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All Questions

1 vote
0 answers
42 views

MusicVAE fine-tune pre-trained model?

Is there a way to start training MusicVAE from existing pre-trained models from Magenta? https://magenta.tensorflow.org/music-vae https://github.com/magenta/magenta/tree/main/magenta/models/music_vae#...
Denis Hnidenko's user avatar
0 votes
0 answers
14 views

FineTuning Resnet50 for a binary classification problem and I got different validation accuracy using classification_report and model.evaluate

I'm working on a binary classification problem using the pre-trained model Resnet50, I got a good result on training and validation accuracy using model.evaluate Training Data : loss: 0.0271 accuracy: ...
Hanane's user avatar
  • 11
1 vote
1 answer
969 views

How to fine-tune gpt2 with a custom set of unlabelled document

I'm newbie to GPT2 fine-tuning. My goal is to fine-tune GPT-2 (or BERT) on a my own set of document, in order to be able to query the bot on a topic contained in these documents, and receive an answer....
solecuore's user avatar
0 votes
1 answer
982 views

Fine tuning freezing weights nnUNet

Good morning, I've followed the instructions in this github issue: https://github.com/MIC-DKFZ/nnUNet/issues/1108 to fine-tune an nnUNet model (pyTorch) on a pre-trained one, but this method retrain ...
Vibe98's user avatar
  • 3
0 votes
1 answer
997 views

How to improve an accuracy of validation and test of my model of Transfer Learning BERT

I trained my BERT model, then I get 99% in the training part whoever in part of validation I get just 80%, so how can I improve my validation accuracy? Code : def build_model(self, n_categories): ...
o akka's user avatar
  • 81
0 votes
1 answer
785 views

Huggingface - Finetuning in Tensorflow with custom datasets

I have been battling with my own implementation on my dataset with a different transformer model than the tutorial, and I have been getting this error AttributeError: 'NoneType' object has no ...
Olive Yew's user avatar
  • 361
1 vote
0 answers
271 views

Proper use of BatchNormalization when Fine-Tunning

I`m using keras and TF 2.0 I'm trying to implement ResNet50 pre-trained on ImageNet to a different problem (pneumonia binary classification) and I've found that there is some discussion online about ...
Luis Fernández's user avatar
0 votes
1 answer
1k views

Fine-tuning with a very low learning rate. Any sign that something is not good?

I have working with deep reinforcement learning and in the literature, usually the learning rates are lower than I found in other settings. My model is the following one: def create_model(self): ...
HenDoNR's user avatar
  • 89