Comments (2)
PiotrCzapla
commented on August 12, 2024
I've noticed that it is due to the changes to the fastai, I will push a fix soon enough, stay tuned
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abedkhooli
commented on August 12, 2024
Great. I think the fix did it. I managed to test pretrain_lm on Arabic wiki tokens. The model (only 1 cycle) was read successfully by fastai's language_model_learner (implemented IMDB sample lesson - using machine translation to convert texts to Arabic). Will work on train_clas next.
As for drop_mult, may be it can be passed as a hyberparameter (the 0.1 default fits large tokens).
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Related Issues (20)
- Different size of CLS unsupervised data between .csv and original .xml files HOT 1
- Multifit inference problem HOT 2
- Training custom classifier HOT 1
- Specifying a validation set HOT 1
- Problems with reproducing zero-shot learning results HOT 2
- Where can I find the dataset de.train.csv? HOT 3
- Kernel restarted HOT 1
- Saliency maps
- Tokenizer HOT 1
- Get activations of a specific layer of the multifit model
- Missing File in CLS-DE.ipynb HOT 1
- Always labels are tokenizing instead of text column, Kindly fix the issue facing HOT 1
- Download music/books data in german version
- OOM during finetuning
- File exists but it doesn't found it!!!!! HOT 1
- fp16
- Label_for_lm() takes too much time!
- multifit does'nt work on Google Colab HOT 4
- Port to Fastai 2 HOT 1
- Create classifier with fastai v1.0
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