Comments (4)
Why did I start training from epoch=96 after loading the pre-trained model to start training? Thank you
This happens when you use a checkpoint, epoch=96 is most likely the epoch where the pre-trained model got the best weights.
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It is hard to tell from just one image. Maybe you can tell me the hyperparameters you used in training and how many epochs the model was trained on. Furthermore, there might be a natural variance in the weights during training, so be sure you are testing the best model according to the validation data.
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The parameters have not changed, I changed the batch_size to 2, epoch to 200, and you give 4 and 100.
from tsformer-vo.
Why did I start training from epoch=96 after loading the pre-trained model to start training? Thank you
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Related Issues (14)
- input diemension HOT 2
- Dataset indexing issues HOT 1
- 06 sequence HOT 2
- GPU HOT 2
- An error occurs in pretrained_ViT: True HOT 6
- window_sizw HOT 8
- To achieve results more closely aligned with the paper HOT 2
- modify training data ? HOT 1
- Can I provide the weights of the trained model? HOT 4
- 7DoF and 6DoF HOT 9
- Thank you so much HOT 1
- camera intrinsic parameters HOT 5
- How can get the value of undo normalization step in plot_results.py HOT 1
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