fasttext_meta.py

meta_hyper = {
    "vector_size": 192, # size of embedding 
    "alpha": 0.025, # learning rate
    "window": 5,
    "min_freq" : 5,
    "epochs": 300, # number of training epochs
    "vocab_size": len(set([*td for td in tokenized_data])), #size of vocabulary
    "data_description": "Add your description here",
    "data_size": len(tokenized_data),
    "tokens_number": len([*td for td in tokenized_data]),
    "CPU": 8
}