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DanielPFlorian

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Transformers-Github-Issues

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[ { "id": 1314768611, "node_id": "MDU6TGFiZWwxMzE0NzY4NjEx", "url": "https://api.github.com/repos/huggingface/transformers/labels/wontfix", "name": "wontfix", "color": "ffffff", "default": true, "description": null } ]

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[ "Hey! I haven't been able to reproduce this with what you've given, maybe it is linked to your 'token_type_ids' ? I don't really have enough info on what you're trying to do with only this line. In any case:\r\n\r\n - The warning text seems innocuous.\r\n - I don't see this line in the current (master) codebase, so I'd suggest upgrading and seeing if this issue still crops up.", "@TevenLeScao FYI: I have the same warning message, on Colab,using Xlnet-base-cased (custom script , custom 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" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=h1) Report\n> Merging [#7119](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5636cbb25d248b61bb9027d026dddcd6d1599b0b?el=desc) will **decrease** coverage by `1.26%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7119 +/- ##\n==========================================\n- Coverage 79.48% 78.22% -1.27% \n==========================================\n Files 168 168 \n Lines 32281 32281 \n==========================================\n- Hits 25660 25251 -409 \n- Misses 6621 7030 +409 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_t5.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl90NS5weQ==) | `26.05% <0.00%> (-63.52%)` | :arrow_down: |\n| [src/transformers/pipelines.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9waXBlbGluZXMucHk=) | `25.24% <0.00%> (-55.76%)` | :arrow_down: |\n| [src/transformers/optimization.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb24ucHk=) | `34.28% <0.00%> (-48.00%)` | :arrow_down: |\n| [src/transformers/optimization\\_tf.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb25fdGYucHk=) | `33.33% <0.00%> (-24.33%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9hdXRvLnB5) | `57.28% <0.00%> (-15.08%)` | :arrow_down: |\n| [src/transformers/data/processors/squad.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL3Byb2Nlc3NvcnMvc3F1YWQucHk=) | `13.76% <0.00%> (-14.38%)` | :arrow_down: |\n| [src/transformers/modeling\\_transfo\\_xl\\_utilities.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190cmFuc2ZvX3hsX3V0aWxpdGllcy5weQ==) | `52.98% <0.00%> (-13.44%)` | :arrow_down: |\n| [src/transformers/modeling\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190cmFuc2ZvX3hsLnB5) | `67.10% <0.00%> (-12.67%)` | :arrow_down: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `74.18% <0.00%> (-12.29%)` | :arrow_down: |\n| [src/transformers/modeling\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19hdXRvLnB5) | `70.33% <0.00%> (-11.97%)` | :arrow_down: |\n| ... and [16 more](https://codecov.io/gh/huggingface/transformers/pull/7119/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=footer). Last update [5636cbb...5d7c2ae](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "with both gpus seen:\r\n\r\n```\r\npytest tests/test_trainer.py\r\nTest session starts (platform: linux, Python 3.8.5, pytest 6.0.1, pytest-sugar 0.9.4)\r\nUsing --randomly-seed=3075405078\r\nrootdir: /mnt/nvme1/code/huggingface/transformers-master\r\nplugins: xdist-2.1.0, forked-1.3.0, hydra-core-1.0.0, pspec-0.0.4, sugar-0.9.4, randomly-3.4.1, cov-2.10.1, flakefinder-1.0.0\r\ncollecting ... \r\n tests/test_trainer.py ✓✓✓✓✓ 45% ████▋ \r\n\r\n――――――――――――――――――――――――――――――――――――――――――――――― TrainerIntegrationTest.test_train_and_eval_dataloaders ―――――――――――――――――――――――――――――――――――――――――――――――\r\n\r\nself = <tests.test_trainer.TrainerIntegrationTest testMethod=test_train_and_eval_dataloaders>\r\n\r\n def test_train_and_eval_dataloaders(self):\r\n trainer = get_regression_trainer(learning_rate=0.1, per_device_train_batch_size=16)\r\n> self.assertEqual(trainer.get_train_dataloader().batch_size, 16)\r\nE AssertionError: 32 != 16\r\n\r\ntests/test_trainer.py:144: AssertionError\r\n```\r\n\r\nwith zero or 1 gpu it passes.\r\n", "Could you retest now?", "Success!", "Thanks for checking @stas00 !" ]

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[ "@julien-c wrote that test\r\nhttps://github.com/huggingface/transformers/pull/3800/files#diff-d524f2b47fd9e3af8aea82b9fac55079R88-R90\r\nso it's probably a good idea to ping him instead, as I'm unfamiliar, yet, with that part of `transformers`." ]

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[ "That's a good idea! The closest document we have to this right now is our [philosophy](https://huggingface.co/transformers/philosophy.html), have you checked it out?", "No, I just saw it now. \r\nIt in fact has exactly what I would have wanted to find. Particularly the sentence\r\n> As a consequence, this library is NOT a modular toolbox of building blocks for neural nets. If you want to extend/build-upon the library, just use regular Python/PyTorch/TensorFlow/Keras modules and inherit from the base classes of the library to reuse functionalities like model loading/saving.\r\n\r\n", "We could clean up the readme indeed. It's probably time to remove the migration sections about `pytorh-pretrained-bert` and `pytorch-transformers` and the quick-tour about the examples could be shortened.", "Cleaning the README has been on my TODO for a long time, but I have been actively procrastinating. Will do that this week.", "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" ]

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[ { "id": 1314768611, "node_id": "MDU6TGFiZWwxMzE0NzY4NjEx", "url": "https://api.github.com/repos/huggingface/transformers/labels/wontfix", "name": "wontfix", "color": "ffffff", "default": true, "description": null } ]

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[ "Hey @lonelydancer, \r\n\r\nyou can define which decoder you want to use. It can be either a pretrained model or a randomly initialized model. The model just has to be part of `AutoModelForCausalLM` to be loaded into the EncoderDecoderModel. If you give me some more details on your use-case I can probably help you :-) ", "@patrickvonplaten \r\nHi,here is my code.It seems ok.\r\n\r\ntokenizer = BertTokenizer.from_pretrained(model_name)\r\ntokenizer.bos_token = tokenizer.cls_token\r\ntokenizer2 = BertTokenizer(vocab_file=voc_file, tokenize_chinese_chars=False) # Initialize tokenizer use my own vocab\r\ntokenizer2.bos_token = tokenizer2.cls_token\r\ndecoder_model = AutoModelForCausalLM.from_config(config=decoder_config)\r\nconfig = EncoderDecoderConfig.from_encoder_decoder_configs(encoder_config, decoder_config)\r\n\r\n", "Why would you need two tokenizers ? \r\nShould the model encode in English and decode to Chinese?", "@patrickvonplaten inmy task，encoder model tokenizer is char level， and the decoder model is a word sequence.", "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" ]

[ { "id": 1314768611, "node_id": "MDU6TGFiZWwxMzE0NzY4NjEx", "url": "https://api.github.com/repos/huggingface/transformers/labels/wontfix", "name": "wontfix", "color": "ffffff", "default": true, "description": null } ]

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[ "Well if you want the embeddings of words with their context, your best bet is to take the entire output of the model. If you take only the word embeddings, these are contextless. \r\n\r\nYou should take the model with no head, i.e., the base model: `BertModel`, `GPT2Model`, etc. output to get this value.", "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" ]

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[ "@parthplc Did you find an answer to this question?", "@jsrozner yeah, I was able to finetune t5 for text generation.", "> @jsrozner yeah, I was able to finetune t5 for text generation.\r\n\r\nIs your work publicly visible anywhere? (colab or a repository) I was looking for some examples to adapt to my use case. Although I got a helpful response here: https://discuss.huggingface.co/t/t5-for-conditional-generation-getting-started/1284/2", "I used the same @jsrozner ", "@parthplc @jsrozner can someone share a nb of using finetune.py + t5, would love to see some examples for reference. ", "Check out \r\nhttps://discuss.huggingface.co/t/t5-seq2seq-custom-fine-tuning/1497/6 (details on tweaking your vocab if you need it)\r\n\r\nThe link above (https://discuss.huggingface.co/t/t5-for-conditional-generation-getting-started/1284) has links to other useful T5 posts on huggingface.\r\n\r\nAnd I am looking for answers to this post for some other tips and tricks: \r\nhttps://discuss.huggingface.co/t/t5-tips-for-finetuning-on-crossword-clues-clue-answer/1514\r\n\r\nTo actually run, you should do this (called \"installing from source):\r\n- clone transformers repository\r\n- create new conda or other env\r\n- (from top level directory), pip install -e .\r\n- cd examples && pip install -r requirements.txt\r\n- cd seq2seq\r\n- ./finetune_t5_bart_tiny.sh (or whatever the name is) -- will run two test epochs\r\n\r\nAfter that it's just a matter of choosing the model, tokenizer, setting up your data, and then tweaking params. Most of that is in the posts I linked!\r\n" ]

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[ "In BertLMHeadModel ,\r\nshift the label\r\n*prediction_scores = prediction_scores[:, :-1, :].contiguous()\r\n*labels = labels[:, 1:].contiguous()" ]

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[ "Nope, use Helsinki-NLP!", "LMK if you have trouble finding your language.", "**Swahili / Uzbek / Telugu / Gujrati** any of them will do. Also, I just need to do back-translation, do u have a code snippet to do translation using Helsinki-NLP", "```python\r\nmname = 'Helsinki-NLP/opus-mt-en-sw'\r\nsrc_text = ['I am a small frog with tiny legs.']\r\ntorch_device = 'cpu'#'cuda' if torch.cuda.is_available() else 'cpu'\r\nmodel = AutoModelForSeq2SeqLM.from_pretrained(mname)\r\ntok = AutoTokenizer.from_pretrained(mname)\r\ntranslated = model.generate(**tok(src_text, return_tensors='pt'))\r\ntok.batch_decode(translated, skip_special_tokens=True)\r\n# ['Mimi ni chura mdogo mwenye miguu midogo.']\r\n```\r\nFull list of models [here](https://huggingface.co/Helsinki-NLP)\r\n\r\nlet's move to [here](https://discuss.huggingface.co/t/marian-language-discovery-questions/739/3) for further language discovery questions! Thanks!", "Backtranslation snippet:\r\n```python\r\nfrom transformers import AutoModelForSeq2SeqLM, AutoTokenizer\r\nmname_fwd = 'Helsinki-NLP/opus-mt-en-ceb'\r\nmname_bwd = 'Helsinki-NLP/opus-mt-ceb-en'\r\nsrc_text = ['I am a small frog with tiny legs.']\r\ntorch_device = 'cpu'#'cuda' if torch.cuda.is_available() else 'cpu'\r\nfwd = AutoModelForSeq2SeqLM.from_pretrained(mname_fwd).to(torch_device)\r\nfwd_tok = AutoTokenizer.from_pretrained(mname_fwd)\r\nbwd_tok = AutoTokenizer.from_pretrained(mname_bwd)\r\nbwd = AutoModelForSeq2SeqLM.from_pretrained(mname_bwd).to(torch_device)\r\nif torch_device == 'cuda':\r\n fwd = fwd.half()\r\n bwd = bwd.half()\r\n\r\nfwd_batch = fwd_tok(src_text, return_tensors='pt').to(torch_device)\r\ntranslated = fwd.generate(**fwd_batch)\r\ntranslated_txt = fwd_tok.batch_decode(translated, skip_special_tokens=True)\r\nbwd_batch = bwd_tok(translated_txt, return_tensors='pt').to(torch_device)\r\nbacktranslated = bwd.generate(**bwd_batch)\r\nbwd_tok.batch_decode(backtranslated, skip_special_tokens=True)\r\n# ['I am a small toad with small feet.']\r\n```", "```\r\nimport ast\r\nimport torch\r\nimport os\r\nfrom transformers import AutoModelForSeq2SeqLM, AutoTokenizer\r\nos.environ[\"CUDA_VISIBLE_DEVICES\"]=\"2\"\r\nmodel1 = 'Helsinki-NLP/opus-mt-en-ceb'\r\nmodel2 = 'Helsinki-NLP/opus-mt-ceb-en'\r\ntorch_device = 'cuda' if torch.cuda.is_available() else 'cpu'\r\nfwd = AutoModelForSeq2SeqLM.from_pretrained(model1).to(torch_device)\r\nfwd_tok = AutoTokenizer.from_pretrained(model1)\r\nbwd_tok = AutoTokenizer.from_pretrained(model2)\r\nbwd = AutoModelForSeq2SeqLM.from_pretrained(model2).to(torch_device)\r\nif torch_device == 'cuda':\r\n fwd = fwd.half()\r\n bwd = bwd.half()\r\n\r\n\r\nfor line in open('train_rep.txt'):\r\n line = ast.literal_eval(line.strip())\r\n fwd_batch = fwd_tok(line, return_tensors='pt').to(torch_device)\r\n translated = fwd.generate(**fwd_batch)\r\n translated_txt = fwd_tok.batch_decode(translated, skip_special_tokens=True)\r\n bwd_batch = bwd_tok(translated_txt, return_tensors='pt').to(torch_device)\r\n backtranslated = bwd.generate(**bwd_batch)\r\n orginal_text = bwd_tok.batch_decode(backtranslated, skip_special_tokens=True)\r\n print(orginal_text)\r\n break\r\n\r\n```\r\n\r\ngot\r\n\r\n\r\n\r\n ```\r\n File \"/nas/home/tuhinc/miniconda3/envs/advattack/lib/python3.6/site-packages/transformers/tokenization_utils_base.py\", line 555, in convert_to_tensors\r\n tensor = as_tensor(value)\r\nValueError: expected sequence of length 27 at dim 1 (got 47)\r\n\r\nDuring handling of the above exception, another exception occurred:\r\n\r\nTraceback (most recent call last):\r\n File \"bt.py\", line 25, in <module>\r\n fwd_batch = fwd_tok(line, return_tensors='pt').to(torch_device)\r\n File \"/nas/home/tuhinc/miniconda3/envs/advattack/lib/python3.6/site-packages/transformers/tokenization_utils_base.py\", line 1954, in __call__\r\n **kwargs,\r\n File \"/nas/home/tuhinc/miniconda3/envs/advattack/lib/python3.6/site-packages/transformers/tokenization_utils_base.py\", line 2139, in batch_encode_plus\r\n **kwargs,\r\n File \"/nas/home/tuhinc/miniconda3/envs/advattack/lib/python3.6/site-packages/transformers/tokenization_utils.py\", line 548, in _batch_encode_plus\r\n verbose=verbose,\r\n File \"/nas/home/tuhinc/miniconda3/envs/advattack/lib/python3.6/site-packages/transformers/tokenization_utils.py\", line 614, in _batch_prepare_for_model\r\n batch_outputs = BatchEncoding(batch_outputs, tensor_type=return_tensors)\r\n File \"/nas/home/tuhinc/miniconda3/envs/advattack/lib/python3.6/site-packages/transformers/tokenization_utils_base.py\", line 186, in __init__\r\n self.convert_to_tensors(tensor_type=tensor_type, prepend_batch_axis=prepend_batch_axis)\r\n File \"/nas/home/tuhinc/miniconda3/envs/advattack/lib/python3.6/site-packages/transformers/tokenization_utils_base.py\", line 572, in convert_to_tensors\r\n \"Unable to create tensor, you should probably activate truncation and/or padding \"\r\nValueError: Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' 'truncation=True' to have batched tensors with the same length.\r\n\r\n\r\n```\r\n\r\n\r\nIt works for single sentences but fails for an array or sentences", "Got it had to do padding=True", "`padding='longest'` is the best setting IMO." ]

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[ "Failure is spurious, merging." ]

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[ "After signature discussion is complete, lets add some test coverage.\r\nCan copy/modify [`test_run_eval`](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/test_seq2seq_examples.py#L287)", "> * Important that we can `utils.json_load` the dumped files.\r\n\r\nDo you see a reason why it should fail to do so? \r\n\r\nbut the point is moot if we merge into one dict as discussed above.", "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7109?src=pr&el=h1) Report\n> Merging [#7109](https://codecov.io/gh/huggingface/transformers/pull/7109?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/90cde2e938638e64a8696a12b79ee5f52364b162?el=desc) will **increase** coverage by `1.00%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7109?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7109 +/- ##\n==========================================\n+ Coverage 79.62% 80.63% +1.00% \n==========================================\n Files 168 168 \n Lines 32284 32284 \n==========================================\n+ Hits 25706 26031 +325 \n+ Misses 6578 6253 -325 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7109?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_electra.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9lbGVjdHJhLnB5) | `25.13% <0.00%> (-73.83%)` | :arrow_down: |\n| [src/transformers/tokenization\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25feGxuZXQucHk=) | `66.66% <0.00%> (-23.43%)` | :arrow_down: |\n| [src/transformers/tokenization\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdHJhbnNmb194bC5weQ==) | `20.53% <0.00%> (-21.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_transfo\\_xl\\_utilities.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190cmFuc2ZvX3hsX3V0aWxpdGllcy5weQ==) | `52.98% <0.00%> (-13.44%)` | :arrow_down: |\n| [src/transformers/modeling\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190cmFuc2ZvX3hsLnB5) | `67.10% <0.00%> (-12.67%)` | :arrow_down: |\n| [src/transformers/modeling\\_mobilebert.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19tb2JpbGViZXJ0LnB5) | `79.21% <0.00%> (-10.25%)` | :arrow_down: |\n| [src/transformers/tokenization\\_dpr.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZHByLnB5) | `53.15% <0.00%> (-4.51%)` | :arrow_down: |\n| [src/transformers/configuration\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2JhcnQucHk=) | `90.00% <0.00%> (-4.00%)` | :arrow_down: |\n| [src/transformers/tokenization\\_utils\\_base.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfYmFzZS5weQ==) | `90.52% <0.00%> (-3.52%)` | :arrow_down: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `85.46% <0.00%> (-1.26%)` | :arrow_down: |\n| ... and [7 more](https://codecov.io/gh/huggingface/transformers/pull/7109/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7109?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7109?src=pr&el=footer). Last update [90cde2e...875eac8](https://codecov.io/gh/huggingface/transformers/pull/7109?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "(after we sort out these few points you pointed out)\r\n\r\nI have discovered more work/functionality is needed for the new script - need to be able to recover from CUDA OOM, want to tap into `--info`, etc. So probably, let's merge this first round, and I will continue working on improving it in the future PRs. The changes of this PR for run_eval are all good to go and can be used right away. unless you want to merge all the return values from `run_generate` into one dict, instead of returning a tuple of 2 separate ones. Let me know and I will attend to that first then.\r\n\r\nAnd, yes, all the tests will be added too - it's on my short todo list.", "Yes one dict please!", "OK, test added.\r\n\r\n`test_run_eval_search` is about 3 times slower than `test_run_eval` (it runs eval 4 times). Still OK to leave it as a normal test (no slow)?\r\n\r\n`test_run_eval`:\r\n```\r\nResults (15.45s):\r\n 3 passed\r\n\r\nreal 0m16.193s\r\nuser 0m13.079s\r\nsys 0m1.010s\r\n```\r\n`test_run_eval_search`\r\n```\r\nResults (51.18s):\r\n 3 passed\r\n\r\nreal 0m51.962s\r\nuser 0m42.695s\r\nsys 0m1.688s\r\n```\r\n\r\nand currently supporting:\r\n```\r\ntask_score_names = {\r\n \"translation\": [\"bleu\"],\r\n \"translation_en_to_de\": [\"bleu\"],\r\n \"summarization\": [\"rouge1\", \"rouge2\", \"rougeL\"],\r\n}\r\n```\r\n", "How do I go about creating a `TINY_FSMT` model, @sshleifer?", "this looks like a hack:\r\n```\r\ntry:\r\n from .utils import calculate_bleu, calculate_rouge, parse_numeric_n_bool_cl_kwargs, use_task_specific_params\r\nexcept ImportError:\r\n from utils import calculate_bleu, calculate_rouge, parse_numeric_n_bool_cl_kwargs, use_task_specific_params\r\n```\r\nwould it be better to use `dirname(__file__)` and insert that into `sys.path` so it works no matter where it gets invoked from?\r\n\r\nActually adding `examples/seq2seq/conftest.py` that will insert a resolved `examples/seq2seq` into `sys.path` is probably a better fix as it'll solve this issue for all tests under that folder. (see `examples/conftest.py`). and then copy that into each of the examples folders that will tweak their corresponding path. (`pytest` always runs any `conftest.py` it finds first)\r\n\r\nIf you're in agreement I will make another PR to fix those.", "\r\n\r\nPlease mark your test `@slow` mine should probably be `@slow` too. Ideally we have one fast one.\r\n\r\n\r\n`conftest` great idea! If you change imports, its important to verify that scripts actually run afterwards (you can get the unittests passing without try/except).", "Tiny model code (roughly):\r\n```python\r\ntok = FSMTTokenizer.from_pretrained('facebook/wmt19-en-de')\r\nconfig = FMSTConfig(decoder_layers=1, encoder_layers=1, vocab_size=vocab_size, d_model=4, encoder_ffn_dim=4, decoder_ffn_dim=4, encoder_attention_heads=1, decoder_attention_heads=1)\r\ntiny_model = FSMTModel(config)\r\nprint(tiny_model.num_parameters())\r\n# Test it\r\nsrc_text, tgt_text = ['I am a small frog.'], ['Ich bin ein kleiner frosch.']\r\nbatch = tok.prepare_seq2seq_batch(src_text, tgt_texts=tgt_text)\r\noutputs = tiny_model(**batch, return_dict=True)\r\nprint(outputs.loss)\r\ntiny_model.save_pretrained('tiny_fsmt_en_de')\r\n# transformers-cli upload tiny_fsmt_en_de stas\r\n```", "> Please mark your test `@slow` mine should probably be `@slow` too. Ideally we have one fast one.\r\n\r\nProbably having just one of of the models is good enough for a fast test, since it checks that the script works. And then do all the others slow?\r\n\r\n> `conftest` great idea! If you change imports, its important to verify that scripts actually run afterwards (you can get the unittests passing without try/except).\r\n\r\nWill do.\r\n", "👍 ", "> Tiny model code (roughly):\r\n\r\nThank you!\r\n\r\ndon't we want to:\r\n1. include the tokenizer files in the s3 model? (vocabs and merges?)\r\n2. would it make sense to create a tiny vocab and use that for tokenizer? Otherwise with these small settings I still get 336552 params. ", "1) yes\r\n2) tiny vocab would definitely be better, but is not required! tiny_mbart vocab size is around 300K also.", "OK, here is the full script:\r\n```\r\nfrom transformers import FSMTTokenizer, FSMTConfig, FSMTForConditionalGeneration\r\nmname = \"facebook/wmt19-en-de\"\r\ntokenizer = FSMTTokenizer.from_pretrained(mname)\r\n# get the correct vocab sizes, etc. from the master model\r\nconfig = FSMTConfig.from_pretrained(mname)\r\nconfig.update(dict(\r\n d_model=4,\r\n encoder_layers=1, decoder_layers=1,\r\n encoder_ffn_dim=4, decoder_ffn_dim=4,\r\n encoder_attention_heads=1, decoder_attention_heads=1))\r\ntiny_model = FSMTForConditionalGeneration(config)\r\nprint(f\"num of params {tiny_model.num_parameters()}\")\r\n# Test it\r\nbatch = tokenizer.prepare_seq2seq_batch([\"Making tiny model\"])\r\noutputs = tiny_model(**batch, return_dict=True)\r\n# Save\r\ntiny_model.save_pretrained('tiny-wmt19-en-de')\r\ntokenizer.save_pretrained('tiny-wmt19-en-de')\r\n```\r\n\r\nI end up with 3.1MB of files:\r\n\r\n```\r\nl tiny-wmt19-en-de/\r\ntotal 3.1M\r\n-rw-rw-r-- 1 stas stas 2.0K Sep 17 11:30 config.json\r\n-rw-rw-r-- 1 stas stas 308K Sep 17 11:30 merges.txt\r\n-rw-rw-r-- 1 stas stas 1.4M Sep 17 11:30 pytorch_model.bin\r\n-rw-rw-r-- 1 stas stas 85 Sep 17 11:30 special_tokens_map.json\r\n-rw-rw-r-- 1 stas stas 111 Sep 17 11:30 tokenizer_config.json\r\n-rw-rw-r-- 1 stas stas 747K Sep 17 11:30 vocab-src.json\r\n-rw-rw-r-- 1 stas stas 747K Sep 17 11:30 vocab-tgt.json\r\n```\r\n\r\nIs this reasonable for non-slow tests? \r\n> tiny vocab would definitely be better, but is not required! tiny_mbart vocab size is around 300K also.\r\n\r\nOr should I make a custom small vocab? It'd shave off about half the size. Probably letter-long bpe codes, so that it could tokenize any input still.\r\n\r\nHere currently we have 1.5M in dict files.", "I would try it and give up if it's hard.\r\nI've given up on trying to shrink sentencepiece vocabs." ]

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[ "Didn't know docstring inheritance worked like that. Very cool!", "Docstring looks great to me, thanks for adding!", "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=h1) Report\n> Merging [#7108](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/206b78d4850d3c6fe85a015654293fc4b803ed7b?el=desc) will **increase** coverage by `0.02%`.\n> The diff coverage is `100.00%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7108 +/- ##\n==========================================\n+ Coverage 80.84% 80.87% +0.02% \n==========================================\n Files 168 168 \n Lines 32284 32285 +1 \n==========================================\n+ Hits 26099 26109 +10 \n+ Misses 6185 6176 -9 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/tokenization\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7108/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fYmFydC5weQ==) | `100.00% <ø> (ø)` | |\n| [src/transformers/tokenization\\_mbart.py](https://codecov.io/gh/huggingface/transformers/pull/7108/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbWJhcnQucHk=) | `96.82% <ø> (ø)` | |\n| [src/transformers/tokenization\\_t5.py](https://codecov.io/gh/huggingface/transformers/pull/7108/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdDUucHk=) | `95.04% <ø> (ø)` | |\n| [src/transformers/tokenization\\_marian.py](https://codecov.io/gh/huggingface/transformers/pull/7108/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbWFyaWFuLnB5) | `99.15% <100.00%> (ø)` | |\n| [src/transformers/tokenization\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7108/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHMucHk=) | `89.88% <100.00%> (+0.03%)` | :arrow_up: |\n| [src/transformers/data/data\\_collator.py](https://codecov.io/gh/huggingface/transformers/pull/7108/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFfY29sbGF0b3IucHk=) | `92.83% <0.00%> (-0.36%)` | :arrow_down: |\n| [src/transformers/file\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7108/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9maWxlX3V0aWxzLnB5) | `83.08% <0.00%> (+0.24%)` | :arrow_up: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7108/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `86.46% <0.00%> (+2.25%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=footer). Last update [206b78d...6adf419](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "@stas00 let me know if this interests you, no pressure", "Yes, please. Especially since I asked for it ;)", "Cleaned up a bit [here](https://github.com/huggingface/transformers/pull/7110)\r\nIt is super fast!\r\n\r\nThis is the current workflow though :(\r\n\r\n```\r\npython -m torch.distributed.launch --nproc_per_node=2 run_distributed_eval.py --model_name sshleifer/distilbart-xsum-12-3 --save_dir tmp_gen --input_path xsum --type_path test --max_source_length 1024 --length_penalty 0.6\r\npython aggregate_distributed_results.py tmp_gen tmp_gen --just_metrics\r\nmv tmp_gen/metrics.json test_rouge.json\r\nrm -rf tmp_gen\r\n```\r\n", "Also metrics diverge a bit from 1 GPU, hopefully because `DistributedSortishSampler` adds extra examples here:\r\nhttps://github.com/huggingface/transformers/blob/master/examples/seq2seq/utils.py#L258\r\n\r\nThat issue is out of scope for this PR, just a note. I may PR a kwarg to the sampler to not add extra examples separately in a non conflicting way.\r\n\r\nAlso the code is still 4/10 clean, feel free to rename variables/improve readability as you see fit.", "Still todo:\r\n\r\n[ ] better solution than writing a bunch of json files and hoping they all complete within 5 mins of each other.\r\n[ ] diagnosing differences in generations.\r\n\r\n\r\nI will flesh these out later on." ]

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[ "I had the same error, I had it downgraded `pip install transformers==3.0.2` in order to work.", "My problem was not that I needed to downgrade but the fact that I needed new functionality from the newest transformers to work while also working with the features of simalign. I solved this bug here: https://github.com/cisnlp/simalign/issues/10#issuecomment-694407502" ]

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[ "hi @cmdllx , I don't think longformer will be necessarily faster than bert-base-cased. The goal of longformer is to make memory complexity of attention layer liner w.r.t to seq length instead of quadratic, so it saves memory, not compute. More the seq-length , more will be inference time.", "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" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=h1) Report\n> Merging [#7101](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/90cde2e938638e64a8696a12b79ee5f52364b162?el=desc) will **increase** coverage by `0.31%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7101 +/- ##\n==========================================\n+ Coverage 79.62% 79.94% +0.31% \n==========================================\n Files 168 168 \n Lines 32284 32284 \n==========================================\n+ Hits 25706 25809 +103 \n+ Misses 6578 6475 -103 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9sb25nZm9ybWVyLnB5) | `16.37% <0.00%> (-82.31%)` | :arrow_down: |\n| [src/transformers/modeling\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19sb25nZm9ybWVyLnB5) | `19.71% <0.00%> (-72.34%)` | :arrow_down: |\n| [src/transformers/tokenization\\_bert\\_generation.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fYmVydF9nZW5lcmF0aW9uLnB5) | `39.28% <0.00%> (-55.36%)` | :arrow_down: |\n| [src/transformers/tokenization\\_mbart.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbWJhcnQucHk=) | `57.14% <0.00%> (-39.69%)` | :arrow_down: |\n| [src/transformers/tokenization\\_funnel.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZnVubmVsLnB5) | `62.79% <0.00%> (-34.89%)` | :arrow_down: |\n| [src/transformers/configuration\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2xvbmdmb3JtZXIucHk=) | `75.00% <0.00%> (-25.00%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `75.91% <0.00%> (-21.17%)` | :arrow_down: |\n| [src/transformers/modeling\\_mobilebert.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19tb2JpbGViZXJ0LnB5) | `79.21% <0.00%> (-10.25%)` | :arrow_down: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `86.46% <0.00%> (-0.26%)` | :arrow_down: |\n| [src/transformers/pipelines.py](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9waXBlbGluZXMucHk=) | `80.75% <0.00%> (-0.25%)` | :arrow_down: |\n| ... and [8 more](https://codecov.io/gh/huggingface/transformers/pull/7101/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=footer). Last update [90cde2e...52a9e54](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "I'm curious - why is it OK to have XXX in the code, but not in the docs? especially developer-oriented (i.e. end users most likely won't read this). Is it XXX that's the problem and not the fact that there is a note suggesting more to come in the future/this section is incomplete? Would TODO be acceptable?", "@sgugger, thank you for much for this very detailed feedback. I think I got it all. I will make another path on back quotes to catch any that you and I have missed that are in markdown style.\r\n\r\ngithub sucked big way on this PR with multiple code suggestions - every time I approved the suggested change, it'd reload the page, hide all the other suggestion and scroll away - I had to unhide suggestions, scroll to find the next item, and so on - about 20 times! :( May I suggest that in such a situation of dozens of proposed doc changes, it'd be faster for both of us, if you were to just commit the changes directly. (please correct me if I'm wrong and this is not faster for you) I will learn from the diffs, the changes are mostly self-explanatory.\r\n", "> Note that you can check a preview of the docs built on top of this PR [here](https://84533-155220641-gh.circle-artifacts.com/0/docs/_build/html/testing.html).\r\n\r\nI just run `make docs` and checked the result - but obviously i didn't see many things you did see.\r\n\r\nLet me know if anything else needs to be changed. The doc will have extra additions later I just had to stop somewhere for the first pass.\r\n", "Thanks for updating, this looks great so merging!" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=h1) Report\n> Merging [#7100](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/90cde2e938638e64a8696a12b79ee5f52364b162?el=desc) will **decrease** coverage by `1.23%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7100 +/- ##\n==========================================\n- Coverage 79.62% 78.39% -1.24% \n==========================================\n Files 168 168 \n Lines 32284 32284 \n==========================================\n- Hits 25706 25308 -398 \n- Misses 6578 6976 +398 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/configuration\\_reformer.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX3JlZm9ybWVyLnB5) | `21.62% <0.00%> (-78.38%)` | :arrow_down: |\n| [src/transformers/modeling\\_reformer.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yZWZvcm1lci5weQ==) | `16.87% <0.00%> (-77.64%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_xlm.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl94bG0ucHk=) | `18.94% <0.00%> (-74.32%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9ncHQyLnB5) | `71.84% <0.00%> (-23.17%)` | :arrow_down: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `86.46% <0.00%> (-0.26%)` | :arrow_down: |\n| [src/transformers/tokenization\\_utils\\_base.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfYmFzZS5weQ==) | `93.91% <0.00%> (-0.14%)` | :arrow_down: |\n| [src/transformers/data/data\\_collator.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFfY29sbGF0b3IucHk=) | `93.18% <0.00%> (ø)` | |\n| [src/transformers/modeling\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl91dGlscy5weQ==) | `87.33% <0.00%> (+0.64%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_albert.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9hbGJlcnQucHk=) | `90.90% <0.00%> (+69.43%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/7100/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl94bG5ldC5weQ==) | `92.17% <0.00%> (+71.04%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=footer). Last update [90cde2e...1935a23](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Sorry, @stas00 I didn't notice that.", "All is good, it was easy to miss, @Joel-hanson. " ]

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[ "The solution is above, so closing this - as it was a FYI post if someone else runs into this." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=h1) Report\n> Merging [#7096](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/26d5475d4b6644528956df3020dbaa436b443706?el=desc) will **increase** coverage by `3.91%`.\n> The diff coverage is `94.59%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7096 +/- ##\n==========================================\n+ Coverage 75.91% 79.82% +3.91% \n==========================================\n Files 195 168 -27 \n Lines 39827 32326 -7501 \n==========================================\n- Hits 30233 25803 -4430 \n+ Misses 9594 6523 -3071 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/tokenization\\_utils\\_base.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfYmFzZS5weQ==) | `93.70% <87.50%> (+0.76%)` | :arrow_up: |\n| [src/transformers/tokenization\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fY3RybC5weQ==) | `80.00% <100.00%> (-16.12%)` | :arrow_down: |\n| [src/transformers/tokenization\\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZ3B0Mi5weQ==) | `97.31% <100.00%> (+3.80%)` | :arrow_up: |\n| [src/transformers/tokenization\\_marian.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbWFyaWFuLnB5) | `99.20% <100.00%> (+0.06%)` | :arrow_up: |\n| [src/transformers/tokenization\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fb3BlbmFpLnB5) | `84.89% <100.00%> (+1.18%)` | :arrow_up: |\n| [src/transformers/tokenization\\_xlm.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25feGxtLnB5) | `83.39% <100.00%> (+0.32%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9sb25nZm9ybWVyLnB5) | `16.37% <0.00%> (-82.22%)` | :arrow_down: |\n| [src/transformers/modeling\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19sb25nZm9ybWVyLnB5) | `19.71% <0.00%> (-54.44%)` | :arrow_down: |\n| [src/transformers/tokenization\\_camembert.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fY2FtZW1iZXJ0LnB5) | `37.03% <0.00%> (-53.13%)` | :arrow_down: |\n| [src/transformers/optimization.py](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb24ucHk=) | `34.28% <0.00%> (-48.00%)` | :arrow_down: |\n| ... and [163 more](https://codecov.io/gh/huggingface/transformers/pull/7096/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=footer). Last update [26d5475...6ca458e](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=h1) Report\n> Merging [#7095](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/b76cb1c3dfc64d1dcaddc3d6d9313dddeb626d05?el=desc) will **decrease** coverage by `1.28%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7095 +/- ##\n==========================================\n- Coverage 81.63% 80.34% -1.29% \n==========================================\n Files 168 168 \n Lines 32257 32257 \n==========================================\n- Hits 26333 25918 -415 \n- Misses 5924 6339 +415 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_funnel.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9mdW5uZWwucHk=) | `18.53% <0.00%> (-75.51%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_electra.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9lbGVjdHJhLnB5) | `25.13% <0.00%> (-73.83%)` | :arrow_down: |\n| [src/transformers/modeling\\_marian.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19tYXJpYW4ucHk=) | `60.00% <0.00%> (-30.00%)` | :arrow_down: |\n| [src/transformers/activations.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9hY3RpdmF0aW9ucy5weQ==) | `85.00% <0.00%> (-5.00%)` | :arrow_down: |\n| [src/transformers/configuration\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2JhcnQucHk=) | `90.00% <0.00%> (-4.00%)` | :arrow_down: |\n| [src/transformers/modeling\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19iYXJ0LnB5) | `93.77% <0.00%> (-0.68%)` | :arrow_down: |\n| [...rc/transformers/data/datasets/language\\_modeling.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFzZXRzL2xhbmd1YWdlX21vZGVsaW5nLnB5) | `92.94% <0.00%> (-0.59%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_bert.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9iZXJ0LnB5) | `98.38% <0.00%> (-0.36%)` | :arrow_down: |\n| [src/transformers/tokenization\\_utils\\_base.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfYmFzZS5weQ==) | `93.77% <0.00%> (-0.14%)` | :arrow_down: |\n| [src/transformers/data/data\\_collator.py](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFfY29sbGF0b3IucHk=) | `93.18% <0.00%> (ø)` | |\n| ... and [9 more](https://codecov.io/gh/huggingface/transformers/pull/7095/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=footer). Last update [b76cb1c...bfde495](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Thanks!" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=h1) Report\n> Merging [#7093](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/b76cb1c3dfc64d1dcaddc3d6d9313dddeb626d05?el=desc) will **decrease** coverage by `0.75%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7093 +/- ##\n==========================================\n- Coverage 81.63% 80.87% -0.76% \n==========================================\n Files 168 168 \n Lines 32257 32257 \n==========================================\n- Hits 26333 26088 -245 \n- Misses 5924 6169 +245 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_funnel.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9mdW5uZWwucHk=) | `18.53% <0.00%> (-75.51%)` | :arrow_down: |\n| [src/transformers/modeling\\_marian.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19tYXJpYW4ucHk=) | `60.00% <0.00%> (-30.00%)` | :arrow_down: |\n| [src/transformers/activations.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9hY3RpdmF0aW9ucy5weQ==) | `85.00% <0.00%> (-5.00%)` | :arrow_down: |\n| [src/transformers/configuration\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2JhcnQucHk=) | `90.00% <0.00%> (-4.00%)` | :arrow_down: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `84.21% <0.00%> (-2.26%)` | :arrow_down: |\n| [src/transformers/modeling\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19iYXJ0LnB5) | `93.77% <0.00%> (-0.68%)` | :arrow_down: |\n| [...rc/transformers/data/datasets/language\\_modeling.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFzZXRzL2xhbmd1YWdlX21vZGVsaW5nLnB5) | `92.94% <0.00%> (-0.59%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_bert.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9iZXJ0LnB5) | `98.38% <0.00%> (-0.36%)` | :arrow_down: |\n| [src/transformers/tokenization\\_utils\\_base.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfYmFzZS5weQ==) | `93.77% <0.00%> (-0.14%)` | :arrow_down: |\n| [src/transformers/data/data\\_collator.py](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFfY29sbGF0b3IucHk=) | `93.18% <0.00%> (ø)` | |\n| ... and [8 more](https://codecov.io/gh/huggingface/transformers/pull/7093/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=footer). Last update [b76cb1c...c0db32e](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Feel free to PR `examples/seq2seq/scripts/fsmt`, `examples/seq2seq/fsmt_scripts`, or another git repo that you link to from model cards.\r\nI have some bulk marian converters I can check in also.\r\n\r\n", "Thank you for the suggestions, @sshleifer.\r\n\r\nFor eval scripts I can see some place under `examples`, but for conversion scripts - these are core models we are talking about.\r\n\r\nI think those should be close to the code that generates/converts models - so that anybody in the future could regenerate things - if any issues were found. That's why I propose a dedicated area under `transformers` repo root directory.\r\n\r\nSome of those scripts are somewhat complex - it's not just downloading a single tar ball and running convert on it. In the case of allenai models that are about to be added different tarballs are needed and they need to be combined in a certain way. Hence I believe it'll save time to the project in the future.\r\n\r\nAnd the eval scripts now feed into the conversion scripts - so no longer examples either. we can now search the hparams and get the model config include `generate` params that are pre-optimized - so core, not examples.", "OK, you've convinced me. @julien-c, @LysandreJik @sgugger what do you guys think about \r\n\r\n`transformers/scripts/{model_name}/` as a place to checkin end to end (possibly bulk) conversion scripts?\r\n\r\nRationale:\r\nMarian + FSMT require a few steps before `transformers-cli convert` + `transformers-cli upload` to\r\n \r\n+ (a) fetch correct tarballs \r\n+ (b) name them correctly\r\n+ (c) (just fsmt) decide on correct beam search parameters\r\n\r\nand it would aid reproducibility to have all that logic/knowledge checked in.", "I have another set of scripts - automatic model card writers - useful for when we have sets of models, which are mainly the same, but the sample code/scores are unique. \r\n\r\nSo currently for 9 `fsmt` models that were just put on s3 I have 9 scripts:\r\n\r\n- 3 conversion scripts (bash)\r\n- 3 model_card scripts (python)\r\n- 3 hparam search eval scripts (bash)\r\n\r\nand I currently have 3 sets of the above (a set for 4 wmt19 fairseq models, a set for 3 wmt16 allenai models, a set for 2 wmt19 allenai models), so 9 scripts in total.\r\n", "Made a PR: https://github.com/huggingface/transformers/pull/7155" ]

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[ "Hi @xixiaoyao \r\nThe `config` argument is not required for `from_pretrained`, when `config` is not passed it loads the saved config from the model dir. However, it's necessary to pass `config` when you wan't to override some config value, like setting `gradient_checkpointing` to `True`. Here's how you can override the `config` and pass it to `from_pretrained`.\r\n\r\n```python\r\nconfig = XXConfig.from_pretrained(path, gradient_checkpointing=True)\r\nmodel = XXModel.from_pretrained(path, config=config)\r\n```", "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" ]

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[ "Hey @xixiaoyao,\r\n\r\nSorry I cannot reproduce the error. Both when running `run_squad.py` and this snippet (which is essentially the same as in `run_squad.py`):\r\n\r\n```python\r\nfrom transformers import AutoModelForQuestionAnswering\r\nmodel = AutoModelForQuestionAnswering.from_pretrained(\"allenai/longformer-base-4096\", gradient_checkpointing=True)\r\n```\r\n\r\nI do not get any error. Can you post a code snippet (at short as possible) that I could copy paste to reproduce the error? \r\n\r\nThanks!", "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" ]

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[ "You are user the wrong logger I think. Transformers now uses a centralized logger so you should go:\r\n```\r\nimport transformers\r\ntransformers.logging.set_verbosity_info()\r\n```\r\nto set the verbosity to the INFO level. Not sure it there is an additional issue in tf_trainer or not.", "> \r\n> \r\n> You are user the wrong logger I think. Transformers now uses a centralized logger so you should go:\r\n> \r\n> ```\r\n> import transformers\r\n> transformers.logging.set_verbosity_info()\r\n> ```\r\n> \r\n> to set the verbosity to the INFO level. Not sure it there is an additional issue in tf_trainer or not.\r\n\r\n@sgugger , but I am testing `run_tf_glue.py`, not my own script. I assume it should work directly, no? Other scripts like `run_tf_ner.py` also have the same issue. And it seems there is no logging level command-line argument to specify.", "As @sgugger said, all the examples uses the Python logging lib instead of the HF wrapper.\n\nI will do a fix early next week.", "@sgugger \r\n\r\nWhile I worked on #7125, I found that in `trainer.py`, I found that\r\n\r\n logger.info(\" Continuing training from checkpoint, will skip to saved global_step\")\r\n logger.info(\" Continuing training from epoch %d\", epochs_trained)\r\n logger.info(\" Continuing training from global step %d\", self.global_step)\r\n logger.info(\" Continuing training from %d non-embedding floating-point operations\", self.total_flos)\r\n logger.info(\" Will skip the first %d steps in the first epoch\", steps_trained_in_current_epoch)\r\n\r\nare not shown while I launched example scripts like `run_glue.py`.", "Yes the default log level is `warning`, you have to change it in the script to info if you want, by adding the line:\r\n```\r\nlogging.set_verbosity_info()\r\n```\r\nOr if you always want info, there is an env variable you can set called `TRANSFORMERS_VERBOSITY` (set it to 20 for info level).", "There is a small issue with the HF logger. I'm currently working on it and checking with @LysandreJik ", "No problem. If this is the default behavior expected (at least for pytorch trainer), I am fine.", "@jplu As you might know, I open this issue, but I don't necessary have the whole context. So I leave you to decide the desired behavior for tf_trainer.", "alternatively you can simply modify the following line in transormers/utils/logging.py to change the default behaviour:\r\n\r\nfrom `_default_log_level = logging.WARNING ` to `_default_log_level = logging.INFO`", "A fix has been pushed, you just have to write `transformers.logging.set_verbosity_info()`", "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" ]

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[ "As far I can see only the test `tests/test_trainer.py` is failing...", "Hey! We changed the name of `nlp` to `datasets` from Thursday to Friday and I am pretty sure that's what's causing the CI bug, but it was fixed just afterwards. Could you pull the latest changes from master and rebase on your branch so you get the fix?", "Sure!\r\n\r\nIs there a way to avoid that all \"new\" commits from master will end up in this PR even if they are already in the master branch? So that after the rebase still only my changes are listed in this PR?", "I am not sure, as I haven't had this issue before (I remember your previous PR did). But using `git pull --rebase` on your local branch should do the trick.", "Thanks I will try that!", "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7087?src=pr&el=h1) Report\n> Merging [#7087](https://codecov.io/gh/huggingface/transformers/pull/7087?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/85ffda96fcadf70d2558ba0a59c84b9f5a2d6f0f?el=desc) will **increase** coverage by `0.20%`.\n> The diff coverage is `50.00%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7087?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7087 +/- ##\n==========================================\n+ Coverage 78.44% 78.65% +0.20% \n==========================================\n Files 168 168 \n Lines 32309 32306 -3 \n==========================================\n+ Hits 25346 25411 +65 \n+ Misses 6963 6895 -68 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7087?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/configuration\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX3RyYW5zZm9feGwucHk=) | `87.03% <0.00%> (-2.06%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl90cmFuc2ZvX3hsLnB5) | `88.10% <57.14%> (-0.03%)` | :arrow_down: |\n| [src/transformers/modeling\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190cmFuc2ZvX3hsLnB5) | `79.73% <57.14%> (-0.04%)` | :arrow_down: |\n| [src/transformers/tokenization\\_xlm.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25feGxtLnB5) | `16.26% <0.00%> (-66.67%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_distilbert.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9kaXN0aWxiZXJ0LnB5) | `34.03% <0.00%> (-64.79%)` | :arrow_down: |\n| [src/transformers/pipelines.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9waXBlbGluZXMucHk=) | `25.85% <0.00%> (-55.15%)` | :arrow_down: |\n| [src/transformers/optimization.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb24ucHk=) | `34.28% <0.00%> (-48.00%)` | :arrow_down: |\n| [src/transformers/tokenization\\_mbart.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbWJhcnQucHk=) | `57.14% <0.00%> (-39.69%)` | :arrow_down: |\n| [src/transformers/optimization\\_tf.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb25fdGYucHk=) | `33.33% <0.00%> (-24.33%)` | :arrow_down: |\n| [src/transformers/modeling\\_lxmert.py](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19seG1lcnQucHk=) | `70.01% <0.00%> (-20.75%)` | :arrow_down: |\n| ... and [22 more](https://codecov.io/gh/huggingface/transformers/pull/7087/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7087?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7087?src=pr&el=footer). Last update [b00cafb...775bc0a](https://codecov.io/gh/huggingface/transformers/pull/7087?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "I am unsure whether it's better, in terms of user experience, to add default values to `tgt_len` and `ext_len` in `reset_length` and a deprecation warning or to change the name of the function altogether to `reset_memory_length` as you do. @LysandreJik could you take a look at this?", "@TevenLeScao Since we remove `tgt_len` and `ext_len` from the model anyway I thought that the name `reset_memory_length` gives a better description of what the function is actually doing.", "Alright, LGTM!" ]

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[ "i fixed finally", "> i fixed finally\r\n\r\nWhat was the solution?", "@Yangxiaojun1230 How to fix it? I meet this problem too.", "For my case, the problem is due to the miss correct of the length padding" ]

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[ "I think i figure it out now. in BART, \" The\", \" Republic\" are individual words.", "I'm having a similar issue as @songwanguw where each line of my output summaries start with a blank space when using Distilbart. This does not happen when I use facebook/bart-large-cnn.", "Unfortunately, I don't know any way to fix this besides postprocessing or retraining.\r\nYou're using the model correctly. I probably trained on targets with an extra prefixed space. My bad!\r\n", "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" ]

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[ "I think the model's integration is still a work-in-progress @SandyRSK, but will let model author @liminghao1630 chime in if necessary", "Similar help required. I want to use the layoutLM model finetuned on DocBank data. As per my understanding, this will be a token classification task, but any example code will be extremely helpful.\r\nThanks ", "@SandyRSK the integration is still on-going. You may refer to https://github.com/microsoft/unilm/tree/master/layoutlm if you want to use the model right now.", "Is this still work-in-progress?", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "Hi, is it possible to load the docbank pretrained model in your implementation?", "It should be possible to load the LayoutLM weights from the official repository in ours. Please feel free to try and upload it on the hub! \r\n\r\nLet us know if you run into trouble by opening a new issue and we'll take a look.", "Thanks! I'm just worried about the changes you made (all the classes commented with `Copied from transformers.models.bert.modeling_bert.BertEncoder with Bert->LayoutLM`): https://huggingface.co/transformers/_modules/transformers/models/layoutlm/modeling_layoutlm.html", "Right, this is for maintainability purposes. Instead of refactoring models in shared layers, we instead keep the entire forward pass in a single file. Doing it this way makes it easy to edit a single file or to read a paper side by side with the code, whereas refactored code would be harder to navigate in. These comments allow us to ensure that the files do not diverge: we have tests that check that the contents of `LayoutEncoder` is identical to `BertEncoder`, with the only change being utterances of \"bert\" changed to \"layoutlm\".\r\n\r\nAs you can see, the differences between BERT and LayoutLM are especially the embeddings.", "Hi, I loaded the pretained DocBank model, which is a LayoutLM from the original unilm repository, using the LayoutLM from HuggingFace. \r\n\r\nI get a warning of the form:\r\n\r\n```\r\nSome weights of the model checkpoint at layoutlm_large_500k_epoch_1/ were not used when initializing LayoutLMForTokenClassification: ['bert.embeddings.word_embeddings.weight' [...]\r\n- This IS expected if you are initializing LayoutLMForTokenClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\r\n- This IS NOT expected if you are initializing LayoutLMForTokenClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\r\nSome weights of LayoutLMForTokenClassification were not initialized from the model checkpoint at layoutlm_large_500k_epoch_1/ and are newly initialized: ['embeddings.word_embeddings.weight' [...]\r\nYou should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\r\n```\r\n\r\nFor the full warning see https://paste.ofcode.org/WxFiUf8bYL3TEjc9jLAG4J\r\n\r\nHowever, even after running model.eval(), I get random outputs. \r\n\r\nEdit:\r\nMoreover, the outputs don't seem to make any sense.\r\nFinally, >90% tokens always get the predicted label. But this label changes at each inference pass." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=h1) Report\n> Merging [#7083](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/de4d7b004a24e4bb087eb46d742ea7939bc74644?el=desc) will **increase** coverage by `0.97%`.\n> The diff coverage is `97.70%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7083 +/- ##\n==========================================\n+ Coverage 77.00% 77.98% +0.97% \n==========================================\n Files 184 184 \n Lines 36734 36216 -518 \n==========================================\n- Hits 28288 28244 -44 \n+ Misses 8446 7972 -474 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_squeezebert.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19zcXVlZXplYmVydC5weQ==) | `97.38% <97.38%> (ø)` | |\n| [src/transformers/\\_\\_init\\_\\_.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9fX2luaXRfXy5weQ==) | `99.39% <100.00%> (ø)` | |\n| [src/transformers/configuration\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2F1dG8ucHk=) | `96.34% <100.00%> (ø)` | |\n| [src/transformers/configuration\\_squeezebert.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX3NxdWVlemViZXJ0LnB5) | `100.00% <100.00%> (ø)` | |\n| [src/transformers/modeling\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19hdXRvLnB5) | `86.08% <100.00%> (-1.04%)` | :arrow_down: |\n| [src/transformers/tokenization\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fYXV0by5weQ==) | `92.64% <100.00%> (ø)` | |\n| [src/transformers/tokenization\\_squeezebert.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fc3F1ZWV6ZWJlcnQucHk=) | `100.00% <100.00%> (ø)` | |\n| [src/transformers/modeling\\_tf\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9sb25nZm9ybWVyLnB5) | `17.46% <0.00%> (-81.13%)` | :arrow_down: |\n| [src/transformers/tokenization\\_fsmt.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZnNtdC5weQ==) | `20.34% <0.00%> (-74.90%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9vcGVuYWkucHk=) | `22.03% <0.00%> (-73.03%)` | :arrow_down: |\n| ... and [39 more](https://codecov.io/gh/huggingface/transformers/pull/7083/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=footer). Last update [de4d7b0...c0521ee](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "@sgugger @patrickvonplaten - Thanks so much for the feedback! I will make these changes later this week.", "@sgugger @patrickvonplaten - I made all the changes that you suggested. Ready to merge?" ]

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[ "When I use longformer-base-4096, it works well.", "The reason is that `LongformerModel` pads its input to the `window_size` configuration param, which is 512 for `allenai/longformer-large-4096`. Therefore all `hidden_states` are of length 512. We could think about cutting the hidden states to the actual inputt length...", "Gotcha. But I also tested with longformer-base. It works fine with hidden states cut. Thank you." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=h1) Report\n> Merging [#7081](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ae736163d0d7a3a167ff0df3bf6c824437bbba2a?el=desc) will **increase** coverage by `0.09%`.\n> The diff coverage is `89.47%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7081 +/- ##\n==========================================\n+ Coverage 79.44% 79.54% +0.09% \n==========================================\n Files 168 168 \n Lines 32260 32285 +25 \n==========================================\n+ Hits 25630 25680 +50 \n+ Misses 6630 6605 -25 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/configuration\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7081/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2F1dG8ucHk=) | `96.10% <ø> (ø)` | |\n| [src/transformers/modeling\\_tf\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7081/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9hdXRvLnB5) | `72.36% <ø> (+1.77%)` | :arrow_up: |\n| [src/transformers/tokenization\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7081/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fYXV0by5weQ==) | `91.80% <ø> (ø)` | |\n| [src/transformers/trainer.py](https://codecov.io/gh/huggingface/transformers/pull/7081/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90cmFpbmVyLnB5) | `54.90% <71.42%> (+0.22%)` | :arrow_up: |\n| [src/transformers/modeling\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7081/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19hdXRvLnB5) | `82.29% <100.00%> (+1.07%)` | :arrow_up: |\n| [src/transformers/data/data\\_collator.py](https://codecov.io/gh/huggingface/transformers/pull/7081/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFfY29sbGF0b3IucHk=) | `93.54% <0.00%> (+0.35%)` | :arrow_up: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7081/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `86.46% <0.00%> (+5.76%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=footer). Last update [4cbd50e...dad4fcd](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Does the problem go away if you install the latest stable pytorch 1.6.0, see https://pytorch.org/get-started/locally/?\r\n\r\nAlso the test suite uses `pytest` to run the tests - have you tried using it?\r\n\r\n```\r\npytest tests\r\n```\r\nDo you get the same issue running it this way?\r\n\r\nIs it possible that your script ends up running tests in a different order from how they are normally tested on CI and uncovers some bug where several tests are dependent on each other and can only be run in a particular order? If so it might be helpful to find out the minimal sequence that leads to this error. \r\n\r\nI'm asking since the test suite is not 100% perfect, and I saw just recently that if you change the order of tests things start to fail.\r\n", "I have run your script and didn't get this error - but got 15 other errors, most `RuntimeError: Physical devices cannot be modified after being initialized` in tf tests.\r\nMy env is:\r\n```\r\n- `transformers` version: 3.1.0\r\n- Platform: Linux-4.15.0-112-generic-x86_64-with-glibc2.10\r\n- Python version: 3.8.5\r\n- PyTorch version (GPU?): 1.7.0.dev20200910 (True)\r\n- Tensorflow version (GPU?): 2.3.0 (True)\r\n```", "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" ]

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[ "Yes, I agree with this. Thanks @stas00!" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=h1) Report\n> Merging [#7078](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ae736163d0d7a3a167ff0df3bf6c824437bbba2a?el=desc) will **decrease** coverage by `1.09%`.\n> The diff coverage is `77.77%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7078 +/- ##\n==========================================\n- Coverage 79.44% 78.35% -1.10% \n==========================================\n Files 168 168 \n Lines 32260 32257 -3 \n==========================================\n- Hits 25630 25274 -356 \n- Misses 6630 6983 +353 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/trainer.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90cmFpbmVyLnB5) | `54.90% <71.42%> (+0.22%)` | :arrow_up: |\n| [src/transformers/tokenization\\_t5.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdDUucHk=) | `95.04% <100.00%> (-0.19%)` | :arrow_down: |\n| [src/transformers/configuration\\_reformer.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX3JlZm9ybWVyLnB5) | `21.62% <0.00%> (-78.38%)` | :arrow_down: |\n| [src/transformers/modeling\\_reformer.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yZWZvcm1lci5weQ==) | `16.87% <0.00%> (-77.64%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_xlm.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl94bG0ucHk=) | `18.94% <0.00%> (-74.32%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_flaubert.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9mbGF1YmVydC5weQ==) | `24.53% <0.00%> (-63.81%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl91dGlscy5weQ==) | `87.29% <0.00%> (+0.65%)` | :arrow_up: |\n| [src/transformers/modeling\\_mobilebert.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19tb2JpbGViZXJ0LnB5) | `89.45% <0.00%> (+10.24%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl90cmFuc2ZvX3hsLnB5) | `88.13% <0.00%> (+68.28%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl94bG5ldC5weQ==) | `92.17% <0.00%> (+71.04%)` | :arrow_up: |\n| ... and [1 more](https://codecov.io/gh/huggingface/transformers/pull/7078/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=footer). Last update [4cbd50e...c0dcfc7](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Thanks @suraj, great catch!", "Also very clean implem :)" ]

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[ "Done. ", "- [x] pegasus xsum students\r\n- [x] uploaded distilled pegasus\r\n- [x] re-evaluate updated layerdrop model (te: 23.5291: quickly worsens)\r\n- [x] re-evaluate bart-xsum pseudolabel model(s). " ]

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[ "Hey @fmcurti - this looks great, thanks a lot for your contribution here!\r\n\r\nIn order to pass the `check_code_quality` test it would be great if you can run `make style` as described in https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md . \r\nAnd it would be important to make the benchmarks.py test pass.\r\n\r\nAs said in the comment above, it'd be great if you could add a line stating how to disable `default=True` params from the config.\r\n\r\nLet me know if you are stuck and need help :-) ", "Hi @patrickvonplaten =) \r\nI think I modified the tests so that they pass, but i think the tests running on circleci are the ones on the master branch and not on my commit maybe? because the error messages I see seem to be from things I already changed", "@LysandreJik @sgugger - For some reason the git-diff is messed up in this PR. I checked the changes offline using `vimdiff` and the changes look good to me! \r\nThink the breaking changes are not super relevant here because it's only the benchmarking argument class that is affected and not too many people seem to be using the benchmarking tools.", "Great! My first contribution to an open source library 🤗\r\nSmall one but it's a start,", "The first post looks confusing, it looks like someone with admin rights edited it, but didn't indicate so, so it appears that @fmcurti praises himself ;) perhaps a ----- bar and a note that it was edited, so that it's clear to the readers that \"this and below\" wasn't part of the original post?", "I'm in agreement with @patrickvonplaten - I don't think this API is being used much and it's an important change for the long run, so it's worth the breaking. Good APIs are not easy.\r\n\r\nbut if it's really needed one could keep the old args and code them to set the new args. and have a deprecation cycle. Definitely doable.\r\n\r\n@fmcurti - great work, thank you for your contribution!", "> @LysandreJik @sgugger - For some reason the git-diff is messed up in this PR. I checked the changes offline using `vimdiff` and the changes look good to me!\r\n\r\nYou need to tell github to ignore whitespaces and then it works:\r\nhttps://github.com/huggingface/transformers/pull/7075/files?diff=split&w=1\r\nGot it via this:\r\n\r\n\r\n", "> I'm in agreement with @patrickvonplaten - I don't think this API is being used much and it's an important change for the long run, so it's worth the breaking. Good APIs are not easy.\r\n>\r\n> but if it's really needed one could keep the old args and code them to set the new args. and have a deprecation cycle. Definitely doable.\r\n\r\nI agree that this change is welcome, and the proposed API here is indeed much better than the previous one. However, I think this can be done better by having, as you mentioned, some deprecation warnings while still maintaining backwards compatibility for some time.", "@LysandreJik - I'm fine with keeping the old arguments with deprecation warnings - will add this to the PR.", "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7075?src=pr&el=h1) Report\n> Merging [#7075](https://codecov.io/gh/huggingface/transformers/pull/7075?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/28cf873036d078b47fb9dd38ac3421a7c874da44?el=desc) will **increase** coverage by `1.81%`.\n> The diff coverage is `71.45%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7075?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7075 +/- ##\n==========================================\n+ Coverage 76.58% 78.39% +1.81% \n==========================================\n Files 181 181 \n Lines 34828 34851 +23 \n==========================================\n+ Hits 26674 27323 +649 \n+ Misses 8154 7528 -626 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7075?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/benchmark/benchmark.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9iZW5jaG1hcmsvYmVuY2htYXJrLnB5) | `82.17% <ø> (ø)` | |\n| [src/transformers/benchmark/benchmark\\_tf.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9iZW5jaG1hcmsvYmVuY2htYXJrX3RmLnB5) | `65.51% <ø> (ø)` | |\n| [src/transformers/benchmark/benchmark\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9iZW5jaG1hcmsvYmVuY2htYXJrX3V0aWxzLnB5) | `69.00% <69.00%> (-0.50%)` | :arrow_down: |\n| [src/transformers/benchmark/benchmark\\_args.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9iZW5jaG1hcmsvYmVuY2htYXJrX2FyZ3MucHk=) | `83.33% <76.92%> (-2.72%)` | :arrow_down: |\n| [src/transformers/benchmark/benchmark\\_args\\_tf.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9iZW5jaG1hcmsvYmVuY2htYXJrX2FyZ3NfdGYucHk=) | `85.29% <78.57%> (-2.21%)` | :arrow_down: |\n| [src/transformers/benchmark/benchmark\\_args\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9iZW5jaG1hcmsvYmVuY2htYXJrX2FyZ3NfdXRpbHMucHk=) | `89.13% <89.13%> (ø)` | |\n| [src/transformers/modeling\\_layoutlm.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19sYXlvdXRsbS5weQ==) | `25.06% <0.00%> (-69.40%)` | :arrow_down: |\n| [src/transformers/tokenization\\_rag.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fcmFnLnB5) | `32.55% <0.00%> (-37.21%)` | :arrow_down: |\n| [src/transformers/tokenization\\_funnel.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZnVubmVsLnB5) | `62.79% <0.00%> (-34.89%)` | :arrow_down: |\n| [src/transformers/configuration\\_layoutlm.py](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2xheW91dGxtLnB5) | `80.00% <0.00%> (-20.00%)` | :arrow_down: |\n| ... and [16 more](https://codecov.io/gh/huggingface/transformers/pull/7075/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7075?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7075?src=pr&el=footer). Last update [28cf873...9019232](https://codecov.io/gh/huggingface/transformers/pull/7075?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=h1) Report\n> Merging [#7074](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e841b75decf5ec9c8829dc1a3c43426ffa9f6907?el=desc) will **increase** coverage by `1.15%`.\n> The diff coverage is `71.42%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7074 +/- ##\n==========================================\n+ Coverage 78.27% 79.43% +1.15% \n==========================================\n Files 168 168 \n Lines 32251 32252 +1 \n==========================================\n+ Hits 25246 25618 +372 \n+ Misses 7005 6634 -371 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/trainer.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90cmFpbmVyLnB5) | `54.90% <71.42%> (+0.22%)` | :arrow_up: |\n| [...c/transformers/modeling\\_tf\\_transfo\\_xl\\_utilities.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl90cmFuc2ZvX3hsX3V0aWxpdGllcy5weQ==) | `10.00% <0.00%> (-76.00%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl94bG5ldC5weQ==) | `21.12% <0.00%> (-71.05%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl90cmFuc2ZvX3hsLnB5) | `19.85% <0.00%> (-68.29%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9ncHQyLnB5) | `71.84% <0.00%> (-23.17%)` | :arrow_down: |\n| [src/transformers/modeling\\_mobilebert.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19tb2JpbGViZXJ0LnB5) | `79.21% <0.00%> (-10.25%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `72.25% <0.00%> (-10.00%)` | :arrow_down: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `79.19% <0.00%> (-4.27%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl91dGlscy5weQ==) | `86.64% <0.00%> (-0.66%)` | :arrow_down: |\n| [...rc/transformers/data/datasets/language\\_modeling.py](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFzZXRzL2xhbmd1YWdlX21vZGVsaW5nLnB5) | `92.94% <0.00%> (-0.59%)` | :arrow_down: |\n| ... and [8 more](https://codecov.io/gh/huggingface/transformers/pull/7074/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=footer). Last update [e841b75...a3cf42f](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "This is very nice. Many thanks for this feature. :-)" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7073?src=pr&el=h1) Report\n> Merging [#7073](https://codecov.io/gh/huggingface/transformers/pull/7073?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0054a48cdd64e7309184a64b399ab2c58d75d4e5?el=desc) will **decrease** coverage by `1.76%`.\n> The diff coverage is `100.00%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7073?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7073 +/- ##\n==========================================\n- Coverage 80.53% 78.76% -1.77% \n==========================================\n Files 168 168 \n Lines 32179 32188 +9 \n==========================================\n- Hits 25915 25354 -561 \n- Misses 6264 6834 +570 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7073?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/file\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9maWxlX3V0aWxzLnB5) | `82.80% <100.00%> (+0.13%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_distilbert.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9kaXN0aWxiZXJ0LnB5) | `34.03% <0.00%> (-64.79%)` | :arrow_down: |\n| [src/transformers/pipelines.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9waXBlbGluZXMucHk=) | `25.85% <0.00%> (-55.15%)` | :arrow_down: |\n| [src/transformers/optimization.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb24ucHk=) | `34.28% <0.00%> (-48.00%)` | :arrow_down: |\n| [src/transformers/tokenization\\_xlm\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25feGxtX3JvYmVydGEucHk=) | `48.80% <0.00%> (-46.43%)` | :arrow_down: |\n| [src/transformers/tokenization\\_mbart.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbWJhcnQucHk=) | `57.14% <0.00%> (-39.69%)` | :arrow_down: |\n| [src/transformers/tokenization\\_funnel.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZnVubmVsLnB5) | `62.79% <0.00%> (-34.89%)` | :arrow_down: |\n| [src/transformers/optimization\\_tf.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb25fdGYucHk=) | `33.33% <0.00%> (-24.33%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9hdXRvLnB5) | `49.10% <0.00%> (-17.97%)` | :arrow_down: |\n| [src/transformers/data/processors/squad.py](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL3Byb2Nlc3NvcnMvc3F1YWQucHk=) | `13.76% <0.00%> (-14.38%)` | :arrow_down: |\n| ... and [15 more](https://codecov.io/gh/huggingface/transformers/pull/7073/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7073?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7073?src=pr&el=footer). Last update [0054a48...18e2891](https://codecov.io/gh/huggingface/transformers/pull/7073?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Hmm I seem to have forgotten to change the references in the tests" ]

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[ "This is great, thanks for sharing! \r\n\r\nIn case you have time and want to contribute default sample inputs for Bengali, you can just open a pull request against https://github.com/huggingface/widgets-server/blob/master/DefaultWidget.ts\r\n\r\nYour model page's inference widgets will then display relevant sample inputs.", "PS/ your models are now correctly linked from https://huggingface.co/datasets/lince", "Hi,\r\nThank you so much. \r\nI will create a pull request for DefaultWidget.ts\r\n\r\nregards\r\nSagor" ]

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[ "Just confirming that the issue happens also for the latest `transformers`, PyTorch and Python 3.8.\r\n\r\n- `transformers` version: 3.1.0\r\n- Platform: Linux-5.4.0-47-generic-x86_64-with-glibc2.10\r\n- Python version: 3.8.5\r\n- PyTorch version (GPU?): 1.6.0 (False)\r\n- Tensorflow version (GPU?): not installed (NA)\r\n- Using GPU in script?: No\r\n- Using distributed or parallel set-up in script?: No", "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" ]

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[ "Hello @Yangxiaojun1230 ,\r\n\r\nFrom your message I assume you are trying to train a Longformer model using embeddings as the input of the model.\r\n\r\nYou can either use input_ids or inputs_embeds in the forward function of the models. I think your idea will work, please let us know if it does.\r\n\r\nYou can look at more information about your model in the documentation: https://huggingface.co/transformers/model_doc/longformer.html\r\n", "@na\r\n\r\n> Hello @Yangxiaojun1230 ,\r\n> \r\n> From your message I assume you are trying to train a Longformer model using embeddings as the input of the model.\r\n> \r\n> You can either use input_ids or inputs_embeds in the forward function of the models. I think your idea will work, please let us know if it does.\r\n> \r\n> You can look at more information about your model in the documentation: https://huggingface.co/transformers/model_doc/longformer.html\r\n\r\nThank you for your answer, actually I try to train the model and meet an error.\r\nMy code:\r\natt_mask[:,[100,300,500,800,1200,]]=2\r\nlogit=LongformerForSequenceClassification(inputs_embeds=embding,attention_mask=att_mask)\r\n\r\nbut error occurs:\r\npytorch/aten/src/THC/THCTensorIndex.cu:361: void indexSelectLargeIndex(TensorInfo<T, IndexType>, TensorInfo<T, IndexType>, TensorInfo<long, IndexType>, int, int, IndexType, IndexType, long) [with T = float, IndexType = unsigned int, DstDim = 2, SrcDim = 2, IdxDim = -2, IndexIsMajor = true]: block: [205,0,0], thread: [95,0,0] Assertion `srcIndex < srcSelectDimSize` failed.\r\nTHCudaCheck FAIL file=/pytorch/aten/src/THC/THCReduceAll.cuh line=327 error=710 : device-side assert triggered\r\n\r\n\"/home/yangjeff/anaconda3/lib/python3.6/site-packages/transformers/modeling_longformer.py\", line 272, in forward\r\n max_num_extra_indices_per_batch = num_extra_indices_per_batch.max()\r\nRuntimeError: cuda runtime error (710) : device-side assert triggered at /pytorch/aten/src/THC/THCReduceAll.cuh:327\r\n\r\nIn the modeling_longformer.py:\r\nafter:extra_attention_mask = attention_mask > 0\r\nI could not access to extra_attention_mask，\r\nBut in the example:\r\nattention_mask = torch.ones(input_ids.shape, dtype=torch.long, device=input_ids.device) # initialize to local attention\r\n attention_mask[:, [1, 4, 21,]] = 2 # Set global attention based on the task. For example,\r\n # classification: the <s> token\r\n # QA: question tokens\r\n # LM: potentially on the beginning of sentences and paragraphs\r\n sequence_output, pooled_output = model(input_ids, attention_mask=attention_mask)\r\nThe only different in my code is I input inputs_embeds instead input_ids", "I fixed finally" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=h1) Report\n> Merging [#7068](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8fcbe486e1592321e868f872545c8fd9d359a515?el=desc) will **decrease** coverage by `2.39%`.\n> The diff coverage is `100.00%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7068 +/- ##\n==========================================\n- Coverage 80.93% 78.53% -2.40% \n==========================================\n Files 168 168 \n Lines 32179 32179 \n==========================================\n- Hits 26044 25273 -771 \n- Misses 6135 6906 +771 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/configuration\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2F1dG8ucHk=) | `93.61% <ø> (ø)` | |\n| [src/transformers/modeling\\_bert\\_generation.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19iZXJ0X2dlbmVyYXRpb24ucHk=) | `69.19% <ø> (ø)` | |\n| [src/transformers/configuration\\_bert\\_generation.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2JlcnRfZ2VuZXJhdGlvbi5weQ==) | `100.00% <100.00%> (ø)` | |\n| [src/transformers/tokenization\\_bert\\_generation.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fYmVydF9nZW5lcmF0aW9uLnB5) | `94.64% <100.00%> (ø)` | |\n| [src/transformers/modeling\\_tf\\_lxmert.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9seG1lcnQucHk=) | `22.49% <0.00%> (-71.63%)` | :arrow_down: |\n| [src/transformers/tokenization\\_xlm.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25feGxtLnB5) | `16.26% <0.00%> (-66.67%)` | :arrow_down: |\n| [src/transformers/tokenization\\_marian.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbWFyaWFuLnB5) | `67.79% <0.00%> (-31.36%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `75.91% <0.00%> (-21.17%)` | :arrow_down: |\n| [src/transformers/modeling\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19sb25nZm9ybWVyLnB5) | `71.60% <0.00%> (-20.44%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `72.25% <0.00%> (-10.00%)` | :arrow_down: |\n| ... and [8 more](https://codecov.io/gh/huggingface/transformers/pull/7068/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=footer). Last update [8fcbe48...351c75d](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Thanks for catching that @sgugger !" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=h1) Report\n> Merging [#7067](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8fcbe486e1592321e868f872545c8fd9d359a515?el=desc) will **decrease** coverage by `2.41%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7067 +/- ##\n==========================================\n- Coverage 80.93% 78.52% -2.42% \n==========================================\n Files 168 168 \n Lines 32179 32179 \n==========================================\n- Hits 26044 25267 -777 \n- Misses 6135 6912 +777 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_distilbert.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9kaXN0aWxiZXJ0LnB5) | `34.03% <0.00%> (-64.79%)` | :arrow_down: |\n| [src/transformers/pipelines.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9waXBlbGluZXMucHk=) | `25.85% <0.00%> (-55.15%)` | :arrow_down: |\n| [src/transformers/optimization.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb24ucHk=) | `34.28% <0.00%> (-48.00%)` | :arrow_down: |\n| [src/transformers/tokenization\\_funnel.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZnVubmVsLnB5) | `62.79% <0.00%> (-34.89%)` | :arrow_down: |\n| [src/transformers/tokenization\\_marian.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbWFyaWFuLnB5) | `67.79% <0.00%> (-31.36%)` | :arrow_down: |\n| [src/transformers/optimization\\_tf.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb25fdGYucHk=) | `33.33% <0.00%> (-24.33%)` | :arrow_down: |\n| [src/transformers/tokenization\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdHJhbnNmb194bC5weQ==) | `20.53% <0.00%> (-21.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_lxmert.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19seG1lcnQucHk=) | `70.01% <0.00%> (-20.75%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9hdXRvLnB5) | `49.10% <0.00%> (-17.97%)` | :arrow_down: |\n| [src/transformers/data/processors/squad.py](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL3Byb2Nlc3NvcnMvc3F1YWQucHk=) | `13.76% <0.00%> (-14.38%)` | :arrow_down: |\n| ... and [19 more](https://codecov.io/gh/huggingface/transformers/pull/7067/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=footer). Last update [8fcbe48...a4dd71e](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=h1) Report\n> Merging [#7066](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8fcbe486e1592321e868f872545c8fd9d359a515?el=desc) will **decrease** coverage by `1.46%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7066 +/- ##\n==========================================\n- Coverage 80.93% 79.47% -1.47% \n==========================================\n Files 168 168 \n Lines 32179 32179 \n==========================================\n- Hits 26044 25573 -471 \n- Misses 6135 6606 +471 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [...c/transformers/modeling\\_tf\\_transfo\\_xl\\_utilities.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl90cmFuc2ZvX3hsX3V0aWxpdGllcy5weQ==) | `10.00% <0.00%> (-76.00%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl94bG5ldC5weQ==) | `21.12% <0.00%> (-71.05%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl90cmFuc2ZvX3hsLnB5) | `19.85% <0.00%> (-68.29%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9ncHQyLnB5) | `71.84% <0.00%> (-23.17%)` | :arrow_down: |\n| [src/transformers/modeling\\_lxmert.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19seG1lcnQucHk=) | `70.01% <0.00%> (-20.75%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `72.25% <0.00%> (-10.00%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl91dGlscy5weQ==) | `86.64% <0.00%> (-0.66%)` | :arrow_down: |\n| [src/transformers/generation\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3V0aWxzLnB5) | `96.92% <0.00%> (-0.28%)` | :arrow_down: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `86.46% <0.00%> (-0.26%)` | :arrow_down: |\n| [src/transformers/file\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9maWxlX3V0aWxzLnB5) | `82.66% <0.00%> (+0.25%)` | :arrow_up: |\n| ... and [8 more](https://codecov.io/gh/huggingface/transformers/pull/7066/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=footer). Last update [8fcbe48...71e0391](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Thank you!" ]

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[ "Hi, there's been some issues with memory in our recent script versions. It is possible that on kaggle you have the very latest version of the scripts, or a way older version of the scripts where the memory issue didn't exist.\r\n\r\nI recommend you use the latest version of the script, as the memory issue is fixed and it is the most feature-complete version.", "Thanks for info and help! However, the issue persists in the current version of the script. \r\nIs it an issue specific to the longformer or do other models experience the same behaviour?\r\nDo you know when the memory issues began so I can check whether older versions might work? ", "So I tested older versions of the script, specifically from the commits that resulted in a new version (3.0.0, 3.0.1, 3.0.2, 3.1.0). The issue persists with all of them *but* only on google colab. RAM consumption begins at around 1.88gb and after around 5 minutes of training increases continuously.\r\nI tried the same script from the commits on kaggle and observed a very different behaviour. RAM consumption at training is constant around 5.5gb. \r\nWhen running the script on roberta the same behaviour occurs.\r\n\r\nI'd be happy about any help or suggestions!", "So the docker image that kaggle uses seemed to be a work-around. If more ressources are necessary than those provided by kaggle then one can use the image easily on GCP. Though kaggle publishes the image as well in their repo.\r\n\r\nHowever by now the issues seems resolved as I switched back to colab and no problems with RAM consumption occured. I'm not sure what caused this effect but no issues for now - thus I'm closing this thread." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=h1) Report\n> Merging [#7064](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7cbf0f722d23440f3342aafc27697b50ead5996b?el=desc) will **decrease** coverage by `0.09%`.\n> The diff coverage is `31.25%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7064 +/- ##\n==========================================\n- Coverage 80.32% 80.23% -0.10% \n==========================================\n Files 174 177 +3 \n Lines 33446 33878 +432 \n==========================================\n+ Hits 26867 27181 +314 \n- Misses 6579 6697 +118 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_layoutlm.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19sYXlvdXRsbS5weQ==) | `25.56% <25.56%> (ø)` | |\n| [src/transformers/activations.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9hY3RpdmF0aW9ucy5weQ==) | `86.36% <50.00%> (-3.64%)` | :arrow_down: |\n| [src/transformers/configuration\\_layoutlm.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2xheW91dGxtLnB5) | `80.00% <80.00%> (ø)` | |\n| [src/transformers/\\_\\_init\\_\\_.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9fX2luaXRfXy5weQ==) | `99.37% <100.00%> (+0.01%)` | :arrow_up: |\n| [src/transformers/configuration\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2F1dG8ucHk=) | `96.20% <100.00%> (+0.04%)` | :arrow_up: |\n| [src/transformers/modeling\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19hdXRvLnB5) | `82.46% <100.00%> (+0.08%)` | :arrow_up: |\n| [src/transformers/tokenization\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fYXV0by5weQ==) | `92.30% <100.00%> (+0.12%)` | :arrow_up: |\n| [src/transformers/tokenization\\_layoutlm.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fbGF5b3V0bG0ucHk=) | `100.00% <100.00%> (ø)` | |\n| [src/transformers/modeling\\_tf\\_funnel.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9mdW5uZWwucHk=) | `18.53% <0.00%> (-75.51%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_flaubert.py](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9mbGF1YmVydC5weQ==) | `24.53% <0.00%> (-63.81%)` | :arrow_down: |\n| ... and [18 more](https://codecov.io/gh/huggingface/transformers/pull/7064/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=footer). Last update [7cbf0f7...4e95220](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Hi, I have moved and renamed the classes from modeling_bert to modeling_layoutlm and the code is ready for review and merge. @JetRunner @sgugger ", "@JetRunner @sgugger @LysandreJik The new suggestions have been adopted. " ]

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[ "Hey @lonelydancer ,\r\n\r\nyeah I think I know why you get this error message. I very recently fixed the error message you get. \r\n1) Could you try to pull from master and run your code again? If I am correct you should now get an error message saying: \r\n\r\n```\r\n\"decoder_start_token_id or bos_token_id has to be defined for encoder-decoder generation\"\r\n```\r\n\r\n2) You have to provide either a `bos_token_id` or `decoder_token_id` for generation, otherwise the decoder part for `EncoderDecoderModel` does not know with which token it should start the generation.\r\n\r\nPlease let me know if this helps. ", "@patrickvonplaten It works! Thanks~" ]

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[ "This has been fixed in master already, it's due to the change of name of the nlp library to datasets. You will need to install datasets to have the full test suite working.", "Thanks, @sgugger . So in order to make my pull request pass the test online, I have to merge remote master intomy local branch and repush? Is this an acceptable approach of doing PR?", "You can either rebase master on your PR branch, or not worry if this is the only test not passing (merging will make the CI green)." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=h1) Report\n> Merging [#7061](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0054a48cdd64e7309184a64b399ab2c58d75d4e5?el=desc) will **increase** coverage by `1.21%`.\n> The diff coverage is `100.00%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7061 +/- ##\n==========================================\n+ Coverage 80.53% 81.74% +1.21% \n==========================================\n Files 168 168 \n Lines 32179 32251 +72 \n==========================================\n+ Hits 25915 26365 +450 \n+ Misses 6264 5886 -378 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/configuration\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2F1dG8ucHk=) | `96.10% <100.00%> (+2.48%)` | :arrow_up: |\n| [src/transformers/modeling\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19hdXRvLnB5) | `81.21% <100.00%> (+2.12%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9hdXRvLnB5) | `70.58% <100.00%> (+3.52%)` | :arrow_up: |\n| [src/transformers/tokenization\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fYXV0by5weQ==) | `91.80% <100.00%> (+0.27%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_electra.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9lbGVjdHJhLnB5) | `25.13% <0.00%> (-73.83%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_flaubert.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9mbGF1YmVydC5weQ==) | `24.53% <0.00%> (-63.81%)` | :arrow_down: |\n| [src/transformers/modeling\\_marian.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19tYXJpYW4ucHk=) | `60.00% <0.00%> (-30.00%)` | :arrow_down: |\n| [src/transformers/activations.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9hY3RpdmF0aW9ucy5weQ==) | `85.00% <0.00%> (-5.00%)` | :arrow_down: |\n| [src/transformers/configuration\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2JhcnQucHk=) | `90.00% <0.00%> (-4.00%)` | :arrow_down: |\n| [src/transformers/modeling\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19iYXJ0LnB5) | `93.77% <0.00%> (-0.68%)` | :arrow_down: |\n| ... and [9 more](https://codecov.io/gh/huggingface/transformers/pull/7061/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=footer). Last update [0054a48...9eceac7](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Thank you for your interest. We are doing a few clean-up and will release them shortly. ", "Waiting for the model too :)\r\n\r\nThanks", "@tangyuq Is the benchmark included in [Beyond English-Centric Multilingual Machine Translation](https://github.com/pytorch/fairseq/tree/master/examples/m2m_100)?", "We'll be adding a full evaluation on the ML50 benchmark in an updated version. The main reason why I haven't added it yet is that we want to update ML50's evaluation pairs done on WMT20 to the WMT20 test sets. When ML50 was originally released, the WMT20 test sets were not released yet. So we'll update both works together. \r\n\r\nA portion of ML50 evaluation, from the original mBART paper, is available in Beyond English Centric MMT work already. ", "Hi, thanks for the great work and releasing the models to public.\r\nDo we have any update on mBART50 model release? ", "The [mBART50 model](https://github.com/pytorch/fairseq/tree/master/examples/multilingual#mbart50-models) is now available on the fairseq repository.", "@jaspock Has someone been able to load these mBART50 models with huggingface mBART version?\r\nI was able to convert it (and the weight appear to be right). However, when generating translations, it just repeats the same word over and over again.\r\n", "Maybe @patil-suraj has some input?", "Hi @jaspock \r\n\r\nI'm also facing the same issue, I've been able to convert the weights, but as you said the generation is not working, I'm investigating this currently.", "mBART-50 is now available on master!\r\n\r\nhttps://huggingface.co/transformers/master/model_doc/mbart.html#overview-of-mbart-50\r\n\r\nhttps://huggingface.co/models?filter=mbart-50", "Hi, I want to finetune the multilingual model for some languages.\r\nI cannot find the exact script , number of updates used to finetune mbart50.\r\nThe paper suggested 500k updates for training the model that was trained from scratch. Paper [Link](https://arxiv.org/pdf/2008.00401.pdf)\r\nThe multilingual fine-tuning script shows 40k updates in the training [script](https://github.com/pytorch/fairseq/tree/master/examples/multilingual#mbart50-models) (Which was also used for Bilingual model in mBart paper)\r\n\r\nBut I cannot find specifications for MT-FT (Multilingual Fine Tuning) for 50 languages.\r\nI suspect 40k won't be enough if combined data for all languages is high.\r\nCan anyone guide me if I am missing something\r\n", "> Hi, I want to finetune the multilingual model for some languages.\r\n> I cannot find the exact script , number of updates used to finetune mbart50.\r\n> The paper suggested 500k updates for training the model that was trained from scratch. Paper [Link](https://arxiv.org/pdf/2008.00401.pdf)\r\n> The multilingual fine-tuning script shows 40k updates in the training [script](https://github.com/pytorch/fairseq/tree/master/examples/multilingual#mbart50-models) (Which was also used for Bilingual model in mBart paper)\r\n> \r\n> But I cannot find specifications for MT-FT (Multilingual Fine Tuning) for 50 languages.\r\n> I suspect 40k won't be enough if combined data for all languages is high.\r\n> Can anyone guide me if I am missing something\r\n\r\nHi @kaivu1999 Did you figure out how to fine-tune? I am also exploring for finetuning the multilingual model but haven't found a proper specification yet.", "Hi @kaivu1999, @pdakwal \r\n\r\n> I cannot find the exact script \r\n\r\nThere is a `run_translation.py` script [here](https://github.com/huggingface/transformers/tree/master/examples/pytorch/translation), which can be used for fine-tuning mBART-50 but it does not support multi-lingual fine-tuning. But it should be easy to adapt to do that.\r\n\r\nFor multi-lingual fine-tuning, what we need to do here is, say we are fine-tuning on two language pairs, in that case, we need to concatenate the two datasets or in case the two language pairs don't have the same number of examples then add some sort of sampler which will sample the example from the datasets depending on the number of examples in each one. And when processing each language pair, set the appropriate `src_lang` and `tgt_lang` tokens. The processing part is explained in the [docs](https://huggingface.co/transformers/model_doc/mbart.html#overview-of-mbart-50).", "Hi @kaivu1999, @pdakwal were u able to finetune mbart50 on custom data? Please help." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=h1) Report\n> Merging [#7059](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/77950c485a6f6bcb4db6501bffbbd0cd96c0cd1a?el=desc) will **increase** coverage by `0.79%`.\n> The diff coverage is `71.42%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7059 +/- ##\n==========================================\n+ Coverage 80.25% 81.05% +0.79% \n==========================================\n Files 168 168 \n Lines 32172 32179 +7 \n==========================================\n+ Hits 25821 26082 +261 \n+ Misses 6351 6097 -254 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/testing\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90ZXN0aW5nX3V0aWxzLnB5) | `69.48% <71.42%> (+0.09%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_mobilebert.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9tb2JpbGViZXJ0LnB5) | `24.55% <0.00%> (-72.36%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_flaubert.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9mbGF1YmVydC5weQ==) | `24.53% <0.00%> (-63.81%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `77.73% <0.00%> (-19.35%)` | :arrow_down: |\n| [src/transformers/data/data\\_collator.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFfY29sbGF0b3IucHk=) | `92.83% <0.00%> (-0.36%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_bert.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9iZXJ0LnB5) | `98.74% <0.00%> (+0.35%)` | :arrow_up: |\n| [src/transformers/tokenization\\_utils\\_base.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfYmFzZS5weQ==) | `93.77% <0.00%> (+3.51%)` | :arrow_up: |\n| [src/transformers/modeling\\_mobilebert.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19tb2JpbGViZXJ0LnB5) | `89.45% <0.00%> (+10.24%)` | :arrow_up: |\n| [src/transformers/modeling\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190cmFuc2ZvX3hsLnB5) | `79.77% <0.00%> (+12.66%)` | :arrow_up: |\n| [src/transformers/modeling\\_transfo\\_xl\\_utilities.py](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190cmFuc2ZvX3hsX3V0aWxpdGllcy5weQ==) | `66.41% <0.00%> (+13.43%)` | :arrow_up: |\n| ... and [4 more](https://codecov.io/gh/huggingface/transformers/pull/7059/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=footer). Last update [77950c4...22a45b8](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Let's merge this for now, I'll work on some of those tests to remove the decorator" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=h1) Report\n> Merging [#7058](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/514486739cc732ad05549d81bd48c0aa9e03a0f3?el=desc) will **increase** coverage by `0.14%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7058 +/- ##\n==========================================\n+ Coverage 79.32% 79.47% +0.14% \n==========================================\n Files 168 168 \n Lines 32172 32172 \n==========================================\n+ Hits 25522 25568 +46 \n+ Misses 6650 6604 -46 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/file\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7058/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9maWxlX3V0aWxzLnB5) | `82.41% <0.00%> (-0.26%)` | :arrow_down: |\n| [src/transformers/tokenization\\_utils\\_base.py](https://codecov.io/gh/huggingface/transformers/pull/7058/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfYmFzZS5weQ==) | `93.91% <0.00%> (-0.14%)` | :arrow_down: |\n| [src/transformers/modeling\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7058/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19iYXJ0LnB5) | `94.44% <0.00%> (+0.16%)` | :arrow_up: |\n| [src/transformers/configuration\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/7058/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2JhcnQucHk=) | `94.00% <0.00%> (+4.00%)` | :arrow_up: |\n| [src/transformers/data/data\\_collator.py](https://codecov.io/gh/huggingface/transformers/pull/7058/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9kYXRhL2RhdGFfY29sbGF0b3IucHk=) | `93.54% <0.00%> (+5.37%)` | :arrow_up: |\n| [src/transformers/generation\\_tf\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/7058/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `86.71% <0.00%> (+7.51%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=footer). Last update [5144867...d360cf8](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Closed by this answer: https://github.com/huggingface/transformers/issues/7024#issuecomment-691481436" ]

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[ "Not necessarily the base Trainer, but definitely the `Seq2SeqTrainer` in preparation if you use this sampler often.", "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=h1) Report\n> Merging [#7056](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/514486739cc732ad05549d81bd48c0aa9e03a0f3?el=desc) will **increase** coverage by `0.25%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #7056 +/- ##\n==========================================\n+ Coverage 79.32% 79.58% +0.25% \n==========================================\n Files 168 168 \n Lines 32172 32172 \n==========================================\n+ Hits 25522 25605 +83 \n+ Misses 6650 6567 -83 \n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9sb25nZm9ybWVyLnB5) | `16.37% <0.00%> (-82.31%)` | :arrow_down: |\n| [src/transformers/modeling\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19sb25nZm9ybWVyLnB5) | `19.71% <0.00%> (-72.34%)` | :arrow_down: |\n| [src/transformers/tokenization\\_bert\\_generation.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fYmVydF9nZW5lcmF0aW9uLnB5) | `39.28% <0.00%> (-55.36%)` | :arrow_down: |\n| [src/transformers/optimization.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9vcHRpbWl6YXRpb24ucHk=) | `34.28% <0.00%> (-48.00%)` | :arrow_down: |\n| [src/transformers/configuration\\_longformer.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2xvbmdmb3JtZXIucHk=) | `75.00% <0.00%> (-25.00%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `75.91% <0.00%> (-21.17%)` | :arrow_down: |\n| [src/transformers/tokenization\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fcm9iZXJ0YS5weQ==) | `87.67% <0.00%> (-10.96%)` | :arrow_down: |\n| [src/transformers/tokenization\\_utils\\_base.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfYmFzZS5weQ==) | `86.87% <0.00%> (-7.18%)` | :arrow_down: |\n| [src/transformers/tokenization\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fb3BlbmFpLnB5) | `82.57% <0.00%> (-1.52%)` | :arrow_down: |\n| [src/transformers/tokenization\\_utils\\_fast.py](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHNfZmFzdC5weQ==) | `92.85% <0.00%> (-1.43%)` | :arrow_down: |\n| ... and [16 more](https://codecov.io/gh/huggingface/transformers/pull/7056/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=footer). Last update [5144867...41dca6e](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]