The pretrained embedding was trained on a vocab of 114044 unique words.
But your embedding layer was be initialised for a vocab of 426 words.
I see three possible solutions…

Initialise the embedding layer for a vocab of 114044 and make sure that the 426 words of your new dataset use the word indices from the 114044 word vocabulary.
Extract the embedding data for those 426 words from the 114044 word pretrained embedding.
Train new embeddings