————————————————————————— InvalidArgumentError Traceback (most recent call last) Cell In[232], line 42 39 model.compile(optimizer=’adam’, loss=’sparse_categorical_crossentropy’, metrics=[‘accuracy’]) 41 # モデルのトレーニング —> 42 model.fit(X_train, y_train, epochs=10, batch_size=32, validation_data=(X_test, y_test)) 44 # モデルの評価 45 loss, accuracy = model.evaluate(X_test, y_test) 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 160 which is outside the valid range of [0, 6). Label values: 100 60 100 100 120 80 60 60 60 120 60 120 160 120 60 60 60 100 60 100 80 100 60 60 100 160 80 100 60 60 160 60 [[{{node sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits}}]] [Op:__inference_train_function_166480]