————————————————————————— InvalidArgumentError Traceback (most recent call last) Cell In[194], line 35 32 model.compile(optimizer=’adam’, loss=’sparse_categorical_crossentropy’, metrics=[‘accuracy’]) 34 # モデルのトレーニング —> 35 history = model.fit(X_train_scaled, y_train, epochs=10, batch_size=32, validation_data=(X_test_scaled, y_test)) 37 # テストデータでの予測と評価 38 y_pred = model.predict_classes(X_test_scaled) File /home/share/temp/venv/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py:70, in filter_traceback.<locals>.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 /home/share/temp/venv/lib/python3.8/site-packages/tensorflow/python/eager/execute.py:53, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name) 51 try: 52 ctx.ensure_initialized() —> 53 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, 54 inputs, attrs, num_outputs) 55 except core._NotOkStatusException as e: 56 if name is not None: … File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/backend.py”, line 5762, in sparse_categorical_crossentropy res = tf.nn.sparse_softmax_cross_entropy_with_logits( Node: ‘sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits’ Received a label value of 5 which is outside the valid range of [0, 1). Label values: 2 2 1 0 0 2 2 0 1 1 4 1 0 0 2 2 3 0 5 0 0 4 3 4 0 1 1 3 0 1 3 2 [[{{node sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits}}]] [Op:__inference_train_function_81794]