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View Code? Open in Web Editor NEWBERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
License: GNU Affero General Public License v3.0
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
License: GNU Affero General Public License v3.0
Hi,
I want to ask about intent label size in PhoATIS dataset, in paper you have shown that PhoATIS consists of 28 intent labels. Is this the size of the intent label in the training set or on whole dataset (including dev set and test set) ?
Traceback (most recent call last):
File "main.py", line 139, in
main(args)
File "main.py", line 11, in main
tokenizer = load_tokenizer(args)
File "/usr/local/xww/articles/codes/JointIDSF-main/utils.py", line 43, in load_tokenizer
return MODEL_CLASSES[args.model_type][2].from_pretrained(args.model_name_or_path)
File "/home/slave4/anaconda3/envs/wpy38/lib/python3.8/site-packages/transformers/models/auto/tokenization_auto.py", line 345, in from_pretrained
config = AutoConfig.from_pretrained(pretrained_model_name_or_path, **kwargs)
File "/home/slave4/anaconda3/envs/wpy38/lib/python3.8/site-packages/transformers/models/auto/configuration_auto.py", line 349, in from_pretrained
config_dict, _ = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
File "/home/slave4/anaconda3/envs/wpy38/lib/python3.8/site-packages/transformers/configuration_utils.py", line 399, in get_config_dict
resolved_config_file = cached_path(
File "/home/slave4/anaconda3/envs/wpy38/lib/python3.8/site-packages/transformers/file_utils.py", line 1077, in cached_path
output_path = get_from_cache(
File "/home/slave4/anaconda3/envs/wpy38/lib/python3.8/site-packages/transformers/file_utils.py", line 1263, in get_from_cache
raise ValueError(
ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on 。 I want to know how to solve this problem?thank you!
Hello VinAIResearch Team,
I tried to download your model checkpoints of JointBERT+CRF and JointIDSF, but i get a error access denied to https://public.vinai.io/ (ERROR 403: Forbidden)
Mình đang muốn so sánh kết quả chạy của paper với các paper khác, bên bạn có thể share 5 seed các bạn chạy để ra kết quả như trong paper được không ? (các tham số setup chạy đều giữ nguyên trong cả 5 seed đúng không bạn), mình cảm ơn các bạn nhiều
I downloaded your model checkpoints, and ran predict.py with these checkpoints, but I got some errors:
Did i miss any step before run predict.py ?
Thank you for your great contribution!
I using this command to infer the model:
python predict.py --input_file input.txt \
--output_file predictions.txt \
--model_dir my_model-CRF/3e-5/0.6/100
How can i get the confidence score of each slot in the result file?
Hi, I got the following error while running the run_jointIDSF_PhoBERTencoder.sh
:
404 Client Error: Not Found for url: https://huggingface.co/JointBERT-CRF_PhoBERTencoder/3e-5/0.6/100/resolve/main/config.json
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/transformers/configuration_utils.py", line 406, in get_config_dict
use_auth_token=use_auth_token,
File "/usr/local/lib/python3.7/dist-packages/transformers/file_utils.py", line 1085, in cached_path
local_files_only=local_files_only,
File "/usr/local/lib/python3.7/dist-packages/transformers/file_utils.py", line 1215, in get_from_cache
r.raise_for_status()
File "/usr/local/lib/python3.7/dist-packages/requests/models.py", line 941, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/JointBERT-CRF_PhoBERTencoder/3e-5/0.6/100/resolve/main/config.json
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "main.py", line 139, in <module>
main(args)
File "main.py", line 17, in main
trainer = Trainer(args, train_dataset, dev_dataset, test_dataset)
File "/content/JointIDSF/trainer.py", line 37, in __init__
slot_label_lst=self.slot_label_lst,
File "/usr/local/lib/python3.7/dist-packages/transformers/modeling_utils.py", line 959, in from_pretrained
**kwargs,
File "/usr/local/lib/python3.7/dist-packages/transformers/configuration_utils.py", line 360, in from_pretrained
config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/transformers/configuration_utils.py", line 418, in get_config_dict
raise EnvironmentError(msg)
OSError: Can't load config for 'JointBERT-CRF_PhoBERTencoder/3e-5/0.6/100'. Make sure that:
- 'JointBERT-CRF_PhoBERTencoder/3e-5/0.6/100' is a correct model identifier listed on 'https://huggingface.co/models'
- or 'JointBERT-CRF_PhoBERTencoder/3e-5/0.6/100' is the correct path to a directory containing a config.json file
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