model.load_weights('models/checkpoint') please help with this error

[uveshz]

ValueError Traceback (most recent call last)
Cell In[86], line 1
----> 1 model.load_weights('models/checkpoint')

File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\utils\traceback_utils.py:70, in filter_traceback..error_handler(*args, **kwargs)
67 filtered_tb = _process_traceback_frames(e.traceback)
68 # To get the full stack trace, call:
69 # tf.debugging.disable_traceback_filtering()
---> 70 raise e.with_traceback(filtered_tb) from None
71 finally:
72 del filtered_tb

File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\optimizers\optimizer.py:147, in _BaseOptimizer._create_or_restore_slot_variable(self, **kwargs)
146 def _create_or_restore_slot_variable(self, **kwargs):
--> 147 raise ValueError(
148 "You are trying to restore a checkpoint from a legacy Keras "
149 "optimizer into a v2.11+ Optimizer, which can cause "
150 "errors. Please update the optimizer referenced in your code "
151 "to be an instance of "
152 "tf.keras.optimizers.legacy.Optimizer, e.g.: "
153 f"tf.keras.optimizers.legacy.{self.__class__.__name__}."
154 )

ValueError: You are trying to restore a checkpoint from a legacy Keras optimizer into a v2.11+ Optimizer, which can cause errors. Please update the optimizer referenced in your code to be an instance of tf.keras.optimizers.legacy.Optimizer, e.g.: tf.keras.optimizers.legacy.Adam.

[ronaktawde]

For this particular error I reinstalled the libraries with specific versions
opencv-python==4.6.0.66 tensorflow==2.10.1 imageio==2.23.0 matplotlib==3.6.2 gdown==4.6.0
as per video instructions.
and write code as model.load_weights('./models/checkpoint') ## "." is missing

[JainishaPathak]

For this particular error I reinstalled the libraries with specific versions opencv-python==4.6.0.66 tensorflow==2.10.1 imageio==2.23.0 matplotlib==3.6.2 gdown==4.6.0 as per video instructions. and write code as model.load_weights('./models/checkpoint') ## "." is missing

Thank you so much . @ronaktawde .
"Could you please share the achieved accuracy for this model?

[barj2129-blip]

if you've loaded the checkpoints , you'll notice a checkpoint file with the ext of data-00000-of-00001

from
https://www.tensorflow.org/tutorials/keras/save_and_load

"If you are training a model on a single machine, you'll have one shard with the suffix: .data-00000-of-00001"

Hence, the extracted checkpoint file that you downloaded is somewhat "active", so just save it using the following command.

model.save_weights('./models/checkpoint.weights.h5')

then just reload and voila.

model.load_weights('./models/checkpoint.weights.h5')