Comments (4)
MahmoudWahdan
commented on May 25, 2024
Hi @jvence did you add new label?
It seems to me that you added new labels and there is a bug in incremental training that doesn't use the saved tag/intents vectorizers.
But anyway adding new labels or tags should train the model from the beginning, since it is a different architecture.
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jvence
commented on May 25, 2024
Yes I did add new labels. Thank you for letting me know. BTW amazing job on the project. It's come such a long way. HF support is fantastic.
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MahmoudWahdan
commented on May 25, 2024
Thanks @jvence for your great encouraging words.
BTW you pointed me on a bug as described in my first comment. now it's fixed a886e6f
If you try the same experiment it will give you an exception in encoding tags or intents.
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jvence
commented on May 25, 2024
That was quick ;-) Thanks for the amazing work.
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Related Issues (20)
- Add support to Joint trans model in bert_nlu_basic_api.py HOT 1
- Cannot load huggingface model HOT 2
- Difficulty in TFLite Conversion HOT 2
- Make first version of dialog nlu library HOT 1
- Support tflite conversion and serving HOT 4
- Typo error in bert_nlu_basic_api.py HOT 1
- ModuleNotFoundError HOT 6
- Add unit tests HOT 4
- pip install . doesnt work well HOT 2
- # create a joint NLU model from configurations nlu_model = TransformerNLU.from_config(config) error HOT 3
- Support TensorRT conversion and serving feature HOT 3
- Add examples notebooks HOT 1
- Provide documentation
- unexpected keyword argument 'use_cdn' error HOT 5
- Prediction function for tflite model not working HOT 7
- Can not import BertCrfNLU HOT 4
- Add Arabic NLU Dataset and examples HOT 2
- islamic dataset HOT 1
- Way lower accuracy than example notebooks HOT 1
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