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from pyabsa import ModelSaveOption, DeviceTypeOption
import warnings
warnings.filterwarnings("ignore")
config.batch_size = 16
config.patience = 999
config.log_step = -1
config.seed = [1, 2, 3]
config.verbose = False # If verbose == True, PyABSA will output the model structure and several processed data examples
config.notice = (
"This is an training example for aspect term extraction" # for memos usage
)
trainer = ASTE.ASTETrainer(
config=config,
dataset=dataset,
#from_checkpoint="english", # if you want to resume training from our pretrained checkpoints, you can pass the checkpoint name here
auto_device=DeviceTypeOption.AUTO, # use cuda if available
checkpoint_save_mode=ModelSaveOption.SAVE_MODEL_STATE_DICT, # save state dict only instead of the whole model
load_aug=False, # there are some augmentation dataset for integrated datasets, you use them by setting load_aug=True to improve performance
)
This code is from /PyABSA-2/examples-v2/aspect_sentiment_triplet_extration/Aspect_Sentiment_Triplet_Extraction.ipynb
Full Console Output (Required)
[2023-09-25 16:02:59] (2.3.3) Set Model Device: cuda:0
[2023-09-25 16:02:59] (2.3.3) Device Name: NVIDIA RTX A5000
'(MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /yangheng/deberta-v3-base-absa-v1.1/resolve/main/config.json (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f089d3bf100>, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: a4f17744-40ad-4187-94e4-cb623d1d8900)')' thrown while requesting HEAD https://huggingface.co/yangheng/deberta-v3-base-absa-v1.1/resolve/main/config.json
2023-09-25 16:03:19,652 INFO: PyABSA version: 2.3.3
2023-09-25 16:03:19,656 INFO: Transformers version: 4.33.1
2023-09-25 16:03:19,657 INFO: Torch version: 1.13.1+cu117+cuda11.7
2023-09-25 16:03:19,658 INFO: Device: NVIDIA RTX A5000
2023-09-25 16:03:19,659 INFO: Restaurant14 in the trainer is not a exact path, will search dataset in current working directory
2023-09-25 16:03:19,681 INFO: You can set load_aug=True in a trainer to augment your dataset (English only yet) and improve performance.
'(MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /yangheng/deberta-v3-base-absa-v1.1/resolve/main/tokenizer_config.json (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f089d3c2a30>, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: 3512b2dd-457f-4528-9674-0f94ea3e2d98)')' thrown while requesting HEAD https://huggingface.co/yangheng/deberta-v3-base-absa-v1.1/resolve/main/tokenizer_config.json
'(MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /yangheng/deberta-v3-base-absa-v1.1/resolve/main/config.json (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f089d3c2d30>, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: 14cb6901-838c-489d-ab73-6e4925bf1d18)')' thrown while requesting HEAD https://huggingface.co/yangheng/deberta-v3-base-absa-v1.1/resolve/main/config.json
Describe the bug
OSError: We couldn't connect to 'https://huggingface.co/' to load this file, couldn't find it in the cached files and it looks like yangheng/deberta-v3-base-absa-v1.1 is not the path to a directory containing a file named config.json.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.
Expected behavior
I have downloaded the deberta-v3-base-absa-v1.1 file from the website but don't know which folder to put in to run properly.
Screenshots
![e764ab08be77a853d980a4d5b1a6d07](https://github.com/yangheng95/PyABSA/assets/128564084/dec1dae6-751b-416b-9c7e-ae4f2a58b7f2)
![e764ab08be77a853d980a4d5b1a6d07](https://github.com/yangheng95/PyABSA/assets/128564084/24267df1-666f-4433-a14f-c91a71aeb0f7)
![950356886c5c4b649d48fd60efdb4ae](https://github.com/yangheng95/PyABSA/assets/128564084/e3d2735b-38d7-475c-a01b-b425bcf996da)
Thank you very much for helping me solve the problem!
The text was updated successfully, but these errors were encountered:
Please check your downloaded checkpoint, there should be config files and pytorch_model.bin, etc.
Then place the folder in the same path with the training script (*.py) and set config.pretrained_bert='path/to/checkpoint'
Please provide the REQUIRED information. Otherwise, It is almost impossible to locate the problem. DO NOT CHANGE THE FORM.
PYABSA Version (Required)
Code To Reproduce (Required)
This code is from /PyABSA-2/examples-v2/aspect_sentiment_triplet_extration/Aspect_Sentiment_Triplet_Extraction.ipynb
Full Console Output (Required)
Describe the bug
Expected behavior
The text was updated successfully, but these errors were encountered: