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https://api.github.com/repos/huggingface/transformers/issues/9930 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9930/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9930/comments | https://api.github.com/repos/huggingface/transformers/issues/9930/events | https://github.com/huggingface/transformers/issues/9930 | 798,522,543 | MDU6SXNzdWU3OTg1MjI1NDM= | 9,930 | Hyperparameter search w/ RayTune BrokenPipeError: [Errno 32] Broken pipe | {
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"Hey @marcoabrate it looks like you're seeing the same error as here https://github.com/huggingface/transformers/issues/9146. This should be fixed on transformers master and the latest Ray nightly wheels. Can you try with those and see if that fixes this? You can install the latest Ray nightly wheels by following t... | 1,612 | 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: 4.1.1
- Platform: Google Colab
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7
- Using GPU in script?... | {
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https://api.github.com/repos/huggingface/transformers/issues/9929 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9929/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9929/comments | https://api.github.com/repos/huggingface/transformers/issues/9929/events | https://github.com/huggingface/transformers/issues/9929 | 798,482,350 | MDU6SXNzdWU3OTg0ODIzNTA= | 9,929 | Hyperparameter search w/ Optuna CUDA out of memory | {
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"I don't think optuna properly optimizes GPU memory. We don't have support from them so you may be better using ray-tune, where the maintainers happily reply to question on our GitHub in case of problems. ",
"Thank you. I was using Optuna because with RayTune I get an error even before the first trial starts. I w... | 1,612 | 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: 4.1.1
- Platform: Google Colab and Ubuntu
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7
- Using GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/9928 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9928/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9928/comments | https://api.github.com/repos/huggingface/transformers/issues/9928/events | https://github.com/huggingface/transformers/pull/9928 | 798,472,218 | MDExOlB1bGxSZXF1ZXN0NTY1MjgzNjQ4 | 9,928 | [Tokenizer Utils Base] Make pad function more flexible | {
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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.
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https://api.github.com/repos/huggingface/transformers/issues/9927 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9927/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9927/comments | https://api.github.com/repos/huggingface/transformers/issues/9927/events | https://github.com/huggingface/transformers/issues/9927 | 798,321,716 | MDU6SXNzdWU3OTgzMjE3MTY= | 9,927 | Missing None verification in the CLM language modeling example | {
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"HI @Aunsiels you are right, thanks! Feel free to open PR to fix it :)\r\n\r\nIf `train_file` is `None` it should use `validation_file` to get the extension"
] | 1,612 | 1,612 | 1,612 | NONE | null | Here: https://github.com/huggingface/transformers/blob/1682804ebd504d3381523116773583a52f35afd1/examples/language-modeling/run_clm.py#L230, data_args.train_file can be None (as it is checked some lines above). Therefore, there should be a check to see if it is the case or not.
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https://api.github.com/repos/huggingface/transformers/issues/9926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9926/comments | https://api.github.com/repos/huggingface/transformers/issues/9926/events | https://github.com/huggingface/transformers/issues/9926 | 798,291,473 | MDU6SXNzdWU3OTgyOTE0NzM= | 9,926 | Deploying a transformers pipeline into Google Cloud AI-Platform prediction | {
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"Hmmm I would say the issue here comes from `tqdm`. Do you know how come there is no distribution for `tqdm`? Managing to install it as a standalone would be a good first step imo.",
"pinging @philschmid or @n1t0 who might know about Google's AI Platform (and other ways to deploy in the cloud)",
"> Hmmm I would... | 1,612 | 1,617 | 1,612 | NONE | null | I am trying to deploy the model "distilbert-base-uncased-finetuned-sst-2-english" into Google Cloud AI-platform with a [customer prediction routine](https://cloud.google.com/ai-platform/prediction/docs/custom-prediction-routines).
The code stays pretty simple but I encounter an issue when deploying the model.
```... | {
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https://api.github.com/repos/huggingface/transformers/issues/9925 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9925/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9925/comments | https://api.github.com/repos/huggingface/transformers/issues/9925/events | https://github.com/huggingface/transformers/issues/9925 | 798,290,297 | MDU6SXNzdWU3OTgyOTAyOTc= | 9,925 | Implementing ELECTRIC training for ELECTRA | {
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Google released Electric this summer at EMNLP (see: [here](https://www.aclweb.org/anthology/2020.emnlp-main.20.pdf)). Electric is like ELECTRA, but trained using a Noise Contrastive Estimation loss instead of a negative sampling loss.
## Motivation
Electric is well-suited for modeling per... | {
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https://api.github.com/repos/huggingface/transformers/issues/9924 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9924/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9924/comments | https://api.github.com/repos/huggingface/transformers/issues/9924/events | https://github.com/huggingface/transformers/pull/9924 | 798,247,951 | MDExOlB1bGxSZXF1ZXN0NTY1MDk0NDQz | 9,924 | [docs] fix auto model docs | {
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Small doc fixes for auto model classes. | {
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https://api.github.com/repos/huggingface/transformers/issues/9923 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9923/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9923/comments | https://api.github.com/repos/huggingface/transformers/issues/9923/events | https://github.com/huggingface/transformers/pull/9923 | 798,236,875 | MDExOlB1bGxSZXF1ZXN0NTY1MDg1MTM0 | 9,923 | Fix bart conversion script | {
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Fix import and add the `make_linear_from_emb` function in the script. | {
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https://api.github.com/repos/huggingface/transformers/issues/9922 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9922/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9922/comments | https://api.github.com/repos/huggingface/transformers/issues/9922/events | https://github.com/huggingface/transformers/pull/9922 | 798,233,021 | MDExOlB1bGxSZXF1ZXN0NTY1MDgyMDQz | 9,922 | Tensorflow doc changes on loss output size | {
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<!--
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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.
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https://api.github.com/repos/huggingface/transformers/issues/9921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9921/comments | https://api.github.com/repos/huggingface/transformers/issues/9921/events | https://github.com/huggingface/transformers/pull/9921 | 798,134,937 | MDExOlB1bGxSZXF1ZXN0NTY1MDAwNTEy | 9,921 | [Templates] Add template "call-for-model" markdown and "call-for-big-bird" markdown | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/9920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9920/comments | https://api.github.com/repos/huggingface/transformers/issues/9920/events | https://github.com/huggingface/transformers/issues/9920 | 798,100,137 | MDU6SXNzdWU3OTgxMDAxMzc= | 9,920 | Would you like to add convert the generator script by ConvBert | {
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"Pinging @abhishekkrthakur ",
"@abhishekkrthakur I have try to convert a mlm convbert to transformers one, this is the convert code\r\n\r\n```\r\nimport torch\r\nimport os\r\n\r\nimport tensorflow as tf\r\n\r\nfrom transformers import ConvBertConfig, ConvBertForMaskedLM, ConvBertPreTrainedModel\r\nfrom transforme... | 1,612 | 1,619 | 1,619 | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request
related to a problem? e.g., I'm always frustrated when [.... | {
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https://api.github.com/repos/huggingface/transformers/issues/9919 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9919/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9919/comments | https://api.github.com/repos/huggingface/transformers/issues/9919/events | https://github.com/huggingface/transformers/issues/9919 | 797,896,287 | MDU6SXNzdWU3OTc4OTYyODc= | 9,919 | AttributeError: module 'torch.utils' has no attribute 'checkpoint' for fine tune LED | {
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"Hi @mmoya01 \r\n\r\nThis error happens if `torch.utils.checkpoint` is not imported. This is fixed on master now, see #9626",
"@patil-suraj thank you, that work",
"I still get the same error (when training DeBERTa-V3-base) on a colab GPU with Trainsformers==4.12\r\n\r\nI using\r\n`model.gradient_checkpointing_... | 1,612 | 1,662 | 1,612 | NONE | null | hello, I fine tuned my own LED model by following this [notebook](https://colab.research.google.com/drive/12LjJazBl7Gam0XBPy_y0CTOJZeZ34c2v?usp=sharing#scrollTo=tLM3niQqhEzP) and I saved it using
```python
led.save_pretrained("longformer2Bart")
tokenizer.save_pretrained("longformer2Bart")
```
however, whenev... | {
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https://api.github.com/repos/huggingface/transformers/issues/9918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9918/comments | https://api.github.com/repos/huggingface/transformers/issues/9918/events | https://github.com/huggingface/transformers/issues/9918 | 797,881,556 | MDU6SXNzdWU3OTc4ODE1NTY= | 9,918 | [doc] transformers.PreTrainedTokenizer.encode() doesn't get resolved to its doc | {
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"You're right, but changing the class won't help us as `PreTrainedTokenizerBase` is not documented either. A quick fix would be to just add the `encode` method to the doc in `PreTrainedTokenizer` so that the reference gets resolved.\r\n\r\n> Also it seems that all modules have this\r\n> What are input IDs? <../glos... | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | There are a few
> See: transformers.PreTrainedTokenizer.encode()
in the docstrings, but they don't resolve to anything in the online docs, since the `encode` method is in `PreTrainedTokenizerBase`
as it can be seen: https://huggingface.co/transformers/internal/tokenization_utils.html#transformers.tokenization_u... | {
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https://api.github.com/repos/huggingface/transformers/issues/9917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9917/comments | https://api.github.com/repos/huggingface/transformers/issues/9917/events | https://github.com/huggingface/transformers/pull/9917 | 797,824,342 | MDExOlB1bGxSZXF1ZXN0NTY0NzM4NDY0 | 9,917 | distilbert: fix creation of sinusoidal embeddings | {
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similar issue as reported by @stas00 with BART, see #8226.
The creation of sinusoidal embeddings is currently not working on PyTorch 1.8+.
It fails with:
```bash
File "/mnt/europeana-bert/flair/flair/embeddings/token.py", line 820, in __init__
self.model = AutoModel.from_pretrained(model, config... | {
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https://api.github.com/repos/huggingface/transformers/issues/9916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9916/comments | https://api.github.com/repos/huggingface/transformers/issues/9916/events | https://github.com/huggingface/transformers/issues/9916 | 797,805,601 | MDU6SXNzdWU3OTc4MDU2MDE= | 9,916 | RAG + DPR model performance issues | {
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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."
] | 1,612 | 1,614 | 1,614 | NONE | null | Hi.
I am trying to reproduce the results obtained in the Retriever Augmented Generation paper for Question Answering on the Natural Questions (NQ) Dataset (Exact Match accuracy 44%).
However, I am not able to reproduce them.
Can someone kindly let me know which DPR model, DPR dataset and RAG dataset was used to ob... | {
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https://api.github.com/repos/huggingface/transformers/issues/9915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9915/comments | https://api.github.com/repos/huggingface/transformers/issues/9915/events | https://github.com/huggingface/transformers/issues/9915 | 797,728,536 | MDU6SXNzdWU3OTc3Mjg1MzY= | 9,915 | prediction_step() is not using compute_loss() | {
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"Mmmm probably. This is a bit tricky to make sure it doesn't break anything but makes more sense. I'll try to look at this on Monday.",
"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 b... | 1,612 | 1,614 | 1,614 | NONE | null | Hi @sgugger , I think there is an issue with `prediction_step` in `trainer.py`. The problem arises when implementing a custom loss function that requires reshaping input labels. In `training_step`, for loss calculation, it calls `compute_loss()` which is totally fine but in the `prediction_step` it calculates loss with... | {
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https://api.github.com/repos/huggingface/transformers/issues/9914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9914/comments | https://api.github.com/repos/huggingface/transformers/issues/9914/events | https://github.com/huggingface/transformers/issues/9914 | 797,691,171 | MDU6SXNzdWU3OTc2OTExNzE= | 9,914 | AttributeError: 'torch.Size' object has no attribute 'as_list' | {
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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 have the same question.",
"Hello! You're using TensorFlow models (see the `TF` prefix)... | 1,612 | 1,663 | 1,614 | NONE | null | Hello,
I ran the follownig official example script from [longformerforquestionanswering](https://huggingface.co/transformers/model_doc/longformer.html#longformerforquestionanswering)
```
# Tokenizer
tokenizer = LongformerTokenizer.from_pretrained('allenai/longformer-large-4096-finetuned-triviaqa')
# Model
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9913/comments | https://api.github.com/repos/huggingface/transformers/issues/9913/events | https://github.com/huggingface/transformers/issues/9913 | 797,662,260 | MDU6SXNzdWU3OTc2NjIyNjA= | 9,913 | Gradient accumulation and distributed parallelism will reduce the effect? | {
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"The following is part of the reference code after my deletion:\r\n\r\n```\r\ndef get_binary_data(args, macro, tokenizer, read_data=False):\r\n if macro.local_rank not in [-1, 0]:\r\n torch.distributed.barrier()\r\n\r\n train_file = [\"a.txt\", \"b.txt\", \"c.txt\"]\r\n valid_file = [\"a_valid.txt\"... | 1,612 | 1,614 | 1,614 | NONE | null | Reference the code: "transformers/examples/legacy/question-answering/run_squad.py"
I found：
1. normal results without using distributed code, using only gradient accumulation.
2. using the distributed code with the parameter gradient_accumulation_steps=1, the effect is normal.
3. using the distributed code with the... | {
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https://api.github.com/repos/huggingface/transformers/issues/9912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9912/comments | https://api.github.com/repos/huggingface/transformers/issues/9912/events | https://github.com/huggingface/transformers/issues/9912 | 797,646,851 | MDU6SXNzdWU3OTc2NDY4NTE= | 9,912 | How to add more fields in TrainingArguments | {
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"You could subclass the `TrainingArguments` class and add more fields to it. You could refer to `https://github.com/huggingface/transformers/blob/master/src/transformers/training_args_seq2seq.py` for an example https://github.com/huggingface/transformers/blob/master/src/transformers/training_args_seq2seq.py",
"Th... | 1,612 | 1,614 | 1,614 | NONE | null | I am using ```from transformers import TrainingArguments```. However, there are more training arguments in my own project. How can I add more fields (parameters) in to the ```args```? Besides, if I have some other ```Arguments Class``` that is similar to ```TrainingArguments```, how to merge them into one ```args```? | {
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https://api.github.com/repos/huggingface/transformers/issues/9911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9911/comments | https://api.github.com/repos/huggingface/transformers/issues/9911/events | https://github.com/huggingface/transformers/pull/9911 | 797,613,181 | MDExOlB1bGxSZXF1ZXN0NTY0NTc4NzU1 | 9,911 | [seq2seq] fix logger format for non-main process | {
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"@LysandreJik knows better for the centralized logging system so I'll defer to him."
] | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | Currently, in `finetune_trainer.py` non-main process doesn't have any formatting at all, so we end up with:
```
[WARNING|modeling_t5.py:1645] 2021-01-30 20:01:37,246 >> [p0] got MPU
[WARNING|modeling_t5.py:1646] 2021-01-30 20:01:37,246 >> [p0] DP group [0]
[p1] got MPU
[p1] DP group [1]
```
as you can see th... | {
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https://api.github.com/repos/huggingface/transformers/issues/9910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9910/comments | https://api.github.com/repos/huggingface/transformers/issues/9910/events | https://github.com/huggingface/transformers/pull/9910 | 797,562,700 | MDExOlB1bGxSZXF1ZXN0NTY0NTM3OTA1 | 9,910 | Doc title in the template | {
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After reviewing a few PRs post-template, I'm noticing the doc pages are always misnamed -> they should use the cased name of the model, not the uppercase version. | {
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https://api.github.com/repos/huggingface/transformers/issues/9909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9909/comments | https://api.github.com/repos/huggingface/transformers/issues/9909/events | https://github.com/huggingface/transformers/issues/9909 | 797,553,548 | MDU6SXNzdWU3OTc1NTM1NDg= | 9,909 | run_seq2seq.py : Why we pad labels with -100? | {
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"Please use the [forums](https://discuss.huggingface.co/) for questions like this. We keep issues for bugs or feature requests only."
] | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | As mentioned in [this line](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/run_seq2seq.py#L437), why we add -100. Can't we just keep pad_token_id ? | {
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https://api.github.com/repos/huggingface/transformers/issues/9908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9908/comments | https://api.github.com/repos/huggingface/transformers/issues/9908/events | https://github.com/huggingface/transformers/issues/9908 | 797,540,297 | MDU6SXNzdWU3OTc1NDAyOTc= | 9,908 | [seq2seq] some logging for all processes in distributed mode | {
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"I'm definitely not an expert on logging so I'll leave it to @LysandreJik and @sgugger here. The idea of adding new `multi-process` logging functionality sounds very reasonable to me though!",
"I would advocate for using the `logger.warning` in cases where you want to display something from all processes. While i... | 1,612 | 1,618 | null | CONTRIBUTOR | null | In 2D Parallelism, e.g. Pipeline + DeepSpeed I need to log unique device maps per process for the user to see, but currently `logger.info()` is only activated for the main process via `if is_main_process`. Currently only in `examples/seq2seq/run_seq2seq.py`, `examples/seq2seq/finetune_trainer.py`, but it'll be needed f... | {
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https://api.github.com/repos/huggingface/transformers/issues/9907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9907/comments | https://api.github.com/repos/huggingface/transformers/issues/9907/events | https://github.com/huggingface/transformers/pull/9907 | 797,517,412 | MDExOlB1bGxSZXF1ZXN0NTY0NTAwODk1 | 9,907 | Remove subclass for sortish sampler | {
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When putting the sortish sampler in the main `Trainer`, I forgot to remove the overide in `Seq2SeqTrainer` which led to an issue (see #9900). This in turn makes the old `finetune_trainer` script fail because its datasets don't have the right entries (the texts are processed during the data co... | {
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https://api.github.com/repos/huggingface/transformers/issues/9906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9906/comments | https://api.github.com/repos/huggingface/transformers/issues/9906/events | https://github.com/huggingface/transformers/issues/9906 | 797,443,618 | MDU6SXNzdWU3OTc0NDM2MTg= | 9,906 | Error "Expected input batch_size (16) to match target batch_size (1440)" in the WNUT NER example | {
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"I'm guessing you're running the trainer code block from the sequence classification example verbatim. You want `DistilBertForTokenClassification` not `DistilBertForSequenceClassification`, so comment out:\r\n\r\n> model = DistilBertForSequenceClassification.from_pretrained(\"distilbert-base-uncased\") ",
"> I'm... | 1,612 | 1,617 | 1,612 | 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?): 2.4.1 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9905/comments | https://api.github.com/repos/huggingface/transformers/issues/9905/events | https://github.com/huggingface/transformers/issues/9905 | 797,432,640 | MDU6SXNzdWU3OTc0MzI2NDA= | 9,905 | exe executable file | {
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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."
] | 1,612 | 1,614 | 1,614 | NONE | null | I want to use pyinstaller to convert my test.py into an exe executable file, but unfortunately, I failed. I checked the reason, it may be that the transformer library did not successfully convert. Could it be that my method is wrong? The command I used is pyinstaller -D test.py, however, there are no transformers in th... | {
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https://api.github.com/repos/huggingface/transformers/issues/9904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9904/comments | https://api.github.com/repos/huggingface/transformers/issues/9904/events | https://github.com/huggingface/transformers/issues/9904 | 797,408,932 | MDU6SXNzdWU3OTc0MDg5MzI= | 9,904 | Tokenizer return offsets | {
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"All fast tokenizers have this feature, just pass along `return_offsets_mapping=True` in your call to the tokenizer. Also note that fast tokenizers are used by default when `AutoTokenizer` is called.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this sti... | 1,612 | 1,619 | 1,619 | NONE | null | # 🚀 Feature request
Request for the feature raised in [Issue #1263](https://github.com/huggingface/transformers/issues/1263).
Previous PRs have attempted to address this but none of them were merged - https://github.com/huggingface/transformers/pull/1274 and https://github.com/huggingface/transformers/pull/2178.... | {
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https://api.github.com/repos/huggingface/transformers/issues/9903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9903/comments | https://api.github.com/repos/huggingface/transformers/issues/9903/events | https://github.com/huggingface/transformers/pull/9903 | 797,392,530 | MDExOlB1bGxSZXF1ZXN0NTY0NDAyOTk3 | 9,903 | Clarify definition of seed argument in TrainingArguments | {
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"> Thanks for flagging the doc was incorrect! You changes are not entirely correct either so I made some suggestions.\r\n\r\nThanks for fixing my tweaks - I like the changes so committed them 😃 ",
"Sorry for missing that last suggestion of yours - should be ready to go now!",
"Yes, thanks a lot!"
] | 1,612 | 1,612 | 1,612 | MEMBER | null | # What does this PR do?
<!--
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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.
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https://api.github.com/repos/huggingface/transformers/issues/9902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9902/comments | https://api.github.com/repos/huggingface/transformers/issues/9902/events | https://github.com/huggingface/transformers/issues/9902 | 797,385,698 | MDU6SXNzdWU3OTczODU2OTg= | 9,902 | PPLM example - AttributeError issue | {
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"Hi! Could you install an earlier version of `transformers` to see if it works? I believe it was tested with `transformers==3.0.1`",
"It works fine up to and including version v4.2.2 but is broken in versions above that",
"This issue has been automatically marked as stale because it has not had recent activity.... | 1,612 | 1,619 | 1,619 | NONE | null | Hi all,
Thank you for great library.
Now I try to understand PPLM model (see reference https://eng.uber.com/pplm/ ), and when I try to start example from HuggingFace repository https://github.com/huggingface/transformers/tree/master/examples/research_projects/pplm (run_pplm.py) - I faced with the next issue:
```... | {
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https://api.github.com/repos/huggingface/transformers/issues/9901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9901/comments | https://api.github.com/repos/huggingface/transformers/issues/9901/events | https://github.com/huggingface/transformers/issues/9901 | 797,370,567 | MDU6SXNzdWU3OTczNzA1Njc= | 9,901 | Missing model license information | {
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"Pinging @julien-c ",
"> I wanted to check if your conditions set a default license under which models are uploaded when not specified?\r\n\r\nNo, that's really the model author's call. But we will try to make it easier/more straightforward for a user to pick one in the future.\r\n\r\n> In order to have a missing... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | Hello,
A significant number of models uploaded to the model hub do not contain any license information. I wanted to check if your conditions set a default license under which models are uploaded when not specified?
In order to have a missing license added when it is missing, could you please advise on the standar... | {
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https://api.github.com/repos/huggingface/transformers/issues/9900 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9900/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9900/comments | https://api.github.com/repos/huggingface/transformers/issues/9900/events | https://github.com/huggingface/transformers/issues/9900 | 797,351,020 | MDU6SXNzdWU3OTczNTEwMjA= | 9,900 | run_seq2seq.py doesn't work after enabling sortish sampler | {
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[Exact line](https://github.com/huggingface/transformers/blob/master/src/transformers/trainer... | {
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https://api.github.com/repos/huggingface/transformers/issues/9899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9899/comments | https://api.github.com/repos/huggingface/transformers/issues/9899/events | https://github.com/huggingface/transformers/issues/9899 | 797,330,729 | MDU6SXNzdWU3OTczMzA3Mjk= | 9,899 | Does Sortish Sampler work with multiple GPUs in seq2seq? | {
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"Currently `SortishSampler` will only work with the `finetune_trainer.py` scripts. It will be supported in `run_seq2seq.py` in the soon. And to answer your question, yes it works with multiple GPUs, and you won't need to enable distributer parameter if the training is launched on multi GPUs using `torch.distributed... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | I am referring to the training script of run_seq2seq.py. I am exactly referring to [this line in seq2seq_trainer.py](https://github.com/huggingface/transformers/blob/1420b5ff675ccdc3296c6776b339a08a22d2e941/src/transformers/trainer_seq2seq.py#L48). So when should I enable **distributed** parameters and how should I d... | {
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https://api.github.com/repos/huggingface/transformers/issues/9898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9898/comments | https://api.github.com/repos/huggingface/transformers/issues/9898/events | https://github.com/huggingface/transformers/pull/9898 | 797,327,228 | MDExOlB1bGxSZXF1ZXN0NTY0MzU0MDg1 | 9,898 | [doc] nested markup is invalid in rst | {
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So currently this line doesn't get rendered properly, leaving inner markdown unrendered, resulting in:
```
You can create a model repo directly from `the /new page on the website <https://huggingfa... | {
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https://api.github.com/repos/huggingface/transformers/issues/9897 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9897/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9897/comments | https://api.github.com/repos/huggingface/transformers/issues/9897/events | https://github.com/huggingface/transformers/pull/9897 | 797,313,095 | MDExOlB1bGxSZXF1ZXN0NTY0MzQzMTU3 | 9,897 | [t5 tokenizer] add info logs | {
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"I don't think this is something that should be done in `save_vocabulary`. You have the option in `save_pretrained` to set `legacy_format` to `False` to generate that `tokenizer.json` file. I'm not an expert in the tokenization side with all the stuff that was added for backward compatibility so I don't know if the... | 1,611 | 1,613 | 1,613 | CONTRIBUTOR | null | This PR (was modified from the original):
- adds info logs that correlated to saved tokenizer files on `tokenizer.save_pretrained()`
--------------------------
original PR note
This PR
- adds code to save t5 fast tokenizer `tokenizer.json` file on `tokenizer.save_pretrained()`
- adds info logs that correlate... | {
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https://api.github.com/repos/huggingface/transformers/issues/9896 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9896/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9896/comments | https://api.github.com/repos/huggingface/transformers/issues/9896/events | https://github.com/huggingface/transformers/pull/9896 | 797,310,874 | MDExOlB1bGxSZXF1ZXN0NTY0MzQxMzYx | 9,896 | [wandb] restore WANDB_DISABLED=true to disable wandb | {
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"If I understood correctly the user's issue, the problem was that any value was accepted. We can add \"True\" in `ENV_VAR_TRUE_VALUES` which seems to be missing, but if I set `WAND_DISABLED=False` for instance, I would expect wandb to not be disabled.\r\n\r\nIn any case those env variables are now deprecated (have ... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | This PR
* extends `ENV_VARS_TRUE_VALUES` with "true"
* restores `WANDB_DISABLED=true` to disable wandb
* documents this exact setting
* syncs trainer_tf with the same solution.
Context: we are still dealing with https://github.com/huggingface/transformers/issues/9623 where wandb fails no matter if you have it i... | {
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"Solved it by installing tensorflow-gpu=2.3.0 & cuda 10.1\r\n\r\nFollowing this guide:\r\nhttps://medium.com/analytics-vidhya/tensorflow-2-3-0-with-gpu-support-on-windows-10-f975a552ea7c\r\n\r\nUse this command to install gpu2.3.0\r\npython -m pip install https://storage.googleapis.com/tensorflow/windows/gpu/tensor... | 1,611 | 1,612 | 1,612 | NONE | null | I have been playing around with tensorflow (CPU), and some language model'ing - and it have been a blast so far - everything working great.
But after watching my old CPU slowly getting killed from all the model-training - i decided it was time to finally get some use out of my RTX 2080. I have been following the gu... | {
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https://api.github.com/repos/huggingface/transformers/issues/9894 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9894/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9894/comments | https://api.github.com/repos/huggingface/transformers/issues/9894/events | https://github.com/huggingface/transformers/issues/9894 | 797,275,429 | MDU6SXNzdWU3OTcyNzU0Mjk= | 9,894 | ImportError: cannot import name 'PreTrainedEncoderDecoder' from 'transformers' (unknown location) | {
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"I'm not sure where you have seen those objects: they are nowhere in the transformers library. The library provides `EncoderDecoderModel`, see the [encoder/decoder doc page](https://huggingface.co/transformers/model_doc/encoderdecoder.html).",
"Hi, I was reading this (https://medium.com/huggingface/encoder-deco... | 1,611 | 1,612 | 1,612 | NONE | null | Hi,
I am using the library to pretrain my model of choice. I am now interested in setting up an encoder-decoder architecture with my pretrained models, and the "combiners" seems quite a straightforward way to do that.
Unfortunately, I am getting an import error on both "PreTrainedEncoderDecoder" and "Model2Model"
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9893 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9893/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9893/comments | https://api.github.com/repos/huggingface/transformers/issues/9893/events | https://github.com/huggingface/transformers/issues/9893 | 797,203,374 | MDU6SXNzdWU3OTcyMDMzNzQ= | 9,893 | rfc: new benchmark tool | {
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"I was thinking about one feature if possible,\r\n\r\nHow about when we run an example script a benchmarking script is automatically run and store the results in one file if the user passes an optional argument.\r\n\r\nWhen the user uploads the model on the model hub we can directly sort the model based on benchmar... | 1,611 | 1,623 | null | CONTRIBUTOR | null | This issue is to collect notes and ideas on creating a new benchmarking tool.
This is not about the other speed/memory regression project we have been discussing elsewhere.
This is about integration and various comparisons that we need to run in order to give users the best advice on how to deploy transformers i... | {
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"Hi @ari9dam \r\nPlease use the [forum](https://discuss.huggingface.co/) for such questions, and there's a discussion about this in the post \r\nhttps://discuss.huggingface.co/t/t5-finetuning-tips/684"
] | 1,611 | 1,613 | 1,613 | NONE | null | In the paper, I see the the prefix for summarization is "TL;DR:" . If I look into the model [config.json](https://huggingface.co/t5-base/blob/main/config.json) of T5-Base, I see it is "summarization:".
"task_specific_params": {
"summarization": {
"early_stopping": true,
"length_penalty": 2.0,
... | {
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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 | NONE | null | Is there a way I can remove a token from vocab.json? | {
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https://api.github.com/repos/huggingface/transformers/issues/9890 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9890/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9890/comments | https://api.github.com/repos/huggingface/transformers/issues/9890/events | https://github.com/huggingface/transformers/pull/9890 | 797,021,708 | MDExOlB1bGxSZXF1ZXN0NTY0MDk5OTM0 | 9,890 | Restore TF embeddings and attention layers to their previous version | {
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"Pinging @mfuntowicz ",
"> Morgan was mentioning that the transpose_for_score method was called right after the Q/K/V projection, but that there was no need to split this dimension if we're not doing head masking.\r\nWhat do you think? Maybe that's some work for another PR, though.\r\n\r\nI think it seems doable ... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | # What does this PR do?
This PR restores the attention layers and the embeddings as it was in v4.1, even though the embeddings got few improvements compared to their original version to keep XLA compliancy. The reason is because we realized that some used operators were not compatible with some NN SDKs such as the o... | {
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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.
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"Just did, thanks a lot @LysandreJik, the form is super quick to fill-in and interesting!\r\nEveryone, we're waiting for you",
"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... | 1,611 | 1,619 | 1,619 | MEMBER | null | Thanks to all of you, Transformers just passed 40k :star2: this week!
Our libraries have always been about the community and we need your input to define the direction of the next 40k stars.
If you have a couple of minutes and want to participate in shaping the future of the library, please share your thoughts: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9887 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9887/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9887/comments | https://api.github.com/repos/huggingface/transformers/issues/9887/events | https://github.com/huggingface/transformers/pull/9887 | 796,783,152 | MDExOlB1bGxSZXF1ZXN0NTYzOTA0MjE5 | 9,887 | Fit chinese wwm to new datasets | {
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"@sgugger @LysandreJik \r\nCould you help me review these code ?",
"> Hi there! Thanks for updating your example. We have now created a `research_projects` project for the examples not directly maintained by the core team, and I think the `run_mlm_wwm` script and the chine_ref file could all go there in a new fo... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | Sorry for my later update.
I make my code(especially in chinese mlm_wwm) fit the newest code.
Here are the changes:
1. add `chinese_ref` key to avoid miss ref inf.
2. fix the type bug in `data_collator.py`
3. re-add `run_chinese_ref.py` cause it could run with the newest version code (4.2.2).
4. update readme | {
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https://api.github.com/repos/huggingface/transformers/issues/9886 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9886/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9886/comments | https://api.github.com/repos/huggingface/transformers/issues/9886/events | https://github.com/huggingface/transformers/issues/9886 | 796,774,815 | MDU6SXNzdWU3OTY3NzQ4MTU= | 9,886 | Conversion of BPE tokenizer for Marian models | {
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"cc'ing @n1t0 on this in case he didn't see it",
"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/hu... | 1,611 | 1,619 | 1,619 | NONE | null | Hello,
I was searching for the pt-en model of Marian and noticed that it has not been converted for the huggingface library apparently because it uses a BPE tokenizer. Is it possible to convert BPE-based models to be used in huggingface somehow?
Thank you | {
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https://api.github.com/repos/huggingface/transformers/issues/9885 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9885/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9885/comments | https://api.github.com/repos/huggingface/transformers/issues/9885/events | https://github.com/huggingface/transformers/issues/9885 | 796,713,099 | MDU6SXNzdWU3OTY3MTMwOTk= | 9,885 | Finetune_Trainer Question | {
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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? You'll get more help there.\r\n\r\nThe docs regarding the maintained trainer are available [here](https://github.com/huggingface/tr... | 1,611 | 1,611 | 1,611 | NONE | null | Hi, I'm new to HuggingFace. I want to fine-tune a BARTForConditionalGeneration model by finetunr_trainer.py for the translation task on google colab, but I didn't figure out how to use the script to fine-tune the model. Could anyone help me to show a quick example? Thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/9884 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9884/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9884/comments | https://api.github.com/repos/huggingface/transformers/issues/9884/events | https://github.com/huggingface/transformers/issues/9884 | 796,683,286 | MDU6SXNzdWU3OTY2ODMyODY= | 9,884 | Exporting model to onnx increases the model size | {
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"I wouldn't be surprised that ONNX serializes each of the layers as independant layers when they're all repeated. I don't know enough about the ONNX export to know it that's the issue or what to do to fix it though.\r\n\r\nDo you get similar increases in size with other models? With BERT for example?",
"Hi @Lysan... | 1,611 | 1,613 | 1,613 | NONE | null | Hi, I'm trying to convert some models as mentioned below to onnx as follows:
ktrapeznikov/albert-xlarge-v2-squad-v2
albert-xlarge-v1
albert-xlarge-v2
The common issue with exporting all these models is that I get an exception that the protobuf size increases to more than 2gb while all these are less than 800mb. W... | {
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https://api.github.com/repos/huggingface/transformers/issues/9883 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9883/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9883/comments | https://api.github.com/repos/huggingface/transformers/issues/9883/events | https://github.com/huggingface/transformers/issues/9883 | 796,614,180 | MDU6SXNzdWU3OTY2MTQxODA= | 9,883 | examples/seq2seq , where can I find the definition for the sortish_sampler argument? | {
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"I am trying to understand the use of sortish sampler. Right now it is not used in the run_seq2seq.py script. ",
"I found it. It is in the t**rainer_seq2seq.p**y script."
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/9882 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9882/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9882/comments | https://api.github.com/repos/huggingface/transformers/issues/9882/events | https://github.com/huggingface/transformers/issues/9882 | 796,538,683 | MDU6SXNzdWU3OTY1Mzg2ODM= | 9,882 | Some weights of {} were not initialized from the model checkpoint | {
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"Hi! Thanks for opening an issue. I see two issues with your setup here:\r\n- Why are you using `from_pretrained` to load the `RobertaModel` inside your pre-trained model? You should just initialize a `RobertaModel` from the configuration imo.\r\n- Instead of `PreTrainedModel`, I would instead use `RobertaPreTraine... | 1,611 | 1,677 | 1,612 | CONTRIBUTOR | null | I keep failing to load model checkpoint.
I built a model inheriting PreTrainedModel and have roberta inside initialization.
Training this model with trainer works fine, but when I try to load the checkpoint using ```from_pretrained```, it keeps failing to load the checkpoint. Can someone help me out? Thanks
St... | {
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https://api.github.com/repos/huggingface/transformers/issues/9881 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9881/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9881/comments | https://api.github.com/repos/huggingface/transformers/issues/9881/events | https://github.com/huggingface/transformers/issues/9881 | 796,525,169 | MDU6SXNzdWU3OTY1MjUxNjk= | 9,881 | DeBERTa pretraining using MLM: model gradients become NAN | {
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"hi @mansimane \r\n\r\nIn your code in `TrainingArguments`, `adam_epsilon` is set to `1e06`, which quite a large value, I believe it's a typo, should be 1e-6 as mentioned in the comment. This could be the reason for `nan` gradients. ",
"Thanks @patil-suraj for the catch. I fixed the Adam epsilon, but still so... | 1,611 | 1,672 | 1,612 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.3.0.dev0
- Platform: Ubuntu
- Python version: 3.6.12
- PyTorch version : 1.7.1
- Using GPU in script?: Y
- Using distributed or parallel set-up in script?: Y, using 8 GPU machine.
### Who can help
@BigBird01 @NielsRogge
Models:
DeBERTa Base
## Informati... | {
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https://api.github.com/repos/huggingface/transformers/issues/9880 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9880/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9880/comments | https://api.github.com/repos/huggingface/transformers/issues/9880/events | https://github.com/huggingface/transformers/pull/9880 | 796,485,945 | MDExOlB1bGxSZXF1ZXN0NTYzNjU5NTU5 | 9,880 | [trainer] [deepspeed] refactor deepspeed setup devices | {
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https://api.github.com/repos/huggingface/transformers/issues/9879 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9879/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9879/comments | https://api.github.com/repos/huggingface/transformers/issues/9879/events | https://github.com/huggingface/transformers/pull/9879 | 796,469,627 | MDExOlB1bGxSZXF1ZXN0NTYzNjQ2MzEx | 9,879 | [seq2seq] correctly handle mt5 | {
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"> when you port this to the new run_seq2seq, it would be great to try to find a way to make this not use any special code for a given model\r\n\r\nI'm working on it in #9844, it's not finished though. We might need to add `get_input_embeddings` and `get_pos_embeddings` methods to every s2s model, to avoid special... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | This PR fixes `seq2seq/utils.py` to handle `mt5` like it does `t5`.
Ideally there should be a test, which would require creating a tiny model for mt5, but I'm being told this code is going away anyway, so there is no point investing energy into it.
Fixes: https://github.com/huggingface/transformers/issues/9865
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https://api.github.com/repos/huggingface/transformers/issues/9878 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9878/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9878/comments | https://api.github.com/repos/huggingface/transformers/issues/9878/events | https://github.com/huggingface/transformers/issues/9878 | 796,413,418 | MDU6SXNzdWU3OTY0MTM0MTg= | 9,878 | [DOCS] curl links go to 404 not found in NER tutorial | {
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"the doc link you shared if for V2.2.0, we have updated all the examples in a recent version. You can find the new ner examples here https://github.com/huggingface/transformers/tree/master/examples/token-classification",
"Thank you @patil-suraj "
] | 1,611 | 1,611 | 1,611 | NONE | null | Hey, in [NER tutorial](https://huggingface.co/transformers/v2.2.0/examples.html#named-entity-recognition) the curl commands seem outdated
```
curl -L 'https://sites.google.com/site/germeval2014ner/data/NER-de-train.tsv?attredirects=0&d=1' \
| grep -v "^#" | cut -f 2,3 | tr '\t' ' ' > train.txt.tmp
curl -L 'https:... | {
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https://api.github.com/repos/huggingface/transformers/issues/9877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9877/comments | https://api.github.com/repos/huggingface/transformers/issues/9877/events | https://github.com/huggingface/transformers/pull/9877 | 796,403,840 | MDExOlB1bGxSZXF1ZXN0NTYzNTkxMzk0 | 9,877 | Fix head masking for TFT5 models | {
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"@stancld can you please rebase on master in order to solve the conflicts?",
"Thanks! The PR should be merged once @LysandreJik and @patrickvonplaten will have reviewed it.",
"Thanks for fixing it!"
] | 1,611 | 1,613 | 1,613 | CONTRIBUTOR | null | * This PR fixes head masking in TFT5 models (#9859)
* This PR further fixes the name of an error message variable from `__HEAD_MASK_WARNING_MSG` to `_HEAD_MASK_WARNING_MSG` as the former one was not working properly and raised error (double underscore made troubles)
<hr>
Fixes: #9859
Reviewers: @jplu | {
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https://api.github.com/repos/huggingface/transformers/issues/9876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9876/comments | https://api.github.com/repos/huggingface/transformers/issues/9876/events | https://github.com/huggingface/transformers/pull/9876 | 796,377,159 | MDExOlB1bGxSZXF1ZXN0NTYzNTY4MjM3 | 9,876 | When on sagemaker use their env variables for saves | {
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When on SageMaker, the content of the env variable "SM_OUTPUT_DATA_DIR" should be used to save training artifacts (such as our checkpoint) so make it overwrite the `output_dir` (and make that argument optional so it doesn't need to be passed for sagemaker training).
Then the final model will... | {
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Currently, the docstrings for slow tokenizers' `tokenize()` method claim that unknown tokens will be left in place, in contrast to the fast tokenizers' behavior. In reality, both convert unknown tokens to `unk_token`.
Fixes #9714
## Before submitting
- [x] This PR fixes a typo or i... | {
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https://api.github.com/repos/huggingface/transformers/issues/9874 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9874/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9874/comments | https://api.github.com/repos/huggingface/transformers/issues/9874/events | https://github.com/huggingface/transformers/pull/9874 | 796,248,404 | MDExOlB1bGxSZXF1ZXN0NTYzNDU3NTM1 | 9,874 | pin_memory -> dataloader_pin_memory | {
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"Updated with review comments. Please let me know if/when it's okay to merge :) ",
"Good for me, thanks a lot!",
"this is much better, thank you for the adjustment, @abhishekkrthakur "
] | 1,611 | 1,611 | 1,611 | MEMBER | null | Ref: https://github.com/huggingface/transformers/pull/9857#issuecomment-769256215
This PR adds a new argument `dataloader_pin_memory` to `TrainingArguments`. You can use this to pin memory in `DataLoader`. | {
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https://api.github.com/repos/huggingface/transformers/issues/9873 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9873/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9873/comments | https://api.github.com/repos/huggingface/transformers/issues/9873/events | https://github.com/huggingface/transformers/issues/9873 | 796,188,222 | MDU6SXNzdWU3OTYxODgyMjI= | 9,873 | Strange hyperparameter warning | {
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"Hey @alexvaca0 thanks for bringing this up. Indeed our example is outdated. I updated it here https://github.com/amogkam/ray/blob/hf-pbt/python/ray/tune/examples/pbt_transformers/pbt_transformers.py and when running on the latest Ray wheels and the latest transformer release (4.2.2), I am seeing perturbations happ... | 1,611 | 1,626 | 1,611 | NONE | null | ## Environment info
- `transformers` version: Master Branch
- Platform: Ubuntu 18.04
- Python version: 3.7
- PyTorch version (GPU?): 1.7 (YES)
- Tensorflow version (GPU?):
- Using GPU in script?: YES
- Using distributed or parallel set-up in script?: NO
### Who can help
@amogkam
## Information
Model... | {
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https://api.github.com/repos/huggingface/transformers/issues/9871 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9871/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9871/comments | https://api.github.com/repos/huggingface/transformers/issues/9871/events | https://github.com/huggingface/transformers/issues/9871 | 796,003,221 | MDU6SXNzdWU3OTYwMDMyMjE= | 9,871 | Exception: You're trying to run a `Unigram` model but you're file was trained with a different algorithm | {
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"Use \"AlbertTokenizer\" rather than \"AutoTokenizer\", this should solve your issue.\r\nPlease, check the updated notebook version.",
"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 n... | 1,611 | 1,641 | 1,619 | 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-3.10.107-1-tlinux2_kvm_guest-0049-x86_64-with-glibc2.10
- Python version: 3.8.5
- Py... | {
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https://api.github.com/repos/huggingface/transformers/issues/9870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9870/comments | https://api.github.com/repos/huggingface/transformers/issues/9870/events | https://github.com/huggingface/transformers/issues/9870 | 795,993,762 | MDU6SXNzdWU3OTU5OTM3NjI= | 9,870 | IndexError when finetuning barthez on summarization | {
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"Hmmmm the -100 id should be linked to the ignored values. It shouldn't try to decode this. Pinging @sgugger ",
"Not sure why there would be `-100` in the labels with the old script. Note that we are not maintaining that one anymore and will replace it with `run_seq2seq` which is almost ready for use (misses a fe... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.3.0.dev0
- Platform: Linux-4.4.0-197-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9869 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9869/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9869/comments | https://api.github.com/repos/huggingface/transformers/issues/9869/events | https://github.com/huggingface/transformers/pull/9869 | 795,902,907 | MDExOlB1bGxSZXF1ZXN0NTYzMTcxOTcx | 9,869 | Added do_lower_case parameters for tokenizer in mlm training. | {
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"Hi there, thanks for your PR!\r\nThe examples scripts are kept simple and without too much functionality so users can easily understand and tweak them for their needs (they are just examples, they do not mean to cover **everything**). As you saw, it's super easy to add things like this option, if needed. The PR wi... | 1,611 | 1,611 | 1,611 | NONE | null | Added do_lower_case while training mlm. Useful for training cased BER, for instance. | {
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https://api.github.com/repos/huggingface/transformers/issues/9868 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9868/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9868/comments | https://api.github.com/repos/huggingface/transformers/issues/9868/events | https://github.com/huggingface/transformers/pull/9868 | 795,807,978 | MDExOlB1bGxSZXF1ZXN0NTYzMDk0Njcw | 9,868 | Remove submodule | {
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https://api.github.com/repos/huggingface/transformers/issues/9867 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9867/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9867/comments | https://api.github.com/repos/huggingface/transformers/issues/9867/events | https://github.com/huggingface/transformers/issues/9867 | 795,785,534 | MDU6SXNzdWU3OTU3ODU1MzQ= | 9,867 | where is position_embedding_type used | {
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"It is used quite a lot! Here for example:\r\n\r\nhttps://github.com/huggingface/transformers/blob/4c3ae89ad3215c3252ebf8ce964795ba8813d810/src/transformers/models/electra/modeling_electra.py#L194-L196\r\n\r\nActually just Ctrl+F \"position_embedding_type\" in this file and you should be able to find out where it's... | 1,611 | 1,611 | 1,611 | NONE | null | When I was using pytorch Electra Model, I read its source code but I didn't find where position_embedding_type is used.
So did I miss something? | {
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https://api.github.com/repos/huggingface/transformers/issues/9866 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9866/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9866/comments | https://api.github.com/repos/huggingface/transformers/issues/9866/events | https://github.com/huggingface/transformers/issues/9866 | 795,761,153 | MDU6SXNzdWU3OTU3NjExNTM= | 9,866 | Whole word mask in run_mlm_wwm.py | {
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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 | 1,652 | 1,619 | NONE | null | I find that `run_mlm_wwm.py` uses the whole word mask class `DataCollatorForWholeWordMask`.
But in this class `_whole_word_mask` function, we recognize if a token is the beginning of a word by this way:
```
cand_indexes = []
for (i, token) in enumerate(input_tokens):
if token == "[CLS]" or token == "[SEP]":
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9865 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9865/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9865/comments | https://api.github.com/repos/huggingface/transformers/issues/9865/events | https://github.com/huggingface/transformers/issues/9865 | 795,747,456 | MDU6SXNzdWU3OTU3NDc0NTY= | 9,865 | [trainer] seq2seq doesn't handle mt5 correctly | {
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"OK, I can reproduce the problem with just google/mt5-small and 2 gpus:\r\n```\r\nexport BS=1; PYTHONPATH=../../src USE_TF=0 deepspeed --num_gpus=2 ./finetune_trainer.py --model_name_or_path google/mt5-small --output_dir output_dir --adam_eps 1e-06 --data_dir wmt_en_ro --do_eval --do_predict --do_train --evaluation... | 1,611 | 1,647 | 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: Linux-5.4.0-58-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.7
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/9864 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9864/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9864/comments | https://api.github.com/repos/huggingface/transformers/issues/9864/events | https://github.com/huggingface/transformers/issues/9864 | 795,652,112 | MDU6SXNzdWU3OTU2NTIxMTI= | 9,864 | Longformer: raise TypeError("pred must not be a Python bool", pred) | {
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"cc @jplu do you maybe have a good idea here?",
"Hey @xuxingya !! Thanks a lot for reporting the issue! Indeed Longformer has a bug in the `_pad_to_window_size` method. We will work on fixing this ASAP.\r\n\r\nEven though there is indeed a bug, your piece of code is wrong and should be:\r\n```python\r\nfrom trans... | 1,611 | 1,612 | 1,612 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Ubuntu 18.04
- Python version: 3.7.6
- PyTorch version (GPU?): None
- Tensorflow version (GPU?): 2.3.1, 2.3.2 (with or without GPU)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help@patrick-s-h-le... | {
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https://api.github.com/repos/huggingface/transformers/issues/9863 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9863/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9863/comments | https://api.github.com/repos/huggingface/transformers/issues/9863/events | https://github.com/huggingface/transformers/issues/9863 | 795,532,336 | MDU6SXNzdWU3OTU1MzIzMzY= | 9,863 | Add support for tf2 encoder_decoder | {
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"Shall I start working on it if no one else is doing it?",
"Feel free to give it a try and tag me if you encounter any issues along the way! Just to set expectations, such a PR will be a longer project (~1 month) and is a relatively low priority for the library at the moment, so I might not be able to reply daily... | 1,611 | 1,634 | 1,634 | CONTRIBUTOR | null | # 🌟 New model addition
I would like to add `TensorFlow-2` support for `encoder_decoder` model. I will soon create a PR, if this is approved. | {
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https://api.github.com/repos/huggingface/transformers/issues/9862 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9862/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9862/comments | https://api.github.com/repos/huggingface/transformers/issues/9862/events | https://github.com/huggingface/transformers/issues/9862 | 795,486,856 | MDU6SXNzdWU3OTU0ODY4NTY= | 9,862 | AttributeError with T5Tokenizer | {
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"I think the errors could be more explicit here, here I think it comes from the fact that you don't have SentencePiece installed. Can you try to install it and let me know if it fixes your issue?",
"Hi @LysandreJik. I had the same issue, with sentencepiece installed. I also notice that my previous notebooks with ... | 1,611 | 1,619 | 1,619 | NONE | null | I am trying to use **T5Tokenizer** and **t5-base** model to fine-tune on **SQuAD** dataset. But each time, when I run the tokenizer code I get errors (e.g, `'NoneType' object has no attribute 'encode'/'batch_encode_plus'/'encode_plus'`).
Example code
```
tokenizer = T5Tokenizer.from_pretrained('t5-base')
ids_neg ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9861 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9861/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9861/comments | https://api.github.com/repos/huggingface/transformers/issues/9861/events | https://github.com/huggingface/transformers/pull/9861 | 795,457,922 | MDExOlB1bGxSZXF1ZXN0NTYyODAyMjQ0 | 9,861 | Rag modification | {
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"Erm.... misclicked"
] | 1,611 | 1,611 | 1,611 | NONE | null | # What does this PR do?
<!--
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/9860 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9860/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9860/comments | https://api.github.com/repos/huggingface/transformers/issues/9860/events | https://github.com/huggingface/transformers/issues/9860 | 795,456,437 | MDU6SXNzdWU3OTU0NTY0Mzc= | 9,860 | Padding tokens affect MobileBert output | {
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"Following up on this, is there anyone in particular that I should tag to take a look at this issue?",
"Hi @johnmccain, I'll take a look in the coming days.",
"Hi! I ran your example and added an additional relative difference computation: \r\n```py\r\nr_tol = torch.max(torch.abs(out_with_pad - out_without_pad)... | 1,611 | 1,618 | 1,618 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Windows-10-10.0.17134-SP0
- Python version: 3.6.8
- PyTorch version (GPU?): 1.7.1+cu110 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
## Information
Mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/9859 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9859/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9859/comments | https://api.github.com/repos/huggingface/transformers/issues/9859/events | https://github.com/huggingface/transformers/issues/9859 | 795,454,777 | MDU6SXNzdWU3OTU0NTQ3Nzc= | 9,859 | Head masking and test_head_masking not working properly for TFT5 models. | {
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"That's an assert we put in T5 because the head mask is not supported. Happy you take care of this!!!"
] | 1,611 | 1,613 | 1,613 | CONTRIBUTOR | null | When removing `test_head_masking` flags during #9858, I found out `test_headmasking` was actually never run for `TFT5Model` and it seems there must be a bug, please see below:
```
_______________________________________________________________________________________________________ TFT5ModelTest.test_headmasking ___... | {
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https://api.github.com/repos/huggingface/transformers/issues/9858 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9858/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9858/comments | https://api.github.com/repos/huggingface/transformers/issues/9858/events | https://github.com/huggingface/transformers/pull/9858 | 795,450,672 | MDExOlB1bGxSZXF1ZXN0NTYyNzk2MjEy | 9,858 | Remove redundant `test_head_masking = True` flags in test files | {
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Reviewer: @LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/9857 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9857/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9857/comments | https://api.github.com/repos/huggingface/transformers/issues/9857/events | https://github.com/huggingface/transformers/pull/9857 | 795,363,007 | MDExOlB1bGxSZXF1ZXN0NTYyNzIzNTk5 | 9,857 | Pin memory in Trainer by default | {
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"Could we please go through normal PR review approval cycles? Unless I missed something and there was one.\r\n\r\nIt looks like my comment on slack was missed where I suggested to use a more specific cl arg name. \r\n\r\nI proposed one of:\r\n- dataloader_pin_memory\r\n- dl_pin_memory\r\n\r\nBut since we already ha... | 1,611 | 1,611 | 1,611 | MEMBER | null | {
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https://api.github.com/repos/huggingface/transformers/issues/9856 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9856/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9856/comments | https://api.github.com/repos/huggingface/transformers/issues/9856/events | https://github.com/huggingface/transformers/pull/9856 | 795,313,052 | MDExOlB1bGxSZXF1ZXN0NTYyNjgyMzY2 | 9,856 | Add head_mask and decoder_head_mask to PyTorch LED | {
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**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 foll... | {
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https://api.github.com/repos/huggingface/transformers/issues/9855 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9855/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9855/comments | https://api.github.com/repos/huggingface/transformers/issues/9855/events | https://github.com/huggingface/transformers/issues/9855 | 795,242,726 | MDU6SXNzdWU3OTUyNDI3MjY= | 9,855 | About max_length in generation_utils.py | {
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"Hey @LinjianLi,\r\n\r\nnote that `max_length` states the maximum length of both generated tokens and input tokens (which is always at least 1). This means that we count the first special token also as an output token (it will be in the final output) and thus should also be included when computing `max_length`",
... | 1,611 | 1,614 | 1,614 | NONE | null | In `generation_utils.py`, the docstring of the `beam_search` function shows the example of usage.
```
>>> input_ids = torch.ones((num_beams, 1), device=model.device, dtype=torch.long)
>>> input_ids = input_ids * model.config.decoder_start_token_id
>>> something else that I omit here
>>> outputs = model.beam_... | {
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https://api.github.com/repos/huggingface/transformers/issues/9854 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9854/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9854/comments | https://api.github.com/repos/huggingface/transformers/issues/9854/events | https://github.com/huggingface/transformers/pull/9854 | 795,225,626 | MDExOlB1bGxSZXF1ZXN0NTYyNjA5OTAz | 9,854 | Deprecate model_path in Trainer.train | {
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This PR deprecates `Trainer.train(model_path=xxx)` to be replaced by `Trainer.train(resume_from_checkpoint=xxx)` which (I think) is clearer and better. No breaking change, just a deprecation warning for now. | {
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https://api.github.com/repos/huggingface/transformers/issues/9853 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9853/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9853/comments | https://api.github.com/repos/huggingface/transformers/issues/9853/events | https://github.com/huggingface/transformers/pull/9853 | 795,184,411 | MDExOlB1bGxSZXF1ZXN0NTYyNTc1NDQx | 9,853 | Fix computation of attention_probs when head_mask is provided. | {
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"Thanks a lot!"
] | 1,611 | 1,611 | 1,611 | MEMBER | null | Remove dead code path when computing `attention_probs` in case of `head_mask` is provided.
Masking was computed on `attention_scores` which is never used / returned afterwards. | {
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https://api.github.com/repos/huggingface/transformers/issues/9852 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9852/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9852/comments | https://api.github.com/repos/huggingface/transformers/issues/9852/events | https://github.com/huggingface/transformers/pull/9852 | 795,159,805 | MDExOlB1bGxSZXF1ZXN0NTYyNTU0NzMy | 9,852 | Adding a new `return_full_text` parameter to TextGenerationPipeline. | {
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"Don't mind the failing test, you can merge when ready."
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
For text-generation, it's sometimes used as prompting text.
In that context, prefixing `generated_text` with the actual input
forces the caller to take an extra step to remove it.
The proposed change adds a new parameter (for backward compatibility).
`return_full_text` that enables the caller ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9851 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9851/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9851/comments | https://api.github.com/repos/huggingface/transformers/issues/9851/events | https://github.com/huggingface/transformers/pull/9851 | 795,135,405 | MDExOlB1bGxSZXF1ZXN0NTYyNTM0MTc0 | 9,851 | [GA forks] Test on every push | {
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https://api.github.com/repos/huggingface/transformers/issues/9850 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9850/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9850/comments | https://api.github.com/repos/huggingface/transformers/issues/9850/events | https://github.com/huggingface/transformers/issues/9850 | 795,118,067 | MDU6SXNzdWU3OTUxMTgwNjc= | 9,850 | Some model use serve previous version can not do inference in web api. | {
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"The error here seems to be because there's a dissociated tokenizer and model. The tokenizer should be BERT while the model should be ALBERT.\r\n\r\nThe configuration should reflect this by having a `\"tokenizer_class\": \"BertTokenizer\"`.\r\n\r\nPinging @wptoux\r\n\r\nAn example can be seen with PhoBERT having th... | 1,611 | 1,619 | 1,619 | NONE | null | the model serve in
https://huggingface.co/wptoux/albert-chinese-large-qa
can not do inference by click “compute” button.
because it use transformers 3.0.2 but can not
properly load in current version.
I think model online server should consider its implement transformer version. | {
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https://api.github.com/repos/huggingface/transformers/issues/9849 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9849/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9849/comments | https://api.github.com/repos/huggingface/transformers/issues/9849/events | https://github.com/huggingface/transformers/pull/9849 | 795,114,472 | MDExOlB1bGxSZXF1ZXN0NTYyNTE2OTEw | 9,849 | Labeled pull requests | {
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https://api.github.com/repos/huggingface/transformers/issues/9848 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9848/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9848/comments | https://api.github.com/repos/huggingface/transformers/issues/9848/events | https://github.com/huggingface/transformers/pull/9848 | 795,104,682 | MDExOlB1bGxSZXF1ZXN0NTYyNTA4ODA3 | 9,848 | Add XLA test | {
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"Out of curiosity, how long are those tests for the models that have them?",
"few milliseconds, XLA is really fast :)"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
In the same spirit than for the mixed precision test, this PR adds one for XLA compliancy. | {
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https://api.github.com/repos/huggingface/transformers/issues/9847 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9847/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9847/comments | https://api.github.com/repos/huggingface/transformers/issues/9847/events | https://github.com/huggingface/transformers/pull/9847 | 795,100,786 | MDExOlB1bGxSZXF1ZXN0NTYyNTA1NTMw | 9,847 | TFBart lables consider both pad token and -100 | {
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"@patrickvonplaten \r\nI merged upstream to the branch!",
"You have an error in code quality, could you run `make style` and `make quality` to check it out? Thanks."
] | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | For #9770,
1. ```TFBartModels``` use -100 as a masking token for ```decoder_input_ids``` and ```compute_loss``` like other models(```T5```).
2. For legacy, all the ```padding token``` in ```labels``` are replace by ```-100`` token.
Below examples show the same result for ```labels``` with ```-100 token``` or ``... | {
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https://api.github.com/repos/huggingface/transformers/issues/9846 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9846/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9846/comments | https://api.github.com/repos/huggingface/transformers/issues/9846/events | https://github.com/huggingface/transformers/pull/9846 | 795,095,395 | MDExOlB1bGxSZXF1ZXN0NTYyNTAwOTg5 | 9,846 | Adding new parameter to `generate`: `max_time`. | {
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"Continuing a bit the discussion we had offline for others to chime in.\r\n\r\nAfter quite some discussion and thinking, I see the following problem:\r\n\r\n- I don't want to clutter `generate()` with if-statements anymore as it's done a bit in this PR, but rather make use of tools like `LogitsProcessor`. Now @Nars... | 1,611 | 1,615 | 1,615 | CONTRIBUTOR | null | Generation by tokens number is sometimes a bit clunky because we don't
know how many tokens are good enough or even how many tokens are in
the payload (for pipelines users for instance). This leads to hard
to understand behavior.
This PR proposes a new argument `max_time` which is a float of seconds
for the allo... | {
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https://api.github.com/repos/huggingface/transformers/issues/9845 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9845/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9845/comments | https://api.github.com/repos/huggingface/transformers/issues/9845/events | https://github.com/huggingface/transformers/pull/9845 | 795,088,291 | MDExOlB1bGxSZXF1ZXN0NTYyNDk1MDc4 | 9,845 | [WIP/ don't merge] T5 gradient checkpointing | {
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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 | MEMBER | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/9844 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9844/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9844/comments | https://api.github.com/repos/huggingface/transformers/issues/9844/events | https://github.com/huggingface/transformers/pull/9844 | 795,086,515 | MDExOlB1bGxSZXF1ZXN0NTYyNDkzNjIy | 9,844 | [examples/seq2seq] support label smoothing | {
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"> I don't know if the shift methods are used for something else in the seq2seq methods, but if this was their only use, we could maybe deprecate them?\r\n\r\nthose are used for exactly the same reason, `prepare decoder_input_ids` by shifting `labels`, and those are mostly used inside the models, so yeah, think we ... | 1,611 | 1,612 | 1,612 | MEMBER | null | # What does this PR do?
Add support for label smoothing by adding `prepare_decoder_input_ids_from_labels` method to all seq2seq models which will let us prepare `decoder_input_ids` outside the model.
For context, we need to pass `decoder_input_ids` for label smoothing because we don't pass `labels` to avoid c... | {
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https://api.github.com/repos/huggingface/transformers/issues/9843 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9843/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9843/comments | https://api.github.com/repos/huggingface/transformers/issues/9843/events | https://github.com/huggingface/transformers/issues/9843 | 795,084,829 | MDU6SXNzdWU3OTUwODQ4Mjk= | 9,843 | SQUAD Question Answering example:: RuntimeError: Could not infer dtype of NoneType | {
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"I'm not able to reproduce the issue. I went to [this page](https://huggingface.co/transformers/custom_datasets.html), then clicked on \"Open in colab\" on the top right (chose PyTorch), and then run the question-answering tutorial, and it's working fine for me:\r\n\r\n: 1.7.1
- Tensorflow version (GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/9842 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9842/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9842/comments | https://api.github.com/repos/huggingface/transformers/issues/9842/events | https://github.com/huggingface/transformers/pull/9842 | 795,081,015 | MDExOlB1bGxSZXF1ZXN0NTYyNDg4OTUx | 9,842 | Fix model templates | {
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https://api.github.com/repos/huggingface/transformers/issues/9841 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9841/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9841/comments | https://api.github.com/repos/huggingface/transformers/issues/9841/events | https://github.com/huggingface/transformers/issues/9841 | 795,059,066 | MDU6SXNzdWU3OTUwNTkwNjY= | 9,841 | Multi-TPU training uses just 1 out of 8 cores. | {
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"Hi there. It's just a logging problem in the reporting of the total batch size. If we do the math, from your 5835032 samples, we get 91,172 batches per device, 11,396 batches total (divided by the number of cores) and 1,424 optimization steps (divided by the accumulation steps), which, multiplied by the 3 epochs, ... | 1,611 | 1,611 | 1,611 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: n1-standard-64 Google Cloud
- Python version: 3.7
- PyTorch version (GPU?): 1.7 XLA
- Tensorflow version (GPU?):
- Using GPU in script?: NO, using TPU
- Using distributed or parallel set-up in script?: YES; I try to run it in parallel using all 8 co... | {
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https://api.github.com/repos/huggingface/transformers/issues/9840 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9840/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9840/comments | https://api.github.com/repos/huggingface/transformers/issues/9840/events | https://github.com/huggingface/transformers/pull/9840 | 795,049,207 | MDExOlB1bGxSZXF1ZXN0NTYyNDYxODkw | 9,840 | Fix TF template | {
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This PR fixes the template and a cast issue.
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https://api.github.com/repos/huggingface/transformers/issues/9839 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9839/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9839/comments | https://api.github.com/repos/huggingface/transformers/issues/9839/events | https://github.com/huggingface/transformers/pull/9839 | 795,020,524 | MDExOlB1bGxSZXF1ZXN0NTYyNDM3NzIy | 9,839 | Run GA on forks | {
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https://api.github.com/repos/huggingface/transformers/issues/9838 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9838/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9838/comments | https://api.github.com/repos/huggingface/transformers/issues/9838/events | https://github.com/huggingface/transformers/issues/9838 | 794,968,943 | MDU6SXNzdWU3OTQ5Njg5NDM= | 9,838 | logging_epochs argument for TrainingArguments | {
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"Just like `evaluation_strategy` chooses between `'steps'` and `'epoch'`, to maintain consistency I think it is better to introduce either of:\r\n1. a new enumeration `LoggingStrategy` with values\r\n 1. `'epoch'` for per-epoch functionality\r\n 2. `'steps'` functionality by falling back on `logging_steps`\r\... | 1,611 | 1,613 | 1,613 | CONTRIBUTOR | null | # 🚀 Feature request
There is no `logging_epochs` argument in `TrainingArguments`. When someone wants to train with `EvaluationStrategy.EPOCH`, he/she wants to see the logs after each epoch. Currently it is not possible.
## Motivation
Better logging for training
## Your contribution
If I have time, I wo... | {
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https://api.github.com/repos/huggingface/transformers/issues/9837 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9837/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9837/comments | https://api.github.com/repos/huggingface/transformers/issues/9837/events | https://github.com/huggingface/transformers/pull/9837 | 794,928,242 | MDExOlB1bGxSZXF1ZXN0NTYyMzYwOTA4 | 9,837 | Fixing flaky conversational test + flag it as a pipeline test. | {
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<!--
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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.
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https://api.github.com/repos/huggingface/transformers/issues/9836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9836/comments | https://api.github.com/repos/huggingface/transformers/issues/9836/events | https://github.com/huggingface/transformers/issues/9836 | 794,921,224 | MDU6SXNzdWU3OTQ5MjEyMjQ= | 9,836 | [docs] use `versionadded`, `versionchanged` and `deprecated` directive | {
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"Cool idea! ",
"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... | 1,611 | 1,619 | 1,619 | CONTRIBUTOR | null | # 🚀 Feature request
## Documentation
Use `.. versionadded::`, `.. versionchanged::` and `.. deprecated::` directive, so that user knows which features are added / changed / deprecated in which version and they can navigate the docs easily without changing the docs from version to version.
Ref: https://www.sphin... | {
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https://api.github.com/repos/huggingface/transformers/issues/9835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9835/comments | https://api.github.com/repos/huggingface/transformers/issues/9835/events | https://github.com/huggingface/transformers/issues/9835 | 794,898,203 | MDU6SXNzdWU3OTQ4OTgyMDM= | 9,835 | support Mixed Precision and avoid 'dtype=float32' in implementation | {
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"Hello!\r\nThanks for the feature requests. We are currently working on this, some of them already support mixed precision 👍 ",
"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 th... | 1,611 | 1,619 | 1,619 | NONE | null | # 🚀 Feature request
When using Longformer model, I found the dtype of many tensors are assigned directly by `dtype=tf.dtypes.float32` or equations, which makes mixed precision raining impossible. And I found that other models also have this problem.
Of course It is not a bug to not support mixed precision training... | {
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https://api.github.com/repos/huggingface/transformers/issues/9834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9834/comments | https://api.github.com/repos/huggingface/transformers/issues/9834/events | https://github.com/huggingface/transformers/pull/9834 | 794,896,775 | MDExOlB1bGxSZXF1ZXN0NTYyMzM0NzI1 | 9,834 | Improved TF inputs | {
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"As said offline, I feel like this adds unnecessary complexity for no real gain. I don't think this necessarily slows things down, and if it does I'm sure it's by a negligible margin. \r\n\r\nAs you mentioned offline this also fixes a bug, so if you find a way to integrate this in the `input_processing` method as y... | 1,611 | 1,612 | 1,612 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to improve the input processing of the TF models. Currently the inputs of each model are processed at least twice (once in the model, once in the main layer) and at most four times for the Seq2Seq models (once in the model, once in the main layer, once in the encoder layer and on... | {
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https://api.github.com/repos/huggingface/transformers/issues/9833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9833/comments | https://api.github.com/repos/huggingface/transformers/issues/9833/events | https://github.com/huggingface/transformers/issues/9833 | 794,884,606 | MDU6SXNzdWU3OTQ4ODQ2MDY= | 9,833 | Mixed Precision support and avoid ‘分咯啊太’ | {
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<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request
related to a problem? e.g., I'm always frustrated when [.... | {
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https://api.github.com/repos/huggingface/transformers/issues/9832 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9832/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9832/comments | https://api.github.com/repos/huggingface/transformers/issues/9832/events | https://github.com/huggingface/transformers/issues/9832 | 794,879,372 | MDU6SXNzdWU3OTQ4NzkzNzI= | 9,832 | ImportError: cannot import name 'get_last_checkpoint' | {
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"HI there,\r\n\r\nwhat's your transformers version ? `get_last_checkpoint` is available on master, so you should install from source to use it",
"hi @yuxuan2015 , the latest stable release of transformers (4.2.2) has no 'get_last_checkpoint' function, so if you installed via package manager you won't be able to u... | 1,611 | 1,615 | 1,615 | NONE | null | from transformers.trainer_utils import get_last_checkpoint, is_main_process
ImportError: cannot import name 'get_last_checkpoint' | {
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https://api.github.com/repos/huggingface/transformers/issues/9831 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9831/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9831/comments | https://api.github.com/repos/huggingface/transformers/issues/9831/events | https://github.com/huggingface/transformers/pull/9831 | 794,865,661 | MDExOlB1bGxSZXF1ZXN0NTYyMzA4NzIy | 9,831 | [Setup.py] update jaxlib | {
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<!--
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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.
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