface/transformers/issues/6235/events | https://github.com/huggingface/transformers/pull/6235 | 672,551,617 | MDExOlB1bGxSZXF1ZXN0NDYyNTY2NjY0 | 6,235 | Upgrade pip ci | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6235?src=pr&el=h1) Report\n> Merging [#6235](https://codecov.io/gh/huggingface/transformers/pull/6235?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5deed37f9f1a0f5794a2a7cd02164ff265c59524&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | MEMBER | null | The SHA failures that made the tests flaky the last few weeks seem to come from a mismatch of SHA signatures from the pip cache and downloaded package, which may be due to incomplete/failed downloads. This PR removes the cache usage, which does not slow down the test and makes them more robust. | {
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https://api.github.com/repos/huggingface/transformers/issues/6234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6234/comments | https://api.github.com/repos/huggingface/transformers/issues/6234/events | https://github.com/huggingface/transformers/pull/6234 | 672,539,165 | MDExOlB1bGxSZXF1ZXN0NDYyNTU2MzQz | 6,234 | Upgrade pip when doing CI | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6234?src=pr&el=h1) Report\n> Merging [#6234](https://codecov.io/gh/huggingface/transformers/pull/6234?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/57eb1cb68d1c567b25ac256444e5c1a77b8817a7&el=desc) will **not chan... | 1,596 | 1,596 | 1,596 | MEMBER | null | Try to fix the flaky tests by upgrading pip before installing dependencies. | {
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https://api.github.com/repos/huggingface/transformers/issues/6233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6233/comments | https://api.github.com/repos/huggingface/transformers/issues/6233/events | https://github.com/huggingface/transformers/issues/6233 | 672,519,327 | MDU6SXNzdWU2NzI1MTkzMjc= | 6,233 | mismatch keys of glue tasks | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,596 | 1,602 | 1,602 | CONTRIBUTOR | null |
```
>>> from transformers import glue_output_modes, glue_processors, glue_tasks_num_labels, glue_compute_metrics``
>>> glue_tasks_num_labels.keys()
dict_keys(['cola', 'mnli', 'mrpc', 'sst-2', 'sts-b', 'qqp', 'qnli', 'rte', 'wnli'])
>>> glue_output_modes.keys()
dict_keys(['cola', 'mnli', 'mnli-mm', 'mrpc', 's... | {
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https://api.github.com/repos/huggingface/transformers/issues/6232 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6232/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6232/comments | https://api.github.com/repos/huggingface/transformers/issues/6232/events | https://github.com/huggingface/transformers/pull/6232 | 672,496,514 | MDExOlB1bGxSZXF1ZXN0NDYyNTIxMDk1 | 6,232 | [WIP] lightning_base: support --lr_scheduler with multiple possibilities | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6232?src=pr&el=h1) Report\n> Merging [#6232](https://codecov.io/gh/huggingface/transformers/pull/6232?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d8dbf3b75d58667e2ecaf42b4aa076e83d034d26&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | This is step 1 to implement https://github.com/huggingface/transformers/issues/6070
This PR adds support to:
```
python finetune.py [...] --lr_scheduler=SCHEDULER [...]
```
in lightning_base (so seq2seq examples, etc.)
to get help:
```
python finetune.py [...] --lr_scheduler=help [...]
```
gives:
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6231 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6231/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6231/comments | https://api.github.com/repos/huggingface/transformers/issues/6231/events | https://github.com/huggingface/transformers/pull/6231 | 672,484,635 | MDExOlB1bGxSZXF1ZXN0NDYyNTExNjA2 | 6,231 | testing utils: capturing std streams context manager | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6231?src=pr&el=h1) Report\n> Merging [#6231](https://codecov.io/gh/huggingface/transformers/pull/6231?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/57eb1cb68d1c567b25ac256444e5c1a77b8817a7&el=desc) will **decrease... | 1,596 | 1,597 | 1,597 | CONTRIBUTOR | null | A while ago I developed this set of classes `CaptureStd`, `CaptureStdout`, `CaptureStderr`, which are very useful in testing outputs.
Usage examples:
```
with CaptureStdout() as cs:
print("Secret message")
print(f"captured: {cs.out}")
import sys
with CaptureStderr() as cs:
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6230/comments | https://api.github.com/repos/huggingface/transformers/issues/6230/events | https://github.com/huggingface/transformers/pull/6230 | 672,384,136 | MDExOlB1bGxSZXF1ZXN0NDYyNDMxMDA1 | 6,230 | mBART Conversion script | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6230?src=pr&el=h1) Report\n> Merging [#6230](https://codecov.io/gh/huggingface/transformers/pull/6230?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/268bf34630aaae4036dbe3e45a0e8a0fa75e18f9&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | I forgot to check in an mbart conversion script a few months ago after converting mbart-large-en-ro and mbart-large-cc25 in jupyter.
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https://api.github.com/repos/huggingface/transformers/issues/6229 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6229/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6229/comments | https://api.github.com/repos/huggingface/transformers/issues/6229/events | https://github.com/huggingface/transformers/pull/6229 | 672,377,029 | MDExOlB1bGxSZXF1ZXN0NDYyNDI1MDUy | 6,229 | [s2s] Document better mbart finetuning command | {
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https://api.github.com/repos/huggingface/transformers/issues/6228 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6228/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6228/comments | https://api.github.com/repos/huggingface/transformers/issues/6228/events | https://github.com/huggingface/transformers/issues/6228 | 672,361,373 | MDU6SXNzdWU2NzIzNjEzNzM= | 6,228 | ValueError: Unrecognized model identifier in facebook/bart-large-cnn. | {
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"Please only tag one or two people.\r\nI think `pip install transformers --upgrade` will fix your problem."
] | 1,596 | 1,598 | 1,598 | NONE | null | ## Environment info
- `transformers` version: 2.2.2
- Platform: windows 10
- Python version: 3.7.8
- PyTorch version (GPU?): 1.6.0+cpu
- Tensorflow version (GPU?):
- Using GPU in script?:No
- Using distributed or parallel set-up in script?:No
albert, bert, GPT2, XLM: @LysandreJik
tokenizers: @... | {
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https://api.github.com/repos/huggingface/transformers/issues/6227 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6227/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6227/comments | https://api.github.com/repos/huggingface/transformers/issues/6227/events | https://github.com/huggingface/transformers/pull/6227 | 672,343,791 | MDExOlB1bGxSZXF1ZXN0NDYyMzk3OTI0 | 6,227 | Add SequenceClassification and MultipleChoice TF models to Electra | {
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"@LysandreJik I don't understand why the Torch tests are trying to execute a TF test :thinking: \r\n\r\n```\r\n______________ ERROR collecting tests/test_modeling_tf_electra.py ______________\r\nImportError while importing test module '/home/circleci/transformers/tests/test_modeling_tf_electra.py'.\r\nHint: make su... | 1,596 | 1,600 | 1,596 | CONTRIBUTOR | null | This PR adds SequenceClassification and MultipleChoice TF models to Electra. It is a follow up to the PR https://github.com/huggingface/transformers/pull/4654.
@LysandreJik is it possible to add `"summary_proj_to_labels": true` to the Electra config? | {
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https://api.github.com/repos/huggingface/transformers/issues/6226 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6226/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6226/comments | https://api.github.com/repos/huggingface/transformers/issues/6226/events | https://github.com/huggingface/transformers/issues/6226 | 672,330,181 | MDU6SXNzdWU2NzIzMzAxODE= | 6,226 | Can't load config for [community model] | {
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"Currently working on a fix. Will update here",
"Should be fixed now",
"Hey I'm facing the same issue with two models I uploaded today\r\nhttps://huggingface.co/rohanrajpal/bert-base-en-hi-codemix-cased?text=I+like+you.+I+love+you\r\nhttps://huggingface.co/rohanrajpal/bert-base-en-es-codemix-cased?text=I+like+y... | 1,596 | 1,627 | 1,596 | CONTRIBUTOR | null | Although I can use a fine-tuned GPT2 model from code, the model page complains about the config file (which is already uploaded).
at https://huggingface.co/akhooli/gpt2-small-arabic-poetry (for a prompt), I get:
```
Can't load config for 'akhooli/gpt2-small-arabic-poetry'. Make sure that: - 'akhooli/gpt2-small-ara... | {
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https://api.github.com/repos/huggingface/transformers/issues/6225 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6225/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6225/comments | https://api.github.com/repos/huggingface/transformers/issues/6225/events | https://github.com/huggingface/transformers/pull/6225 | 672,309,309 | MDExOlB1bGxSZXF1ZXN0NDYyMzY5MDc1 | 6,225 | typo | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6225?src=pr&el=h1) Report\n> Merging [#6225](https://codecov.io/gh/huggingface/transformers/pull/6225?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0513f8d275022d4055b710a33cd520b2000982bf&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6224/comments | https://api.github.com/repos/huggingface/transformers/issues/6224/events | https://github.com/huggingface/transformers/pull/6224 | 672,306,531 | MDExOlB1bGxSZXF1ZXN0NDYyMzY2ODEz | 6,224 | test_tokenization_common.py: Remove redundant coverage | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6224?src=pr&el=h1) Report\n> Merging [#6224](https://codecov.io/gh/huggingface/transformers/pull/6224?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0513f8d275022d4055b710a33cd520b2000982bf&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | The deleted logic is already covered [here](https://github.com/huggingface/transformers/blob/3a58d6b22d436c71ee7511dbcae5128ed787ebf5/tests/test_tokenization_common.py#L1079)
| {
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https://api.github.com/repos/huggingface/transformers/issues/6223 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6223/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6223/comments | https://api.github.com/repos/huggingface/transformers/issues/6223/events | https://github.com/huggingface/transformers/issues/6223 | 672,300,072 | MDU6SXNzdWU2NzIzMDAwNzI= | 6,223 | benchmarking API: `no_` arguments, double negation, defaults | {
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"> the reason for having both no_ and \"no-negation-prefix\" arguments is that all boolean arguments should be set to False as a default: e.g. the default should be to benchmark \"inference\", but to not benchmark \"training\". Guess it's up for discussion whether this is the best design choice.\r\n\r\nWhy can't th... | 1,596 | 1,602 | 1,602 | CONTRIBUTOR | null | Another discussion moved to an issue:
Here is the gist of it:
This help entry: https://github.com/huggingface/transformers/blob/master/src/transformers/benchmark/benchmark_args_utils.py#L74
goes:
```
"help": "Don't use multiprocessing for memory and speed measurement. It is highly recommended to
use multip... | {
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"Thinking more about it. Perhaps it's a question of benchmarking the whole vs. parts. \r\n\r\nFor example, if we want to memory profile a specific function, measuring the whole (that is including everything else that came before the function) could give us wrong results, because perhaps some parts of the whole got ... | 1,596 | 1,607 | 1,607 | CONTRIBUTOR | null | Bringing this discussion from slack to a dedicated issue so it's easier to track and discuss:
Here is the gist of the discussion so far:
I said:
Currently `benchmark._measure_memory()` doesn't take into account cudnn kernel loading, so even if you measure the most trivial function on pytorch you end up with ~0... | {
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