-
Notifications
You must be signed in to change notification settings - Fork 62
Open
Description
After distillation, the logs of training a student model is very large. you can find about model here
https://huggingface.co/deepset/gelectra-large
i am following distillation as following
https://kd-lib.readthedocs.io/en/latest/usage/tutorials/VanillaKD.html
Epoch: 10, Loss: 2242.5531675815582, Accuracy: 0.32735324814532735
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 11, Loss: 2242.59808665514, Accuracy: 0.3273814560943274
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 12, Loss: 2242.5806131362915, Accuracy: 0.3273814560943274
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 13, Loss: 2242.5909256339073, Accuracy: 0.3273814560943274
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 14, Loss: 2242.556157052517, Accuracy: 0.3273814560943274
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 15, Loss: 2242.602696120739, Accuracy: 0.3274284693426608
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 16, Loss: 2242.567252278328, Accuracy: 0.3273814560943274
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 17, Loss: 2242.5414638519287, Accuracy: 0.3273814560943274
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 18, Loss: 2242.5438897013664, Accuracy: 0.3273814560943274
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 19, Loss: 2242.551034271717, Accuracy: 0.32739085874399404
--------------------------------------------------------------------------------
Validation Accuracy: 0.32513445409755914
Epoch: 20, Loss: 2242.530257344246, Accuracy: 0.3273814560943274
Metadata
Metadata
Assignees
Labels
No labels