multi-label-sentiment-classifier
ganbert-pytorch
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| multi-label-sentiment-classifier | ganbert-pytorch | |
|---|---|---|
| 1 | 1 | |
| 17 | 88 | |
| - | - | |
| 1.8 | 0.0 | |
| about 3 years ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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multi-label-sentiment-classifier
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Training a Multi-Label Emotion Classifier with Tez and PyTorch to detect +20 different emotions
code: https://github.com/ahmedbesbes/multi-label-sentiment-classifier
ganbert-pytorch
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GAN-BERT to resolve class imbalance; error in the / my code. Any ideas how to resolve this?
I'm sorry to ask such an oddly specific question. I am following Danilo Croce's git page for implementing GAN-BERT with PyTorch & Transformers: Link. The training gets all the way to the end of the first epoch, but before it completes, sends out an error in the last batch (e.g. it occurs on batch 1,275 of 1,275):
What are some alternatives?
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Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).