Create regression_models

regression_models

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+import torch
+import torch.nn as nn
+from transformers import BertModel, BertTokenizer
+
+class BERTRegression(nn.Module):
+    def __init__(self):
+        super(BERTRegression, self).__init__()
+        self.bert = BertModel.from_pretrained("bert-base-uncased")
+        self.dropout = nn.Dropout(0.1)
+        self.linear = nn.Linear(self.bert.config.hidden_size, 1)
+
+    def forward(self, input_ids, attention_mask):
+        outputs = self.bert(input_ids=input_ids, attention_mask=attention_mask)
+        pooled_output = outputs.pooler_output
+        pooled_output = self.dropout(pooled_output)
+        logits = self.linear(pooled_output)
+        return logits.squeeze(-1)