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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7221?src=pr&el=h1) Report\n> Merging [#7221](https://codecov.io/gh/huggingface/transformers/pull/7221?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/edbaad2c5c94b88cc21b349a403e886bd0b2f156?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Tweaks to the cards to make them fix the evolving requirements.
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7220?src=pr&el=h1) Report\n> Merging [#7220](https://codecov.io/gh/huggingface/transformers/pull/7220?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/51c4adf54c4183f8eec25665b15456262a48f827?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7217
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7219?src=pr&el=h1) Report\n> Merging [#7219](https://codecov.io/gh/huggingface/transformers/pull/7219?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7a88ed6c2a740c45cafb2009a124ba056506d6a1?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | This PR proposes some tooling to automatically check copied code from one of the files in transformers to another is consistent with the original. To showcase an example, it uses `modeling_roberta.py` where I copied all code from `modeling_bert.py` instead of importing the `BertModel` (as a result only activations are ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7218 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7218/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7218/comments | https://api.github.com/repos/huggingface/transformers/issues/7218/events | https://github.com/huggingface/transformers/pull/7218 | 703,870,732 | MDExOlB1bGxSZXF1ZXN0NDg4ODk5NDc0 | 7,218 | [model cards] fix metadata - 3rd attempt | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7218?src=pr&el=h1) Report\n> Merging [#7218](https://codecov.io/gh/huggingface/transformers/pull/7218?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/51c4adf54c4183f8eec25665b15456262a48f827?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Kindly one more attempt
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"Thank you for the heads up, @sshleifer \r\n\r\nI'm not able to reproduce those, but let's first thing first let's skip them so that CI is not affected. \r\nhttps://github.com/huggingface/transformers/pull/7220\r\nI will investigate and we can try to enable them again later.",
"I've found some other tests failing... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/runs/1130127719?check_suite_focus=true
I'm not sure whether these are spurious, but I wanted to bring them to your attention @stas00 . | {
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https://api.github.com/repos/huggingface/transformers/issues/7215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7215/comments | https://api.github.com/repos/huggingface/transformers/issues/7215/events | https://github.com/huggingface/transformers/issues/7215 | 703,820,180 | MDU6SXNzdWU3MDM4MjAxODA= | 7,215 | Links seem to be expired for German NER example | {
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"@stefan-it might know what's up!",
"Oh, I think this PR should fix it:\r\n\r\nhttps://github.com/huggingface/transformers/pull/6571\r\n\r\nI will resolve some merge conflicts, then it should be ready to merge!",
"Updated, it should work now :+1: \r\n\r\n@Santosh-Gupta Please try to use the new urls for the Ger... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | There is a German Ner example here
https://github.com/huggingface/transformers/tree/master/examples/token-classification
It seems that the links for the training data are no longer working
```
curl -L 'https://sites.google.com/site/germeval2014ner/data/NER-de-train.tsv?attredirects=0&d=1' \
| grep -v "^#" | ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7214/comments | https://api.github.com/repos/huggingface/transformers/issues/7214/events | https://github.com/huggingface/transformers/issues/7214 | 703,803,947 | MDU6SXNzdWU3MDM4MDM5NDc= | 7,214 | Does the default weight_decay of 0.0 in transformers.AdamW make sense? | {
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"Too bad you didn't get an answer on SO. I think you would multiply your chances of getting a good answer if you asked it over at https://discuss.huggingface.co!",
"Sure, I will ask there. Thank you!",
"I use weight decay and not use weight and surprisingly find that they are the same, why?"
] | 1,600 | 1,617 | 1,600 | NONE | null | # ❓ Questions & Help
## Details
Hi,
I tried to ask in SO before, but apparently the question seems to be irrelevant. Anyways, here it is:
In the [Docs](https://huggingface.co/transformers/main_classes/optimizer_schedules.html#transformers.AdamW) we can clearly see that the AdamW optimizer sets the default wei... | {
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"Hello,\r\n\r\nThank you for solution.\r\n\r\nI just think the change will only return the cross-attention scores for the first layer of the decoder, since len(layer_outputs) will be bigger than 5 only in that case, (because has_relative_attention_bias will be true for i=0 and length of layer_outputs will be 6.)\r\... | 1,600 | 1,619 | 1,619 | CONTRIBUTOR | null | Small change to the PyTorch and TF models to support returning cross-attention alignment scores. Previously it would only return self-attention alignment scores. This should solve the problem mentioned here: https://discuss.huggingface.co/t/how-to-get-cross-attention-values-of-t5/970
The code in this PR checks to se... | {
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Fixes #{issue number}
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Otherwise it seems good to go! | {
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Fixes #{issue number}
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7209?src=pr&el=h1) Report\n> Merging [#7209](https://codecov.io/gh/huggingface/transformers/pull/7209?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e643a297228c8cb2c189fe4c93e11125f938d20b?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7208 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7208/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7208/comments | https://api.github.com/repos/huggingface/transformers/issues/7208/events | https://github.com/huggingface/transformers/issues/7208 | 703,755,004 | MDU6SXNzdWU3MDM3NTUwMDQ= | 7,208 | [model cards] yaml specs and related questions | {
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"Addressed in https://github.com/huggingface/model_card/pull/3 so closing this one."
] | 1,600 | 1,602 | 1,602 | CONTRIBUTOR | null | Is it possible to write a spec for how model cards should declare languages when it's more than one?
I sorted it out:
```
language:
- ru
- en
```
could we add this somewhere?
I tried this https://github.com/huggingface/model_card/pull/2 - definitely easier to mimic, but perhaps not ideal.
------------
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- Correct link in a comment that links to all fsmt models | {
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"Unstale - would be great to have some of these resolved.",
"This issue has been automatically marked as stale because it has not had ... | 1,600 | 1,616 | 1,616 | CONTRIBUTOR | null | @sshleifer showed me a secret API to finding all fsmt models: https://huggingface.co/models?filter=fsmt
I have several why/how questions:
1. Why can't I do the same from the models page? Where does a user find access to the `filter=` key? It's the `Tags` dropdown, but there is no way to choose the tag I want - `f... | {
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Fixes #{issue number}
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Fixes #{issue number}
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7202?src=pr&el=h1) Report\n> Merging [#7202](https://codecov.io/gh/huggingface/transformers/pull/7202?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0203ad43bcd0b29423dec6ca1a58ed58300f0d61?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | - Moved transformers package import statements to relative imports in some files as in https://github.com/huggingface/transformers/pull/5796
- Added python prompt symbols in front of the example codes as in most of the codebase
This is a resubmitted version of https://github.com/huggingface/transformers/pull/7188; ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7201 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7201/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7201/comments | https://api.github.com/repos/huggingface/transformers/issues/7201/events | https://github.com/huggingface/transformers/pull/7201 | 703,427,646 | MDExOlB1bGxSZXF1ZXN0NDg4NTM3NDQx | 7,201 | added multilabel text classification notebook using distilbert to community notebooks | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7201?src=pr&el=h1) Report\n> Merging [#7201](https://codecov.io/gh/huggingface/transformers/pull/7201?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/45b0b1ff2f28d83c734b7505e1705b799ce2ff84?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7200/comments | https://api.github.com/repos/huggingface/transformers/issues/7200/events | https://github.com/huggingface/transformers/pull/7200 | 703,399,271 | MDExOlB1bGxSZXF1ZXN0NDg4NTE0MDgy | 7,200 | [RAG] PR to save status of previous RAG code | {
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Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7199 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7199/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7199/comments | https://api.github.com/repos/huggingface/transformers/issues/7199/events | https://github.com/huggingface/transformers/issues/7199 | 703,379,328 | MDU6SXNzdWU3MDMzNzkzMjg= | 7,199 | Why does RoBERTa not label custom tokens as special tokens? | {
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"Hi! That's a very detailed issue, very cool! Thanks for providing so much information. I believe you have a misconception about how to use `add_special_tokens` and how the special token mask is created.\r\n\r\n## Adding special tokens\r\n\r\nFirstly, if you use the `add_special_tokens=True` flag, that means you ex... | 1,600 | 1,661 | 1,600 | 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/7198 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7198/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7198/comments | https://api.github.com/repos/huggingface/transformers/issues/7198/events | https://github.com/huggingface/transformers/issues/7198 | 703,234,070 | MDU6SXNzdWU3MDMyMzQwNzA= | 7,198 | how to continue training from a checkpoint with Trainer? | {
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"Hi there, you have to pass the checkpoint path to the method `Trainer.train` to resume training:\r\n```\r\ntrainer.train(\"checkpoint-9500\")\r\n```\r\nIf you set your logging verbosity to the INFO level (`transformers.logging.set_verbosity_info()`) you should then see information about the training resuming and t... | 1,600 | 1,699 | 1,600 | NONE | null | # ❓ Questions & Help
## Details
I am trying to continue training my model (gpt-2) from a checkpoint, using Trainer. However when I try to do it the model starts training from 0, not from the checkpoint. I share my code because I don't know where I'm making the mistake.
```
import torch
device = torch.devic... | {
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https://api.github.com/repos/huggingface/transformers/issues/7197 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7197/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7197/comments | https://api.github.com/repos/huggingface/transformers/issues/7197/events | https://github.com/huggingface/transformers/issues/7197 | 703,221,117 | MDU6SXNzdWU3MDMyMjExMTc= | 7,197 | [s2s]add wandb summary metric that tracks best val bleu/rouge | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | right now, wandb just shows the last value, not the best value (associated with the checkpoint).
So if you overtrained something you can't see that it was good on the wandb page.
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https://api.github.com/repos/huggingface/transformers/issues/7196 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7196/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7196/comments | https://api.github.com/repos/huggingface/transformers/issues/7196/events | https://github.com/huggingface/transformers/pull/7196 | 703,205,121 | MDExOlB1bGxSZXF1ZXN0NDg4MzUzOTgx | 7,196 | [s2s] fix kwarg typo | {
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https://api.github.com/repos/huggingface/transformers/issues/7195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7195/comments | https://api.github.com/repos/huggingface/transformers/issues/7195/events | https://github.com/huggingface/transformers/issues/7195 | 703,197,136 | MDU6SXNzdWU3MDMxOTcxMzY= | 7,195 | GPT2 Heatmap Error: 'Parameter' object has no attribute 'get_shape' | {
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"As the error says, `get_shape` does not exist in PyTorch parameters. Use `[...].shape` instead of `[...].get_shape()`."
] | 1,600 | 1,600 | 1,600 | NONE | null | ```
import numpy as np
import tensorflow as tf
def compute_textual_saliency(model, embedding_matrix, tokenizer, text):
token_ids = tokenizer.encode(text, add_special_tokens=True)
vocab_size = embedding_matrix.get_shape()[0]
heatmap_data = []
for masked_token_index in range(len(token_ids)):
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7194 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7194/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7194/comments | https://api.github.com/repos/huggingface/transformers/issues/7194/events | https://github.com/huggingface/transformers/pull/7194 | 703,185,894 | MDExOlB1bGxSZXF1ZXN0NDg4MzM4NTE5 | 7,194 | examples/seq2seq/__init__.py mutates sys.path | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7194?src=pr&el=h1) Report\n> Merging [#7194](https://codecov.io/gh/huggingface/transformers/pull/7194?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4f6e52574248636352a746cfe6cc0b13cf3eb7f9?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | (**edit**: the PR went through a change - i updated the description here).
Fixes part of the issue raised here: https://github.com/huggingface/transformers/pull/7109#issuecomment-693213029
This PR replaces the hack of retrying to import modules via `foo` and if failed via `.foo` depending on where the test is inv... | {
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https://api.github.com/repos/huggingface/transformers/issues/7193 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7193/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7193/comments | https://api.github.com/repos/huggingface/transformers/issues/7193/events | https://github.com/huggingface/transformers/pull/7193 | 703,176,217 | MDExOlB1bGxSZXF1ZXN0NDg4MzMwNjUw | 7,193 | Add bos and eos to gpt2 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"
] | 1,600 | 1,606 | 1,606 | NONE | null | Fix https://github.com/huggingface/transformers/issues/3311
Test:
```
tokenizer = GPT2Tokenizer.from_pretrained('gpt2-medium')
tokenizer.add_special_tokens({'pad_token': '<pad>'})
inputs = tokenizer.batch_encode_plus(["My cute dog", "My cute dog is is"], add_special_tokens=True, padding=True, return_tensors="pt"... | {
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https://api.github.com/repos/huggingface/transformers/issues/7192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7192/comments | https://api.github.com/repos/huggingface/transformers/issues/7192/events | https://github.com/huggingface/transformers/pull/7192 | 703,174,386 | MDExOlB1bGxSZXF1ZXN0NDg4MzI5MTMx | 7,192 | [s2s] run_eval/run_eval_search tweaks | {
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"sadly I think `pytest.param` was needed or each entry needs to be a list or something:\r\n\r\nhttps://circle-production-customer-artifacts.s3.amazonaws.com/picard/forks/5bdabdd888af1f000130874a/278214696/5f62bdadb33de21283aa7519-0-build/artifacts/test_output.txt?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200917... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | working with @sshleifer on making run_eval/run_eval_search and tests better.
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7191?src=pr&el=h1) Report\n> Merging [#7191](https://codecov.io/gh/huggingface/transformers/pull/7191?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3babef815c5372d039202b2247a4ed6afb2a410a?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | This is a follow-up from #7126. The same kinds of models that can output multiple predictions expect multiple labels (not named "labels") so the evaluation code needs to be changed for this. To support models built by users, I added a `label_names` field in the `TrainingArguments` which contain the label names. It then... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7190?src=pr&el=h1) Report\n> Merging [#7190](https://codecov.io/gh/huggingface/transformers/pull/7190?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0203ad43bcd0b29423dec6ca1a58ed58300f0d61?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | fill-in the missing info for the build script as provided by the searcher.
(this is also an experiment in re-using the branch for a follow up PR, it shows the old commits that have been merged already, but the diff is new. not sure if there is a better way.) | {
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"The base models for all architectures are not usable with `Trainer` since they don't have a training objective. You need to pick the model class adapted to your task.",
"> The base models for all architectures are not usable with `Trainer` since they don't have a training objective. You need to pick the model cl... | 1,600 | 1,606 | 1,606 | NONE | null | @sgugger
@patrickvonplaten
## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: True
- Using distributed or... | {
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"Hello, thank you for the review!\r\n\r\nNow the PR passes all the tests, but I think I messed up many commits by using a wrong version of style libraries.\r\n\r\nWould it be okay to close and resubmit this PR? (https://github.com/huggingface/transformers/pull/7202)",
"# [Codecov](https://codecov.io/gh/huggingfac... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | - Moved transformers package import statements to relative imports in some files as in https://github.com/huggingface/transformers/pull/5796
- Added python prompt symbols in front of the example codes as in most of the codebase | {
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] | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7170
### TODO
- test
- finish instructions
- modify ray_tune_cli to not hardcode all possible lightning args.
- probably more things
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"cc @stas00 "
] | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Fixes #7176
- [x] Fix determinism issue caused by hardcoding num_beams
- [x] local_rank 0 logging
- [x] local_rank 0 tqdm
- [x] same results as `run_eval.py`
- [x] deeper investigation of non-determinism. Gens the same. Labels different?
- [x] save json to one line.
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7182?src=pr&el=h1) Report\n> Merging [#7182](https://codecov.io/gh/huggingface/transformers/pull/7182?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3babef815c5372d039202b2247a4ed6afb2a410a?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Create README.md for indobert-lite-base-p1 | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7181?src=pr&el=h1) Report\n> Merging [#7181](https://codecov.io/gh/huggingface/transformers/pull/7181?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3babef815c5372d039202b2247a4ed6afb2a410a?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Create README.md for indobert-large-p2 model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7180?src=pr&el=h1) Report\n> Merging [#7180](https://codecov.io/gh/huggingface/transformers/pull/7180?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3babef815c5372d039202b2247a4ed6afb2a410a?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Create README.md for indobert-large-p1 model card | {
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https://api.github.com/repos/huggingface/transformers/issues/7177 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7177/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7177/comments | https://api.github.com/repos/huggingface/transformers/issues/7177/events | https://github.com/huggingface/transformers/issues/7177 | 702,986,106 | MDU6SXNzdWU3MDI5ODYxMDY= | 7,177 | RuntimeError: CUDA out of memory. | {
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"Found solution:\r\n --per_gpu_train_batch_size=1 \\\r\nI will be closing this issue now, thank you so much!\r\nSorry for the trouble!"
] | 1,600 | 1,600 | 1,600 | NONE | null | I'm trying to run run_language_modeling.py and fine-tune the GPT-2 model with my own text dataset with the following command:
%%bash
export TRAIN_FILE=Models/Data/train.txt
export TEST_FILE=Models/Data/valid.txt
export MODEL_NAME=gpt2
export OUTPUT_DIR=output
python run_language_modeling.py \
--output_dir=... | {
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https://api.github.com/repos/huggingface/transformers/issues/7176 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7176/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7176/comments | https://api.github.com/repos/huggingface/transformers/issues/7176/events | https://github.com/huggingface/transformers/issues/7176 | 702,955,667 | MDU6SXNzdWU3MDI5NTU2Njc= | 7,176 | distributed eval cleanup | {
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- [x] local_rank 0 tqdm
- [x] same scores as `run_eval.py`
- [x] deeper investigation of non-determinism. Gens the same. Labels different?
- [x] save json to one line. | {
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https://api.github.com/repos/huggingface/transformers/issues/7175 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7175/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7175/comments | https://api.github.com/repos/huggingface/transformers/issues/7175/events | https://github.com/huggingface/transformers/pull/7175 | 702,952,003 | MDExOlB1bGxSZXF1ZXN0NDg4MTQ0MTU1 | 7,175 | Fix a few countings (steps / epochs) in trainer_tf.py | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7175?src=pr&el=h1) Report\n> Merging [#7175](https://codecov.io/gh/huggingface/transformers/pull/7175?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/df165065c37329880f490025972f81b4daa6e5bd?el=desc) will **increase... | 1,600 | 1,651 | 1,600 | COLLABORATOR | null | Mainly for @jplu , but @sgugger might have some comments, especially for issue 2.
## Description
This PR fixes a few countings (steps / epochs) in [trainer_tf.py](https://github.com/huggingface/transformers/blob/master/src/transformers/trainer_tf.py).
Since these issues are tight together, I decided to fix the... | {
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https://api.github.com/repos/huggingface/transformers/issues/7174 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7174/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7174/comments | https://api.github.com/repos/huggingface/transformers/issues/7174/events | https://github.com/huggingface/transformers/pull/7174 | 702,948,815 | MDExOlB1bGxSZXF1ZXN0NDg4MTQxNTgz | 7,174 | use the correct add_start_docstrings | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7174?src=pr&el=h1) Report\n> Merging [#7174](https://codecov.io/gh/huggingface/transformers/pull/7174?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/df165065c37329880f490025972f81b4daa6e5bd?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | As discussed at https://github.com/huggingface/transformers/pull/6940#discussion_r489266992
fixing to use the correct decorator add_start_docstrings
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/7172 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7172/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7172/comments | https://api.github.com/repos/huggingface/transformers/issues/7172/events | https://github.com/huggingface/transformers/issues/7172 | 702,944,173 | MDU6SXNzdWU3MDI5NDQxNzM= | 7,172 | Bug in finetuning ALBERT on text-classification in GLUE | {
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"I have the same problem, if you have solved, cound you tell me how? thx!"
] | 1,600 | 1,601 | 1,600 | NONE | null | Thanks for your beautiful work!
I use transformers-3.1.0, and when I run `run_glue.py` in `examples/text-classification/`, it return a bug info,
```
Traceback (most recent call last):
File "run_glue.py", line 246, in <module>
main()
File "run_glue.py", line 127, in main
cache_dir=model_args.cache_... | {
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https://api.github.com/repos/huggingface/transformers/issues/7171 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7171/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7171/comments | https://api.github.com/repos/huggingface/transformers/issues/7171/events | https://github.com/huggingface/transformers/pull/7171 | 702,932,994 | MDExOlB1bGxSZXF1ZXN0NDg4MTI4NDM1 | 7,171 | remove deprecated flag | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7171?src=pr&el=h1) Report\n> Merging [#7171](https://codecov.io/gh/huggingface/transformers/pull/7171?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/df165065c37329880f490025972f81b4daa6e5bd?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | ```
/home/circleci/.local/lib/python3.6/site-packages/isort/main.py:915: UserWarning: W0501:
The following deprecated CLI flags were used and ignored: --recursive!
"W0501: The following deprecated CLI flags were used and ignored: "
```
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https://api.github.com/repos/huggingface/transformers/issues/7170 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7170/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7170/comments | https://api.github.com/repos/huggingface/transformers/issues/7170/events | https://github.com/huggingface/transformers/issues/7170 | 702,906,189 | MDU6SXNzdWU3MDI5MDYxODk= | 7,170 | [s2s] Try to get ray/optuna + examples/seq2seq working | {
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"It works on a branch, will cleanup+share shortly!",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | I tried for 2h and failed.
My initial attempt just hangs (I put it at `examples/seq2seq/run_ray_tune.py`)
```python
from ray.tune.schedulers import ASHAScheduler, PopulationBasedTraining
from ray import tune
from ray.tune import CLIReporter
from ray.tune.schedulers import ASHAScheduler, PopulationBasedTraining
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7169 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7169/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7169/comments | https://api.github.com/repos/huggingface/transformers/issues/7169/events | https://github.com/huggingface/transformers/issues/7169 | 702,898,102 | MDU6SXNzdWU3MDI4OTgxMDI= | 7,169 | BERT Trainer.train() CUDA out of memory error | {
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"Haven’t we fixed a memory leak on master recently?",
"Yes we did, though this might be a different problem.\r\n\r\nTo make sure, can you please check if you have the bug with an install from source?",
"@sgugger yeah, I'm installing from source (not sure why the script yielded 3.0.2)",
"I encountered the prob... | 1,600 | 1,642 | 1,606 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-5.3.0
- Python version: 3.6.10
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: Distributed
### Who can help
@LysandreJik, @sg... | {
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https://api.github.com/repos/huggingface/transformers/issues/7168 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7168/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7168/comments | https://api.github.com/repos/huggingface/transformers/issues/7168/events | https://github.com/huggingface/transformers/issues/7168 | 702,846,934 | MDU6SXNzdWU3MDI4NDY5MzQ= | 7,168 | DistilBERT for token classification (pytorch) predicts wrong classes for <PAD> tokens | {
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"The [PAD] tokens are not used for loss calculation if I remembered correctly, and therefore its predictions has no meaning. You should just ignore the [PAD] tokens results.\r\n\r\nPut [PAD] tokens into loss calculation will make the model biased toward [PAD] tokens, which is undesirable."
] | 1,600 | 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: 3.1.0
- Platform: Linux-5.4.0-47-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.4
- PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/7167 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7167/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7167/comments | https://api.github.com/repos/huggingface/transformers/issues/7167/events | https://github.com/huggingface/transformers/issues/7167 | 702,714,208 | MDU6SXNzdWU3MDI3MTQyMDg= | 7,167 | weights partially missing for CamembertForMaskedLM | {
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"Hi @raphael0202 , we converted the fairseq checkpoints using [this script](https://github.com/huggingface/transformers/blob/master/src/transformers/convert_roberta_original_pytorch_checkpoint_to_pytorch.py), maybe the language model head was not transfered during the conversion. \r\nYou can either use the model in... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Darwin-18.7.0-x86_64-i386-64bit
- Python version: 3.7.5
- 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 help
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7166 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7166/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7166/comments | https://api.github.com/repos/huggingface/transformers/issues/7166/events | https://github.com/huggingface/transformers/pull/7166 | 702,634,646 | MDExOlB1bGxSZXF1ZXN0NDg3ODc4ODMz | 7,166 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7166?src=pr&el=h1) Report\n> Merging [#7166](https://codecov.io/gh/huggingface/transformers/pull/7166?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/85ffda96fcadf70d2558ba0a59c84b9f5a2d6f0f?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7165 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7165/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7165/comments | https://api.github.com/repos/huggingface/transformers/issues/7165/events | https://github.com/huggingface/transformers/issues/7165 | 702,623,015 | MDU6SXNzdWU3MDI2MjMwMTU= | 7,165 | __init__() got an unexpected keyword argument 'cache_dir' | {
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"Do you have a link to the colab?",
"I was following the tutorial by Joey S and tried to include my own dataset instead. This is the notebook that he has provided:\r\nhttps://colab.research.google.com/drive/1odn0VHb4SmQnUqtOwK6XQTLpoTSbneCf?usp=sharing\r\n\r\nThe notebook he provided already has the error.\r\nTha... | 1,600 | 1,600 | 1,600 | NONE | null | After reviewing issue #7006 and following the steps (updating Transformers to the latest version or even the 3.1.0 branch), I still get the error:
TypeError: init() got an unexpected keyword argument 'cache_dir'
when running the latest version for transformers (3.1.0).
I'm also running on Colab environment:
Command... | {
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https://api.github.com/repos/huggingface/transformers/issues/7164 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7164/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7164/comments | https://api.github.com/repos/huggingface/transformers/issues/7164/events | https://github.com/huggingface/transformers/issues/7164 | 702,583,139 | MDU6SXNzdWU3MDI1ODMxMzk= | 7,164 | tf.keras.models.load_model() does not load saved model that includes TFOpenAIGPTLMHeadModel layer | {
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"I tried the resolution in #3627, but the output shape changed from 13088 to 768",
"@jplu might be interested in this.",
"I cannot really test because I don't have your `trans_model` but as far as I can say it is not working because you are using the high level API (with Keras) to create a saved_model. For mode... | 1,600 | 1,614 | 1,614 | NONE | null | - `transformers` version: 3.1.0
- Platform: linux
- Python version: 3
- Tensorflow version: 2.3.0
## To reproduce
Steps to reproduce the behavior:
1. Load the model with TFOpenAIGPTLMHeadModel
2. Add input layers
3. save the model
4. Load saved model
```python
from transformers import TFOpenAIGPTLMHe... | {
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https://api.github.com/repos/huggingface/transformers/issues/7163 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7163/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7163/comments | https://api.github.com/repos/huggingface/transformers/issues/7163/events | https://github.com/huggingface/transformers/issues/7163 | 702,553,868 | MDU6SXNzdWU3MDI1NTM4Njg= | 7,163 | Pegasus- Arxiv predicts random text | {
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"Seems to be a problem with the 'google/pegasus-arxiv' model, when you use 'google/pegasus-xsum' you get:\r\n`Harry Potter and the Philosopher’s Stone is the seventh and final book in JK Rowling’s Harry Potter series.`\r\nas output",
"Yes I tried different pegasus models (including alot of other models) and pegas... | 1,600 | 1,602 | 1,602 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-5.4.0-47-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.9
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no... | {
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https://api.github.com/repos/huggingface/transformers/issues/7162 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7162/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7162/comments | https://api.github.com/repos/huggingface/transformers/issues/7162/events | https://github.com/huggingface/transformers/issues/7162 | 702,518,042 | MDU6SXNzdWU3MDI1MTgwNDI= | 7,162 | Create larger summaries by using Summarization models like T5 or Pegasus | {
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"Pinging the summarization expert here @sshleifer ",
"Can we move [here](https://discuss.huggingface.co/t/summarization-on-long-documents/920/5)\r\n\r\nI am super happy to help, but want to help everybody at the same time. @ibeltagy is working hard on summarizing longer docs, but besides his efforts we don't have... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Hi,
I want to create summaries of book-reviews, which should be about half the size of the original text corpus.
My goal is to compare how well the summaries are created and if the important content of the original texts are taken over.
For this I just had a look at different models and saw, that the models have a v... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7161?src=pr&el=h1) Report\n> Merging [#7161](https://codecov.io/gh/huggingface/transformers/pull/7161?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/85ffda96fcadf70d2558ba0a59c84b9f5a2d6f0f?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR proposes a simple fix for an issue in `DataCollatorForNextSentencePrediction` that occurs when a document chosen at random for Token B for the NSP job turns out to be an empty document. The issue that occurs in this case shows up here, where we look for a random starting place to start Token B.
https://githu... | {
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https://api.github.com/repos/huggingface/transformers/issues/7160 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7160/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7160/comments | https://api.github.com/repos/huggingface/transformers/issues/7160/events | https://github.com/huggingface/transformers/issues/7160 | 702,489,128 | MDU6SXNzdWU3MDI0ODkxMjg= | 7,160 | distributed launch raise Error | {
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"Hey @xixiaoyao,\r\n\r\nCould you please copy paste the command you used to run squad so that I can be 100% sure we are running the same command? How did you enable `gradient_checkpointing` ? Did you change the `run_squad.py` script? \r\n\r\nWould be great if you can copy-paste a runnable code snippet here :-) ",
... | 1,600 | 1,648 | 1,614 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.6.5
- Tensorflow version (GPU?):
... | {
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"Hey @xixiaoyao, the main gain is memory savings for longformer - so I'm not really surprised if you say that training speed does not change when halving the attention window...",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity oc... | 1,600 | 1,606 | 1,606 | NONE | null | # ❓ Questions & Help
According to the Longformer's design, it should be sensitive for training speed and memory consuming when the local window size is changed. However, I find nothing happened when I half the attention window size (from [512]*12 to [256]*12). Is this phenomenon under expectations? or there is somet... | {
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"We know there is a limitation on the size of dataset for evaluation/prediction because every tensors are concatenated together (this is necessary for distributed training). We plan to work on it using the work done in the `datasets` library to have the predictions cached in temporary files as the prediction loop g... | 1,600 | 1,647 | 1,606 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.1.0
- Platform: Ubuntu 20.04
- Python version: Python 3.8.2
- PyTorch version (GPU?): 1.5.1
- Tensor... | {
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"I opened a wrong PR yesterday, please help me check this version, thanks!\r\n@JetRunner @patrickvonplaten ",
"@qiweizhen - this looks great! Is this the complete PR? Can we close the \"old\" PR: https://github.com/huggingface/transformers/pull/6187 in favor of this one? ",
"@qiweizhen the Integration tests loo... | 1,600 | 1,603 | 1,603 | CONTRIBUTOR | null | # Add [ProphetNet](https://arxiv.org/abs/2001.04063).
This PR implements both ProphetNet and XLM-ProphetNet. The model architectures are identical, but each model uses a different tokenizer.
## Description:
ProphetNet is a new pre-trained language model for sequence-to-sequence learning with a novel self-super... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7156?src=pr&el=h1) Report\n> Merging [#7156](https://codecov.io/gh/huggingface/transformers/pull/7156?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/85ffda96fcadf70d2558ba0a59c84b9f5a2d6f0f?el=desc) will **increase... | 1,600 | 1,603 | 1,600 | CONTRIBUTOR | null | Fixed some issues, plus documented `@pytest.mark.parametrize` which is used extensively in the `examples` tests.
@sgugger
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7155?src=pr&el=h1) Report\n> Merging [#7155](https://codecov.io/gh/huggingface/transformers/pull/7155?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/85ffda96fcadf70d2558ba0a59c84b9f5a2d6f0f?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Here are the various build/eval/gen scripts used for fsmt. We will use them in the future should any updates/corrections need to be done.
They are also a great starter for porting other similar architectures.
Fixes #7092
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"Hi! As you've mentioned, this would break backwards compatibility which is not something we're willing to do for a name change. Furthermore, these values are named as such to be the same as the original implementation, therefore these will not be changed.\r\n\r\nThank you for opening an issue!"
] | 1,600 | 1,600 | 1,600 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.0.2 (N/A)
### Who can help
@LysandreJik
## Information
This isn't exactly a bug, but more ... | {
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These are models ported from https://github.com/jungokasai/deep-shallow/
The models are already on s3 under `allenai` - thank you for moving those from my username, @sshleifer.
And added 2 more models from... | {
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https://api.github.com/repos/huggingface/transformers/issues/7152 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7152/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7152/comments | https://api.github.com/repos/huggingface/transformers/issues/7152/events | https://github.com/huggingface/transformers/issues/7152 | 702,139,883 | MDU6SXNzdWU3MDIxMzk4ODM= | 7,152 | Gradient checkpointing for GPT-2 | {
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"Did you run into the issue of imbalanced GPU usage? I have been trying to fine-tune the gpt2-xl model myself on two Titan RTX GPUs (24 GB RAM each) but the imbalanced GPU usage seems to be the main culprit to me. Not sure if gpt2-xl would fit even if I wasn't facing this issue. Why don't they provide some details ... | 1,600 | 1,608 | 1,608 | NONE | null | # 🚀 Feature request
Gradient checkpointing for GPT-2 would be very useful especially for the larger models in the GPT-2 family. I tried to train the largest release, i.e. "gpt2-xl", on AWS's p3dn.24xlarge instance (has 8 V100 GPUs with 32 GB VRAM on each) with no success. Even making the batch size 1 and using mixe... | {
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The current warning message shows the length of the first input_ids, which can be incorrect when a pair is being encoded an... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7150?src=pr&el=h1) Report\n> Merging [#7150](https://codecov.io/gh/huggingface/transformers/pull/7150?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/52d250f6aa14844024806e5e4dd1c7882bbd8dd5?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR groups all the TF activations functions into a common file like it is done in the PT part.
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https://api.github.com/repos/huggingface/transformers/issues/7149 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7149/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7149/comments | https://api.github.com/repos/huggingface/transformers/issues/7149/events | https://github.com/huggingface/transformers/pull/7149 | 702,005,793 | MDExOlB1bGxSZXF1ZXN0NDg3MzU3Nzgw | 7,149 | Ignore me! | {
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"Sorry for the mess-up, was working on a fork of mine (facepalm) and accidentally PR to the repo.",
"No worries – but potentially open to a PR adding Azure logging if it makes sense on your end!",
"Hi @julien-c , thanks for pointing that out!\r\n\r\nI am running `transformers` on AzureML (finetuning on classifi... | 1,600 | 1,603 | 1,600 | CONTRIBUTOR | null | I did this PR by mistake, and found out late. Sorry Hugging Face! | {
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"Hi Patrick, I think @qiweizhen added the integration test. should we take from here?",
"yes! That sounds great :-) Thanks a lot @qiweizhen :-) "
] | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | prophetnet modified
modify codes as suggested v1
add prophetnet test files
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7147?src=pr&el=h1) Report\n> Merging [#7147](https://codecov.io/gh/huggingface/transformers/pull/7147?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/52d250f6aa14844024806e5e4dd1c7882bbd8dd5?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | Add the model cards for the 10 Funnel Transformer checkpoints
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https://api.github.com/repos/huggingface/transformers/issues/7146 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7146/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7146/comments | https://api.github.com/repos/huggingface/transformers/issues/7146/events | https://github.com/huggingface/transformers/issues/7146 | 701,939,120 | MDU6SXNzdWU3MDE5MzkxMjA= | 7,146 | Fine tune with local model raised `torch.nn.modules.module.ModuleAttributeError: 'DataParallel' object has no attribute 'config'` | {
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"I haven't used the trainer but I think maybe you just need to change the line `self.total_flos = getattr(model.config, \"total_flos\", 0)` to \r\n\r\n`_model = model.module if hasattr(model, 'module') else model `\r\n`self.total_flos = getattr(_model.config, \"total_flos\", 0)`",
"This is a breaking change that ... | 1,600 | 1,606 | 1,601 | NONE | null | # ❓ Questions & Help
I've fined tune distilgpt2 with `run_language_modeling.py` under my local `output_dir` and want to fine tune with the model in `output_dir` again, but it raised `torch.nn.modules.module.ModuleAttributeError: 'DataParallel' object has no attribute 'config'`.
## Details
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https://api.github.com/repos/huggingface/transformers/issues/7145 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7145/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7145/comments | https://api.github.com/repos/huggingface/transformers/issues/7145/events | https://github.com/huggingface/transformers/issues/7145 | 701,920,604 | MDU6SXNzdWU3MDE5MjA2MDQ= | 7,145 | Load Pre-Trained Model Using Docker | {
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"Are you sure you have internet access on your machine? Can you do `wget https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-medium-config.json`?",
"I have the same issue. The machine on which I am deploying the container to does have internet access, it can download other models from nltk / spacy",
"This ... | 1,600 | 1,607 | 1,607 | 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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"The error might be something else, onnxruntime version 1.4.0 does include the `force_fusions` parameter: \r\n\r\nhttps://github.com/microsoft/onnxruntime/blob/v1.4.0/onnxruntime/python/tools/quantization/quantize.py#L1457",
"Indeed,\r\nmy bad, somehow the notebook used the python 3.8 related onnxruntime package ... | 1,600 | 1,600 | 1,600 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-5.8.0-1-amd64-x86_64-with-debian-bullseye-sid
- Python version: 3.7.8
- 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... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7143?src=pr&el=h1) Report\n> Merging [#7143](https://codecov.io/gh/huggingface/transformers/pull/7143?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e29c3f1b1104694889afcce4f13f8c842d6e0d6b?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Small typo in the `generate` function within `generation_tf_utils.py` | {
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correctly.
This bug was first reported in the fugashi repo [here](https://github.com/polm/fugashi/issues/24). It's not a bug in fugashi - fugashi handles quoted paths correctly, and the relevant dictionary packages quote paths in `MECAB_ARGS` ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7141 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7141/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7141/comments | https://api.github.com/repos/huggingface/transformers/issues/7141/events | https://github.com/huggingface/transformers/pull/7141 | 701,811,008 | MDExOlB1bGxSZXF1ZXN0NDg3MTk4NTg3 | 7,141 | Adding Fast tokenizers for SentencePiece based tokenizers - Breaking: remove Transfo-XL fast tokenizer | {
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"Ready for review, the remaining failing tests should be ok after the next `tokenizers` RC release",
"Great job! I'm not entirely up to date with everything in transformers, but this looks very nice and clean!",
"Ok, yes I'll add documentation. We will probably wait to have a clean documentation in `tokenizers`... | 1,600 | 1,602 | 1,602 | MEMBER | null | This pull request add the "fast" Rust tokenizer for the SentencePiece tokenizers as well.
Based on unreleased v0.9.0 of `tokenizers`.
Tokenizers:
- [x] Albert
- [x] Bart
- [x] Bert
- [x] Camembert
- [x] DistilBert
- [x] DPR
- [x] Electra
- [x] Funnel
- [x] GPT2
- [x] LongFormer
- [x] LXMert
- [x] MBar... | {
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https://api.github.com/repos/huggingface/transformers/issues/7140 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7140/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7140/comments | https://api.github.com/repos/huggingface/transformers/issues/7140/events | https://github.com/huggingface/transformers/issues/7140 | 701,782,360 | MDU6SXNzdWU3MDE3ODIzNjA= | 7,140 | Onnx + TensorRT uses CPU not GPU | {
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"@mfuntowicz - sorry to ping you here :D Do you have a \"high level\" idea why this might not work?",
"@agemagician IIUC TensorRT needs a GPU with Tensor cores to work correctly. You're using a P100 in the notebook which doesn't have those. So Onnx will fall back to using CUDAExecutionProvider. Now that itself ma... | 1,600 | 1,602 | 1,602 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (True)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fi... | {
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https://api.github.com/repos/huggingface/transformers/issues/7139 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7139/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7139/comments | https://api.github.com/repos/huggingface/transformers/issues/7139/events | https://github.com/huggingface/transformers/issues/7139 | 701,772,380 | MDU6SXNzdWU3MDE3NzIzODA= | 7,139 | generate text function support part of the target inputs | {
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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",
"hi, did you solve this problem?"
] | 1,600 | 1,648 | 1,606 | 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. -->
https://pytorch.org/docs/stable/generated/torch.nn.Transformer.html?highlight=transformer#torch.nn.Transformer
in pytorch transformer class, we can see the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7138 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7138/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7138/comments | https://api.github.com/repos/huggingface/transformers/issues/7138/events | https://github.com/huggingface/transformers/issues/7138 | 701,697,006 | MDU6SXNzdWU3MDE2OTcwMDY= | 7,138 | OSError: Can't load weights for 'nlptown/bert-base-multilingual-uncased-sentiment'. | {
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"Hello! This problem is because the owner of the `nlptown/bert-base-multilingual-uncased-sentiment` model has not uploaded a TensorFlow version. If you're using pipelines, you would only be able to use this model if you have PyTorch installed on your machine.\r\n\r\n~cc @mfuntowicz for pipelines' next version, it w... | 1,600 | 1,600 | 1,600 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-5.4.0-47-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.9
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7137 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7137/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7137/comments | https://api.github.com/repos/huggingface/transformers/issues/7137/events | https://github.com/huggingface/transformers/issues/7137 | 701,695,707 | MDU6SXNzdWU3MDE2OTU3MDc= | 7,137 | Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,600 | 1,606 | 1,606 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: ubuntu 18.04
- Python version: 3.7
- PyTorch version (GPU?): 1.5.1
- Tensorflow version (GPU?): 1.14.0
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
## Information
Model I am using: XLM
The problem ar... | {
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https://api.github.com/repos/huggingface/transformers/issues/7136 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7136/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7136/comments | https://api.github.com/repos/huggingface/transformers/issues/7136/events | https://github.com/huggingface/transformers/issues/7136 | 701,682,172 | MDU6SXNzdWU3MDE2ODIxNzI= | 7,136 | BertForMaskedLM Loss function | {
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"torch.nn.CrossEntropyLoss(weight: Optional[torch.Tensor] = None, size_average=None, ignore_index: int = -100, reduce=None, reduction: str = 'mean')"
] | 1,600 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_bert.py
1)In BertForMaskedLM, why the loss function don't ignore the not masked tokens?
loss_fct = CrossEntropyLoss() # -100 index = padding token
masked_lm_loss = loss_fct(prediction_scores.view(-1, self.con... | {
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https://api.github.com/repos/huggingface/transformers/issues/7135 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7135/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7135/comments | https://api.github.com/repos/huggingface/transformers/issues/7135/events | https://github.com/huggingface/transformers/issues/7135 | 701,571,628 | MDU6SXNzdWU3MDE1NzE2Mjg= | 7,135 | Loss mask for fine-tuning GPT2LMHeadModel model | {
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"It has already been mentioned here https://github.com/huggingface/transformers/issues/2001 (see \"Bug: Padded tokens are not excluded from the loss\" session).\r\nAny plan to fix this?",
"Hi GPT-2 has no pad token so you can either introduce new pad token or set the eos toke as pad token\r\n```tokenizer.pad_toke... | 1,600 | 1,678 | 1,600 | NONE | null | If we use padding for short-sentence fine-tune data, when fine-tuning GPT2LMHeadModel, should we change the code here https://github.com/huggingface/transformers/blob/48ff6d5109d691e3630169962a5052586aaaf659/src/transformers/modeling_gpt2.py#L744 to exclude the loss for padding tokens?
@patrickvonplaten @thomwolf | {
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https://api.github.com/repos/huggingface/transformers/issues/7134 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7134/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7134/comments | https://api.github.com/repos/huggingface/transformers/issues/7134/events | https://github.com/huggingface/transformers/issues/7134 | 701,518,866 | MDU6SXNzdWU3MDE1MTg4NjY= | 7,134 | evaluate_during_training after each epoch | {
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"Hi there. When using `Trainer`, the evaluation loop is run every `args.eval_steps` (which is more consistent across datasets than an evaluation at the end of each epoch since with a small or a large dataset you would get evaluations that don't have the same meaning). If you want it run at the end of each epoch, yo... | 1,600 | 1,606 | 1,606 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/7133 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7133/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7133/comments | https://api.github.com/repos/huggingface/transformers/issues/7133/events | https://github.com/huggingface/transformers/pull/7133 | 701,406,116 | MDExOlB1bGxSZXF1ZXN0NDg2ODY2NTM1 | 7,133 | Update README | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7133?src=pr&el=h1) Report\n> Merging [#7133](https://codecov.io/gh/huggingface/transformers/pull/7133?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/90cde2e938638e64a8696a12b79ee5f52364b162?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | This PR reorganizes the README to reflect the current state of transformers a bit more. croll down a bit [here](https://github.com/huggingface/transformers/tree/update_readme) for a preview.
Here is the plan I followed:
**Introduction:** Expand a bit on the first two sentences to explain a bit more generally what... | {
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https://api.github.com/repos/huggingface/transformers/issues/7132 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7132/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7132/comments | https://api.github.com/repos/huggingface/transformers/issues/7132/events | https://github.com/huggingface/transformers/issues/7132 | 701,393,639 | MDU6SXNzdWU3MDEzOTM2Mzk= | 7,132 | Add tokenizer file save in convert_graph_to_onnx.py | {
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"cc. @mfuntowicz ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | # 🚀 Feature request
Allow saving the associated tokenizer files (to be loaded possibly with the tokenizer library) when running `convert_graph_to_onnx.py`
## Motivation
Having the good vocab file next to the good onnx model to avoid confusion and ease the loading process by any other framework (because models... | {
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https://api.github.com/repos/huggingface/transformers/issues/7131 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7131/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7131/comments | https://api.github.com/repos/huggingface/transformers/issues/7131/events | https://github.com/huggingface/transformers/pull/7131 | 701,364,799 | MDExOlB1bGxSZXF1ZXN0NDg2ODMzMzMy | 7,131 | [EncoderDecoderModel] fix indentation error | {
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"You can ignore the failing tests"
] | 1,600 | 1,600 | 1,600 | MEMBER | null | A statement regarding the encoder config init in `EncoderDecoderModel` was falsely indented which might lead to errors for very specific cases.
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https://api.github.com/repos/huggingface/transformers/issues/7130 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7130/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7130/comments | https://api.github.com/repos/huggingface/transformers/issues/7130/events | https://github.com/huggingface/transformers/issues/7130 | 701,350,166 | MDU6SXNzdWU3MDEzNTAxNjY= | 7,130 | AssertionError with multiple GPU | {
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"Cryptic error, but Trainer master @sgugger might have a hunch",
"Mmm it looks like the inputs are not on a GPU from the error. Are you running the base script or a modified version of it?",
"@sgugger It isn't one of the run scripts provided by HF but it is a modified forward method from the `GPT2LMHeadModel`. ... | 1,600 | 1,607 | 1,607 | NONE | null | ## System Info
Red Hat Server 7.7
Pytorch: 1.6.0
Transformers: 3.0.2
Python: 3.7.6
Number of GPU: 4
## Question
I am trying to finetune a GPT2 model using `Trainer` with multiple GPU installed on my machine. However, I get the following error:
```python
Traceback (most recent call last):
File "run_finetun... | {
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"https://github.com/huggingface/transformers/blob/60c8defa01049b559933ad4e2ab3cc32c8b7ef27/src/transformers/tokenization_rag.py#L58\r\n\r\nHello, thank you for the great work! It seems like the first argument passed to the method, `self`, needs to be deleted.",
"Closing this PR as it served its purpose. Continue ... | 1,600 | 1,651 | 1,600 | MEMBER | null | finalizing RAG in parallel to https://github.com/huggingface/transformers/pull/6813 | {
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https://api.github.com/repos/huggingface/transformers/issues/7128 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7128/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7128/comments | https://api.github.com/repos/huggingface/transformers/issues/7128/events | https://github.com/huggingface/transformers/pull/7128 | 701,333,692 | MDExOlB1bGxSZXF1ZXN0NDg2ODA3MDU3 | 7,128 | Fix the HF logger | {
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"I think the issue stems from the fact that this example is not relying on the base `transformers` logging. The logger is defined by the `__name__` from which you initialize it, and when you're initializing the logger within `transformers` you're doing the following:\r\n\r\n```py\r\n# file_utils.py\r\nfile_utils_lo... | 1,600 | 1,601 | 1,601 | CONTRIBUTOR | null | Hello.
The current HF logger do not behave as expected. As example let's take the `run_tf_ner.py` script. With the following header:
```
import logging
import os
from dataclasses import dataclass, field
from importlib import import_module
from typing import Dict, List, Optional, Tuple
import numpy as np
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7127 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7127/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7127/comments | https://api.github.com/repos/huggingface/transformers/issues/7127/events | https://github.com/huggingface/transformers/issues/7127 | 701,331,592 | MDU6SXNzdWU3MDEzMzE1OTI= | 7,127 | only fine tune the encoder part of BART | {
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"What task are you working on? Or to rephrase, what do you do once you have ` encoder_output = model(**inputs).encoder_last_hidden_state`?",
"Thanks for your feedback. In my case, I only want the bart encoder and combine it to my own decoder. Thanks for further feedback",
"How do you want to fine-tune the enco... | 1,600 | 1,604 | 1,604 | 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/7126 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7126/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7126/comments | https://api.github.com/repos/huggingface/transformers/issues/7126/events | https://github.com/huggingface/transformers/pull/7126 | 701,294,668 | MDExOlB1bGxSZXF1ZXN0NDg2Nzc1NzIz | 7,126 | Multi predictions trainer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7126?src=pr&el=h1) Report\n> Merging [#7126](https://codecov.io/gh/huggingface/transformers/pull/7126?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/52d250f6aa14844024806e5e4dd1c7882bbd8dd5?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | This allows the `Trainer` to properly return predictions when the model has several outputs (for instance, all models `XxxForMultipleChoice`). This should unlock progress in #7032 where the start and end logits are both required.
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https://api.github.com/repos/huggingface/transformers/issues/7125 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7125/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7125/comments | https://api.github.com/repos/huggingface/transformers/issues/7125/events | https://github.com/huggingface/transformers/pull/7125 | 701,292,906 | MDExOlB1bGxSZXF1ZXN0NDg2Nzc0MzQ2 | 7,125 | fix ZeroDivisionError and epoch counting | {
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"Looks great! Would you mind adding a few tests so we don't accidentally make changes that will resurface this bug?",
"> \r\n> \r\n> Looks great! Would you mind adding a few tests so we don't accidentally make changes that will resurface this bug?\r\n\r\n@sgugger \r\nI did a few simple tests on my side. Could you... | 1,600 | 1,651 | 1,600 | COLLABORATOR | null | @sgugger
This PR fix 2 minor bugs in `trainer.py`.
First, the two lines
num_train_epochs = (
self.args.max_steps // (len(train_dataloader) // self.args.gradient_accumulation_steps) + 1
)
and
epochs_trained = self.global_step // (len(train_dataloader) // self.args.gradie... | {
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https://api.github.com/repos/huggingface/transformers/issues/7124 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7124/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7124/comments | https://api.github.com/repos/huggingface/transformers/issues/7124/events | https://github.com/huggingface/transformers/pull/7124 | 701,262,148 | MDExOlB1bGxSZXF1ZXN0NDg2NzQ4Nzk1 | 7,124 | [s2s] distributed eval in one command | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7124?src=pr&el=h1) Report\n> Merging [#7124](https://codecov.io/gh/huggingface/transformers/pull/7124?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/206b78d4850d3c6fe85a015654293fc4b803ed7b?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | ### Issue
One GPU command:
```bash
python run_eval.py Helsinki-NLP/opus-mt-en-ro wmt_en_ro/test.source enro_test_translations.txt --reference_path wmt_en_ro/test.target --task translation --score_path mar_test_bleu.json --fp16 --bs 64
# {'bleu': 27.6865, 'n_obs': 1999, 'runtime': 85, 'seconds_per_sample': 0.0425}... | {
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https://api.github.com/repos/huggingface/transformers/issues/7123 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7123/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7123/comments | https://api.github.com/repos/huggingface/transformers/issues/7123/events | https://github.com/huggingface/transformers/issues/7123 | 701,217,198 | MDU6SXNzdWU3MDEyMTcxOTg= | 7,123 | Seq2SeqDataset experiment: try to use arrow datasets | {
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"@sshleifer could please assign me to this issue, would love to take a stab at this alongside `Seq2SeqTrainer` or once it's merged. ;)",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"... | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | ### High Level Goal
See if [`datasets/arrow_dataset.py`](https://github.com/huggingface/datasets/blob/master/src/datasets/arrow_dataset.py#L172) can improve `example/seq2seq/utils.py`'s [`Seq2SeqDataset`](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/utils.py#L165)
This is more experiment... | {
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"https://discuss.huggingface.co/t/marian-language-discovery-questions/739/4?u=sshleifer"
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