Create config_codesage.py

config_codesage.py

@@ -0,0 +1,46 @@
+#!/usr/bin/env python
+# coding=utf-8
+# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+
+from transformers.configuration_utils import PretrainedConfig
+
+
+class CodeSageConfig(PretrainedConfig):
+    model_type = "bert"
+
+    def __init__(
+            self,
+            vocab_size=50257,
+            max_position_embeddings=1024,
+            hidden_size=768,
+            num_hidden_layers=12,
+            num_attention_heads=12,
+            intermediate_size=3072,
+            activation_function="gelu_new",
+            residual_dropout_prob=0.1,
+            embedding_dropout_prob=0.1,
+            attention_dropout_prob=0.1,
+            layer_norm_epsilon=1e-5,
+            initializer_range=0.02,
+            position_embedding_type='absolute',
+            bos_token_id=0,
+            eos_token_id=0,
+            pad_token_id=49153,
+            **kwargs
+    ):
+        self.vocab_size = vocab_size
+        self.max_position_embeddings = max_position_embeddings
+        self.hidden_size = hidden_size
+        self.num_hidden_layers = num_hidden_layers
+        self.num_attention_heads = num_attention_heads
+        self.intermediate_size = intermediate_size
+        assert 'gelu' in activation_function
+        self.activation_function = activation_function
+        self.residual_dropout_prob = residual_dropout_prob
+        self.embedding_dropout_prob = embedding_dropout_prob
+        self.attention_dropout_prob = attention_dropout_prob
+        self.layer_norm_epsilon = layer_norm_epsilon
+        self.initializer_range = initializer_range
+        self.position_embedding_type = position_embedding_type
+
+        super().__init__(pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs)