url stringlengths 62 66 | repository_url stringclasses 1
value | labels_url stringlengths 76 80 | comments_url stringlengths 71 75 | events_url stringlengths 69 73 | html_url stringlengths 50 56 | id int64 377M 2.15B | node_id stringlengths 18 32 | number int64 1 29.2k | title stringlengths 1 487 | user dict | labels list | state stringclasses 2
values | locked bool 2
classes | assignee dict | assignees list | comments list | created_at int64 1.54k 1.71k | updated_at int64 1.54k 1.71k | closed_at int64 1.54k 1.71k ⌀ | author_association stringclasses 4
values | active_lock_reason stringclasses 2
values | body stringlengths 0 234k ⌀ | reactions dict | timeline_url stringlengths 71 75 | state_reason stringclasses 3
values | draft bool 2
classes | pull_request dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/transformers/issues/10535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10535/comments | https://api.github.com/repos/huggingface/transformers/issues/10535/events | https://github.com/huggingface/transformers/issues/10535 | 822,826,159 | MDU6SXNzdWU4MjI4MjYxNTk= | 10,535 | tensorflow model convert onnx | {
"login": "Zjq9409",
"id": 62974595,
"node_id": "MDQ6VXNlcjYyOTc0NTk1",
"avatar_url": "https://avatars.githubusercontent.com/u/62974595?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Zjq9409",
"html_url": "https://github.com/Zjq9409",
"followers_url": "https://api.github.com/users/Zjq940... | [] | closed | false | null | [] | [
"and when I upgrade transformers version to 4.3.3, onnx version is 1.8.1,another error occurred:\r\nTraceback (most recent call last):\r\n File \"test_segment.py\", line 104, in <module>\r\n session = onnxruntime.InferenceSession(output_model_path, sess_options, providers=['CPUExecutionProvider'])\r\n File \"/... | 1,614 | 1,619 | 1,619 | NONE | null | I use this code to transfer TFBertModel to onnx:
”convert(framework="tf", model=model, tokenizer=tokenizer, output=Path("onnx_tf/segment.onnx"), opset=12)”
and the output log as follows:
`Using framework TensorFlow: 2.2.0, keras2onnx: 1.7.0
Found input input_ids with shape: {0: 'batch', 1: 'sequence'}
Found input ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10535/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10535/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10534 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10534/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10534/comments | https://api.github.com/repos/huggingface/transformers/issues/10534/events | https://github.com/huggingface/transformers/pull/10534 | 822,739,024 | MDExOlB1bGxSZXF1ZXN0NTg1MzE0MjM3 | 10,534 | VisualBERT | {
"login": "gchhablani",
"id": 29076344,
"node_id": "MDQ6VXNlcjI5MDc2MzQ0",
"avatar_url": "https://avatars.githubusercontent.com/u/29076344?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gchhablani",
"html_url": "https://github.com/gchhablani",
"followers_url": "https://api.github.com/use... | [
{
"id": 2796628563,
"node_id": "MDU6TGFiZWwyNzk2NjI4NTYz",
"url": "https://api.github.com/repos/huggingface/transformers/labels/WIP",
"name": "WIP",
"color": "234C99",
"default": false,
"description": "Label your PR/Issue with WIP for some long outstanding Issues/PRs that are work in pro... | closed | false | null | [] | [
"Hi @gchhablani \r\n\r\nThis is great! You can ping me if you need any help with this model.\r\n\r\n\r\nAlso, we have now added a step-by-step doc for how to add a model, you can find it here \r\nhttps://huggingface.co/transformers/add_new_model.html\r\n\r\nAlso have a look at the `cookiecutter` tool, which will he... | 1,614 | 1,622 | 1,622 | CONTRIBUTOR | null | This PR adds VisualBERT (See Closed Issue #5095). | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10534/reactions",
"total_count": 4,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 4,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10534/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10534",
"html_url": "https://github.com/huggingface/transformers/pull/10534",
"diff_url": "https://github.com/huggingface/transformers/pull/10534.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10534.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10533/comments | https://api.github.com/repos/huggingface/transformers/issues/10533/events | https://github.com/huggingface/transformers/issues/10533 | 822,734,299 | MDU6SXNzdWU4MjI3MzQyOTk= | 10,533 | RAG with RAY workers keep repetitive copies of knowledge base as .nfs files until the process is done. | {
"login": "shamanez",
"id": 16892570,
"node_id": "MDQ6VXNlcjE2ODkyNTcw",
"avatar_url": "https://avatars.githubusercontent.com/u/16892570?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/shamanez",
"html_url": "https://github.com/shamanez",
"followers_url": "https://api.github.com/users/sha... | [] | closed | false | null | [] | [
"I don't know what those .nfs are used for in Ray, is it safe to remove them @amogkam ?"
] | 1,614 | 1,617 | 1,617 | CONTRIBUTOR | null |
As mentioned in [this PR](https://github.com/huggingface/transformers/pull/10410), I update the **my_knowledge_dataset** object all the time. I save the new my_knowledge_dataset in the same place by removing previously saved stuff. But still, I see there are always some hidden files left. Please check the screensho... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10533/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10533/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10532 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10532/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10532/comments | https://api.github.com/repos/huggingface/transformers/issues/10532/events | https://github.com/huggingface/transformers/issues/10532 | 822,728,018 | MDU6SXNzdWU4MjI3MjgwMTg= | 10,532 | Calling Inference API returns input text | {
"login": "gstranger",
"id": 36181416,
"node_id": "MDQ6VXNlcjM2MTgxNDE2",
"avatar_url": "https://avatars.githubusercontent.com/u/36181416?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gstranger",
"html_url": "https://github.com/gstranger",
"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | [
"Could you try to add `\"max_length\": 200` to your payload ? (also cc @Narsil )",
"Hi @gstranger ,\r\n\r\nCan you reproduce the problem locally ? It could be that your model simply produces EOS token with high probability (leading to having the exact same prompt as output)\r\n\r\nIf not, do you mind telling us y... | 1,614 | 1,619 | 1,619 | NONE | null | - `transformers` version: 4.4.0dev0
- Platform: MACosx
- Python version: 3.7
- PyTorch version (GPU?): N/A
- Tensorflow version (GPU?): N/A
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help
Library:
@patrickvonplaten
@LysandreJik
@sgugger
## Informat... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10532/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10532/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10531 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10531/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10531/comments | https://api.github.com/repos/huggingface/transformers/issues/10531/events | https://github.com/huggingface/transformers/pull/10531 | 822,720,356 | MDExOlB1bGxSZXF1ZXN0NTg1Mjk4NTYy | 10,531 | Typo correction. | {
"login": "cliang1453",
"id": 14855272,
"node_id": "MDQ6VXNlcjE0ODU1Mjcy",
"avatar_url": "https://avatars.githubusercontent.com/u/14855272?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/cliang1453",
"html_url": "https://github.com/cliang1453",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | # What does this PR do?
Fix a typo: DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST => DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST in line 31.
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure i... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10531/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10531/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10531",
"html_url": "https://github.com/huggingface/transformers/pull/10531",
"diff_url": "https://github.com/huggingface/transformers/pull/10531.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10531.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10530/comments | https://api.github.com/repos/huggingface/transformers/issues/10530/events | https://github.com/huggingface/transformers/issues/10530 | 822,713,227 | MDU6SXNzdWU4MjI3MTMyMjc= | 10,530 | Test/Predict on summarization task | {
"login": "zyxnlp",
"id": 31751455,
"node_id": "MDQ6VXNlcjMxNzUxNDU1",
"avatar_url": "https://avatars.githubusercontent.com/u/31751455?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/zyxnlp",
"html_url": "https://github.com/zyxnlp",
"followers_url": "https://api.github.com/users/zyxnlp/fo... | [] | closed | false | null | [] | [
"Hi,\r\n\r\ncould you please ask questions related to training of models on the [forum](https://discuss.huggingface.co/)?\r\n\r\nAll questions related to fine-tuning a model for summarization on CNN can be found [here](https://discuss.huggingface.co/search?q=summarization%20cnn) for example. \r\n\r\n",
"> Hi,\r\n... | 1,614 | 1,619 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.4.0.dev0
- Platform: Linux-5.3.0-53-generic-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyTorch versio... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10530/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10530/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10529 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10529/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10529/comments | https://api.github.com/repos/huggingface/transformers/issues/10529/events | https://github.com/huggingface/transformers/issues/10529 | 822,685,396 | MDU6SXNzdWU4MjI2ODUzOTY= | 10,529 | Typo in deberta_v2/__init__.py | {
"login": "cliang1453",
"id": 14855272,
"node_id": "MDQ6VXNlcjE0ODU1Mjcy",
"avatar_url": "https://avatars.githubusercontent.com/u/14855272?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/cliang1453",
"html_url": "https://github.com/cliang1453",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | [
"That's correct! Do you want to open a PR to fix it?"
] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/c503a1c15ec1b11e69a3eaaf06edfa87c05a2849/src/transformers/models/deberta_v2/__init__.py#L31
Should be '' DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST ''. | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10529/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10529/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10528/comments | https://api.github.com/repos/huggingface/transformers/issues/10528/events | https://github.com/huggingface/transformers/issues/10528 | 822,678,374 | MDU6SXNzdWU4MjI2NzgzNzQ= | 10,528 | Different vocab_size between model and tokenizer of mT5 | {
"login": "cih9088",
"id": 11530592,
"node_id": "MDQ6VXNlcjExNTMwNTky",
"avatar_url": "https://avatars.githubusercontent.com/u/11530592?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/cih9088",
"html_url": "https://github.com/cih9088",
"followers_url": "https://api.github.com/users/cih908... | [] | closed | false | null | [] | [
"Hello! This is a duplicate of https://github.com/huggingface/transformers/issues/4875, https://github.com/huggingface/transformers/issues/10144 and https://github.com/huggingface/transformers/issues/9247\r\n\r\n@patrickvonplaten, maybe we could do something about this in the docs? In the docs we recommend doing th... | 1,614 | 1,628 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.1.1
- Platform: ubuntu 18.04
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1
### Who can help
@p... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10528/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10528/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10527/comments | https://api.github.com/repos/huggingface/transformers/issues/10527/events | https://github.com/huggingface/transformers/pull/10527 | 822,658,264 | MDExOlB1bGxSZXF1ZXN0NTg1MjQ3NjE0 | 10,527 | Refactoring checkpoint names for multiple models | {
"login": "danielpatrickhug",
"id": 38571110,
"node_id": "MDQ6VXNlcjM4NTcxMTEw",
"avatar_url": "https://avatars.githubusercontent.com/u/38571110?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/danielpatrickhug",
"html_url": "https://github.com/danielpatrickhug",
"followers_url": "https://... | [] | closed | false | null | [] | [
"...The test pasts on my local machine, I ran make test, style, quality, fixup. I dont know why this failed..",
"I just rebased the PR to ensure that the tests pass. We'll merge if all is green!",
"Thanks guys"
] | 1,614 | 1,615 | 1,614 | CONTRIBUTOR | null | Hi, @sgugger reupload without datasets dir and added tf_modeling files, removed extra decorator in distilbert.
Linked to #10193, this PR refactors the checkpoint names in one private constant.
one note: longformer_tf has two checkpoints "allenai/longformer-base-4096" & "allenai/longformer-large-4096-finetuned-triv... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10527/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10527/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10527",
"html_url": "https://github.com/huggingface/transformers/pull/10527",
"diff_url": "https://github.com/huggingface/transformers/pull/10527.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10527.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10526/comments | https://api.github.com/repos/huggingface/transformers/issues/10526/events | https://github.com/huggingface/transformers/pull/10526 | 822,581,103 | MDExOlB1bGxSZXF1ZXN0NTg1MTgzMjYy | 10,526 | Fix Adafactor documentation (recommend correct settings) | {
"login": "jsrozner",
"id": 1113285,
"node_id": "MDQ6VXNlcjExMTMyODU=",
"avatar_url": "https://avatars.githubusercontent.com/u/1113285?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jsrozner",
"html_url": "https://github.com/jsrozner",
"followers_url": "https://api.github.com/users/jsroz... | [] | closed | false | {
"login": "stas00",
"id": 10676103,
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stas00",
"html_url": "https://github.com/stas00",
"followers_url": "https://api.github.com/users/stas00/fo... | [
{
"login": "stas00",
"id": 10676103,
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stas00",
"html_url": "https://github.com/stas00",
"followers_url": "https://api.github... | [
"Is this part correct?\r\n\r\n> Recommended T5 finetuning settings:\r\n> - Scheduled LR warm-up to fixed LR\r\n> - disable relative updates\r\n> - use clip threshold: https://arxiv.org/abs/2004.14546\r\n\r\nIn particular:\r\n- are we supposed to do scheduled LR? adafactor handles this no... | 1,614 | 1,617 | 1,617 | CONTRIBUTOR | null | This PR fixes documentation to reflect optimal settings for Adafactor:
- fix an impossible arg combination erroneously proposed in the example
- use the correct link to the adafactor paper where `clip_treshold` is discussed
- document the recommended `scale_parameter=False`
- add other recommended settings combinat... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10526/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10526/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10526",
"html_url": "https://github.com/huggingface/transformers/pull/10526",
"diff_url": "https://github.com/huggingface/transformers/pull/10526.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10526.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10525/comments | https://api.github.com/repos/huggingface/transformers/issues/10525/events | https://github.com/huggingface/transformers/issues/10525 | 822,490,543 | MDU6SXNzdWU4MjI0OTA1NDM= | 10,525 | fine-tune Pegasus with xsum using Colab but generation results have no difference | {
"login": "harrywang",
"id": 595772,
"node_id": "MDQ6VXNlcjU5NTc3Mg==",
"avatar_url": "https://avatars.githubusercontent.com/u/595772?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/harrywang",
"html_url": "https://github.com/harrywang",
"followers_url": "https://api.github.com/users/harr... | [] | closed | false | null | [] | [
"Hi,\r\n\r\ncould you please ask this question on the [forum](https://discuss.huggingface.co/)? We're happy to help you there!\r\n\r\nQuestions regarding training of models are a perfect use case for the forum :) for example, [here](https://discuss.huggingface.co/search?q=pegasus) you can find all questions related... | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | Hi. I tried to fine-tune pegasus large with xsum dataset using Colab (Pro). I was able to finish the fine-tuning with batch size 1, and 2000 epochs in about 40 minutes (larger batch size crashed colab). The working Colab notebook I used is shared at https://colab.research.google.com/drive/1RyUsYDAo6bA1RZICMb-FxYLszBcDY... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10525/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10525/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10524/comments | https://api.github.com/repos/huggingface/transformers/issues/10524/events | https://github.com/huggingface/transformers/pull/10524 | 822,424,501 | MDExOlB1bGxSZXF1ZXN0NTg1MDUxNzcw | 10,524 | Change/remove default maximum length in run_glue.py | {
"login": "aditya-malte",
"id": 20294625,
"node_id": "MDQ6VXNlcjIwMjk0NjI1",
"avatar_url": "https://avatars.githubusercontent.com/u/20294625?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/aditya-malte",
"html_url": "https://github.com/aditya-malte",
"followers_url": "https://api.github.c... | [] | closed | false | null | [] | [
"@sgugger Can you review this extremely simple PR",
"Hi there. The default is actually the same as the legacy script and I don't see any reason to change it. It provides the results given in the README which are consistent with the paper.\r\n\r\nAlso a default of 512 won't work with models that have a smaller max... | 1,614 | 1,618 | 1,618 | NONE | null | I propose one of the following:
1) A vast majority of models have maximum sequence length as 512. 128 as a maximum length is very misleading because of this reason and hence I suggest we revise it to 512.
2) Totally remove this variable and set maximum length only based on model’s maximum length. The tokenizers libr... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10524/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10524/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10524",
"html_url": "https://github.com/huggingface/transformers/pull/10524",
"diff_url": "https://github.com/huggingface/transformers/pull/10524.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10524.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10523 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10523/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10523/comments | https://api.github.com/repos/huggingface/transformers/issues/10523/events | https://github.com/huggingface/transformers/issues/10523 | 822,408,968 | MDU6SXNzdWU4MjI0MDg5Njg= | 10,523 | BERT as encoder - position ids | {
"login": "md975",
"id": 25549182,
"node_id": "MDQ6VXNlcjI1NTQ5MTgy",
"avatar_url": "https://avatars.githubusercontent.com/u/25549182?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/md975",
"html_url": "https://github.com/md975",
"followers_url": "https://api.github.com/users/md975/follow... | [] | closed | false | null | [] | [
"Hello! In the documentation you pointed to, you'll see that there is the `kwargs` argument, which accepts any keyword argument. The doc says:\r\n\r\n```\r\n(optional) Remaining dictionary of keyword arguments. Keyword arguments come in two flavors:\r\n\r\nWithout a prefix which will be input as **encoder_kwargs fo... | 1,614 | 1,614 | 1,614 | NONE | null | Hello,
I have an EncoderDecoderModel.from_encoder_decoder_pretrained which is using BERT as both the decoder and encoder.
I would like to adjust position_ids for the encoder input, however, looking at [this documentation](https://huggingface.co/transformers/model_doc/encoderdecoder.html#transformers.EncoderDecoderM... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10523/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10523/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10522 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10522/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10522/comments | https://api.github.com/repos/huggingface/transformers/issues/10522/events | https://github.com/huggingface/transformers/issues/10522 | 822,389,034 | MDU6SXNzdWU4MjIzODkwMzQ= | 10,522 | Inconsistent API output for Q&A models between eager mode and torchscripted | {
"login": "HamidShojanazeri",
"id": 9162336,
"node_id": "MDQ6VXNlcjkxNjIzMzY=",
"avatar_url": "https://avatars.githubusercontent.com/u/9162336?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/HamidShojanazeri",
"html_url": "https://github.com/HamidShojanazeri",
"followers_url": "https://ap... | [] | closed | false | null | [] | [
"`torchscript` does not support anything else than tuple outputs, so you can't rely on the attributes when using it and transformers automatically sets `return_dict=False` in this case.\r\n\r\nYou need to access to the output fields with indices.",
"@sgugger Thanks for the explanations.",
"This issue has been a... | 1,614 | 1,619 | 1,619 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.3.3
- Platform: Linux-5.4.0-1037-aws-x86_64-with-glibc2.10
- Python version:3.8.6
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?):
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
## Information
@sgugger I... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10522/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10522/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10521/comments | https://api.github.com/repos/huggingface/transformers/issues/10521/events | https://github.com/huggingface/transformers/pull/10521 | 822,248,710 | MDExOlB1bGxSZXF1ZXN0NTg0OTA0NTQy | 10,521 | Removes overwrites for output_dir | {
"login": "philschmid",
"id": 32632186,
"node_id": "MDQ6VXNlcjMyNjMyMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/32632186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/philschmid",
"html_url": "https://github.com/philschmid",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | MEMBER | null | # What does this PR do?
This PR removes the overwrites of the `output_dir` when running training on `SageMaker` and it removes the automatic save if `output_dir` is `None`.
The overwrites have been removed since it prevents saving checkpoints to a different dir like `opt/ml/checkpoints` impossible and it is not th... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10521/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10521/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10521",
"html_url": "https://github.com/huggingface/transformers/pull/10521",
"diff_url": "https://github.com/huggingface/transformers/pull/10521.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10521.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10520/comments | https://api.github.com/repos/huggingface/transformers/issues/10520/events | https://github.com/huggingface/transformers/issues/10520 | 822,244,488 | MDU6SXNzdWU4MjIyNDQ0ODg= | 10,520 | Unable to translate Arabic to many other languages in MBart-50 | {
"login": "lecidhugo",
"id": 52243817,
"node_id": "MDQ6VXNlcjUyMjQzODE3",
"avatar_url": "https://avatars.githubusercontent.com/u/52243817?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lecidhugo",
"html_url": "https://github.com/lecidhugo",
"followers_url": "https://api.github.com/users/... | [] | closed | false | {
"login": "patil-suraj",
"id": 27137566,
"node_id": "MDQ6VXNlcjI3MTM3NTY2",
"avatar_url": "https://avatars.githubusercontent.com/u/27137566?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patil-suraj",
"html_url": "https://github.com/patil-suraj",
"followers_url": "https://api.github.com/... | [
{
"login": "patil-suraj",
"id": 27137566,
"node_id": "MDQ6VXNlcjI3MTM3NTY2",
"avatar_url": "https://avatars.githubusercontent.com/u/27137566?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patil-suraj",
"html_url": "https://github.com/patil-suraj",
"followers_url": "htt... | [
"Hi @lecidhugo \r\n\r\nThank you for reporting this. Is this for one particular example or is it happening for all examples?",
"Hi @patil-suraj,\r\nThank you for your reply.\r\nIndeed, it is for all examples and for many languages",
"Thanks. I'll look into it next week.",
"This issue has been automatically ma... | 1,614 | 1,621 | 1,621 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.4.0.dev0
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch ve... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10520/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10520/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10519/comments | https://api.github.com/repos/huggingface/transformers/issues/10519/events | https://github.com/huggingface/transformers/issues/10519 | 822,237,938 | MDU6SXNzdWU4MjIyMzc5Mzg= | 10,519 | Adding option to truncation from beginning instead of end, for both longest_first and longest_second | {
"login": "jatinganhotra",
"id": 307606,
"node_id": "MDQ6VXNlcjMwNzYwNg==",
"avatar_url": "https://avatars.githubusercontent.com/u/307606?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jatinganhotra",
"html_url": "https://github.com/jatinganhotra",
"followers_url": "https://api.github.co... | [
{
"id": 2648621985,
"node_id": "MDU6TGFiZWwyNjQ4NjIxOTg1",
"url": "https://api.github.com/repos/huggingface/transformers/labels/Feature%20request",
"name": "Feature request",
"color": "FBCA04",
"default": false,
"description": "Request for a new feature"
}
] | open | false | null | [] | [
"Previous mention of this idea\r\nhttps://github.com/huggingface/transformers/issues/4476#issuecomment-677823688",
"Here's my workaround (from the previous issue): https://github.com/huggingface/transformers/issues/4476#issuecomment-951445067",
"May be of interest to @SaulLu @NielsRogge ",
"This is indeed a f... | 1,614 | 1,645 | null | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
The current [truncation strategies](https://huggingface.co/transformers/preprocessing.html#everything-you-always-wanted-to-know-about-padding-and-truncation)... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10519/reactions",
"total_count": 9,
"+1": 9,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10519/timeline | null | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10518/comments | https://api.github.com/repos/huggingface/transformers/issues/10518/events | https://github.com/huggingface/transformers/issues/10518 | 822,225,056 | MDU6SXNzdWU4MjIyMjUwNTY= | 10,518 | Converting models for tensoflowjs (node) | {
"login": "ierezell",
"id": 30974685,
"node_id": "MDQ6VXNlcjMwOTc0Njg1",
"avatar_url": "https://avatars.githubusercontent.com/u/30974685?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ierezell",
"html_url": "https://github.com/ierezell",
"followers_url": "https://api.github.com/users/ier... | [
{
"id": 1834083927,
"node_id": "MDU6TGFiZWwxODM0MDgzOTI3",
"url": "https://api.github.com/repos/huggingface/transformers/labels/External",
"name": "External",
"color": "fbca04",
"default": false,
"description": "Using the library with external tools (onnx, tflite, ...)"
}
] | closed | false | null | [] | [
"Hello!\r\n\r\nThanks for reporting this issue! Did you try to convert your H5 file to be able to use it with `tensorflowjs_converter --input_format keras path/to/my_model.h5 path/to/tfjs_target_dir`? You can also have a SavedModel version with:\r\n\r\n1. `model = TFAutoModel.from_pretrained(\"distilbert-base-uncas... | 1,614 | 1,615 | 1,615 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.3.3
- Platform: Linux-5.11.2-zen1-1-zen-x86_64-with-glibc2.2.5
- Python version: 3.8.8 (also 3.9.2 but tensorflowjs is not available in 3.9.2)
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): 2.4.1 (False)
- Using GPU in script?: No
- Using dist... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10518/reactions",
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 1
} | https://api.github.com/repos/huggingface/transformers/issues/10518/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10517 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10517/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10517/comments | https://api.github.com/repos/huggingface/transformers/issues/10517/events | https://github.com/huggingface/transformers/pull/10517 | 822,203,753 | MDExOlB1bGxSZXF1ZXN0NTg0ODY2NzM3 | 10,517 | Not always consider a local model a checkpoint in run_glue | {
"login": "sgugger",
"id": 35901082,
"node_id": "MDQ6VXNlcjM1OTAxMDgy",
"avatar_url": "https://avatars.githubusercontent.com/u/35901082?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sgugger",
"html_url": "https://github.com/sgugger",
"followers_url": "https://api.github.com/users/sgugge... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | COLLABORATOR | null | # What does this PR do?
In the `run_glue` script, a local model is automatically considered a checkpoint (which is there to enable users to do --model_path_or_name path_to_specific_checkpoint`) but when using a local model, it can crash if the number of labels is different (cf #10502). This PR fixes that by checking... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10517/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10517/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10517",
"html_url": "https://github.com/huggingface/transformers/pull/10517",
"diff_url": "https://github.com/huggingface/transformers/pull/10517.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10517.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10514/comments | https://api.github.com/repos/huggingface/transformers/issues/10514/events | https://github.com/huggingface/transformers/issues/10514 | 822,101,612 | MDU6SXNzdWU4MjIxMDE2MTI= | 10,514 | Bug in Hosted inference API | {
"login": "hhou435",
"id": 59219579,
"node_id": "MDQ6VXNlcjU5MjE5NTc5",
"avatar_url": "https://avatars.githubusercontent.com/u/59219579?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/hhou435",
"html_url": "https://github.com/hhou435",
"followers_url": "https://api.github.com/users/hhou43... | [] | closed | false | null | [] | [
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,614 | 1,619 | 1,619 | CONTRIBUTOR | null | Hello,I found that when I use the Hosted inference API, there will be some problems.
Some inference results show the entire sentence, but other inference results only show the mask token.
For example the model [uer/roberta-base-word-chinese-cluecorpussmall](https://huggingface.co/uer/roberta-base-word-chinese-cluecor... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10514/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10514/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10513/comments | https://api.github.com/repos/huggingface/transformers/issues/10513/events | https://github.com/huggingface/transformers/pull/10513 | 822,081,918 | MDExOlB1bGxSZXF1ZXN0NTg0NzY0MDkz | 10,513 | Add Vision Transformer + ViTFeatureExtractor | {
"login": "NielsRogge",
"id": 48327001,
"node_id": "MDQ6VXNlcjQ4MzI3MDAx",
"avatar_url": "https://avatars.githubusercontent.com/u/48327001?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/NielsRogge",
"html_url": "https://github.com/NielsRogge",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | [
"Hey @NielsRogge \r\n\r\n\r\n> Add and improve tests. Currently I have defined the following tests: test_modeling_vit.py, test_feature_extraction_vit.py. However, for the former, since ViT does not use input_ids/input_embeds, some tests are failing, so I wonder whether it should use all tests defined in test_modeli... | 1,614 | 1,617 | 1,617 | CONTRIBUTOR | null | # What does this PR do?
This PR includes 2 things:
* it adds the [Vision Transformer (ViT)](https://arxiv.org/abs/2010.11929) by Google Brain. ViT is a Transformer encoder trained on ImageNet. It is capable of classifying images, by placing a linear classification head on top of the final hidden state of the [CLS... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10513/reactions",
"total_count": 2,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 1,
"confused": 0,
"heart": 1,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10513/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10513",
"html_url": "https://github.com/huggingface/transformers/pull/10513",
"diff_url": "https://github.com/huggingface/transformers/pull/10513.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10513.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10512/comments | https://api.github.com/repos/huggingface/transformers/issues/10512/events | https://github.com/huggingface/transformers/issues/10512 | 821,998,125 | MDU6SXNzdWU4MjE5OTgxMjU= | 10,512 | Dynamic batch size for Seq2SeqTrainer | {
"login": "clang88",
"id": 71783092,
"node_id": "MDQ6VXNlcjcxNzgzMDky",
"avatar_url": "https://avatars.githubusercontent.com/u/71783092?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/clang88",
"html_url": "https://github.com/clang88",
"followers_url": "https://api.github.com/users/clang8... | [] | closed | false | null | [] | [
"Pinging @patil-suraj and @sgugger ",
"Hi @clang88 \r\n\r\nThe goal of the examples scripts is to keep them minimal and simple and I'm not sure if we want to support this immediately. \r\n\r\nFor now, you could use the `--group_by_length` argument which will group the long sequences together to avoid varying leng... | 1,614 | 1,650 | 1,619 | NONE | null | # 🚀 Feature request
In Fairseq it is possible to forego setting a constant batch-size in favor of a dynamic batch size with --max_tokens. This ensures that a batch always consists of at max N=max_tokens tokens. Fairseq tries to get to max_tokens by adding samples to the batch until N = max_tokens or just below.
... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10512/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10512/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10511/comments | https://api.github.com/repos/huggingface/transformers/issues/10511/events | https://github.com/huggingface/transformers/issues/10511 | 821,778,075 | MDU6SXNzdWU4MjE3NzgwNzU= | 10,511 | Why the positional embeddings in bert are not inplemented by sin/cos as the original paper said? Are these embeddings trainable? | {
"login": "SeaEagleI",
"id": 38852917,
"node_id": "MDQ6VXNlcjM4ODUyOTE3",
"avatar_url": "https://avatars.githubusercontent.com/u/38852917?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/SeaEagleI",
"html_url": "https://github.com/SeaEagleI",
"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | [
"BERT uses absolute position embeddings by default. The sin/cos embeddings are from the original Transformer paper IRRC. ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that is... | 1,614 | 1,619 | 1,619 | NONE | null | https://github.com/huggingface/transformers/blob/948b730f9777174335812cf76de2a9dd9e4cf20e/src/transformers/models/bert/modeling_bert.py#L172 | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10511/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10511/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10510/comments | https://api.github.com/repos/huggingface/transformers/issues/10510/events | https://github.com/huggingface/transformers/issues/10510 | 821,759,868 | MDU6SXNzdWU4MjE3NTk4Njg= | 10,510 | Error in run_squad.py with BartForQuestionAnswering model | {
"login": "nrjvarshney",
"id": 19836137,
"node_id": "MDQ6VXNlcjE5ODM2MTM3",
"avatar_url": "https://avatars.githubusercontent.com/u/19836137?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/nrjvarshney",
"html_url": "https://github.com/nrjvarshney",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [
"Hello! Could you provide all the information required in the issue template?\r\n\r\nThank you! ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow t... | 1,614 | 1,619 | 1,619 | NONE | null | I am using the BartForQuestionAnswering model and getting the following error during evaluation
`Evaluating: 0%| | 0/315 [00:10<?, ?it/s]
Traceback (most recent call last):
File "../run_squad.py", line 831, in <module>
main()
File "../run_squad.py", line 820, in main
result = evaluate(arg... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10510/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10510/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10509/comments | https://api.github.com/repos/huggingface/transformers/issues/10509/events | https://github.com/huggingface/transformers/pull/10509 | 821,678,601 | MDExOlB1bGxSZXF1ZXN0NTg0NDI2Nzk1 | 10,509 | Stale Bot | {
"login": "LysandreJik",
"id": 30755778,
"node_id": "MDQ6VXNlcjMwNzU1Nzc4",
"avatar_url": "https://avatars.githubusercontent.com/u/30755778?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/LysandreJik",
"html_url": "https://github.com/LysandreJik",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [
"The `GITHUB_TOKEN` got rate-limited, unfortunately. The PR should be good to go, I'll try to run it again tomorrow night."
] | 1,614 | 1,614 | 1,614 | MEMBER | null | Adds a stale bot based on GitHub Actions.
This bot is slightly different than the previous one in that it comments that it is closing the issue and closes it immediately, rather than waiting 7 days. From what I've seen up to now, this shouldn't be an issue at all.
I've commented out the code for now so that it do... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10509/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10509/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10509",
"html_url": "https://github.com/huggingface/transformers/pull/10509",
"diff_url": "https://github.com/huggingface/transformers/pull/10509.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10509.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10508/comments | https://api.github.com/repos/huggingface/transformers/issues/10508/events | https://github.com/huggingface/transformers/issues/10508 | 821,607,609 | MDU6SXNzdWU4MjE2MDc2MDk= | 10,508 | Loading tapas model into pipeline from directory gives different result | {
"login": "mchari",
"id": 30506151,
"node_id": "MDQ6VXNlcjMwNTA2MTUx",
"avatar_url": "https://avatars.githubusercontent.com/u/30506151?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mchari",
"html_url": "https://github.com/mchari",
"followers_url": "https://api.github.com/users/mchari/fo... | [] | closed | false | null | [] | [
"I noticed that the size of pytorch_model.bin that was downloaded into .cache is of size 442791751. When I save_pretrained() the model, the size is 442792154. \r\nIf I copy the first model into the model directory, I get valid results....",
"Hello! You're using `'google/tapas-base'` in order to initialize weights... | 1,614 | 1,614 | 1,614 | NONE | null | Hi,
I am using the following versions of these packages :
transformers = 4.3.2
pytorch = 1.6.0
I am using the following code to download and save a pretrained model:
```py
from transformers import TapasConfig,TapasTokenizer,TapasForQuestionAnswering
import torch
config = TapasConfig.from_pretrained('goo... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10508/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10508/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10507/comments | https://api.github.com/repos/huggingface/transformers/issues/10507/events | https://github.com/huggingface/transformers/issues/10507 | 821,440,855 | MDU6SXNzdWU4MjE0NDA4NTU= | 10,507 | 'Trainer' object has no attribute 'log_metrics' | {
"login": "fatihbeyhan",
"id": 48058209,
"node_id": "MDQ6VXNlcjQ4MDU4MjA5",
"avatar_url": "https://avatars.githubusercontent.com/u/48058209?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/fatihbeyhan",
"html_url": "https://github.com/fatihbeyhan",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [
"Hi, this is a duplicate, see #10446 ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface... | 1,614 | 1,619 | 1,619 | NONE | null | I was trying to use run_mlm.py to fine-tune roberta-large with a custom dataset on Google Colab.
!python /content/transformers/examples/language-modeling/run_mlm.py \
--model_name_or_path roberta-large \
--train_file /content/traincorpus.txt \
--validation_file /content/devcorpus.txt \
--do_train... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10507/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10507/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10506/comments | https://api.github.com/repos/huggingface/transformers/issues/10506/events | https://github.com/huggingface/transformers/pull/10506 | 821,437,320 | MDExOlB1bGxSZXF1ZXN0NTg0MjI3NDc3 | 10,506 | [WIP][BIGBIRD] Add new conversion | {
"login": "patrickvonplaten",
"id": 23423619,
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patrickvonplaten",
"html_url": "https://github.com/patrickvonplaten",
"followers_url": "https://... | [] | closed | false | null | [] | [] | 1,614 | 1,651 | 1,614 | MEMBER | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10506/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10506/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10506",
"html_url": "https://github.com/huggingface/transformers/pull/10506",
"diff_url": "https://github.com/huggingface/transformers/pull/10506.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10506.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10505/comments | https://api.github.com/repos/huggingface/transformers/issues/10505/events | https://github.com/huggingface/transformers/pull/10505 | 821,402,116 | MDExOlB1bGxSZXF1ZXN0NTg0MTk4Nzk4 | 10,505 | Remove unsupported methods from ModelOutput doc | {
"login": "sgugger",
"id": 35901082,
"node_id": "MDQ6VXNlcjM1OTAxMDgy",
"avatar_url": "https://avatars.githubusercontent.com/u/35901082?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sgugger",
"html_url": "https://github.com/sgugger",
"followers_url": "https://api.github.com/users/sgugge... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | COLLABORATOR | null | # What does this PR do?
As said in the title :-)
Fixes #10469 | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10505/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10505/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10505",
"html_url": "https://github.com/huggingface/transformers/pull/10505",
"diff_url": "https://github.com/huggingface/transformers/pull/10505.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10505.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10504/comments | https://api.github.com/repos/huggingface/transformers/issues/10504/events | https://github.com/huggingface/transformers/pull/10504 | 821,390,036 | MDExOlB1bGxSZXF1ZXN0NTg0MTg5MTI4 | 10,504 | Rework TPU checkpointing in Trainer | {
"login": "sgugger",
"id": 35901082,
"node_id": "MDQ6VXNlcjM1OTAxMDgy",
"avatar_url": "https://avatars.githubusercontent.com/u/35901082?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sgugger",
"html_url": "https://github.com/sgugger",
"followers_url": "https://api.github.com/users/sgugge... | [] | closed | false | null | [] | [
"Tested on TPUs and all worked well (training, checkpointing, reloading from checkpoint, evaluating a saved model), so I will merge this."
] | 1,614 | 1,614 | 1,614 | COLLABORATOR | null | # What does this PR do?
This PR rewors a tiny bit the checkpointing mechanism in the `Trainer` and `PreTrainedModel` to get rid of the hack that stored something in the config (which was then forever present if the user decided to share their model on the hub).
The main problem is that the save on TPU has to be c... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10504/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10504/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10504",
"html_url": "https://github.com/huggingface/transformers/pull/10504",
"diff_url": "https://github.com/huggingface/transformers/pull/10504.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10504.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10503 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10503/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10503/comments | https://api.github.com/repos/huggingface/transformers/issues/10503/events | https://github.com/huggingface/transformers/issues/10503 | 821,388,301 | MDU6SXNzdWU4MjEzODgzMDE= | 10,503 | Fine tuning a pipeline | {
"login": "thiziri",
"id": 17499919,
"node_id": "MDQ6VXNlcjE3NDk5OTE5",
"avatar_url": "https://avatars.githubusercontent.com/u/17499919?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/thiziri",
"html_url": "https://github.com/thiziri",
"followers_url": "https://api.github.com/users/thizir... | [] | closed | false | null | [] | [
"Hi! I'm sorry, I don't understand what you mean exactly. A pipeline uses a model and a tokenizer under the hood, do you mean you want to fine-tune the model used underneath, and use that fine-tuned model?\r\n\r\nIf that is so, it is simple: any model/tokenizer can be loaded in the pipeline via local path/hub ident... | 1,614 | 1,619 | 1,619 | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
[Already asked](https://github.com/huggingface/transformers/issues/8127)
## Motivation
<!-- Please outline the motivation for the proposal. Is your featu... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10503/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10503/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10502 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10502/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10502/comments | https://api.github.com/repos/huggingface/transformers/issues/10502/events | https://github.com/huggingface/transformers/issues/10502 | 821,329,792 | MDU6SXNzdWU4MjEzMjk3OTI= | 10,502 | GLUE benchmark crashes with MNLI and STSB | {
"login": "lucadiliello",
"id": 23355969,
"node_id": "MDQ6VXNlcjIzMzU1OTY5",
"avatar_url": "https://avatars.githubusercontent.com/u/23355969?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lucadiliello",
"html_url": "https://github.com/lucadiliello",
"followers_url": "https://api.github.c... | [] | closed | false | null | [] | [
"Hi! Actually I think you touched the base of the issue for MNLI, I would guess it has to do with the number of labels. When you do the following:\r\n```py\r\n>>> from transformers import RobertaForMaskedLM, RobertaConfig, RobertaTokenizer\r\n>>> tok = RobertaTokenizer.from_pretrained('roberta-base')\r\n>>> config ... | 1,614 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.4.0.dev0
- Platform: Linux-5.8.0-44-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: n... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10502/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10502/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10501/comments | https://api.github.com/repos/huggingface/transformers/issues/10501/events | https://github.com/huggingface/transformers/pull/10501 | 821,271,936 | MDExOlB1bGxSZXF1ZXN0NTg0MDkxMzkw | 10,501 | [ProphetNet] Bart-like Refactor | {
"login": "patrickvonplaten",
"id": 23423619,
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patrickvonplaten",
"html_url": "https://github.com/patrickvonplaten",
"followers_url": "https://... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | MEMBER | null | # What does this PR do?
This PR refactors ProphetNet similar to Bart in that it moves the time dimension to be always at the 2nd place and the batch dimensions always in the first place. Also, the cache is refactored to consists of tuples instead of a dict.
The model is thereby very much aligned with Bart (I can... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10501/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10501/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10501",
"html_url": "https://github.com/huggingface/transformers/pull/10501",
"diff_url": "https://github.com/huggingface/transformers/pull/10501.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10501.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10500/comments | https://api.github.com/repos/huggingface/transformers/issues/10500/events | https://github.com/huggingface/transformers/issues/10500 | 821,233,169 | MDU6SXNzdWU4MjEyMzMxNjk= | 10,500 | Fine tune of speaker embeddings model | {
"login": "karthikgali",
"id": 12197213,
"node_id": "MDQ6VXNlcjEyMTk3MjEz",
"avatar_url": "https://avatars.githubusercontent.com/u/12197213?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/karthikgali",
"html_url": "https://github.com/karthikgali",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [
"Hi! I think this is more of a question for `pyannote` rather than for `transformers`?",
"cc'ing @hbredin for visibility :)",
"Thanks @julien-c for the ping.\r\n\r\n@karthikgali please open an issue or discussion in [pyannote.audio Github repo](https://github.com/pyannote/pyannote-audio) instead.",
"This issu... | 1,614 | 1,619 | 1,619 | NONE | null | # 🚀 Feature request
Provide a way to fine tune the X-vector speaker embeddings model using our own custom dataset. (https://huggingface.co/hbredin/SpeakerEmbedding-XVectorMFCC-VoxCeleb)
## Motivation
This will help in finetuning the model for new domain/speakers.
| {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10500/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10500/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10499/comments | https://api.github.com/repos/huggingface/transformers/issues/10499/events | https://github.com/huggingface/transformers/issues/10499 | 821,231,779 | MDU6SXNzdWU4MjEyMzE3Nzk= | 10,499 | f"The model '{self.model.__class__.__name__}' is not supported for {self.task}. Supported models are {supported_models}", | {
"login": "loretoparisi",
"id": 163333,
"node_id": "MDQ6VXNlcjE2MzMzMw==",
"avatar_url": "https://avatars.githubusercontent.com/u/163333?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/loretoparisi",
"html_url": "https://github.com/loretoparisi",
"followers_url": "https://api.github.com/u... | [] | closed | false | null | [] | [
"Hi there, \r\n\r\nYou should use the `AutoModelForQuestionAnswering` class to load a QA model, the `AutoModel` class just loads the base model and doesn't load the task-specific head, which is the reason for this error.\r\n\r\nIn general, always use the task-specific auto classes to load task-specific architecture... | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | ## Context
I have used the official example for Q&A [here](https://huggingface.co/dbmdz/bert-base-italian-cased), but slightly modified the `Pipeline` to use the `model` and `tokenizer` objects from pretrained model as exaplained [here](https://huggingface.co/transformers/main_classes/pipelines.html#the-pipeline-abstr... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10499/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10499/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10498 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10498/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10498/comments | https://api.github.com/repos/huggingface/transformers/issues/10498/events | https://github.com/huggingface/transformers/issues/10498 | 820,987,812 | MDU6SXNzdWU4MjA5ODc4MTI= | 10,498 | DeBERTa Fast Tokenizer | {
"login": "brandenchan",
"id": 33759007,
"node_id": "MDQ6VXNlcjMzNzU5MDA3",
"avatar_url": "https://avatars.githubusercontent.com/u/33759007?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/brandenchan",
"html_url": "https://github.com/brandenchan",
"followers_url": "https://api.github.com/... | [
{
"id": 1990918270,
"node_id": "MDU6TGFiZWwxOTkwOTE4Mjcw",
"url": "https://api.github.com/repos/huggingface/transformers/labels/Good%20First%20Issue",
"name": "Good First Issue",
"color": "bbf794",
"default": false,
"description": ""
},
{
"id": 2392046359,
"node_id": "MDU6TGF... | closed | false | null | [] | [
"Hi @brandenchan ,\r\n\r\nI think it should be easier with version 2 of DeBERTa, because they use a \"normal\" sentence piece model now:\r\n\r\nhttps://github.com/huggingface/transformers/pull/10018\r\n\r\nSo having a fast alternative would be great. \r\n\r\n(The new 128k vocab size should really boost performance ... | 1,614 | 1,619 | 1,619 | CONTRIBUTOR | null | Hi, I am interested in using the DeBERTa model that was recently implemented here and incorporating it into [FARM](https://github.com/deepset-ai/FARM) so that it can also be used in open-domain QA settings through [Haystack](https://github.com/deepset-ai/haystack).
Just wondering why there's only a Slow Tokenizer im... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10498/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10498/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10497 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10497/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10497/comments | https://api.github.com/repos/huggingface/transformers/issues/10497/events | https://github.com/huggingface/transformers/issues/10497 | 820,925,931 | MDU6SXNzdWU4MjA5MjU5MzE= | 10,497 | Wav2Vec fine code | {
"login": "idanmoradarthas",
"id": 14873156,
"node_id": "MDQ6VXNlcjE0ODczMTU2",
"avatar_url": "https://avatars.githubusercontent.com/u/14873156?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/idanmoradarthas",
"html_url": "https://github.com/idanmoradarthas",
"followers_url": "https://api... | [] | closed | false | null | [] | [
"Hey @idanmoradarthas, \r\n\r\nI will soon release a notebook, that will explain in-detail how to fine-tune a Wav2Vec2 model (~1week). \r\n\r\nIt's quite time consuming for me to debug user-specific code, such as `convert_to_dataset_torch`, so I can only give you some tips here:\r\n\r\n- Try to convert your dataset... | 1,614 | 1,651 | 1,614 | NONE | null | # 🚀 Feature request
@patrickvonplaten
Hi, I have the following data set I want to use to fine tune Wav2Vec:
[cv-valid-train.zip](https://github.com/huggingface/transformers/files/6074839/cv-valid-train.zip)
I'm using the current transformers library from github (4.4.0 dev).
And I wrote the following code ba... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10497/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10497/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10496 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10496/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10496/comments | https://api.github.com/repos/huggingface/transformers/issues/10496/events | https://github.com/huggingface/transformers/pull/10496 | 820,891,613 | MDExOlB1bGxSZXF1ZXN0NTgzNzc2Mzk3 | 10,496 | [T5] Fix speed degradation bug t5 | {
"login": "patrickvonplaten",
"id": 23423619,
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patrickvonplaten",
"html_url": "https://github.com/patrickvonplaten",
"followers_url": "https://... | [] | closed | false | null | [] | [
"> Looks good to me!\r\n> \r\n> Some of the other library models also use this trick (BART-like models), we should also investigate those.\r\n\r\nGood point - yeah, let me fix this in this PR actually"
] | 1,614 | 1,614 | 1,614 | MEMBER | null | # What does this PR do?
Checking every value of a tensor for `inf` is expensive. This was added to T5 to allow for fp16 training, but should then also be used when the model is in fp16 to not slow down normal fp32 mode.
Using @dsgissin script:
```python
device = torch.device('cuda:0') if torch.cuda.is_avai... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10496/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10496/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10496",
"html_url": "https://github.com/huggingface/transformers/pull/10496",
"diff_url": "https://github.com/huggingface/transformers/pull/10496.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10496.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10495 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10495/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10495/comments | https://api.github.com/repos/huggingface/transformers/issues/10495/events | https://github.com/huggingface/transformers/issues/10495 | 820,861,772 | MDU6SXNzdWU4MjA4NjE3NzI= | 10,495 | Albert quantized | {
"login": "Zjq9409",
"id": 62974595,
"node_id": "MDQ6VXNlcjYyOTc0NTk1",
"avatar_url": "https://avatars.githubusercontent.com/u/62974595?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Zjq9409",
"html_url": "https://github.com/Zjq9409",
"followers_url": "https://api.github.com/users/Zjq940... | [] | closed | false | null | [] | [
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,614 | 1,619 | 1,619 | NONE | null | I use onnxruntime to optimize and quantize transformers model 'albert-base-v2' ,but the quantized result is different from original result,so,Does it support transformers albert quantized right now? | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10495/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10495/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10494 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10494/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10494/comments | https://api.github.com/repos/huggingface/transformers/issues/10494/events | https://github.com/huggingface/transformers/pull/10494 | 820,763,109 | MDExOlB1bGxSZXF1ZXN0NTgzNjY3NDE4 | 10,494 | [Wav2Vec2] Improve SpecAugment function by converting numpy based fun… | {
"login": "punitvara",
"id": 9531144,
"node_id": "MDQ6VXNlcjk1MzExNDQ=",
"avatar_url": "https://avatars.githubusercontent.com/u/9531144?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/punitvara",
"html_url": "https://github.com/punitvara",
"followers_url": "https://api.github.com/users/pu... | [] | closed | false | null | [] | [
"We need to run benchmark tests to see by how much the speed improved both on CPU and GPU",
"@patrickvonplaten Can you please help with above comments ?",
"Hey @punitvara,\r\n\r\nAt the moment, I sadly don't have the time to handle the big chunk of the PR. It would be great if you could try to:\r\n\r\n1) Find a... | 1,614 | 1,618 | 1,618 | NONE | null | …ction to pytorch based function
Implements #10459
# What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10494/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10494/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10494",
"html_url": "https://github.com/huggingface/transformers/pull/10494",
"diff_url": "https://github.com/huggingface/transformers/pull/10494.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10494.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10493 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10493/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10493/comments | https://api.github.com/repos/huggingface/transformers/issues/10493/events | https://github.com/huggingface/transformers/pull/10493 | 820,756,455 | MDExOlB1bGxSZXF1ZXN0NTgzNjYxMjAx | 10,493 | Generate can return cross-attention weights too | {
"login": "Mehrad0711",
"id": 28717374,
"node_id": "MDQ6VXNlcjI4NzE3Mzc0",
"avatar_url": "https://avatars.githubusercontent.com/u/28717374?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Mehrad0711",
"html_url": "https://github.com/Mehrad0711",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | [
"Hi, I tried to keep the code changes to a minimum. Thus, I avoided adding another argument for returning cross-attention weights and used `output_attentions` to check instead. \r\nAlso in docstrings, for `decoder_attentions` the shape is mentioned as `(batch_size*num_return_sequences, num_heads, generated_length,\... | 1,614 | 1,615 | 1,614 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10493/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10493/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10493",
"html_url": "https://github.com/huggingface/transformers/pull/10493",
"diff_url": "https://github.com/huggingface/transformers/pull/10493.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10493.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10492 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10492/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10492/comments | https://api.github.com/repos/huggingface/transformers/issues/10492/events | https://github.com/huggingface/transformers/issues/10492 | 820,745,341 | MDU6SXNzdWU4MjA3NDUzNDE= | 10,492 | Model Weights Fail to Load from Pre-Trained Model when Using `tf.name_scope` | {
"login": "EhsanM4t1qbit",
"id": 38892437,
"node_id": "MDQ6VXNlcjM4ODkyNDM3",
"avatar_url": "https://avatars.githubusercontent.com/u/38892437?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/EhsanM4t1qbit",
"html_url": "https://github.com/EhsanM4t1qbit",
"followers_url": "https://api.githu... | [] | closed | false | null | [] | [
"Hello!\n\nYou cannot load a model inside a namescope. This is the expected behavior because all the names are forced insides the h5 file. To use the model you have to load it outside your defined namescope and then use it inside.",
"This issue has been automatically marked as stale because it has not had recent ... | 1,614 | 1,619 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.3.0
- Platform: Darwin-19.2.0-x86_64-i386-64bit
- Python version: 3.6.6
- PyTorch version (GPU?): 1.7.1 (F... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10492/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10492/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10491 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10491/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10491/comments | https://api.github.com/repos/huggingface/transformers/issues/10491/events | https://github.com/huggingface/transformers/issues/10491 | 820,605,250 | MDU6SXNzdWU4MjA2MDUyNTA= | 10,491 | ONNX Training for Transformers | {
"login": "harsha070",
"id": 29897928,
"node_id": "MDQ6VXNlcjI5ODk3OTI4",
"avatar_url": "https://avatars.githubusercontent.com/u/29897928?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/harsha070",
"html_url": "https://github.com/harsha070",
"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | [
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,614 | 1,621 | 1,621 | NONE | null | # 🚀 Feature request
Is there a script for ONNX training of transformers on glue tasks ? If so, did anyone benchmark the training times ? If not, I can contribute.
## Motivation
Faster training.
| {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10491/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10491/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10490 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10490/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10490/comments | https://api.github.com/repos/huggingface/transformers/issues/10490/events | https://github.com/huggingface/transformers/issues/10490 | 820,484,414 | MDU6SXNzdWU4MjA0ODQ0MTQ= | 10,490 | Pipeline's QnA and run_qa predictions do not match | {
"login": "oersoy1",
"id": 4379212,
"node_id": "MDQ6VXNlcjQzNzkyMTI=",
"avatar_url": "https://avatars.githubusercontent.com/u/4379212?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/oersoy1",
"html_url": "https://github.com/oersoy1",
"followers_url": "https://api.github.com/users/oersoy1/... | [] | closed | false | null | [] | [
"Just to be sure I understand completely the problem since I don't see the F1s for the full results obtained via pipeline, which is producing the best results? `pipeline` or `run_qa`? Or are they different but overall comparable?",
"`run_qa.py` produces the better results. They are different on about 3000 record... | 1,614 | 1,652 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.3.0 or 4.4.0dev (tested in both versions)
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.7.1+cu101 (True)
- Tensorflow version (GPU?): 2.4.1 (True)
- Using GPU in script?: Yes
- Using distributed ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10490/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10490/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10489 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10489/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10489/comments | https://api.github.com/repos/huggingface/transformers/issues/10489/events | https://github.com/huggingface/transformers/pull/10489 | 820,418,410 | MDExOlB1bGxSZXF1ZXN0NTgzMzY1MzYw | 10,489 | Fix typos | {
"login": "WybeKoper",
"id": 40920213,
"node_id": "MDQ6VXNlcjQwOTIwMjEz",
"avatar_url": "https://avatars.githubusercontent.com/u/40920213?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/WybeKoper",
"html_url": "https://github.com/WybeKoper",
"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | # What does this PR do?
I fixed a couple of typos in comments.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10489/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10489/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10489",
"html_url": "https://github.com/huggingface/transformers/pull/10489",
"diff_url": "https://github.com/huggingface/transformers/pull/10489.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10489.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10488 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10488/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10488/comments | https://api.github.com/repos/huggingface/transformers/issues/10488/events | https://github.com/huggingface/transformers/pull/10488 | 820,403,249 | MDExOlB1bGxSZXF1ZXN0NTgzMzUzMTE2 | 10,488 | Smp grad accum | {
"login": "sgugger",
"id": 35901082,
"node_id": "MDQ6VXNlcjM1OTAxMDgy",
"avatar_url": "https://avatars.githubusercontent.com/u/35901082?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sgugger",
"html_url": "https://github.com/sgugger",
"followers_url": "https://api.github.com/users/sgugge... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | COLLABORATOR | null | # What does this PR do?
This PR adds support for gradient accumulation in `SageMakerTrainer`. It has been tested on the glue script with success (with and without gradient accumulation passed along). | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10488/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10488/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10488",
"html_url": "https://github.com/huggingface/transformers/pull/10488",
"diff_url": "https://github.com/huggingface/transformers/pull/10488.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10488.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10487 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10487/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10487/comments | https://api.github.com/repos/huggingface/transformers/issues/10487/events | https://github.com/huggingface/transformers/pull/10487 | 820,394,352 | MDExOlB1bGxSZXF1ZXN0NTgzMzQ1Nzg3 | 10,487 | remap MODEL_FOR_QUESTION_ANSWERING_MAPPING classes to names auto-generated file | {
"login": "stas00",
"id": 10676103,
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stas00",
"html_url": "https://github.com/stas00",
"followers_url": "https://api.github.com/users/stas00/fo... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | As discussed in https://github.com/huggingface/transformers/issues/10467 currently Trainer loads `models.auto.modeling_auto` which loads **all** modeling files, which is absolutely not needed most of the time. At times it could have unwanted side-effects, loading modeling files that require some 3rd party modules that ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10487/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10487/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10487",
"html_url": "https://github.com/huggingface/transformers/pull/10487",
"diff_url": "https://github.com/huggingface/transformers/pull/10487.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10487.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10486 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10486/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10486/comments | https://api.github.com/repos/huggingface/transformers/issues/10486/events | https://github.com/huggingface/transformers/issues/10486 | 820,336,870 | MDU6SXNzdWU4MjAzMzY4NzA= | 10,486 | Trainer not logging to WandB in SageMaker | {
"login": "alexf-a",
"id": 12577961,
"node_id": "MDQ6VXNlcjEyNTc3OTYx",
"avatar_url": "https://avatars.githubusercontent.com/u/12577961?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/alexf-a",
"html_url": "https://github.com/alexf-a",
"followers_url": "https://api.github.com/users/alexf-... | [] | closed | false | null | [] | [
"Are you sure `wandb` is installed in the container you are using for training? There can't be any report if it's not installed and initialized.",
"Yup, it's installed. Here is the requirements file that goes into the container\r\n\r\n```\r\nboto3==1.16.32\r\npeewee==3.13.3\r\npandas==1.0.5\r\ntorch==1.6.0\r\nnu... | 1,614 | 1,620 | 1,620 | NONE | null | - `transformers` version: 4.3.0
- wandb version: 0.10.20
- Platform: SageMaker hosted training with PyTorch estimator.
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
@stas00 @sgugger
I am using a SageMaker training environment to train `BertForSequenceClassification`. To ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10486/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10486/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10485 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10485/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10485/comments | https://api.github.com/repos/huggingface/transformers/issues/10485/events | https://github.com/huggingface/transformers/issues/10485 | 820,324,145 | MDU6SXNzdWU4MjAzMjQxNDU= | 10,485 | Constrained decoding? | {
"login": "kailashkarthiks",
"id": 78363282,
"node_id": "MDQ6VXNlcjc4MzYzMjgy",
"avatar_url": "https://avatars.githubusercontent.com/u/78363282?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kailashkarthiks",
"html_url": "https://github.com/kailashkarthiks",
"followers_url": "https://api... | [] | closed | false | null | [] | [
"I think you should take a look at `prefix_allowed_tokens_fn` on the [`generate` method](https://huggingface.co/transformers/main_classes/model.html?highlight=generate#transformers.generation_utils.GenerationMixin.generate). \r\n\r\nIt let's you create a function to constrain the generation based on previously gene... | 1,614 | 1,623 | 1,614 | NONE | null | Is it possible to implement constraints on the beam during decoding using a seq2seq model? [NeuroLogic Decoding](https://arxiv.org/abs/2010.12884), [Constrained Abstractive Summarization](https://arxiv.org/abs/2010.12723)
I see that there is a Callback feature in the library - but AFAIK it only lets modify the train... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10485/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10485/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10484 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10484/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10484/comments | https://api.github.com/repos/huggingface/transformers/issues/10484/events | https://github.com/huggingface/transformers/issues/10484 | 820,311,946 | MDU6SXNzdWU4MjAzMTE5NDY= | 10,484 | Corrupted Relative Attention in T5 Decoder | {
"login": "Slash0BZ",
"id": 6762144,
"node_id": "MDQ6VXNlcjY3NjIxNDQ=",
"avatar_url": "https://avatars.githubusercontent.com/u/6762144?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Slash0BZ",
"html_url": "https://github.com/Slash0BZ",
"followers_url": "https://api.github.com/users/Slash... | [] | closed | false | {
"login": "ydshieh",
"id": 2521628,
"node_id": "MDQ6VXNlcjI1MjE2Mjg=",
"avatar_url": "https://avatars.githubusercontent.com/u/2521628?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ydshieh",
"html_url": "https://github.com/ydshieh",
"followers_url": "https://api.github.com/users/ydshieh/... | [
{
"login": "ydshieh",
"id": 2521628,
"node_id": "MDQ6VXNlcjI1MjE2Mjg=",
"avatar_url": "https://avatars.githubusercontent.com/u/2521628?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ydshieh",
"html_url": "https://github.com/ydshieh",
"followers_url": "https://api.githu... | [
"Uploaded full dataset and trained model: https://drive.google.com/drive/u/1/folders/1A7PIG1E98uuGUi8mDA2m_6T_oQp8XDhF\r\n\r\nYou can reproduce the issue by simply evaluating the test set using the trained model and observe the behavior with the aforementioned sets of decoder input ids. I suspect the issue is the s... | 1,614 | 1,652 | 1,623 | NONE | null | ## Environment info
platform: Mac/Ubuntu 14
transformers==2.11.0
torch==1.4.0 (GPU)
python 3.6
I know this is an old version but it supports important experiments in a paper under review. Would appreciate to know what's wrong. I checked the commit log and I don't think any following commits resolve it.
### Who... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10484/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10484/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10483 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10483/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10483/comments | https://api.github.com/repos/huggingface/transformers/issues/10483/events | https://github.com/huggingface/transformers/pull/10483 | 820,281,236 | MDExOlB1bGxSZXF1ZXN0NTgzMjUwNzEy | 10,483 | add shift on BartForCausalLM | {
"login": "voidful",
"id": 10904842,
"node_id": "MDQ6VXNlcjEwOTA0ODQy",
"avatar_url": "https://avatars.githubusercontent.com/u/10904842?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/voidful",
"html_url": "https://github.com/voidful",
"followers_url": "https://api.github.com/users/voidfu... | [] | closed | false | null | [] | [] | 1,614 | 1,615 | 1,615 | CONTRIBUTOR | null | # What does this PR do?
Fixes #10480
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-reque... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10483/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10483/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10483",
"html_url": "https://github.com/huggingface/transformers/pull/10483",
"diff_url": "https://github.com/huggingface/transformers/pull/10483.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10483.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10482 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10482/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10482/comments | https://api.github.com/repos/huggingface/transformers/issues/10482/events | https://github.com/huggingface/transformers/issues/10482 | 820,258,586 | MDU6SXNzdWU4MjAyNTg1ODY= | 10,482 | [examples] should all examples support the predict stage? | {
"login": "stas00",
"id": 10676103,
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stas00",
"html_url": "https://github.com/stas00",
"followers_url": "https://api.github.com/users/stas00/fo... | [
{
"id": 1936351150,
"node_id": "MDU6TGFiZWwxOTM2MzUxMTUw",
"url": "https://api.github.com/repos/huggingface/transformers/labels/Examples",
"name": "Examples",
"color": "d4c5f9",
"default": false,
"description": "Which is related to examples in general"
}
] | closed | false | {
"login": "bhadreshpsavani",
"id": 26653468,
"node_id": "MDQ6VXNlcjI2NjUzNDY4",
"avatar_url": "https://avatars.githubusercontent.com/u/26653468?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bhadreshpsavani",
"html_url": "https://github.com/bhadreshpsavani",
"followers_url": "https://api... | [
{
"login": "bhadreshpsavani",
"id": 26653468,
"node_id": "MDQ6VXNlcjI2NjUzNDY4",
"avatar_url": "https://avatars.githubusercontent.com/u/26653468?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bhadreshpsavani",
"html_url": "https://github.com/bhadreshpsavani",
"follower... | [
"I think we should have it on all scripts except the language-modeling ones -> it doesn't make much sense there.",
"@bhadreshpsavani, please feel free to make this part of your project or not. Please do not feel obliged as you can see a small need quickly expands into a much bigger one.\r\n\r\nIf not, then comple... | 1,614 | 1,620 | 1,616 | CONTRIBUTOR | null | This is part of the ongoing effort to sync the example scripts.
In https://github.com/huggingface/transformers/issues/10437#issuecomment-789090858 it was flagged that some scripts have test/predict, whereas others don't.
Should we:
A. have all scripts have train/eval/predict
B. only have predict where it's desi... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10482/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10482/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10481 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10481/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10481/comments | https://api.github.com/repos/huggingface/transformers/issues/10481/events | https://github.com/huggingface/transformers/pull/10481 | 820,115,813 | MDExOlB1bGxSZXF1ZXN0NTgzMTEzNjgx | 10,481 | feat(docs): navigate with left/right arrow keys | {
"login": "ydcjeff",
"id": 32727188,
"node_id": "MDQ6VXNlcjMyNzI3MTg4",
"avatar_url": "https://avatars.githubusercontent.com/u/32727188?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ydcjeff",
"html_url": "https://github.com/ydcjeff",
"followers_url": "https://api.github.com/users/ydcjef... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10481/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10481/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10481",
"html_url": "https://github.com/huggingface/transformers/pull/10481",
"diff_url": "https://github.com/huggingface/transformers/pull/10481.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10481.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10480 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10480/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10480/comments | https://api.github.com/repos/huggingface/transformers/issues/10480/events | https://github.com/huggingface/transformers/issues/10480 | 819,978,837 | MDU6SXNzdWU4MTk5Nzg4Mzc= | 10,480 | Different result in AutoModelForCausalLM | {
"login": "voidful",
"id": 10904842,
"node_id": "MDQ6VXNlcjEwOTA0ODQy",
"avatar_url": "https://avatars.githubusercontent.com/u/10904842?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/voidful",
"html_url": "https://github.com/voidful",
"followers_url": "https://api.github.com/users/voidfu... | [] | closed | false | null | [] | [
"Hi @voidful \r\n\r\nThe reason we need to shift labels in roberta because the `labels` start with the `decoder_start_token_id` (`pad` or `bos`),\r\nwhich are then passed directly to the decoder as `decoder_input_ids`, which is the reason we need to shift the `labels` when calculating the loss\r\n\r\nNow in BART, `... | 1,614 | 1,615 | 1,615 | CONTRIBUTOR | null | # 🚀 Feature request
Models inside AutoModelForCausalLM have different behavior on loss calculation.
In BartForCausalLM
there is no shift in loss calculation
https://github.com/huggingface/transformers/blob/b013842244df7be96b8cc841491bd1e35e475e36/src/transformers/models/bart/modeling_bart.py#L1745
```
loss_fct... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10480/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10480/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10479 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10479/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10479/comments | https://api.github.com/repos/huggingface/transformers/issues/10479/events | https://github.com/huggingface/transformers/issues/10479 | 819,925,876 | MDU6SXNzdWU4MTk5MjU4NzY= | 10,479 | Question regarding training of BartForConditionalGeneration | {
"login": "bnaman50",
"id": 5251592,
"node_id": "MDQ6VXNlcjUyNTE1OTI=",
"avatar_url": "https://avatars.githubusercontent.com/u/5251592?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bnaman50",
"html_url": "https://github.com/bnaman50",
"followers_url": "https://api.github.com/users/bnama... | [] | closed | false | null | [] | [
"~Please ask on discuss.huggingface.co so that others can see your answer!~",
"Thanks for the prompt reply, @sshleifer. I wasn't aware of the discussion page. \r\nIn that case, should I close the issue since it is just a query question?\r\n\r\nThanks, \r\nNaman",
"- I got confused. This is a reasonable place fo... | 1,614 | 1,651 | 1,620 | NONE | null | Hello Guys,
I am trying to fine-tune the BART summarization model but due to the lack of big dataset, having some difficulties with the fine-tuning.
Thus, I decided to look at the trainig process of BartForConditionalGeneration model in detail. I came across this article, [Introducing BART](https://sshleifer.git... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10479/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10479/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10478 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10478/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10478/comments | https://api.github.com/repos/huggingface/transformers/issues/10478/events | https://github.com/huggingface/transformers/issues/10478 | 819,911,664 | MDU6SXNzdWU4MTk5MTE2NjQ= | 10,478 | generate() decoder_input_ids padding | {
"login": "LittlePea13",
"id": 26126169,
"node_id": "MDQ6VXNlcjI2MTI2MTY5",
"avatar_url": "https://avatars.githubusercontent.com/u/26126169?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/LittlePea13",
"html_url": "https://github.com/LittlePea13",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [
"The issue was discussed at https://github.com/huggingface/transformers/pull/10552, and this is expected behaviour. If one wants to generate using `decoder_input_ids` with different lengths, the suggested approach is to use `padding_side` as `left` on the tokenizer.\r\nFor a custom solution if one wants to preserve... | 1,614 | 1,618 | 1,616 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.4.0.dev0
- Platform: Linux-5.4.0-66-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.9
- PyTorc... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10478/reactions",
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 1
} | https://api.github.com/repos/huggingface/transformers/issues/10478/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10477 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10477/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10477/comments | https://api.github.com/repos/huggingface/transformers/issues/10477/events | https://github.com/huggingface/transformers/issues/10477 | 819,872,806 | MDU6SXNzdWU4MTk4NzI4MDY= | 10,477 | Facing NCCL error on Multi-GPU training(on single machine) using run_glue.py script | {
"login": "aditya-malte",
"id": 20294625,
"node_id": "MDQ6VXNlcjIwMjk0NjI1",
"avatar_url": "https://avatars.githubusercontent.com/u/20294625?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/aditya-malte",
"html_url": "https://github.com/aditya-malte",
"followers_url": "https://api.github.c... | [] | closed | false | null | [] | [
"cc @sgugger ",
"This seems like a problem in your environment install for NCCL: if your script can run on two GPUs there is nothing in the code to change to make it run on four GPUs so this is not a bug in the training script or transformers. I have never seen that particular NCCL error so I'm afraid I can't rea... | 1,614 | 1,628 | 1,614 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.3.2
- Platform: Linux-4.19.0-14-cloud-amd64-x86_64-with-debian-buster-sid
- Python version: 3.7.9
- PyTorc... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10477/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10477/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10476 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10476/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10476/comments | https://api.github.com/repos/huggingface/transformers/issues/10476/events | https://github.com/huggingface/transformers/issues/10476 | 819,804,301 | MDU6SXNzdWU4MTk4MDQzMDE= | 10,476 | The size of CoNLL-2003 is not consistant with the official release. | {
"login": "h-peng17",
"id": 39556019,
"node_id": "MDQ6VXNlcjM5NTU2MDE5",
"avatar_url": "https://avatars.githubusercontent.com/u/39556019?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/h-peng17",
"html_url": "https://github.com/h-peng17",
"followers_url": "https://api.github.com/users/h-p... | [] | closed | false | null | [] | [
"Hi there, \r\n\r\nThe training scripts load the dataset using the `datasets` library, so this issue is related to the `datasets` lib, you can open it in that repo https://github.com/huggingface/datasets.",
"Thank you!"
] | 1,614 | 1,614 | 1,614 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform: -
- Python version: -
- PyTorch version (GPU?): -
- Tensorflow version (GPU?): -
- Using GPU i... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10476/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10476/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10475/comments | https://api.github.com/repos/huggingface/transformers/issues/10475/events | https://github.com/huggingface/transformers/pull/10475 | 819,699,425 | MDExOlB1bGxSZXF1ZXN0NTgyNzY5OTAy | 10,475 | Fixes compatibility bug when using grouped beam search and constrained decoding together | {
"login": "mnschmit",
"id": 2377507,
"node_id": "MDQ6VXNlcjIzNzc1MDc=",
"avatar_url": "https://avatars.githubusercontent.com/u/2377507?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mnschmit",
"html_url": "https://github.com/mnschmit",
"followers_url": "https://api.github.com/users/mnsch... | [] | closed | false | null | [] | [
"Thanks a lot!"
] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | Fixes #10415
## Who can review?
@patrickvonplaten | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10475/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10475/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10475",
"html_url": "https://github.com/huggingface/transformers/pull/10475",
"diff_url": "https://github.com/huggingface/transformers/pull/10475.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10475.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10474 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10474/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10474/comments | https://api.github.com/repos/huggingface/transformers/issues/10474/events | https://github.com/huggingface/transformers/issues/10474 | 819,696,766 | MDU6SXNzdWU4MTk2OTY3NjY= | 10,474 | Continue pre-training using the example code "run_mlm.py" | {
"login": "pavlion",
"id": 35861990,
"node_id": "MDQ6VXNlcjM1ODYxOTkw",
"avatar_url": "https://avatars.githubusercontent.com/u/35861990?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/pavlion",
"html_url": "https://github.com/pavlion",
"followers_url": "https://api.github.com/users/pavlio... | [] | closed | false | null | [] | [
"Hi there,\r\n\r\nthe `run_mlm` script expects an unlabeled text dataset, i.e a dataset with the column `text` in it, if there is no `text` column then it assumes that the first column is the text column.\r\n\r\nHere `sst2` is a classification dataset and the first column is `idx`. \r\nSo you could change the scrip... | 1,614 | 1,615 | 1,615 | NONE | null | ## Environment info
- `transformers` version: 4.3.3
- Platform: Linux-5.4.0-65-generic-x86_64-with-glibc2.10 (Ubuntu 18.04)
- Python version: 3.8.8
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10474/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10474/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10473 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10473/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10473/comments | https://api.github.com/repos/huggingface/transformers/issues/10473/events | https://github.com/huggingface/transformers/issues/10473 | 819,660,963 | MDU6SXNzdWU4MTk2NjA5NjM= | 10,473 | Issue with converting my own BERT TF2 checkpoint to PyTorch and loading the converted PyTorch checkpoint for training | {
"login": "jalajthanaki",
"id": 12840374,
"node_id": "MDQ6VXNlcjEyODQwMzc0",
"avatar_url": "https://avatars.githubusercontent.com/u/12840374?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jalajthanaki",
"html_url": "https://github.com/jalajthanaki",
"followers_url": "https://api.github.c... | [] | closed | false | null | [] | [
"You've converted them successfully in PyTorch, so you should be left with a `pytorch_model.bin` alongside a `config.json`, is that right?\r\n\r\nI recommend reading the [quicktour entry related to using models](https://huggingface.co/transformers/quicktour.html#using-the-model) in order to get a sense of how one c... | 1,614 | 1,615 | 1,615 | NONE | null | Hi,
I’m using huggingface to train my own bert model. I have checkpoints which are in TensorFlow2 and I have converted them successfully in PyTorch. The checkpoint conversion script has created **_.bin_** file which is having following subdirectories and pkl file.
![dfa9d353b4e25888726ebae99c19c048aaa9d4e4](https... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10473/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10473/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10472 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10472/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10472/comments | https://api.github.com/repos/huggingface/transformers/issues/10472/events | https://github.com/huggingface/transformers/issues/10472 | 819,621,689 | MDU6SXNzdWU4MTk2MjE2ODk= | 10,472 | Needed a feature to convert facebook mbart many - many model to ONNX runtime inorder to reduce the inference time | {
"login": "Vimal0307",
"id": 41289592,
"node_id": "MDQ6VXNlcjQxMjg5NTky",
"avatar_url": "https://avatars.githubusercontent.com/u/41289592?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Vimal0307",
"html_url": "https://github.com/Vimal0307",
"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | [
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,614 | 1,619 | 1,619 | NONE | null | We need a feature which makes the facebook mbart many - many model to convert to ONNX runtime which reduces the inference time, current mbart many-many model takes 9 secs to translate and we need to quantize it further to reduce the inference time | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10472/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10472/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10471 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10471/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10471/comments | https://api.github.com/repos/huggingface/transformers/issues/10471/events | https://github.com/huggingface/transformers/issues/10471 | 819,614,899 | MDU6SXNzdWU4MTk2MTQ4OTk= | 10,471 | Question: change location of cache datasets | {
"login": "ioana-blue",
"id": 17202292,
"node_id": "MDQ6VXNlcjE3MjAyMjky",
"avatar_url": "https://avatars.githubusercontent.com/u/17202292?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ioana-blue",
"html_url": "https://github.com/ioana-blue",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | [
"One more thing (maybe this is a bug): why are the datasets stuff cached in ~/.cache/huggingface/datasets when I have both the env var set up AND I specify a cache dir with --cache_dir when I run my scripts? The pretrained models go in the --cache_dir specified but the datasets don't. This is confusing (and maybe b... | 1,614 | 1,614 | 1,614 | NONE | null | This is not a bug, it's a question. I don't have too much space allowed in my home dir and I have to store most stuff elsewhere. I noticed that the library caches a lot of stuff under ~/.cache/huggingface (in particular under datasets). How do I change the location of the cache dir? I have `export TRANSFORMERS_CACHE=..... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10471/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10471/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10470 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10470/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10470/comments | https://api.github.com/repos/huggingface/transformers/issues/10470/events | https://github.com/huggingface/transformers/issues/10470 | 819,554,879 | MDU6SXNzdWU4MTk1NTQ4Nzk= | 10,470 | (Sorry I can not visit the forum) BORT question: pre-training-using-knowledge-distillation is better than pre-training-only for downstream tasks? | {
"login": "guotong1988",
"id": 4702353,
"node_id": "MDQ6VXNlcjQ3MDIzNTM=",
"avatar_url": "https://avatars.githubusercontent.com/u/4702353?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/guotong1988",
"html_url": "https://github.com/guotong1988",
"followers_url": "https://api.github.com/us... | [] | closed | false | null | [] | [
"https://github.com/alexa/bort/issues/10"
] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | The paper shows the MLM accuarcy comparision.
What is the **downstream tasks'** performance comparison for pre-training-using-knowledge-distillation and pre-training-only to the end?
Thank you very ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10470/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10470/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10469 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10469/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10469/comments | https://api.github.com/repos/huggingface/transformers/issues/10469/events | https://github.com/huggingface/transformers/issues/10469 | 819,526,454 | MDU6SXNzdWU4MTk1MjY0NTQ= | 10,469 | The described function in docs was not implemented in source code | {
"login": "yww211",
"id": 32888325,
"node_id": "MDQ6VXNlcjMyODg4MzI1",
"avatar_url": "https://avatars.githubusercontent.com/u/32888325?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/yww211",
"html_url": "https://github.com/yww211",
"followers_url": "https://api.github.com/users/yww211/fo... | [] | closed | false | null | [] | [
"Ah, indeed! cc @sgugger"
] | 1,614 | 1,614 | 1,614 | NONE | null | https://github.com/huggingface/transformers/blob/0c2325198fd638e5d1f0c7dcbdd8bf7f14c0ff7d/src/transformers/file_utils.py#L1512
The method of `update` in `ModelOutput` described as below,
https://huggingface.co/transformers/main_classes/output.html?highlight=modeloutput#transformers.file_utils.ModelOutput.update
bu... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10469/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10469/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10468 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10468/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10468/comments | https://api.github.com/repos/huggingface/transformers/issues/10468/events | https://github.com/huggingface/transformers/issues/10468 | 819,416,755 | MDU6SXNzdWU4MTk0MTY3NTU= | 10,468 | run_ner.py training data file format | {
"login": "pranav-s",
"id": 9393002,
"node_id": "MDQ6VXNlcjkzOTMwMDI=",
"avatar_url": "https://avatars.githubusercontent.com/u/9393002?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/pranav-s",
"html_url": "https://github.com/pranav-s",
"followers_url": "https://api.github.com/users/prana... | [] | closed | false | null | [] | [
"Hi @pranav-s \r\n\r\nWe only support the `json` and `csv` files in the examples. To convert your text files to the `json` format, you could use this `datasets` script as references, which converts the `conll` text files to the `datasets` format.\r\nhttps://github.com/huggingface/datasets/blob/master/datasets/conll... | 1,614 | 1,624 | 1,614 | NONE | null | # 🚀 Feature request
Would it be possible to support text files as input files for the run_ner.py script similar to what was supported in examples/legacy/token-classification/run_ner.py ? This, I believe is the CoNLL-2003 format. The current version of the run_ner.py script in /examples/token-classification appears ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10468/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10468/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10467 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10467/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10467/comments | https://api.github.com/repos/huggingface/transformers/issues/10467/events | https://github.com/huggingface/transformers/issues/10467 | 819,398,254 | MDU6SXNzdWU4MTkzOTgyNTQ= | 10,467 | modeling files loaded when they aren't being asked to be loaded | {
"login": "stas00",
"id": 10676103,
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stas00",
"html_url": "https://github.com/stas00",
"followers_url": "https://api.github.com/users/stas00/fo... | [] | closed | false | null | [] | [
"I'm not sure there is a way to workaround `Trainer` loading all models since it needs the `MODEL_FOR_QUESTION_ANSWERING_MAPPING` to get the names of the labels (those models have different label names that are not `labels`). The auto models then loads every model in the lib, which we can't work around without rewr... | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | ```
File "/gpfsdswork/projects/rech/ajs/uiz98zp/stas/transformers-master/src/transformers/trainer_seq2seq.py", line 22, in <module>
from .trainer import Trainer
File "/gpfsdswork/projects/rech/ajs/uiz98zp/stas/transformers-master/src/transformers/trainer.py", line 65, in <module>
from .trainer import Tr... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10467/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10467/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10466 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10466/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10466/comments | https://api.github.com/repos/huggingface/transformers/issues/10466/events | https://github.com/huggingface/transformers/pull/10466 | 819,370,887 | MDExOlB1bGxSZXF1ZXN0NTgyNDg5Nzgz | 10,466 | Fix the bug in constructing the all_hidden_states of DeBERTa v2 | {
"login": "felixgwu",
"id": 7753366,
"node_id": "MDQ6VXNlcjc3NTMzNjY=",
"avatar_url": "https://avatars.githubusercontent.com/u/7753366?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/felixgwu",
"html_url": "https://github.com/felixgwu",
"followers_url": "https://api.github.com/users/felix... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10466/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10466/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10466",
"html_url": "https://github.com/huggingface/transformers/pull/10466",
"diff_url": "https://github.com/huggingface/transformers/pull/10466.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10466.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10465 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10465/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10465/comments | https://api.github.com/repos/huggingface/transformers/issues/10465/events | https://github.com/huggingface/transformers/issues/10465 | 819,364,229 | MDU6SXNzdWU4MTkzNjQyMjk= | 10,465 | Tflite conversion error for TFMT5ForConditionalGeneration model | {
"login": "abhijeetchauhan",
"id": 11993662,
"node_id": "MDQ6VXNlcjExOTkzNjYy",
"avatar_url": "https://avatars.githubusercontent.com/u/11993662?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/abhijeetchauhan",
"html_url": "https://github.com/abhijeetchauhan",
"followers_url": "https://api... | [] | closed | false | null | [] | [
"Hello!\r\n\r\nCurrently, most of the TF models are not compliant with TFLite. Sorry for the inconvenience, if you want to help on this, you can propose a PR to fix this, this will be more than welcome!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this ... | 1,614 | 1,619 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: Version: 4.4.0.dev0
- Platform: Not sure what this means
- Python version: 3
- PyTorch version (GPU?):
- Te... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10465/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10465/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10464 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10464/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10464/comments | https://api.github.com/repos/huggingface/transformers/issues/10464/events | https://github.com/huggingface/transformers/pull/10464 | 819,153,496 | MDExOlB1bGxSZXF1ZXN0NTgyMjk5ODMy | 10,464 | [Deepspeed] Allow HF optimizer and scheduler to be passed to deepspeed | {
"login": "cli99",
"id": 17418037,
"node_id": "MDQ6VXNlcjE3NDE4MDM3",
"avatar_url": "https://avatars.githubusercontent.com/u/17418037?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/cli99",
"html_url": "https://github.com/cli99",
"followers_url": "https://api.github.com/users/cli99/follow... | [
{
"id": 2659267025,
"node_id": "MDU6TGFiZWwyNjU5MjY3MDI1",
"url": "https://api.github.com/repos/huggingface/transformers/labels/DeepSpeed",
"name": "DeepSpeed",
"color": "4D34F7",
"default": false,
"description": ""
}
] | closed | false | {
"login": "stas00",
"id": 10676103,
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stas00",
"html_url": "https://github.com/stas00",
"followers_url": "https://api.github.com/users/stas00/fo... | [
{
"login": "stas00",
"id": 10676103,
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stas00",
"html_url": "https://github.com/stas00",
"followers_url": "https://api.github... | [
"OK, 2 tests added and no, this doesn't work w/o neither the default optimizer nor the default scheduler. e.g. if you comment out the `del ` lines in the tests then we are using DS optim/sched and things are back to normal.\r\n\r\nI didn't have time to investigate as it's late, so just sharing the outputs at the mo... | 1,614 | 1,615 | 1,615 | CONTRIBUTOR | null | # Use HF optimizer and/or scheduler unless specified in deepspeed config
If HF is already creating an optimizer and LR scheduler, we should not try to match that config/implementation in a ds_config.json instead we pass it to deepspeed.initialize(..., lr_scheduler=hf_lr_scheduler)
* [x] This PR checks if ds_confi... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10464/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10464/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10464",
"html_url": "https://github.com/huggingface/transformers/pull/10464",
"diff_url": "https://github.com/huggingface/transformers/pull/10464.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10464.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10463 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10463/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10463/comments | https://api.github.com/repos/huggingface/transformers/issues/10463/events | https://github.com/huggingface/transformers/issues/10463 | 819,153,223 | MDU6SXNzdWU4MTkxNTMyMjM= | 10,463 | Script for squad_v2 for custom data not working | {
"login": "BatMrE",
"id": 48859022,
"node_id": "MDQ6VXNlcjQ4ODU5MDIy",
"avatar_url": "https://avatars.githubusercontent.com/u/48859022?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/BatMrE",
"html_url": "https://github.com/BatMrE",
"followers_url": "https://api.github.com/users/BatMrE/fo... | [] | closed | false | null | [] | [
"hi @BatMrE \r\n\r\ncould you try the new `run_qa.py` example script and let us know if you still face the issue. You can find the new script here \r\nhttps://github.com/huggingface/transformers/tree/master/examples/question-answering",
"> hi @BatMrE\r\n> \r\n> could you try the new `run_qa.py` example script and... | 1,614 | 1,619 | 1,619 | NONE | null | **Environment info**
transformers version: 4.3.3
Platform: Linux-4.15.0-91-generic-x86_64-with-debian-buster-sid
Python version: 3.7.6
Using GPU in script?: True
Using distributed or parallel set-up in script?: True
**Who can help**
@gowtham1997 @patil-suraj
I am running the script from docs to train and e... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10463/reactions",
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10463/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10462 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10462/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10462/comments | https://api.github.com/repos/huggingface/transformers/issues/10462/events | https://github.com/huggingface/transformers/pull/10462 | 819,074,896 | MDExOlB1bGxSZXF1ZXN0NTgyMjM0NTkz | 10,462 | Add I-BERT to README | {
"login": "LysandreJik",
"id": 30755778,
"node_id": "MDQ6VXNlcjMwNzU1Nzc4",
"avatar_url": "https://avatars.githubusercontent.com/u/30755778?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/LysandreJik",
"html_url": "https://github.com/LysandreJik",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | MEMBER | null | This PR adds I-BERT to the readme, it was forgotten. | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10462/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10462/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10462",
"html_url": "https://github.com/huggingface/transformers/pull/10462",
"diff_url": "https://github.com/huggingface/transformers/pull/10462.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10462.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10461 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10461/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10461/comments | https://api.github.com/repos/huggingface/transformers/issues/10461/events | https://github.com/huggingface/transformers/pull/10461 | 819,008,600 | MDExOlB1bGxSZXF1ZXN0NTgyMTc5NjY4 | 10,461 | pass correct head mask to cross-attention layer | {
"login": "patil-suraj",
"id": 27137566,
"node_id": "MDQ6VXNlcjI3MTM3NTY2",
"avatar_url": "https://avatars.githubusercontent.com/u/27137566?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patil-suraj",
"html_url": "https://github.com/patil-suraj",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [
"I see, then this looks a bit confusing to me, other seq2seq models (BART, Marian, BlendSmall) pass `encoder_layer_head_mask` to cross attention\r\n\r\nhttps://github.com/huggingface/transformers/blob/9248e27037ce7f7c9359802e6fdf819a1e227a18/src/transformers/models/bart/modeling_bart.py#L419\r\n\r\nhttps://github.c... | 1,614 | 1,614 | 1,614 | MEMBER | null | # What does this PR do?
MBart, Blender, and Pegaus models decoder layers pass `layer_head_mask` head mask to cross attention layer, which is incorrect. This PR passes the correct `encoder_layer_head_mask` to cross-attention layer. | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10461/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10461/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10461",
"html_url": "https://github.com/huggingface/transformers/pull/10461",
"diff_url": "https://github.com/huggingface/transformers/pull/10461.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10461.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10460 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10460/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10460/comments | https://api.github.com/repos/huggingface/transformers/issues/10460/events | https://github.com/huggingface/transformers/issues/10460 | 818,923,860 | MDU6SXNzdWU4MTg5MjM4NjA= | 10,460 | How to Reduce the inference time of Facebook/many to many model? | {
"login": "sankarsiva123",
"id": 58412261,
"node_id": "MDQ6VXNlcjU4NDEyMjYx",
"avatar_url": "https://avatars.githubusercontent.com/u/58412261?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sankarsiva123",
"html_url": "https://github.com/sankarsiva123",
"followers_url": "https://api.githu... | [] | closed | false | null | [] | [
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,614 | 1,619 | 1,619 | NONE | null | Facebook/many to many model takes 9s on cpu to translate , how to reduce the inference time on cpu ?
It will be helpful if an method is suggested . | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10460/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10460/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10459 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10459/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10459/comments | https://api.github.com/repos/huggingface/transformers/issues/10459/events | https://github.com/huggingface/transformers/issues/10459 | 818,920,048 | MDU6SXNzdWU4MTg5MjAwNDg= | 10,459 | [Wav2Vec2] Improve SpecAugment function by converting numpy based function to pytorch based function | {
"login": "patrickvonplaten",
"id": 23423619,
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patrickvonplaten",
"html_url": "https://github.com/patrickvonplaten",
"followers_url": "https://... | [
{
"id": 1990918270,
"node_id": "MDU6TGFiZWwxOTkwOTE4Mjcw",
"url": "https://api.github.com/repos/huggingface/transformers/labels/Good%20First%20Issue",
"name": "Good First Issue",
"color": "bbf794",
"default": false,
"description": ""
}
] | closed | false | null | [] | [
"@patrickvonplaten You mean it function definition will become def _compute_mask_indices(\r\n shape: Tuple[int, int],\r\n mask_prob: float,\r\n mask_length: int,\r\n attention_mask: Optional[torch.Tensor] = None,\r\n min_masks: int = 0,\r\n) -> torch.tensor:\r\n\r\n?? Of course internal working also... | 1,614 | 1,621 | 1,621 | MEMBER | null | # 🚀 Feature request
As can be seen here: https://github.com/huggingface/transformers/blob/11655fafdd42eb56ad94e09ecd84d4dc2d1041ae/src/transformers/models/wav2vec2/modeling_wav2vec2.py#L47,
the function `_compute_mask_indices` (responsible for spec augment) of Wav2Vec2 is written in numpy which means that the fu... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10459/reactions",
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10459/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10458 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10458/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10458/comments | https://api.github.com/repos/huggingface/transformers/issues/10458/events | https://github.com/huggingface/transformers/pull/10458 | 818,742,216 | MDExOlB1bGxSZXF1ZXN0NTgxOTU0NTQw | 10,458 | Work towards fixing Flax tests | {
"login": "avital",
"id": 37586,
"node_id": "MDQ6VXNlcjM3NTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/37586?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/avital",
"html_url": "https://github.com/avital",
"followers_url": "https://api.github.com/users/avital/followers",
... | [] | closed | false | null | [] | [
"/cc @patrickvonplaten for review",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/tra... | 1,614 | 1,618 | 1,618 | CONTRIBUTOR | null | I still get failures that seem due to missing HTTP artifacts, e.g.
E OSError: Can't load weights for 'roberta-large'. Make sure that:
E
E - 'roberta-large' is a correct model identifier listed on 'https://huggingface.co/models'
E
E - or 'roberta-large' is the correct pat... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10458/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10458/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10458",
"html_url": "https://github.com/huggingface/transformers/pull/10458",
"diff_url": "https://github.com/huggingface/transformers/pull/10458.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10458.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10457 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10457/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10457/comments | https://api.github.com/repos/huggingface/transformers/issues/10457/events | https://github.com/huggingface/transformers/pull/10457 | 818,656,840 | MDExOlB1bGxSZXF1ZXN0NTgxODgyNzQy | 10,457 | [Wav2Vec2] Remove unused config | {
"login": "patrickvonplaten",
"id": 23423619,
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patrickvonplaten",
"html_url": "https://github.com/patrickvonplaten",
"followers_url": "https://... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | MEMBER | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10457/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10457/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10457",
"html_url": "https://github.com/huggingface/transformers/pull/10457",
"diff_url": "https://github.com/huggingface/transformers/pull/10457.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10457.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10456 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10456/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10456/comments | https://api.github.com/repos/huggingface/transformers/issues/10456/events | https://github.com/huggingface/transformers/issues/10456 | 818,607,680 | MDU6SXNzdWU4MTg2MDc2ODA= | 10,456 | How to Improve inference time of facebook/mbart many to many model? | {
"login": "Vimal0307",
"id": 41289592,
"node_id": "MDQ6VXNlcjQxMjg5NTky",
"avatar_url": "https://avatars.githubusercontent.com/u/41289592?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Vimal0307",
"html_url": "https://github.com/Vimal0307",
"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | [
"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,614 | 1,614 | 1,614 | NONE | null | If we tried to run translation service on facebook mbart many to many on cpu it take 9 secs to translate, how do we reduce the inference time further | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10456/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10456/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10455 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10455/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10455/comments | https://api.github.com/repos/huggingface/transformers/issues/10455/events | https://github.com/huggingface/transformers/pull/10455 | 818,584,632 | MDExOlB1bGxSZXF1ZXN0NTgxODIyMTk0 | 10,455 | [Wav2Vec2FeatureExtractor] smal fixes | {
"login": "patil-suraj",
"id": 27137566,
"node_id": "MDQ6VXNlcjI3MTM3NTY2",
"avatar_url": "https://avatars.githubusercontent.com/u/27137566?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patil-suraj",
"html_url": "https://github.com/patil-suraj",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | MEMBER | null | # What does this PR do?
This PR adds the `return_attention_mask` argument to `Wav2Vec2FeatureExtractor.__call__` method. | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10455/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10455/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10455",
"html_url": "https://github.com/huggingface/transformers/pull/10455",
"diff_url": "https://github.com/huggingface/transformers/pull/10455.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10455.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10454 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10454/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10454/comments | https://api.github.com/repos/huggingface/transformers/issues/10454/events | https://github.com/huggingface/transformers/issues/10454 | 818,574,613 | MDU6SXNzdWU4MTg1NzQ2MTM= | 10,454 | How can I make the logging utils log to a file as well? | {
"login": "howardlau1999",
"id": 5250490,
"node_id": "MDQ6VXNlcjUyNTA0OTA=",
"avatar_url": "https://avatars.githubusercontent.com/u/5250490?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/howardlau1999",
"html_url": "https://github.com/howardlau1999",
"followers_url": "https://api.github.... | [] | closed | false | null | [] | [
"I just realize that I can enable the propagation and add the file handler to logging.root",
"> I just realize that I can enable the propagation and add the file handler to logging.root\r\n\r\nhow? can you please provide the example code, if possible.",
"> > I just realize that I can enable the propagation and ... | 1,614 | 1,694 | 1,614 | NONE | null | # 🚀 Feature request
I want to make the logging utils log to a file in addition to the console. But I can't find an API that lets me add a handler to the logging utils.
| {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10454/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10454/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10453 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10453/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10453/comments | https://api.github.com/repos/huggingface/transformers/issues/10453/events | https://github.com/huggingface/transformers/issues/10453 | 818,565,627 | MDU6SXNzdWU4MTg1NjU2Mjc= | 10,453 | pytorch Albert quantization error | {
"login": "Zjq9409",
"id": 62974595,
"node_id": "MDQ6VXNlcjYyOTc0NTk1",
"avatar_url": "https://avatars.githubusercontent.com/u/62974595?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Zjq9409",
"html_url": "https://github.com/Zjq9409",
"followers_url": "https://api.github.com/users/Zjq940... | [] | closed | false | null | [] | [
"I also meet the bug,I find that self.dense has been through prune_linear_layer() and return a nn.Linear as it should be,\r\n```\r\n>>> m = torch.nn.Linear(1,2)\r\n>>> m.weight.t\r\n<built-in method t of Parameter object at 0x7fcb7c3a45f0>\r\n>>> m.weight.t()\r\ntensor([[-0.0714, 0.7815]], grad_fn=<TBackward>)\r\n... | 1,614 | 1,619 | 1,619 | NONE | null | I use huggingface transformers 'albert_chinese_base',but in pytorch quantization,The following problem occurred:
File "test_simple.py", line 186, in <module>
model_pt_quantized(input_ids=model_inputs["input_ids"], token_type_ids=model_inputs["token_type_ids"], attention_mask=model_inputs["attention_mask"])
Fi... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10453/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10453/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10452 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10452/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10452/comments | https://api.github.com/repos/huggingface/transformers/issues/10452/events | https://github.com/huggingface/transformers/issues/10452 | 818,557,358 | MDU6SXNzdWU4MTg1NTczNTg= | 10,452 | BartForConditionalGeneration breaks with label smoothing loss | {
"login": "mingruimingrui",
"id": 18568364,
"node_id": "MDQ6VXNlcjE4NTY4MzY0",
"avatar_url": "https://avatars.githubusercontent.com/u/18568364?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mingruimingrui",
"html_url": "https://github.com/mingruimingrui",
"followers_url": "https://api.gi... | [] | closed | false | null | [] | [
"Another possible solution would be to change the behavior of `PreTrainedTokenizer.prepare_seq2seq_batch`, by adding something like a `return_decoder_input_ids` flag.\r\n\r\nPros\r\n- Backward compatibility also maintained\r\n- Only a handful of changes has to be made\r\n\r\nCons\r\n- This change can complicate mat... | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.3.3
- The other parameters are irrelevant
### Who can help
@patrickvonplaten @sgugger
## Information
I apologize for not using the provided template for this issue.
By generating entries with `PreTrainedTokenizer.prepare_seq2seq_batch`, collating with ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10452/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10452/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10451 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10451/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10451/comments | https://api.github.com/repos/huggingface/transformers/issues/10451/events | https://github.com/huggingface/transformers/issues/10451 | 818,451,998 | MDU6SXNzdWU4MTg0NTE5OTg= | 10,451 | BART for generating sequence of length more than 1024 tokens | {
"login": "silentghoul-spec",
"id": 58596410,
"node_id": "MDQ6VXNlcjU4NTk2NDEw",
"avatar_url": "https://avatars.githubusercontent.com/u/58596410?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/silentghoul-spec",
"html_url": "https://github.com/silentghoul-spec",
"followers_url": "https://... | [] | closed | false | null | [] | [
"Hi @silentghoul-spec \r\n\r\nfor BART the maximum sequence length is 1024, so it can't process text larger than 1024 tokens.\r\nYou could use the `LED` model for long document summarization, here's a notebook which demonstrates how to use LED https://github.com/patrickvonplaten/notebooks/blob/master/Fine_tune_Long... | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | I was using pretraining code given in transformers/examples/seq2seq to finetune on my custom dataset containing summaries of the text of greater than 1024 tokens. But I am getting an error regarding index out of bounds error. Is it possible to fine-tune BART to generate summaries of more than 1024 tokens? I have added ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10451/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10451/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10450 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10450/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10450/comments | https://api.github.com/repos/huggingface/transformers/issues/10450/events | https://github.com/huggingface/transformers/issues/10450 | 818,271,504 | MDU6SXNzdWU4MTgyNzE1MDQ= | 10,450 | OSError: Error no file named ['pytorch_model.bin', 'tf_model.h5'] When I try to use my model | {
"login": "MLDovakin",
"id": 78375175,
"node_id": "MDQ6VXNlcjc4Mzc1MTc1",
"avatar_url": "https://avatars.githubusercontent.com/u/78375175?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/MLDovakin",
"html_url": "https://github.com/MLDovakin",
"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | [
"Please check if the `pytorch_model.bin` file is available in your cloned repo. I can see that file on the hub, so there might have been some mistake when cloning the repo.",
"@patil-suraj when cloning the repository, this file is located in the folder\r\n",
"This issue has been automatically marked as stale b... | 1,614 | 1,651 | 1,618 | NONE | null | an error occurred while importing my model from a folder. I cloned my repository and wanted to use the model, I got an error
https://huggingface.co/Fidlobabovic/beta-kvantorium-simple-small
Do I need to change files in my repository? What should I fix in code or model files?
#7370
#9667
````
from transformers i... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10450/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10450/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10449 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10449/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10449/comments | https://api.github.com/repos/huggingface/transformers/issues/10449/events | https://github.com/huggingface/transformers/issues/10449 | 818,270,454 | MDU6SXNzdWU4MTgyNzA0NTQ= | 10,449 | pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [1,0,0] Assertion `t >= 0 && t < n_classes` failed. | {
"login": "yigit353",
"id": 852489,
"node_id": "MDQ6VXNlcjg1MjQ4OQ==",
"avatar_url": "https://avatars.githubusercontent.com/u/852489?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/yigit353",
"html_url": "https://github.com/yigit353",
"followers_url": "https://api.github.com/users/yigit35... | [] | closed | false | null | [] | [
"I think this means you have a label outside of boundaries from the error message but I can't be sure: `CUDA error: device-side assert triggered` are very tricky since they are thrown not when they appear but when there is a synchronization between all the CUDA processes.\r\n\r\nThe very best way to debug those err... | 1,614 | 1,614 | 1,614 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.3.3
- Platform: Linux-5.4.0-65-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.9
- PyTorch ver... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10449/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10449/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10448 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10448/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10448/comments | https://api.github.com/repos/huggingface/transformers/issues/10448/events | https://github.com/huggingface/transformers/issues/10448 | 818,261,426 | MDU6SXNzdWU4MTgyNjE0MjY= | 10,448 | When I try to import my model I run into an error "TypeError: PyMetaspace.__new__() got an unexpected keyword argument: str_rep" | {
"login": "MLDovakin",
"id": 78375175,
"node_id": "MDQ6VXNlcjc4Mzc1MTc1",
"avatar_url": "https://avatars.githubusercontent.com/u/78375175?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/MLDovakin",
"html_url": "https://github.com/MLDovakin",
"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | [
"Maybe @n1t0 knows what might be happening here.",
"@n1t0 LysandreJik spoked call you ",
"Dose this problem fixed? I also got the same problem, I trained a SentencePieceBPETokenizer, use save() api to persist it as a tokenizer.json file, but got this error while loading. \r\n\r\nI dig into the rust code, and f... | 1,614 | 1,617 | 1,617 | NONE | null | In the Hugging Face repository I have my own model Fidlobabovic / beta-kvantorium-simple-small
https://huggingface.co/Fidlobabovic/beta-kvantorium-simple-small/tree/main
#7370
#10148
When I try to import it, I get an error. What can I do to fix it? Overwrite model files or rename them? What should I write for ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10448/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10448/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10447 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10447/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10447/comments | https://api.github.com/repos/huggingface/transformers/issues/10447/events | https://github.com/huggingface/transformers/issues/10447 | 818,255,178 | MDU6SXNzdWU4MTgyNTUxNzg= | 10,447 | changing the way checkpoint is done in the new release | {
"login": "dorost1234",
"id": 79165106,
"node_id": "MDQ6VXNlcjc5MTY1MTA2",
"avatar_url": "https://avatars.githubusercontent.com/u/79165106?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dorost1234",
"html_url": "https://github.com/dorost1234",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | [
"I am not sure if I understand this correctly, how would the `Trainer` know if the last model is different from the actual last checkpoint, and if the model is only saved when the best eval accuracy reached, how would you save the last model to `save_path_folder`?\r\n\r\nAlso if you are saving the last model (and o... | 1,614 | 1,619 | 1,619 | NONE | null | Hi
Currently HuggingFace library checks the path for the latest checkpoint and then starts the training from there, this approach is not working due to following reason:
- lets assume you train the model with limit of 1 checkpoint and then you checkpoint only when the best eval accuracy is achieved, then if library l... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10447/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10447/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10446 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10446/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10446/comments | https://api.github.com/repos/huggingface/transformers/issues/10446/events | https://github.com/huggingface/transformers/issues/10446 | 818,248,865 | MDU6SXNzdWU4MTgyNDg4NjU= | 10,446 | AttributeError: 'Trainer' object has no attribute 'log_metrics' | {
"login": "MariaFjodorowa",
"id": 32707120,
"node_id": "MDQ6VXNlcjMyNzA3MTIw",
"avatar_url": "https://avatars.githubusercontent.com/u/32707120?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/MariaFjodorowa",
"html_url": "https://github.com/MariaFjodorowa",
"followers_url": "https://api.gi... | [] | closed | false | null | [] | [
"Hi there. As is mentioned at the very beginning of the [examples README](https://github.com/huggingface/transformers/tree/master/examples#important-note), running the examples requires an install from source.\r\n\r\nIf you want the examples associated with v4.3.3, you can find them [here](https://github.com/huggin... | 1,614 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.3.3
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.7.1+cu101 (True)
- Tensorflow version (GPU?): 2.4.1 (True)
- Using GPU in script?: True
- Using distributed or parallel set-up in script?: False
... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10446/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10446/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10445 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10445/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10445/comments | https://api.github.com/repos/huggingface/transformers/issues/10445/events | https://github.com/huggingface/transformers/pull/10445 | 818,238,354 | MDExOlB1bGxSZXF1ZXN0NTgxNTQwMjI4 | 10,445 | [IBert] Correct link to paper | {
"login": "patrickvonplaten",
"id": 23423619,
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patrickvonplaten",
"html_url": "https://github.com/patrickvonplaten",
"followers_url": "https://... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | MEMBER | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10445/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10445/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10445",
"html_url": "https://github.com/huggingface/transformers/pull/10445",
"diff_url": "https://github.com/huggingface/transformers/pull/10445.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10445.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10444 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10444/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10444/comments | https://api.github.com/repos/huggingface/transformers/issues/10444/events | https://github.com/huggingface/transformers/issues/10444 | 818,182,424 | MDU6SXNzdWU4MTgxODI0MjQ= | 10,444 | TypeError: can only concatenate str (not "int") to str | {
"login": "omerarshad",
"id": 16164105,
"node_id": "MDQ6VXNlcjE2MTY0MTA1",
"avatar_url": "https://avatars.githubusercontent.com/u/16164105?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/omerarshad",
"html_url": "https://github.com/omerarshad",
"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | [
"Hi,\r\n\r\nif the `text_column` and `summary_column` arguments are not specified when running the script, it is assumed that the first column in a csv file contains the full text and the second column the corresponding summaries. From the error message, it seems your csv file has integers in the first column. ",
... | 1,614 | 1,619 | 1,619 | NONE | null | While running run_seq2seq.py for summarization task on my own CSV, i get following error:
All the weights of BartForConditionalGeneration were initialized from the model checkpoint at sshleifer/distilbart-cnn-12-6.
If your task is similar to the task the model of the checkpoint was trained on, you can already us... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10444/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10444/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10443 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10443/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10443/comments | https://api.github.com/repos/huggingface/transformers/issues/10443/events | https://github.com/huggingface/transformers/pull/10443 | 818,169,051 | MDExOlB1bGxSZXF1ZXN0NTgxNDg4MzMy | 10,443 | Adds terms to Glossary | {
"login": "darigovresearch",
"id": 30328618,
"node_id": "MDQ6VXNlcjMwMzI4NjE4",
"avatar_url": "https://avatars.githubusercontent.com/u/30328618?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/darigovresearch",
"html_url": "https://github.com/darigovresearch",
"followers_url": "https://api... | [] | closed | false | null | [] | [] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | # What does this PR do?
Wanted a definition of what a transformer is since it is not in the glossary, @cronoik provided one that required two other terms so this pull request makes those changes so more people can understand if they are new to the field.
Previous discussion can be found here - https://github.com/hu... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10443/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10443/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10443",
"html_url": "https://github.com/huggingface/transformers/pull/10443",
"diff_url": "https://github.com/huggingface/transformers/pull/10443.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10443.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10442 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10442/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10442/comments | https://api.github.com/repos/huggingface/transformers/issues/10442/events | https://github.com/huggingface/transformers/issues/10442 | 818,149,242 | MDU6SXNzdWU4MTgxNDkyNDI= | 10,442 | Bug in Electra Example | {
"login": "david-waterworth",
"id": 5028974,
"node_id": "MDQ6VXNlcjUwMjg5NzQ=",
"avatar_url": "https://avatars.githubusercontent.com/u/5028974?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/david-waterworth",
"html_url": "https://github.com/david-waterworth",
"followers_url": "https://ap... | [] | closed | false | null | [] | [
"Ah, good point! I'll edit it now, thanks for letting us know.",
"Just fixed it in [hf@cf81dc](https://huggingface.co/google/electra-small-discriminator/commit/cf81dc100ac08ff43eb688cb1e3e7d69a822f359), I added you as a co-author too.",
"Thanks @LysandreJik, out of interest did you get the same results as me - ... | 1,614 | 1,614 | 1,614 | NONE | null | The description for Electra (https://huggingface.co/google/electra-small-discriminator) contains code the example below. The last line fails, I think instead of predictions.tolist() it should be predictions.squeeze() as predictions is 1xN
Also the example doesn't seem to detect the corrupted tokens.
```
from tra... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10442/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10442/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10441 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10441/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10441/comments | https://api.github.com/repos/huggingface/transformers/issues/10441/events | https://github.com/huggingface/transformers/issues/10441 | 818,128,276 | MDU6SXNzdWU4MTgxMjgyNzY= | 10,441 | TypeError: __init__() got an unexpected keyword argument 'model' in `run_seq2seq.py` example when using on our own files | {
"login": "amirveyseh",
"id": 7426897,
"node_id": "MDQ6VXNlcjc0MjY4OTc=",
"avatar_url": "https://avatars.githubusercontent.com/u/7426897?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/amirveyseh",
"html_url": "https://github.com/amirveyseh",
"followers_url": "https://api.github.com/users... | [] | closed | false | null | [] | [
"I have the same exact problem. Even if you skip that part, it keeps happening in other parts of the code. It seems that file hasn't been updated with the last changes.",
"any solution for this? issue persists",
"This is because of the old version of `transformers`, upgrading to master should resolve this issue... | 1,614 | 1,614 | 1,614 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.3.3
- Platform: Linux-4.15.0-109-generic-x86_64-with-debian-buster-sid
- Python version: 3.6.13
- PyTorch ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10441/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10441/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10440/comments | https://api.github.com/repos/huggingface/transformers/issues/10440/events | https://github.com/huggingface/transformers/pull/10440 | 818,113,275 | MDExOlB1bGxSZXF1ZXN0NTgxNDQ2MzQw | 10,440 | Checkpoint refactoring for Multiple Models | {
"login": "danielpatrickhug",
"id": 38571110,
"node_id": "MDQ6VXNlcjM4NTcxMTEw",
"avatar_url": "https://avatars.githubusercontent.com/u/38571110?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/danielpatrickhug",
"html_url": "https://github.com/danielpatrickhug",
"followers_url": "https://... | [] | closed | false | null | [] | [
"> Thanks a lot for the PR!\r\n> \r\n> We can do the TF models in another PR, I'm completely fine with that. Regarding your other comments:\r\n> \r\n> * funnel is a special case indeed, so it's fine to leave it as it for now.\r\n> * for squeezebert, you can just use \"squeezebert/squeezebert-uncased\" everywhere\r\... | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | Hi, thank you for providing an example @sgugger
Linked to #10193, this PR refactors the checkpoint names in one private constant.
A couple notes:
- I refactored most of the modeling files, however I excluded the modeling_tf_*.py files for now.
- The bare Distilbert foward pass has two add_code_sample_docstrings d... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10440/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10440/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10440",
"html_url": "https://github.com/huggingface/transformers/pull/10440",
"diff_url": "https://github.com/huggingface/transformers/pull/10440.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10440.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10439 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10439/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10439/comments | https://api.github.com/repos/huggingface/transformers/issues/10439/events | https://github.com/huggingface/transformers/issues/10439 | 818,056,928 | MDU6SXNzdWU4MTgwNTY5Mjg= | 10,439 | Option to output "test_preds_seq2seq.txt" text file with each checkpoint generated in "run_seq2seq.py" | {
"login": "kingpalethe",
"id": 11775831,
"node_id": "MDQ6VXNlcjExNzc1ODMx",
"avatar_url": "https://avatars.githubusercontent.com/u/11775831?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kingpalethe",
"html_url": "https://github.com/kingpalethe",
"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | [
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,614 | 1,619 | 1,619 | NONE | null | I had previously raised an issue in a mistaken belief that this functionality _used_ to exist in Transformers.
Current behavior: The "test_preds_seq2seq.txt" file is created once, at the end of the last epoch.
For many Seq2Seq tasks, at least for mine, it would be very useful to get these predictions at each che... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10439/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10439/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10438/comments | https://api.github.com/repos/huggingface/transformers/issues/10438/events | https://github.com/huggingface/transformers/issues/10438 | 818,044,874 | MDU6SXNzdWU4MTgwNDQ4NzQ= | 10,438 | Setting max_length for model training produces error | {
"login": "neel04",
"id": 11617870,
"node_id": "MDQ6VXNlcjExNjE3ODcw",
"avatar_url": "https://avatars.githubusercontent.com/u/11617870?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/neel04",
"html_url": "https://github.com/neel04",
"followers_url": "https://api.github.com/users/neel04/fo... | [] | closed | false | null | [] | [
"The RoBERTa model takes maximum lengths of 512 tokens, and you are giving it inputs padded (or truncated) to a length of 4072. This is why you get this error.",
"Hmm... well, I was able to train and infer with `roberta-base` without any errors (though the output was very bad).\r\nIt seems that the only way to pr... | 1,614 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.3.3
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.7.1+cu101 (False)
- Tensorflow version (GPU?): 2.4.1 (False)
- Using GPU in script?: True/False
- Using distributed or parallel set-up in script?:... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10438/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10438/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10437/comments | https://api.github.com/repos/huggingface/transformers/issues/10437/events | https://github.com/huggingface/transformers/issues/10437 | 817,975,503 | MDU6SXNzdWU4MTc5NzU1MDM= | 10,437 | [Trainer] add --max_train_samples --max_val_samples --max_test_samples | {
"login": "stas00",
"id": 10676103,
"node_id": "MDQ6VXNlcjEwNjc2MTAz",
"avatar_url": "https://avatars.githubusercontent.com/u/10676103?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stas00",
"html_url": "https://github.com/stas00",
"followers_url": "https://api.github.com/users/stas00/fo... | [
{
"id": 2155169140,
"node_id": "MDU6TGFiZWwyMTU1MTY5MTQw",
"url": "https://api.github.com/repos/huggingface/transformers/labels/trainer",
"name": "trainer",
"color": "2ef289",
"default": false,
"description": ""
}
] | closed | false | {
"login": "bhadreshpsavani",
"id": 26653468,
"node_id": "MDQ6VXNlcjI2NjUzNDY4",
"avatar_url": "https://avatars.githubusercontent.com/u/26653468?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bhadreshpsavani",
"html_url": "https://github.com/bhadreshpsavani",
"followers_url": "https://api... | [
{
"login": "bhadreshpsavani",
"id": 26653468,
"node_id": "MDQ6VXNlcjI2NjUzNDY4",
"avatar_url": "https://avatars.githubusercontent.com/u/26653468?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bhadreshpsavani",
"html_url": "https://github.com/bhadreshpsavani",
"follower... | [
"Yes, that would be a nice refactor in `Trainer`! I believe this can be done when we create the dataloaders, to keep the original datasets untouched.",
"@bhadreshpsavani, would you like to try this slightly more complex task? \r\n\r\nStep 1 is to take `run_seq2seq.py` and move the functionality that handles `--ma... | 1,614 | 1,615 | 1,615 | CONTRIBUTOR | null | As we were planning to add `--max_train_samples --max_val_samples --max_test_samples` to all examples https://github.com/huggingface/transformers/issues/10423, I thought is there any reason why we don't expand the Trainer to handle that?
It surely would be useful to be able to truncate the dataset at the point of... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10437/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10437/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10436 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10436/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10436/comments | https://api.github.com/repos/huggingface/transformers/issues/10436/events | https://github.com/huggingface/transformers/pull/10436 | 817,968,027 | MDExOlB1bGxSZXF1ZXN0NTgxMzY1NDQw | 10,436 | updated logging and saving metrics | {
"login": "bhadreshpsavani",
"id": 26653468,
"node_id": "MDQ6VXNlcjI2NjUzNDY4",
"avatar_url": "https://avatars.githubusercontent.com/u/26653468?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/bhadreshpsavani",
"html_url": "https://github.com/bhadreshpsavani",
"followers_url": "https://api... | [] | closed | false | null | [] | [
"Please run `make style` and commit to appease to `check_code_quality` CI job"
] | 1,614 | 1,614 | 1,614 | CONTRIBUTOR | null | # What does this PR do?
I have updated redundant code for saving and logging metrics in the example scripts
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10436/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10436/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/transformers/pulls/10436",
"html_url": "https://github.com/huggingface/transformers/pull/10436",
"diff_url": "https://github.com/huggingface/transformers/pull/10436.diff",
"patch_url": "https://github.com/huggingface/transformers/pull/10436.patch",
"merged_at... |
https://api.github.com/repos/huggingface/transformers/issues/10435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10435/comments | https://api.github.com/repos/huggingface/transformers/issues/10435/events | https://github.com/huggingface/transformers/issues/10435 | 817,919,300 | MDU6SXNzdWU4MTc5MTkzMDA= | 10,435 | Confused about the time of forword | {
"login": "dy1998",
"id": 27282615,
"node_id": "MDQ6VXNlcjI3MjgyNjE1",
"avatar_url": "https://avatars.githubusercontent.com/u/27282615?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dy1998",
"html_url": "https://github.com/dy1998",
"followers_url": "https://api.github.com/users/dy1998/fo... | [] | closed | false | null | [] | [
"I assume that that's how Python works, if you run the same thing again, the result will be cached. If you had provided different inputs, then the time would be the same. ",
"> I assume that that's how Python works, if you run the same thing again, the result will be cached. If you had provided different inputs, ... | 1,614 | 1,619 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:3.0.0
- Platform: ubuntu 1604
- Python version: 3.7
- PyTorch version (GPU?):1.2.0 gpu
- Tensorflow version ... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10435/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10435/timeline | completed | null | null |
https://api.github.com/repos/huggingface/transformers/issues/10434 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10434/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10434/comments | https://api.github.com/repos/huggingface/transformers/issues/10434/events | https://github.com/huggingface/transformers/issues/10434 | 817,886,685 | MDU6SXNzdWU4MTc4ODY2ODU= | 10,434 | TF Dataset Pipeline throws `RuntimeError: Already borrowed` when tokenizing | {
"login": "DarshanDeshpande",
"id": 39432636,
"node_id": "MDQ6VXNlcjM5NDMyNjM2",
"avatar_url": "https://avatars.githubusercontent.com/u/39432636?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/DarshanDeshpande",
"html_url": "https://github.com/DarshanDeshpande",
"followers_url": "https://... | [] | closed | false | null | [] | [
"Hello!\r\n\r\nI do not suggest to convert your sentence on the fly but you should do it beforehand. Here the issue you get is because of `sentence = sentence.numpy().decode('utf-8')`, your sentences should not be loaded in a tf datasets before to be processed.\r\n\r\nI recommend you to read your file normally, con... | 1,614 | 1,614 | 1,614 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: master (4.4.0dev0)
- Platform: Google colab
- Python version: 3.7
- PyTorch version (GPU?): None
- Tensorfl... | {
"url": "https://api.github.com/repos/huggingface/transformers/issues/10434/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/transformers/issues/10434/timeline | completed | null | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.