About the error report of KERAS word vector

KERAS rookie, did the neural network, found that always reported an error, tried for a few days and did not find out the reason, please give me some advice

import pandas as pd
import numpy as np
import keras
import sklearn
from sklearn import metrics
from sklearn.model_selection import train_test_split


data=pd.read_csv(r"E:\Kaggle\Quora_Insincere_Questions_Classification\train.csv")
x=data["question_text"]
y=data["target"]
train_x,text_x,train_y,text_y=train_test_split(x,y,test_size=0.1,random_state=2019)
tokenizer=keras.preprocessing.text.Tokenizer(num_words=5000000)
tokenizer.fit_on_texts(list(train_x))
train_x=tokenizer.texts_to_sequences(train_x)
text_x=tokenizer.texts_to_sequences(text_x)
train_x=keras.preprocessing.sequence.pad_sequences(train_x,maxlen=100,padding="post")
text_x=keras.preprocessing.sequence.pad_sequences(text_x,maxlen=100,padding="post")


xor=keras.models.Sequential()
xor.add(keras.layers.embeddings.Embedding(input_dim=100,output_dim=1,mask_zero=False))
xor.add(keras.layers.Dense(100000,input_dim=1))
xor.add(keras.layers.pooling.GlobalMaxPool1D())
xor.add(keras.layers.Activation("relu"))
xor.add(keras.layers.Dense(2,activation="sigmoid"))
xor.add(keras.layers.Dense(2))
xor.add(keras.layers.Dense(1))
xor.compile(loss="binary_crossentropy",optimizer="adam",metrics=["accuracy"])
print(xor.summary())

history=xor.fit(train_x,train_y,epochs=100,verbose=0)
score=xor.evaluate(train_x,train_y)
print(score)

contents of
C:UsershaseeAppDataLocalProgramsPythonPython36python.exe E:/pg/Kaggle/Quora/text10.py
Using TensorFlow backend.

Total params: 400111
Trainable params: 400111
Non-trainable params: 0
_ strong >

history=xor.fit(train_x,train_y,epochs=100,verbose=0)

File "C:UsershaseeAppDataLocalProgramsPythonPython36libsite-packageskerasenginetraining.py", line 1039, in fit

validation_steps=validation_steps)

File "C:UsershaseeAppDataLocalProgramsPythonPython36libsite-packageskerasenginetraining_arrays.py", line 199, in fit_loop

outs = f(ins_batch)

File "C:UsershaseeAppDataLocalProgramsPythonPython36libsite-packageskerasbackendtensorflow_backend.py", line 2715, in call

return self._call(inputs)

File "C:UsershaseeAppDataLocalProgramsPythonPython36libsite-packageskerasbackendtensorflow_backend.py", line 2675, in _ call

fetched = self._callable_fn(*array_vals)

File "C:UsershaseeAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonclientsession.py", line 1439, in call

run_metadata_ptr)

File "C:UsershaseeAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonframeworkerrors_impl.py", line 528, in exit

c_api.TF_GetCode(self.status.status))

tensorflow.python.framework.errors_impl.InvalidArgumentError: indices [0jue 2] = 2087 is not in [0100)

[[{{node embedding_1/embedding_lookup}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@training/Adam/Assign_2"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](embedding_1/embeddings/read, embedding_1/Cast, training/Adam/gradients/embedding_1/embedding_lookup_grad/concat/axis)]]

Process finished with exit code 1

Python

Mar.31,2022