Comments (3)
Google colab should work fine for training this model. My advice would be to try that if local GPU is causing issues.
from paraphrase-any-question-with-t5-text-to-text-transfer-transformer-.
I have tried on google colab but its not working there.
Can you please share your google colab with this code so we can check that where we are getting wrong.
from paraphrase-any-question-with-t5-text-to-text-transfer-transformer-.
Mostly there might be memory-related issues of GPU. Try to reduce batch size etc.
Check few t5-finetuning colab notebooks like this one -
https://colab.research.google.com/drive/176NSaYjc2eeI-78oLH_F9-YV3po3qQQO?usp=sharing#scrollTo=HVxGfmEMCKs_
from paraphrase-any-question-with-t5-text-to-text-transfer-transformer-.
Related Issues (13)
- Exporting the model HOT 5
- logging is not happening
- Code getting stuck while generating paraphrases for more than 2 lakh sentences.
- Different reactions on Google Colab and local PC HOT 1
- Unable to adapt into multi-gpu training.
- t5-base model download HOT 5
- Failed to run train.py HOT 2
- __init__() got an unexpected keyword argument 'early_stop_callback'
- getting error in train.py HOT 4
- Model seems to perform tasks other than paraphrasing too.
- Determine probability of two texts being paraphrases of each other? HOT 1
- multilingual version
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from paraphrase-any-question-with-t5-text-to-text-transfer-transformer-.