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https://api.github.com/repos/huggingface/transformers/issues/4 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4/comments | https://api.github.com/repos/huggingface/transformers/issues/4/events | https://github.com/huggingface/transformers/pull/4 | 377,620,943 | MDExOlB1bGxSZXF1ZXN0MjI4NTIxMjA3 | 4 | Fix typo in subheader BertForQuestionAnswering | {
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"exact thanks !"
] |
https://api.github.com/repos/huggingface/transformers/issues/6 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6/comments | https://api.github.com/repos/huggingface/transformers/issues/6/events | https://github.com/huggingface/transformers/issues/6 | 377,736,844 | MDU6SXNzdWUzNzc3MzY4NDQ= | 6 | Failure during pytest (and solution for python3) | {
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foo@bar:~/foo/bar/pytorch-pretrained-BERT$ pytest -sv ./tests/
===================================================================================================================== test session starts =================================================================================================================... | {
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"Thanks, I update the readme."
] |
https://api.github.com/repos/huggingface/transformers/issues/5 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5/comments | https://api.github.com/repos/huggingface/transformers/issues/5/events | https://github.com/huggingface/transformers/issues/5 | 377,698,378 | MDU6SXNzdWUzNzc2OTgzNzg= | 5 | MRPC hyperparameters question | {
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"Our test ran on a few seeds with the original implementation hyper-parameters gave evaluation results between 82 and 87."
and you link to the SQuAD hyperparameters (https://github.com/google-research/bert#squad).
Is the link a mistake? Or did you use t... | {
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"Hi Ethan,\r\nThanks we used the MRPC hyper-parameters indeed, I corrected the README.\r\nRegarding the dev set accuracy, I am not really surprised there is a slightly lower accuracy with the PyTorch version (even though the variance is high so it's hard to get something significant). That is something that is gene... |
https://api.github.com/repos/huggingface/transformers/issues/8 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8/comments | https://api.github.com/repos/huggingface/transformers/issues/8/events | https://github.com/huggingface/transformers/pull/8 | 378,859,647 | MDExOlB1bGxSZXF1ZXN0MjI5NDY0MjQ5 | 8 | fixed small typos in the README.md | {
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"Many thanks!"
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https://api.github.com/repos/huggingface/transformers/issues/9 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9/comments | https://api.github.com/repos/huggingface/transformers/issues/9/events | https://github.com/huggingface/transformers/issues/9 | 378,935,595 | MDU6SXNzdWUzNzg5MzU1OTU= | 9 | Crash at the end of training | {
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I was running the code, unmodified, from commit 3bfbc21376af691b912f3b6256bbeaf8e0046ba8
Is this an issue you know about?
```
11/08/2... | {
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"Here's the specific command I ran for more context: \r\n```\r\npython3.6 code/run_squad.py \\\r\n --bert_config_file bert/bert_config.json \\\r\n --vocab_file bert/vocab.txt \\\r\n --output_dir output \\\r\n --train_file data/original/train.json \\\r\n --predict_file data/original/dev.json \\\r\n --init_chec... |
https://api.github.com/repos/huggingface/transformers/issues/12 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12/comments | https://api.github.com/repos/huggingface/transformers/issues/12/events | https://github.com/huggingface/transformers/issues/12 | 379,422,090 | MDU6SXNzdWUzNzk0MjIwOTA= | 12 | py2 code | {
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"Hi, we won't provide a python 2 version but if you want to do a python 2/3 compatible version feel free to open a PR."
] |
https://api.github.com/repos/huggingface/transformers/issues/13 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/13/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/13/comments | https://api.github.com/repos/huggingface/transformers/issues/13/events | https://github.com/huggingface/transformers/issues/13 | 379,440,759 | MDU6SXNzdWUzNzk0NDA3NTk= | 13 | Bug in run_classifier.py | {
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https://api.github.com/repos/huggingface/transformers/issues/2 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/2/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/2/comments | https://api.github.com/repos/huggingface/transformers/issues/2/events | https://github.com/huggingface/transformers/pull/2 | 377,592,526 | MDExOlB1bGxSZXF1ZXN0MjI4NDk5Mjc3 | 2 | Port tokenization for the multilingual model | {
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"Thanks for that, sorry for the delay"
] | |
https://api.github.com/repos/huggingface/transformers/issues/14 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14/comments | https://api.github.com/repos/huggingface/transformers/issues/14/events | https://github.com/huggingface/transformers/pull/14 | 379,587,417 | MDExOlB1bGxSZXF1ZXN0MjI5OTk0NDY2 | 14 | fixed typo | {
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"Hi,\r\nThanks for the PR, we don't want to add a shell script to the repo.\r\nI will correct the typo,\r\nBest,\r\nThom"
] |
https://api.github.com/repos/huggingface/transformers/issues/3 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/3/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/3/comments | https://api.github.com/repos/huggingface/transformers/issues/3/events | https://github.com/huggingface/transformers/issues/3 | 377,592,631 | MDU6SXNzdWUzNzc1OTI2MzE= | 3 | run_squad questions | {
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"followers_url": "https://api.github.com/users/thomw... | NONE | [] | null | null | null | null | Thanks a lot for the port! I have some minor questions, for the run_squad file, I see two options for accumulating gradients, accumulate_gradients and gradient_accumulation_steps but it seems to me that it can be combined into one. The other one is for the global_step variable, seems we are only counting but not using ... | {
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"It also seems to me that the SQuAD 1.1 can not reproduce the google tensorflow version performance.",
"> It also seems to me that the SQuAD 1.1 can not reproduce the google tensorflow version performance.\r\n\r\nWhat batch size are you running?",
"I'm running on 4 GPU with a batch size of 48, the result is {\"... |
https://api.github.com/repos/huggingface/transformers/issues/15 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15/comments | https://api.github.com/repos/huggingface/transformers/issues/15/events | https://github.com/huggingface/transformers/issues/15 | 380,271,134 | MDU6SXNzdWUzODAyNzExMzQ= | 15 | activation function in BERTIntermediate | {
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https://github.com/huggingface/pytorch-pretrained-BERT/blob/master/modeling.py#L240 | {
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"Yes, I hard coded that since the pre-trained models are all trained with gelu anyway.",
"ok. but since config is there anyway, isn't it cleaner to use it (to avoid errors for people using configs that use a different activation for some reason) ?",
"Yes we can, I'll change that in the coming first release (unl... |
https://api.github.com/repos/huggingface/transformers/issues/16 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16/comments | https://api.github.com/repos/huggingface/transformers/issues/16/events | https://github.com/huggingface/transformers/pull/16 | 380,272,853 | MDExOlB1bGxSZXF1ZXN0MjMwNTEwOTY4 | 16 | Excluding AdamWeightDecayOptimizer internal variables from restoring | {
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"merged_at": "2018-11-... | I tried to use convert_tf_checkpoint_to_pytorch.py script to convert my pretrained model, but in order to do so, I had to make some minor tweaks. I thought I would share in case you find it useful. | {
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"Is your pre-trained model a TensorFlow model?",
"Yes",
"Nice, thanks for that!"
] |
https://api.github.com/repos/huggingface/transformers/issues/17 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17/comments | https://api.github.com/repos/huggingface/transformers/issues/17/events | https://github.com/huggingface/transformers/pull/17 | 380,292,054 | MDExOlB1bGxSZXF1ZXN0MjMwNTI2MTY0 | 17 | activation function in BERTIntermediate | {
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"merged_at": "2018-11-... | Was previously hardcoded to gelu because pretrained BERT models use gelu.
Changed to make BERTIntermediate use functions and "gelu", "relu" or "swish" from `config`. | {
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"Looks good, thanks for that!"
] |
https://api.github.com/repos/huggingface/transformers/issues/29 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29/comments | https://api.github.com/repos/huggingface/transformers/issues/29/events | https://github.com/huggingface/transformers/pull/29 | 381,853,838 | MDExOlB1bGxSZXF1ZXN0MjMxNzIyMjU4 | 29 | First release | {
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https://api.github.com/repos/huggingface/transformers/issues/19 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19/comments | https://api.github.com/repos/huggingface/transformers/issues/19/events | https://github.com/huggingface/transformers/issues/19 | 380,555,132 | MDU6SXNzdWUzODA1NTUxMzI= | 19 | will you push the pytorch code for the pre-training process? | {
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I really want to study, but I can't understand tensorflow, it's so complex.
thanks!!! | {
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"Hi, I don't have plan for that in the near future."
] |
https://api.github.com/repos/huggingface/transformers/issues/24 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24/comments | https://api.github.com/repos/huggingface/transformers/issues/24/events | https://github.com/huggingface/transformers/issues/24 | 381,387,717 | MDU6SXNzdWUzODEzODc3MTc= | 24 | [Feature request] Port SQuAD 2.0 support | {
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https://github.com/google-research/bert/commit/60454702590a6c69bd45c5d4258c7e17b8a3e1da
Would be great to also have it available in the Pytorch version. | {
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"Hi, I don't have plan for that in the near future but feel free to open a PR."
] |
https://api.github.com/repos/huggingface/transformers/issues/25 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25/comments | https://api.github.com/repos/huggingface/transformers/issues/25/events | https://github.com/huggingface/transformers/issues/25 | 381,490,584 | MDU6SXNzdWUzODE0OTA1ODQ= | 25 | can you push the run-pretraining and create_pretraining_data codes? | {
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"Hi, I don't have plan for that in the near future."
] |
https://api.github.com/repos/huggingface/transformers/issues/28 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28/comments | https://api.github.com/repos/huggingface/transformers/issues/28/events | https://github.com/huggingface/transformers/issues/28 | 381,835,436 | MDU6SXNzdWUzODE4MzU0MzY= | 28 | speed is very slow | {
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"Running on a GPU, I find that dumping extracted features takes up most time. So you may optimize it yourself. ",
"Hi, these examples are provided as starting point to write your own training scripts using the package modules. I don't plan to update them any further."
] |
https://api.github.com/repos/huggingface/transformers/issues/22 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22/comments | https://api.github.com/repos/huggingface/transformers/issues/22/events | https://github.com/huggingface/transformers/pull/22 | 381,097,721 | MDExOlB1bGxSZXF1ZXN0MjMxMTQ0MTAx | 22 | adding `no_cuda` flag | {
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} | The `--no_cuda` flag is missing from the flagset in `extract_features.py`. On running the current code, the following error occurs.
```
(py3.5) [rahul pytorch-pretrained-BERT]$ python extract_features.py \
> --input_file=./input.txt \
> --output_file=./output.jsonl \
> --vocab_file=$BERT_BASE_DIR/vocab.txt... | {
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"Thanks, I've added that manually (the library organization has changed a bit with the first pip release)."
] |
https://api.github.com/repos/huggingface/transformers/issues/21 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21/comments | https://api.github.com/repos/huggingface/transformers/issues/21/events | https://github.com/huggingface/transformers/pull/21 | 381,038,724 | MDExOlB1bGxSZXF1ZXN0MjMxMDk4MjMy | 21 | Fix some glitches in extract_features.py | {
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} | Do the following fixing to make the extract_features.py runnable:
1. Add no_cuda argument
2. Fix the "not all arguments converted during string formatting" error thrown at line 230 | {
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"Thanks, I've pushed these fixes in the first release (the organization of the library changed quite a bit)."
] |
https://api.github.com/repos/huggingface/transformers/issues/18 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18/comments | https://api.github.com/repos/huggingface/transformers/issues/18/events | https://github.com/huggingface/transformers/pull/18 | 380,305,486 | MDExOlB1bGxSZXF1ZXN0MjMwNTM2Mzg4 | 18 | include the output layer in the model using the pretrained weights | {
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} | This is to be able to load the final output layer (bert.output_layer) from the TensorFlow pre-trained model.
In particular, it is a fully connected layer that is used to map the final hidden layer to the vocabulary size, to then apply the softmax, as follows:
logits = bert.output_layer(sequence_output)
log_softmax... | {
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"Thanks for that. I've ended up taking a more modular approach in the first pip release of the library."
] |
https://api.github.com/repos/huggingface/transformers/issues/23 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23/comments | https://api.github.com/repos/huggingface/transformers/issues/23/events | https://github.com/huggingface/transformers/issues/23 | 381,250,921 | MDU6SXNzdWUzODEyNTA5MjE= | 23 | ValueError while using --optimize_on_cpu | {
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File "./run_squad.py", line 990, in <module>
main()
File "./run_squad.py", line 922, in main
is_nan = set_optimizer_params_grad(param_optimizer, model.named_parameters(), test_nan=True)
File "./run_squad.py", line 691, in set_optimizer_params... | {
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"Thanks! I pushed a fix for that, you can try it again. You should be able to increase a bit the batch size.\r\n\r\nBy the way, the real batch size that is used on the gpu is `train_batch_size / gradient_accumulation_steps` so `2` in your case. I think you should be able to go to `3` with `--optimize_on_cpu`\r\n\r\... |
https://api.github.com/repos/huggingface/transformers/issues/35 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/35/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/35/comments | https://api.github.com/repos/huggingface/transformers/issues/35/events | https://github.com/huggingface/transformers/issues/35 | 381,998,040 | MDU6SXNzdWUzODE5OTgwNDA= | 35 | issues with accents on convert_ids_to_tokens() | {
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Example:
- original sentence: "great breakfasts in a nice furnished cafè, slightly bohemian."
- corresponding list of token produced : ['great', 'breakfast', '##s', 'in', 'a', 'nice', 'fur', '##nis', '##hed', 'cafe', ',', 'slightly... | {
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"This is expected behaviour and is how the multilingual and the uncased models were trained. From the [original repo](https://github.com/google-research/bert/blob/master/README.md):\r\n\r\n> We are releasing the BERT-Base and BERT-Large models from the paper. Uncased means that the text has been lowercased before W... |
https://api.github.com/repos/huggingface/transformers/issues/34 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/34/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/34/comments | https://api.github.com/repos/huggingface/transformers/issues/34/events | https://github.com/huggingface/transformers/issues/34 | 381,965,833 | MDU6SXNzdWUzODE5NjU4MzM= | 34 | Can not find vocabulary file for Chinese model | {
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CUDA_VISIBLE_DEVICES=3 python run_classifier.py --task_name weibo --do_eval --do_train --bert_model chinese_L-12_H-768_A-12 --max_seq_length 128 --train_batch_size 32 --learning_rate 2e-5 --num_... | {
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"need to specify the path of vocab.txt for:\r\ntokenizer = BertTokenizer.from_pretrained(args.bert_model)",
"@zlinao ，i try to load the vocab using the following code：\r\ntokenizer = BertTokenizer.from_pretrained(\"bert-base-chinese//vocab.txt\"\r\n\r\nhowever，get errors\r\n11/19/2018 15:33:13 - INFO - pytorch_pr... |
https://api.github.com/repos/huggingface/transformers/issues/40 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40/comments | https://api.github.com/repos/huggingface/transformers/issues/40/events | https://github.com/huggingface/transformers/pull/40 | 382,327,249 | MDExOlB1bGxSZXF1ZXN0MjMyMDYwODU1 | 40 | update pip package name | {
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https://api.github.com/repos/huggingface/transformers/issues/41 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41/comments | https://api.github.com/repos/huggingface/transformers/issues/41/events | https://github.com/huggingface/transformers/issues/41 | 382,489,751 | MDU6SXNzdWUzODI0ODk3NTE= | 41 | Typo in README | {
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`tokenized_text = "Who was Jim Henson ? Jim Henson was a puppeteer"`
I think `tokenized_text` should be replaced with `text`, since the next line is
`tokenized_text =... | {
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"Yes"
] |
https://api.github.com/repos/huggingface/transformers/issues/39 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39/comments | https://api.github.com/repos/huggingface/transformers/issues/39/events | https://github.com/huggingface/transformers/issues/39 | 382,300,869 | MDU6SXNzdWUzODIzMDA4Njk= | 39 | Command-line interface Document Bug | {
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`export BERT_BASE_DIR=chinese_L-12_H-768_A-12`
**Wrong:**
```
pytorch_pretrained_bert convert_tf_checkpoint_to_pytorch \
--tf_checkpoint_path $BERT_BASE_DIR/bert_model.ckpt.index \
--bert_config_file $BERT_BASE_DIR/bert_config.json \
--pytorch_... | {
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"Thanks!"
] |
https://api.github.com/repos/huggingface/transformers/issues/33 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/33/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/33/comments | https://api.github.com/repos/huggingface/transformers/issues/33/events | https://github.com/huggingface/transformers/issues/33 | 381,939,792 | MDU6SXNzdWUzODE5Mzk3OTI= | 33 | [Bug report] Ineffective no_decay when using BERTAdam | {
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With this code, all parameters are decayed because the condition "parameter_name in no_decay" will never be satisfied.
I've made a PR #32 to fix it. | {
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"You're right, thanks!"
] |
https://api.github.com/repos/huggingface/transformers/issues/42 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/42/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/42/comments | https://api.github.com/repos/huggingface/transformers/issues/42/events | https://github.com/huggingface/transformers/pull/42 | 382,492,723 | MDExOlB1bGxSZXF1ZXN0MjMyMTg2NjE0 | 42 | Fixed UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 | {
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"merged_at": "2018-11-... | I encountered `UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 in position 3793: ordinal not in range(128)` when running the starter example shown under the Usage section. It turned out to be related to the `load_vocab` function in `tokenization.py`. Forcing `open` to use encoding `utf8` solved this issue on ... | {
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"Thanks!"
] |
https://api.github.com/repos/huggingface/transformers/issues/45 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/45/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/45/comments | https://api.github.com/repos/huggingface/transformers/issues/45/events | https://github.com/huggingface/transformers/issues/45 | 382,579,717 | MDU6SXNzdWUzODI1Nzk3MTc= | 45 | Issue of `bert_model` arg in `run_classify.py` | {
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I am trying to understand the `bert_model` arg in `run_classify.py`. In the file, I can see
```
tokenizer = BertTokenizer.from_pretrained(args.bert_model)
```
where `bert_model` is expected to be the vocab text file of the model
However, I also see
```
model = BertForSequenceClassification.from_pretr... | {
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"Hi, please read [this section](https://github.com/huggingface/pytorch-pretrained-BERT#loading-google-ais-pre-trained-weigths-and-pytorch-dump) of the readme."
] |
https://api.github.com/repos/huggingface/transformers/issues/43 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/43/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/43/comments | https://api.github.com/repos/huggingface/transformers/issues/43/events | https://github.com/huggingface/transformers/issues/43 | 382,553,589 | MDU6SXNzdWUzODI1NTM1ODk= | 43 | grad is None in squad example | {
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```
Traceback (most recent call last): | 0/7331 [00:00<?, ?it/s]
File "examples/run_squad.py", line 973, in <m... | {
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"Oh you're right. I've just fixed that. you can try to pull the current master and test again.",
"@thomwolf it works, thanks"
] |
https://api.github.com/repos/huggingface/transformers/issues/49 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/49/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/49/comments | https://api.github.com/repos/huggingface/transformers/issues/49/events | https://github.com/huggingface/transformers/issues/49 | 383,028,844 | MDU6SXNzdWUzODMwMjg4NDQ= | 49 | Multilingual Issue | {
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I have two questions.
First, how can I use multilingual pre-trained BERT in pytorch?
Is it all download model to $BERT_BASE_DIR?
Second is tokenization issue.
For Chinese and Japanese, tokenizer may works, however, for Korean, it shows different result that I expected
```
import torch
from p... | {
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"Hi, you can use the multilingual model as [indicated in the readme](https://github.com/huggingface/pytorch-pretrained-BERT#loading-google-ais-pre-trained-weigths-and-pytorch-dump) with the commands:\r\n```python\r\ntokenizer = BertTokenizer.from_pretrained('bert-base-multilingual')\r\nmodel = BertModel.from_pretra... |
https://api.github.com/repos/huggingface/transformers/issues/52 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/52/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/52/comments | https://api.github.com/repos/huggingface/transformers/issues/52/events | https://github.com/huggingface/transformers/issues/52 | 383,586,156 | MDU6SXNzdWUzODM1ODYxNTY= | 52 | UnicodeDecodeError: 'charmap' codec can't decode byte 0x90 in position 3920: character maps to <undefined> | {
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When I run the following snippet:
import torch
from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM
# Load pre-trained model tokenizer (vocabulary)
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
... | {
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"I am facing the same problem.\r\n\r\nFixed it with \"with open(vocab_file, \"r\"**, encoding=\"utf-8\"**) as reader:\" in line 68 of tokenization.py",
"Thanks, it's fixed on master and will be included in the next release."
] |
https://api.github.com/repos/huggingface/transformers/issues/55 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/55/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/55/comments | https://api.github.com/repos/huggingface/transformers/issues/55/events | https://github.com/huggingface/transformers/issues/55 | 384,044,666 | MDU6SXNzdWUzODQwNDQ2NjY= | 55 | Loss calculation error | {
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Got `ValueError: Expected target size (1, 30522), got torch.Size([1, 11])` at line 744 of `modeling.py`. I think the line should be changed to `masked_lm_loss = loss_fct(predi... | {
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"Hi Jian, can you give me a small (self-contained) example showing how to get this error?",
"Hi Thomas! I modified the code in your `README.md` for an example:\r\n\r\n```python\r\nfrom pytorch_pretrained_bert.modeling import BertForMaskedLM, BertConfig\r\nfrom pytorch_pretrained_bert import BertTokenizer\r\nimpor... |
https://api.github.com/repos/huggingface/transformers/issues/54 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/54/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/54/comments | https://api.github.com/repos/huggingface/transformers/issues/54/events | https://github.com/huggingface/transformers/issues/54 | 383,967,106 | MDU6SXNzdWUzODM5NjcxMDY= | 54 | example in BertForSequenceClassification() conflicts with the api | {
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**1**. `UnicodeDecodeError: 'gbk' codec can't decode byte 0x85 in position 4527: illegal multibyte sequence`,
same problem as ISSUE 52 when I excute the `BertTokenizer.from_pretrained('bert-base-uncased')`, but I successfully excute `... | {
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"Hi,\r\n(1) is solved on master. I will release a new release soon with the fixes on pip. In the mean time you can install from sources if you want.\r\nI fixed the typo in the docstring you mention in (2), thanks, it should be a `1` instead of a `2`."
] |
https://api.github.com/repos/huggingface/transformers/issues/51 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/51/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/51/comments | https://api.github.com/repos/huggingface/transformers/issues/51/events | https://github.com/huggingface/transformers/issues/51 | 383,162,319 | MDU6SXNzdWUzODMxNjIzMTk= | 51 | Missing options/arguments in run_squad.py for BERT Large | {
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"followers_url": "https://api.github.com/users/avisil/fo... | [] | closed | false | [] | null | 1 | 2018-11-21T15:10:45Z | 2018-11-26T08:57:23Z | 2018-11-26T08:57:23Z | null | NONE | [] | null | null | null | null | Thanks for the great code..However, the `run_squad.py` for BERT Large seems to not have the `vocab_file` and `bert_config_file` (or other) options/arguments. Did you push the latest version?
Also, it is looking for a pytorch model file (a bin file). Does it need to be there?
I also had to add this line to the file... | {
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"Yes, the readme example was for an older version. I have updated them with the simplified parameters used in the current release. Thanks."
] |
https://api.github.com/repos/huggingface/transformers/issues/38 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38/comments | https://api.github.com/repos/huggingface/transformers/issues/38/events | https://github.com/huggingface/transformers/issues/38 | 382,297,444 | MDU6SXNzdWUzODIyOTc0NDQ= | 38 | truncated normal initializer | {
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https://discuss.pytorch.org/t/implementing-truncated-normal-initializer/4778/16?u=ruotianluo
| {
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"We could try that. Not sure how important it is though. Did you try it?",
"Ok I think we will stick to the normal_initializer for now. Thanks for indicating this option!"
] |
https://api.github.com/repos/huggingface/transformers/issues/57 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/57/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/57/comments | https://api.github.com/repos/huggingface/transformers/issues/57/events | https://github.com/huggingface/transformers/issues/57 | 384,525,339 | MDU6SXNzdWUzODQ1MjUzMzk= | 57 | Missing function convert_to_unicode in tokenization.py | {
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https://github.com/huggingface/pytorch-pretrained-BERT/blob/ce37b8e4819142171b61558e64f7dcb0286e9937/examples/run_class... | {
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"Fixed in master, thanks!"
] |
https://api.github.com/repos/huggingface/transformers/issues/44 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/44/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/44/comments | https://api.github.com/repos/huggingface/transformers/issues/44/events | https://github.com/huggingface/transformers/issues/44 | 382,576,559 | MDU6SXNzdWUzODI1NzY1NTk= | 44 | Race condition when prepare pretrained model in distributed training | {
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I launched two processes per node to run distributed run_classifier.py. However, I am occasionally get below error:
```
11/20/2018 09:31:48 - INFO - pytorch_pretrained_bert.file_utils - copying /tmp/tmpa25_y4es to cache at /root/.pytorch_pretrained_bert/9c41111e2de84547a463fd39217199738d1e3deb72d4fec4399e6... | {
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"My current workaround is to set the env var `PYTORCH_PRETRAINED_BERT_CACHE` to a different path per process before import `pytorch_pretrained_bert`. But I think the module itself should handle this properly",
"I see, thanks for the feedback. I will find a way to make that better in the next release. Not sure we ... |
https://api.github.com/repos/huggingface/transformers/issues/53 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/53/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/53/comments | https://api.github.com/repos/huggingface/transformers/issues/53/events | https://github.com/huggingface/transformers/issues/53 | 383,946,736 | MDU6SXNzdWUzODM5NDY3MzY= | 53 | Multi-GPU training vs Distributed training | {
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I have a question about Multi-GPU vs Distributed training, probably unrelated to BERT itself.
I have a 4-GPU server, and was trying to run `run_classifier.py` in two ways:
(a) run single-node distributed training with 4 processes and minibatch of 32 each
(b) run Multi-GPU training with minibatch of 128, a... | {
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"Hi,\r\n\r\nThanks for the feedback, it's always interesting to compare the various possible ways to train the model indeed.\r\n\r\nThe most likely cause for (2) is that MRPC is a small dataset and the model shows a high variance in the results depending on the initialization of the weights for example (see the ori... |
https://api.github.com/repos/huggingface/transformers/issues/58 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/58/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/58/comments | https://api.github.com/repos/huggingface/transformers/issues/58/events | https://github.com/huggingface/transformers/pull/58 | 384,691,312 | MDExOlB1bGxSZXF1ZXN0MjMzODMwMzc1 | 58 | Bug fix in examples;correct t_total for distributed training;run pred… | {
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"merged_at": "2018-11-... | Bug fix in examples;
correct t_total for distributed training;
run prediction for full dataset | {
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"Thanks @lliimsft!"
] |
https://api.github.com/repos/huggingface/transformers/issues/60 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/60/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/60/comments | https://api.github.com/repos/huggingface/transformers/issues/60/events | https://github.com/huggingface/transformers/pull/60 | 385,278,339 | MDExOlB1bGxSZXF1ZXN0MjM0Mjg0NDg3 | 60 | Updated quick-start example with `BertForMaskedLM` | {
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"Nice, thanks @davidefiocco "
] |
https://api.github.com/repos/huggingface/transformers/issues/67 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/67/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/67/comments | https://api.github.com/repos/huggingface/transformers/issues/67/events | https://github.com/huggingface/transformers/issues/67 | 386,047,173 | MDU6SXNzdWUzODYwNDcxNzM= | 67 | `TypeError: object of type 'NoneType' has no len()` when tuning on squad | {
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Full log:
```
python3.6 examples/run_squad.py \
> --bert_model bert-base-uncased \
> --do_train ... | {
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"Oh I see, this should be fixed in `master` by 257a35134a1bd378b16aa985ee76675289ff439c just update your repo please."
] |
https://api.github.com/repos/huggingface/transformers/issues/66 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/66/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/66/comments | https://api.github.com/repos/huggingface/transformers/issues/66/events | https://github.com/huggingface/transformers/pull/66 | 385,774,972 | MDExOlB1bGxSZXF1ZXN0MjM0NjY4MDQy | 66 | speedup by truncating unused part | {
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"Hi Mathis,\r\nThanks for that. I think it's better for the user to send inputs that they truncated themselves rather than doing that hidden inside the model.\r\nBest,\r\nThomas"
] | |
https://api.github.com/repos/huggingface/transformers/issues/70 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/70/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/70/comments | https://api.github.com/repos/huggingface/transformers/issues/70/events | https://github.com/huggingface/transformers/pull/70 | 386,245,181 | MDExOlB1bGxSZXF1ZXN0MjM1MDMzMDI3 | 70 | fix typo in input for masked lm loss function | {
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"thanks"
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https://api.github.com/repos/huggingface/transformers/issues/71 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/71/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/71/comments | https://api.github.com/repos/huggingface/transformers/issues/71/events | https://github.com/huggingface/transformers/issues/71 | 386,303,565 | MDU6SXNzdWUzODYzMDM1NjU= | 71 | run_squad script gets stuck | {
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I am trying to run the squad fine tuning script, but it hangs after printing out a few predictions. I am attaching the log. Can you help take a look?
I am running the script on a machine with 8 M40s.
[bert_squad.log](https://github.com/huggingface/pytorch-pretrained-BERT/files/2634588/bert_squad.log)
... | {
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"Never mind, it just needed time to process the examples. It might be good to have the progress bar inside convert_examples_to_features.",
"Maybe try distributed training? I don't think PyTorch `DataParallel` will be very efficient on 8 GPUs due to the python GIL.",
"Thanks for the suggestion. I will try that. ... |
https://api.github.com/repos/huggingface/transformers/issues/56 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/56/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/56/comments | https://api.github.com/repos/huggingface/transformers/issues/56/events | https://github.com/huggingface/transformers/issues/56 | 384,276,059 | MDU6SXNzdWUzODQyNzYwNTk= | 56 | [Feature request ] Add support for the new cased version of the multilingual model | {
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"Hi @elyase, this model is now added in the new release 0.3.0.\r\nI also added the other new model by Google (`bert-large-cased`)"
] |
https://api.github.com/repos/huggingface/transformers/issues/61 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/61/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/61/comments | https://api.github.com/repos/huggingface/transformers/issues/61/events | https://github.com/huggingface/transformers/issues/61 | 385,304,675 | MDU6SXNzdWUzODUzMDQ2NzU= | 61 | BERTConfigs in example usages in `modeling.py` are not OK (?) | {
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In the `config` definition https://github.com/huggingface/pytorch-pretrained-BERT/blob/21f0196412115876da1c38652d22d1f7a14b36ff/pytorch_pretrained_bert/modeling.py#L848
in the Example usage of `BertForSequenceClassification` in `modeling.py`, there's things I don't understand:
- `vocab_size` in not an accept... | {
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"Hi @davidefiocco, you are right, I updated the docstrings in the new release 0.3.0."
] |
https://api.github.com/repos/huggingface/transformers/issues/62 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/62/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/62/comments | https://api.github.com/repos/huggingface/transformers/issues/62/events | https://github.com/huggingface/transformers/issues/62 | 385,368,286 | MDU6SXNzdWUzODUzNjgyODY= | 62 | Specify a model from a specific directory for extract_features.py | {
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```
bert-base-cased-vocab.txt
bert_config.json
pytorch_model.bin
```
But when I try to specify the directory which contains these files for the `--bert_model` par... | {
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"The last update broke this, but you can fix this in tokenization.py, you have to add this after `vocab_file = pretrained_model_name`:\r\n```\r\nif os.path.isdir(vocab_file):\r\n vocab_file = os.path.join(vocab_file, \"vocab.txt\")\r\n```\r\n",
"Thank you, is it fair to assume that this will get accepted as an... |
https://api.github.com/repos/huggingface/transformers/issues/72 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/72/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/72/comments | https://api.github.com/repos/huggingface/transformers/issues/72/events | https://github.com/huggingface/transformers/pull/72 | 386,352,239 | MDExOlB1bGxSZXF1ZXN0MjM1MTE2ODY5 | 72 | Fix internal hyperlink typo | {
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https://api.github.com/repos/huggingface/transformers/issues/73 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/73/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/73/comments | https://api.github.com/repos/huggingface/transformers/issues/73/events | https://github.com/huggingface/transformers/pull/73 | 386,369,366 | MDExOlB1bGxSZXF1ZXN0MjM1MTMwMzgw | 73 | Third release | {
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"merged_at": "2018-11-... | This third release comprise the following updates:
- added the two new pre-trained model from Google: `bert-large-cased` and `bert-multilingual-cased`,
- added a model for token-level classification: `BertForTokenClassification`,
- added tests for every model class, with and without labels,
- fixed tokenizer loadin... | {
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https://api.github.com/repos/huggingface/transformers/issues/68 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/68/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/68/comments | https://api.github.com/repos/huggingface/transformers/issues/68/events | https://github.com/huggingface/transformers/issues/68 | 386,055,987 | MDU6SXNzdWUzODYwNTU5ODc= | 68 | Accuracy on classification task is lower than the official tensorflow version | {
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Thanks！ | {
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"Hi!\r\nCould it be different seeds?\r\nSee e.g. https://github.com/huggingface/pytorch-pretrained-BERT/issues/53#issuecomment-441565229",
"Hi @ejld, yes BERT has a large variance on many fine-tuning tasks (see also the discussion in #64).\r\nYou should try a bunch of different seeds (like 10 seeds for example) a... |
https://api.github.com/repos/huggingface/transformers/issues/75 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/75/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/75/comments | https://api.github.com/repos/huggingface/transformers/issues/75/events | https://github.com/huggingface/transformers/pull/75 | 386,394,416 | MDExOlB1bGxSZXF1ZXN0MjM1MTUwMDc2 | 75 | Point typo fix | {
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https://api.github.com/repos/huggingface/transformers/issues/74 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/74/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/74/comments | https://api.github.com/repos/huggingface/transformers/issues/74/events | https://github.com/huggingface/transformers/pull/74 | 386,394,375 | MDExOlB1bGxSZXF1ZXN0MjM1MTUwMDQ0 | 74 | Update finetuning example in README adding --do_lower_case | {
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"merged_at": "2018-12-... | Should be consistent with the fact that an uncased model is used | {
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"Indeed"
] |
https://api.github.com/repos/huggingface/transformers/issues/76 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/76/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/76/comments | https://api.github.com/repos/huggingface/transformers/issues/76/events | https://github.com/huggingface/transformers/issues/76 | 386,489,436 | MDU6SXNzdWUzODY0ODk0MzY= | 76 | Wrong signature in model call in run_classifier.py example (?) | {
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"followers_url": "https://api.github.com... | [] | closed | false | [] | null | 2 | 2018-12-01T19:34:40Z | 2018-12-02T12:02:34Z | 2018-12-02T12:02:34Z | null | CONTRIBUTOR | [] | null | null | null | null | I think that
https://github.com/huggingface/pytorch-pretrained-BERT/blob/063be09b714bf4d2fbbc3de7f52c45b8bc6817eb/examples/run_classifier.py#L608
may well have a problem, as it's not consistent with
https://github.com/huggingface/pytorch-pretrained-BERT/blob/063be09b714bf4d2fbbc3de7f52c45b8bc6817eb/examples/run_cl... | {
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"You are right, I also encountered this small error.",
"Thanks for noticing, fixed in #77."
] |
https://api.github.com/repos/huggingface/transformers/issues/78 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/78/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/78/comments | https://api.github.com/repos/huggingface/transformers/issues/78/events | https://github.com/huggingface/transformers/issues/78 | 386,553,265 | MDU6SXNzdWUzODY1NTMyNjU= | 78 | TypeError: object of type 'WindowsPath' has no len() | {
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"followers_url": "https://api.github.com/users/Dee... | [] | closed | false | [] | null | 4 | 2018-12-02T12:03:51Z | 2018-12-02T15:30:43Z | 2018-12-02T15:30:43Z | null | NONE | [] | null | null | null | null | Hi, when I run "tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')", the error "TypeError: object of type 'WindowsPath' has no len()" occurs, what is the problem? Thank you for your excellent code! | {
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"Can you post a more detailed log?",
"I install your PyTorch pretrained bert with pip like \"pip install pytorch-pretrained-bert\", then I run the code in Usage section like:\r\n\r\n`import torch`\r\n`from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM`\r\n\r\n`# Load pre-trained model t... |
https://api.github.com/repos/huggingface/transformers/issues/79 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/79/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/79/comments | https://api.github.com/repos/huggingface/transformers/issues/79/events | https://github.com/huggingface/transformers/issues/79 | 386,698,511 | MDU6SXNzdWUzODY2OTg1MTE= | 79 | numpy.core._internal.AxisError: axis 1 is out of bounds for array of dimension 1 | {
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<img width="752" alt="default" src="https://user-images.githubusercontent.com/29532760/49360256-9de0e100-f713-11e8-9a5c-d9f2bc5331e6.PNG">
the mistake is happening when training is over and the mod... | {
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"Hi, just update the repo to the current master, this should have been fixed this weekend (re-open the issue of it's not)."
] |
https://api.github.com/repos/huggingface/transformers/issues/84 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/84/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/84/comments | https://api.github.com/repos/huggingface/transformers/issues/84/events | https://github.com/huggingface/transformers/pull/84 | 387,059,110 | MDExOlB1bGxSZXF1ZXN0MjM1NjM0MDky | 84 | elementwise_mean -> mean (thinking ahead to pytorch 1.0) | {
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"url": "https://api.github.com/repos/huggingface/transformers/pulls/84",
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} | under the pytorch 1.0 nightly this test generates
```
UserWarning: reduction='elementwise_mean' is deprecated, please use reduction='mean' instead.
```
so this PR fixes that. | {
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"oops, doesn't work under current pytorch, never mind"
] |
https://api.github.com/repos/huggingface/transformers/issues/82 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/82/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/82/comments | https://api.github.com/repos/huggingface/transformers/issues/82/events | https://github.com/huggingface/transformers/issues/82 | 386,887,965 | MDU6SXNzdWUzODY4ODc5NjU= | 82 | AttributeError: 'tuple' object has no attribute 'backward' | {
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File "examples/run_classifier.py", line 637, in <module>
main()
File "examples/run_classifier.py", line 558, in main
... | {
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"Looks like there was a code change which changed the forward method of the model involved here from returning a tensor to returning a tuple of tensors and the example hasn't been updated yet to reflect that change. There's probably a line in run_classifier.py like\r\n```Python\r\nloss = model(input...)\r\n```\r\nw... |
https://api.github.com/repos/huggingface/transformers/issues/83 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/83/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/83/comments | https://api.github.com/repos/huggingface/transformers/issues/83/events | https://github.com/huggingface/transformers/issues/83 | 386,988,878 | MDU6SXNzdWUzODY5ODg4Nzg= | 83 | Error while runing example | {
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I have a problem when running the example, could you please give me a hint on what may I be doing wrong?
I use:
`PYTHONPATH=. python examples/run_classifier.py --task_name MNLI --do_train --do_eval --do_lower_case --data_dir ../GLUE-baselines/glue_data/MNLI/ --bert_model bert-base-uncased --max_seq_len 40 -... | {
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"Hi!\r\n\r\nIn case you haven't already, modifying the source at https://github.com/huggingface/pytorch-pretrained-BERT/blob/e60e8a606837ff7f49e583de8492e55575155eb6/examples/run_classifier.py#L491 and turning it into\r\n\r\n`cache_dir=PYTORCH_PRETRAINED_BERT_CACHE / 'distributed_{}'.format(args.local_rank), num_la... |
https://api.github.com/repos/huggingface/transformers/issues/88 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/88/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/88/comments | https://api.github.com/repos/huggingface/transformers/issues/88/events | https://github.com/huggingface/transformers/issues/88 | 387,286,653 | MDU6SXNzdWUzODcyODY2NTM= | 88 | Error when calculating loss and running backward | {
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The hyper-parameters are as follows:
<pre>
args.max_seq_length = 100
args.do_train = True
args.do_eval = True
args.do_lower_case = True
args.train_batch_size = 32
args.eval_batch_size = 8
args.learning... | {
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"I probably know the bug. The final output layer is for binary classification but I use it for 4-class classification. I thought BERT can automatically decide between sigmoid and soft max. I will replace it with my own classifier tomorrow and see how it goes.",
"The mismatched output size between BERT and our dat... |
https://api.github.com/repos/huggingface/transformers/issues/87 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/87/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/87/comments | https://api.github.com/repos/huggingface/transformers/issues/87/events | https://github.com/huggingface/transformers/pull/87 | 387,269,400 | MDExOlB1bGxSZXF1ZXN0MjM1Nzk1ODUx | 87 | Readme file links | {
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"Thanks Grégory!"
] |
https://api.github.com/repos/huggingface/transformers/issues/86 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/86/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/86/comments | https://api.github.com/repos/huggingface/transformers/issues/86/events | https://github.com/huggingface/transformers/issues/86 | 387,233,714 | MDU6SXNzdWUzODcyMzM3MTQ= | 86 | code in run_squad.py line 263 | {
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while len(input_ids) < max_seq_length:
input_ids.append(0)
input_mask.append(0)
segment_ids.append(0)
in segment_ids array,1 indicates token from passage and 0 indicate token form query.
when padding,why segment_ids filled with 0,which represents que... | {
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"\r\n",
"Hi, what is your question?",
"Strictly speaking, the zero-padding in segment_ids leads to ambiguous tensor entries, because 0 can mean both \"first sentence\" (or query in another task?) and \"... |
https://api.github.com/repos/huggingface/transformers/issues/93 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/93/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/93/comments | https://api.github.com/repos/huggingface/transformers/issues/93/events | https://github.com/huggingface/transformers/pull/93 | 388,026,951 | MDExOlB1bGxSZXF1ZXN0MjM2Mzg2MDI5 | 93 | Zoeliao/dev | {
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https://api.github.com/repos/huggingface/transformers/issues/100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/100/comments | https://api.github.com/repos/huggingface/transformers/issues/100/events | https://github.com/huggingface/transformers/issues/100 | 388,713,951 | MDU6SXNzdWUzODg3MTM5NTE= | 100 | Squad dataset has multiple answers to a question. | {
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The confusing part here is that in line 146, only the first answer is considered, so I am wondering why is there a check for multiple answers before.
Also, SQuad dataset has multiple answe... | {
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"Hi,\r\nIn `train-v2.0.json`, there is only one answer for the question.\r\nIn `dev-v2.0.json` and hidden `test-v2.0.json`, there are several answers for a given question.\r\nI think the code that you mentioned is designed for not mistakenly using `dev-v2.0.json` for training. If you are going to use your own data ... |
https://api.github.com/repos/huggingface/transformers/issues/104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/104/comments | https://api.github.com/repos/huggingface/transformers/issues/104/events | https://github.com/huggingface/transformers/issues/104 | 388,930,579 | MDU6SXNzdWUzODg5MzA1Nzk= | 104 | BERT for classification example training files | {
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"Please read the [example section in the readme](https://github.com/huggingface/pytorch-pretrained-BERT#fine-tuning-with-bert-running-the-examples)"
] |
https://api.github.com/repos/huggingface/transformers/issues/94 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/94/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/94/comments | https://api.github.com/repos/huggingface/transformers/issues/94/events | https://github.com/huggingface/transformers/pull/94 | 388,188,357 | MDExOlB1bGxSZXF1ZXN0MjM2NTA5NjIw | 94 | Fixing the commentary of the `SquadExample` class. | {
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"merged_at": "2018-12-... | Fixing the commentary of `SquadExample` that have been copy-pasted from `InputExample`. | {
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https://api.github.com/repos/huggingface/transformers/issues/81 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/81/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/81/comments | https://api.github.com/repos/huggingface/transformers/issues/81/events | https://github.com/huggingface/transformers/issues/81 | 386,786,079 | MDU6SXNzdWUzODY3ODYwNzk= | 81 | There is some problem in supporting continuously training | {
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"Hi @ZacharyWaseda, continuous training is an open-research problem. You should rather seek some solution in the papers/workshop/conference discussing researches in this field. This is not my personal field of expertise so I can only direct you to google and other search engine for more information."
] |
https://api.github.com/repos/huggingface/transformers/issues/89 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/89/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/89/comments | https://api.github.com/repos/huggingface/transformers/issues/89/events | https://github.com/huggingface/transformers/issues/89 | 387,683,054 | MDU6SXNzdWUzODc2ODMwNTQ= | 89 | bert-base-multilingual-cased - Text bigger than 512 | {
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I am trying to extract features from German text using bert-base-multilingual-cased. However, my text is bigger than 512 words.
Is there any way to use the pertained Bert for text greater than 512 words | {
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"Hello,\r\n\r\nI do not think that it is possible out of the box. The article states the following:\r\n\r\n> We use learned positional embeddings with supported sequence lengths up to 512 tokens.\r\n\r\nThe positional embeddings are therefore limited to 512 tokens. You may be able to add positional embeddings for p... |
https://api.github.com/repos/huggingface/transformers/issues/105 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/105/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/105/comments | https://api.github.com/repos/huggingface/transformers/issues/105/events | https://github.com/huggingface/transformers/issues/105 | 388,994,586 | MDU6SXNzdWUzODg5OTQ1ODY= | 105 | weights initialized two times | {
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I found that you initilized all weights twice:
The first one is in BertModel class:
https://github.com/huggingface/pytorch-pretrained-BERT/blob/3ba5470eb85464df62f324bea88e20da234c423f/pytorch_pretrained_bert/modeling.py#L586
And the second one is in classes of each tasks such as in BertForSequenceClass... | {
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"I think it required for both the places. Because both of them can be used individually. As it is mentioned in the README.md file, the model can be loaded with 7 classes. In fact if you check `BertForMaskedLM` and `BertForNextSentencePrediction` classes it also has the weights initialised.\r\n\r\nPlease correct me ... |
https://api.github.com/repos/huggingface/transformers/issues/101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/101/comments | https://api.github.com/repos/huggingface/transformers/issues/101/events | https://github.com/huggingface/transformers/pull/101 | 388,788,249 | MDExOlB1bGxSZXF1ZXN0MjM2OTczMzA0 | 101 | Adding --do_lower_case for all uncased BERTs examples | {
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"merged_at": "2018... | I had missed those, it should make sense to use them | {
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"Indeed, thanks for that!"
] |
https://api.github.com/repos/huggingface/transformers/issues/106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/106/comments | https://api.github.com/repos/huggingface/transformers/issues/106/events | https://github.com/huggingface/transformers/issues/106 | 389,201,876 | MDU6SXNzdWUzODkyMDE4NzY= | 106 | Picking max_sequence_length in run_classifier.py CoLA task | {
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When I tested with the default max_sequence_length of 128, everything worked good, but once I changed it to something else, eg 1024, it started the training and failed on the first iteration with the error show... | {
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"As mentioned in #89, the maximum value of `max_sequence_length` is 512. ",
"@rodgzilla thanks!"
] |
https://api.github.com/repos/huggingface/transformers/issues/91 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/91/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/91/comments | https://api.github.com/repos/huggingface/transformers/issues/91/events | https://github.com/huggingface/transformers/pull/91 | 387,862,855 | MDExOlB1bGxSZXF1ZXN0MjM2MjU4MzE3 | 91 | run_classifier.py improvements | {
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"merged_at": "2018-12-... | Hi !
This PR contains multiple improvements to the `run_classifier.py` file.
The changes are:
- removing trailing whitespaces ([PEP 8](https://www.python.org/dev/peps/pep-0008/)),
- simplifying a bit the data processing code, in particular tensor formatting,
- fixing issue #83 by adapting the value of the `nu... | {
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"Neat!"
] |
https://api.github.com/repos/huggingface/transformers/issues/107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/107/comments | https://api.github.com/repos/huggingface/transformers/issues/107/events | https://github.com/huggingface/transformers/pull/107 | 389,227,363 | MDExOlB1bGxSZXF1ZXN0MjM3MjYyNzEy | 107 | Fix optimizer to work with horovod | {
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"Great thanks!"
] | |
https://api.github.com/repos/huggingface/transformers/issues/103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/103/comments | https://api.github.com/repos/huggingface/transformers/issues/103/events | https://github.com/huggingface/transformers/issues/103 | 388,915,407 | MDU6SXNzdWUzODg5MTU0MDc= | 103 | Words after tokenization replaced with # | {
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When training the bert-base-multilingual-cased model for Question and Answering, I see that the tokens look like this :
```tokens: [CLS] what is the ins ##ured _ name ? [SEP] versi ##cherung ##ss ##che ##in erg ##o hau ##srat ##versi ##cherung hr - sv 927 ##26 ##49 ##2 ```
Any idea why words are gettin... | {
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"Because it uses WordPiece tokenization, and will introduce the `#` token.\r\nCheck: https://github.com/google-research/bert#tokenization",
"@ymcui okay sweet, thank you. Will use the relevant one. ",
"@ymcui How do I change this ? or is not possible to do so?",
"1. If you are training completely from scratch... |
https://api.github.com/repos/huggingface/transformers/issues/114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/114/comments | https://api.github.com/repos/huggingface/transformers/issues/114/events | https://github.com/huggingface/transformers/issues/114 | 389,846,897 | MDU6SXNzdWUzODk4NDY4OTc= | 114 | What is the best dataset structure for BERT? | {
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I am using BertForSequenceClassification and am wondering what the optimal way is to structure my sequences.
Right now my sequences are blog post which could be upwards to 400 words long.
Would it be better to split my blog posts in sentences and use the se... | {
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https://api.github.com/repos/huggingface/transformers/issues/111 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/111/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/111/comments | https://api.github.com/repos/huggingface/transformers/issues/111/events | https://github.com/huggingface/transformers/pull/111 | 389,696,001 | MDExOlB1bGxSZXF1ZXN0MjM3NjI2NDQw | 111 | update: add from_state_dict for PreTrainedBertModel | {
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... | For restoring the training procedure.
Now we can use torch.save to store their model and restore their model by e.g. `model = BertForSequenceClassification.from_state_dict('bert-large-uncased', state_dict=torch.load('xx.pth'))` | {
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"Hi, I like the idea but I not a big fan of all the code duplication I'ld rather fuse the two loading functions in one.\r\nBasically we can just add a `state_dict` argument to `from_pretrained` and add a check in `from_pretrained` to handle the case.",
"> Hi, I like the idea but I not a big fan of all the code du... |
https://api.github.com/repos/huggingface/transformers/issues/113 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/113/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/113/comments | https://api.github.com/repos/huggingface/transformers/issues/113/events | https://github.com/huggingface/transformers/pull/113 | 389,741,749 | MDExOlB1bGxSZXF1ZXN0MjM3NjYxMzY5 | 113 | fix compatibility with python 3.5.2 | {
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"merged_at": "2018... | When I run the following command on python 3.5.2
```
python3 extract_features.py --input_file input.txt --output_file output.txt --bert_model bert-base-uncased --do_lower_case
```
Get this error:
```
Traceback (most recent call last):
File "extract_features.py", line 298, in <module>
main()
File ... | {
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"Thanks, it could be nice to keep Python 3.5 compatibility indeed (see #110) but I think this will break (at least) the other examples (`run_squad` and `run_classifier`) which uses the Pathlib syntax `PATH / 'string'`.",
"I'm sorry for my previous stupid workaround, but now I modify some functions in ``file_utils... |
https://api.github.com/repos/huggingface/transformers/issues/110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/110/comments | https://api.github.com/repos/huggingface/transformers/issues/110/events | https://github.com/huggingface/transformers/issues/110 | 389,549,868 | MDU6SXNzdWUzODk1NDk4Njg= | 110 | Pretrained Tokenizer Loading Fails: 'PosixPath' object has no attribute 'rfind' | {
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```
~/bert_transfer$ python3 test_tokenizer.py
Traceback (most recent call last):
File "test_tokenizer.py",... | {
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"Oh you are right, the file caching utilities requires python 3.6.\r\n\r\nI don't intend to maintain a lot of backward compatibility in terms of Python versions (I already surrendered maintaining a Python 2 version) so I will bump up the requirements to python 3.6.\r\n\r\nIf you are limited to python 3.5 and find a... |
https://api.github.com/repos/huggingface/transformers/issues/117 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/117/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/117/comments | https://api.github.com/repos/huggingface/transformers/issues/117/events | https://github.com/huggingface/transformers/issues/117 | 390,793,183 | MDU6SXNzdWUzOTA3OTMxODM= | 117 | logging.basicConfig overrides user logging | {
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check out this SO thread
https://stackoverflow.com/questions/27016870/how-should-logging-be-used-in-a-python-package | {
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"You're right. It's removed."
] |
https://api.github.com/repos/huggingface/transformers/issues/85 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/85/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/85/comments | https://api.github.com/repos/huggingface/transformers/issues/85/events | https://github.com/huggingface/transformers/issues/85 | 387,100,844 | MDU6SXNzdWUzODcxMDA4NDQ= | 85 | How to use pre-trained SQUAD model? | {
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```
-rw-rw-r-- 1 khashab2 cs_danr 4.7M Nov 21 19:20 dev-v1.1.json
-rw-rw-r-- 1 khashab2 cs_danr 3.4K Nov 29 22:52 evaluate-v1.1.py
drwxrwsr-x 2 khashab2 cs_danr 10 Nov 30 14:57 out2
-rw-rw-r-- 1 khashab2 cs_danr 29M Nov 21 19:20 train-v1.1.json... | {
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"Hi there are now examples on how you can save and reload the models in the examples (`run_classifier`, `run_squad` and `run_swag`)"
] |
https://api.github.com/repos/huggingface/transformers/issues/98 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/98/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/98/comments | https://api.github.com/repos/huggingface/transformers/issues/98/events | https://github.com/huggingface/transformers/issues/98 | 388,660,132 | MDU6SXNzdWUzODg2NjAxMzI= | 98 | Problem about convert TF model and pretraining | {
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Traceback (most recent call last):
File "convert_tf_checkpoint_to_pytorch.py", line 105, in <mo... | {
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"Hi @zhezhaoa, I see, I will fix this in the next release.\r\n\r\nFor now you should be able to fix that by installing the repo from source (git clone the repo and `pip install -e .` and changing [line 53 of convert_tf_checkpoint_to_pytorch.py](https://github.com/huggingface/pytorch-pretrained-BERT/blob/master/pyto... |
https://api.github.com/repos/huggingface/transformers/issues/115 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/115/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/115/comments | https://api.github.com/repos/huggingface/transformers/issues/115/events | https://github.com/huggingface/transformers/issues/115 | 389,950,888 | MDU6SXNzdWUzODk5NTA4ODg= | 115 | How to run a saved model? | {
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"It looks like @thomwolf is planning to illustrate this in the examples soon.\r\nYou find some useful code to do what you want to do in https://github.com/huggingface/pytorch-pretrained-BERT/pull/112/",
"Hi this is now included in the new release 0.4.0 and there are examples on how you can save and reload the mod... |
https://api.github.com/repos/huggingface/transformers/issues/119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/119/comments | https://api.github.com/repos/huggingface/transformers/issues/119/events | https://github.com/huggingface/transformers/pull/119 | 391,231,432 | MDExOlB1bGxSZXF1ZXN0MjM4ODE1NDQx | 119 | Minor README fix | {
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"merged_at": "2018... | I think `optimize_on_cpu` option was dropped in #112 | {
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"Indeed!"
] |
https://api.github.com/repos/huggingface/transformers/issues/120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/120/comments | https://api.github.com/repos/huggingface/transformers/issues/120/events | https://github.com/huggingface/transformers/issues/120 | 391,402,013 | MDU6SXNzdWUzOTE0MDIwMTM= | 120 | RuntimeError: Expected object of type torch.LongTensor but found type torch.cuda.LongTensor for argument #3 'index' | {
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https://github.com/danyaljj/pytorch-pretrained-BERT/blob/92e22d710287db1b4aa4fda951714887878fa728/examples/daniel_run.py#L582-L616
Wondering if you have encountered the following error:
```
(env3.6) khashab2@gissing:/shared/shelley/khashab2/... | {
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"The issue was, not properly loading the model file and moving it to GPU. "
] |
https://api.github.com/repos/huggingface/transformers/issues/121 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/121/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/121/comments | https://api.github.com/repos/huggingface/transformers/issues/121/events | https://github.com/huggingface/transformers/issues/121 | 391,458,997 | MDU6SXNzdWUzOTE0NTg5OTc= | 121 | High accuracy for CoLA task | {
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Running the following command
```
python run_classifier.py \
--task_name cola \
--do_train \
--do_eval \
--do_lower_case \
--data_dir $GLUE_DIR/CoLA/ \
--bert_model bert-base-uncased \
--max_seq_length 128 \
-... | {
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"The metric used for evaluation of CoLA in the GLUE benchmark is not accuracy but the https://en.wikipedia.org/wiki/Matthews_correlation_coefficient (see https://gluebenchmark.com/tasks).\r\nIndeed authors report in https://arxiv.org/abs/1810.04805 0.521 for Matthews correlation with BERT-base.",
"Makes sense, lo... |
https://api.github.com/repos/huggingface/transformers/issues/123 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/123/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/123/comments | https://api.github.com/repos/huggingface/transformers/issues/123/events | https://github.com/huggingface/transformers/issues/123 | 391,979,075 | MDU6SXNzdWUzOTE5NzkwNzU= | 123 | big memory occupied | {
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"You should lower the batch size probably"
] |
https://api.github.com/repos/huggingface/transformers/issues/112 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/112/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/112/comments | https://api.github.com/repos/huggingface/transformers/issues/112/events | https://github.com/huggingface/transformers/pull/112 | 389,707,309 | MDExOlB1bGxSZXF1ZXN0MjM3NjM1MDky | 112 | Fourth release | {
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"merged_at": "2018... | New:
- 3-4 times speed-up in fp16 thanks to NVIDIA's work on apex
- SWAG (multiple-choice) model added + example fine-tuning on SWAG
- bump up to PyTorch 1.0
- backward compatibility to python 3.5
- load fine-tuned model with `from_pretrained`
- add examples on how to save and load fine-tuned models | {
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https://api.github.com/repos/huggingface/transformers/issues/127 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/127/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/127/comments | https://api.github.com/repos/huggingface/transformers/issues/127/events | https://github.com/huggingface/transformers/pull/127 | 392,191,069 | MDExOlB1bGxSZXF1ZXN0MjM5NTE2NTc4 | 127 | raises value error for bert tokenizer for long sequences | {
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"merged_at": "2018... | addesses #125
(all pre-trained bert models have a positional embedding matrix with 512 embeddings. Sequences longer than 512 tokens will cause indexing errors when you attempt to run a bert forward pass on them)
added a max_len arg to bert tokenizer. the function convert_tokens_to_indices will raise a value erro... | {
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"Thanks @patrick-s-h-lewis, this is nice.\r\n\r\nThe max number of positional embeddings is also available in the pretrained models configuration files (as `max_position_embeddings`) but accessing this requires some change in the models stored on S3 (not storing them as tar.gz files) so I will take care of it in th... |
https://api.github.com/repos/huggingface/transformers/issues/129 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/129/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/129/comments | https://api.github.com/repos/huggingface/transformers/issues/129/events | https://github.com/huggingface/transformers/issues/129 | 392,409,375 | MDU6SXNzdWUzOTI0MDkzNzU= | 129 | BERT + CNN classifier doesn't work after migrating from 0.1.2 to 0.4.0 | {
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in `__init__` I have
```python3
self.bert = BertModel(config)
self.cnn_classifier = CNNClassifier(self.config.hidden_size, intent_cls_num)
```
and in forward it's just
```python3
encoded_layers, _ = self.bert(input_ids, token_type_ids, attention_mask, o... | {
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"I don't know...\r\nIf you can open-source a self contained example with data and code I can try to give it a deeper look.\r\nAre you using `apex`? That's the main change in 0.4.0.",
"Hi Thomas! I've found the problem. I think It's because you modified your `from_pretrained` function and I'm still using a part of... |
https://api.github.com/repos/huggingface/transformers/issues/10 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10/comments | https://api.github.com/repos/huggingface/transformers/issues/10/events | https://github.com/huggingface/transformers/issues/10 | 378,996,831 | MDU6SXNzdWUzNzg5OTY4MzE= | 10 | Is there a plan to have a FP16 for GPU so to have larger batch size or longer text documents support ? | {
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"Yes probably. I am testing fp16 right now. If it works well I will push it to the repo.",
"Ok I've added FP16 support (see updated readme)",
"Thanks for this quick updates.",
"I'm not able to work with FP16 for pytorch BERT code. Particularly for BertForSequenceClassification, which I tried and got the issue... |
https://api.github.com/repos/huggingface/transformers/issues/136 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/136/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/136/comments | https://api.github.com/repos/huggingface/transformers/issues/136/events | https://github.com/huggingface/transformers/issues/136 | 393,058,463 | MDU6SXNzdWUzOTMwNTg0NjM= | 136 | It's possible to avoid download the pretrained model? | {
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"I just find the way.",
"@rxy1212 could you explain the method used ",
"@makkunda \r\nIn `modeling.py`, you can find this codes\r\n```\r\nPRETRAINED_MODEL_ARCHIVE_MAP = {\r\n 'bert-base-uncased': \"https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased.tar.gz\",\r\n 'bert-large-uncased': \... |
https://api.github.com/repos/huggingface/transformers/issues/130 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/130/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/130/comments | https://api.github.com/repos/huggingface/transformers/issues/130/events | https://github.com/huggingface/transformers/pull/130 | 392,429,830 | MDExOlB1bGxSZXF1ZXN0MjM5NzAzOTA0 | 130 | Use entry-points instead of scripts | {
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"merged_at": "2018... | The recommended approach to create launch scripts is to use entry_points
and console_scripts.
xref:
https://packaging.python.org/guides/distributing-packages-using-setuptools/#scripts | {
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"Looks great indeed, thanks for that!"
] |
https://api.github.com/repos/huggingface/transformers/issues/128 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/128/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/128/comments | https://api.github.com/repos/huggingface/transformers/issues/128/events | https://github.com/huggingface/transformers/pull/128 | 392,406,933 | MDExOlB1bGxSZXF1ZXN0MjM5Njg3MTMy | 128 | Add license to source distribution | {
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"merged_at": "2018... | The `LICENSE` file in the git repository contains the Apache license text
but it not included the source `.tar.gz` distribution.
This PR adds a `MANIFEST.in` file with a directive to include the LICENSE. | {
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"Thanks!"
] |
https://api.github.com/repos/huggingface/transformers/issues/147 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/147/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/147/comments | https://api.github.com/repos/huggingface/transformers/issues/147/events | https://github.com/huggingface/transformers/issues/147 | 394,064,499 | MDU6SXNzdWUzOTQwNjQ0OTk= | 147 | Does the final hidden state contains the <CLS> for Squad2.0 | {
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"I'm sorry that I have found a bug in my code. I have invalidly called a attribute of the `InputFeature` but it have run successfully. Now I have fixed it and re-run it. If I have more questions I will reopen this. Sorry to bother you!"
] |
https://api.github.com/repos/huggingface/transformers/issues/148 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/148/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/148/comments | https://api.github.com/repos/huggingface/transformers/issues/148/events | https://github.com/huggingface/transformers/issues/148 | 394,310,682 | MDU6SXNzdWUzOTQzMTA2ODI= | 148 | Embeddings from BERT for original tokens | {
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"Hi, you should read the discussion in #64. I left this issue open for reference on these questions.\r\nDon't hesitate to participate there."
] |
https://api.github.com/repos/huggingface/transformers/issues/146 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/146/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/146/comments | https://api.github.com/repos/huggingface/transformers/issues/146/events | https://github.com/huggingface/transformers/issues/146 | 393,876,320 | MDU6SXNzdWUzOTM4NzYzMjA= | 146 | BertForQuestionAnswering: Predicting span on the question? | {
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I have a question regarding the `BertForQuestionAnswering` implementation. If I am not mistaken, for this model the sequence should be of the form `Question tokens [SEP] Passage tokens`. Therefore, the embedded representation computed by `BertModel` returns the states of both the question and the passage (a t... | {
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"This is the original behavior from the TF implementation.\r\nThe predictions are filtered afterward (in `write_predictions`) so this is probably not a big issue.\r\nMaybe try with another behavior and see if it improve upon the results?"
] |
https://api.github.com/repos/huggingface/transformers/issues/139 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/139/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/139/comments | https://api.github.com/repos/huggingface/transformers/issues/139/events | https://github.com/huggingface/transformers/issues/139 | 393,167,784 | MDU6SXNzdWUzOTMxNjc3ODQ= | 139 | Not able to use FP16 in pytorch-pretrained-BERT | {
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**Runtime error: Expected scalar type object Half but got scalar type Float for argument #2 target**
when I enabled fp16.
Also when using
`logits = logits.half()
labels = labels.ha... | {
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https://api.github.com/repos/huggingface/transformers/issues/132 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/132/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/132/comments | https://api.github.com/repos/huggingface/transformers/issues/132/events | https://github.com/huggingface/transformers/issues/132 | 392,898,311 | MDU6SXNzdWUzOTI4OTgzMTE= | 132 | NONE | {
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