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https://api.github.com/repos/huggingface/transformers/issues/9830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9830/comments | https://api.github.com/repos/huggingface/transformers/issues/9830/events | https://github.com/huggingface/transformers/pull/9830 | 794,865,469 | MDExOlB1bGxSZXF1ZXN0NTYyMzA4NTU5 | 9,830 | [MT5 Import init] Fix typo | {
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"Sorry about that!"
] | 1,611 | 1,611 | 1,611 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/9829 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9829/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9829/comments | https://api.github.com/repos/huggingface/transformers/issues/9829/events | https://github.com/huggingface/transformers/pull/9829 | 794,850,959 | MDExOlB1bGxSZXF1ZXN0NTYyMjk2Mzcw | 9,829 | Update run_xnli.py to use Datasets library | {
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"Just tested the script locally and it seems to work great, congrats! We are almost done! The last part would be top adapt the end of the README in the text-classification folder to reflect how to use the new script (since the arguments are a bit different).",
"> Just tested the script locally and it seems to wor... | 1,611 | 1,613 | 1,613 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/9828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9828/comments | https://api.github.com/repos/huggingface/transformers/issues/9828/events | https://github.com/huggingface/transformers/pull/9828 | 794,844,448 | MDExOlB1bGxSZXF1ZXN0NTYyMjkwODAy | 9,828 | [LedFastTokenizer] Correct missing None statement | {
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"Thanks for fixing!"
] | 1,611 | 1,611 | 1,611 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/9827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9827/comments | https://api.github.com/repos/huggingface/transformers/issues/9827/events | https://github.com/huggingface/transformers/issues/9827 | 794,830,235 | MDU6SXNzdWU3OTQ4MzAyMzU= | 9,827 | I am trying to Fine tune on BartForConditionalGeneration but I end up getting all <pad_tokens>. Can you please help resolve it? | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,611 | 1,611 | 1,611 | NONE | null | {
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https://api.github.com/repos/huggingface/transformers/issues/9826 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9826/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9826/comments | https://api.github.com/repos/huggingface/transformers/issues/9826/events | https://github.com/huggingface/transformers/pull/9826 | 794,829,651 | MDExOlB1bGxSZXF1ZXN0NTYyMjc4NDk3 | 9,826 | Delete a needless duplicate condition | {
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"Thank you!\r\n"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
Delete a needless duplicate condition in the class `PrefixConstrainedLogitsProcessor` (`src/transformers/generation_logits_process.py`).
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https://api.github.com/repos/huggingface/transformers/issues/9825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9825/comments | https://api.github.com/repos/huggingface/transformers/issues/9825/events | https://github.com/huggingface/transformers/pull/9825 | 794,794,785 | MDExOlB1bGxSZXF1ZXN0NTYyMjQ5MDE3 | 9,825 | Add tpu_zone and gcp_project in training_args_tf.py | {
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"@sgugger \r\nI got the error message with ```make style```.\r\n\r\n```\r\nkiyoung@medical-ubuntu:~/transformers$ make style\r\nrunning deps_table_update\r\nupdating src/transformers/dependency_versions_table.py\r\nblack examples tests src utils\r\nmake: black: Command not found\r\nMakefile:42: recipe for target 's... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
Add ```tpu_zone``` and ```gcp_project``` in ```training_args_tf.py```.
For using TPUs created in a zone different from the VM zone, ```tpu_zone``` must be allocated.
See official Bert repo,
https://github.com/google-research/bert/blob/eedf5716ce1268e56f0a50264a88cafad334ac61/run_pretrainin... | {
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https://api.github.com/repos/huggingface/transformers/issues/9824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9824/comments | https://api.github.com/repos/huggingface/transformers/issues/9824/events | https://github.com/huggingface/transformers/issues/9824 | 794,708,501 | MDU6SXNzdWU3OTQ3MDg1MDE= | 9,824 | [wip] [doc] Performance and Scalability notes | {
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"The automatic mixed precision and performance tuning recipes may be helpful.\r\nhttps://pytorch.org/tutorials/recipes/recipes/amp_recipe.html\r\nhttps://pytorch.org/tutorials/recipes/recipes/tuning_guide.html\r\n",
"thank you very much, @mcarilli - this is exactly what I was looking for!",
"Going to make it in... | 1,611 | 1,624 | 1,624 | CONTRIBUTOR | null | Let's start another doc. I think it works the best to work on these as an issue and not a PR since anybody can read these easily, rather than reading a markdown.
As in the other similar [work-in-progress-doc](https://github.com/huggingface/transformers/issues/9766), let me write the bulk of it out and then you can a... | {
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https://api.github.com/repos/huggingface/transformers/issues/9823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9823/comments | https://api.github.com/repos/huggingface/transformers/issues/9823/events | https://github.com/huggingface/transformers/pull/9823 | 794,699,382 | MDExOlB1bGxSZXF1ZXN0NTYyMTcyMTE1 | 9,823 | Allow --arg Value for booleans in HfArgumentParser | {
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The primary reason I dived into this PR is because when launching a training with sagemaker, bool arguments need to be passed along with something (e.g. we can't do `--do_train`, we have to do `--do_train True` because the arguments are passed as a dict). This is refused by the current argpar... | {
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https://api.github.com/repos/huggingface/transformers/issues/9822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9822/comments | https://api.github.com/repos/huggingface/transformers/issues/9822/events | https://github.com/huggingface/transformers/pull/9822 | 794,665,170 | MDExOlB1bGxSZXF1ZXN0NTYyMTQ0Mjk2 | 9,822 | Fix auto-resume training from checkpoint | {
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"Oh you need to run `make style` on your branch for the styling test to pass. Let me know if you run into any issue doing that!",
"Sorry! I'm pretty rusty on the software dev stuff - college was 16 years ago. I think I've fixed it now."
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
This fixes a few minor issues with training auto-resume, as discussed [here](https://github.com/huggingface/transformers/pull/9776#issuecomment-767841895)
1. `checkpoints = [path for path in content if _re_checkpoint.search(path) is not None and os.path.isdir(path)]` was returning empty. I... | {
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https://api.github.com/repos/huggingface/transformers/issues/9821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9821/comments | https://api.github.com/repos/huggingface/transformers/issues/9821/events | https://github.com/huggingface/transformers/issues/9821 | 794,583,399 | MDU6SXNzdWU3OTQ1ODMzOTk= | 9,821 | [trainer] renaming cl args/ trainer attributes to be clear per-gpu vs total | {
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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.",
"I'd love to get feedback on that. Thank you!",
"As it doesn't seem to resonate as a real... | 1,611 | 1,616 | 1,616 | CONTRIBUTOR | null | As we started discussing here https://github.com/huggingface/transformers/issues/9801#issuecomment-767825869 perhaps we could have a design session where we look at all of the trainer cl args (and their class attribute counterparts) and see which of them contain ambiguity wrt per-gpu vs total (and perhaps other importa... | {
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https://api.github.com/repos/huggingface/transformers/issues/9820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9820/comments | https://api.github.com/repos/huggingface/transformers/issues/9820/events | https://github.com/huggingface/transformers/pull/9820 | 794,583,162 | MDExOlB1bGxSZXF1ZXN0NTYyMDc1MzM5 | 9,820 | Add a flag for find_unused_parameters | {
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This PR adds a flag to control whether `find_unused_parameters` is set to `True` or not in DDP training, while keeping the current behavior as default to avoid any breaking change.
Fixes #9802 | {
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https://api.github.com/repos/huggingface/transformers/issues/9819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9819/comments | https://api.github.com/repos/huggingface/transformers/issues/9819/events | https://github.com/huggingface/transformers/pull/9819 | 794,579,936 | MDExOlB1bGxSZXF1ZXN0NTYyMDcyNjA3 | 9,819 | Add head_mask and decoder_head_mask to FSMT | {
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"I know than one can add, for example, a line like this\r\n```\r\n# Copied from transformers.models.bart.modeling_bart.BartAttention with Bart->FSMT\r\n```\r\nbefore `Attention` module in FSMT. However, this does not copy only additions, but the whole module from BART, which is, in this case, undesirable, I guess, ... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | This PR implements `head_mask` and `decoder_head_mask` for FSMT and it is the follow-up to the open issue #9814.
**Motivation:** This PR is a part of an endeavour to enable the usage of `head_mask` and `decoder_head_mask` for all encoder-decoder transformers following the recent work on BART-like models (#9569).
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https://api.github.com/repos/huggingface/transformers/issues/9818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9818/comments | https://api.github.com/repos/huggingface/transformers/issues/9818/events | https://github.com/huggingface/transformers/pull/9818 | 794,567,640 | MDExOlB1bGxSZXF1ZXN0NTYyMDYyMjI4 | 9,818 | When resuming training from checkpoint, Trainer loads model | {
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"If I may add, under `def train():`, I think the initialisation of `self._globalstep_last_logged = 0` should be `self._globalstep_last_logged=self.state.global_step`, to ensure that the first logging of the loss is correct when you later divide by `self.state.global_step-self._globalstep_last_logged`? "
] | 1,611 | 1,611 | 1,611 | COLLABORATOR | null | # What does this PR do?
Trainer was not reloading model when resuming training from a checkpoint, which was confusing for users (see #9099) and also was preventing the recent auto-reload from checkpoint to fully work.
This isn't a breaking change (if users were passing a model with the checkpoint already loaded, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9817/comments | https://api.github.com/repos/huggingface/transformers/issues/9817/events | https://github.com/huggingface/transformers/pull/9817 | 794,551,009 | MDExOlB1bGxSZXF1ZXN0NTYyMDQ4MjA0 | 9,817 | [docs] expand install instructions | {
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- clarify that the user is not installing the release version but bleed edge
- expand how to update it
- gives the shortcut at doing it all in one command and not needing to keep the checkout folder around
@LysandreJik, @sgugge... | {
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https://api.github.com/repos/huggingface/transformers/issues/9816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9816/comments | https://api.github.com/repos/huggingface/transformers/issues/9816/events | https://github.com/huggingface/transformers/pull/9816 | 794,535,798 | MDExOlB1bGxSZXF1ZXN0NTYyMDM1MzY4 | 9,816 | Setup logging with a stdout handler | {
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Explicitly add stdout as a handler for the logging configuration in the example scripts, otherwise no logs are reported when training on sagemaker. Also consistently sets the level of the logging outside of the config method, as otherwise it does not work (probably a bug in the logging module... | {
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https://api.github.com/repos/huggingface/transformers/issues/9815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9815/comments | https://api.github.com/repos/huggingface/transformers/issues/9815/events | https://github.com/huggingface/transformers/pull/9815 | 794,492,489 | MDExOlB1bGxSZXF1ZXN0NTYxOTk5Mzg5 | 9,815 | Fix a bug in run_glue.py (#9812) | {
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"Thanks for the fix!",
"Thank you for your quick response!"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
It seems the `if` statement for `label_to_id` seems to be strange.
There should be `not` before `is_regression`.
Fixes #9812
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor... | {
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https://api.github.com/repos/huggingface/transformers/issues/9814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9814/comments | https://api.github.com/repos/huggingface/transformers/issues/9814/events | https://github.com/huggingface/transformers/issues/9814 | 794,486,591 | MDU6SXNzdWU3OTQ0ODY1OTE= | 9,814 | Missing head_mask and decoder_head_mask arguments in encoder-decoder models | {
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Following the PRs #9569, #9634 and #9639, there are other encoder-decoder models, which either do not support `head_mask` and `decoder_head_mask` input arguments at all or can be only provided with a single `head_mask` argument used for head masking both in encoder and decoder. It would be, ther... | {
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https://api.github.com/repos/huggingface/transformers/issues/9813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9813/comments | https://api.github.com/repos/huggingface/transformers/issues/9813/events | https://github.com/huggingface/transformers/pull/9813 | 794,473,758 | MDExOlB1bGxSZXF1ZXN0NTYxOTgzODgz | 9,813 | ADD BORT | {
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"> Thanks for adding this new model! When referencing other pages in the documentation, it's better to use `:doc:` instead of a hard link, as it will then work in all versions of the documentation (which don't have the same base url).\r\n\r\nSorry that was my bad! I copied it from DialoGPT -> Updated it there as we... | 1,611 | 1,612 | 1,611 | COLLABORATOR | null | Hi,
this is a "clean" follow-up PR to the first attempt of adding Bort to Transformers (see #9112).
As Bort is based on the BERT architecture, there's no need to define own model classes, such as `BortModel`. This is done in the main Bort configuration via:
```json
"model_type": "bert"
```
Bort uses the s... | {
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https://api.github.com/repos/huggingface/transformers/issues/9812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9812/comments | https://api.github.com/repos/huggingface/transformers/issues/9812/events | https://github.com/huggingface/transformers/issues/9812 | 794,467,745 | MDU6SXNzdWU3OTQ0Njc3NDU= | 9,812 | `label_to_id` in `run_glue.py` seems to have a wrong `if` statement | {
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"Yes, there should be a not here. Do you want to open a PR since you found the problem and its fix?",
"Thanks, I'd love to open a PR! Please wait a minute.",
"I've opened a PR to fix this issue, and all checks have passed.\r\nI would be grateful if you could check it when you have time. "
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.3.0.dev0
- Platform: Linux-4.4.0-179-generic-x86_64-with-glibc2.10
- Python version: 3.8.0
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?): 2.4.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### W... | {
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https://api.github.com/repos/huggingface/transformers/issues/9811 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9811/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9811/comments | https://api.github.com/repos/huggingface/transformers/issues/9811/events | https://github.com/huggingface/transformers/pull/9811 | 794,463,287 | MDExOlB1bGxSZXF1ZXN0NTYxOTc1MjQz | 9,811 | adapt mbart and generate for Mbart50 | {
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"I like the idea of using `LogitsProcessor`, my only concern is now each time the user wants to use a different `max_length` they would need to pass the `forced_pos_id_pairs= {max_length: eos_token_id}`.\r\n\r\nAlso IMO `prefix_token` sounds more intuitive than `forced_pos_id_pairs`. So I think we could add `ForceT... | 1,611 | 1,613 | 1,613 | MEMBER | null | # What does this PR do?
This PR adapts `MBartForConditionalGeneration` and `generate` for mbart-50 models.
There are two main differences between mbart-50 and existing mbart-cc25 models
1. for mbart-50 both source and target language text begin with the `<language token>`, in mbart-cc25 `<language_token>` is us... | {
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https://api.github.com/repos/huggingface/transformers/issues/9810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9810/comments | https://api.github.com/repos/huggingface/transformers/issues/9810/events | https://github.com/huggingface/transformers/issues/9810 | 794,439,866 | MDU6SXNzdWU3OTQ0Mzk4NjY= | 9,810 | Can I use a smaller base model than allenai/led-base-16384 for LED? | {
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"I'd suggest to still use `allenai/led-base-16384` and just pad the input to a maximum length of only `2048`. Also you could think about reducing `config.attention_window` of the model's config to something like 512 or 256 to make your model more efficient for `2048` input",
"E.g. in this notebook: https://colab.... | 1,611 | 1,611 | 1,611 | NONE | null | Hello, I'm trying to fine tune my own Longformer Encoder Decoder following this [notebook](https://colab.research.google.com/drive/12LjJazBl7Gam0XBPy_y0CTOJZeZ34c2v?usp=sharing#scrollTo=jpUr9QeebZ-n). However, I was wondering if there was a way to consider a base model like
`allenai/longformer-base-4096`
instead... | {
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https://api.github.com/repos/huggingface/transformers/issues/9809 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9809/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9809/comments | https://api.github.com/repos/huggingface/transformers/issues/9809/events | https://github.com/huggingface/transformers/pull/9809 | 794,370,868 | MDExOlB1bGxSZXF1ZXN0NTYxODk5MTE2 | 9,809 | Fix fine-tuning translation scripts | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/9808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9808/comments | https://api.github.com/repos/huggingface/transformers/issues/9808/events | https://github.com/huggingface/transformers/pull/9808 | 794,336,337 | MDExOlB1bGxSZXF1ZXN0NTYxODcwMzcy | 9,808 | Adding a test to prevent late failure in the Table question answering pipeline. | {
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- If table is empty then the line that contain `answer[0]` will fail.
- This PR add a check to prevent `answer[0]`.
- Also adds an early check for presence of `table` and `query` to
prevent late failure and give better error message.
- Adds a few tests to make sure these errors are correctly ra... | {
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https://api.github.com/repos/huggingface/transformers/issues/9807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9807/comments | https://api.github.com/repos/huggingface/transformers/issues/9807/events | https://github.com/huggingface/transformers/pull/9807 | 794,304,150 | MDExOlB1bGxSZXF1ZXN0NTYxODQzNjU1 | 9,807 | Partial local tokenizer load | {
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Fixes #9147 which explains the issue in a lot of detail.
Currently, if we download a tokenizer from the hub using the `from_pretrained` method:
```py
from transformers import BertTokenizer
tokenizer = BertTokenizer.from_pretrained("google/bert_unca... | {
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https://api.github.com/repos/huggingface/transformers/issues/9806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9806/comments | https://api.github.com/repos/huggingface/transformers/issues/9806/events | https://github.com/huggingface/transformers/pull/9806 | 794,273,850 | MDExOlB1bGxSZXF1ZXN0NTYxODE4MTc3 | 9,806 | Add a test for TF mixed precision | {
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"I don't think that the tests that fails are related to this PR."
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a test to check if our TF models are float16 compliant or not. It also helps me to detect what are those that have to be fixed. | {
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https://api.github.com/repos/huggingface/transformers/issues/9805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9805/comments | https://api.github.com/repos/huggingface/transformers/issues/9805/events | https://github.com/huggingface/transformers/pull/9805 | 794,261,700 | MDExOlB1bGxSZXF1ZXN0NTYxODA3OTY1 | 9,805 | Commit the last step on world_process_zero in WandbCallback | {
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"Would it make sense to move [those 2 lines](https://github.com/huggingface/transformers/blob/0dd939bf1e01594eadf21b40e5cdb07001233cbf/src/transformers/integrations.py#L573-L574) to the init method instead of setting `self._log_model` to False?",
"This should be equivalent indeed, and probably easier to read",
... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
Only commit the last step on the first process (`is_world_process_zero == True`), to avoid calling `wandb.log()` without a prior call to `wandb.init()` (the latter being only called on the first process) with DDP.
Fixes (at least partially) #9623
## Before submitting
- [ ] This PR fix... | {
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https://api.github.com/repos/huggingface/transformers/issues/9804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9804/comments | https://api.github.com/repos/huggingface/transformers/issues/9804/events | https://github.com/huggingface/transformers/issues/9804 | 794,175,108 | MDU6SXNzdWU3OTQxNzUxMDg= | 9,804 | Finetuning ProphetNet with Seq2SeqTrainer fails. | {
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"Hey @alexvaca0,\r\n\r\nThanks for your issue. We have started to create a more general script called `run_seq2seq.py` with which fine-tuning ProphetNet should work rather easily. \r\n\r\nCould you try to pull current master and do:\r\n\r\n```\r\npython examples/seq2seq/run_seq2seq.py --learning_rate=3e-5 --task su... | 1,611 | 1,632 | 1,632 | 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: 4.2.1
- Platform: Ubuntu 18
- Python version: 3.7
- PyTorch version (GPU?): 1.7.1 (YES)
- Tensorflow versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/9803 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9803/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9803/comments | https://api.github.com/repos/huggingface/transformers/issues/9803/events | https://github.com/huggingface/transformers/issues/9803 | 794,120,320 | MDU6SXNzdWU3OTQxMjAzMjA= | 9,803 | convert_graph_to_onnx.convert broken for model bart-large / wmt19-en-de | {
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"Thank you very much, @oborchers for opening a new ticket and re-testing with other models and verifying that this problem is project-wide.\r\n\r\nI hope @mfuntowicz gets a chance to have a look at it, or tag someone else who understands this sub-domain.",
"Hi @mfuntowicz @stas00 , is this a known issue with GPT2... | 1,611 | 1,698 | 1,698 | NONE | null | @stas00's edit on top:
I currently don't have the know-how in this domain, so if there are members of the community with ONNX experience and this issue resonates with you, please don't hesitate to comment if you'd like to work on resolving this. Thank you very much!
------------------------
## Environment info... | {
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https://api.github.com/repos/huggingface/transformers/issues/9802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9802/comments | https://api.github.com/repos/huggingface/transformers/issues/9802/events | https://github.com/huggingface/transformers/issues/9802 | 793,963,980 | MDU6SXNzdWU3OTM5NjM5ODA= | 9,802 | [trainer] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters | {
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"Edit: I am not sure why this param is always set to `True` except for gradient checkpointing. We can certainly make a training argument control its value to avoid hard-coding it. At least to experiment and benchmark whether it's best at True/False."
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | When running DDP:
```
rm -r /tmp/test-clm; CUDA_VISIBLE_DEVICES=0,1 python -m torch.distributed.launch --nproc_per_node 2 \
run_clm.py --model_name_or_path gpt2 --dataset_name wikitext --dataset_config_name wikitext-2-raw-v1 \
--do_train --output_dir /tmp/test-clm --per_device_train_batch_size 4 --max_steps 200
``... | {
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https://api.github.com/repos/huggingface/transformers/issues/9801 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9801/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9801/comments | https://api.github.com/repos/huggingface/transformers/issues/9801/events | https://github.com/huggingface/transformers/issues/9801 | 793,953,344 | MDU6SXNzdWU3OTM5NTMzNDQ= | 9,801 | [trainer] a consistent way to limit the number of items | {
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"Mmm, which scripts use `n_obs`? I don't remember seeing this one the official maintained examples.\r\n\r\n`--max_steps` is different from `n_train`/`n_val`/`n_test`: `--max_steps` runs training for `max_steps`, using the *full training set*. `--n_train` restrains the training set to its first `n_train` samples. Th... | 1,611 | 1,618 | 1,614 | CONTRIBUTOR | null | # 🚀 Feature request
We have:
1. `finetune_trainer.py` has
```
n_train: Optional[int] = field(default=-1, metadata={"help": "# training examples. -1 means use all."})
n_val: Optional[int] = field(default=-1, metadata={"help": "# validation examples. -1 means use all."})
n_test: Optional[int] = fi... | {
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https://api.github.com/repos/huggingface/transformers/issues/9800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9800/comments | https://api.github.com/repos/huggingface/transformers/issues/9800/events | https://github.com/huggingface/transformers/pull/9800 | 793,949,722 | MDExOlB1bGxSZXF1ZXN0NTYxNTQ4NjE3 | 9,800 | [traner] fix --lr_scheduler_type choices | {
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"This fix works, but only for this particular enum. I'm wondering if it shouldn't be better to just change [this line](https://github.com/huggingface/transformers/blob/master/src/transformers/hf_argparser.py#L83) in `HFArgumentParser`? For instance\r\n```bash\r\n$ python examples/text-classification/run_glue.py -h ... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | This PR fixes:
```
$ python ./run_clm.py -h | grep lr_scheduler_type
[--lr_scheduler_type {SchedulerType.LINEAR,SchedulerType.COSINE,SchedulerType.COSINE_WITH_RESTARTS,SchedulerType.POLYNOMIAL,SchedulerType.CONSTANT,SchedulerType.CONSTANT_WITH_WARMUP}]
```
to:
```
[--lr_schedu... | {
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https://api.github.com/repos/huggingface/transformers/issues/9799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9799/comments | https://api.github.com/repos/huggingface/transformers/issues/9799/events | https://github.com/huggingface/transformers/pull/9799 | 793,846,950 | MDExOlB1bGxSZXF1ZXN0NTYxNDY0MjIw | 9,799 | Authorize last version of tokenizer | {
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"Yeah I forgot to add this in a comment -> Talked to @n1t0 about it and he says those are unwanted breaking changes, so we will pin to the next patch release he is going to make to tokenizers. Leaving the PR open in the meantime!",
"Added a few more things to this PR:\r\n- Use last tokenizers RC release\r\n- Upda... | 1,611 | 1,612 | 1,612 | COLLABORATOR | null | # What does this PR do?
This PR bumps the version pinned in the setup to authorize the last version of tokenziers (which in particular contains fixes for the `run_qa` script). | {
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https://api.github.com/repos/huggingface/transformers/issues/9798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9798/comments | https://api.github.com/repos/huggingface/transformers/issues/9798/events | https://github.com/huggingface/transformers/pull/9798 | 793,785,315 | MDExOlB1bGxSZXF1ZXN0NTYxNDE0Mjg4 | 9,798 | Smdistributed trainer | {
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"Very cool integration.🚀 🚀 🔥 🔥 \r\nI'm doing some tests over the day for single-GPU and multi-GPU and let you know if I find something strange"
] | 1,611 | 1,611 | 1,611 | COLLABORATOR | null | # What does this PR do?
This PR adds support for the variant of `torch.distributed` developed by AWS on SageMaker (`smdistributed`). It's been tested to work on the `run_glue` example.
The main steps are:
- to replace all operations from the `torch.distributed` module by their equivalent in `smdistributed.torch.... | {
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https://api.github.com/repos/huggingface/transformers/issues/9797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9797/comments | https://api.github.com/repos/huggingface/transformers/issues/9797/events | https://github.com/huggingface/transformers/issues/9797 | 793,784,278 | MDU6SXNzdWU3OTM3ODQyNzg= | 9,797 | Conversion of Electra checkpoint from official repo TF (pretrained on custom dataset) | {
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"You can see from the message that it's skipping the optimizer states. We're only saving the model, so it makes sense that the optimizer states are discarded :)",
"Thanks you for your reply ! \r\n\r\nI will close the issue then."
] | 1,611 | 1,611 | 1,611 | 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: latest from pip install git+https://github.com/huggingface/transformers.git
- Platform: Colab
- Python versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/9796 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9796/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9796/comments | https://api.github.com/repos/huggingface/transformers/issues/9796/events | https://github.com/huggingface/transformers/pull/9796 | 793,760,074 | MDExOlB1bGxSZXF1ZXN0NTYxMzkzMjc4 | 9,796 | Improve pytorch examples for fp16 | {
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"Thanks for addressing the comments, this is good to go IMO.\r\nPro-tip, if you edit your description to replace `Issue #9752` by `Fixes #9752`, the issue will be automatically closed when we merge this PR."
] | 1,611 | 1,612 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
When fp16 is True in pytorch training examples, use padding to multiple of 8, if the currently used data collator allows, to speed up training. If no collator was used, add one using the padding option.
Fixes #9752
## Who can review?
Trainer: @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/9795 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9795/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9795/comments | https://api.github.com/repos/huggingface/transformers/issues/9795/events | https://github.com/huggingface/transformers/issues/9795 | 793,750,307 | MDU6SXNzdWU3OTM3NTAzMDc= | 9,795 | does LED use distributed training by default? | {
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"Ah, I just noticed `Seq2SeqTrainingArguments` sets `local_rank=-1` by default"
] | 1,611 | 1,611 | 1,611 | NONE | null | Hello, I'm currently fine tuning the `allenai/led-base-16384` model and following allow this [notebook](https://colab.research.google.com/drive/12LjJazBl7Gam0XBPy_y0CTOJZeZ34c2v?usp=sharing#scrollTo=jpUr9QeebZ-n) .The node that I'm using has a couple of V100-SXM2-16GB GPUs in it. That said, does `Seq2SeqTrainer` automa... | {
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https://api.github.com/repos/huggingface/transformers/issues/9794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9794/comments | https://api.github.com/repos/huggingface/transformers/issues/9794/events | https://github.com/huggingface/transformers/pull/9794 | 793,727,383 | MDExOlB1bGxSZXF1ZXN0NTYxMzY2MjY0 | 9,794 | [Flaky Generation Tests] Make sure that no early stopping is happening for beam search | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/9793 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9793/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9793/comments | https://api.github.com/repos/huggingface/transformers/issues/9793/events | https://github.com/huggingface/transformers/issues/9793 | 793,696,300 | MDU6SXNzdWU3OTM2OTYzMDA= | 9,793 | Add the ability to skip runtime version check | {
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"If anyone else comes here, until this is fixed you can find the version in `transformers/dependency_versions_check.py` - e.g. change `\"tokenizers\": \"tokenizers==0.9.4\"` to `\"tokenizers\": \"tokenizers>=0.9.4\"`",
"This issue has been automatically marked as stale and been closed because it has not had recen... | 1,611 | 1,614 | 1,614 | NONE | null | # 🚀 Feature request
Add the ability to skip version check / raise a warning instead of an error if the checks failed.
## Motivation
Currently, Transformers perform a runtime libraries version check and raise an error if some of the requirements has a version that is different from the specified.
While vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/9792 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9792/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9792/comments | https://api.github.com/repos/huggingface/transformers/issues/9792/events | https://github.com/huggingface/transformers/issues/9792 | 793,685,907 | MDU6SXNzdWU3OTM2ODU5MDc= | 9,792 | Strange start token in MT5 generation | {
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"One more thing: this behavior still persists after I fine tuned the model on my own dataset",
"Hi @tomdzh \r\n\r\nfirst of all, unlike the original T5, mT5 is not pre-trained on any supervised downstream task (like summarization, translation etc), so generation work without fine-tuning it.\r\n\r\nAlso, it would ... | 1,611 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux
- Python version: 3.6
- PyTorch version (GPU?):1.7.1
### Who can help
Text Generation: @patrickvonplaten @TevenLeScao
T5: @patrickvonplaten
## Information
Model I am using (Bert, XLNet ...): MT5
## To reproduce
Steps to repr... | {
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https://api.github.com/repos/huggingface/transformers/issues/9791 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9791/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9791/comments | https://api.github.com/repos/huggingface/transformers/issues/9791/events | https://github.com/huggingface/transformers/pull/9791 | 793,671,387 | MDExOlB1bGxSZXF1ZXN0NTYxMzIwMDE1 | 9,791 | Fix broken links in the converting tf ckpt document | {
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"I think the following comment of my own can be left as a PR for the future.\r\nThis change seems to require a modification of the `convert` code, and I think it may be necessary to separate it from this broken link issue.\r\n\r\nI'm sorry for saying such a thing, even though the following is what I wrote.\r\n\r\n>... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
This PR is to fix broken links in ["Converting TensorFlow Checkpoints"](https://huggingface.co/transformers/converting_tensorflow_models.html).
Advised by @LysandreJik in issue #9656, I updated the links.
I also refer to issue #8720 and it seems the issue is solved by this PR.
I think ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9790/comments | https://api.github.com/repos/huggingface/transformers/issues/9790/events | https://github.com/huggingface/transformers/pull/9790 | 793,665,244 | MDExOlB1bGxSZXF1ZXN0NTYxMzE1MDU4 | 9,790 | RagTokenForGeneration: Fixed parameter name for logits_processor | {
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The parameter name for the beam_search and greedy_search functions of the GenerationMixin is (now?) logits_processor not pre_processor. This fix makes prefix_allowed_tokens_fn work (again?).
## Who can review?
Rag: @patrickvonplaten, @lhoestq
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"@lhoestq Thanks for the suggestions! All the CI checks pass now."
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
This PR makes RAG output the generator model's decoder cross-attentions when `output_attentions=True`.
Motivation and context: before this PR, RAG's output objects had attributes for the generator's encoder self-attentions and decoder self-attentions, but no option for the encoder-decoder ... | {
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"I fully rework the keywords addition part to keep only those that seemed the most meaningful."
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to clean the code base of BERT and the other models that depends of it because of the `#Copied from...`. It also clean the template accordingly to the same changes applied in BERT.
The other models will receive the same type of cleaning, but each model will have its own PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/9787 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9787/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9787/comments | https://api.github.com/repos/huggingface/transformers/issues/9787/events | https://github.com/huggingface/transformers/pull/9787 | 793,382,879 | MDExOlB1bGxSZXF1ZXN0NTYxMDgwMjU3 | 9,787 | Fix model parallel definition in superclass | {
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https://github.com/huggingface/transformers/blob/626116b7d76efef5137c3b4a92e64e3bb57a6882/src/transformers/trainer.py#L244
cc @stas00 @... | {
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https://api.github.com/repos/huggingface/transformers/issues/9786 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9786/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9786/comments | https://api.github.com/repos/huggingface/transformers/issues/9786/events | https://github.com/huggingface/transformers/issues/9786 | 793,336,279 | MDU6SXNzdWU3OTMzMzYyNzk= | 9,786 | Truncated Translations with mT5 model | {
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"I've read these similar issue\r\n\r\n[#5654](https://github.com/huggingface/transformers/issues/5656)\r\n[#7500](https://github.com/huggingface/transformers/issues/7500)\r\n\r\nbut couldn't get the information needed.\r\n\r\n@sshleifer @patil-suraj Any idea why this is happening? (Sorry for tagging everyone, I've ... | 1,611 | 1,611 | 1,611 | 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: 4.2
- Platform: GCP
- Python version: 3.7
- PyTorch version (GPU?): 1.7
- Using GPU in script?: V100
- Usi... | {
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https://api.github.com/repos/huggingface/transformers/issues/9785 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9785/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9785/comments | https://api.github.com/repos/huggingface/transformers/issues/9785/events | https://github.com/huggingface/transformers/issues/9785 | 793,292,525 | MDU6SXNzdWU3OTMyOTI1MjU= | 9,785 | GPT2 MNLI training using run_glue.py | {
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"As explained in the documentation: \"`run_glue.py`: This script can fine-tune the following models: BERT, XLM, XLNet and RoBERTa.\"\r\n\r\n=> GPT-2 is a Transformer decoder, which can learn to generate text in an autoregressive way. It is not aimed at GLUE tasks, which are sequence classification tasks. ",
"Hi! ... | 1,611 | 1,666 | 1,612 | NONE | null | Running this on Google Colab,
```
!python run_glue.py \
--model_name_or_path gpt2 \
--task_name mnli \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_gpu_train_batch_size 10 \
--gradient_accumulation_steps 32\
--learning_rate 2e-5 \
--num_train_epochs 3.0 \
--output_dir models/g... | {
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https://api.github.com/repos/huggingface/transformers/issues/9784 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9784/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9784/comments | https://api.github.com/repos/huggingface/transformers/issues/9784/events | https://github.com/huggingface/transformers/issues/9784 | 793,260,709 | MDU6SXNzdWU3OTMyNjA3MDk= | 9,784 | Translation Model in ONNX: Choosable Output Formats | {
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"Hello, Thanks for you work on that @oborchers ! I also saw the notebook on SentenceTransformers and it helped a lot ! \r\n\r\nAny status about this feature ? I also need to run models in onnx but most of them need to call a `.generate` function which is for now not supported... (I could replicate all the generate ... | 1,611 | 1,635 | null | NONE | null | # 🚀 Feature request
I am requesting to provide an option to specify the output format for the `translation_xx_to_yy` export to ONNX models. Currently, the output of [convert_graph_to_onnx.convert](https://github.com/huggingface/transformers/blob/6a346f0358a40f89ec384d441233bf54cac44f6a/src/transformers/convert_grap... | {
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https://api.github.com/repos/huggingface/transformers/issues/9783 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9783/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9783/comments | https://api.github.com/repos/huggingface/transformers/issues/9783/events | https://github.com/huggingface/transformers/pull/9783 | 793,237,962 | MDExOlB1bGxSZXF1ZXN0NTYwOTU5NTky | 9,783 | Adding `skip_special_tokens=True` to FillMaskPipeline | {
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"If it's a bug users relied on, then it's a feature, not a bug. \r\n\r\nAnyway I'll merge this.",
"Good point, but I don't think that's the case here. Do you think users rely on the previous behavior? If that's the case, then we should revert this PR until we change of major version."
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
- It's backward incompatible.
- It makes for sense for pipelines to remove references to special_tokens
(all of the other pipelines do that).
- Keeping special tokens makes it hard for users to actually remove them
because all models have different tokens (`<s>`, `<cls>`,` [CLS]`, ....)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9782 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9782/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9782/comments | https://api.github.com/repos/huggingface/transformers/issues/9782/events | https://github.com/huggingface/transformers/pull/9782 | 793,207,932 | MDExOlB1bGxSZXF1ZXN0NTYwOTM0ODg3 | 9,782 | Add BlenderbotSmallForCausalLM for EncoderDecoder | {
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"Hey @sadakmed, sorry I might have been a bit unclear here. Could you instead of opening new PRs add your added code directly to your PR here: https://github.com/huggingface/transformers/pull/9128? The `#Copy from` statements force us to have all the code in the same PR.\r\n\r\nAlso we need a decoder-only test for ... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
Implementing BlenderbotSmallForCausalLM
Issue #9066
PR #9128
@patrickvonplaten
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https://api.github.com/repos/huggingface/transformers/issues/9781 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9781/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9781/comments | https://api.github.com/repos/huggingface/transformers/issues/9781/events | https://github.com/huggingface/transformers/pull/9781 | 793,204,830 | MDExOlB1bGxSZXF1ZXN0NTYwOTMyMzE0 | 9,781 | Implementation of BlenderbotForCausalLM | {
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"Hey @sadakmed, sorry I might have been a bit unclear here. Could you instead of opening new PRs add your added code directly to your PR here: https://github.com/huggingface/transformers/pull/9128? The `#Copy from` statements force us to have all the code in the same PR.\r\n\r\nAlso we need a decoder-only test for ... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
implementing BlenderbotForCausalLM for EncoderDecoder use, like ProphetNetForCausalLM
Fixes # (issue)
#9066
#9128
@patrickvonplaten
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https://api.github.com/repos/huggingface/transformers/issues/9780 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9780/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9780/comments | https://api.github.com/repos/huggingface/transformers/issues/9780/events | https://github.com/huggingface/transformers/issues/9780 | 793,196,334 | MDU6SXNzdWU3OTMxOTYzMzQ= | 9,780 | Calculating Confidence score for Question Answering Models | {
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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.",
"model_name = \"distilbert-base-uncased-finetuned-sst-2-english\"\r\n\r\nmodel = AutoModelF... | 1,611 | 1,663 | 1,614 | NONE | null | For QA task (extractive QA) the pipeline provides/returns 4 values.
1. a probability score
2. start index
3. end index
4. extracted answer
(https://huggingface.co/transformers/main_classes/pipelines.html#transformers.QuestionAnsweringPipeline)
But If I am using the model class directly (not using pipeline) ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9779/comments | https://api.github.com/repos/huggingface/transformers/issues/9779/events | https://github.com/huggingface/transformers/issues/9779 | 793,186,407 | MDU6SXNzdWU3OTMxODY0MDc= | 9,779 | I want to train a BART model for conditional text generation. I want to train the encoder and the decoder separately for a specific task. Can anyone help with the code? I am new to this. @patrickvonplaten | {
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"Hi @Sai-Ashish \r\n\r\nPlease use the forum https://discuss.huggingface.co/ for asking such questions. Use issues to report bugs, feature requests, etc. Thanks!\r\n\r\nClosing it",
"have you came up with solution?"
] | 1,611 | 1,631 | 1,611 | 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 scrip... | {
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https://api.github.com/repos/huggingface/transformers/issues/9778 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9778/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9778/comments | https://api.github.com/repos/huggingface/transformers/issues/9778/events | https://github.com/huggingface/transformers/issues/9778 | 793,181,782 | MDU6SXNzdWU3OTMxODE3ODI= | 9,778 | Link Not Working | {
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"Thanks for pointing it out, the files are now renames to `distil_marian_enro_teacher.sh`, `distil_marian_no_teacher.sh` and are available here \r\nhttps://github.com/huggingface/transformers/blob/master/examples/research_projects/seq2seq-distillation/distil_marian_enro_teacher.sh\r\n\r\nhttps://github.com/huggingf... | 1,611 | 1,611 | 1,611 | NONE | null |
@patrickvonplaten
I was looking at the MarianMT docs, and in the "Examples" section, the link for "Fine-Tune on GPU" and "Fine-Tune on GPU with pytorch-lightning" is broken.
Kindly look into this issue.
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https://api.github.com/repos/huggingface/transformers/issues/9777 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9777/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9777/comments | https://api.github.com/repos/huggingface/transformers/issues/9777/events | https://github.com/huggingface/transformers/issues/9777 | 793,108,910 | MDU6SXNzdWU3OTMxMDg5MTA= | 9,777 | padding='max_length' allowing more than max length | {
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"Could you post a short code snippet so we can reproduce ?",
"> Could you post a short code snippet so we can reproduce ?\r\n\r\nThis is my code.\r\n\r\n```\r\nclass GPReviewDataset(Dataset):\r\n def __init__(self, reviews, targets, tokenizer, max_len):\r\n self.reviews = reviews\r\n self.targets... | 1,611 | 1,611 | 1,611 | NONE | null | I compared my tokenized data with `pad_to_max_length=True` and `padding='max_length'`. My `max_length` was set to 160. However I noticed there were a couple of data that were tokenized more than 160 when I used `padding='max_length'` versus `pad_to_max_length=True` | {
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https://api.github.com/repos/huggingface/transformers/issues/9776 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9776/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9776/comments | https://api.github.com/repos/huggingface/transformers/issues/9776/events | https://github.com/huggingface/transformers/pull/9776 | 792,961,434 | MDExOlB1bGxSZXF1ZXN0NTYwNzI3NzE1 | 9,776 | Auto-resume training from checkpoint | {
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"I was having a problem getting this to actually resume training on my system, and I had to make three small changes to the new code in trainer_utils.py:\r\n\r\n1. `checkpoints = [path for path in content if _re_checkpoint.search(path) is not None and os.path.isdir(path)]` was returning empty. I changed `os.path.is... | 1,611 | 1,611 | 1,611 | COLLABORATOR | null | # What does this PR do?
Feature suggested by @madlag.
In the examples scripts, change the current behavior so if checkpoints are present in the output_dir passed to the script command, the training resumes from there. If the `output_dir` exists, is nonempty but has no checkpoint, the same behavior as before is app... | {
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https://api.github.com/repos/huggingface/transformers/issues/9775 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9775/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9775/comments | https://api.github.com/repos/huggingface/transformers/issues/9775/events | https://github.com/huggingface/transformers/issues/9775 | 792,910,031 | MDU6SXNzdWU3OTI5MTAwMzE= | 9,775 | New API for TensorFlow saved models not compatible with T5 and MarianMT | {
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"Pinging @jplu ",
"Hello!!\r\n\r\nYes this is a known issue for the Seq2Seq models, that is already fixed in master.",
"Hi @jplu \r\n\r\nI'll close the issue as the fix will be in the next release for sure. \r\n\r\nThanks again. "
] | 1,611 | 1,611 | 1,611 | 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: 4.2.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9774 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9774/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9774/comments | https://api.github.com/repos/huggingface/transformers/issues/9774/events | https://github.com/huggingface/transformers/pull/9774 | 792,904,964 | MDExOlB1bGxSZXF1ZXN0NTYwNjg0OTQy | 9,774 | adding MarianForCausalLM for EncoderDecoder use | {
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"Hey @sadakmed, sorry I might have been a bit unclear here. Could you instead of opening new PRs add your added code directly to your PR here: https://github.com/huggingface/transformers/pull/9128? The `#Copy from` statements force us to have all the code in the same PR.\r\n\r\nAlso we need a test for this.",
"He... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
adding MarianForCausalLM for EncoderDecoder use
Fixes #9066
PR #9128
@patrickvonplaten
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https://api.github.com/repos/huggingface/transformers/issues/9773 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9773/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9773/comments | https://api.github.com/repos/huggingface/transformers/issues/9773/events | https://github.com/huggingface/transformers/issues/9773 | 792,881,080 | MDU6SXNzdWU3OTI4ODEwODA= | 9,773 | RagRetriever question_hidden_states shape | {
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"I'm pretty sure it's just a bad naming of that variable. It should be question_encoder_pooler_output.\r\n\r\nIndeed this variable is computed as the first output of a `DPRQuestionEncoder`. The DPR encoders don't return the hidden states (they basically skip it) to return the pooler output (aka DPR embeddings) of s... | 1,611 | 1,614 | 1,614 | 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: 4.2.2
- Platform: Linux-5.4.0-60-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.7
- PyTorch v... | {
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https://api.github.com/repos/huggingface/transformers/issues/9772 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9772/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9772/comments | https://api.github.com/repos/huggingface/transformers/issues/9772/events | https://github.com/huggingface/transformers/issues/9772 | 792,854,192 | MDU6SXNzdWU3OTI4NTQxOTI= | 9,772 | Add classes for Multi-label classification models? | {
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"Hi @LysandreJik is this feature request being worked on by someone? If not, I would love to take it up. Thanks!",
"Hello! \r\n\r\nThere is existing support for this thanks to the `problem_type` configuration attribute for some Sequence classification models, see here: https://huggingface.co/transformers/main_cla... | 1,611 | 1,696 | 1,696 | CONTRIBUTOR | null | # 🚀 Feature request
It would be nice to add classes for Multi-label classification models to the library.
## Motivation
In my projects, I need to perform Multi-label classification. This problem setting is quite common in real-life modelling.
## Your contribution
As there isn't a class implemented for ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9771 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9771/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9771/comments | https://api.github.com/repos/huggingface/transformers/issues/9771/events | https://github.com/huggingface/transformers/issues/9771 | 792,844,542 | MDU6SXNzdWU3OTI4NDQ1NDI= | 9,771 | TF loss function output inconsistent with Pytorch one for multiple tasks | {
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"Hello!\r\n\r\nThis is the expected behavior, if you want any reduction on the loss, you have to do it yourself on your side, not inside the respective compute_loss function.",
"Hi, thanks for the explanation. \r\nI realized it was probably by design, it's just odd that it differs so much in behavior from the Pyt... | 1,611 | 1,612 | 1,612 | 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: 4.3.0.dev0
- Platform: Linux-5.10.7-gentoo-x86_64-AMD_Ryzen_9_3950X_16-Core_Processor-with-glibc2.2.5
- Pytho... | {
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https://api.github.com/repos/huggingface/transformers/issues/9770 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9770/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9770/comments | https://api.github.com/repos/huggingface/transformers/issues/9770/events | https://github.com/huggingface/transformers/issues/9770 | 792,828,371 | MDU6SXNzdWU3OTI4MjgzNzE= | 9,770 | TFBartForConditionalGeneration with labels padded with -100 gives Nan loss. | {
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"I found that TFBart models use ```padding token``` for masking ```decoder_input_ids``` instead of using ```-100 token```, which is different from T5 models. So this is not a bug, but a little confusing because some of the bart code and documents talk about ```-100 token```.\r\n\r\nAlso, losses from ```torch``` and... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | I am pretraining T5 and Bart.
I noticed that the padding token for ```labels``` of these models should be -100 for ```decoder_input_ids```.
I change the padding token for labels for T5(pytorch, tensorflow) and Bart(pytorch), and it works well.
But, For Bart(tensorflow) gives Nan loss.
Because of this, I also ge... | {
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https://api.github.com/repos/huggingface/transformers/issues/9769 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9769/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9769/comments | https://api.github.com/repos/huggingface/transformers/issues/9769/events | https://github.com/huggingface/transformers/issues/9769 | 792,814,321 | MDU6SXNzdWU3OTI4MTQzMjE= | 9,769 | saving best model only using modelcheckpoint keras | {
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"Have you taken a look at the [Keras docs](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/ModelCheckpoint)?",
"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... | 1,611 | 1,615 | 1,614 | NONE | null | while using model.fit for training a Transformer model, how to use `tf.keras.callbacks.ModelCheckpoint` with `'save_best_only=True'` to save only the best model?
`model.fit([input_ids_train, attention_mask_train], train_labels,
validation_data=([input_ids_valid, attention_mask_valid], valid_labels),
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9768 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9768/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9768/comments | https://api.github.com/repos/huggingface/transformers/issues/9768/events | https://github.com/huggingface/transformers/pull/9768 | 792,806,031 | MDExOlB1bGxSZXF1ZXN0NTYwNjA4NjM5 | 9,768 | PegasusForCausalLM, analog to `ProphetNetForCausalLM` | {
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"Hey @sadakmed, sorry I might have been a bit unclear here. Could you instead of opening new PRs add your added code directly to your PR here: https://github.com/huggingface/transformers/pull/9128? The `#Copy from` statements force us to have all the code in the same PR.\r\n\r\nAlso we need a decoder-only test for ... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
this PR is implementing PegasusForCausalLM for EncoderDecoder use like ProphetNetForCausalLM and it follow work of BartForCausalLM #9128
issue #9066
for a organisation matter, each one is in its own PR. @patrickvonplaten
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import tensorflow as tf
from tensorflow.keras.preprocessing.sequence import pad_sequences
from transformers import TFBartModel, BartConfig
from tensorflow import keras
npfile = np.load("train_dataset.npz")
inp_ids = npfile["arr_0"][:1000]
out_ids = npfile["arr_1"][:1000]
out_ids = pad_seque... | {
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------------------------
## Parallelism overview
In the modern machine learn... | {
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https://api.github.com/repos/huggingface/transformers/issues/9765 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9765/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9765/comments | https://api.github.com/repos/huggingface/transformers/issues/9765/events | https://github.com/huggingface/transformers/pull/9765 | 792,710,668 | MDExOlB1bGxSZXF1ZXN0NTYwNTM3Mjk2 | 9,765 | [wip] [pipeline parallel] t5 - experiment | {
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"Thanks @stas00 , I am getting what looks like a torch error when I run this (I'm not sure if the \"Failed to look up the IP address for the hostname\" error is related -- I'm not able to find much on this except for an issue from a few days ago that mentions this: https://github.com/pytorch/pytorch/issues/50700 ):... | 1,611 | 1,626 | 1,622 | CONTRIBUTOR | null | This PR is not ready for reviews.
I'm putting it up primarily for those who want an early preview of a possible Pipeline solution. @PeterAJansen, you wanted to see if you could get it working with 4x 40GB rig and t5-11b. Please give it a try.
-------------------
## Intention
We want to replace the naive mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/9764 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9764/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9764/comments | https://api.github.com/repos/huggingface/transformers/issues/9764/events | https://github.com/huggingface/transformers/issues/9764 | 792,684,056 | MDU6SXNzdWU3OTI2ODQwNTY= | 9,764 | index mismatch in "offset_mapping" with TokenizerFast and pre-tokenized input | {
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"Hi @simoneorlando\r\n\r\nThis is indeed intended behavior. The values in `offset_mapping` return a mapping to the original input, and when you provide pre-tokenized input, each of them is treated individually. In this case, you can use the word mapping to know where you should do your extraction:\r\n```python\r\nf... | 1,611 | 1,611 | 1,611 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7.0+cu101 (False)
- Tensorflow version (GPU?): 2.4.0 (False)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <... | {
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https://api.github.com/repos/huggingface/transformers/issues/9763 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9763/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9763/comments | https://api.github.com/repos/huggingface/transformers/issues/9763/events | https://github.com/huggingface/transformers/issues/9763 | 792,635,809 | MDU6SXNzdWU3OTI2MzU4MDk= | 9,763 | squad_v2 crashes during evaluation | {
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"It might be because I didn't provide the version_2_with_negative argument. Sorry! :) ",
"https://github.com/huggingface/transformers/tree/main/examples/pytorch/question-answering mentions it. Although it it likely to be ignored. : )"
] | 1,611 | 1,668 | 1,611 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-4.9.5-64-nvidia-418.43-x86_64-with-debian-jessie-sid
- Python version: 3.7.7
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: True
- Using distributed or parallel set-up in script... | {
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https://api.github.com/repos/huggingface/transformers/issues/9762 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9762/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9762/comments | https://api.github.com/repos/huggingface/transformers/issues/9762/events | https://github.com/huggingface/transformers/pull/9762 | 792,635,238 | MDExOlB1bGxSZXF1ZXN0NTYwNDc5MjE5 | 9,762 | Fix a typo in `Trainer.hyperparameter_search` docstring | {
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# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/9761 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9761/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9761/comments | https://api.github.com/repos/huggingface/transformers/issues/9761/events | https://github.com/huggingface/transformers/pull/9761 | 792,516,370 | MDExOlB1bGxSZXF1ZXN0NTYwMzg5NzM3 | 9,761 | Fix broken [Open in Colab] links (#9688) | {
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"ping @patil-suraj ",
"Thank you for fixing this!"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | Resolves https://github.com/huggingface/transformers/issues/9688 | {
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https://api.github.com/repos/huggingface/transformers/issues/9760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9760/comments | https://api.github.com/repos/huggingface/transformers/issues/9760/events | https://github.com/huggingface/transformers/pull/9760 | 792,413,521 | MDExOlB1bGxSZXF1ZXN0NTYwMzAwODk2 | 9,760 | fix text summarization evaluation bugs when calculate rouge | {
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"only two lines changed but it take much effort to pass the check!\r\nI think it may be important for the evaluation result.\r\nThey are simple but true bugs",
"Great catch @ShichaoSun and thank you for working on this!\r\nWe are in the process of finishing the [new standalone seq2seq script](https://github.com/... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null |
# What does this PR do?
fix text summarization evaluation bugs when calculate rouge
It is important for calculating rouge
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github... | {
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https://api.github.com/repos/huggingface/transformers/issues/9759 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9759/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9759/comments | https://api.github.com/repos/huggingface/transformers/issues/9759/events | https://github.com/huggingface/transformers/pull/9759 | 792,411,386 | MDExOlB1bGxSZXF1ZXN0NTYwMjk5MjIw | 9,759 | fix a small bug | {
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just a typo | {
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https://api.github.com/repos/huggingface/transformers/issues/9758 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9758/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9758/comments | https://api.github.com/repos/huggingface/transformers/issues/9758/events | https://github.com/huggingface/transformers/issues/9758 | 792,280,084 | MDU6SXNzdWU3OTIyODAwODQ= | 9,758 | save tokenizer and model from fine tuned LED model | {
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```python
model.save_pretrained("new_model... | {
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https://api.github.com/repos/huggingface/transformers/issues/9757 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9757/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9757/comments | https://api.github.com/repos/huggingface/transformers/issues/9757/events | https://github.com/huggingface/transformers/issues/9757 | 792,220,856 | MDU6SXNzdWU3OTIyMjA4NTY= | 9,757 | Extra indicators for BPE for Unicode Characters | {
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"Pinging @n1t0 ",
"Thanks! I think it's something related to the Byte-Level Subwords trick (https://arxiv.org/pdf/1909.03341.pdf)? ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease ... | 1,611 | 1,618 | 1,618 | 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: 4.2.2
- Platform: Linux-4.15.0-45-generic-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyTorch version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/9756 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9756/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9756/comments | https://api.github.com/repos/huggingface/transformers/issues/9756/events | https://github.com/huggingface/transformers/pull/9756 | 792,182,791 | MDExOlB1bGxSZXF1ZXN0NTYwMTA4NzQ2 | 9,756 | Remove a TF usage warning and rework the documentation | {
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"Not in favor of this to be honest...Warnings / Print statements are super important IMO. It's weird that `tf.Print` is not supported in XLA -> how are logs / warnings / print statements then produced in XLA?",
"XLA/Graph/TFlite execution are not made to have things to be printed, this includes some of the assert... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
Recently we moved the warning for boolean argument misused in TF models from `warnings.warning(...)` to `tf.Print` to avoid the overhelm of messages in the output. Nevertheless, the usage of `tf.Print` prevent all our TF models to be compiled and executed with XLA and quantized with TFLite be... | {
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https://api.github.com/repos/huggingface/transformers/issues/9755 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9755/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9755/comments | https://api.github.com/repos/huggingface/transformers/issues/9755/events | https://github.com/huggingface/transformers/pull/9755 | 792,141,673 | MDExOlB1bGxSZXF1ZXN0NTYwMDc1MzM5 | 9,755 | Fix a TF test | {
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Fix a miss changed test.
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https://api.github.com/repos/huggingface/transformers/issues/9754 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9754/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9754/comments | https://api.github.com/repos/huggingface/transformers/issues/9754/events | https://github.com/huggingface/transformers/issues/9754 | 792,109,208 | MDU6SXNzdWU3OTIxMDkyMDg= | 9,754 | Improve the `run_xlni` example to use the Datasets library | {
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"Really good idea! I was looking at the `run_xnli` script the last days - because I wanted to test the \"Language-Agnostic\" models from [here](https://github.com/AIPHES/Language-Agnostic-Contextualized-Encoders) - and datasets integration would make experiments a lot more easier. "
] | 1,611 | 1,613 | 1,613 | COLLABORATOR | null | The [`run_xlni`](https://github.com/huggingface/transformers/blob/master/examples/text-classification/run_xnli.py) example should be improved (following the model of [`run_glue`](https://github.com/huggingface/transformers/blob/master/examples/text-classification/run_glue.py)) to use the Datasets library to download an... | {
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https://api.github.com/repos/huggingface/transformers/issues/9753 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9753/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9753/comments | https://api.github.com/repos/huggingface/transformers/issues/9753/events | https://github.com/huggingface/transformers/issues/9753 | 792,108,973 | MDU6SXNzdWU3OTIxMDg5NzM= | 9,753 | named_parameters not showing embedding matrix of RobertaLMHead (more a question than a bug) | {
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"I found out that the input embedding and output embedding weights are tied by default, which is why the output embedding weights end up in state_dict, but not in the named_parameters (they are overcomplete).",
"I've found this issue too when trying to log parameters/gradients to Weights & Biases. It doesn't log ... | 1,611 | 1,682 | 1,611 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7.0+cu101 (True)
- Tensorflow version (GPU?): 2.4.0 (True)
- 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/9752 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9752/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9752/comments | https://api.github.com/repos/huggingface/transformers/issues/9752/events | https://github.com/huggingface/transformers/issues/9752 | 792,107,285 | MDU6SXNzdWU3OTIxMDcyODU= | 9,752 | Improve PyTorch examples for FP16 | {
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"Hi @sgugger \r\nThis is not done, although closed, please have a look into https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm.py \r\nfor line-by-line padding is not multiple of 8, thanks "
] | 1,611 | 1,616 | 1,611 | COLLABORATOR | null | To get the full speed-up of FP16 training, every tensor passed through the model should have all its dimensions be a multiple of 8. In the new PyTorch examples, when using dynamic padding, the tensors are padded to the length of the biggest sentence of the batch, but that number is not necessarily a multiple of 8.
T... | {
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https://api.github.com/repos/huggingface/transformers/issues/9751 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9751/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9751/comments | https://api.github.com/repos/huggingface/transformers/issues/9751/events | https://github.com/huggingface/transformers/pull/9751 | 792,101,108 | MDExOlB1bGxSZXF1ZXN0NTYwMDQyODQ5 | 9,751 | AdaFactor: avoid updating group["lr"] attributes | {
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"Can you provide evidence that supports the following:\r\n\r\n> Updating group[\"lr\"] makes the result of ._get_lr() depends on the previous call, i.e., on the scale of other parameters. **This isn't supposed to happen.**\r\n\r\nThanks!\r\n\r\n\r\n",
"> Can you provide evidence that supports the following:\r\n> ... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | This affects Adafactor with `relative_step=False` and `scale_parameter=True`.
Updating `group["lr"]` makes the result of ._get_lr() depends on the previous call, i.e., on the scale of other parameters. This isn't supposed to happen.
# What does this PR do?
I've observed weird behaviors when using Adafactor wit... | {
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https://api.github.com/repos/huggingface/transformers/issues/9750 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9750/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9750/comments | https://api.github.com/repos/huggingface/transformers/issues/9750/events | https://github.com/huggingface/transformers/issues/9750 | 791,987,957 | MDU6SXNzdWU3OTE5ODc5NTc= | 9,750 | ValueError: Couldn't instantiate the backend tokenizer while loading model tokenizer | {
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"Hey @rsanjaykamath, \r\n\r\nI cannot reproduce the error on `master`. When running:\r\n\r\n```python\r\nfrom transformers import AutoTokenizer, T5ForConditionalGeneration\r\n\r\nmodel_name = \"allenai/unifiedqa-t5-small\" # you can specify the model size here\r\ntokenizer = AutoTokenizer.from_pretrained(model_name... | 1,611 | 1,698 | 1,611 | 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: 4.2.2
- Platform: Colab
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9749 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9749/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9749/comments | https://api.github.com/repos/huggingface/transformers/issues/9749/events | https://github.com/huggingface/transformers/pull/9749 | 791,934,362 | MDExOlB1bGxSZXF1ZXN0NTU5OTA1MzY2 | 9,749 | Use object store to pass trainer object to Ray Tune (makes it work with large models) | {
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Tuning large models with Ray Tune did not work recently. By passing the trainer object via the object store we avoid serialization of the global object, fixing these issues.
I could reproduce the issue in #9146 on a AWS p2.xlarge node and could confirm it is resolved by these changes.
<... | {
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https://api.github.com/repos/huggingface/transformers/issues/9748 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9748/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9748/comments | https://api.github.com/repos/huggingface/transformers/issues/9748/events | https://github.com/huggingface/transformers/issues/9748 | 791,881,936 | MDU6SXNzdWU3OTE4ODE5MzY= | 9,748 | Trainer object empties dataset | {
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"Your dataset is not really emptied (I agree it looks like this however). It's just viewed without the columns the model can accept. You can restore all your columns with\r\n```\r\ndataset[\"train\"].set_format(columns=list(dataset[\"train\"].features.keys())\r\n``` \r\nor more simply\r\n```\r\ndataset[\"train\"].r... | 1,611 | 1,611 | 1,611 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-4.14.81.bm.20-amd64-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.0 (True)
- Tensorflow version (GPU?): 2.3.1 (True)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
## Informati... | {
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https://api.github.com/repos/huggingface/transformers/issues/9747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9747/comments | https://api.github.com/repos/huggingface/transformers/issues/9747/events | https://github.com/huggingface/transformers/issues/9747 | 791,856,802 | MDU6SXNzdWU3OTE4NTY4MDI= | 9,747 | mT5 additional_special_tokens seems not work | {
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"Hi! Could you either post a link to your notebook or your code as actual code? Images makes it impossible to copy/paste or for others to search with similar issues. Thanks.",
"> Hi! Could you either post a link to your notebook or your code as actual code? Images makes it impossible to copy/paste or for others t... | 1,611 | 1,685 | 1,612 | NONE | null | I want add some special tokens such as <POS> <CON_START> . But T5tokenizer/MT5tokenizer both can't tokenize correctly after using additional_special_tokens parameter. It still split these special tokens to subwords.
<img width="1015" alt="截圖 2021-01-22 下午5 18 00" src="https://user-images.githubusercontent.com/2617121... | {
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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."
] | 1,611 | 1,614 | 1,614 | NONE | null | # the "numpy.append" method is not suitable for large evaluation/test dataset
It will cause "memory ops blocked issue" (i.e. system wait for a large area of continuous memory to expand the array) because numpy array requires continuous memory, and will try to re-allocate a ram space when the current capacity is not en... | {
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https://api.github.com/repos/huggingface/transformers/issues/9745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9745/comments | https://api.github.com/repos/huggingface/transformers/issues/9745/events | https://github.com/huggingface/transformers/issues/9745 | 791,688,069 | MDU6SXNzdWU3OTE2ODgwNjk= | 9,745 | fine tune patrickvonplaten/longformer2roberta-cnn_dailymail-fp16 using LED updates | {
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"Hi @mmoya01 \r\n\r\nYou could fine-tune `longformer2roberta` model using the `EncoderDecoder` model class. `patrickvonplaten/longformer2roberta-cnn_dailymail-fp16` is already fine-tuned on but as the model card says it was fine-tuned for just demo, so you should fine-tune a new `longformer2roberta`. You could foll... | 1,611 | 1,619 | 1,619 | NONE | null | I was wondering if there was anyway to fine tune the
`patrickvonplaten/longformer2roberta-cnn_dailymail-fp16` model instead of `patrickvonplaten/led-large-16384-pubmed`? When I tried fine tuning it in the past I ran into the
`TypeError: forward() got an unexpected keyword argument 'head_mask'` issue given that `Enc... | {
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"The wrong alignments are caused by the `Precompiled` normalizer in `tokenizers`. This will be fixed in version 0.10.1 of the library.",
"This is fixed for any version of `transformers>=4.3.0`"
] | 1,611 | 1,612 | 1,612 | 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: 4.2.2
- Platform: Linux-4.15.0-124-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/9743 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9743/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9743/comments | https://api.github.com/repos/huggingface/transformers/issues/9743/events | https://github.com/huggingface/transformers/issues/9743 | 791,624,172 | MDU6SXNzdWU3OTE2MjQxNzI= | 9,743 | DistilGPT2 extremely strange model behaviour | {
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"Extra info:\r\n\r\ncommand: ``python3 -m torch.distributed.launch \\\r\n --nproc_per_node=$N_GPU_NODE \\\r\n --nnodes=$N_NODES \\\r\n --node_rank $NODE_RANK \\\r\n train.py \\\r\n --force \\\r\n --fp16 \\\r\n --n_epoch 3 \\\r\n --checkpoint_interval 2000 \\\r\n --batc... | 1,611 | 1,614 | 1,614 | 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: 4.3.0.dev0
- Platform: Linux-4.15.0-91-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/9742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9742/comments | https://api.github.com/repos/huggingface/transformers/issues/9742/events | https://github.com/huggingface/transformers/issues/9742 | 791,601,431 | MDU6SXNzdWU3OTE2MDE0MzE= | 9,742 | --fp16 fine-tuning appears to be taking more memory (4.3.0). | {
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"Note that the memory as reported by nvidia-smi is not a perfectly reliable source (@stas00 could explain better than me why), the reliable metric is the batch size at which you get OOM. It is known on our side that FP16 does not save any memory for this particular script (I was investigating a general memory regre... | 1,611 | 1,614 | 1,614 | 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: 4.3.0.dev0
- Platform: Linux-5.4.0-62-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.6
- PyTo... | {
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https://api.github.com/repos/huggingface/transformers/issues/9741 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9741/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9741/comments | https://api.github.com/repos/huggingface/transformers/issues/9741/events | https://github.com/huggingface/transformers/pull/9741 | 791,595,977 | MDExOlB1bGxSZXF1ZXN0NTU5NjI4ODg5 | 9,741 | examples: fix XNLI url | {
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"Thank you for fixing this!"
] | 1,611 | 1,611 | 1,611 | COLLABORATOR | null | Hi,
this PR fixes the URL for the XNLI dataset in the text classification example.
(/cc @sleepinyourhat :hugs: ) | {
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https://api.github.com/repos/huggingface/transformers/issues/9740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9740/comments | https://api.github.com/repos/huggingface/transformers/issues/9740/events | https://github.com/huggingface/transformers/issues/9740 | 791,531,295 | MDU6SXNzdWU3OTE1MzEyOTU= | 9,740 | RAG Model without DPR | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead? Feel free to tag @patrickvonplaten or @lhoestq on the forum, they'll probably be able to answer your quesitons :).\r\n\r\nThanks!"
... | 1,611 | 1,611 | 1,611 | NONE | null | Hello everyone,
I am interesting in studying how RAG generator answers questions without the DPR retriever but with other passages / contexts identified by other methods.
For example in the code below
```from transformers import RagRetriever
from transformers import RagTokenizer, RagRetriever, RagTokenForGenera... | {
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https://api.github.com/repos/huggingface/transformers/issues/9739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9739/comments | https://api.github.com/repos/huggingface/transformers/issues/9739/events | https://github.com/huggingface/transformers/issues/9739 | 791,459,025 | MDU6SXNzdWU3OTE0NTkwMjU= | 9,739 | Error using TFAutoModelForSequenceClassification with Tensorflow 2.2.0 | {
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"@jplu could answer here",
"Hello!\n\nThe last version os Transformers needs TensorFlow 2.3 as the min version.",
"Got it. I switched to Pytorch for testing it, so I have not faced the same issue. Out of curiousity, if I wanted to run huggingface transformers on TF 2.2.0, what version of transformers do I need ... | 1,611 | 1,611 | 1,611 | NONE | null | Hello.
I am trying to implement `TFAutoModelForSequenceClassification` in my code following the example for sequence classification as shown [here](https://huggingface.co/transformers/task_summary.html#sequence-classification)
The code is as follows:
```
from transformers import AutoTokenizer, TFAutoModelFor... | {
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https://api.github.com/repos/huggingface/transformers/issues/9738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9738/comments | https://api.github.com/repos/huggingface/transformers/issues/9738/events | https://github.com/huggingface/transformers/pull/9738 | 791,392,486 | MDExOlB1bGxSZXF1ZXN0NTU5NDU5MzY5 | 9,738 | [fsmt] onnx triu workaround | {
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"I'm a bit worried that this fix will blow up the memory for very long sequences, *e.g.* applying this to a max_length of 16384 (which we already have for LED) would create a 16384 ** 2 = 1GB tensor",
"Wouldn't this work-around be better in terms of memory? https://github.com/pytorch/pytorch/issues/32968#issueco... | 1,611 | 1,634 | 1,611 | CONTRIBUTOR | null | This PR
* solves
```
RuntimeError: Exporting the operator triu to ONNX opset version 12 is not supported. Please open a bug to request ONNX export support for the missing operator.
```
as reported in https://github.com/huggingface/transformers/issues/9737.
It adds a workaround for `triu` no... | {
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https://api.github.com/repos/huggingface/transformers/issues/9737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9737/comments | https://api.github.com/repos/huggingface/transformers/issues/9737/events | https://github.com/huggingface/transformers/issues/9737 | 791,380,873 | MDU6SXNzdWU3OTEzODA4NzM= | 9,737 | [fsmt] Exporting the operator triu to ONNX opset version 12 is not supported | {
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"Applied a workaround in https://github.com/huggingface/transformers/pull/9738"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | As a follow up to https://github.com/huggingface/transformers/issues/9722
```
import torch
import transformers
from transformers import convert_graph_to_onnx
from pathlib import Path
convert_graph_to_onnx.convert(
framework="pt",
model="facebook/wmt19-en-de",
output=Path("encoder/en_de_trans.on... | {
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https://api.github.com/repos/huggingface/transformers/issues/9736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9736/comments | https://api.github.com/repos/huggingface/transformers/issues/9736/events | https://github.com/huggingface/transformers/pull/9736 | 791,378,964 | MDExOlB1bGxSZXF1ZXN0NTU5NDQ4NDEx | 9,736 | [fsmt] token_type_ids isn't used | {
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`token_type_ids` was returned by default by the tokenizer, but it isn't used by the model.
The original fsmt port was a frankenstein of bart for the model and xlm for the tokenizer, hence the discrepancy.
I thought the te... | {
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https://api.github.com/repos/huggingface/transformers/issues/9735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9735/comments | https://api.github.com/repos/huggingface/transformers/issues/9735/events | https://github.com/huggingface/transformers/pull/9735 | 791,342,737 | MDExOlB1bGxSZXF1ZXN0NTU5NDE4OTA3 | 9,735 | Add `report_to` training arguments to control the integrations used | {
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This PR introduces a new `report_to` training argument that controls which of the multiple reporting tools to use in a training round. Currently, `Trainer` automatically uses everything installed, which can cause trouble when:
- one platform is installed but not properly set up.
- one platf... | {
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https://api.github.com/repos/huggingface/transformers/issues/9734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9734/comments | https://api.github.com/repos/huggingface/transformers/issues/9734/events | https://github.com/huggingface/transformers/pull/9734 | 791,308,599 | MDExOlB1bGxSZXF1ZXN0NTU5MzkwOTUx | 9,734 | Fixes to run_seq2seq and instructions | {
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This PR fixes two issues in the new `run_seq2seq` script and adds instructions on how to run it. The fixes are:
- default of `val_max_target_length` to `max_target_length` (had forgotten to do this in the initial PR)
- add an optional prefix to the source text (for T5 models) | {
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https://api.github.com/repos/huggingface/transformers/issues/9733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9733/comments | https://api.github.com/repos/huggingface/transformers/issues/9733/events | https://github.com/huggingface/transformers/pull/9733 | 791,301,672 | MDExOlB1bGxSZXF1ZXN0NTU5Mzg1MjEx | 9,733 | [WIP] Small improvement in shape manipulation in t5, makes exporting | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,611 | 1,619 | 1,619 | CONTRIBUTOR | null | # What does this PR do?
(torchscript + ONNX) easier because shape inference is not static.
- Still requires a test that would make sure there's not regression
there.
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"This probably seems more related to your system rather than `Trainer` or `finetune_trainer.py` ",
"thanks, but I just do not see why this happens, any idea is appreciated\n\nOn Thu, Jan 21, 2021 at 5:01 PM Suraj Patil <notifications@github.com>\nwrote:\n\n> This probably seems more related to your system rather ... | 1,611 | 1,614 | 1,614 | 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: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.6
- Tensorflow version (GPU?): -
- Us... | {
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"hi @twadada \r\n\r\n> Somehow the huggingface model has a smaller vocab size, and 51200 is out of index\r\n\r\n50,265 is the actual vocab size, the rest of the tokens are dummy tokens as you can see in this issue pytorch/fairseq#2242\r\n\r\nSo I don't think 51200 can be the `mask_token_id`",
"Hi @patil-suraj \r\... | 1,611 | 1,635 | 1,635 | NONE | null | ## 🐛 Bug
The mask token id of BART is different between fairseq (torch.hub) and huggingface, and this discrepancy leads to different results in mask_filling. So I wonder which token id is actually correct.
(After checking the norm of the embedding at each mask token id, I feel that torch.hub might be correct. ... | {
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