configuration.py

from transformers import PretrainedConfig


class BertABSAConfig(PretrainedConfig):
    model_type = "BertABSAForSequenceClassification"

    def __init__(self,
                 num_classes=3,
                 embed_dim=768,
                 num_layers=12,
                 dropout_rate=0.1,
                 fc_hidden=256,
                 hidden_dim_lstm=128,
                 **kwargs):
        super().__init__(**kwargs)
        self.num_classes = num_classes
        self.embed_dim = embed_dim
        self.num_layers = num_layers
        self.dropout_rate = dropout_rate
        self.fc_hidden = fc_hidden
        self.hidden_dim_lstm = hidden_dim_lstm
        self.id2label = {
            0: "negative",
            1: "positive",
            2: "neutral",
        }
        self.label2id = {
            "negative": 0,
            "positive": 1,
            "neutral": 2,
        }