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correct label extraction + add note on discrepancies on trained MNLI models and HANS
Feel free to merge if it looks good! | {
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"From what I can see, test failures are because of the usage of `typing.Literal`, which is available starting on Python3.8.\r\n\r\nThe `typing_extensions` (from mypy devs) package backports such features into older versions of Python. If it's ok with the devs to add it to `setup.py`, I can do so. Otherwise, we can ... | 1,596 | 1,613 | 1,602 | NONE | null | 1. This is purely a type annotation PR( pinging @sgugger ), except for number 3 below.
2. Admittedly, this PR orients type annotations as a code-correctness tool rather than a documentation tool, which I haven't seen in the repo before.
3. The only non-type-annotation change is making `DataProcessor` inherit from `a... | {
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"From previous PR:\r\n\r\n\r\n\r\n**LysandreJik 4 hours ago Member**\r\nShouldn't the bert-based-case and bertBasedCase be bert-base-cased and bertBaseCased?\r\n\r\nBy the way, why is this model specific? Are we using these values somewhere?\r\n\r\n\r\n\r\n**zcain117 19 minutes ago Author**\r\nFixed that typo.\r\n\... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Use GKE to run TPU CI testing once per hour using latest code in master branch. | {
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"My main reason for not using PyTorch's `max_memory_resevered` function is that there is some GPU memory that is used, but not accounted for.",
"> One can see that the difference is always 856 MB (besides one exception where it is 868 MB)\r\n\r\nI won't be surprised if the delta of 856MB that you reported - is th... | 1,596 | 1,602 | 1,602 | MEMBER | null | Currently, the benchmarking tools make use of a multi-processing to be sure that all memory is released after each measurement and makes use of the `py3nvml` library to measure "peak GPU usage".
After some internal discussion, it is questionable whether the current code gives peak GPU memory usage. Thus, I ran a co... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6217?src=pr&el=h1) Report\n> Merging [#6217](https://codecov.io/gh/huggingface/transformers/pull/6217?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/06f1692b023a701ab2bb443fa4f0bdd58c6bd234&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | Why remove the tips:
> - BERT is a model with absolute position embeddings so it's usually advised to pad the inputs on
> the right rather than the left.
Yes but since we don't provide an option to pad from the left I think it's not necessary.
> - BERT was trained with a masked language modeling (MLM) objec... | {
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This adds lowercasing handling to GPT2TokenizerFast and RobertaTokenizerFast tokenizers | {
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"I've just openned a pull request that handles this for GPT2TokenizerFast and RobertaTokenizerFast",
"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 currently pretraining a model from scratch based on RoBERTa architecture and am using a custom `ByteLevelBPETokenizer` tokenizer trained on my data with `lowercase` set to `True`.
For ease of use, I load it with
```
from transformers import RobertaTokenizerFast
tokenizer = RobertaTokenizerFast(
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@sgugger | {
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"Thanks @sgugger for theses helpful suggestions!. Will keep these in mind for future PRs.",
"@sgugger , can you help me with the build_doc failure ? Thanks! ",
"Fixed, you needed to have the beginning of the docstrings on a new line for sphinx to understand the indentation.",
"# [Codecov](https://codecov.io/... | 1,596 | 1,597 | 1,597 | MEMBER | null | This PR adds prepare_seq2seq_batch method to BartTokenizer as per the proposal in #6080
@sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/6211 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6211/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6211/comments | https://api.github.com/repos/huggingface/transformers/issues/6211/events | https://github.com/huggingface/transformers/issues/6211 | 672,036,196 | MDU6SXNzdWU2NzIwMzYxOTY= | 6,211 | Error when fine tuning GPT2 on GPU | {
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"Hi @antocapp thank you for reporting this. ignore index (-100) shouldn't be set when `pad_token_id` is `None`, which is the case with GPT-2 ",
"Hi @patil-suraj , thanks for the answer! Where should I set this parameter?\r\n\r\nedit: Never mind, just saw the fix you merged. Thanks!"
] | 1,596 | 1,596 | 1,596 | NONE | null | An error occur when training with `run_language_modeling.py` file (Ubuntu 18, pytorch with cuda compiled), while the error does not occur on Macbook without the GPU
```
File "train.py", line 283, in <module>
main()
File "train.py", line 247, in main
trainer.train(model_path=model_path)
File "/home... | {
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https://api.github.com/repos/huggingface/transformers/issues/6210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6210/comments | https://api.github.com/repos/huggingface/transformers/issues/6210/events | https://github.com/huggingface/transformers/issues/6210 | 672,034,178 | MDU6SXNzdWU2NzIwMzQxNzg= | 6,210 | XLM-R has extremely low accuracy after fine-tuning on MNLI | {
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"~Someone mentioned that it could be due to the label indices being swapped for Roberta, but it seems there is already some [code](https://github.com/huggingface/transformers/blob/57eb1cb68d1c567b25ac256444e5c1a77b8817a7/src/transformers/data/datasets/glue.py#L100) to deal with that.~ Tested Roberta and it works f... | 1,596 | 1,671 | 1,603 | 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-4.14.138+-x86_64-with-debian-buster-sid
- Python version: 3.6.9
- PyTorch versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/6209 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6209/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6209/comments | https://api.github.com/repos/huggingface/transformers/issues/6209/events | https://github.com/huggingface/transformers/issues/6209 | 672,033,238 | MDU6SXNzdWU2NzIwMzMyMzg= | 6,209 | Tips for Tensorflow 2.0 NER task by using fit method. | {
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"@aiscientist \r\nWhy would you need to use `model.fit()` method? I think it is a more low level way to train your model. There's an easy way to train HuggingFace models with `TFTrainer`. All you need to do, is to initialize pretrained config, tokenizer and model, create your own Dataset class for NER data, and jus... | 1,596 | 1,602 | 1,602 | 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/ .
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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 | 
上图是训练模型时调用的forward方法，这个方法里的代码为空，下图是报的错，请教您这个问题该如何解决？非常感谢您！！！ | {
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https://api.github.com/repos/huggingface/transformers/issues/6207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6207/comments | https://api.github.com/repos/huggingface/transformers/issues/6207/events | https://github.com/huggingface/transformers/pull/6207 | 671,961,733 | MDExOlB1bGxSZXF1ZXN0NDYyMDgyMTg5 | 6,207 | Problems with TFT5 | {
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"Closing in favor of #6214 "
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | As far as we are concerned, Tensorflow T5 has some problems:
- Shifting inputs right should add at the beginning of the sequences a *Start of Sequence token* (padding token in T5 case), but currently, it generates a useless sequence of zeros. This is due to this line of code:
```python
shifted_input_ids = tf.zer... | {
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https://api.github.com/repos/huggingface/transformers/issues/6206 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6206/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6206/comments | https://api.github.com/repos/huggingface/transformers/issues/6206/events | https://github.com/huggingface/transformers/issues/6206 | 671,947,240 | MDU6SXNzdWU2NzE5NDcyNDA= | 6,206 | Error while saving electra model in tensorflow "savedModel" format | {
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"Hey!\r\n\r\nSorry for the inconvenience, there are actually some issues with saved model, but we are currently working on several fix in this PR https://github.com/huggingface/transformers/pull/5468",
"Thanks for quick response!\r\nWill wait for this PR to complete :-) ",
"The PR has been merged in master, can... | 1,596 | 1,609 | 1,596 | 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-5.3.0-1034-azure-x86_64-with-debian-buster-sid
- Python version: 3.6.10
- PyTor... | {
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https://api.github.com/repos/huggingface/transformers/issues/6205 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6205/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6205/comments | https://api.github.com/repos/huggingface/transformers/issues/6205/events | https://github.com/huggingface/transformers/pull/6205 | 671,701,558 | MDExOlB1bGxSZXF1ZXN0NDYxODY5MjMx | 6,205 | s2s: fix LR logging, remove some dead code. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6205?src=pr&el=h1) Report\n> Merging [#6205](https://codecov.io/gh/huggingface/transformers/pull/6205?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/82a0e2b67ec94d28b20e24b3393644002bbd0d4b&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6204 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6204/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6204/comments | https://api.github.com/repos/huggingface/transformers/issues/6204/events | https://github.com/huggingface/transformers/issues/6204 | 671,667,437 | MDU6SXNzdWU2NzE2Njc0Mzc= | 6,204 | QA Loss Cleanup | {
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"I will experiment. Thank you!\r\n",
"See: https://github.com/huggingface/transformers/pull/6430",
"So I guess we can close this one, since the experiment wasn't accepted.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occu... | 1,596 | 1,605 | 1,605 | CONTRIBUTOR | null | This snippet appears a lot of places and could be factored out into a `calc_qa_loss(logits)`
Requires some care, because I'm not sure how good the test coverage is, and if it doesn't improve readability we shouldn't do it.
```python
logits = self.qa_outputs(sequence_output)
start_logits, end_l... | {
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https://api.github.com/repos/huggingface/transformers/issues/6203 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6203/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6203/comments | https://api.github.com/repos/huggingface/transformers/issues/6203/events | https://github.com/huggingface/transformers/issues/6203 | 671,653,996 | MDU6SXNzdWU2NzE2NTM5OTY= | 6,203 | Issue with fp16_opt_level default | {
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"I have this issue too, reported to pl https://github.com/PyTorchLightning/pytorch-lightning/issues/2673 \r\n",
"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 | ## 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-4.15.0-1091-oem-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTor... | {
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"Hi - it looks like the memory blowup occurs during beam search (presumably during eval).\r\n\r\nIn `_generative_step` in `fine_tune.py`, feel free to play around with the `num_beams` parameter in the `self.model.generate` call. I can confirm that explicitly setting `num_beams=1` works on a V100 16GB. I believe ... | 1,596 | 1,602 | 1,602 | NONE | null | I'm trying to fine tune my model like this:
```
import os
os.environ['PYTHONPATH'] += ":/content/transformers/examples"
%cd "/content/transformers/examples"
!python /content/transformers/examples/seq2seq/finetune.py \
--learning_rate=3e-5 \
--fp16 \
--gpus 1 \
--do_train \
--do_predict... | {
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https://api.github.com/repos/huggingface/transformers/issues/6201 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6201/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6201/comments | https://api.github.com/repos/huggingface/transformers/issues/6201/events | https://github.com/huggingface/transformers/pull/6201 | 671,601,961 | MDExOlB1bGxSZXF1ZXN0NDYxNzk1OTkx | 6,201 | Update model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6201?src=pr&el=h1) Report\n> Merging [#6201](https://codecov.io/gh/huggingface/transformers/pull/6201?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/82a0e2b67ec94d28b20e24b3393644002bbd0d4b&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6200/comments | https://api.github.com/repos/huggingface/transformers/issues/6200/events | https://github.com/huggingface/transformers/pull/6200 | 671,601,921 | MDExOlB1bGxSZXF1ZXN0NDYxNzk1OTYz | 6,200 | Update model card | {
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https://api.github.com/repos/huggingface/transformers/issues/6199 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6199/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6199/comments | https://api.github.com/repos/huggingface/transformers/issues/6199/events | https://github.com/huggingface/transformers/pull/6199 | 671,601,865 | MDExOlB1bGxSZXF1ZXN0NDYxNzk1OTE3 | 6,199 | Update model card | {
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https://api.github.com/repos/huggingface/transformers/issues/6198 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6198/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6198/comments | https://api.github.com/repos/huggingface/transformers/issues/6198/events | https://github.com/huggingface/transformers/pull/6198 | 671,601,836 | MDExOlB1bGxSZXF1ZXN0NDYxNzk1ODk3 | 6,198 | Update model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6198?src=pr&el=h1) Report\n> Merging [#6198](https://codecov.io/gh/huggingface/transformers/pull/6198?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/82a0e2b67ec94d28b20e24b3393644002bbd0d4b&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6196 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6196/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6196/comments | https://api.github.com/repos/huggingface/transformers/issues/6196/events | https://github.com/huggingface/transformers/pull/6196 | 671,560,832 | MDExOlB1bGxSZXF1ZXN0NDYxNzY2NjAw | 6,196 | cleanup torch unittests | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6196?src=pr&el=h1) Report\n> Merging [#6196](https://codecov.io/gh/huggingface/transformers/pull/6196?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/82a0e2b67ec94d28b20e24b3393644002bbd0d4b&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | a large group of tests has been modified according to the request in https://github.com/huggingface/transformers/issues/5973
If this is what's needed then just running this magic perl sequence should take care of most of them:
```
perl -pi -e 's|^\s+self.check_loss_output\(result\)\n||' tests/test_modeling_bert.... | {
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https://api.github.com/repos/huggingface/transformers/issues/6195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6195/comments | https://api.github.com/repos/huggingface/transformers/issues/6195/events | https://github.com/huggingface/transformers/pull/6195 | 671,555,720 | MDExOlB1bGxSZXF1ZXN0NDYxNzYxODEw | 6,195 | Encoder decoder config docs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6195?src=pr&el=h1) Report\n> Merging [#6195](https://codecov.io/gh/huggingface/transformers/pull/6195?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d8dbf3b75d58667e2ecaf42b4aa076e83d034d26&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | As discussed on #5826, this PR adds more details on how to load encoder/decoder config objects from pretrained folders and how to instantiate encoder_decoder pretrained models given their corresponding configuration objects (useful for loading pre-trained models and modifying some config members for fine-tuning).
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https://api.github.com/repos/huggingface/transformers/issues/6194 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6194/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6194/comments | https://api.github.com/repos/huggingface/transformers/issues/6194/events | https://github.com/huggingface/transformers/issues/6194 | 671,480,852 | MDU6SXNzdWU2NzE0ODA4NTI= | 6,194 | longformertokenizerFast gives error | {
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"@patrickvonplaten please see. if relevant ",
"Hi @manishiitg , can you post the command/code you used to run this example ? Won't be able to re-produce from the stack-trace.",
"Thanks for answering @patil-suraj . As @patil-suraj said, we need some code and also the environment info (it's empty above) to better... | 1,596 | 1,602 | 1,602 | 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:
- Platform:
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU in s... | {
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https://api.github.com/repos/huggingface/transformers/issues/6193 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6193/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6193/comments | https://api.github.com/repos/huggingface/transformers/issues/6193/events | https://github.com/huggingface/transformers/issues/6193 | 671,280,841 | MDU6SXNzdWU2NzEyODA4NDE= | 6,193 | Some weights not initialized in pre-trained RobertaForMaskedLM | {
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"Hello! These warnings are not important, as these weights are not necessary (the position IDs is a buffer that is initialized if not defined, and the lm head decoder bias already exists in the lm head decoder linear layer).\r\n\r\nOn the `master` branch we've updated the warnings to only list those that could have... | 1,596 | 1,613 | 1,596 | CONTRIBUTOR | null | The bug is similar to #2202.
I am trying to evaluate MLM perplexity (without training/finetuning) using Roberta with `run_language_modeling.py` (from the [official example](https://github.com/huggingface/transformers/tree/master/examples/language-modeling)). However, some weights seems to be reinitialized instead of... | {
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https://api.github.com/repos/huggingface/transformers/issues/6192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6192/comments | https://api.github.com/repos/huggingface/transformers/issues/6192/events | https://github.com/huggingface/transformers/issues/6192 | 671,112,086 | MDU6SXNzdWU2NzExMTIwODY= | 6,192 | GPT2 crashing at loss.backward() | {
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"Hi @vibhavagarwal5 , you can safely ignore this warning, that issue is resolved in this PR #5922 .\r\n\r\nDo you think you can post the stack-trace after the crash, and also the version and memory of the GPU used",
"**GPU DETAILS:** NVIDIA 2080 TI (12GB)\r\n\r\nNVIDIA-SMI 440.95.01\r\nDriver Version: 440.95.01\r... | 1,596 | 1,596 | 1,596 | 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: Ubuntu
- Python version: 3.6
- PyTorch version (GPU?): 1.5.0
- Using GPU in script?:... | {
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"please let me know how this progresses I am also interested in doing this",
"Hello,\r\nWould it be possible for your team to also work on GPT2LMHeadModel on this same issue?\r\n\r\nThank you,",
"Hey @h56cho - did you find a solution here? Would be great if you can post code :-) ",
"Likewise, would be very i... | 1,596 | 1,617 | 1,596 | NONE | null | Hello,
I am trying to convert the HuggingFace Transformer into a Bayesian neural network by using the `Pyro` module.
I provided my code below. Everything works well except I am stuck at the line `svi_loss = svi.step(input_ids = input_ids, attention_mask = attention_mask, labels = label)`. At that line an error is gen... | {
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"is there any workaround for this? i'm seeing the `Token indices sequence length is longer than the specified maximum sequence length for this model (... > 512). Running this sequence through the model will result in indexing errors` when using TextClassificationPipeline.\r\n\r\n(This is preventing me from upgradi... | 1,596 | 1,627 | 1,606 | NONE | null | # 🚀 Feature request
Currently, only the `padding` argument [is supported](https://github.com/huggingface/transformers/blob/a39dfe4fb122c11be98a563fb8ca43b322e01036/src/transformers/pipelines.py#L500) when calling a pipeline, and it's not possible to pass `truncation` argument. For example, running the following cod... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6189?src=pr&el=h1) Report\n> Merging [#6189](https://codecov.io/gh/huggingface/transformers/pull/6189?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8edfaaa81b9995cedea2f8805e4c18c2b6cb5bfc&el=desc) will **increase... | 1,596 | 1,602 | 1,602 | CONTRIBUTOR | null | I'm creating a distilled model based on a new transformers model, and needed these two lines from examples changed to make that process easier.
- Change filename of output binarized text vectors to replace '/' with '-'; for example tokenizer 'monsoon-nlp/hindi-bert' will output to a file and not create a new directo... | {
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"~It seems to work? What's happening on your end?~ Indeed, the generated text seems to be truncated.",
"@ksjae, I can't seem to make that model work in my environment, without relying on the inference API. \r\n\r\n```py\r\nfrom transformers import AutoModelWithLMHead, pipeline\r\nfrom transformers import GPT2Toke... | 1,596 | 1,602 | 1,602 | 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! -->
- None: hosted inference API
### Who can help
@LysandreJik
@julien-c
@TevenLeScao
## Information
Model I am using (B... | {
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"> @sshleifer Is there anything else needed to do in order to make ProphetNet work with your seq2seq example?\r\n> \r\n> Also @mfuntowicz for pipelines\r\n\r\nI tried examples/seq2seq/finetune.py and it works with python finetune.py --do_train and --do_predict.",
"I will try to complete document and unit test by ... | 1,596 | 1,600 | 1,600 | CONTRIBUTOR | null | # Add new model structure [ProphetNet](https://arxiv.org/abs/2001.04063).
## Description:
ProphetNet is a new pre-trained language model for sequence-to-sequence learning with a novel self-supervised objective called future n-gram prediction. ProphetNet is able to predict more future tokens with a n-stream decode... | {
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https://api.github.com/repos/huggingface/transformers/issues/6186 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6186/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6186/comments | https://api.github.com/repos/huggingface/transformers/issues/6186/events | https://github.com/huggingface/transformers/issues/6186 | 670,739,315 | MDU6SXNzdWU2NzA3MzkzMTU= | 6,186 | Remove inconsistency between BertTokenizer and BertTokenizerFast | {
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"Fixed with #6280"
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | # 🚀 Feature request
`BertTokenizerFast` has the option to specify `strip_accents=False`. The `BertTokenizer` does not have this option. This inconsistency should be removed by adding the `strip_accents` parameter to `BertTokenizer`.
## Motivation
Without adding this, the `BertTokenizer` can not be used for langua... | {
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- add doc for `strip_accents` and `wordpieces_prefix` | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6184?src=pr&el=h1) Report\n> Merging [#6184](https://codecov.io/gh/huggingface/transformers/pull/6184?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8edfaaa81b9995cedea2f8805e4c18c2b6cb5bfc&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | this is a follow up to https://github.com/huggingface/transformers/pull/6149
- there was no need to add newly added options to finetune.sh - reverted that change
- added a hint to users how to get all the options (--help)
@sshleifer | {
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"Investigating the issues 🤓 ",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6183?src=pr&el=h1) Report\n> Merging [#6183](https://codecov.io/gh/huggingface/transformers/pull/6183?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/b25cec13c57656941aac3b920eeb488... | 1,596 | 1,604 | 1,604 | NONE | null | ## Summary
This PR fixes issue #5571.
Pre-trained tokenizers might wrap tokens around custom types (e.g. `AddedToken` from **🤗/tokenizers**) which makes (de)serialization without additional meta information difficult. This PR uses `jsonpickle` library which particularly solves objects (de)serialization problem... | {
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FAILED tests/test_modeling_xlm.py::XLMModelTest::test_inputs_embeds - RuntimeError
Failure introduced somewhere in here:
```
* d951c14a Sylvain Gugger: Model output test (#6155) - (8 hours ago)
* 86caab1e Sylvain Gugger: Harm... | {
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https://api.github.com/repos/huggingface/transformers/issues/6181 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6181/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6181/comments | https://api.github.com/repos/huggingface/transformers/issues/6181/events | https://github.com/huggingface/transformers/issues/6181 | 670,239,856 | MDU6SXNzdWU2NzAyMzk4NTY= | 6,181 | Failing ONNX Export test | {
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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 | https://github.com/huggingface/transformers/runs/929962952?check_suite_focus=true
```
FAILED tests/test_onnx.py::OnnxExportTestCase::test_quantize_pytorch - TypeError
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/6180 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6180/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6180/comments | https://api.github.com/repos/huggingface/transformers/issues/6180/events | https://github.com/huggingface/transformers/pull/6180 | 670,237,815 | MDExOlB1bGxSZXF1ZXN0NDYwNTE5NDUw | 6,180 | Fixed typo in Longformer | {
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https://api.github.com/repos/huggingface/transformers/issues/6179 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6179/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6179/comments | https://api.github.com/repos/huggingface/transformers/issues/6179/events | https://github.com/huggingface/transformers/issues/6179 | 670,233,002 | MDU6SXNzdWU2NzAyMzMwMDI= | 6,179 | HANS Dataset: Incorrect `label_list` and `label`. | {
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"Yes indeed!\r\nSomehow, I was sure it was corrected on the master but I guess it was only on my private branch.\r\nLet me open a PR, thanks for pointing that out @HanGuo97!",
"Great, appreciate the help!"
] | 1,596 | 1,597 | 1,596 | 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:
- Platform: n/a
- Python version: n/a
- PyTorch version (GPU?): n/a
- Tensorflow version (GPU?): n/a
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6178 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6178/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6178/comments | https://api.github.com/repos/huggingface/transformers/issues/6178/events | https://github.com/huggingface/transformers/issues/6178 | 670,222,167 | MDU6SXNzdWU2NzAyMjIxNjc= | 6,178 | Why are the `device()` and `dtype()` functions in `modelling_utils.py` needed? | {
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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,
For BERT and RoBERTa HuggingFace pre-trained models, why are the `device()` and `dtype()` functions in `modeling_utils.py` needed?
See: https://github.com/huggingface/transformers/blob/8edfaaa81b9995cedea2f8805e4c18c2b6cb5bfc/src/transformers/modeling_utils.py#L158
https://github.com/huggingface/transf... | {
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https://api.github.com/repos/huggingface/transformers/issues/6177 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6177/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6177/comments | https://api.github.com/repos/huggingface/transformers/issues/6177/events | https://github.com/huggingface/transformers/issues/6177 | 670,219,925 | MDU6SXNzdWU2NzAyMTk5MjU= | 6,177 | RoBERTa for QuestionAnswering | {
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"Hey @mchari, could you please post your environment information and a code sample that we can run to reproduce your error?",
"@patrickvonplaten , thanks for your reply.\r\n\r\ni am using transformers 3.0.2 that i got from a pip install. \r\nHere is the code \r\n`\r\nfrom transformers import RobertaTokenizer, Rob... | 1,596 | 1,597 | 1,597 | NONE | null | I am trying to replicate the example in this link
https://github.com/huggingface/transformers/pull/1502/files, but I get the following error :
``
ValueError Traceback (most recent call last)
<ipython-input-23-823cc70a5d4f> in <module>
----> 1 token_type_ids = [0 if i <= input_ids.i... | {
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https://api.github.com/repos/huggingface/transformers/issues/6176 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6176/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6176/comments | https://api.github.com/repos/huggingface/transformers/issues/6176/events | https://github.com/huggingface/transformers/pull/6176 | 670,186,843 | MDExOlB1bGxSZXF1ZXN0NDYwNDcyNjU3 | 6,176 | Adds comet_ml to the list of auto-experiment loggers | {
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"@LysandreJik Will do! When I run `make style` it makes corrections to many other files, and also (for example) changes the import sort order on code that I didn't touch in the code that I am editing. Am I doing something wrong? Or should I commit those changes (in the files I am editing)?",
"Sounds weird, maybe ... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | This PR does three things:
* abstracts the auto-experiment-loggers' is_available() functions into an "integrations.py" file
* adds comet_ml to the list of auto-loggers available
* updates and reorganizes the docs slightly | {
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https://api.github.com/repos/huggingface/transformers/issues/6175 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6175/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6175/comments | https://api.github.com/repos/huggingface/transformers/issues/6175/events | https://github.com/huggingface/transformers/pull/6175 | 670,184,498 | MDExOlB1bGxSZXF1ZXN0NDYwNDcwNTE0 | 6,175 | Doc pipelines | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6175?src=pr&el=h1) Report\n> Merging [#6175](https://codecov.io/gh/huggingface/transformers/pull/6175?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d951c14ae46ee36b76981588ed6d03ab353ad766&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | COLLABORATOR | null | Continue the improvement of the main classes documentation with pipelines.
[Preview](https://67155-155220641-gh.circle-artifacts.com/0/docs/_build/html/main_classes/pipelines.html) of the new pipeline page.
[Preview](https://67155-155220641-gh.circle-artifacts.com/0/docs/_build/html/internal/pipelines_utils.html) o... | {
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https://api.github.com/repos/huggingface/transformers/issues/6174 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6174/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6174/comments | https://api.github.com/repos/huggingface/transformers/issues/6174/events | https://github.com/huggingface/transformers/issues/6174 | 669,976,857 | MDU6SXNzdWU2Njk5NzY4NTc= | 6,174 | t | {
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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/6173 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6173/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6173/comments | https://api.github.com/repos/huggingface/transformers/issues/6173/events | https://github.com/huggingface/transformers/issues/6173 | 669,742,696 | MDU6SXNzdWU2Njk3NDI2OTY= | 6,173 | My finetuned gpt2 model is taking wayy too long to generate samples, like 5-8 minutes | {
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"Hi @Krish-Nerkar , [this](https://discuss.huggingface.co/t/speeding-up-gpt2-generation/470) might help",
"@patil-suraj Thanks Alot! will check those methods out\r\n\r\n"
] | 1,596 | 1,597 | 1,597 | NONE | null | I fine tuned the gpt2 model using transformers, i trained it on a lyrics dataset, and after successful training, when i do model.generate(args), it takes like a hell lot of time to genrate results
What Should i do?
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https://api.github.com/repos/huggingface/transformers/issues/6172 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6172/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6172/comments | https://api.github.com/repos/huggingface/transformers/issues/6172/events | https://github.com/huggingface/transformers/issues/6172 | 669,662,241 | MDU6SXNzdWU2Njk2NjIyNDE= | 6,172 | 🐛 Not adding `token_type_ids` when the model is `electra` (pytorch_lightning example) | {
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"Hi @monologg , yes toke_type_ids should be there for electra,\r\n\r\neasy fix would be somethin like\r\n```python3\r\nif self.config.model_type not in [\"xlm\", \"roberta\", \"distilbert\", \"camembert\", \"longformer\"]:\r\n inputs[\"token_type_ids\"] = batch[2] \r\n```\r\n\r\nThis is how it's done in the squ... | 1,596 | 1,602 | 1,602 | CONTRIBUTOR | null | ### Who can help
@sshleifer (examples issue)
## Information
Model I am using (Bert, XLNet ...): `ELECTRA`
The problem arises when using:
* [X] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
The tasks I am working on is:
* [X] an official GLUE/SQU... | {
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"Hello! What do you want to do with this PR?",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6171?src=pr&el=h1) Report\n> Merging [#6171](https://codecov.io/gh/huggingface/transformers/pull/6171?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c0b93a1c7a961e30... | 1,596 | 1,602 | 1,602 | NONE | null | {
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"`j`",
"Y",
"Grgj6r",
"Yes mi bro",
"Yes mi bro ",
"K",
"J"
] | 1,596 | 1,596 | 1,596 | NONE | spam | # 🖥 Benchmarking `transformers`
## Benchmark
Which part of `transformers` did you benchmark?
## Set-up
What did you run your benchmarks on? Please include details, such as: CPU, GPU? If using multiple GPUs, which parallelization did you use?
## Results
Put your results here!
| {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6169?src=pr&el=h1) Report\n> Merging [#6169](https://codecov.io/gh/huggingface/transformers/pull/6169?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c0b93a1c7a961e30b30d02d641c9d22120ef5d73&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | README for MiniLM-L12-H384-uncased for QA | {
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"@sgugger @LysandreJik thanks for the advice, will update soon!",
"Great, let us know when this PR is ready to review again!",
"@LysandreJik @sgugger Ready for reviewing again! Thanks for all the suggestions. \r\nI noticed that the check_code_quality test is failed however I can't see the actual failing part, p... | 1,596 | 1,603 | 1,599 | CONTRIBUTOR | null | partially fix #5984
Add supports for Albert model pretraining:
- Add `AlbertTextDataset` class
- Create `segment_ids` and `sentence_order_labels` attributes for sentence order prediction task
- Add `DataCollatorForAlbertPretrain` class
- inherited from `DataCollatorForLanguageModeling` class
- create `at... | {
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https://api.github.com/repos/huggingface/transformers/issues/6167 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6167/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6167/comments | https://api.github.com/repos/huggingface/transformers/issues/6167/events | https://github.com/huggingface/transformers/pull/6167 | 669,303,516 | MDExOlB1bGxSZXF1ZXN0NDU5NjkxOTYx | 6,167 | fix the slow tests doc | {
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"Nope. They appear again, 2 paras later.\r\n\r\nMoreover, the 2 deleted instructions are themselves a problem as they are identical ;)"
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | remove unnecessary duplication wrt `RUN_SLOW=yes`
@sgugger | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6166?src=pr&el=h1) Report\n> Merging [#6166](https://codecov.io/gh/huggingface/transformers/pull/6166?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c0b93a1c7a961e30b30d02d641c9d22120ef5d73&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | **Base Command:**
```bash
BS=8
GAS=4
MAX_LEN=128
python finetune.py \
--learning_rate=3e-5 \
--do_train \
--val_check_interval=0.25 \
--adam_eps 1e-06 \
--num_train_epochs 6 --src_lang en_XX --tgt_lang ro_RO \
--data_dir $ENRO_DIR \
--max_source_length $MAX_LEN --max_target_lengt... | {
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"Hello !\r\n\r\nWhich tests do not pass precisely? They are all green for me.\r\n\r\nFor the log that is not displayed this is because no logger is set in `benchmark_test.py`. I will review that for later, thanks!",
"> Which tests do not pass precisely? They are all green for me.\r\n\r\nMost (all?) tests. Try:\r\... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | All of the test suite is failing w/o this update - need to re-run `pip install -e .[dev]`
note that the failing tests don't show `"You need to run the TensorFlow trainer with at least the version 2.2.0, your version is {` anywhere so perhaps need some extra tweaks for the test fixtures, but then since non-tf tests f... | {
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"Seems to be an edge case from cleaning up tokenization on decoding :\r\n\r\nhttps://github.com/huggingface/transformers/blob/c0b93a1c7a961e30b30d02d641c9d22120ef5d73/src/transformers/tokenization_utils_base.py#L2688\r\n\r\n---\r\n\r\nFor this specific case, a work-around can be :\r\n\r\n`ss = tokenizer.decode(inpu... | 1,596 | 1,602 | 1,602 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.15.0-74-generic-x86_64-with-glibc2.27
- Python version: 3.8.0
- PyTorch version (GPU?): 1.5.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No.
- Using distributed or parallel set-up in script?: No.
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https://api.github.com/repos/huggingface/transformers/issues/6161 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6161/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6161/comments | https://api.github.com/repos/huggingface/transformers/issues/6161/events | https://github.com/huggingface/transformers/issues/6161 | 669,152,961 | MDU6SXNzdWU2NjkxNTI5NjE= | 6,161 | Padding Strategy Code missing an else case (maybe?) | {
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"This issue also applies to the `truncation` parameter.\r\n\r\nI assumed the enums are supposed to be used directly because the release notes (https://github.com/huggingface/transformers/releases/tag/v3.0.0) explicitly mention the `TensorType` enum, which is defined right below the `PaddingStrategy` and `Truncation... | 1,596 | 1,604 | 1,604 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: macOS 10.15.5
- Python version: 3.7
- PyTorch version (GPU?): 1.5 GPU-Yes
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help
tokenizers: @mfuntowicz
Summarization: @sshleifer
T5: @patrickvonpla... | {
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"The model assign correctness probability to every answer it produce. if this probability crossing the threshold it means that the model predict their is no answer to the question. The threshold is picked as the threshold that achieve the best f1/exact score on the dev set. The best f1/exact is the result achieved ... | 1,596 | 1,614 | 1,614 | NONE | null | I am having difficulty understanding what exactly the best_f1 and best_exact scores that are outputted in the run_squad.py evaluation mean. (The scores are computed in the squad_metrics script, found [here](https://github.com/huggingface/transformers/blob/master/src/transformers/data/metrics/squad_metrics.py)).
What ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6159 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6159/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6159/comments | https://api.github.com/repos/huggingface/transformers/issues/6159/events | https://github.com/huggingface/transformers/issues/6159 | 669,067,906 | MDU6SXNzdWU2NjkwNjc5MDY= | 6,159 | OSError: Unable to load weights from pytorch checkpoint file. | {
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"Hi! Do you mind pasting your environment information here so that we may take a look?",
"Try to delete cache directory files.",
"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",
"He... | 1,596 | 1,625 | 1,602 | NONE | null | Hello,
When I am trying to load the `Roberta-large` pre-trained model, I get the following error:
```python
model_RobertaForMultipleChoice = RobertaForMultipleChoice.from_pretrained('roberta-large', output_hidden_states = True)
OUT:
OSError: Unable to load weights from pytorch checkpoint file. If you tried t... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6158?src=pr&el=h1) Report\n> Merging [#6158](https://codecov.io/gh/huggingface/transformers/pull/6158?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ec0267475c16a1913e64cb4f81fd54d153e3d815&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | For every incoming commit, this PR will create a Docker image containing the commit's latest code and will run that Docker image on Google Kubernetes Engine on a TPU. | {
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https://api.github.com/repos/huggingface/transformers/issues/6157 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6157/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6157/comments | https://api.github.com/repos/huggingface/transformers/issues/6157/events | https://github.com/huggingface/transformers/pull/6157 | 669,042,387 | MDExOlB1bGxSZXF1ZXN0NDU5NDYyNjYx | 6,157 | Harmonize both Trainers API | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6157?src=pr&el=h1) Report\n> Merging [#6157](https://codecov.io/gh/huggingface/transformers/pull/6157?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ec0267475c16a1913e64cb4f81fd54d153e3d815&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | COLLABORATOR | null | As discussed after the latest rework of TFTrainer.
Also removed references to "master" processes in our API to go to main with deprecation warnings. | {
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https://api.github.com/repos/huggingface/transformers/issues/6156 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6156/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6156/comments | https://api.github.com/repos/huggingface/transformers/issues/6156/events | https://github.com/huggingface/transformers/issues/6156 | 668,946,837 | MDU6SXNzdWU2Njg5NDY4Mzc= | 6,156 | should mBART-large-en-ro have decoder_start_token_id by default? | {
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"Hi @sshleifer, I'd like to contribute and help out here if still needed. My thinking is to remove ```decoder_start_token_id``` from run_eval.py and generation_utils.py and change the following code:\r\n\r\nhttps://github.com/huggingface/transformers/blob/6028ed92bd9e5471e6f8a1d23cfd95a3a63018fb/src/transformers/g... | 1,596 | 1,601 | 1,598 | CONTRIBUTOR | null | Hypothesis: since the argument `prepend_bos` is set to "False" in fairseq/examples/README.md, mbart-large-en-ro does not need `decoder_start_token_id`.
TODO:
- create branch that deletes `decoder_start_token_id`. Setting it to None in the config might not be enough.
- verify that decoder_start_token_id is in fact ... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6155?src=pr&el=h1) Report\n> Merging [#6155](https://codecov.io/gh/huggingface/transformers/pull/6155?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/91cb95461e438dc57555c4f57f8ce95a56328036&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | COLLABORATOR | null | Step 2 of the strategy for the new model outputs as outlined on the [forum](https://discuss.huggingface.co/t/new-model-output-types/195/8).
Use the `return_dict` argument introduced in #6138 in all tests and remove all unpacking from the tests. | {
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"Hi! Did you have a look at [this older issue](https://github.com/huggingface/transformers/issues/1950)?",
"> Hi! Did you have a look at [this older issue](https://github.com/huggingface/transformers/issues/1950)?\r\n\r\nYes I did, but my concern is that if I want to fine-tune it on my raw text data (language mod... | 1,596 | 1,596 | 1,596 | NONE | null | Hi everybody, I want to use Bert model to get the embedding for a sentence after I fine-tuned it with raw texts. I was wondering if is that possible or not and anybody can help me with that? | {
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https://api.github.com/repos/huggingface/transformers/issues/6152 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6152/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6152/comments | https://api.github.com/repos/huggingface/transformers/issues/6152/events | https://github.com/huggingface/transformers/issues/6152 | 668,546,527 | MDU6SXNzdWU2Njg1NDY1Mjc= | 6,152 | Using BertWordPiece Tokenizer | {
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"Hi! Are you trying to load a BERT vocabulary in a RoBERTa tokenizer? This unfortunately won't work, as the mechanisms between the WordPiece and Byte level BPE are inherently different.",
"Hi, I could not find documentation for it so I thought id try. Another thing I wanted to ask is that I am working on a datase... | 1,596 | 1,602 | 1,602 | 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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With this PR, Trainer will automatically use Pytorch's n... | {
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https://api.github.com/repos/huggingface/transformers/issues/6150 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6150/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6150/comments | https://api.github.com/repos/huggingface/transformers/issues/6150/events | https://github.com/huggingface/transformers/issues/6150 | 668,370,397 | MDU6SXNzdWU2NjgzNzAzOTc= | 6,150 | 🐛 T5 Tokenizer ignores \n \t characters and more than one whitespace together | {
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"@TevenLeScao @sshleifer @patrickvonplaten This looks like a serious problem with the T5 Tokenizer. Is this behavior expected?",
"Closing this issue as sentencepiece for T5 removes more than one whitespace as a standard https://github.com/google-research/text-to-text-transfer-transformer/issues/390#issuecomment-6... | 1,596 | 1,599 | 1,599 | 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 (master)
- Platform: Linux-4.9.0-12-amd64-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
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https://api.github.com/repos/huggingface/transformers/issues/6149 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6149/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6149/comments | https://api.github.com/repos/huggingface/transformers/issues/6149/events | https://github.com/huggingface/transformers/pull/6149 | 668,323,175 | MDExOlB1bGxSZXF1ZXN0NDU4ODM2MjA2 | 6,149 | [s2s] add support for overriding config params | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6149?src=pr&el=h1) Report\n> Merging [#6149](https://codecov.io/gh/huggingface/transformers/pull/6149?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/54f9fbeff822ec0547fd23d0338654456925f6b7&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | add support for overriding model params:
```
python finetune.py --encoder_layerdrop 0.1 --decoder_layerdrop 0.1 --dropout 0.1 --attention_dropout 0.1
```
as requested at https://github.com/huggingface/transformers/issues/6018
`README.md` seems to be mostly the editor removing superfluous whitespace - not sure w... | {
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https://api.github.com/repos/huggingface/transformers/issues/6148 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6148/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6148/comments | https://api.github.com/repos/huggingface/transformers/issues/6148/events | https://github.com/huggingface/transformers/issues/6148 | 668,320,961 | MDU6SXNzdWU2NjgzMjA5NjE= | 6,148 | tokenize cache for examples/language-modeling | {
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"as it takes me about 7 minutes to tokenize a train set (size is 400w) every time I start training. ",
"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 | # 🚀 Feature request
I find transformer already has cache for tokenized result in examples/token-classification.
I think language-modeling which with a much larger dataset also need that
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https://api.github.com/repos/huggingface/transformers/issues/6147 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6147/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6147/comments | https://api.github.com/repos/huggingface/transformers/issues/6147/events | https://github.com/huggingface/transformers/issues/6147 | 668,315,884 | MDU6SXNzdWU2NjgzMTU4ODQ= | 6,147 | the documents for transformer don't work | {
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"The link works, but the documentation was not properly done at this version. You should check a more recent version.",
"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
<!-- 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/ .
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https://api.github.com/repos/huggingface/transformers/issues/6146 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6146/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6146/comments | https://api.github.com/repos/huggingface/transformers/issues/6146/events | https://github.com/huggingface/transformers/issues/6146 | 668,290,839 | MDU6SXNzdWU2NjgyOTA4Mzk= | 6,146 | 🌟 Mirostat decoding algorithm | {
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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 | 1,684 | 1,602 | CONTRIBUTOR | null | # 🌟 Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
## Description
Paper : https://arxiv.org/pdf/2007.14966.pdf
Abstract :
> [...] We use this analysis to design a feedbackbased adaptive top-k text decoding algorithm called mirostat that generates text (of any length) with a redetermined ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6145 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6145/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6145/comments | https://api.github.com/repos/huggingface/transformers/issues/6145/events | https://github.com/huggingface/transformers/issues/6145 | 668,266,622 | MDU6SXNzdWU2NjgyNjY2MjI= | 6,145 | TOKENIZER: truncation not working for batch | {
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"I have updated to version 3.0.2 now and the tokenizer is working properly. I am closing this issue."
] | 1,596 | 1,596 | 1,596 | NONE | null | ## Environment info
- `transformers` version: 2.11.0
- Platform: Linux-4.15.0-106-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.4
- PyTorch version (GPU?): 1.5.1 (False)
- Tensorflow version (GPU?): 2.2.0 (False)
- Using GPU in script?: NO
- Using distributed or parallel set-up in script?: NO
... | {
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"Also if I look back at my code,\r\n\r\n```\r\n!pip install transformers==2.11.0\r\n```\r\n\r\n\r\n\r\n\r\nStill works for me with a larger context (same code as above). Any idea which is the default model ... | 1,596 | 1,599 | 1,598 | NONE | null | Transformers version: 3.0.2
The question-answering models don't seem to work anymore with long text, any reason why this is happening? I have tried with the default model in `pipeline` as well as with specific models.
e.g
__Sample Code:__
```
from transformers import pipeline
nlp_qa = pipeline('question... | {
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https://api.github.com/repos/huggingface/transformers/issues/6143 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6143/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6143/comments | https://api.github.com/repos/huggingface/transformers/issues/6143/events | https://github.com/huggingface/transformers/pull/6143 | 668,133,926 | MDExOlB1bGxSZXF1ZXN0NDU4Njc4NjY2 | 6,143 | Tf trainer cleanup | {
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Will harmonize the public customization hooks and document everything properly once this is merged. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6142?src=pr&el=h1) Report\n> Merging [#6142](https://codecov.io/gh/huggingface/transformers/pull/6142?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/54f9fbeff822ec0547fd23d0338654456925f6b7&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | MEMBER | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6141 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6141/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6141/comments | https://api.github.com/repos/huggingface/transformers/issues/6141/events | https://github.com/huggingface/transformers/issues/6141 | 668,058,851 | MDU6SXNzdWU2NjgwNTg4NTE= | 6,141 | Bug in language_modeling.py calling tokenizer.num_special_tokens_to_add | {
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"I was using a wrong approch, it works if I train the tokenizer, save de params, and load into a FastTokenizer impl"
] | 1,596 | 1,596 | 1,596 | 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-4.4.0-1081-aws-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/6140 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6140/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6140/comments | https://api.github.com/repos/huggingface/transformers/issues/6140/events | https://github.com/huggingface/transformers/issues/6140 | 668,031,823 | MDU6SXNzdWU2NjgwMzE4MjM= | 6,140 | Copyright date and owner not filled out in LICENSE file | {
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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",
"Thanks @Meadosc for raising this, we're not sure if this is a requirement of the license in order to add the copyright date and owner.\... | 1,596 | 1,607 | 1,601 | NONE | null | In transformers/LICENSE the copyright date and owner is not filled out.
https://github.com/huggingface/transformers/blob/master/LICENSE#L179-L190 | {
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https://api.github.com/repos/huggingface/transformers/issues/6139 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6139/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6139/comments | https://api.github.com/repos/huggingface/transformers/issues/6139/events | https://github.com/huggingface/transformers/issues/6139 | 668,000,980 | MDU6SXNzdWU2NjgwMDA5ODA= | 6,139 | Applying hugging face transformer in sequence labeling problem | {
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"you just use the ner code for POS tagging problem, the only difference is the set of target classes"
] | 1,596 | 1,596 | 1,596 | NONE | null | Hello.. Thanks for your great framework. Btw, what I'd like to know is that can I apply these hugging face transformer models in **sequence labeling** problems like **part of speech tagging** and **word segmentation**(because I see only **ner** model in example folder). If I can, **how** can I do that?? Can I get some ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6138 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6138/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6138/comments | https://api.github.com/repos/huggingface/transformers/issues/6138/events | https://github.com/huggingface/transformers/pull/6138 | 667,998,750 | MDExOlB1bGxSZXF1ZXN0NDU4NTY3NDUw | 6,138 | Switch from return_tuple to return_dict | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6138?src=pr&el=h1) Report\n> Merging [#6138](https://codecov.io/gh/huggingface/transformers/pull/6138?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8a8ae27617e3c4dafb34bcbbaadf4ceee28583bd&el=desc) will **increase... | 1,596 | 1,600 | 1,596 | COLLABORATOR | null | This is the first step in the change of model outputs as described on [the forum](https://discuss.huggingface.co/t/new-model-output-types/195/8).
This PR removes the argument `return_tuple` and introduces `return_dict` (that works the other way round) and all models now return tuple by default (100% full backward co... | {
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https://api.github.com/repos/huggingface/transformers/issues/6137 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6137/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6137/comments | https://api.github.com/repos/huggingface/transformers/issues/6137/events | https://github.com/huggingface/transformers/issues/6137 | 667,984,796 | MDU6SXNzdWU2Njc5ODQ3OTY= | 6,137 | StopIteration error when using HuggingFace Transformer models | {
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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 | 1,601 | 1,601 | NONE | null | Hello,
I am trying to use the RobertaForMultipleChoice model, and when I try to compute the mc_loss, the following StopIteration error is generated:
```python
>>> mc_loss = model(input_ids = input_ids, attention_mask = attention_mask, labels = mc_labels)[0]
Traceback (most recent call last):
File "STAT946_... | {
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https://api.github.com/repos/huggingface/transformers/issues/6136 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6136/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6136/comments | https://api.github.com/repos/huggingface/transformers/issues/6136/events | https://github.com/huggingface/transformers/issues/6136 | 667,974,524 | MDU6SXNzdWU2Njc5NzQ1MjQ= | 6,136 | frequent checkpoints have worse performance | {
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"hi, can you post the link on stackoverflow\r\n\r\nBtw, I also face this issue when working with an RTE dataset and have raised an issue here..[https://github.com/huggingface/transformers/issues/5863](url). My dev values after each epoch don't match up when the total number of epoch changes. Now its making me wond... | 1,596 | 1,602 | 1,602 | 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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"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 | 1,601 | 1,601 | NONE | null | Say if I have two transformers models operating on two different domains, what is a good way to combine the features? | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6134?src=pr&el=h1) Report\n> Merging [#6134](https://codecov.io/gh/huggingface/transformers/pull/6134?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/641b873c1341f553b40fd82c990b80884b585f0b&el=desc) will **decrease... | 1,596 | 1,600 | 1,596 | CONTRIBUTOR | null | This PR fixes an issue with the naming of some layers in the TensorFlow version of CTRL. | {
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https://api.github.com/repos/huggingface/transformers/issues/6133 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6133/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6133/comments | https://api.github.com/repos/huggingface/transformers/issues/6133/events | https://github.com/huggingface/transformers/pull/6133 | 667,932,585 | MDExOlB1bGxSZXF1ZXN0NDU4NTEyNjA4 | 6,133 | bart-large-mnli-yahoo-answers model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6133?src=pr&el=h1) Report\n> Merging [#6133](https://codecov.io/gh/huggingface/transformers/pull/6133?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/6c002853a68906a5b1c2dd2ebb416770f1fc322b&el=desc) will **increase... | 1,596 | 1,598 | 1,596 | CONTRIBUTOR | null | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread."
] | 1,596 | 1,614 | 1,614 | CONTRIBUTOR | null | Motivation:
The embeddings table for MBART is huge, but only ~40K of the entries are used/finetuned for most wmt tasks. See https://github.com/pytorch/fairseq/issues/2120
- needs vocab.json (fairseq Dictionary)
- needs to call `encode_as_pieces` with restricted vocabulary.
I will take this. | {
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https://api.github.com/repos/huggingface/transformers/issues/6131 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6131/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6131/comments | https://api.github.com/repos/huggingface/transformers/issues/6131/events | https://github.com/huggingface/transformers/pull/6131 | 667,874,074 | MDExOlB1bGxSZXF1ZXN0NDU4NDYzODYw | 6,131 | Enable ONNX/ONNXRuntime optimizations through converter script | {
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"cc @tianleiwu @yufenglee 💪 ",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6131?src=pr&el=h1) Report\n> Merging [#6131](https://codecov.io/gh/huggingface/transformers/pull/6131?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/6c002853a68906a5b1c2dd2ebb41677... | 1,596 | 1,596 | 1,596 | MEMBER | null | Introduce `--optimize` CLI argument and `optimize()` method to allow ONNXRuntime to operates all the possible optimizations on the raw ONNX IR.
Added documentation for this parameter in the ONNX/ONNXRuntime section on the doc. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6130?src=pr&el=h1) Report\n> Merging [#6130](https://codecov.io/gh/huggingface/transformers/pull/6130?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/6c002853a68906a5b1c2dd2ebb416770f1fc322b&el=desc) will **increase... | 1,596 | 1,596 | 1,596 | COLLABORATOR | null | It's cleaner this way and avoid redundancy. | {
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"> I'd like to add pre-trained [BERTweet](https://github.com/VinAIResearch/BERTweet/) and [PhoBERT](https://github.com/VinAIResearch/PhoBERT/) models to the `transformers` library.\r\n> \r\n> Users now can use these models directly from `transformers`. E.g:\r\n> \r\n> ```\r\n> bertweettokenizer = BertweetTokenizer.... | 1,596 | 1,605 | 1,600 | CONTRIBUTOR | null | I'd like to add pre-trained [BERTweet](https://github.com/VinAIResearch/BERTweet/) and [PhoBERT](https://github.com/VinAIResearch/PhoBERT/) models to the `transformers` library.
Users now can use these models directly from `transformers`. E.g:
bertweettokenizer = BertweetTokenizer.from_pretrained("vinai/ber... | {
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https://api.github.com/repos/huggingface/transformers/issues/6127 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6127/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6127/comments | https://api.github.com/repos/huggingface/transformers/issues/6127/events | https://github.com/huggingface/transformers/issues/6127 | 667,780,751 | MDU6SXNzdWU2Njc3ODA3NTE= | 6,127 | Initializing XLMRobertaTokenizer using pretrained tokenizer expects serialized vocab | {
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"Hi! The XLM-R tokenizer only accepts SentencePiece files, which cannot be created yet with the `tokenizers` library (soon!). You should use the official SentencePiece library for that."
] | 1,596 | 1,596 | 1,596 | NONE | null | Hi,
I am training an XLMRoberta model from scratch on Hindi. I am using a sentencepiece tokenizer trained exclusively on monolingual data following the steps mentioned in the [tokenizers repository](https://github.com/huggingface/tokenizers/tree/704cf3fdd2f607ead58a561b892b510b49c301db/bindings/python#using-the-provid... | {
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https://api.github.com/repos/huggingface/transformers/issues/6126 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6126/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6126/comments | https://api.github.com/repos/huggingface/transformers/issues/6126/events | https://github.com/huggingface/transformers/issues/6126 | 667,746,197 | MDU6SXNzdWU2Njc3NDYxOTc= | 6,126 | Add decoding inputs to generate | {
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Add decoding inputs to generate
## Motivation
When generating with encoder-decoder, one may want to insert context for the decoder.
I'm currently working on summarization given that I know some parts of the gt. But other ideas can come to mind.
## Your contribution
```
@torch.... | {
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https://api.github.com/repos/huggingface/transformers/issues/6125 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6125/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6125/comments | https://api.github.com/repos/huggingface/transformers/issues/6125/events | https://github.com/huggingface/transformers/issues/6125 | 667,744,938 | MDU6SXNzdWU2Njc3NDQ5Mzg= | 6,125 | problem about geting hidden_states using TFBertModel | {
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"Hello!\r\n\r\nI should be solved here https://github.com/huggingface/transformers/pull/5468. Nevertheless, you have to avoid using boolean tensors for `output_hidden_states` and `output_attentions` otherwise it won't work.",
"Hello!\r\n\r\ncould you tell me more details about how to avoid using boolean tensors?... | 1,596 | 1,598 | 1,596 | 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: Pycharm
- Python version: 3.6
- PyTorch version (GPU?): None
- Tensorflow version (G... | {
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"Hey @DenisStenyushkin,\r\n\r\nIt seems like you have the PyTorch model trained with our library, so you can simply do:\r\n\r\n```python\r\nfrom transformers import TFBertModel\r\nmodel = TFBertModel.from_pretrained(\"./rubert-base-cased-pt\", from_pt=True)\r\n\r\nmodel.save(\"./rubert-base-cased\") # this adds a T... | 1,596 | 1,603 | 1,603 | NONE | null | Hi all. I'm trying to convert a pre-trained BERT model from PyTorch into TF2 format and facing a problem.
Model being converted: DeepPavlov/rubert-base-cased. I downloaded all files into a local folder.
File convert_pytorch_checkpoint_to_tf2.py from master branch - I downloaded it separately.
The command I'm run... | {
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"Thanks!"
] | 1,596 | 1,596 | 1,596 | CONTRIBUTOR | null | {
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"@sshleifer , @sgugger I have made changes regarding the suggestions. Thanks !",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6122?src=pr&el=h1) Report\n> Merging [#6122](https://codecov.io/gh/huggingface/transformers/pull/6122?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/t... | 1,596 | 1,597 | 1,597 | MEMBER | null | This PR adds `prepare_seq2seq_batch` method to `T5Tokenizer` as per the proposal in #6080
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6121?src=pr&el=h1) Report\n> Merging [#6121](https://codecov.io/gh/huggingface/transformers/pull/6121?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/92f8ce2ed65f23f91795ce6eafb8cce1e226cd38&el=desc) will **decrease... | 1,596 | 1,596 | 1,596 | MEMBER | null | Add information on XLNet and its PLM objective in the language-modeling README. | {
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