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https://api.github.com/repos/huggingface/transformers/issues/7921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7921/comments | https://api.github.com/repos/huggingface/transformers/issues/7921/events | https://github.com/huggingface/transformers/pull/7921 | 725,227,532 | MDExOlB1bGxSZXF1ZXN0NTA2NDkzNzQx | 7,921 | [testing] experiment with a different way of skipping torch-only test modules | {
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"Great! \r\n\r\nDo you want for us to make this a \"model\" file first, merge it, see how it feels and then replicate to the rest? Or should I just proceed with the rest?\r\n",
"I think you ca just proceed.",
"Bummer! If I make it into a function and thus remove `if ...` - isort and flake now complain:\r\n```\r... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | This is an experiment.
I was getting irked by `require_pytorch` followed by yet another `if is_torch_available()` code in many test modules, specifically this part:
```
@require_torch
class BARTModelTest(ModelTesterMixin, unittest.TestCase):
all_model_classes = (
(BartModel, BartForConditionalGen... | {
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https://api.github.com/repos/huggingface/transformers/issues/7920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7920/comments | https://api.github.com/repos/huggingface/transformers/issues/7920/events | https://github.com/huggingface/transformers/issues/7920 | 725,121,971 | MDU6SXNzdWU3MjUxMjE5NzE= | 7,920 | what's the values of start_positon and end_position while the answer is impossible in run_squad.py | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,603 | 1,608 | 1,608 | NONE | null | # ❓ Questions & Help
### Details
I want to know what's the values of `start_positon` and `end_position` while the answer is **impossible** in `run_squad.py`.
`start_positions = end_postions = -1` OR `start_positions = end_postions = 0` | {
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https://api.github.com/repos/huggingface/transformers/issues/7919 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7919/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7919/comments | https://api.github.com/repos/huggingface/transformers/issues/7919/events | https://github.com/huggingface/transformers/pull/7919 | 725,000,493 | MDExOlB1bGxSZXF1ZXN0NTA2Mjk4OTkw | 7,919 | Expose the Flax code quality problems | {
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This PR is just there to expose the problems related to the code quality with objects introduced in the flax PR. #7914 contains a fix to a few of them, maybe all. | {
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https://api.github.com/repos/huggingface/transformers/issues/7918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7918/comments | https://api.github.com/repos/huggingface/transformers/issues/7918/events | https://github.com/huggingface/transformers/pull/7918 | 724,997,892 | MDExOlB1bGxSZXF1ZXN0NTA2Mjk2NzM4 | 7,918 | Add Flax dummy objects | {
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Following the first JAX models, this PR adds the dummy objects to make sure the library always has the same objects available.
cc @mfuntowicz for information
| {
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https://api.github.com/repos/huggingface/transformers/issues/7917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7917/comments | https://api.github.com/repos/huggingface/transformers/issues/7917/events | https://github.com/huggingface/transformers/pull/7917 | 724,983,176 | MDExOlB1bGxSZXF1ZXN0NTA2Mjg0MTgw | 7,917 | New run glue script | {
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"Should we start thinking about automating the creation of the metadata block for the model's model card?\r\n\r\nhere for instance we'd already have this info:\r\n```\r\n---\r\ndatasets:\r\n- mrpc\r\nmetrics:\r\n- f1\r\nfinetuned_from: bert-base-cased\r\n---\r\n```",
"We could think of something like that and add... | 1,603 | 1,603 | 1,603 | COLLABORATOR | null | # What does this PR do?
This PR cleans up the `run_glue.py` script to use the Datasets library. Along the way it adds a few fixes in Trainer. The script supports all glue tasks as well as custom user tasks (passed along with a training and validation file in csv or json format). It has been tested on the following s... | {
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https://api.github.com/repos/huggingface/transformers/issues/7916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7916/comments | https://api.github.com/repos/huggingface/transformers/issues/7916/events | https://github.com/huggingface/transformers/issues/7916 | 724,934,592 | MDU6SXNzdWU3MjQ5MzQ1OTI= | 7,916 | TypeError: __init__() got an unexpected keyword argument 'vocab_file' in transformers/tokenization_gpt2.py", line 380 | {
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"same issue",
"Hello! I think this is due to a mismatch between your `transformers` and `tokenizers` versions. `transformers` version v3.3.1 expects `tokenizers == 0.8.1.rc2`.\r\n\r\nIf you want to use `tokenizers == 0.9.2` you should work on the current `master` branch or wait for version v3.4.0 which should be ... | 1,603 | 1,604 | 1,604 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- `tokenizers` version: 0.9.2
- Platform: Linux-3.10.0-1062.4.1.el7.x86_64-x86_64-with-redhat-7.7-... | {
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https://api.github.com/repos/huggingface/transformers/issues/7915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7915/comments | https://api.github.com/repos/huggingface/transformers/issues/7915/events | https://github.com/huggingface/transformers/pull/7915 | 724,924,442 | MDExOlB1bGxSZXF1ZXN0NTA2MjM0NjUw | 7,915 | [EncoderDecoder] Fix Typo | {
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Remove dead code
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-re... | {
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https://api.github.com/repos/huggingface/transformers/issues/7914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7914/comments | https://api.github.com/repos/huggingface/transformers/issues/7914/events | https://github.com/huggingface/transformers/pull/7914 | 724,913,489 | MDExOlB1bGxSZXF1ZXN0NTA2MjI1NTUy | 7,914 | [flax] fix repo_check | {
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"I don't understand why you have a problem. `make quality` runs fine for me on master (and the CI is also happy).\r\n\r\n**Edit:** Not saying that this is useless, I just want to understand why it fails for you and not for me :-)",
"Something is wrong on your side and CI. \r\n\r\n`check_repo.py` actually did its ... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | Unless, this is actually a problem, this PR adds `modeling_flax_utils` to ignore list. otherwise currently it expects to have `tests/test_modeling_flax_utils.py` for this module.
It also adds the 2 new tests that don't run common tests to `TEST_FILES_WITH_NO_COMMON_TESTS`
For context please see: https://github.c... | {
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https://api.github.com/repos/huggingface/transformers/issues/7913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7913/comments | https://api.github.com/repos/huggingface/transformers/issues/7913/events | https://github.com/huggingface/transformers/issues/7913 | 724,911,905 | MDU6SXNzdWU3MjQ5MTE5MDU= | 7,913 | `add_prefix_space=True` option in the BPE tokenizer | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,603 | 1,608 | 1,608 | NONE | null | Hello,
I understand that when I add the `add_prefix_space=True` option in the BPE tokenizer statement, the tokenizer will add a space in the beginning of every sequence.
Is there some specific advantages of using the `add_prefix_space=True` option for BPE tokenizer (compared to when I don't use the option), given t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7912/comments | https://api.github.com/repos/huggingface/transformers/issues/7912/events | https://github.com/huggingface/transformers/issues/7912 | 724,880,522 | MDU6SXNzdWU3MjQ4ODA1MjI= | 7,912 | run_tf_text_classification.py giving "ValueError: too many values to unpack" | {
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"Hey, I am getting the same error. \r\n\r\nI am using a three column CSV file which looks like this,\r\n\r\ndata.csv\r\nlabel,sent1,sent2\r\n0,he,so\r\n1,yes,why\r\n\r\nAny help would be appreciated. ",
"The error is caused by the following function\r\n`\r\ntransformed_ds[k] = ds[k].map(\r\n lambda... | 1,603 | 1,614 | 1,614 | CONTRIBUTOR | null | I am trying to run this script for token classification
https://github.com/huggingface/transformers/blob/master/examples/text-classification/run_tf_text_classification.py
Accoring to the instructions here
https://github.com/huggingface/transformers/tree/master/examples/text-classification
I formatted the d... | {
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https://api.github.com/repos/huggingface/transformers/issues/7911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7911/comments | https://api.github.com/repos/huggingface/transformers/issues/7911/events | https://github.com/huggingface/transformers/pull/7911 | 724,842,275 | MDExOlB1bGxSZXF1ZXN0NTA2MTY1MTUw | 7,911 | [Docstring] fix t5 training docstring | {
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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/7910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7910/comments | https://api.github.com/repos/huggingface/transformers/issues/7910/events | https://github.com/huggingface/transformers/issues/7910 | 724,771,520 | MDU6SXNzdWU3MjQ3NzE1MjA= | 7,910 | [T5] Ignore sentinel indices for unsupervised denoising / masking objective? | {
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"Hey @ahoho - good question! \r\n\r\nI'm pretty confident that you should mask all sentinel tokens (with -100) and only compute the loss the \"real\" labels being \"cute dog\", \"the\" and \"</s>\". \r\n\r\nAlso they are definitely not automatically ignored as is done for the pad_token_id in `examples/seq2seq`\r\n... | 1,603 | 1,643 | 1,603 | NONE | null | The [docs](https://huggingface.co/transformers/model_doc/t5.html#training) state that the masked language modeling objective is simply
```
input_ids = tokenizer.encode('The <extra_id_0> walks in <extra_id_1> park', return_tensors='pt')
labels = tokenizer.encode('<extra_id_0> cute dog <extra_id_1> the <extra_id_2> ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7909/comments | https://api.github.com/repos/huggingface/transformers/issues/7909/events | https://github.com/huggingface/transformers/issues/7909 | 724,749,987 | MDU6SXNzdWU3MjQ3NDk5ODc= | 7,909 | pegasus/cnn_dm 12-2 distillation performing poorly | {
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"I would also try without `--fp16`",
"Sure @sshleifer I will try without `--fp16` and update the results here. Thanks for looking into this.",
"Hi @sshleifer \r\n\r\nI ran the below command for distillation (without --fp16 as you suggested):\r\n`python finetune.py --learning_rate=3e-5 --do_train --do_predict --... | 1,603 | 1,603 | 1,603 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.1.0
- Platform: Linux-5.4.0-1028-aws-x86_64-with-debian-buster-sid
- Python version: 3.7.6
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7908/comments | https://api.github.com/repos/huggingface/transformers/issues/7908/events | https://github.com/huggingface/transformers/issues/7908 | 724,725,973 | MDU6SXNzdWU3MjQ3MjU5NzM= | 7,908 | [Model] M2M-100 Multilingual machine translation | {
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"This model is very big. Is there a good way to prune it?",
"Moving to #8054 which is a duplicate (that I created)!",
"> This model is very big. Is there a good way to prune it?\r\n\r\n@Bachstelze Did you find any ways to distill or prune such a large model?",
"@robotsp \r\nThere is a smaller version: https:/... | 1,603 | 1,676 | 1,604 | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
Facebook AI is introducing,
M2M-100
the first multilingual machine translation (MMT) model that translates between any pair of 100 languages without relying on English data.
<!-- Important information -->
## Open source status
* [x] the model implementation is... | {
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https://api.github.com/repos/huggingface/transformers/issues/7907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7907/comments | https://api.github.com/repos/huggingface/transformers/issues/7907/events | https://github.com/huggingface/transformers/issues/7907 | 724,706,830 | MDU6SXNzdWU3MjQ3MDY4MzA= | 7,907 | Reproducing Bart Xsum from Bart Large | {
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"I don't know the answer to this question. Your numbers are close enough that all I can suggest is to either try fairseq's [command](https://github.com/pytorch/fairseq/blob/master/examples/bart/README.summarization.md#4-fine-tuning-on-cnn-dm-summarization-task) or look at differences between our command and fairseq... | 1,603 | 1,651 | 1,606 | CONTRIBUTOR | null | Summarization: @sshleifer
Bart: @sshleifer
## Information
I'm trying to finetune bart large for Xsum and unable to reproduce the results from the paper.
When I try eval with facebook/bart-large-xsum, I get R1=45.3595, RLSum=37.1717 so I assume my eval script is working ok. For finetuning bart large, I use t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7906/comments | https://api.github.com/repos/huggingface/transformers/issues/7906/events | https://github.com/huggingface/transformers/pull/7906 | 724,692,102 | MDExOlB1bGxSZXF1ZXN0NTA2MDM5MDM3 | 7,906 | labels and decoder_input_ids to Glossary | {
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Closes https://github.com/huggingface/transformers/issues/7865
Pinging @sshleifer and @patrickvonplaten for advice regarding the `decoder_input_ids`, @sgugger for docs. | {
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https://api.github.com/repos/huggingface/transformers/issues/7905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7905/comments | https://api.github.com/repos/huggingface/transformers/issues/7905/events | https://github.com/huggingface/transformers/issues/7905 | 724,678,014 | MDU6SXNzdWU3MjQ2NzgwMTQ= | 7,905 | [RAG] How to extract generated strings from `RetrievAugLMMarginOutput` | {
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"@patrickvonplaten can you please help",
"Hey @lalitpagaria,\r\n\r\nUsing embedding, retrieval and generation separately for RagSequence is not yet available sadly.\r\nYou should take a look into the `generate()` function of `RagSequenceForGeneration` for more detail on how to run it separately yourself.",
"Tha... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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https://api.github.com/repos/huggingface/transformers/issues/7904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7904/comments | https://api.github.com/repos/huggingface/transformers/issues/7904/events | https://github.com/huggingface/transformers/issues/7904 | 724,667,347 | MDU6SXNzdWU3MjQ2NjczNDc= | 7,904 | T5 Docs training example has shifted labels | {
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"Hey Sam, it looks like the labels in the example you quoted are not shifted - can you be more specific about you think the labels are shifted?",
"yes, I think the `labels` should be unshifted here (i.e `labels` should be same as `input_ids`) since `shift_right` takes care of preparing shifted `decoder_input_ids`... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/master/docs/source/model_doc/t5.rst#L42
Here is that link quoted:
#### Unsupervised denoising training
In teacher-forcing style, the target sequence is then appended by the EOS token and corresponds to the `labels`.
In this setup spans of the input sequence ar... | {
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https://api.github.com/repos/huggingface/transformers/issues/7903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7903/comments | https://api.github.com/repos/huggingface/transformers/issues/7903/events | https://github.com/huggingface/transformers/pull/7903 | 724,625,838 | MDExOlB1bGxSZXF1ZXN0NTA1OTgwNjE4 | 7,903 | Modelling Encoder-Decoder | Error :- `decoder_config` used before intialisation | {
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"@patrickvonplaten @sgugger, please review",
"Great catch @ayubSubhaniya !"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | Getting error when sending `decoder_config` as a parameter while initializing an encoder-decoder model from pretrained.
# What does this PR do?
fixes "UnboundLocalError: local variable 'decoder_config' referenced before assignment"
## Who can review?
@patrickvonplaten @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/7902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7902/comments | https://api.github.com/repos/huggingface/transformers/issues/7902/events | https://github.com/huggingface/transformers/pull/7902 | 724,596,084 | MDExOlB1bGxSZXF1ZXN0NTA1OTU1NjA1 | 7,902 | change TokenClassificationTask class methods to static methods | {
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"But why doesn't this PR trigger a CI test? @LysandreJik ",
"I have no idea, this is the second time it happens. I sent an empty commit on your branch to trigger the build @donchev7.",
"Pinging @stefan-it for review."
] | 1,603 | 1,604 | 1,604 | CONTRIBUTOR | null | Since we do not require self in the class methods of TokenClassificationTask we should probably switch to static methods. Also, since the class TokenClassificationTask does not contain a constructor it is currently unusable as is. By switching to static methods this fixes the issue of having to document the intent of t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7901/comments | https://api.github.com/repos/huggingface/transformers/issues/7901/events | https://github.com/huggingface/transformers/issues/7901 | 724,539,472 | MDU6SXNzdWU3MjQ1Mzk0NzI= | 7,901 | GPT2Tokenizer strips spaces surrounding special tokens | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"The issue is still present.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think... | 1,603 | 1,654 | 1,621 | NONE | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.7.9
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can he... | {
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https://api.github.com/repos/huggingface/transformers/issues/7900 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7900/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7900/comments | https://api.github.com/repos/huggingface/transformers/issues/7900/events | https://github.com/huggingface/transformers/issues/7900 | 724,473,717 | MDU6SXNzdWU3MjQ0NzM3MTc= | 7,900 | example for passage re-ranking using bert-multilingual-passage-reranking-msmarco | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,603 | 1,608 | 1,608 | NONE | null | can you give me a working example this
`from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("amberoad/bert-multilingual-passage-reranking-msmarco")
model = AutoModelForSequenceClassification.from_pretrained("amberoad/bert-multilingual-passage-rer... | {
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https://api.github.com/repos/huggingface/transformers/issues/7899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7899/comments | https://api.github.com/repos/huggingface/transformers/issues/7899/events | https://github.com/huggingface/transformers/pull/7899 | 724,459,086 | MDExOlB1bGxSZXF1ZXN0NTA1ODQxODAw | 7,899 | Create README.md | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/7898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7898/comments | https://api.github.com/repos/huggingface/transformers/issues/7898/events | https://github.com/huggingface/transformers/issues/7898 | 724,428,508 | MDU6SXNzdWU3MjQ0Mjg1MDg= | 7,898 | [EncoderDecoder] google/roberta2roberta_L-24_wikisplit | {
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"Confirmed by author that BOS and EOS have to be added -> fixed in https://github.com/huggingface/transformers/commit/0724c0f3a2d302246d0bd0b7d2f721fa902dee1b."
] | 1,603 | 1,603 | 1,603 | MEMBER | null | It seems like `google/roberta2roberta_L-24_wikisplit` should be pre-processed differently than originally thought:
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("google/roberta2roberta_L-24_wikisplit")
model = AutoModelForSeq2SeqLM.from_pretrai... | {
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https://api.github.com/repos/huggingface/transformers/issues/7897 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7897/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7897/comments | https://api.github.com/repos/huggingface/transformers/issues/7897/events | https://github.com/huggingface/transformers/issues/7897 | 724,375,221 | MDU6SXNzdWU3MjQzNzUyMjE= | 7,897 | GPT2Tokenizer.add_tokens() didnt change tokenizer.vocab_size | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,603 | 1,608 | 1,608 | NONE | null | follow the instruction in add_tokens()
code:
special_tokens = ['<pad>', '<go_r>', '<unk>', '<go_b>', '<go_a>', '<go_u>', ]
num_added_toks = tokenizer.add_tokens(special_tokens)
print('We have added', num_added_toks, 'tokens')
it can successfully encode and decode the newly added tokens, but the GPT2Tokenizer... | {
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https://api.github.com/repos/huggingface/transformers/issues/7896 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7896/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7896/comments | https://api.github.com/repos/huggingface/transformers/issues/7896/events | https://github.com/huggingface/transformers/issues/7896 | 724,244,101 | MDU6SXNzdWU3MjQyNDQxMDE= | 7,896 | Bert2bert EncoderDecoderModel from Huggingface is generating a zero tensor for any input | {
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"Hey @Aakash12980,\r\n\r\nCould you please provide a complete code examples with which I can reproduce the results? Did you train the model yourself or did you use a pretrained model? (Which one in case you did?)",
"> Hey @Aakash12980,\r\n> \r\n> Could you please provide a complete code examples with which I can ... | 1,603 | 1,609 | 1,609 | NONE | null | I am using Bert2Bert EncoderDecoderModel from Huggingface for sentence simplification. But my model is generating a zero tensor of the same length regardless of the input. Could someone help me what is wrong in my project. The GitHub link of my project is this https://github.com/Aakash12980/Sentence-Simplification-usin... | {
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https://api.github.com/repos/huggingface/transformers/issues/7895 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7895/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7895/comments | https://api.github.com/repos/huggingface/transformers/issues/7895/events | https://github.com/huggingface/transformers/pull/7895 | 724,184,781 | MDExOlB1bGxSZXF1ZXN0NTA1NjE2Nzc3 | 7,895 | [testing] slow tests should be marked as slow | {
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"> For common tests to be marked slow, the slowest iteration of that common test must be > 15s.\r\n\r\nThis one probably needs to be more specific, if for a normal test we decide a threshold of 5s, and you get a common test runs like: 14s, 13, 13, 12s - this is still too slow. perhaps an average of all commont test... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | As discussed in https://github.com/huggingface/transformers/issues/7885 this is an effort to make the test suite manageable execution time-wise, as the number of tests is growing and it takes much longer to complete the tests on CI.
* [x] document and set a standard for when a test needs to be marked as `@slow`
* [... | {
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https://api.github.com/repos/huggingface/transformers/issues/7894 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7894/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7894/comments | https://api.github.com/repos/huggingface/transformers/issues/7894/events | https://github.com/huggingface/transformers/issues/7894 | 724,184,530 | MDU6SXNzdWU3MjQxODQ1MzA= | 7,894 | AdamW | {
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"Hi, yes, this is a warning, nothing you should be afraid of."
] | 1,603 | 1,603 | 1,603 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
Using AdamW of transformers 2.5.1 or 2.6.0, I got the following:
/home/user/anaconda3/lib/python3.7/site-packages/transformers/optimi... | {
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"Running `pip install transformers` installs the latest version for me. Which pip version are you running on?\r\n\r\nYou can install both cpu or gpu for tensorflow, if you want to run on a cpu or a gpu.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed ... | 1,603 | 1,608 | 1,608 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
https://huggingface.co/transformers/installation.html
Running '''pip install transformers''' by default installs 2.5.1
Could y... | {
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https://api.github.com/repos/huggingface/transformers/issues/7892 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7892/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7892/comments | https://api.github.com/repos/huggingface/transformers/issues/7892/events | https://github.com/huggingface/transformers/issues/7892 | 724,172,254 | MDU6SXNzdWU3MjQxNzIyNTQ= | 7,892 | Issue with XLM-R for multiple-choice questions | {
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"Thanks for reporting, will investigate.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Hi @danyaljj and @LysandreJik I have the same issue. Are there any suggestions for runnin... | 1,603 | 1,610 | 1,608 | CONTRIBUTOR | null | Hi there,
I am not able to reasonable numbers with XLM models ("xlm-roberta-base" "xlm-roberta-large") when I test them on [multiple choice questions](https://github.com/huggingface/transformers/tree/master/examples/multiple-choice).
I suspect that it's related to issue #7774.
## Environment info
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https://api.github.com/repos/huggingface/transformers/issues/7891 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7891/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7891/comments | https://api.github.com/repos/huggingface/transformers/issues/7891/events | https://github.com/huggingface/transformers/pull/7891 | 724,132,905 | MDExOlB1bGxSZXF1ZXN0NTA1NTcxNDE5 | 7,891 | [RAG] Propagating of n_docs as parameter to all RagModel's related functions | {
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"@lhoestq would be great if you can review as well",
"@patrickvonplaten Thanks for the review.\r\n\r\nwhile working on this PR I found that in `RagTokenForGeneration` we are computing `batch_size` as follows -\r\n```\r\nbatch_size = context_input_ids.shape[0] // n_docs\r\n```\r\nSo still issue can come when `((co... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null |
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/7890 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7890/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7890/comments | https://api.github.com/repos/huggingface/transformers/issues/7890/events | https://github.com/huggingface/transformers/pull/7890 | 724,097,360 | MDExOlB1bGxSZXF1ZXN0NTA1NTQxNzYy | 7,890 | [wip] improved github actions workflow | {
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"@sshleifer, I don't think I can do anything here w/o repo permissions. I have no access to the runners.\r\n\r\nhttps://github.com/stas00/transformers/actions/runs/319165633\r\n\r\n> No runner matching the specified labels was found: self-hosted, multi-gpu",
"github is so borked! It now won't let me delete the ne... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | This is a WIP work on https://github.com/huggingface/transformers/issues/7887 | {
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"I let @LysandreJik answer about the model but I have a tangential question I love to have some information about @sebastianbujwid (we may be able to help):\r\nWhy is it not possible for you to update transformers past the 2.3.0 version?",
"Hello! Indeed, there has been an issue with the TF ALBERT model that has ... | 1,603 | 1,615 | 1,603 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 2.3.0
- Platform: Linux
- Python version: 3.7.7
### Who can help
<!-- Your issue will be replied to ... | {
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"Merging as this just fixes tests."
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | + bart slow cnn test needs to not consider special tokens
+ Marian integration tests run `setupClass`, which downloads a tokenizer, even if they are skipped. By moving that logic to skipped property, we can save 40s of useless tokenizer downloads.
cc @stas00
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"I will surely give it a try, @sshleifer ",
"So the idea of running my own gh action didn't quite work https://github.com/huggingface/transformers/pull/7890 as I don't have the right permissions to do so.\r\n\r\nBut that doesn't mean this issue can't be worked on.\r\n\r\n# Making information easier/quicker to fin... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | ### TLDR
The goal of this Issue is to make the output of https://github.com/huggingface/transformers/runs/1269744369?check_suite_focus=true more readable, without changing the fact that the job failed.
#### Current Workflow:
I randomly remember to check github actions every 3 days, scroll a long way to see what ... | {
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"Same problem",
"This was patched on `master`, cannot reproduce anymore. Can you reproduce on `master`?",
"> This was patched on `master`, cannot reproduce anymore. Can you reproduce on `master`?\r\n\r\nI installed the newest version (3.4.0) by pip, but this problem still arises.",
"Facing the same issue with... | 1,603 | 1,696 | 1,611 | NONE | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.7.1
- PyTorch version (GPU?): 1.4.0+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: No
### Who can help
No opti... | {
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https://api.github.com/repos/huggingface/transformers/issues/7885 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7885/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7885/comments | https://api.github.com/repos/huggingface/transformers/issues/7885/events | https://github.com/huggingface/transformers/issues/7885 | 724,074,961 | MDU6SXNzdWU3MjQwNzQ5NjE= | 7,885 | [testing] the test suite is many times slower than 2 weeks ago | {
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"Please note that this is runtime on my machine and not CIs - so make sure you're evaluating the report relative to itself and not CI. Once the PR is merged we will start getting CI reports.\r\n\r\nTotal run time 4248s.\r\n\r\nSo it looks like on the torch-side `test_tokenization_fast.py` accounts for the main culp... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | We are going to have a CI-side running reports when this is merged https://github.com/huggingface/transformers/pull/7884, but we can already start looking at what caused a 4-5 times slowdown in the test suite about 10 days ago. I'm not sure the exact moment, but I checked a few reports and it appears that the change ha... | {
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https://api.github.com/repos/huggingface/transformers/issues/7884 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7884/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7884/comments | https://api.github.com/repos/huggingface/transformers/issues/7884/events | https://github.com/huggingface/transformers/pull/7884 | 724,070,976 | MDExOlB1bGxSZXF1ZXN0NTA1NTE5ODIx | 7,884 | [CIs] report slow tests add --durations=0 to some pytest jobs | {
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This PR adds a report, generated by `pytest`, that lists the slowest tests so that we could quickly detect such regressions in our test suite's performance.
As suggested by @ssh... | {
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## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
Pull R... | {
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## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
Pull R... | {
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"Hello, I would say that there's a mismatch between the number of labels you've provided and the number of labels supported by your `model.pt`.\r\n\r\nHow did you obtain your `model.pt`?",
"I downloaded it directly from the links provided for each bert models with `!wget`",
"Which links? Why did you switch from... | 1,603 | 1,693 | 1,609 | NONE | null | ### Who can help
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If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
Please tag fewer than 3 people.
albert, bert, GPT2, XLM: @LysandreJik
tokenize... | {
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https://api.github.com/repos/huggingface/transformers/issues/7880 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7880/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7880/comments | https://api.github.com/repos/huggingface/transformers/issues/7880/events | https://github.com/huggingface/transformers/pull/7880 | 723,964,030 | MDExOlB1bGxSZXF1ZXN0NTA1NDQwMzI1 | 7,880 | Fix bug in _sorted_checkpoints | {
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"Ooh, that's an ugly typo. Thanks for fixing! Will make sure to add a test of this soon so it doesn't break with me being stupid like that."
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | I'm using transformers 3.3.1 and run a training script with `--save_total_limit 3`. I hit the exception below, and after debugging the code found that it wrongly tries to index into the `best_model_checkpoint`'s *str* rather than the `sorted_checkpoints` array. When running without the fix I got this exception:
```
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https://api.github.com/repos/huggingface/transformers/issues/7879 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7879/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7879/comments | https://api.github.com/repos/huggingface/transformers/issues/7879/events | https://github.com/huggingface/transformers/issues/7879 | 723,957,279 | MDU6SXNzdWU3MjM5NTcyNzk= | 7,879 | question about `add_special_tokens` and embedding layer | {
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"When you add special tokens to the tokenizer, you should resize the model embedding matrix so that it contains the extra embeddings.\r\n\r\nYou should then do an additional training/fine-tuning on data containing those special tokens so that the model may tune this new column in the embedding matrix.",
"thanks !... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # ❓ Questions & Help
when I call add_special_tokens in the tokniezer, new token that is not in the existing vocab is added. At this time, the size is different from the existing embedding layer, what happens inside?
1. Abandon the existing embedding layer and train a new.
2. train only new tokens (expand existin... | {
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https://api.github.com/repos/huggingface/transformers/issues/7878 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7878/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7878/comments | https://api.github.com/repos/huggingface/transformers/issues/7878/events | https://github.com/huggingface/transformers/pull/7878 | 723,901,939 | MDExOlB1bGxSZXF1ZXN0NTA1Mzg4MTc2 | 7,878 | [multiple models] skip saving/loading deterministic state_dict keys | {
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"OK, so how would you recommend we run a specific common test for a model whose test module isn't running common tests at all? \r\n\r\nPlease have a look at the approach I used for `mbart` https://github.com/huggingface/transformers/pull/7878/files#diff-f3b9af7b4721bdf972a72e35a35e8742ddc986f12218e728cd2b6ad30a156... | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | Implementing https://github.com/huggingface/transformers/issues/7296
* [x] make testing save/load of `keys_to_never_save` a common test by moving it from `fsmt` modeling test
* [x] implement skipping for all models with static positional embeddings: mbart, pegasus, marian (fsmt had this feature in first place)
F... | {
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https://api.github.com/repos/huggingface/transformers/issues/7877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7877/comments | https://api.github.com/repos/huggingface/transformers/issues/7877/events | https://github.com/huggingface/transformers/pull/7877 | 723,898,246 | MDExOlB1bGxSZXF1ZXN0NTA1Mzg1NDM3 | 7,877 | [wip] [pegasus] encode s/\r?\n/<n>/g + test | {
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"I have some concerns defaulting this logic to `True`, given that some `sshleifer/` models like `sshleifer/pegasus-cnn-ft-v2/`, `distill-pegasus-cnn-16-4/` were trained without newlines in the dataset. I'm sorry I forgot to mention these until now.\r\n\r\nI would merge this if the logic to do the regex were defaul... | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | As discussed in https://github.com/huggingface/transformers/issues/7743
* [x] On encode: `s/\r?\n/<n>/g` + test
* [ ] On decode: `s/<n>/\n/g` - not sure what to do since `run_eval.py` can't work with multiline outputs as it uses readline to get each record and inserting `\n` would break the records if they are now ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7876/comments | https://api.github.com/repos/huggingface/transformers/issues/7876/events | https://github.com/huggingface/transformers/issues/7876 | 723,891,953 | MDU6SXNzdWU3MjM4OTE5NTM= | 7,876 | xlm-mlm-17-1280 & xlm-mlm-100-1280 include languages? | {
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"Hi, you can find this data [here](https://github.com/facebookresearch/XLM#the-17-and-100-languages)."
] | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
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https://api.github.com/repos/huggingface/transformers/issues/7875 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7875/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7875/comments | https://api.github.com/repos/huggingface/transformers/issues/7875/events | https://github.com/huggingface/transformers/issues/7875 | 723,861,490 | MDU6SXNzdWU3MjM4NjE0OTA= | 7,875 | How to do categorical sequence classification? | {
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"Solved by adding `num_labels` to the constructor: `BertForSequenceClassification.from_pretrained(\"...\", num_labels=z)`. Then the onehot-encoding wasn't necessary either. Another error would probably make it easier to spot this though."
] | 1,602 | 1,603 | 1,603 | NONE | null | Whenever I have a sequence of max length y of batch size x: (x, y) and categorical (z) classification (x, z) I get the error that batch size isn't the same x vs x*z, how do I fix this? | {
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https://api.github.com/repos/huggingface/transformers/issues/7874 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7874/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7874/comments | https://api.github.com/repos/huggingface/transformers/issues/7874/events | https://github.com/huggingface/transformers/issues/7874 | 723,852,173 | MDU6SXNzdWU3MjM4NTIxNzM= | 7,874 | [Rag] extend_enc_output fails when number of retrieved documents not equal to RagConfig.n_docs | {
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"@lalitpagaria - good point! I think the cleanest solution here would actually be to add `n_docs` as a argument to all RagModel forward's function that defaults to `self.config.n_docs` (exactly as it is the case for `use_cache` or `output_attentions`) => it would be great if you could open a PR for this :-) ",
"@... | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/7873 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7873/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7873/comments | https://api.github.com/repos/huggingface/transformers/issues/7873/events | https://github.com/huggingface/transformers/issues/7873 | 723,836,451 | MDU6SXNzdWU3MjM4MzY0NTE= | 7,873 | can't set evaluation_strategy to "epoch" | {
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"This has been done already, see [here](https://github.com/huggingface/transformers/blob/master/src/transformers/training_args.py#L335). But you need to install from source for that, since the change is recent,",
"This issue has been automatically marked as stale because it has not had recent activity. It will be... | 1,602 | 1,608 | 1,608 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.3.1
### Who can help
@sgugger
## Information
Seems like we can't use the evaluation_strategy=epoch option. The default value of evaluate_during_training is boolean (False). In transformers/training_args.py, __post_init__ function, there is a check - `if self.e... | {
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https://api.github.com/repos/huggingface/transformers/issues/7872 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7872/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7872/comments | https://api.github.com/repos/huggingface/transformers/issues/7872/events | https://github.com/huggingface/transformers/pull/7872 | 723,834,899 | MDExOlB1bGxSZXF1ZXN0NTA1MzM3NDg4 | 7,872 | Fix Rag example docstring | {
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https://api.github.com/repos/huggingface/transformers/issues/7871 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7871/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7871/comments | https://api.github.com/repos/huggingface/transformers/issues/7871/events | https://github.com/huggingface/transformers/issues/7871 | 723,826,629 | MDU6SXNzdWU3MjM4MjY2Mjk= | 7,871 | RAG generate function uses input_ids even when context_input_ids are given. | {
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"Hey @LittlePea13 - yes you are very much correct here. This PR linked to the issue should fix it. Thanks a lot!"
] | 1,602 | 1,602 | 1,602 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Linux-5.4.0-51-generic-x86_64-with-debian-buster-sid
- Python version: 3.6.8
- PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/7870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7870/comments | https://api.github.com/repos/huggingface/transformers/issues/7870/events | https://github.com/huggingface/transformers/pull/7870 | 723,788,919 | MDExOlB1bGxSZXF1ZXN0NTA1MzAzOTM4 | 7,870 | Add missing comma | {
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https://api.github.com/repos/huggingface/transformers/issues/7869 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7869/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7869/comments | https://api.github.com/repos/huggingface/transformers/issues/7869/events | https://github.com/huggingface/transformers/pull/7869 | 723,751,147 | MDExOlB1bGxSZXF1ZXN0NTA1Mjc2NzUy | 7,869 | Raise error when using AMP on non-CUDA device | {
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"> I think the postinit is a great place for this sanity check, so the error comes fast to the user, and I don't think our current FP16 implementations (Apex and Amp) work with TPUs. I can check the latter on Monday and report back here.\r\n\r\nIf you'd rather be more forgiving, let me know. In that case we can do ... | 1,602 | 1,603 | 1,603 | COLLABORATOR | null | The trainer currently implements native AMP in such a way that a GradScaler is always used. AFAIK, and as supported by [this post](https://github.com/pytorch/pytorch/issues/36169#issuecomment-611261781) and [this report on the forums](https://discuss.huggingface.co/t/training-gpt2-on-cpus/1603), this will only work on ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7868 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7868/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7868/comments | https://api.github.com/repos/huggingface/transformers/issues/7868/events | https://github.com/huggingface/transformers/pull/7868 | 723,742,957 | MDExOlB1bGxSZXF1ZXN0NTA1MjcwOTc2 | 7,868 | Julibert model card | {
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https://api.github.com/repos/huggingface/transformers/issues/7867 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7867/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7867/comments | https://api.github.com/repos/huggingface/transformers/issues/7867/events | https://github.com/huggingface/transformers/pull/7867 | 723,719,220 | MDExOlB1bGxSZXF1ZXN0NTA1MjUzNzQ4 | 7,867 | Add AI-SOCO models | {
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] | closed | false | null | [] | [] | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
Adding AI-SOCO language and classification models.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTIN... | {
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https://api.github.com/repos/huggingface/transformers/issues/7866 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7866/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7866/comments | https://api.github.com/repos/huggingface/transformers/issues/7866/events | https://github.com/huggingface/transformers/issues/7866 | 723,712,682 | MDU6SXNzdWU3MjM3MTI2ODI= | 7,866 | AttributeError: module 'tensorflow_core.keras.activations' has no attribute 'swish' | {
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"> # ❓ Questions & Help\r\n> ## Details\r\n> tensorflow 2.0.0\r\n> after \"pip install transformers\", i import transformers, meet this error.\r\n> \r\n> **A link to original question on the forum/Stack Overflow**:\r\n\r\n兄弟，升级tf到2.3",
"Hi, you should install TensorFlow 2.3 as mentioned by @wmathor "
] | 1,602 | 1,603 | 1,603 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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https://api.github.com/repos/huggingface/transformers/issues/7865 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7865/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7865/comments | https://api.github.com/repos/huggingface/transformers/issues/7865/events | https://github.com/huggingface/transformers/issues/7865 | 723,680,517 | MDU6SXNzdWU3MjM2ODA1MTc= | 7,865 | labels and decoder_input_ids | {
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"I also get confused by the notation and would appreciate some clarifications.\r\nThank you.",
"@AI678 I think I got it. Do not take my words as absolute truth since I am new to the subject.\r\nIf you are talking about a full Transformer architecture (e.g. BART, T5, PEGASUS), the labels are the token ids to which... | 1,602 | 1,603 | 1,603 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/7864 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7864/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7864/comments | https://api.github.com/repos/huggingface/transformers/issues/7864/events | https://github.com/huggingface/transformers/pull/7864 | 723,625,184 | MDExOlB1bGxSZXF1ZXN0NTA1MTc4MDI2 | 7,864 | Create model card for pre-trained NLI models. | {
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"Hi @julien-c, thank you so much for the pointer. I have added the dataset identifier and license.",
"Thanks! Your model is now linked from https://huggingface.co/datasets/anli (and the other datasets)"
] | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | 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/7863 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7863/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7863/comments | https://api.github.com/repos/huggingface/transformers/issues/7863/events | https://github.com/huggingface/transformers/pull/7863 | 723,620,987 | MDExOlB1bGxSZXF1ZXN0NTA1MTc0ODgy | 7,863 | [testing] rename skip targets + docs | {
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"I resolved conflicts - it's good to go now."
] | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | As discussed in https://github.com/huggingface/transformers/issues/6349 this PR brings consistency to skip decorators, so now we will have:
* `require_torch` - this test will run only under torch
* `require_torch_gpu` - as `require_torch` plus requires at least 1 GPU
* `require_torch_multigpu` - as `require_torch`... | {
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https://api.github.com/repos/huggingface/transformers/issues/7862 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7862/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7862/comments | https://api.github.com/repos/huggingface/transformers/issues/7862/events | https://github.com/huggingface/transformers/issues/7862 | 723,618,699 | MDU6SXNzdWU3MjM2MTg2OTk= | 7,862 | unshared Albert | {
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"Hello! The layers are shared in ALBERT because even though there are `config.num_hidden_layers=n`, there's usually `config.num_hidden_groups = 1`. Change that value to `n` to have `n` different layers.",
"Thanks for your reply, I have another question about that\r\nHow can I load the AlbertModel parameter(in tra... | 1,602 | 1,609 | 1,609 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
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https://api.github.com/repos/huggingface/transformers/issues/7861 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7861/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7861/comments | https://api.github.com/repos/huggingface/transformers/issues/7861/events | https://github.com/huggingface/transformers/pull/7861 | 723,616,634 | MDExOlB1bGxSZXF1ZXN0NTA1MTcxNjkw | 7,861 | [testing] remove USE_CUDA | {
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I don't think I needed to add `CUDA_VISIBLE_DEVICES=""` to `.circleci` config files since those CIs have no gpus anyway.
@LysandreJik, @sgugger, @sshleifer
fixes: #6349 | {
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https://api.github.com/repos/huggingface/transformers/issues/7860 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7860/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7860/comments | https://api.github.com/repos/huggingface/transformers/issues/7860/events | https://github.com/huggingface/transformers/pull/7860 | 723,611,715 | MDExOlB1bGxSZXF1ZXN0NTA1MTY3OTYz | 7,860 | [fsmt test] basic config test with online model + super tiny model | {
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"Hi Stas, thanks, #7659 will fix this (we will now require at least one example checkpoint for each tokenizer and we test it automatically).",
"@thomwolf, I'm not certain why you closed this. This is a tokenizer test that is needed - the issue caught in examples was just a flag that there was a missing test in th... | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | This PR does:
* [x] Seeing the issue of https://github.com/huggingface/transformers/pull/7659 I realized fsmt didn't have a basic non-slow test that loads the tokenizer via online model files. Luckily a totally unrelated examples test caught this issue in that PR, so adding a very simple quick test in the main test ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7859 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7859/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7859/comments | https://api.github.com/repos/huggingface/transformers/issues/7859/events | https://github.com/huggingface/transformers/pull/7859 | 723,517,249 | MDExOlB1bGxSZXF1ZXN0NTA1MDkwNzM4 | 7,859 | [s2s testing] turn all to unittests, use auto-delete temp dirs | {
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"@sshleifer, one thing I wasn't sure about - since now the temp dir creation/destruction is automated and it's easy to hardwire those by just passing the explicit path `self.get_auto_remove_tmp_dir(\"/tmp/favoritedir\")` when debugging - I removed the prefices that were used in `tempfile.mkdtemp`. Do you still want... | 1,602 | 1,603 | 1,602 | CONTRIBUTOR | null | Currently in `examples/seq2seq/test_seq2seq_examples.py` many tmp dirs remain uncleaned by the end of the test:
This PR does:
* Now that we have `parameterized`, convert all tests into unittests
* Now that we have unittests, we can use auto-delete tmp dirs easily using `get_auto_remove_tmp_dir()`
* convert 4 test... | {
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https://api.github.com/repos/huggingface/transformers/issues/7858 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7858/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7858/comments | https://api.github.com/repos/huggingface/transformers/issues/7858/events | https://github.com/huggingface/transformers/pull/7858 | 723,510,842 | MDExOlB1bGxSZXF1ZXN0NTA1MDg1NDk4 | 7,858 | Trainer with Iterable Dataset | {
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"Now investigating this FAILED test.\r\nSo far, it is PASSED on 3 different environments I have tried.\r\n`FAILED tests/test_tokenization_fast.py::SentencePieceFastTokenizerTest::test_add_special_tokens` from `run_tests_torch_and_tf`",
"@sgugger \r\n\r\nCircleCI `run_tests_torch_and_tf` is FAILED, because \r\n```... | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
Fixes #5990
Follows #5995 (closed because stale).
Merges all commits from master.
* accomodate iterable dataset without predefined length
* set it as 1 use case: provide max_steps, and NO num_epochs
* Is a merge of master and PR 5995
- [ ] This PR fixes a typo or improves the docs ... | {
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# What does this PR do?
Creare model card for `cambridgeltl/BioRedditBERT-uncased`.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/maste... | {
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The mish activation function was repeated in the file. I removed the duplicate.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
## Who can review?
Anyone in the community is free to review the PR once the tests... | {
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https://api.github.com/repos/huggingface/transformers/issues/7854 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7854/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7854/comments | https://api.github.com/repos/huggingface/transformers/issues/7854/events | https://github.com/huggingface/transformers/pull/7854 | 723,394,539 | MDExOlB1bGxSZXF1ZXN0NTA0OTg3NjA2 | 7,854 | Fixing issue #7810 | {
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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."
] | 1,602 | 1,614 | 1,614 | NONE | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/7853 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7853/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7853/comments | https://api.github.com/repos/huggingface/transformers/issues/7853/events | https://github.com/huggingface/transformers/issues/7853 | 723,293,229 | MDU6SXNzdWU3MjMyOTMyMjk= | 7,853 | SequenceSummary class in modeling_utils.py | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | Hello,
I have a question about the documentation strings provided for the forward function of the SequenceSummary class from modeling_utils.py:
https://github.com/huggingface/transformers/blob/dc552b9b7025ea9c38717f30ad3d69c2a972049d/src/transformers/modeling_utils.py#L1484
So when `cls_index` is not specified as ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7852 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7852/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7852/comments | https://api.github.com/repos/huggingface/transformers/issues/7852/events | https://github.com/huggingface/transformers/pull/7852 | 723,202,277 | MDExOlB1bGxSZXF1ZXN0NTA0ODI4NTk3 | 7,852 | Upgrade PyTorch Lightning to 1.0.2 | {
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"@sshleifer @julien-c \r\nmind helping land this?\r\n\r\nthis upgrades HF to use lightning 1.0+ \r\n\r\nthe 1.0 version has the stable API along with major fixes (many of the open issues with lightning and HF are fixed here). \r\n\r\nFinally, a few notes about the changes with the earlier versions (earliest versio... | 1,602 | 1,604 | 1,603 | CONTRIBUTOR | null | Updates Pytorch Lightning to 1.0.2, and moves early stopping callback into the general callbacks due to deprecation. | {
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https://api.github.com/repos/huggingface/transformers/issues/7851 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7851/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7851/comments | https://api.github.com/repos/huggingface/transformers/issues/7851/events | https://github.com/huggingface/transformers/pull/7851 | 723,198,276 | MDExOlB1bGxSZXF1ZXN0NTA0ODI1Mzcx | 7,851 | Trainer accepts iterable datasets | {
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"Hi there, thanks for the PR! Unfortunately it's not based on current master, so we can't review properly as it suggests changes from code that does not exist anymore.",
"Some merging work to be done."
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | Fixes #5990
Follows PR #5995 (got closed for being stale...)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-cont... | {
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https://api.github.com/repos/huggingface/transformers/issues/7850 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7850/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7850/comments | https://api.github.com/repos/huggingface/transformers/issues/7850/events | https://github.com/huggingface/transformers/issues/7850 | 723,168,609 | MDU6SXNzdWU3MjMxNjg2MDk= | 7,850 | OperatorNotAllowedInGraphError in dbmdz/bert-base-italian-cased for Token Classification | {
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"This might be of interest to @jplu ",
"Hello! \n\nFor now you cannot use the `.fit()` method to train a TF model. This will be possible in a next release.\n\nIf you want to train a NER model please use the TF trainer.",
"Thanks for your answer, I will try TF Trainer",
"This issue has been automatically marke... | 1,602 | 1,608 | 1,608 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Linux-5.4.0-1028-aws-x86_64-with-debian-buster-sid
- Python version: 3.7.7
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7849 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7849/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7849/comments | https://api.github.com/repos/huggingface/transformers/issues/7849/events | https://github.com/huggingface/transformers/issues/7849 | 723,104,327 | MDU6SXNzdWU3MjMxMDQzMjc= | 7,849 | how to save and load fine-tuned model? | {
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"To save your model, first create a directory in which everything will be saved. In Python, you can do this as follows:\r\n```\r\nimport os\r\nos.makedirs(\"path/to/awesome-name-you-picked\")\r\n```\r\nNext, you can use the `model.save_pretrained(\"path/to/awesome-name-you-picked\")` method. This will save the mode... | 1,602 | 1,689 | 1,603 | CONTRIBUTOR | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
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https://api.github.com/repos/huggingface/transformers/issues/7848 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7848/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7848/comments | https://api.github.com/repos/huggingface/transformers/issues/7848/events | https://github.com/huggingface/transformers/issues/7848 | 723,027,901 | MDU6SXNzdWU3MjMwMjc5MDE= | 7,848 | RuntimeError with DistributedDataParallel | {
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"The `BertModel` runs absolutely fine in `DistributedDataParallel` (just retried) so the issue probably comes from the rest of your code and not the library. I can't see the code for the `LosslessTripletLoss`, maybe the issues comes from there.\r\n\r\nIn any case, to debug I would follow the instruction given in th... | 1,602 | 1,686 | 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: 3.3.1
- Platform: Ubuntu 18.04
- Python version: 3.7.7.final.0
- PyTorch version (GPU?): 1.6.0 gpu
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/7847 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7847/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7847/comments | https://api.github.com/repos/huggingface/transformers/issues/7847/events | https://github.com/huggingface/transformers/issues/7847 | 722,993,861 | MDU6SXNzdWU3MjI5OTM4NjE= | 7,847 | Where do the models go in colab? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | ## Who can help
<!-- Your issue will be replied to more quickly if you can figure out the right person to tag with @
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Please tag fewer than 3 people.
albert, bert, GPT2, XLM: @LysandreJik
tokenizer... | {
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https://api.github.com/repos/huggingface/transformers/issues/7846 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7846/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7846/comments | https://api.github.com/repos/huggingface/transformers/issues/7846/events | https://github.com/huggingface/transformers/issues/7846 | 722,963,649 | MDU6SXNzdWU3MjI5NjM2NDk= | 7,846 | BartTokenizer prepare_seq2seq_batch() does not return decoder_input_ids, decoder_attention_mask as per document after passing tgt_texts | {
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"I am facing the same issue and I noticed that the method indeed returns the `[\"input_ids\"]` of `tgt_texts` as labels. I think I could easily fix this to return both `input_ids` and `attention_mask` of `tgt_texts` (as `decoder_...`) but I noticed the same pattern in other seq2seq models, like T5. I am not sure w... | 1,602 | 1,606 | 1,606 | NONE | null | I am trying to train a seq2seq model using BartModel. As per BartTokenizer documentation if I pass tgt_texts then it should return decoder_attention_mask and decoder_input_ids please check the attachment for clarity.
![image](https://user-images.githubusercontent.com/47693507/96223213-5d10af00-0faf-11eb-9253-5985990f... | {
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https://api.github.com/repos/huggingface/transformers/issues/7845 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7845/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7845/comments | https://api.github.com/repos/huggingface/transformers/issues/7845/events | https://github.com/huggingface/transformers/pull/7845 | 722,914,249 | MDExOlB1bGxSZXF1ZXN0NTA0NTk0MTA1 | 7,845 | [seq2seq testing] improve readability | {
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@sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/7844 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7844/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7844/comments | https://api.github.com/repos/huggingface/transformers/issues/7844/events | https://github.com/huggingface/transformers/issues/7844 | 722,905,618 | MDU6SXNzdWU3MjI5MDU2MTg= | 7,844 | [seq2seq distributed] child process stuck on error | {
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"OK, this is the problem with PL if anything, as the command:\r\n```\r\nPYTHONPATH=\"src\" /home/stas/anaconda3/envs/main-38/bin/python /mnt/nvme1/code/huggingface/transformers-distr-train-test/examples/seq2seq/distillation.py --supervise_forward --normalize_hidden --label_smoothing=0.0 --eval_beams=1 --val_metric=... | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null |
Filing an issue for myself to help move along https://github.com/huggingface/transformers/pull/7281
```
pytest -sv examples/seq2seq/test_seq2seq_examples_multi_gpu.py
```
gets stuck if one of the child subprocesses throws an error.
Remove `skip_output_dir_check=True,` to reproduce the problem.
It could be r... | {
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https://api.github.com/repos/huggingface/transformers/issues/7843 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7843/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7843/comments | https://api.github.com/repos/huggingface/transformers/issues/7843/events | https://github.com/huggingface/transformers/pull/7843 | 722,880,286 | MDExOlB1bGxSZXF1ZXN0NTA0NTY0MjE1 | 7,843 | [seq2seq] get_git_info fails gracefully | {
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"Thanks for returning the same keys!"
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | It looks like gitpython is broken when one tries to use it from `git checkout hash`, see: https://github.com/gitpython-developers/GitPython/issues/633
While debugging/bisecting we need to be able to step through different commits and for the code to still work.
Currently if I do:
```
git checkout fb94b8f1e16eb... | {
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https://api.github.com/repos/huggingface/transformers/issues/7842 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7842/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7842/comments | https://api.github.com/repos/huggingface/transformers/issues/7842/events | https://github.com/huggingface/transformers/pull/7842 | 722,832,568 | MDExOlB1bGxSZXF1ZXN0NTA0NTE5NDkx | 7,842 | [testing] disable FutureWarning in examples tests | {
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same as PR: https://github.com/huggingface/transformers/pull/7079 | {
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https://api.github.com/repos/huggingface/transformers/issues/7841 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7841/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7841/comments | https://api.github.com/repos/huggingface/transformers/issues/7841/events | https://github.com/huggingface/transformers/pull/7841 | 722,740,894 | MDExOlB1bGxSZXF1ZXN0NTA0NDQzNTM4 | 7,841 | [DOC] Typo and fix the input of labels to `cross_entropy` | {
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The current version caused some errors. The proposed changes fixed it for me. Hope this is helpful!
- [ x] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/7840 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7840/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7840/comments | https://api.github.com/repos/huggingface/transformers/issues/7840/events | https://github.com/huggingface/transformers/issues/7840 | 722,740,705 | MDU6SXNzdWU3MjI3NDA3MDU= | 7,840 | Token Type IDs returned from the tokenizer for T5 don't work with special tokens | {
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"The PR linked to this issue should fix it. However note that T5 does not use `token_type_ids`, so that we will simply return all 0."
] | 1,602 | 1,605 | 1,605 | CONTRIBUTOR | null | With `transformers-3.3.1`:
```
import transformers
t = transformers.AutoTokenizer.from_pretrained('t5-small')
t.encode_plus(["a"], ["b"], add_special_tokens=True, return_token_type_ids=True)
```
This results in
```
{'input_ids': [9, 1, 115, 1], 'token_type_ids': [0, 1], 'attention_mask': [1, 1, 1, 1]}
```
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7839 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7839/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7839/comments | https://api.github.com/repos/huggingface/transformers/issues/7839/events | https://github.com/huggingface/transformers/pull/7839 | 722,688,822 | MDExOlB1bGxSZXF1ZXN0NTA0Mzk4MzM3 | 7,839 | Small fixes to HP search | {
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HP search has two small bugs in `Trainer` right now:
- it pops things form the metrics dict, which are then improperly logged
- it doesn't pop out the `total_flos`, so the hp search tries to maximize the flos (which I guess is @TevenLeScao master plan to conquer the universe ;-) ) | {
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"Hey, I tried exporting T5 for summarization but get the below error:\r\n**You have to specify either decoder_input_ids or decoder_inputs_embeds**\r\n\r\nI get a similar error for translation pipeline as well. Any workarounds available for this?\r\n@patrickvonplaten @sshleifer ",
"Hey @amanpreet692 - you need to ... | 1,602 | 1,619 | 1,619 | CONTRIBUTOR | null | Hi, love the work that's going on with ONNX. I wanted to share the current state of ONNX support in case others were wondering about it (sorry for another table).
Pipeline | Supported
--- | ---
feature-extraction | ✓
sentiment-analysis | ✓
ner | ✓
question-answering | ✓
fill-mask | ✓
text-generation | ✓
tran... | {
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https://api.github.com/repos/huggingface/transformers/issues/7837 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7837/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7837/comments | https://api.github.com/repos/huggingface/transformers/issues/7837/events | https://github.com/huggingface/transformers/pull/7837 | 722,634,080 | MDExOlB1bGxSZXF1ZXN0NTA0MzUyODcx | 7,837 | [testing] fix/hide warnings | {
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- fixes PytestCollectionWarning - pytest doesn't like non-unittest classes starting with `Test`
- hides scatter_gather warnings - as it was suggested they are just so
@sgugger
Fixes: https://github.com/huggingface/transformers/issues/7832
| {
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https://api.github.com/repos/huggingface/transformers/issues/7836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7836/comments | https://api.github.com/repos/huggingface/transformers/issues/7836/events | https://github.com/huggingface/transformers/pull/7836 | 722,617,739 | MDExOlB1bGxSZXF1ZXN0NTA0MzM4Mjk4 | 7,836 | model card for arabic-ner model | {
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"Thanks for sharing!"
] | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | README file for the Arabic NER model
# 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 cont... | {
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https://api.github.com/repos/huggingface/transformers/issues/7835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7835/comments | https://api.github.com/repos/huggingface/transformers/issues/7835/events | https://github.com/huggingface/transformers/pull/7835 | 722,611,877 | MDExOlB1bGxSZXF1ZXN0NTA0MzMyOTU1 | 7,835 | [cleanup] assign todos, faster bart-cnn test | {
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I also deleted some commented out code blocks. | {
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https://api.github.com/repos/huggingface/transformers/issues/7834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7834/comments | https://api.github.com/repos/huggingface/transformers/issues/7834/events | https://github.com/huggingface/transformers/pull/7834 | 722,601,454 | MDExOlB1bGxSZXF1ZXN0NTA0MzIzNDE3 | 7,834 | [utils/check_copies.py] fix DeprecationWarning | {
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"Thanks!"
] | 1,602 | 1,603 | 1,602 | CONTRIBUTOR | null | in `tests/test_utils_check_copies.py` I was getting intermittently:
```
utils/check_copies.py:52
/mnt/nvme1/code/transformers-comet/utils/check_copies.py:52: DeprecationWarning: invalid escape sequence \s
while line_index < len(lines) and re.search(f"^{indent}(class|def)\s+{name}", lines[line_index]) is None:... | {
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https://api.github.com/repos/huggingface/transformers/issues/7833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7833/comments | https://api.github.com/repos/huggingface/transformers/issues/7833/events | https://github.com/huggingface/transformers/issues/7833 | 722,600,366 | MDU6SXNzdWU3MjI2MDAzNjY= | 7,833 | [s2s trainer] tests fail on multi-gpu machine | {
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"@stas00 would you be interested in taking a look at this, possibly reusing the fix in https://github.com/huggingface/transformers/pull/7281 ?\r\nIf that doesn't work we can hack it like `tests/test_trainer.py`:\r\n\r\nhttps://github.com/huggingface/transformers/blob/a1d1b332d07a40177ae1959609ab70dab34018b8/tests/t... | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | #### Command
```bash
RUN_SLOW=1 USE_CUDA=1 pytest examples/seq2seq/test_finetune_trainer.py
```
#### Traceback
```python
=========================================================== test session starts ===========================================================
platform linux -- Python 3.7.4, pytest-5.3.5, py... | {
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https://api.github.com/repos/huggingface/transformers/issues/7832 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7832/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7832/comments | https://api.github.com/repos/huggingface/transformers/issues/7832/events | https://github.com/huggingface/transformers/issues/7832 | 722,593,875 | MDU6SXNzdWU3MjI1OTM4NzU= | 7,832 | [testing] test_trainer_callback.py cannot collect test class 'TestTrainerCallback' | {
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"It's just pytest thinking that class is a test because it begins by Test. Will fix, but this is very low priority for me as it runs as intended since pytest does not collect it. No idea about the other warning, but again, not important since the goal of that test is not to test gathered tensors, just the event flo... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | something is wrong here:
```
$ pytest tests/test_trainer_callback.py
tests/test_trainer_callback.py:24
/mnt/nvme1/code/transformers-comet/tests/test_trainer_callback.py:24: PytestCollectionWarning: cannot collect test class 'TestTrainerCallback' because it has a __init__ constructor (from: tests/test_trainer_ca... | {
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https://api.github.com/repos/huggingface/transformers/issues/7831 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7831/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7831/comments | https://api.github.com/repos/huggingface/transformers/issues/7831/events | https://github.com/huggingface/transformers/issues/7831 | 722,584,720 | MDU6SXNzdWU3MjI1ODQ3MjA= | 7,831 | [RAG] RagSequenceForGeneration should not load "facebook/rag-token-nq" and RagTokenForGeneration also should not load "facebook/rag-sequence-nq" | {
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"The model weights are actually 1-1 compatible with each other, so I see no reason why we should throw an exception here.",
"Hi Patrick, I also believe there are typos regarding the examples :\r\n\r\nOn \"sequence\" based : https://huggingface.co/facebook/rag-sequence-nq , the examples use \"token\" arguments e.g... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/7830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7830/comments | https://api.github.com/repos/huggingface/transformers/issues/7830/events | https://github.com/huggingface/transformers/pull/7830 | 722,584,314 | MDExOlB1bGxSZXF1ZXN0NTA0MzA4OTA3 | 7,830 | fix wandb/comet problems | {
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"Thanks for this! W're working on a refactor on the comet_ml SDK to move some of the complications from here over to there.",
"@dsblank, also while you're at it, would it be possible to mend these in both projects. Getting these w/ py38 in the test suite. Thank you!\r\n\r\n```\r\n/home/stas/anaconda3/envs/main-38... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | As discussed in https://github.com/huggingface/transformers/issues/7821
* handle the case where `comet_ml` is installed but not configured
* fix error in wandb code:
```
> combined_dict = {**model.config.to_dict(), **combined_dict}
E AttributeError: 'NoneType' object has no attribute ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7829 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7829/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7829/comments | https://api.github.com/repos/huggingface/transformers/issues/7829/events | https://github.com/huggingface/transformers/issues/7829 | 722,581,213 | MDU6SXNzdWU3MjI1ODEyMTM= | 7,829 | [RAG] RagSequenceForGeneration: Running "retriever separately example" giving error | {
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"Hey @lalitpagaria - spot on! Thanks a lot for your issue, you're 100% correct here. \r\n\r\nI actually noticed that the `RagSequence` generate function is a bit more complex so that we cannot do the decomposed (embed, retrieve, generate) example here...\r\n\r\nThe PR linked to the issue removes the use case from t... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/7828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7828/comments | https://api.github.com/repos/huggingface/transformers/issues/7828/events | https://github.com/huggingface/transformers/pull/7828 | 722,541,134 | MDExOlB1bGxSZXF1ZXN0NTA0MjczOTkx | 7,828 | fix: ignore padding tokens in Bart loss | {
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"I don't seem to be able to add reviewers but I guess this would fall into the domain of @sshleifer. ",
"Thx for the contribution!\r\n\r\nFYI we have a seq2seq finetuner with this bugfix.\r\nhttps://github.com/huggingface/transformers/blob/master/examples/seq2seq/seq2seq_trainer.py#L43\r\n\r\nI worked on this at ... | 1,602 | 1,606 | 1,606 | MEMBER | null | # What does this PR do?
There is a discrepancy between the [fine-tuning script](https://github.com/huggingface/transformers/blob/e7aa64838cc604abf7a49e69ca0ffe7af683d8ca/examples/seq2seq/finetune.py#L153) and the [BartForConditionalGeneration](https://github.com/huggingface/transformers/blob/e7aa64838cc604abf7a49e69ca... | {
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https://api.github.com/repos/huggingface/transformers/issues/7827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7827/comments | https://api.github.com/repos/huggingface/transformers/issues/7827/events | https://github.com/huggingface/transformers/issues/7827 | 722,525,056 | MDU6SXNzdWU3MjI1MjUwNTY= | 7,827 | Do I need to apply the softmax function to my logit before calculating the CrossEntropyLoss? | {
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"There is no need to add the nn.softmax function. Pls. refer to the [pytorch document](https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html?highlight=crossentropyloss#torch.nn.CrossEntropyLoss).",
"This issue has been automatically marked as stale because it has not had recent activity. It wi... | 1,602 | 1,608 | 1,608 | NONE | null | Hello, I am trying to compute the CrossEntropyLoss directly by using this code:
```
loss_fct = CrossEntropyLoss()
mc_loss = loss_fct(reshaped_logits, mc_labels)
```
If the reshaped_logits contain the logit values before softmax, should I apply `nn.softmax` function before I do `loss_fct(reshaped_logits, mc_labels)... | {
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https://api.github.com/repos/huggingface/transformers/issues/7826 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7826/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7826/comments | https://api.github.com/repos/huggingface/transformers/issues/7826/events | https://github.com/huggingface/transformers/pull/7826 | 722,514,395 | MDExOlB1bGxSZXF1ZXN0NTA0MjUyMjQ5 | 7,826 | [Pipelines] Fix links to model lists | {
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https://api.github.com/repos/huggingface/transformers/issues/7825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7825/comments | https://api.github.com/repos/huggingface/transformers/issues/7825/events | https://github.com/huggingface/transformers/issues/7825 | 722,509,170 | MDU6SXNzdWU3MjI1MDkxNzA= | 7,825 | RFC: Move `_NoLayerEmbedTokens` to modeling_tf_utils.py | {
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"`TFSharedEmbeddings` is in `modeling_tf_utils.py`\r\nThis seems similar.",
"I'm fine with moving this into `modeling_tf_utils.py`"
] | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | It has 0 computation and will be needed in many places. Here is the code:
```python
class _NoLayerEmbedTokens:
"""
this class wraps a the TFSharedEmbeddingTokens layer into a python 'no-keras-layer'
class to avoid problem with weight restoring. Also it makes sure that the layer is
called from ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7824/comments | https://api.github.com/repos/huggingface/transformers/issues/7824/events | https://github.com/huggingface/transformers/issues/7824 | 722,496,085 | MDU6SXNzdWU3MjI0OTYwODU= | 7,824 | Bart Caching: do we need encoder outputs after step 1? | {
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"Very good point! But I'm actually not sure if the memory consumption of `num_layers * cached k, v states` already makes memory consumption of `encoder_outputs` negligible. Would be cool to try out.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if n... | 1,602 | 1,609 | 1,609 | CONTRIBUTOR | null | since projected cross attention k,v are cached, this doesn't seem like it's actually needed.
Maybe we could save some mem if we deleted them after we were done. | {
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https://api.github.com/repos/huggingface/transformers/issues/7823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7823/comments | https://api.github.com/repos/huggingface/transformers/issues/7823/events | https://github.com/huggingface/transformers/issues/7823 | 722,477,156 | MDU6SXNzdWU3MjI0NzcxNTY= | 7,823 | Support for custom data_collator in Trainer.train() with datasets.Dataset | {
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"Just set `remove_unused_columns=False` in your `TrainingArguments` to disable that behavior.",
"Great, I completely missed that! Thanks."
] | 1,602 | 1,602 | 1,602 | 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. -->
Currently (transformers==3.3.1) Trainer removes unknown columns (not present in forward method of a model) from datasets.Dataset object. It prevents using cust... | {
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https://api.github.com/repos/huggingface/transformers/issues/7822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7822/comments | https://api.github.com/repos/huggingface/transformers/issues/7822/events | https://github.com/huggingface/transformers/issues/7822 | 722,475,538 | MDU6SXNzdWU3MjI0NzU1Mzg= | 7,822 | [testing] test_modeling_deberta.py is failing | {
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"Good to know that this we need to update this code for version 1.8.0. Thanks!",
"Ah, right, I didn't notice that it was nightly specific - if I'm not mistaken this is really for 1.7 I think - it's hard to tell though.",
"Ah, possible! I will take a look :)",
"Was fixed in https://github.com/huggingface/trans... | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | ```
USE_CUDA=1 pytest tests/test_modeling_deberta.py
```
```
====================================================================== test session starts =======================================================================
platform linux -- Python 3.8.5, pytest-6.0.1, py-1.9.0, pluggy-0.13.1
rootdir: /mnt/nvme... | {
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