Delete models/models/roberta_model.py

models/models/roberta_model.py

@@ -1,20 +0,0 @@
-import torch
-import torch.nn as nn
-from transformers import RobertaModel
-from config import DROPOUT_RATE, ROBERTA_MODEL_NAME
-
-class RobertaMultiOutputModel(nn.Module):
-    tokenizer_name = ROBERTA_MODEL_NAME
-
-    def __init__(self, num_labels):
-        super(RobertaMultiOutputModel, self).__init__()
-        self.roberta = RobertaModel.from_pretrained(ROBERTA_MODEL_NAME)
-        self.dropout = nn.Dropout(DROPOUT_RATE)
-        self.classifiers = nn.ModuleList([
-            nn.Linear(self.roberta.config.hidden_size, n_classes) for n_classes in num_labels
-        ])
-
-    def forward(self, input_ids, attention_mask):
-        pooled_output = self.roberta(input_ids=input_ids, attention_mask=attention_mask).pooler_output
-        pooled_output = self.dropout(pooled_output)
-        return [classifier(pooled_output) for classifier in self.classifiers]