Open amirhnazerii opened 6 months ago
Hi @amirhnazerii, as we discussed in our call, what we are doing with the model isn't quite fine-tuning - we are training the entire model from pretrained weights with no frozen weights.
For the sake of completeness, these weights are for class 1, which we have defined as drainage crossings:
The result of checkpoint['model']['class_embed.weight'].size()
is torch.Size([92, 256])
I have finetuned the model for 10 epochs. But it seems like the loss do not converge.
Would you please share the results of the script below with me: checkpoint['model']['class_embed.weight'] & checkpoint['model']['class_embed.weight'].size()