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https://api.github.com/repos/huggingface/transformers/issues/7321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7321/comments | https://api.github.com/repos/huggingface/transformers/issues/7321/events | https://github.com/huggingface/transformers/issues/7321 | 706,477,063 | MDU6SXNzdWU3MDY0NzcwNjM= | 7,321 | Example Format of Data for token classification | {
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"Hi @Michael95-m ,\r\n\r\nthe dataset format for e.g. the normal NER task is relatively simple: one token - label pair per line and an empty line specified a new sentence.\r\n\r\nSo here's a good example from Spanish CoNLL dataset for NER:\r\n\r\n```bash\r\nMelbourne B-LOC\r\n( O\r\nAustralia B-LOC\r\n) O\r\n, O\r\... | 1,600 | 1,601 | 1,601 | NONE | null | Hi!! I'd like to train the token classification model but I don't know what is the right format of data for token classification training. Thank you. | {
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https://api.github.com/repos/huggingface/transformers/issues/7319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7319/comments | https://api.github.com/repos/huggingface/transformers/issues/7319/events | https://github.com/huggingface/transformers/pull/7319 | 706,439,962 | MDExOlB1bGxSZXF1ZXN0NDkwOTg1ODI1 | 7,319 | [Bug Fix] Fix run_squad.py evaluation code doesn't use probabilities | {
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Evaluation was done without the evaluated model probabilities but rather with default zero values. It corrupted the evaluation result... | {
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https://api.github.com/repos/huggingface/transformers/issues/7316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7316/comments | https://api.github.com/repos/huggingface/transformers/issues/7316/events | https://github.com/huggingface/transformers/pull/7316 | 706,371,594 | MDExOlB1bGxSZXF1ZXN0NDkwOTMwMTI0 | 7,316 | Support for Windows in check_copies | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7316?src=pr&el=h1) Report\n> Merging [#7316](https://codecov.io/gh/huggingface/transformers/pull/7316?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e46108817e13f5612cfe798570d38a44a9e65ba0?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | This is (hopefully) all what is necessary to make the script `check_copies.py` work on Windows.
@jplu if you can checkout this PR locally and confirm, that would be great!
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https://api.github.com/repos/huggingface/transformers/issues/7315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7315/comments | https://api.github.com/repos/huggingface/transformers/issues/7315/events | https://github.com/huggingface/transformers/issues/7315 | 706,280,596 | MDU6SXNzdWU3MDYyODA1OTY= | 7,315 | Memory leak | {
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"This looks to be a duplicate of #7169",
"But I think my problem is run out of the cpu memory, not the GPU memory",
"Ah my bad, I misread one letter ;-)\r\nTo fully understand your error, what's the dataset (particularly its size) you are training on?",
"The size of dataset (indonesian Wikipedia) is around 52... | 1,600 | 1,601 | 1,601 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-3.10.0-1127.el7.x86_64-x86_64-with-debian-buster-sid
- Python version: 3.7.0
- PyTorch version (GPU?): 1.5.1 (True)
- Tensorflow version (GPU?): 2.2.0 (False)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: dis... | {
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https://api.github.com/repos/huggingface/transformers/issues/7314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7314/comments | https://api.github.com/repos/huggingface/transformers/issues/7314/events | https://github.com/huggingface/transformers/issues/7314 | 706,269,746 | MDU6SXNzdWU3MDYyNjk3NDY= | 7,314 | Text generation with xlnet | {
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"```python \r\nfrom transformers import pipeline\r\nxlnet_generator = pipeline(\"text-generation\", model=\"xlnet-base-cased\", tokenizer=\"xlnet-base-cased\")\r\nprint(xlnet_generator(\"Today is a nice day and\"))\r\n```\r\n\r\nAlso this should help: https://huggingface.co/transformers/task_summary.html#text-gener... | 1,600 | 1,600 | 1,600 | NONE | null | how to use xlnet for text generation?
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https://api.github.com/repos/huggingface/transformers/issues/7313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7313/comments | https://api.github.com/repos/huggingface/transformers/issues/7313/events | https://github.com/huggingface/transformers/pull/7313 | 706,263,860 | MDExOlB1bGxSZXF1ZXN0NDkwODQ0Nzgy | 7,313 | Fixed results of SQuAD-FR evaluation | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7313?src=pr&el=h1) Report\n> Merging [#7313](https://codecov.io/gh/huggingface/transformers/pull/7313?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e2964b8a190a8852e54ef07e03cc491cd570d0d1?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | The score for the F1 metric was reported as the Exact Match and vice-versa.
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7310/comments | https://api.github.com/repos/huggingface/transformers/issues/7310/events | https://github.com/huggingface/transformers/pull/7310 | 706,082,241 | MDExOlB1bGxSZXF1ZXN0NDkwNjk0Mzg1 | 7,310 | [code quality] new make target that combines style and quality targets | {
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"I'm in favor. @sgugger @LysandreJik should this be a third target or should we just remove `make quality`?",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7310?src=pr&el=h1) Report\n> Merging [#7310](https://codecov.io/gh/huggingface/transformers/pull/7310?src=pr&el=desc) into [master](https:/... | 1,600 | 1,601 | 1,601 | CONTRIBUTOR | null | **edit**: this post has been edited to reflect the outcome of the discussion.
Any reason why we don't run `flake8` in `make style`? I find myself needing to run `make style` followed by `make quality` all the time, but I need the latter just for the last 2 checks. Since we have no control over the source code why bo... | {
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https://api.github.com/repos/huggingface/transformers/issues/7309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7309/comments | https://api.github.com/repos/huggingface/transformers/issues/7309/events | https://github.com/huggingface/transformers/pull/7309 | 706,079,680 | MDExOlB1bGxSZXF1ZXN0NDkwNjkyMjI2 | 7,309 | [code quality] fix confused flake8 | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7309?src=pr&el=h1) Report\n> Merging [#7309](https://codecov.io/gh/huggingface/transformers/pull/7309?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/656c27c3a3345d0d2cf31c16f780b573c3dea09a?el=desc) will **increase... | 1,600 | 1,603 | 1,600 | CONTRIBUTOR | null | We run `black --target-version py35 ...` but flake8 doesn't know that we want this specific `target-version`, so currently with py38 flake8 fails suggesting that black should have reformatted 63 files. Indeed if I run:
```
black --line-length 119 --target-version py38 examples templates tests src utils
```
it in... | {
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https://api.github.com/repos/huggingface/transformers/issues/7308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7308/comments | https://api.github.com/repos/huggingface/transformers/issues/7308/events | https://github.com/huggingface/transformers/issues/7308 | 706,069,708 | MDU6SXNzdWU3MDYwNjk3MDg= | 7,308 | [s2s] metrics.json is wrong on multigpu | {
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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"
] | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | overwritten by last rank to save it.
@nateraw is there a way to check if my module `is_rank_zero` or some such? | {
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https://api.github.com/repos/huggingface/transformers/issues/7307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7307/comments | https://api.github.com/repos/huggingface/transformers/issues/7307/events | https://github.com/huggingface/transformers/issues/7307 | 706,030,635 | MDU6SXNzdWU3MDYwMzA2MzU= | 7,307 | Cuda OOM training gpt2-xl with Trainer in multi-GPUs | {
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"I want to make an update. I thought it might be possible that gpt2-xl was impossible to finu-tune, so I tested it with gpt2-large, but I got the same result: \"CUDA out of memory\".",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activi... | 1,600 | 1,619 | 1,619 | NONE | null | # ❓ Questions & Help
I am currently trying to finetune the gpt2-xl. I have 2 tesla T4 GPUs. However, I get the CUDA OOM error... when I look at the use of the gpus I see that the first one is full, but the second one still has enough space. Here is my code:
```
from transformers import TextDataset,DataCollatorFo... | {
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https://api.github.com/repos/huggingface/transformers/issues/7306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7306/comments | https://api.github.com/repos/huggingface/transformers/issues/7306/events | https://github.com/huggingface/transformers/issues/7306 | 706,020,845 | MDU6SXNzdWU3MDYwMjA4NDU= | 7,306 | BertModel for 2 category classification - How to evaluate the performance | {
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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"
] | 1,600 | 1,606 | 1,606 | NONE | null | Hello there, I am building a fine-tuned BERT model for classification (with a linear layer in the end). The prediction should just be 1/0 (Yes, No).
When I am writing the evaluation part, I saw some people online did a F.log_softmax for the logits then use np.argmax to get the predicted label. However, I also saw p... | {
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https://api.github.com/repos/huggingface/transformers/issues/7305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7305/comments | https://api.github.com/repos/huggingface/transformers/issues/7305/events | https://github.com/huggingface/transformers/pull/7305 | 705,999,912 | MDExOlB1bGxSZXF1ZXN0NDkwNjI3NTQ0 | 7,305 | Fix #7304 | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7305?src=pr&el=h1) Report\n> Merging [#7305](https://codecov.io/gh/huggingface/transformers/pull/7305?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/656c27c3a3345d0d2cf31c16f780b573c3dea09a?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7304
Correct order is tensors, name
@LysandreJik you need to teach me how to check the CI on TPU so we catch those rookie mistakes before merging :-) | {
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https://api.github.com/repos/huggingface/transformers/issues/7304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7304/comments | https://api.github.com/repos/huggingface/transformers/issues/7304/events | https://github.com/huggingface/transformers/issues/7304 | 705,960,013 | MDU6SXNzdWU3MDU5NjAwMTM= | 7,304 | Wrong arg order for `nested_xla_mesh_reduce` in trainer.py | {
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"Indeed, I switched the args, sorry about that. Will make a PR to fix this tomorrow morning."
] | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | ## Environment info
Python 3.7 on Google Cloud TPUs
### Who can help
@sgugger
## Information
When training examples from [run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/text-classification/run_glue.py) using Cloud TPUs, we run into this error:
```
TypeError: _xla_rendezvous(... | {
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https://api.github.com/repos/huggingface/transformers/issues/7303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7303/comments | https://api.github.com/repos/huggingface/transformers/issues/7303/events | https://github.com/huggingface/transformers/issues/7303 | 705,957,742 | MDU6SXNzdWU3MDU5NTc3NDI= | 7,303 | BART metrics.json and validation checkpoint metrics seem to disagree | {
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"I can replicate in pl 0.8.5 and pl 0.9.0, great catch.\r\n\r\nSmaller command to replicate:\r\n\r\n```\r\nexport MAX_LEN=128\r\nexport m=export m=sshleifer/student_marian_en_ro_6_3\r\npython finetune.py \\\r\n --learning_rate=3e-4 \\\r\n --do_train \\\r\n --do_predict \\\r\n --fp16 \\\r\n --val_check_interval... | 1,600 | 1,606 | 1,606 | 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: 3.1.0
- Platform: Linux 4.14
- Python version:3.7.9
- PyTorch version (GPU?):1.6.0 (True)
- Using GPU ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7302/comments | https://api.github.com/repos/huggingface/transformers/issues/7302/events | https://github.com/huggingface/transformers/pull/7302 | 705,923,089 | MDExOlB1bGxSZXF1ZXN0NDkwNTY1Mjk4 | 7,302 | Add possibility to evaluate every epoch | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7302?src=pr&el=h1) Report\n> Merging [#7302](https://codecov.io/gh/huggingface/transformers/pull/7302?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/34a1b75f01667cc176304d7594245a7c308855df?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | This PR deprecates the argument `evaluate_during_training` and replaces it by `evaluation_strategy` (which supports more than just two values). The goal is to add support to easily evaluate the model every epoch (currently evaluation is done every n steps).
Evaluating every epoch is the most commonly used evaluation... | {
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https://api.github.com/repos/huggingface/transformers/issues/7301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7301/comments | https://api.github.com/repos/huggingface/transformers/issues/7301/events | https://github.com/huggingface/transformers/pull/7301 | 705,912,157 | MDExOlB1bGxSZXF1ZXN0NDkwNTU2MjUw | 7,301 | [s2s] save hostname with repo info | {
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Fixes #{issue number}
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7300?src=pr&el=h1) Report\n> Merging [#7300](https://codecov.io/gh/huggingface/transformers/pull/7300?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d6bc72c469c38a611fb99c3d61807f59b43fe2c9?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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"@thedarkzeno If you'd like, it'd be awesome if you could add default input texts in portuguese for https://github.com/huggingface/widgets-server/blob/master/DefaultWidget.ts (you can open a PR)\r\n\r\nso the inference widget on your model pages is correctly populated\r\n\r\n"
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Fixes #{issue number}
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7298?src=pr&el=h1) Report\n> Merging [#7298](https://codecov.io/gh/huggingface/transformers/pull/7298?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7a88ed6c2a740c45cafb2009a124ba056506d6a1?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | fix to match `distillation.py: self.alpha_encoder_loss`
@sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/7297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7297/comments | https://api.github.com/repos/huggingface/transformers/issues/7297/events | https://github.com/huggingface/transformers/pull/7297 | 705,795,864 | MDExOlB1bGxSZXF1ZXN0NDkwNDYwMTE0 | 7,297 | [s2s tests] fix test_run_eval_search | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7297?src=pr&el=h1) Report\n> Merging [#7297](https://codecov.io/gh/huggingface/transformers/pull/7297?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7a88ed6c2a740c45cafb2009a124ba056506d6a1?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Fix problems with the new test
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7295
@sshleifer
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"Any interest @stas00 ?",
"Yes, please"
] | 1,600 | 1,603 | 1,603 | CONTRIBUTOR | null | Add
```
keys_to_never_save = [
"model.encoder.embed_positions.weight",
"model.decoder.embed_positions.weight",
]
```
Probably also applies to XLM, T5 (I think) and a few others. | {
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"@stas00 \r\nDefinitely need this change\r\n\r\n\r\n\r\nBut then the parsing of the search arg seems to break.\r\nCould you take a look?",
"oh, yes, thank you - will fix shortly",
"Fixed: https://github.... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | ```bash
RUN_SLOW=1 pytest examples/seq2seq/test_seq2seq_examples.py -k search
```
```
FAILED examples/seq2seq/test_seq2seq_examples.py::test_run_eval_search[patrickvonplaten/t5-tiny-random] - ValueError: could not convert string to float: '--data_dir'
FAILED examples/seq2seq/test_seq2seq_examples.py::test_run_... | {
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"Hello !\r\n\r\nYou have an example here https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb",
"Perfect! Thank you, I did not see that. I think I'm all good now.",
"I want to have a fine tuning on my own dataset, but I don't know how to deal with the data format.... | 1,600 | 1,603 | 1,600 | NONE | null | I'm trying to run Bert fine tuning on SQuAD with Tensorflow's model.fit function. I was able to run the tutorial on sequence classification from here https://huggingface.co/transformers/training.html#tensorflow, but a similar set up does not seem to work for question answering. I am able to get it working with synthe... | {
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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"
] | 1,600 | 1,606 | 1,606 | NONE | null | # 🚀 Feature request
Support loading serialized tokenizer (using `Tokenizer.from_file`) in `AutoTokenizer`.
## Motivation
Some standard models use different tokenizers, e.g. `SentencePieceBPETokenizer`. So, there would be no need for implementing new models in `transformers`.
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7291?src=pr&el=h1) Report\n> Merging [#7291](https://codecov.io/gh/huggingface/transformers/pull/7291?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7cbf0f722d23440f3342aafc27697b50ead5996b?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR fixes #7277.
It was currently not possible to create a custom model that uses our TF main layers and to save it. A Keras Layer must have a `config` parameter whereas `keras_serializable` was creating a `transformers_config` parameter in the layer. | {
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https://api.github.com/repos/huggingface/transformers/issues/7290 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7290/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7290/comments | https://api.github.com/repos/huggingface/transformers/issues/7290/events | https://github.com/huggingface/transformers/pull/7290 | 705,683,127 | MDExOlB1bGxSZXF1ZXN0NDkwMzY3NzYy | 7,290 | [s2s] add create student script | {
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"What do you think @patil-suraj ? \r\n+ Added t5 support, renamed create_bart_student -> make_student\r\n+ made the code return which layers it copied so that distillation.py can use it.\r\n+ Deleted a bunch of broken stuff!\r\n+ added `save_randomly_initialized_model.py` script.\r\n",
"LGTM, much cleaner now. \r... | 1,600 | 1,601 | 1,601 | MEMBER | null | This PR adds `create_student.py` script to create the student models for distillbart/pegasus/marian and t5.
```bash
python make_student.py \
facebook/bart-large-cnn \
--e 12 \
--d 6 \
--save_path student-bart-cnn-12-6 \
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/7289 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7289/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7289/comments | https://api.github.com/repos/huggingface/transformers/issues/7289/events | https://github.com/huggingface/transformers/pull/7289 | 705,644,032 | MDExOlB1bGxSZXF1ZXN0NDkwMzM1NDcx | 7,289 | Fix #7284 | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7289?src=pr&el=h1) Report\n> Merging [#7289](https://codecov.io/gh/huggingface/transformers/pull/7289?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8d464374ba0a8322e87d7a326e7325fcaa2ff695?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7284
Don't add a keyword argument `"masked_lm_labels"` when`self.mlm` is False, to avoid an input error of the model.
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https://api.github.com/repos/huggingface/transformers/issues/7288 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7288/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7288/comments | https://api.github.com/repos/huggingface/transformers/issues/7288/events | https://github.com/huggingface/transformers/issues/7288 | 705,635,306 | MDU6SXNzdWU3MDU2MzUzMDY= | 7,288 | Error importing MBart from transformers | {
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"Note: I created a new venv and installed torch before transformers. That way I'm not getting this problem. When I had this problem I had installed transformers first, and I assume it tries to use tensorflow by default when you do that.",
"It assumes that you have already installed one of them, your fix is 👍 "
] | 1,600 | 1,600 | 1,600 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-5.4.0-47-generic-x86_64-with-glibc2.29
- Python version: 3.8.2
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version (GPU?): 2.3.0 (False)
- 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/7287 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7287/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7287/comments | https://api.github.com/repos/huggingface/transformers/issues/7287/events | https://github.com/huggingface/transformers/issues/7287 | 705,589,909 | MDU6SXNzdWU3MDU1ODk5MDk= | 7,287 | "index out of range in self" when calling BertForTokenClassification | {
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"The issue is that you're passing a `labels` argument as the third argument, whereas it's the 10th argument, as you can see in the [documentation](https://huggingface.co/transformers/model_doc/bert.html#bertfortokenclassification).\r\n\r\nYou should do the following:\r\n\r\n```py\r\noutput = model(inputs, attention... | 1,600 | 1,600 | 1,600 | 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: 3.1.0
- Platform: Linux-5.4.0-42-generic-x86_64-with-glibc2.29
- Python version: 3.8.2
- PyTorch versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/7286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7286/comments | https://api.github.com/repos/huggingface/transformers/issues/7286/events | https://github.com/huggingface/transformers/pull/7286 | 705,548,199 | MDExOlB1bGxSZXF1ZXN0NDkwMjU2MTI2 | 7,286 | Added RobBERT-v2 model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7286?src=pr&el=h1) Report\n> Merging [#7286](https://codecov.io/gh/huggingface/transformers/pull/7286?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/67c4b0c5178c8a532cf461ed2a1152fe821dc750?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Hi there!
We [just released](https://twitter.com/pieterdelobelle/status/1308016771744530433) version 2 of our [RobBERT](https://github.com/iPieter/RobBERT) model (= Dutch version of RoBERTa).
In this pull request, we included our model card for this version.
Thanks! | {
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https://api.github.com/repos/huggingface/transformers/issues/7285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7285/comments | https://api.github.com/repos/huggingface/transformers/issues/7285/events | https://github.com/huggingface/transformers/issues/7285 | 705,527,907 | MDU6SXNzdWU3MDU1Mjc5MDc= | 7,285 | scibert-nli out of dace | {
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"Hi @dbsousa01 ,\r\n\r\nThanks for the information. The models I published on the HuggingFace model repository were produced using transformers 2.7.0 and tested up to version 2.11.0. Can you try using transformers 2.11.0 for your specific use case, to see if the same warnings are still present? \r\n\r\nSadly, curre... | 1,600 | 1,601 | 1,601 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: macOS-10.15.5-x86_64-i386-64bit
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
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https://api.github.com/repos/huggingface/transformers/issues/7284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7284/comments | https://api.github.com/repos/huggingface/transformers/issues/7284/events | https://github.com/huggingface/transformers/issues/7284 | 705,493,905 | MDU6SXNzdWU3MDU0OTM5MDU= | 7,284 | Fine tune BERT based models using Trainer fails | {
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"Thanks for flagging, I have pushed a fix inside the data collator in the PR mentioned above."
] | 1,600 | 1,600 | 1,600 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-5.4.0-45-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.5.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes.
- Using distributed or parallel set-up in script?: No.
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7283?src=pr&el=h1) Report\n> Merging [#7283](https://codecov.io/gh/huggingface/transformers/pull/7283?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/67c4b0c5178c8a532cf461ed2a1152fe821dc750?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR includes the model card for the IXAmBERT model which has been recently uploaded to the huggingface repository.
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7282?src=pr&el=h1) Report\n> Merging [#7282](https://codecov.io/gh/huggingface/transformers/pull/7282?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/39062d05f05334961861c44e2a13bcda029ae61e?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Fixes #7167, #6193
When loading RobertaForMaskedLM/CamembertForMaskedLM checkpoints, a warning is displayed because "lm_head.decoder.bias" is not loaded. This warning is an artifact of the way the bias are stored in RobertaLMHead.
This PR adds `lm_head.decoder.bias` to the authorized missing keys list for RobertaFo... | {
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"To finish up the test, I don't yet know this functionality, it'd be something like (adapting the end from `_test_distiller_cli`):\r\n\r\n``` \r\n [...]\r\n p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=env)\r\n print(\"\\nWarning: there will be no output while s... | 1,600 | 1,603 | 1,603 | CONTRIBUTOR | null | This PR is trying to fix the hanging/misbehaving/self-replicating pytest for tests using PL with `gpu>1` (`ddp` backend).
OK, I couldn't figure out how to make `dp` or `ddp_spawn` to work, all kinds of obscure errors inside PL (It doesn't look like these are closely maintained as it's recommended not to use either),... | {
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https://api.github.com/repos/huggingface/transformers/issues/7280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7280/comments | https://api.github.com/repos/huggingface/transformers/issues/7280/events | https://github.com/huggingface/transformers/issues/7280 | 705,363,493 | MDU6SXNzdWU3MDUzNjM0OTM= | 7,280 | I want to use the Bert2GPT2 architecture,but my pretrained Bert and GPT2 have different vocabs,so what should I do for the vocabs? | {
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"This model card gives an in-detail explanation of how to train, use a bert2gpt2 model: https://huggingface.co/patrickvonplaten/bert2gpt2-cnn_dailymail-fp16#bert2gpt2-summarization-with-%F0%9F%A4%97-encoderdecoder-framework\r\n\r\nLet me know if this does not solve your errors.",
"This issue has been automaticall... | 1,600 | 1,606 | 1,606 | 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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https://api.github.com/repos/huggingface/transformers/issues/7279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7279/comments | https://api.github.com/repos/huggingface/transformers/issues/7279/events | https://github.com/huggingface/transformers/pull/7279 | 705,353,294 | MDExOlB1bGxSZXF1ZXN0NDkwMDk2NDE5 | 7,279 | [wip/dont-merge] pegasus beam search implementation | {
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Fixes #{issue number}
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7278?src=pr&el=h1) Report\n> Merging [#7278](https://codecov.io/gh/huggingface/transformers/pull/7278?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/1d90d0f386af2af52017d51c421e71a51ec94de0?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | MEMBER | null | No teacher bart distillation for MNLI
cc @sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/7277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7277/comments | https://api.github.com/repos/huggingface/transformers/issues/7277/events | https://github.com/huggingface/transformers/issues/7277 | 705,263,677 | MDU6SXNzdWU3MDUyNjM2Nzc= | 7,277 | Unable to serialize/save TF2.0 Bert model | {
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"Hello!\r\n\r\nI cannot reproduce your issue, can you try on the master version please?",
"> Hello!\r\n> \r\n> I cannot reproduce your issue, can you try on the master version please?\r\n\r\nI install transformers by `pip install git+https://github.com/huggingface/transformers`. I think it is master version by de... | 1,600 | 1,600 | 1,600 | 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! -->
https://colab.research.google.com/gist/Douboo/fccd6bcda2e098b10b1c7490f2d8bbf3/untitled3.ipynb#scrollTo=yW4t3uQxjhy1
- `transformers` vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/7276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7276/comments | https://api.github.com/repos/huggingface/transformers/issues/7276/events | https://github.com/huggingface/transformers/pull/7276 | 705,259,666 | MDExOlB1bGxSZXF1ZXN0NDkwMDE1OTQ3 | 7,276 | fix unnessasry cpu memory usage when training | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7276?src=pr&el=h1) Report\n> Merging [#7276](https://codecov.io/gh/huggingface/transformers/pull/7276?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7cbf0f722d23440f3342aafc27697b50ead5996b?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Use scalar when recording the aggregated training loss throughout the training procedure in `Trainer`.
The previous version uses `torch.Tensor` to store `tr_loss`. Here, tr_loss is accumulating history across your training loop and takes up lots of CPU memory during training. There is an official pytorch post on **N... | {
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https://api.github.com/repos/huggingface/transformers/issues/7275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7275/comments | https://api.github.com/repos/huggingface/transformers/issues/7275/events | https://github.com/huggingface/transformers/issues/7275 | 705,217,210 | MDU6SXNzdWU3MDUyMTcyMTA= | 7,275 | Question about model configuration | {
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"```python\r\nfrom transformers import GPT2Config\r\nconfig = GPT2Config()\r\nprint(\"Pad token id\", config.pad_token_id) # should give `None`\r\nprint(\"EOS token id\", config.eos_token_id) # should give `50256`\r\n```\r\n\r\n=> So it seems like your config is wrong. Hope this helps!",
"hi @patrickvonplaten \r... | 1,600 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
Hi,
Now I am trying gpt-2 model to generate sentences. I have a question about the model configuration.
I load model using [this line in the provided code](https://github.com/huggingface/transformers/blob/master/examples/text-generation/run_generation.py#L221). I found "eos_tokens_ids" an... | {
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"Does `python finetune.py` still work? If not we have a lot of untested bash scripts to update.",
"Everything works as before. You just don't have to use `python foo.py` anymore. You can still use that way or the shortcut of `./foo.py`.\r\n\r\nAlso there is no more need to tweak `PYTHONPATH`, but again, the exist... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR:
* converts scripts into independent executables - easier to run. Docs updates.
* tweaks `./finetune.py` and `./distillation.py` to be self-contained - no need to tweak `PYTHONPATH` via a shell script anymore
* fixes a few more left-overs from `try: import .foo; except: import foo`
Let me know if there an... | {
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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"
] | 1,600 | 1,606 | 1,606 | NONE | null | Hi,
Not sure if this is a bug or perhaps a misimplementation, but i'm comparing the results of using gpt2-large on the 'Write With Transformers' Text Generation example - https://transformer.huggingface.co/doc/gpt2-large, vs. my own implementation of the text generation tool. My use-case is to generate distractor o... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7272?src=pr&el=h1) Report\n> Merging [#7272](https://codecov.io/gh/huggingface/transformers/pull/7272?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2c8ecdf8a87019c438262d8c692e1bdffe05149f?el=desc) will **increase... | 1,600 | 1,601 | 1,601 | MEMBER | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6256.
Issue #6256 shows that distributed training is not possible when the model has layers that are not used at all.
Bert, Roberta and Longformer all have a "pooling_layer" added to their BaseModel (`BertModel`, `RobertaMod... | {
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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"
] | 1,600 | 1,606 | 1,606 | NONE | null | Is Maximum Entropy the same as Cross-entropy loss in the context of Distilbert (happy or sad sentiment label) classification? | {
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https://api.github.com/repos/huggingface/transformers/issues/7270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7270/comments | https://api.github.com/repos/huggingface/transformers/issues/7270/events | https://github.com/huggingface/transformers/issues/7270 | 705,134,185 | MDU6SXNzdWU3MDUxMzQxODU= | 7,270 | Multitask pre-training setting | {
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"Hey @antoniomastro1996,\r\n\r\nSure you can train T5 on a mixture of tasks. If you frame each tasks as a text-to-text task and mix it with *unsupervised denoising training* training examples, you would have the pre-training setting used in the original T5 paper.\r\n\r\nThis might also help: https://github.com/hugg... | 1,600 | 1,606 | 1,606 | NONE | null | # 🚀 Feature request
Hi everybody!
Is it possible to pre-train T5 model on a mixture of tasks?
Just to be more clear, let's assume I have created a dataset by following the example provided here:
https://huggingface.co/transformers/model_doc/t5.html
Specifically I'm referring to the _**Unsupervised denoising... | {
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https://api.github.com/repos/huggingface/transformers/issues/7269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7269/comments | https://api.github.com/repos/huggingface/transformers/issues/7269/events | https://github.com/huggingface/transformers/pull/7269 | 705,110,411 | MDExOlB1bGxSZXF1ZXN0NDg5OTA0MTE1 | 7,269 | Add model cards for new pre-trained BERTweet-COVID19 models | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7269?src=pr&el=h1) Report\n> Merging [#7269](https://codecov.io/gh/huggingface/transformers/pull/7269?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4f6e52574248636352a746cfe6cc0b13cf3eb7f9?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Two new pre-trained models "vinai/bertweet-covid19-base-cased" and "vinai/bertweet-covid19-base-uncased" are resulted by further pre-training the pre-trained model "vinai/bertweet-base" on a corpus of 23M COVID-19 English Tweets for 40 epochs.
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https://api.github.com/repos/huggingface/transformers/issues/7268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7268/comments | https://api.github.com/repos/huggingface/transformers/issues/7268/events | https://github.com/huggingface/transformers/pull/7268 | 705,089,121 | MDExOlB1bGxSZXF1ZXN0NDg5ODg4NzYx | 7,268 | Fix typo in model name | {
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Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7267/comments | https://api.github.com/repos/huggingface/transformers/issues/7267/events | https://github.com/huggingface/transformers/pull/7267 | 705,080,408 | MDExOlB1bGxSZXF1ZXN0NDg5ODgyMzE2 | 7,267 | [Bug fix] Fixed target_mapping preparation for XLNet (Pytorch) | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7267?src=pr&el=h1) Report\n> Merging [#7267](https://codecov.io/gh/huggingface/transformers/pull/7267?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4f6e52574248636352a746cfe6cc0b13cf3eb7f9?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | The pytorch version of XLNet does not create the `target_mapping` correctly when the batch size > 1.
For generation, the `target_mapping` should be made of zeros, except at the last position (token to be predicted). The current Pytorch implementation is currently only non-zero at the last position of the first batch p... | {
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https://api.github.com/repos/huggingface/transformers/issues/7266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7266/comments | https://api.github.com/repos/huggingface/transformers/issues/7266/events | https://github.com/huggingface/transformers/issues/7266 | 705,074,917 | MDU6SXNzdWU3MDUwNzQ5MTc= | 7,266 | LXMERT pre-training tasks | {
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"Tagging the LXMERT implementation author @eltoto1219 ",
"Hi, \"unc-nlp/lxmert-base-uncased\" was trained with all tasks specified in the paper (as aforementioned). We have benchmarked the pre-trained model to make sure it reaches the same performance on all QA tasks. If you do run into any troubles though, pleas... | 1,600 | 1,622 | 1,622 | NONE | null | # ❓ Questions & Help
Hello, congrats to all contributors for the awesome work with LXMERT! It is exciting to see multimodal transformers coming to hugginface/transformers. Of course, I immediately tried it out and played with the demo.
## LXMERT pre-trained model, trained on what exactly?
__Question:__
Does the... | {
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https://api.github.com/repos/huggingface/transformers/issues/7265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7265/comments | https://api.github.com/repos/huggingface/transformers/issues/7265/events | https://github.com/huggingface/transformers/issues/7265 | 705,066,362 | MDU6SXNzdWU3MDUwNjYzNjI= | 7,265 | Feature Request: Support Longformer 3D attention mask ? | {
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"Hey @Maybewuss,\r\ncould you post a code snippet example, where you show the use case of using a 3D attention mask? :-) \r\nWhat would you use it for?",
"> Hey @Maybewuss,\r\n> could you post a code snippet example, where you show the use case of using a 3D attention mask? :-)\r\n> What would you use it for?\r\n... | 1,600 | 1,682 | 1,607 | NONE | null | I try to use 3d attntion mask, but failed. | {
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https://api.github.com/repos/huggingface/transformers/issues/7264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7264/comments | https://api.github.com/repos/huggingface/transformers/issues/7264/events | https://github.com/huggingface/transformers/issues/7264 | 705,060,880 | MDU6SXNzdWU3MDUwNjA4ODA= | 7,264 | Changing learning rate for BertModelforTokenClassification | {
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"You can specify the learning rate in the optimizer, see the example using SGD below (ref: https://discuss.pytorch.org/t/different-learning-rate-for-a-specific-layer/33670)\r\n\r\n```\r\noptim.SGD([\r\n {'params': model.base.parameters()},\r\n {'params': model.classifier.parameters(), ... | 1,600 | 1,607 | 1,607 | NONE | null | Dear all,
I wanted to set a different learning rate for the linear layer and the Bert model for a BertModelforTokenClassification. How can I do so? This change should be done after loading a locally saved BertModelforTokenClassification model.
Thank You. | {
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https://api.github.com/repos/huggingface/transformers/issues/7263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7263/comments | https://api.github.com/repos/huggingface/transformers/issues/7263/events | https://github.com/huggingface/transformers/pull/7263 | 705,050,524 | MDExOlB1bGxSZXF1ZXN0NDg5ODYwOTMx | 7,263 | [s2s] adjust finetune + test to work with fsmt | {
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"Looks good. Will wait to merge.\r\nI bet there is a clever way to use `nn.Module.apply` to freeze all submodules that match `isinstance(module, nn.Embedding)` and delete all the conditionals.\r\n",
"Whichever way we do it it'd be good to abstract it into some helper function perhaps in `testing_utils.py`, that g... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | integrate FSMT into finetune + add the test
Please note I started tweaking `finetune.py` to make explicit conditionals based on model name/type, rather than try/except. Might be a good idea to make `self.config.model_type` more easily accessible by some quick attribute alias or something...
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"\r\n",
"Duplicate of https://github.com/huggingface/transformers/issues/6882 I think",
"> Duplicate of #6882 I think\r\n\r\nThanks. I'll look into it.",
"This issue has been automatically marked as s... | 1,600 | 1,606 | 1,606 | 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:'3.1.0'
- Platform:
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using G... | {
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https://api.github.com/repos/huggingface/transformers/issues/7261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7261/comments | https://api.github.com/repos/huggingface/transformers/issues/7261/events | https://github.com/huggingface/transformers/issues/7261 | 705,039,228 | MDU6SXNzdWU3MDUwMzkyMjg= | 7,261 | LXMERT visual feature extraction during training/fine-tuning phase | {
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"Yes, I also came up with this error. It would be great if the feature gets published. TIA.",
"Tagging LXMERT's implementation author @eltoto1219 ",
"Haha, yes we only added the FRCNN for evaluation to accommodate lxmert in the demo. I'll add the training code sometime this week, and then post back here once it... | 1,600 | 1,632 | 1,619 | NONE | null | # 🚀 Feature request
Thanks a lot for releasing LXMERT model. In the LXMERT model code samples, the visual feature extraction code (using generalized faster-rcnn: [modeling_frcnn](https://github.com/huggingface/transformers/blob/master/examples/lxmert/modeling_frcnn.py)) only in the inference step is given. However,... | {
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https://api.github.com/repos/huggingface/transformers/issues/7260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7260/comments | https://api.github.com/repos/huggingface/transformers/issues/7260/events | https://github.com/huggingface/transformers/issues/7260 | 705,038,084 | MDU6SXNzdWU3MDUwMzgwODQ= | 7,260 | A confusion about mrc model | {
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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"
] | 1,600 | 1,606 | 1,606 | NONE | null | # ❓ Questions & Help
- I found all of pretrain models using for mrc use softmax to pred start and end probability.
- If a paragraph has multi-answers, softmax not worked, otherwise, adding some postprocess to combine start and end probability to sort that we can choose n-best answer, but the numbert is fixed fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/7259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7259/comments | https://api.github.com/repos/huggingface/transformers/issues/7259/events | https://github.com/huggingface/transformers/pull/7259 | 705,012,932 | MDExOlB1bGxSZXF1ZXN0NDg5ODMzNTU3 | 7,259 | [broken] quantization util for CPU | {
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+ completely destroys bart
+ Marian off by one or two words, but not faster.
I wonder why!
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https://api.github.com/repos/huggingface/transformers/issues/7258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7258/comments | https://api.github.com/repos/huggingface/transformers/issues/7258/events | https://github.com/huggingface/transformers/issues/7258 | 705,011,140 | MDU6SXNzdWU3MDUwMTExNDA= | 7,258 | [save/load model] authorized keys, no save keys, etc. | {
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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",
"@LysandreJik, @sgugger - sorry didn't think to tag you when I initially posted this. Thoughts? Or just leave it as is?",
"For consist... | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | We already have:
```
# modeling_bart:
authorized_missing_keys = [r"final_logits_bias", r"encoder\.version", r"decoder\.version"]
```
Once https://github.com/huggingface/transformers/pull/7224 is merged we will have:
```
class SomeModel(PretrainedFSMTModel):
base_model_prefix = "model"
author... | {
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https://api.github.com/repos/huggingface/transformers/issues/7257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7257/comments | https://api.github.com/repos/huggingface/transformers/issues/7257/events | https://github.com/huggingface/transformers/pull/7257 | 705,004,334 | MDExOlB1bGxSZXF1ZXN0NDg5ODI3NTE3 | 7,257 | [fsmt] build/test scripts | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7257?src=pr&el=h1) Report\n> Merging [#7257](https://codecov.io/gh/huggingface/transformers/pull/7257?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4f6e52574248636352a746cfe6cc0b13cf3eb7f9?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | A few more essential building + testing scripts
@sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/7256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7256/comments | https://api.github.com/repos/huggingface/transformers/issues/7256/events | https://github.com/huggingface/transformers/issues/7256 | 704,999,489 | MDU6SXNzdWU3MDQ5OTk0ODk= | 7,256 | [fsmt] Expanding Positional Embeddings | {
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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",
"I was hoping that someone would have a need for that and then investigate, but since nobody asked this is still a may be.",
"This iss... | 1,600 | 1,616 | 1,616 | CONTRIBUTOR | null | splitting the comment from @sshleifer in https://github.com/huggingface/transformers/pull/7224#pullrequestreview-492155076 into this separate issue, as the PR hasn't introduced this potential issue. He writes:
> The expansion of embeddings may require a bit more care, but the comment below doesn't prevent merging th... | {
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https://api.github.com/repos/huggingface/transformers/issues/7255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7255/comments | https://api.github.com/repos/huggingface/transformers/issues/7255/events | https://github.com/huggingface/transformers/pull/7255 | 704,994,038 | MDExOlB1bGxSZXF1ZXN0NDg5ODIwMTEx | 7,255 | Add "Fine-tune ALBERT for sentence-pair classification" notebook to the community notebooks | {
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I'm adding to the community notebooks a tutorial on fine-tuning ALBERT and other BERT-based models for sentence-pair classification.
The main features of this tutorial are :
[1] End-to-end ML implementation (training, validation, prediction, evaluation)
[2] Easy adaptability to your own datasets
[3] Facil... | {
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https://api.github.com/repos/huggingface/transformers/issues/7254 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7254/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7254/comments | https://api.github.com/repos/huggingface/transformers/issues/7254/events | https://github.com/huggingface/transformers/pull/7254 | 704,984,570 | MDExOlB1bGxSZXF1ZXN0NDg5ODEzMjc3 | 7,254 | [s2s] distributed eval allows num_return_sequences > 1 | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7254?src=pr&el=h1) Report\n> Merging [#7254](https://codecov.io/gh/huggingface/transformers/pull/7254?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0ccb6f5c6da9e703766e8053581fddfc6dcc71a9?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | For more complicated pseudolabeling procedures. | {
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https://api.github.com/repos/huggingface/transformers/issues/7253 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7253/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7253/comments | https://api.github.com/repos/huggingface/transformers/issues/7253/events | https://github.com/huggingface/transformers/pull/7253 | 704,981,977 | MDExOlB1bGxSZXF1ZXN0NDg5ODExNTQ4 | 7,253 | [wip] layernorm eps config | {
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+ This is consistent with other models, and makes the code more extensible, at the cost of added complexity. | {
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https://api.github.com/repos/huggingface/transformers/issues/7252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7252/comments | https://api.github.com/repos/huggingface/transformers/issues/7252/events | https://github.com/huggingface/transformers/pull/7252 | 704,981,814 | MDExOlB1bGxSZXF1ZXN0NDg5ODExNDIy | 7,252 | [s2s] add supported architecures to MD | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7252?src=pr&el=h1) Report\n> Merging [#7252](https://codecov.io/gh/huggingface/transformers/pull/7252?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d6bc72c469c38a611fb99c3d61807f59b43fe2c9?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7251 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7251/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7251/comments | https://api.github.com/repos/huggingface/transformers/issues/7251/events | https://github.com/huggingface/transformers/pull/7251 | 704,974,737 | MDExOlB1bGxSZXF1ZXN0NDg5ODA2Mjky | 7,251 | [testing doc] @slow has to be last | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7251?src=pr&el=h1) Report\n> Merging [#7251](https://codecov.io/gh/huggingface/transformers/pull/7251?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/1d90d0f386af2af52017d51c421e71a51ec94de0?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Found an issue when `@slow` isn't the last decorator (gets ignored!), so documenting this significance.
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/7250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7250/comments | https://api.github.com/repos/huggingface/transformers/issues/7250/events | https://github.com/huggingface/transformers/issues/7250 | 704,956,079 | MDU6SXNzdWU3MDQ5NTYwNzk= | 7,250 | [testing] when to @slow and when not to? (huge models download) | {
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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",
"I guess I haven't tagged that one so nobody looked at it - @LysandreJik, would you please have a look?",
"Hi, sorry for getting back ... | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | Looking at the [CI logs](https://app.circleci.com/pipelines/github/huggingface/transformers/12476/workflows/b4ca9141-e992-4c00-95c6-a6ae7fff63b3/jobs/88844) we do have huge models downloaded (i.e. not @slow):
```
Downloading: 100% 1.16G/1.16G [00:52<00:00, 22.3MB/s]
Downloading: 100% 433M/433M [00:08<00:00, 48.4MB/s... | {
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https://api.github.com/repos/huggingface/transformers/issues/7249 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7249/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7249/comments | https://api.github.com/repos/huggingface/transformers/issues/7249/events | https://github.com/huggingface/transformers/issues/7249 | 704,910,239 | MDU6SXNzdWU3MDQ5MTAyMzk= | 7,249 | very poor performance of Longformer on SQuAD-like question-answering tasks | {
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"Hey @xixiaoyao ,\r\n\r\nWe have a couple of Longformer models that have been fine-tuned on Squad and that yield good results, see here: https://huggingface.co/models?search=longformer .\r\n\r\nAlso, it might be helpful to take a look at this notebook: https://github.com/patil-suraj/Notebooks/blob/master/longformer... | 1,600 | 1,606 | 1,606 | NONE | null | ## Environment info
any environment can easily re-produce the awful results
- `transformers` version: newest
- Platform: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.6
- Using GPU in script?: Y
- Using distributed or parallel set-up in script?: parallel
### Who can help
Longformer/Reformer:... | {
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https://api.github.com/repos/huggingface/transformers/issues/7248 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7248/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7248/comments | https://api.github.com/repos/huggingface/transformers/issues/7248/events | https://github.com/huggingface/transformers/pull/7248 | 704,882,307 | MDExOlB1bGxSZXF1ZXN0NDg5NzI2ODUy | 7,248 | [example/glue] fix compute_metrics_fn for bart like models | {
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"Merged too fast, commited @sgugger's suggestion here: aae4edb\r\n",
"Thanks @LysandreJik "
] | 1,600 | 1,600 | 1,600 | MEMBER | null | Fixes #7247
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/7247 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7247/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7247/comments | https://api.github.com/repos/huggingface/transformers/issues/7247/events | https://github.com/huggingface/transformers/issues/7247 | 704,882,242 | MDU6SXNzdWU3MDQ4ODIyNDI= | 7,247 | [example/glue] run_glue compute metrics fail for bart like models | {
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"I didn't expect that side effect, thanks for fixing it so quickly!"
] | 1,600 | 1,600 | 1,600 | MEMBER | null | This PR #7126 introduced multiple predictions for trainer. This breaks the `compute_metrics_fn` of `run_glue.py` for `bart` like models which return multiple predictions.
For `BartForSequenceClassfication` `p.predictions` is a `tuple`, so following code fails
https://github.com/huggingface/transformers/blob/1d90d... | {
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https://api.github.com/repos/huggingface/transformers/issues/7246 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7246/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7246/comments | https://api.github.com/repos/huggingface/transformers/issues/7246/events | https://github.com/huggingface/transformers/issues/7246 | 704,859,894 | MDU6SXNzdWU3MDQ4NTk4OTQ= | 7,246 | How to get cross attention weights of decoder when using 'encoderdecodermodel' | {
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"There isn't a method yet, you need to modify the source code.\r\nHere is how I did it for for bart https://github.com/huggingface/transformers/pull/6967",
"Hey @kimmo1019, yeah we should probably add all those cross-attention weights to the output as well. Might be a good idea to do this for all Seq2Seq models a... | 1,600 | 1,610 | 1,610 | 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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https://api.github.com/repos/huggingface/transformers/issues/7245 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7245/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7245/comments | https://api.github.com/repos/huggingface/transformers/issues/7245/events | https://github.com/huggingface/transformers/issues/7245 | 704,813,377 | MDU6SXNzdWU3MDQ4MTMzNzc= | 7,245 | [s2s] distributed_eval edge case | {
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] | 1,600 | 1,602 | 1,602 | CONTRIBUTOR | null | two separate invocations of the script can write to _mp at the same time.
Fix: Can use pid for tmp filename or even just a random number. | {
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https://api.github.com/repos/huggingface/transformers/issues/7244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7244/comments | https://api.github.com/repos/huggingface/transformers/issues/7244/events | https://github.com/huggingface/transformers/pull/7244 | 704,791,025 | MDExOlB1bGxSZXF1ZXN0NDg5NjU2MzYy | 7,244 | fsmt tiny model card + script | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7244?src=pr&el=h1) Report\n> Merging [#7244](https://codecov.io/gh/huggingface/transformers/pull/7244?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/83dba10b8fbaa3f16e82b5725dcceaf044dd6817?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | - a tiny model card (this is used in testing only, so only a very brief doc)
- a script that created that model | {
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https://api.github.com/repos/huggingface/transformers/issues/7243 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7243/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7243/comments | https://api.github.com/repos/huggingface/transformers/issues/7243/events | https://github.com/huggingface/transformers/pull/7243 | 704,663,054 | MDExOlB1bGxSZXF1ZXN0NDg5NTQ1MTA2 | 7,243 | Enable pegasus fp16 by clamping large activations | {
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"Hi,\r\n\r\nAny chance of implementing the same for the \"pegasus-cnn_dailymail\" (distilled) model?\r\n\r\nRegards,\r\nKarthik",
"@karthikgali this PR implements for all models that inherit from Bart. This includes pretty much every `sshleifer/` checkpoint and every `pegasus/` checkpoint.\r\n\r\nPegasus variants... | 1,600 | 1,601 | 1,601 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
+ If encoder layer is about to return inf, clamp to a float **near** the boundary of fp16 range
+ This improves rouge for distil-pegasus-xsum-12-12 in fp16 by 0.1 ROUGE 2
+ I cannot think of how this change could make things worse.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7242 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7242/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7242/comments | https://api.github.com/repos/huggingface/transformers/issues/7242/events | https://github.com/huggingface/transformers/pull/7242 | 704,613,852 | MDExOlB1bGxSZXF1ZXN0NDg5NTA3MTY1 | 7,242 | [s2s] distributed_eval.py saves better speed info | {
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Fixes #{issue number}
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"Hi! We're still in the process of merging squeezebert. You can see the development [here](https://github.com/huggingface/transformers/pull/7083).",
"Maybe try again now? SqueezeBERT support was recently merged into the master branch."
] | 1,600 | 1,602 | 1,600 | NONE | null | This error occurs when using the pretrained model from https://huggingface.co/squeezebert/squeezebert-mnli | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7240?src=pr&el=h1) Report\n> Merging [#7240](https://codecov.io/gh/huggingface/transformers/pull/7240?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/9397436ea57aed8b24cbe72143422358ca98d236?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7239/comments | https://api.github.com/repos/huggingface/transformers/issues/7239/events | https://github.com/huggingface/transformers/pull/7239 | 704,513,572 | MDExOlB1bGxSZXF1ZXN0NDg5NDI1Njc2 | 7,239 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7239?src=pr&el=h1) Report\n> Merging [#7239](https://codecov.io/gh/huggingface/transformers/pull/7239?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/9397436ea57aed8b24cbe72143422358ca98d236?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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"I know this PR is in a draft state, but we could (and should!) leverage @sgugger's [script](https://github.com/huggingface/transformers/pull/7219) to ensure that the copy/pasted code does not diverge once it's merged.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7238?src=pr&el=h1) Report\n>... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR tries to remove all the interdependencies across the TF models. All the `.modeling_tf_X import TFXX` where `X` is the name of a model, and `XX` is the name of a layer. All the dependent layers have been rewritten directly in the corresponding file model in order to do not have these import anymore. Only the cas... | {
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Fixes #{issue number}
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"I think that’s a better name too!",
"@n1t0 We could also fix the name (with deprecation warnings) in tokenizers before the next release? Will then need three replacements in `tokenization_utils_fast.py`.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7236?src=pr&el=h1) Report\n> Merging [#7... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | As discussed offline, replacing `is_pretokenized` in `is_split_into_words` because the users were confused by what the argument represents.
Added deprecation warnings in the functions where the code ends, can add more if you feel I have forgotten some! | {
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"@sgugger Hi, I'm a little confused when I reformat the codes by `make style` and `make quality`.\r\nIt seems that the files in those directories are not tested by isort. \r\n```\r\nmake style\r\nblack --line-length 119 --target-version py35 examples templates tests src utils\r\nAll done! ✨ 🍰 ✨\r\n417 files left u... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | In the previous version, the generation of **negative examples** was placed in `Datacollator`, which would cause `batch_size` to be **inconsistent** with the setting during training, resulting in **OOM errors**.
Now I move the negative sample generation process to `TextDataset`, although `TextDataset` will need large... | {
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"I have the same problem following the same example. Is it possible to adapt the LineByLineTextDataset class?",
"Same issue here",
"Hi, could you provide your software versions? `transformers` and `tokenizers`?",
" print(transformers.__version__)\r\n 3.3.1\r\n\r\n print(tokenizers.__version__)\r\n ... | 1,600 | 1,636 | 1,610 | NONE | null | I was trying to train a language model by following this link https://huggingface.co/blog/how-to-train , tokenizer trained successfully but when I'm loading calling this trained tokenizer in LineByLineTextDataset, it showing below error
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"Yes that is a known issue. The workaround you suggest does not work for distributed training, as the tensors need to be kept on GPU/TPU to be reduced together. Our plans to address this problem are to use the same kind of code as the metrics in `datasets`, but this is a bit of work and will take us a few weeks to ... | 1,600 | 1,675 | 1,602 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-4.15.0-112-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
### Wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/7230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7230/comments | https://api.github.com/repos/huggingface/transformers/issues/7230/events | https://github.com/huggingface/transformers/issues/7230 | 704,105,402 | MDU6SXNzdWU3MDQxMDU0MDI= | 7,230 | test fsmt finetuning | {
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"I did a quick:\r\n\r\n```\r\ndef test_finetune():\r\n model = \"stas/tiny-wmt19-en-de\"\r\n task = \"translation\" \r\n args_d: dict = CHEAP_ARGS.copy()\r\n args_d[\"label_smoothing\"] = 0.1 if task == \"translation\" else 0\r\n [...]\r\n```\r\ngetting:\r\n```\r\n torch.nn.modules.module.Modul... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Would be interested to know whether this works with finetune.py.
Just add your tiny guy to
https://github.com/huggingface/transformers/blob/master/examples/seq2seq/test_seq2seq_examples.py#L378
and edit l382 to set task='translation'.
If it doesn't pass, we can investigate, but I expect it to pass.
Happy for ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7229 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7229/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7229/comments | https://api.github.com/repos/huggingface/transformers/issues/7229/events | https://github.com/huggingface/transformers/issues/7229 | 704,095,809 | MDU6SXNzdWU3MDQwOTU4MDk= | 7,229 | a possible hack for FSMT's SinusoidalPositionalEmbedding peculiarity | {
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"### Pegasus Strategy\r\n\r\n1) `SinusoidalPositionalEmbedding` should inherit from `nn.Embedding`. This will fix your `to` problem as the weight will be an actual parameter.\r\n2) put \r\n```\r\nauthorized_missing_keys = [\"model.encoder.embed_positions\", \"model.decoder.embed_positions\",]\r\n```\r\non the user... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | (with normal CIs not running USE_CUDA=1 I completely missed testing this, so found one issue with torchscript tests that I need help with.)
We are talking about FSMT - ported fairseq transformers model.
If I understand correctly their `SinusoidalPositionalEmbedding` was designed so that it won't be part of the mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/7228 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7228/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7228/comments | https://api.github.com/repos/huggingface/transformers/issues/7228/events | https://github.com/huggingface/transformers/issues/7228 | 704,067,192 | MDU6SXNzdWU3MDQwNjcxOTI= | 7,228 | FSMT Training scripts | {
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"Thank you for the kind words, @wangyong1122.\r\n\r\nThe initial task was to port the weights so that it could be used for Translation as is, which is mostly done. I'm still working out some kinks under CUDA - I forgot to test with USE_CUDA=1 :( But I'm almost there.\r\n\r\nI'd say, how about you start the training... | 1,600 | 1,606 | 1,606 | NONE | null | Hi, thank you very much for your implementation and it helps a lot. I want to train the MT models from scratch. Could you provide some instructions about the training details for FSMT? Thanks a lot. @stas00 | {
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https://api.github.com/repos/huggingface/transformers/issues/7227 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7227/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7227/comments | https://api.github.com/repos/huggingface/transformers/issues/7227/events | https://github.com/huggingface/transformers/issues/7227 | 704,022,910 | MDU6SXNzdWU3MDQwMjI5MTA= | 7,227 | Suggestion: Better to change the task name of "sentiment-analysis" to "text-classification" | {
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"These are tasks that can be done with a specific pipeline, with a model and tokenizer as default. Having the `sentiment-analysis` task supported with a `TextClassificationPipeline` is the same as having a `ner` task supported with a `TokenClassificationPipeline`. These tasks are not generic text-classification or ... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | There is a task named ``sentiment-analysis`` in``SUPPORTED_TASKS`` used in piepelines.
https://github.com/huggingface/transformers/blob/master/src/transformers/pipelines.py#L2509
However, it can be used not only for sentiment analysis but also fo more generic tasks.
Therefore, I think it is better to rename it to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7226 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7226/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7226/comments | https://api.github.com/repos/huggingface/transformers/issues/7226/events | https://github.com/huggingface/transformers/issues/7226 | 704,018,536 | MDU6SXNzdWU3MDQwMTg1MzY= | 7,226 | The task name sentiment-analysis | {
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"Duplication of #7227"
] | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/master/src/transformers/pipelines.py#L2509 | {
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https://api.github.com/repos/huggingface/transformers/issues/7225 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7225/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7225/comments | https://api.github.com/repos/huggingface/transformers/issues/7225/events | https://github.com/huggingface/transformers/pull/7225 | 704,010,086 | MDExOlB1bGxSZXF1ZXN0NDg5MDExNTEz | 7,225 | Fix a typo | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7225?src=pr&el=h1) Report\n> Merging [#7225](https://codecov.io/gh/huggingface/transformers/pull/7225?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/67d9fc50d917c63cf67281106214e1d9ae018dff?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/7224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7224/comments | https://api.github.com/repos/huggingface/transformers/issues/7224/events | https://github.com/huggingface/transformers/pull/7224 | 703,950,689 | MDExOlB1bGxSZXF1ZXN0NDg4OTY0MzMz | 7,224 | [fsmt] rewrite SinusoidalPositionalEmbedding + USE_CUDA test fixes + new TranslationPipeline test | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7224?src=pr&el=h1) Report\n> Merging [#7224](https://codecov.io/gh/huggingface/transformers/pull/7224?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/1d90d0f386af2af52017d51c421e71a51ec94de0?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | These changes are in one PR as they all fix problems for `USE_CUDA=1`
* fix a few `USE_CUDA=1` tests that got skipped previously (was missing `.to(device)`)
* rewrite `SinusoidalPositionalEmbedding` to be a normal `nn.Embedding` subclass with a normal `self.weight` param, but exclude this param from being saved wi... | {
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https://api.github.com/repos/huggingface/transformers/issues/7223 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7223/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7223/comments | https://api.github.com/repos/huggingface/transformers/issues/7223/events | https://github.com/huggingface/transformers/pull/7223 | 703,948,648 | MDExOlB1bGxSZXF1ZXN0NDg4OTYyNjM0 | 7,223 | [s2s] remove double assert | {
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"I love your workaround and would definitely be interested in a clean contribution that made in accessible to everyone.",
"@sshleifer Thanks! I've created a pull request #7353 with this workaround.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if ... | 1,600 | 1,606 | 1,606 | 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: 3.1.0
- Platform: Linux-3.10.0-1127.el7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyTorch ver... | {
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