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https://api.github.com/repos/huggingface/transformers/issues/8321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8321/comments | https://api.github.com/repos/huggingface/transformers/issues/8321/events | https://github.com/huggingface/transformers/issues/8321 | 736,854,753 | MDU6SXNzdWU3MzY4NTQ3NTM= | 8,321 | tensorboard.compat.tensorflow_stub.errors.AlreadyExistsError: Directory already exists | {
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"Well it seems to tell you that your tensorboard directory already exists? Try with a different directory?",
"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"
] | 1,604 | 1,610 | 1,610 | NONE | null | Hi
I am running finetune_trainer.py on cloud with TPUs, here is the error, I appreciate your help thanks
```json
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https://api.github.com/repos/huggingface/transformers/issues/8320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8320/comments | https://api.github.com/repos/huggingface/transformers/issues/8320/events | https://github.com/huggingface/transformers/pull/8320 | 736,749,398 | MDExOlB1bGxSZXF1ZXN0NTE1OTA4NzU0 | 8,320 | Corrected tpu typo in examples readme | {
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"Confirming the failure is spurious. Thanks a lot for your fix!"
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request section?
- [ ] Was th... | {
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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"
] | 1,604 | 1,610 | 1,610 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/8318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8318/comments | https://api.github.com/repos/huggingface/transformers/issues/8318/events | https://github.com/huggingface/transformers/pull/8318 | 736,647,162 | MDExOlB1bGxSZXF1ZXN0NTE1ODI0MTAz | 8,318 | [s2s] test_bash_script.py - actually learn something | {
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"It's ready to merge"
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | As discussed in https://github.com/huggingface/transformers/issues/6049 this PR replaces the original `test_train_mbart_cc25_enro_script` test with mostly new guts doing the following:
* [x] switches to downloading and caching a bigger custom dataset, which is a subset of the full wmt_en_ro. I created https://cdn-d... | {
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https://api.github.com/repos/huggingface/transformers/issues/8317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8317/comments | https://api.github.com/repos/huggingface/transformers/issues/8317/events | https://github.com/huggingface/transformers/issues/8317 | 736,599,507 | MDU6SXNzdWU3MzY1OTk1MDc= | 8,317 | FutureWarning: This config doesn't use attention memories, a core feature of XLNet even though I'm using mem_len | {
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"Any solutions to this?\r\n\r\nThanks!",
"Hey, how are you setting `mem_len=384`? I am under the impression that the default `run_generation` script doesn't allow you to change the model from the default configuration, which would explain the warning.",
"Here is how I am setting it\r\n`model = model_class.from_... | 1,604 | 1,604 | 1,604 | NONE | null | So every time I try to run xl-net using the run_generation.py script, I get the warning : `FutureWarning: This config doesn't use attention memories, a core feature of XLNet. Consider setting mem_len to a non-zero value, for example xlnet = XLNetLMHeadModel.from_pretrained('xlnet-base-cased'', mem_len=1024), for accura... | {
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https://api.github.com/repos/huggingface/transformers/issues/8316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8316/comments | https://api.github.com/repos/huggingface/transformers/issues/8316/events | https://github.com/huggingface/transformers/issues/8316 | 736,589,640 | MDU6SXNzdWU3MzY1ODk2NDA= | 8,316 | No loss in model output for TFElectraForPreTraining | {
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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"
] | 1,604 | 1,610 | 1,610 | NONE | null | No loss in model output for TFElectraForPreTraining, even though labels are provided.
This is from docs for ELECTRA:
`loss (optional, returned when labels is provided, tf.Tensor of shape (1,)) – Total loss of the ELECTRA objective.`
The problem is that I want to get loss and logits, but model outputs only logits.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/8315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8315/comments | https://api.github.com/repos/huggingface/transformers/issues/8315/events | https://github.com/huggingface/transformers/pull/8315 | 736,577,451 | MDExOlB1bGxSZXF1ZXN0NTE1NzY2MjE3 | 8,315 | [s2s] test_distributed_eval | {
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"Fyi the example tests don't currently run on the multi-gpu setup, as pretty much none of the examples tests were made to run on a multi-gpu setup.\r\n\r\nWe can look into adding them to the CI.",
"> Fyi the example tests don't currently run on the multi-gpu setup, as pretty much none of the examples tests were m... | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | This PR:
* [x] adds a helper function `get_gpu_count()`, which returns the number of available gpus (regardless of whether torch or tf is used) (otherwise we have to do all the `if _torch_available: import torch` rigmarole.
* [x] adds a basic test for `run_distributed_eval.py`
Things I wasn't sure about:
- I p... | {
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https://api.github.com/repos/huggingface/transformers/issues/8314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8314/comments | https://api.github.com/repos/huggingface/transformers/issues/8314/events | https://github.com/huggingface/transformers/pull/8314 | 736,573,962 | MDExOlB1bGxSZXF1ZXN0NTE1NzYzMzMz | 8,314 | [QA examples] fix inconsistent tokenization in _improve_answer_span | {
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"@LysandreJik Not sure who I should ping to review this :) btw I am not sure what's the issue with the code quality here. ",
"Hello, we're in the midst of deprecating that method and shifting the methods to `datasets` instead. Could you hold on until we have the updated approach, which should land sometimes withi... | 1,604 | 1,619 | 1,619 | CONTRIBUTOR | null | Basically, I am trying to fix the QA preprocessing steps when using BPE-based tokenizers (Roberta, Bart, Longformer)
The prior _improve_answer_span has a bug because the way it tokenizes the answer_text is different from the way context is handled. So when the original context is '1987', and the old input ans_span i... | {
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https://api.github.com/repos/huggingface/transformers/issues/8313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8313/comments | https://api.github.com/repos/huggingface/transformers/issues/8313/events | https://github.com/huggingface/transformers/issues/8313 | 736,551,670 | MDU6SXNzdWU3MzY1NTE2NzA= | 8,313 | OOMKilled with exit code 137 with finetune_trainer.py | {
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"I even set batch_size to 1 and still the error is there. any suggestion? ",
"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"
] | 1,604 | 1,610 | 1,610 | NONE | null | Hi
I am trying to train on WMT with TPUs using seq2seq_trainer.py, and I always get "OOMKilled with exit code 137" on the line when it tries to use xm.spawn to run the main function on multiple TPUs. I decreased the batch size as much as possible, still the error is there. Do you have an idea why this is happening? th... | {
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https://api.github.com/repos/huggingface/transformers/issues/8312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8312/comments | https://api.github.com/repos/huggingface/transformers/issues/8312/events | https://github.com/huggingface/transformers/pull/8312 | 736,517,415 | MDExOlB1bGxSZXF1ZXN0NTE1NzE3OTMy | 8,312 | Create README.md | {
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https://api.github.com/repos/huggingface/transformers/issues/8311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8311/comments | https://api.github.com/repos/huggingface/transformers/issues/8311/events | https://github.com/huggingface/transformers/issues/8311 | 736,501,527 | MDU6SXNzdWU3MzY1MDE1Mjc= | 8,311 | error 'ascii' codec can't decode byte 0xc3 in position 6550: ordinal not in range(128)\n", when running finetune_trainer.py on multiple tpus | {
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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"
] | 1,604 | 1,610 | 1,610 | NONE | null | Hi
I am running finetune_trainer.py on multiple tpus getting the following error, thank you for your help
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https://api.github.com/repos/huggingface/transformers/issues/8310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8310/comments | https://api.github.com/repos/huggingface/transformers/issues/8310/events | https://github.com/huggingface/transformers/issues/8310 | 736,479,364 | MDU6SXNzdWU3MzY0NzkzNjQ= | 8,310 | Running seq2seq_trainer with iterable datasets | {
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"Maybe @patil-suraj has an idea!",
"Hi\r\nI really appreciate assisting me with this question, I am still struggling with it, could you tell me some pointers, how to add the handling capability of iterative datasets to finetune_trainer.py codes. thanks @patil-suraj ",
"This issue has been automatically marked ... | 1,604 | 1,610 | 1,610 | NONE | null | Hi
Looking into https://github.com/huggingface/transformers/blob/master/examples/seq2seq/seq2seq_trainer.py line 117, if the dataset is iterative, then the code does not return a distributed sampler so in case one wants to train on TPUs on multiple cores with iterable datasets, I was wondering if you could assist me h... | {
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https://api.github.com/repos/huggingface/transformers/issues/8309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8309/comments | https://api.github.com/repos/huggingface/transformers/issues/8309/events | https://github.com/huggingface/transformers/pull/8309 | 736,411,790 | MDExOlB1bGxSZXF1ZXN0NTE1NjMwMjQ0 | 8,309 | examples/docs: caveat that PL examples don't work on TPU | {
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https://api.github.com/repos/huggingface/transformers/issues/8308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8308/comments | https://api.github.com/repos/huggingface/transformers/issues/8308/events | https://github.com/huggingface/transformers/pull/8308 | 736,394,824 | MDExOlB1bGxSZXF1ZXN0NTE1NjE2MDY1 | 8,308 | Clean up data collators and datasets | {
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This PR cleans a bit the `DataCollatorForLanguageModeling` by:
- making sure it keeps additional labels (such a next sentence labels)
- use the `tokenizer.pad` function when possible, rewrite the function that was doing the padding when it's not (to handle padding on the left as well as the... | {
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https://api.github.com/repos/huggingface/transformers/issues/8307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8307/comments | https://api.github.com/repos/huggingface/transformers/issues/8307/events | https://github.com/huggingface/transformers/issues/8307 | 736,364,546 | MDU6SXNzdWU3MzYzNjQ1NDY= | 8,307 | run_mlm.py: error: argument | {
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"Note that the old script is still available [here](https://github.com/huggingface/transformers/blob/master/examples/contrib/legacy/run_language_modeling.py).\r\n\r\nThe new one expects slightly different arguments:\r\n- you should remove the `mlm` flag now, since the script has been split in several others\r\n- `t... | 1,604 | 1,619 | 1,619 | NONE | null | I just found today that transformers/examples/language-modeling/run_language_modeling.py" has now been changed to transformers/examples/language-modeling. Everything fine for me when was using run_language_modeling.py. But with the new change, I am getting the error that, **run_mlm.py: error: argument --mlm_probabilit... | {
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https://api.github.com/repos/huggingface/transformers/issues/8306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8306/comments | https://api.github.com/repos/huggingface/transformers/issues/8306/events | https://github.com/huggingface/transformers/issues/8306 | 736,359,262 | MDU6SXNzdWU3MzYzNTkyNjI= | 8,306 | Tokenizers save_pretrained broken when defining vocab and merges file arguments (v3.1) | {
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"I cannot reproduce the error on master with\r\n```\r\ntransformers 4.0.0rc1\r\ntokenizers 0.9.4\r\n```",
"@thomwolf I think it must be specific to the particular version of transformers (v3.1)",
"This issue has been automatically marked as stale because it has not had recent activity. If ... | 1,604 | 1,619 | 1,619 | NONE | null | ## Problem Information
Since the upgrade to transformers v3, it appears that issues arise when defining a RoBERTa or BART tokenizer using the vocab_file and merges_file arguments.
Previously defining the tokenizer, by supplying these two arguments resulted in a correctly configured tokenizer and enabled the toke... | {
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https://api.github.com/repos/huggingface/transformers/issues/8305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8305/comments | https://api.github.com/repos/huggingface/transformers/issues/8305/events | https://github.com/huggingface/transformers/issues/8305 | 736,319,567 | MDU6SXNzdWU3MzYzMTk1Njc= | 8,305 | Resource exhausted when training in loop | {
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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"
] | 1,604 | 1,610 | 1,610 | NONE | null | ## Environment info
- `transformers` version: 3.4.0
- Platform: Linux-4.15.0-109-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.5
- PyTorch version (GPU?): 1.4.0 (True)
- Tensorflow version (GPU?): 2.3.1 (True)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
... | {
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https://api.github.com/repos/huggingface/transformers/issues/8304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8304/comments | https://api.github.com/repos/huggingface/transformers/issues/8304/events | https://github.com/huggingface/transformers/issues/8304 | 736,316,064 | MDU6SXNzdWU3MzYzMTYwNjQ= | 8,304 | Exception: process 0 terminated with exit code 17 when using xla_spawn | {
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"Hi! Usually this error is preceded by another message. The exception with exit code 17 is not the error in itself. Please paste the full error stack trace here, alongside the command you used to launch your script.",
"Hi Lysandre, here is the full error I get on the google cloud it is\nterminated because of this... | 1,604 | 1,608 | 1,608 | NONE | null | Hi
I am calling finetune_trainer with xla_spawn command, on TPU, I am getting this error on wmt, any idea on this? thanks
```
Traceback (most recent call last):
File "/root/anaconda3/envs/pytorch/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/root/anaconda3/envs/... | {
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https://api.github.com/repos/huggingface/transformers/issues/8303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8303/comments | https://api.github.com/repos/huggingface/transformers/issues/8303/events | https://github.com/huggingface/transformers/issues/8303 | 736,314,232 | MDU6SXNzdWU3MzYzMTQyMzI= | 8,303 | How can we freeze the last few layers of a BERT model using tf 2.0(or higher) | {
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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"
] | 1,604 | 1,610 | 1,610 | NONE | null | How can we freeze the last few layers of a BERT model using tf 2.0(or higher)?
I just want to take the pre-trained layers and train the last few layers for fine-tuning on my own data in min time. | {
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https://api.github.com/repos/huggingface/transformers/issues/8302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8302/comments | https://api.github.com/repos/huggingface/transformers/issues/8302/events | https://github.com/huggingface/transformers/pull/8302 | 736,288,375 | MDExOlB1bGxSZXF1ZXN0NTE1NTI4Mzc2 | 8,302 | Fix path to old run_language_modeling.py script | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/8301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8301/comments | https://api.github.com/repos/huggingface/transformers/issues/8301/events | https://github.com/huggingface/transformers/pull/8301 | 736,260,309 | MDExOlB1bGxSZXF1ZXN0NTE1NTA1NDE2 | 8,301 | Speedup doc build | {
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This PR speeds the doc build by pinning the version of sphinx to 3.2.1 | {
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https://api.github.com/repos/huggingface/transformers/issues/8300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8300/comments | https://api.github.com/repos/huggingface/transformers/issues/8300/events | https://github.com/huggingface/transformers/pull/8300 | 736,247,314 | MDExOlB1bGxSZXF1ZXN0NTE1NDk0Njcz | 8,300 | adding model cards for distilled models | {
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"> I never know which tags are auto-generated, so please correct me if I did something useless!\r\n\r\nlooks good to me in terms of the tags 👍 "
] | 1,604 | 1,604 | 1,604 | MEMBER | null | # Model cards for distilled models
As discussed on Slack, a bunch of model cards for distilled models (at least the ones I contributed to).
cc @julien-c
I never know which tags are auto-generated, so please correct me if I did something useless! | {
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https://api.github.com/repos/huggingface/transformers/issues/8299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8299/comments | https://api.github.com/repos/huggingface/transformers/issues/8299/events | https://github.com/huggingface/transformers/pull/8299 | 736,233,269 | MDExOlB1bGxSZXF1ZXN0NTE1NDgyOTMy | 8,299 | Model card: T5-base fine-tuned on QASC | {
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"Pretty cool!",
"Thank you so much, @julien-c :) More models are coming ;)"
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8298/comments | https://api.github.com/repos/huggingface/transformers/issues/8298/events | https://github.com/huggingface/transformers/pull/8298 | 736,210,952 | MDExOlB1bGxSZXF1ZXN0NTE1NDY0Mzkw | 8,298 | Fix validation file loading in scripts | {
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As pointed out in #8295, the validation file was not properly loaded in all the examples scripts (one typo copy-pasted several times). This PR fixes that.
<!-- Remove if not applicable -->
Fixes #8295
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https://api.github.com/repos/huggingface/transformers/issues/8297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8297/comments | https://api.github.com/repos/huggingface/transformers/issues/8297/events | https://github.com/huggingface/transformers/issues/8297 | 736,197,456 | MDU6SXNzdWU3MzYxOTc0NTY= | 8,297 | [s2s] 1 GPU test for run_distributed_eval | {
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"wdyt @stas00 ",
"I will work on that, thank you.",
"A minor correction to the command (corrected `data_dir`):\r\n```\r\npython -m torch.distributed.launch --nproc_per_node=2 run_distributed_eval.py --model_name Helsinki-NLP/opus-mt-en-ro --save_dir test_data/opus_wmt_en_ro_gens --data_dir test_data/wmt_en_ro\r... | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | Add test coverage for run_distributed_eval.py that can run on 1 GPU.
The command:
```bash
python -m torch.distributed.launch --nproc_per_node=1 run_distributed_eval.py --model_name Helsinki-NLP/opus-mt-en-ro --save_dir opus_wmt_en_ro_gens --data_dir wmt_en_ro
```
works on 1 GPU.
After adding test coverage, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8296/comments | https://api.github.com/repos/huggingface/transformers/issues/8296/events | https://github.com/huggingface/transformers/pull/8296 | 736,190,384 | MDExOlB1bGxSZXF1ZXN0NTE1NDQ3MzU1 | 8,296 | Update README.md | {
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"I have a newer pull req",
"I have a newer pull req"
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | fix website address
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8295 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8295/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8295/comments | https://api.github.com/repos/huggingface/transformers/issues/8295/events | https://github.com/huggingface/transformers/issues/8295 | 736,180,917 | MDU6SXNzdWU3MzYxODA5MTc= | 8,295 | Validation data in `run_mlm.py` is the same as train data | {
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"Very good catch! Thanks for pointing it out, the PR mentioned above should fix this."
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | Inspecting the script I found the following:
https://github.com/huggingface/transformers/blob/cb966e640b8b9d0f6e9c06c1655d078a917e5196/examples/language-modeling/run_mlm.py#L204
Am I missing something? Otherwise, I could send a PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/8294 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8294/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8294/comments | https://api.github.com/repos/huggingface/transformers/issues/8294/events | https://github.com/huggingface/transformers/pull/8294 | 736,165,588 | MDExOlB1bGxSZXF1ZXN0NTE1NDI2NjM0 | 8,294 | pipelines: Tentative fix for AutoModel for PegasusConfig. | {
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"After thinking about it a bit, I don't think the `PegasusForConditionalGeneration` should be going there. The `MODEL_MAPPING` is a mapping to all the headless models, i.e., the models that output hidden states without processing them in a head.\r\n\r\nIntroducing `PegasusForConditionalGeneration` would result in a... | 1,604 | 1,614 | 1,614 | CONTRIBUTOR | null | # What does this PR do?
Original error lies in `pipeline(task='summarization',
model='google/pegasus-xsum')`.
- Code fails while trying to infer framework from model_name (str).
- It attempts to determine framework by running `AutoModel.from_pretrained(..)` then `TFAutoModel.from_pretrained(...)` and decides by see... | {
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https://api.github.com/repos/huggingface/transformers/issues/8293 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8293/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8293/comments | https://api.github.com/repos/huggingface/transformers/issues/8293/events | https://github.com/huggingface/transformers/pull/8293 | 736,160,368 | MDExOlB1bGxSZXF1ZXN0NTE1NDIyMjk1 | 8,293 | [Generate Test] fix greedy generate test | {
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"Ping @LysandreJik "
] | 1,604 | 1,604 | 1,604 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/8292 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8292/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8292/comments | https://api.github.com/repos/huggingface/transformers/issues/8292/events | https://github.com/huggingface/transformers/issues/8292 | 736,139,385 | MDU6SXNzdWU3MzYxMzkzODU= | 8,292 | Fine Tune Bert Ner using TFBertForTokenClassification.from_pretrained | {
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"What is your `metrics`?",
"```py\r\noptimizer= AdamWeightDecay(\r\n learning_rate=5e-5,\r\n beta_1=0.9,\r\n beta_2=0.999,\r\n weight_decay_rate=0.01,\r\n epsilon=1e-6,\r\n exclude_from_weight_decay=['layer_norm', 'bias'])\r\noptimizer._HAS_AGGREGATE_GRAD = False\r\nloss=tf.keras.losses.SparseCa... | 1,604 | 1,610 | 1,610 | NONE | null | Hey,
I am new to the transformers Bert Training world and am trying to fine tune Bert model for NER on a coNll like dataset. But its not training the model and giving the below error
ValueError: No gradients provided for any variable: ['tf_bert_for_token_classification_8/classifier/kernel:0', 'tf_bert_for_token_c... | {
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https://api.github.com/repos/huggingface/transformers/issues/8291 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8291/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8291/comments | https://api.github.com/repos/huggingface/transformers/issues/8291/events | https://github.com/huggingface/transformers/issues/8291 | 736,122,787 | MDU6SXNzdWU3MzYxMjI3ODc= | 8,291 | could you please give me a torch example of xlm-roberta-(base/large) for multilingual-text question? | {
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<!-- 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/8290 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8290/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8290/comments | https://api.github.com/repos/huggingface/transformers/issues/8290/events | https://github.com/huggingface/transformers/issues/8290 | 736,103,678 | MDU6SXNzdWU3MzYxMDM2Nzg= | 8,290 | finetuning T5 on translation on TPU, questions about clarifying the setup | {
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"in the main page of examples you mention one can pass any script to run it on tpu, but inside the seq2seq it seems one needs to use finetune_trainer and not finetune.py for tpus, I am confused which one to use, thanks for your help",
"@sshleifer @patil-suraj Maybe we could improve the documentation here",
"Hi,... | 1,604 | 1,604 | 1,604 | NONE | null | Hi,
I'd like to run finetune.py with wmt dataset in TPU to train from scratch not finetune. I appreciate the response to some questions:
1) Why there are two versions of fine-tuning using Seq2SeqTrainer and finetune.py and which one is suitable for my usecase?
2) Seq2SeqTrainer does not support predict on TPU, is th... | {
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https://api.github.com/repos/huggingface/transformers/issues/8289 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8289/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8289/comments | https://api.github.com/repos/huggingface/transformers/issues/8289/events | https://github.com/huggingface/transformers/issues/8289 | 736,073,206 | MDU6SXNzdWU3MzYwNzMyMDY= | 8,289 | Why do I use XLMRobertaTokenizer and return an error on token_type_ids? | {
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"I also have this question"
] | 1,604 | 1,640 | 1,604 | 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/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/8288 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8288/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8288/comments | https://api.github.com/repos/huggingface/transformers/issues/8288/events | https://github.com/huggingface/transformers/issues/8288 | 736,058,142 | MDU6SXNzdWU3MzYwNTgxNDI= | 8,288 | Training T5-large model for Question Answering | {
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"This notebook should help: https://github.com/patil-suraj/exploring-T5/blob/master/T5_on_TPU.ipynb",
"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"
] | 1,604 | 1,610 | 1,610 | NONE | null | Are there are any specific documents that I can follow, to do the training of the t5 model for Question answering?
I found this (https://huggingface.co/transformers/custom_datasets.html#qa-squad) on your website and it is not allowing me to use t5 model instead of DistilBert. | {
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https://api.github.com/repos/huggingface/transformers/issues/8287 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8287/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8287/comments | https://api.github.com/repos/huggingface/transformers/issues/8287/events | https://github.com/huggingface/transformers/pull/8287 | 736,029,261 | MDExOlB1bGxSZXF1ZXN0NTE1MzE0MDAw | 8,287 | Fix typo in language-modeling README.md | {
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Fix the typo in `README.md` in the `language-modeling` folder.
<!-- Remove if not applicable -->
Fixes # (issue)
## Before submitting
- [x] 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 guideli... | {
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https://api.github.com/repos/huggingface/transformers/issues/8286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8286/comments | https://api.github.com/repos/huggingface/transformers/issues/8286/events | https://github.com/huggingface/transformers/pull/8286 | 736,006,333 | MDExOlB1bGxSZXF1ZXN0NTE1Mjk0OTE1 | 8,286 | Improve QA pipeline error handling | {
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- The issue is that with previous code we would have the following:
```python
qa_pipeline = (...)
qa_pipeline(question="Where was he born ?", context="")
-> IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1)
```
The goal here is to improve this to act... | {
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https://api.github.com/repos/huggingface/transformers/issues/8285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8285/comments | https://api.github.com/repos/huggingface/transformers/issues/8285/events | https://github.com/huggingface/transformers/issues/8285 | 735,971,462 | MDU6SXNzdWU3MzU5NzE0NjI= | 8,285 | RAG performance on Open-NQ dataset much lower than expected | {
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"Maybe @lhoestq @patrickvonplaten have an idea",
"Hey @gaobo1987,\r\n\r\nWe checked that the models match the performance as reported in the paper. \r\n\r\nDid you run the model as stated in https://github.com/huggingface/transformers/blob/master/examples/rag/README.md ? ",
"Which index did you use exactly with... | 1,604 | 1,619 | 1,619 | 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/8284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8284/comments | https://api.github.com/repos/huggingface/transformers/issues/8284/events | https://github.com/huggingface/transformers/issues/8284 | 735,841,973 | MDU6SXNzdWU3MzU4NDE5NzM= | 8,284 | [rag] missing a working End-to-end evaluation example | {
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"@stas00 \r\n\r\nCan you please write a test code for **finetune.sh**. ",
"As you can see I'm waiting for this ticket to be addressed before I'm able to write the tests. \r\n\r\nPerhaps you can address that, and then I will have all the info needed to write the tests.",
"Until then please file a normal issue ab... | 1,604 | 1,616 | 1,616 | CONTRIBUTOR | null | I'm going to try to write tests for `examples/rag` (https://github.com/huggingface/transformers/issues/7715), but first I'm trying to figure out how it works.
Would it be possible to add a full `End-to-end evaluation` invocation example in https://github.com/huggingface/transformers/blob/master/examples/rag/README.m... | {
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https://api.github.com/repos/huggingface/transformers/issues/8283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8283/comments | https://api.github.com/repos/huggingface/transformers/issues/8283/events | https://github.com/huggingface/transformers/pull/8283 | 735,823,879 | MDExOlB1bGxSZXF1ZXN0NTE1MTQzNzE1 | 8,283 | [tokenizers] convert_to_tensors: don't reconvert when the type is already right | {
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"ping",
"Looks good to me. Thanks for handling this one @stas00 and sorry for the delay."
] | 1,604 | 1,605 | 1,605 | CONTRIBUTOR | null | I was trying to fix this warning:
```
src/transformers/tokenization_utils_base.py:608: UserWarning: To copy construct from a tensor,
it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True),
rather than torch.tensor(sourceTensor).
tensor = as_tensor(value)
`... | {
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https://api.github.com/repos/huggingface/transformers/issues/8282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8282/comments | https://api.github.com/repos/huggingface/transformers/issues/8282/events | https://github.com/huggingface/transformers/pull/8282 | 735,766,008 | MDExOlB1bGxSZXF1ZXN0NTE1MDk2OTk3 | 8,282 | [blenderbot] regex fix | {
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```
src/transformers/tokenization_blenderbot.py:163: DeprecationWarning: invalid escape sequence \s
token = re.sub("\s{2,}", " ", token)
```
@LysandreJik | {
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"Very cool. Is possible, can you add metadata as described in https://huggingface.co/docs#what-metadata-can-i-add-to-my-model-card?"
] | 1,604 | 1,607 | 1,607 | 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.
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https://api.github.com/repos/huggingface/transformers/issues/8280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8280/comments | https://api.github.com/repos/huggingface/transformers/issues/8280/events | https://github.com/huggingface/transformers/issues/8280 | 735,748,699 | MDU6SXNzdWU3MzU3NDg2OTk= | 8,280 | Translation finetuning error : TypeError: '>' not supported between instances of 'function' and 'int' | {
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"The issue solved with setting --gpus 1 explicitly. thanks. "
] | 1,604 | 1,604 | 1,604 | NONE | null | Dear huggingface team,
I'd like to train from scratch T5 on wmt19 (de-en), and I see these instructions in your page:
- you provided the script for finetune mbart_cc25, could I just change the model path and it works out of the box for training T5 on a translation task? any changes needed?
- when you use sortish s... | {
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https://api.github.com/repos/huggingface/transformers/issues/8279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8279/comments | https://api.github.com/repos/huggingface/transformers/issues/8279/events | https://github.com/huggingface/transformers/issues/8279 | 735,743,498 | MDU6SXNzdWU3MzU3NDM0OTg= | 8,279 | Finetuning T5 on translation wmt19(de-en) | {
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I'd like to train from scratch T5 on wmt19 (de-en), and I see these instructions in your page:
you provided the script for finetune mbart_cc25, could I just change the model path and it works out of the box for training T5 on a translation task?
I also gets these errors running the provided ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8278/comments | https://api.github.com/repos/huggingface/transformers/issues/8278/events | https://github.com/huggingface/transformers/issues/8278 | 735,735,585 | MDU6SXNzdWU3MzU3MzU1ODU= | 8,278 | [commit #29b536a]AttributeError: module 'numpy.random' has no attribute 'Generator' | {
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"Another error:\r\n```\r\n---------------------------------------------------------------------------\r\nImportError Traceback (most recent call last)\r\n<ipython-input-7-279c49635b32> in <module>\r\n----> 1 import transformers\r\n\r\n/scratch/a1204a01/.conda/envs/notebook/lib/python3.... | 1,604 | 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: commit #29b536a
- Platform: Linux
- Python version: 3.7.4
- PyTorch version (GPU?): 1.4.0
- Tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/8277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8277/comments | https://api.github.com/repos/huggingface/transformers/issues/8277/events | https://github.com/huggingface/transformers/issues/8277 | 735,685,565 | MDU6SXNzdWU3MzU2ODU1NjU= | 8,277 | SqueezeBert does not appear to properly generate text | {
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"Hello! First of all, you're using the `squeezebert-mnli` checkpoint, which is a checkpoint that was fine-tuned on the MNLI dataset. It cannot be used to do masked language modeling.\r\n\r\nI believe you should be using the `squeezebert-uncased` checkpoint instead.\r\n\r\nHowever, even when using that checkpoint wi... | 1,604 | 1,605 | 1,605 | NONE | null | ## Environment info
Google Colab
Using CPU with High Ram
### Who can help
@sgugger @forresti @LysandreJik
## Information
Model I am using: Squeezebert-uncased, squeezebert-mnli, etc.
The problem arises when using:
Trying to generate the likely output of the input sequence and predicting masked tokens... | {
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https://api.github.com/repos/huggingface/transformers/issues/8276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8276/comments | https://api.github.com/repos/huggingface/transformers/issues/8276/events | https://github.com/huggingface/transformers/pull/8276 | 735,676,331 | MDExOlB1bGxSZXF1ZXN0NTE1MDI1MTcw | 8,276 | Support various BERT relative position embeddings (2nd) | {
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"Hey @zhiheng-huang,\r\n\r\nit would be great if you could take a look at the failing tests :-) ",
"Hey @patrickvonplaten, I fixed all failed tests except check_code_quality. Currently the relative embedding is implemented for BERT only. In check_code_quality, `utils/check_copies.py` tries to copy the relative em... | 1,604 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
Creating a new PR for https://github.com/huggingface/transformers/pull/8108 to keep cleaner git history/commits.
The default BERT model `bert-base-uncased` was pre-trained with absolute position embeddings. We provide three pre-trained models which were pre-trained on the same training dat... | {
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https://api.github.com/repos/huggingface/transformers/issues/8275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8275/comments | https://api.github.com/repos/huggingface/transformers/issues/8275/events | https://github.com/huggingface/transformers/pull/8275 | 735,640,571 | MDExOlB1bGxSZXF1ZXN0NTE0OTk1ODY1 | 8,275 | [CIs] Better reports everywhere | {
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"And and update on proposing this multiple report files feature to be a core feature in pytest https://github.com/pytest-dev/pytest/issues/7972 - one of the developers vetoed it, so I guess it will remain just here for now. It makes no sense for this not to be a core feature of pytest, as we are just splitting the ... | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | Continuing the work in https://github.com/huggingface/transformers/pull/8110 and https://github.com/huggingface/transformers/pull/8163 this PR does the following:
* [x] rename `pytest --make_reports` to `pytest --make-reports` for consistency with the rest of `pytest` opts that don't use `_`
* [x] move the `--make_... | {
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https://api.github.com/repos/huggingface/transformers/issues/8274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8274/comments | https://api.github.com/repos/huggingface/transformers/issues/8274/events | https://github.com/huggingface/transformers/pull/8274 | 735,636,813 | MDExOlB1bGxSZXF1ZXN0NTE0OTkyNzI0 | 8,274 | Data collator for token classification | {
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"I just tried it, and noticed that it doesn't work if `features` is `List[Dict[str, torch.Tensor]]`,\r\nbecause `tokenizer.pad()` will set `return_tensors` to `pt` if `input_ids` is `torch.Tensor` and `return_tensors` is `None`.\r\n\r\nFor example my dataset looked like this.\r\n```python\r\ndef __getitem__(self, ... | 1,604 | 1,604 | 1,604 | COLLABORATOR | null | # What does this PR do?
This PR adds a `DataCollatorForTokenClassification`, very similar to `DataCollatorWithPadding` but whose job is to pad the labels to the same size as the inputs.
In passing, it adds tests of `DataCollatorWithPadding` and cleans all the tests of various data collators that were marked as slow... | {
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https://api.github.com/repos/huggingface/transformers/issues/8273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8273/comments | https://api.github.com/repos/huggingface/transformers/issues/8273/events | https://github.com/huggingface/transformers/pull/8273 | 735,598,698 | MDExOlB1bGxSZXF1ZXN0NTE0OTYyMDE4 | 8,273 | add evaluate doc - trainer.evaluate returns 'epoch' from training | {
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"@sgugger changes are made...",
"Thanks!"
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | Improved documentation - see #8184 | {
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https://api.github.com/repos/huggingface/transformers/issues/8272 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8272/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8272/comments | https://api.github.com/repos/huggingface/transformers/issues/8272/events | https://github.com/huggingface/transformers/issues/8272 | 735,587,857 | MDU6SXNzdWU3MzU1ODc4NTc= | 8,272 | Saving and reloading DistilBertForTokenClassification fine-tuned model | {
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"I'm encountering the same problem. Were you able to solve it?",
"Could you add the following lines:\r\n\r\n```py\r\nfrom transformers import logging as hf_logging\r\n\r\nhf_logging.set_verbosity_info()\r\n```\r\nbefore reloading the model, and paste the results here?\r\n\r\ncc @sgugger ",
"loading configuratio... | 1,604 | 1,689 | 1,619 | NONE | null | I am trying to reload a fine-tuned DistilBertForTokenClassification model. I am using transformers 3.4.0 and pytorch version 1.6.0+cu101. After using the Trainer to train the downloaded model, I save the model with trainer.save_model() and during my trouble shooting I saved the model in a **different** directory via mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/8271 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8271/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8271/comments | https://api.github.com/repos/huggingface/transformers/issues/8271/events | https://github.com/huggingface/transformers/issues/8271 | 735,583,869 | MDU6SXNzdWU3MzU1ODM4Njk= | 8,271 | Low accuracy after load custom pretrained model in a text binary classification problem | {
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"The problem is mine. As other user suggest me in Stackoverflow, I have to save the model this way\r\n```\r\nmodel.save_pretrained (\"my-model\")`\r\n```"
] | 1,604 | 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: 3.4.0
- Platform: Linux-4.15.0-122-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- Py... | {
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https://api.github.com/repos/huggingface/transformers/issues/8270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8270/comments | https://api.github.com/repos/huggingface/transformers/issues/8270/events | https://github.com/huggingface/transformers/pull/8270 | 735,561,538 | MDExOlB1bGxSZXF1ZXN0NTE0OTMxOTAy | 8,270 | improve documentation of training_args.py | {
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"Thanks a lot!"
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | Documentation for the following fields has been improved:
- do_train
- do_eval
- do_predict
Also see #8179 | {
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https://api.github.com/repos/huggingface/transformers/issues/8269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8269/comments | https://api.github.com/repos/huggingface/transformers/issues/8269/events | https://github.com/huggingface/transformers/pull/8269 | 735,551,996 | MDExOlB1bGxSZXF1ZXN0NTE0OTI0MTAy | 8,269 | [wip/s2s/pl] attempt to sync metrics in DDP | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,604 | 1,619 | 1,619 | CONTRIBUTOR | null | This is broken.
Attempted to add
`AverageMetric` where you just dump python floats and they get averaged and the end, but not working on DDP.
### Failing command
(fails quickly at val sanity check)
```bash
cd examples/seq2seq
wget https://cdn-datasets.huggingface.co/translation/wmt_en_ro.tar.gz
tar -xzvf ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8268/comments | https://api.github.com/repos/huggingface/transformers/issues/8268/events | https://github.com/huggingface/transformers/pull/8268 | 735,508,015 | MDExOlB1bGxSZXF1ZXN0NTE0ODg4MTQy | 8,268 | Clean Trainer tests and datasets dep | {
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This PR removes the installation of datasets from master and uses the dependency already in `testing` instead. It also cleans up a bit the tests in Trainer by:
- using the decorator `requires_datasets` when needed
- using a temp dir for the output of one test, to avoid some files to be crea... | {
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https://api.github.com/repos/huggingface/transformers/issues/8267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8267/comments | https://api.github.com/repos/huggingface/transformers/issues/8267/events | https://github.com/huggingface/transformers/pull/8267 | 735,507,114 | MDExOlB1bGxSZXF1ZXN0NTE0ODg3Mzk0 | 8,267 | [Seq2Seq] Make Seq2SeqArguments an independent file | {
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By putting all `Seq2SeqTrainingArguments` logic in a separate file, the `Seq2SeqTrainer` and `Seq2SeqTrainingArguments` can be used as standalone files without having to download any additional files because of other dependencies.
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https://api.github.com/repos/huggingface/transformers/issues/8266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8266/comments | https://api.github.com/repos/huggingface/transformers/issues/8266/events | https://github.com/huggingface/transformers/pull/8266 | 735,486,126 | MDExOlB1bGxSZXF1ZXN0NTE0ODcwMDI0 | 8,266 | german medbert model details | {
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] | closed | false | null | [] | [] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
- added details for German MedBERT
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-co... | {
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https://api.github.com/repos/huggingface/transformers/issues/8265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8265/comments | https://api.github.com/repos/huggingface/transformers/issues/8265/events | https://github.com/huggingface/transformers/issues/8265 | 735,482,720 | MDU6SXNzdWU3MzU0ODI3MjA= | 8,265 | Is there a pre-trained BERT model with the sequence length of 2048? | {
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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"
] | 1,604 | 1,610 | 1,610 | NONE | null | Hello,
I want to use the pre-trained BERT model because I do not want to train the entire BERT model to analyze my data. Is there a pre-trained BERT model with sequence length 2048?
or are all pre-trained BERT model only have the sequence length of 512?
Thank you. | {
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https://api.github.com/repos/huggingface/transformers/issues/8264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8264/comments | https://api.github.com/repos/huggingface/transformers/issues/8264/events | https://github.com/huggingface/transformers/pull/8264 | 735,475,747 | MDExOlB1bGxSZXF1ZXN0NTE0ODYxNTQ1 | 8,264 | New TensorFlow trainer version | {
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"# 1. Input data\r\n\r\n> The PyTorch side of the library (and all the PyTorch scripts) have datasets that eventually yield dictionaries containing all inputs of the model as well as the labels. In an ideal world, it would be great if we could leverage that format easily for TF as well (so that the same script can ... | 1,604 | 1,686 | 1,619 | CONTRIBUTOR | null | Hello,
This PR is a proposal for an updated version of the current TensorFlow trainer. This new trainer brings the following improvements:
- Uses the Keras methods `.compile()` + `.fit()` instead of the custom training loop. This change brings a better integration with TensorFlow and the different strategies that... | {
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https://api.github.com/repos/huggingface/transformers/issues/8263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8263/comments | https://api.github.com/repos/huggingface/transformers/issues/8263/events | https://github.com/huggingface/transformers/issues/8263 | 735,465,801 | MDU6SXNzdWU3MzU0NjU4MDE= | 8,263 | GPT2 is not jit-traceable | {
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"Hi! I believe those are warnings and not errors? Does it change the expected results when tracing the model?",
"You are right, despite the warnings (and my - limited - understanding of what should work inside tracing), the output of the compiled model with different inputs are comparable to the base ones. \r\n\r... | 1,604 | 1,644 | 1,604 | CONTRIBUTOR | null | ## Information
I would like to use Pytorch tracing on a pretrained GPT2 model, but I run into these warnings for the attention layers:
```
python3.8/site-packages/transformers/modeling_gpt2.py:164: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8262/comments | https://api.github.com/repos/huggingface/transformers/issues/8262/events | https://github.com/huggingface/transformers/pull/8262 | 735,461,691 | MDExOlB1bGxSZXF1ZXN0NTE0ODUwMDM4 | 8,262 | [distributed testing] forward the worker stderr to the parent process | {
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* on distributed failure reproduces the combined `stderr` of the worker processes in the exception of the test invoking the distributed process
This is so that the CI's new optimized reports will include the full error message.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/8261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8261/comments | https://api.github.com/repos/huggingface/transformers/issues/8261/events | https://github.com/huggingface/transformers/issues/8261 | 735,422,752 | MDU6SXNzdWU3MzU0MjI3NTI= | 8,261 | Encoder Decoder Model | {
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"Maybe I found out, is it:\r\n\r\n```\r\nfor i, sample_output in enumerate(generated):\r\n print(\"{}: {}\".format(i, tokenizer.decode(sample_output, skip_special_tokens=True)))\r\n```\r\n?",
"You can also make use of `tokenizer.batch_decode(...)`"
] | 1,604 | 1,604 | 1,604 | NONE | null | Hi,
I am following the instructions written on the HuggingFace website to use an encoder-decoder model:
from transformers import EncoderDecoderModel, BertTokenizer
import torch
```
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = EncoderDecoderModel.from_encoder_decoder_pretrained('be... | {
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https://api.github.com/repos/huggingface/transformers/issues/8260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8260/comments | https://api.github.com/repos/huggingface/transformers/issues/8260/events | https://github.com/huggingface/transformers/pull/8260 | 735,382,732 | MDExOlB1bGxSZXF1ZXN0NTE0Nzg0OTM4 | 8,260 | [fix] Skip tatoeba tests if Tatoeba-Challenge not cloned | {
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https://api.github.com/repos/huggingface/transformers/issues/8259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8259/comments | https://api.github.com/repos/huggingface/transformers/issues/8259/events | https://github.com/huggingface/transformers/issues/8259 | 735,322,010 | MDU6SXNzdWU3MzUzMjIwMTA= | 8,259 | Disable default sigmoid function for single label classification Inference API | {
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"Hi! Right now the sigmoid function is applied when the pipeline detects that there is a single label. You would like the option to disable the sigmoid function in that case?",
"@LysandreJik \r\nSorry for my late reply.\r\nYes, cuz when people are doing regression tasks using the single-label SequenceClassificati... | 1,604 | 1,610 | 1,610 | CONTRIBUTOR | null | # 🚀 Feature request
Allow people to disable the default sigmoid function in TextClassificationPipeline (maybe via model cards?).
## Motivation
When we use the sequence classification model (e.g. RobertaForSequenceClassification) for regression tasks, the output may have different ranges other than [0,1], it w... | {
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https://api.github.com/repos/huggingface/transformers/issues/8258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8258/comments | https://api.github.com/repos/huggingface/transformers/issues/8258/events | https://github.com/huggingface/transformers/pull/8258 | 735,311,081 | MDExOlB1bGxSZXF1ZXN0NTE0NzI2NTg5 | 8,258 | Create README.md | {
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"Add model card for pedropei/question-intimacy"
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/8257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8257/comments | https://api.github.com/repos/huggingface/transformers/issues/8257/events | https://github.com/huggingface/transformers/pull/8257 | 735,308,707 | MDExOlB1bGxSZXF1ZXN0NTE0NzI0NTk5 | 8,257 | Create README.md | {
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https://api.github.com/repos/huggingface/transformers/issues/8256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8256/comments | https://api.github.com/repos/huggingface/transformers/issues/8256/events | https://github.com/huggingface/transformers/pull/8256 | 735,272,556 | MDExOlB1bGxSZXF1ZXN0NTE0Njk0NTc4 | 8,256 | [FIX] TextGenerationPipeline is currently broken. | {
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"Ran all pipeline tests with @slow too to make sure:\r\n\r\n```\r\n==================================================================== warnings summary ====================================================================\r\n.venv/lib/python3.8/site-packages/tensorflow/python/autograph/utils/testing.py:21\r\n /hom... | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
It's most likely due to #8180. What's missing is a multi vs single string
handler at the beginning of the pipe. And also there was no testing of this
pipeline.
This also changes Conversational pipeline tests which seemed to have also test failures
This was linked to having state within the inp... | {
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https://api.github.com/repos/huggingface/transformers/issues/8255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8255/comments | https://api.github.com/repos/huggingface/transformers/issues/8255/events | https://github.com/huggingface/transformers/pull/8255 | 735,268,053 | MDExOlB1bGxSZXF1ZXN0NTE0NjkwODkx | 8,255 | Create README.md | {
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"why is the model card not visible under transformer/model_cards/tartuNLP/EstBERT/README.md link?\r\n\r\nI am quite new to git thingy :S "
] | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | Initial commit
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8254 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8254/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8254/comments | https://api.github.com/repos/huggingface/transformers/issues/8254/events | https://github.com/huggingface/transformers/pull/8254 | 735,222,491 | MDExOlB1bGxSZXF1ZXN0NTE0NjUyOTUy | 8,254 | [Seq2Seq] Correct import in Seq2Seq Trainer | {
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Correct import as mentioned by @stas00 here: https://github.com/huggingface/transformers/pull/8194#discussion_r515690821
Pinging @stas00 for review as well here.
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https://api.github.com/repos/huggingface/transformers/issues/8253 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8253/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8253/comments | https://api.github.com/repos/huggingface/transformers/issues/8253/events | https://github.com/huggingface/transformers/issues/8253 | 735,176,368 | MDU6SXNzdWU3MzUxNzYzNjg= | 8,253 | when the txt file has 5GB, a Killed prompt appears. | {
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"What is your machine's specs? It's probably an out of memory error.",
"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"
] | 1,604 | 1,610 | 1,610 | NONE | null | I am running run_language_modeling.py,
python run_language_modeling.py \
--output_dir ${model_dir} \
--tokenizer_name $data_dir/wordpiece-custom.json \
--config_name $data_dir/config.json \
--train_data_file "$data_dir/train.txt" \
--eval_data_file $data_dir/valid.txt \
... | {
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https://api.github.com/repos/huggingface/transformers/issues/8252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8252/comments | https://api.github.com/repos/huggingface/transformers/issues/8252/events | https://github.com/huggingface/transformers/pull/8252 | 735,160,416 | MDExOlB1bGxSZXF1ZXN0NTE0NjAxODEw | 8,252 | Updated Reformer to use caching during generation | {
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"Great catch!",
"Let's merge that quickly so that I can integrate it into https://github.com/huggingface/transformers/pull/6949/files#diff-b7601d397d5d60326ce61a9c91beaa2afa026014141052b32b07e1d044fbbe17",
"Actually, we would have to add in two spots of this `generate` version. Considering that we will merge th... | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
The current reformer implementation supports caching of buckets and states, but this is not used during generation. Running a generation example in debugging mode, such as
```python
from transformers import ReformerModelWithLMHead, ReformerTokenizer
model = ReformerModelWithLMHead.from_... | {
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https://api.github.com/repos/huggingface/transformers/issues/8251 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8251/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8251/comments | https://api.github.com/repos/huggingface/transformers/issues/8251/events | https://github.com/huggingface/transformers/issues/8251 | 735,143,038 | MDU6SXNzdWU3MzUxNDMwMzg= | 8,251 | Train BERT with CLI commands | {
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"It's probably tokenizing. How big is your dataset?",
"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"
] | 1,604 | 1,610 | 1,610 | NONE | null | I have downloaded the HuggingFace BERT model from the transformer repository found [here][1] and would like to train the model on custom NER labels by using the run_ner.py script as it is referenced [here][2] in the section "Named Entity Recognition".
I define model ("bert-base-german-cased"), data_dir ("Data/senten... | {
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https://api.github.com/repos/huggingface/transformers/issues/8250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8250/comments | https://api.github.com/repos/huggingface/transformers/issues/8250/events | https://github.com/huggingface/transformers/issues/8250 | 735,089,509 | MDU6SXNzdWU3MzUwODk1MDk= | 8,250 | tokenizer.vocab key and values is change begin line 261? | {
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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"
] | 1,604 | 1,610 | 1,610 | NONE | null | transformers version 3.0.0
```python
tokenizer = BertTokenizer.from_pretrained('bert-base-chinese')
for v, i in tokenizer.vocab.items():
print(v, i)
```
i find key and values maybe wrong posit... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,604 | 1,619 | 1,619 | COLLABORATOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8247 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8247/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8247/comments | https://api.github.com/repos/huggingface/transformers/issues/8247/events | https://github.com/huggingface/transformers/pull/8247 | 734,765,097 | MDExOlB1bGxSZXF1ZXN0NTE0MjcyNzAx | 8,247 | Model card: CodeBERT fine-tuned for Insecure Code Detection | {
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"You can add the dataset(s) id(s) even for datasets not currently implemented in the `datasets` lib. That way, it will prompt us, or someone from the community, to add it at some point :)\r\n\r\nActually, did you take a look at how to implement a new `dataset`, @mrm8488? We can help, cc @lhoestq @thomwolf ",
"I d... | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8246 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8246/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8246/comments | https://api.github.com/repos/huggingface/transformers/issues/8246/events | https://github.com/huggingface/transformers/pull/8246 | 734,758,267 | MDExOlB1bGxSZXF1ZXN0NTE0MjY3MTg2 | 8,246 | [Notebooks] Add new encoder-decoder notebooks | {
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https://api.github.com/repos/huggingface/transformers/issues/8245 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8245/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8245/comments | https://api.github.com/repos/huggingface/transformers/issues/8245/events | https://github.com/huggingface/transformers/pull/8245 | 734,744,096 | MDExOlB1bGxSZXF1ZXN0NTE0MjU2MTc3 | 8,245 | Add XLMProphetNetTokenizer to tokenization auto | {
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https://api.github.com/repos/huggingface/transformers/issues/8244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8244/comments | https://api.github.com/repos/huggingface/transformers/issues/8244/events | https://github.com/huggingface/transformers/issues/8244 | 734,741,759 | MDU6SXNzdWU3MzQ3NDE3NTk= | 8,244 | _shift_right when to use | {
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"Hey @rabeehkarimimahabadi, it's a convenience function that is used if `input_ids` and `labels` are provided but no `decoder_input_ids`. In this case this function automatically creates the correct `decoder_input_ids` as described here: https://huggingface.co/transformers/model_doc/t5.html?highlight=t5#training",
... | 1,604 | 1,610 | 1,610 | NONE | null | Hi
In modeling_t5 there is a function called shift_right I wonder when it needs to be used, for which tasks? I sometimes see T5 finetuning without using it, not sure when this is suitable to use it thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/8243 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8243/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8243/comments | https://api.github.com/repos/huggingface/transformers/issues/8243/events | https://github.com/huggingface/transformers/pull/8243 | 734,732,010 | MDExOlB1bGxSZXF1ZXN0NTE0MjQ2MzMy | 8,243 | [EncoderDecoder] fix encoder decoder config model type bug | {
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https://api.github.com/repos/huggingface/transformers/issues/8242 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8242/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8242/comments | https://api.github.com/repos/huggingface/transformers/issues/8242/events | https://github.com/huggingface/transformers/issues/8242 | 734,701,421 | MDU6SXNzdWU3MzQ3MDE0MjE= | 8,242 | Error converting tensorflow checkpoints | {
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"I ran into the same problem",
"> I ran into the same problem\r\n\r\nbut I didn't get the error",
"Hi @nikhilbyte @chainesanbuenaventura \r\n\r\nAny updates? I also have the same problem while converting TensorFlow model to PyTorch model?\r\n\r\nThanks\r\n",
"This issue has been automatically marked as stale ... | 1,604 | 1,619 | 1,619 | NONE | null | # ❓ Questions & Help
I'm trying to convert a BERT Tensorflow checkpoint to hugging face model
## Details
```
!transformers-cli convert \
--model_type bert \
--tf_checkpoint C:\Users\sacl\Panasonic-AI\POC\pretraining\content\PatentBERT\model.ckpt-181172 \
--config C:\Users\sacl\Panasonic-AI\POC\pretrain... | {
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"Hi, I am currently executing the **run_mlm.py** file, because I do not know the entire code structure very well, and I am a little confused about the 262 lines of code in the **run_mlm.py** file. It is line 262 in the figure below. \r\n![2020-11-03 19-21-40屏幕截图](https://user-images.githubusercontent.com/39059793/9... | 1,604 | 1,604 | 1,604 | COLLABORATOR | null | # What does this PR do?
The old `run_language_modeling` script was supporting the option to choose `line_by_line` or not for the datasets in MLM/PLM. This PR adds that option to `run_mlm` and `run_plm`. It also updates the README to present those options and adds a flag to disable dynamic batching on TPU: TPUs need ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8239/comments | https://api.github.com/repos/huggingface/transformers/issues/8239/events | https://github.com/huggingface/transformers/pull/8239 | 734,605,107 | MDExOlB1bGxSZXF1ZXN0NTE0MTQxNTI1 | 8,239 | Fix TensorBoardCallback for older versions of PyTorch | {
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It looks like the olad `SummaryWriter` class from `tensorboardX` does not have all the methods of the more recent class in PyTorch, this PR just checks the method is there before using it.
Fixes #8202 | {
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https://api.github.com/repos/huggingface/transformers/issues/8238 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8238/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8238/comments | https://api.github.com/repos/huggingface/transformers/issues/8238/events | https://github.com/huggingface/transformers/pull/8238 | 734,597,284 | MDExOlB1bGxSZXF1ZXN0NTE0MTM1MDcw | 8,238 | Patch reports | {
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Removes the examples tests from the multi-gpu tests for now.
Tests the pipelines in the TF suite. | {
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https://api.github.com/repos/huggingface/transformers/issues/8237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8237/comments | https://api.github.com/repos/huggingface/transformers/issues/8237/events | https://github.com/huggingface/transformers/pull/8237 | 734,586,377 | MDExOlB1bGxSZXF1ZXN0NTE0MTI2MDU5 | 8,237 | Fix bad import with PyTorch <= 1.4.1 | {
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"FYI `SAVE_STATE_WARNING` has been removed 3 days ago: pytorch/pytorch#46813\r\n\r\nSo `transformers` needs to be recoded not to use that constant.\r\n\r\nLooking at its use, this probably would suffice:\r\n\r\n```\r\n--- a/src/transformers/trainer_pt_utils.py\r\n+++ b/src/transformers/trainer_pt_utils.py\r\n@@ -34... | 1,604 | 1,607 | 1,604 | COLLABORATOR | null | # What does this PR do?
`trainer_pt_utils` imports `SAVE_STATE_WARNING` from PyTorch, which only exists in 1.5.0 or later. This fixes that problem.
Fixes #8232 | {
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https://api.github.com/repos/huggingface/transformers/issues/8236 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8236/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8236/comments | https://api.github.com/repos/huggingface/transformers/issues/8236/events | https://github.com/huggingface/transformers/issues/8236 | 734,570,663 | MDU6SXNzdWU3MzQ1NzA2NjM= | 8,236 | Weird Behavior in Finetuning Pegasus on a Custom Dataset/Longer Summaries Generated | {
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"Great Q!\r\nwe added `min_length=32` to many pegasus configs. Set `min_length=0` to fallback to the old behavior.\r\nYou shouldn't need to re-train."
] | 1,604 | 1,604 | 1,604 | NONE | null | ## Environment info
- `transformers` version: 3.4.0
- Platform: Linux-4.4.0-186-generic-x86_64-with-debian-stretch-sid
- Python version: 3.7.7
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): NA
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?:No
### Who can hel... | {
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https://api.github.com/repos/huggingface/transformers/issues/8235 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8235/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8235/comments | https://api.github.com/repos/huggingface/transformers/issues/8235/events | https://github.com/huggingface/transformers/pull/8235 | 734,497,776 | MDExOlB1bGxSZXF1ZXN0NTE0MDUyNDMw | 8,235 | doc: fix typo | {
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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/8234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8234/comments | https://api.github.com/repos/huggingface/transformers/issues/8234/events | https://github.com/huggingface/transformers/issues/8234 | 734,483,682 | MDU6SXNzdWU3MzQ0ODM2ODI= | 8,234 | filelock hangs for example script "run_language_modeling.py" | {
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"Pinging @sgugger",
"How long did you let the script hang for? It's probably tokenizing your dataset, which might take a while. Did you try with smaller files to see if it still hanged?",
"Hi @LysandreJik, I did try with a single 30MB file as reported, still hanging. It's hanging for hours. \r\nLately I've thou... | 1,604 | 1,604 | 1,604 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.4.0
- Platform: Linux-3.10.0-957.27.2.el7.x86_64-x86_64-with-centos-7.8.2003-Core
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or parallel set-up in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8233/comments | https://api.github.com/repos/huggingface/transformers/issues/8233/events | https://github.com/huggingface/transformers/issues/8233 | 734,436,687 | MDU6SXNzdWU3MzQ0MzY2ODc= | 8,233 | Contributing trained Greek<->English NMT models implemented with fairseq | {
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"We'd love to help you share your models! Both @sshleifer and @stas00 worked on MT models and used Fairseq recently so might be able to help.",
"If I'm not mistaken the only difference between [wmt19](https://github.com/pytorch/fairseq/blob/master/examples/wmt19/README.md) and iwslt is the configuration of the la... | 1,604 | 1,604 | 1,604 | NONE | null | Hi there, quick question that I couldn't answer by searching the docs:
I trained an EL-EN (Greek to English) and an EN-EL machine translation model using the fairseq implementation of the `transformer_iwslt_de_en `architecture on ~6GB of parallel corpora. Given that the models report a better BLEU score compared to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8232 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8232/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8232/comments | https://api.github.com/repos/huggingface/transformers/issues/8232/events | https://github.com/huggingface/transformers/issues/8232 | 734,422,578 | MDU6SXNzdWU3MzQ0MjI1Nzg= | 8,232 | ImportError: cannot import name 'SAVE_STATE_WARNING' from 'torch.optim.lr_scheduler' | {
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"Oh I didn't check when they added this. Do you know if PyTorch 1.4.0 is the last version without it? Will add a fix this morning.",
"thank you for the quick fix.",
"`SAVE_STATE_WARNING` has been removed 3 days ago: https://github.com/pytorch/pytorch/pull/46813\r\n\r\nNeed to update https://github.com/huggingfa... | 1,604 | 1,607 | 1,607 | 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:
- Platform: ubuntu 18.04
- Python version: 3.7
- PyTorch version (GPU?): 1.4.0
- Tensorflow version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/8231 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8231/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8231/comments | https://api.github.com/repos/huggingface/transformers/issues/8231/events | https://github.com/huggingface/transformers/pull/8231 | 734,372,830 | MDExOlB1bGxSZXF1ZXN0NTEzOTQ3ODE0 | 8,231 | Tf longformer for sequence classification | {
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"@elk-cloner - thanks a lot for taking a look into this! \r\n\r\nWould be awesome to fix the TFLongformer related tests. There seem to be some obvious bug: `UnboundLocalError: local variable 'input_ids' referenced before assignment` . \r\n\r\nI'll do a longer review once these tests are fixed :-) Lemme know if you ... | 1,604 | 1,605 | 1,605 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/8230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8230/comments | https://api.github.com/repos/huggingface/transformers/issues/8230/events | https://github.com/huggingface/transformers/pull/8230 | 734,364,526 | MDExOlB1bGxSZXF1ZXN0NTEzOTQwOTY1 | 8,230 | Fixed emmental example. | {
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"looks good to me!",
"looks good to me too!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/hug... | 1,604 | 1,619 | 1,619 | CONTRIBUTOR | null | Added information about loading of squad data in README.
Fixed BertLayerNorm which disappeared some time ago, replace with torch.nn.LayerNorm (which was buggy long time ago it seems).
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https://api.github.com/repos/huggingface/transformers/issues/8229 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8229/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8229/comments | https://api.github.com/repos/huggingface/transformers/issues/8229/events | https://github.com/huggingface/transformers/issues/8229 | 734,239,498 | MDU6SXNzdWU3MzQyMzk0OTg= | 8,229 | is it possible to extract the attention weights on test inputs when the pretrained model is fine-tuned on custom data? | {
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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"
] | 1,604 | 1,610 | 1,610 | NONE | null | # ❓ Questions & Help
I am wondering if it's possible to look into the attention weights on test data when the fine-tuned model is running. I tried to look for some docs for help but could not find useful guidance. Any pointers will be appreciated. Thanks a lot in advance.
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https://api.github.com/repos/huggingface/transformers/issues/8228 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8228/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8228/comments | https://api.github.com/repos/huggingface/transformers/issues/8228/events | https://github.com/huggingface/transformers/issues/8228 | 734,162,194 | MDU6SXNzdWU3MzQxNjIxOTQ= | 8,228 | segmentation fault (core dumped) proxychains4 python xxx.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"
] | 1,604 | 1,610 | 1,610 | 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: 3.4.0
- Platform: ubuntu 18.04
- Python version: 3.6
- PyTorch version (GPU?): 1.4.0 GPU
- Tensorflow ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8227 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8227/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8227/comments | https://api.github.com/repos/huggingface/transformers/issues/8227/events | https://github.com/huggingface/transformers/issues/8227 | 734,124,984 | MDU6SXNzdWU3MzQxMjQ5ODQ= | 8,227 | convert_graph_to_onnx.py and associated example notebook are broken for TensorFlow | {
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"## Environment Info\r\n- `transformers` version: 3.4.0\r\n- Platform: Linux-4.15.0-108-generic-x86_64-with-Ubuntu-18.04-bionic\r\n- Python version: 3.6.9\r\n- PyTorch version (GPU?): 1.6.0+cpu (False)\r\n- Tensorflow version (GPU?): 2.3.1 (False)\r\n\r\nAlso, reproduced on Google Colab, as indicated above.\r\n\r\n... | 1,604 | 1,648 | 1,610 | NONE | null | ## Information
The `convert_graph_to_onnx.py` file and the associated [example notebook](https://github.com/huggingface/transformers/blob/master/notebooks/04-onnx-export.ipynb) appear to be broken for TensorFlow.
For ONNX-exported TensorFlow models, **only input tokens of length 5 are accepted**. Other inputs (e... | {
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* `embedding_dim` param for `SinusoidalPositionalEmbedding` can now be odd.
* fixes a bug "RuntimeError: a view of a leaf Variable that requires grad is being used in an in-place operation" appearing in pytorch-1.8+ (this var requires no grad, so make it so before we do anything grad-related with it).
Fix... | {
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https://api.github.com/repos/huggingface/transformers/issues/8225 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8225/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8225/comments | https://api.github.com/repos/huggingface/transformers/issues/8225/events | https://github.com/huggingface/transformers/issues/8225 | 734,078,745 | MDU6SXNzdWU3MzQwNzg3NDU= | 8,225 | When would pegasus be able to be exported in ONNX format? | {
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"@patil-suraj has a partial solution that he just posted to the forums. he might be able to extend that to Pegasus/BART ",
"I'm on it! Will ping here once I get it working.\r\n\r\n@phosfuldev, you can refer to this post to see how T5 is exported to onnx\r\nhttps://discuss.huggingface.co/t/speeding-up-t5-inference... | 1,604 | 1,619 | 1,619 | NONE | null | It seems like it's not available now, I got this error:
`Error while converting the model: Unrecognized configuration class <class 'transformers.configuration_pegasus.PegasusConfig'> for this kind of AutoModel: AutoModel.
Model type should be one of RetriBertConfig, T5Config, DistilBertConfig, AlbertConfig, Camembert... | {
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https://api.github.com/repos/huggingface/transformers/issues/8224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8224/comments | https://api.github.com/repos/huggingface/transformers/issues/8224/events | https://github.com/huggingface/transformers/pull/8224 | 734,053,593 | MDExOlB1bGxSZXF1ZXN0NTEzNjg2NTk3 | 8,224 | Add encoder-decoder word embeddings tying by default | {
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"@alexyalunin - this is a great PR, thanks a lot! In general the function does exactly what I had in mind :-) I added some changes that I'd suggest we apply.\r\n\r\nAlso it would be great if we could add a test analogues to this one: https://github.com/huggingface/transformers/blob/93354bc7790ecf768690745db2407b754... | 1,604 | 1,619 | 1,619 | NONE | null | As discussed in #8158 config has `tie_encoder_decoder_word_embeds =True` parameter. `_tie_encoder_decoder_word_embeddings ` is called when Encoder Decoder model is initialized, if sizes are the same, the encoder word embedding matrix is assigned to decoder one, this may cause unexpected behavior if e.g. user chooses to... | {
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https://api.github.com/repos/huggingface/transformers/issues/8223 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8223/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8223/comments | https://api.github.com/repos/huggingface/transformers/issues/8223/events | https://github.com/huggingface/transformers/pull/8223 | 734,024,431 | MDExOlB1bGxSZXF1ZXN0NTEzNjY0NjYx | 8,223 | Create README.md | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/8222 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8222/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8222/comments | https://api.github.com/repos/huggingface/transformers/issues/8222/events | https://github.com/huggingface/transformers/issues/8222 | 734,004,431 | MDU6SXNzdWU3MzQwMDQ0MzE= | 8,222 | Why is the accuracy rate of pre-trained GPT-2 model only ~26%? | {
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"Hi, we try to keep the github issues for bugs only. Could you open a thread on the [forum](https://discuss.huggingface.co) instead? Thank you!"
] | 1,604 | 1,604 | 1,604 | NONE | null | Hello,
I have been trying to analyze HellaSwag dataset with the pre-trained GPT2DoubleHeadsModel. I fine-tuned the model by disabling any change fin weights of the main body (12 layers + embedding layer) while training weights of the multiple-choice head with moderate learning rate.
My understanding is that, since ... | {
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