Upload saute_config.py

saute_config.py

@@ -0,0 +1,44 @@
+from transformers import PretrainedConfig
+
+class SAUTEConfig(PretrainedConfig):
+    model_type = "saute"
+
+    def __init__(
+        self,
+        vocab_size=30522,
+        hidden_size=768,
+        max_position_embeddings=512,
+        max_edus_per_dialog=100,
+        max_edu_length=128,
+        num_attention_heads=12,
+        num_hidden_layers=6,
+        intermediate_size=3072,
+        hidden_dropout_prob=0.1,
+        attention_probs_dropout_prob=0.1,
+        num_speaker_embeddings=512,
+        speaker_embeddings_size=768,
+        max_speakers=200,
+        num_token_layers=2,
+        num_edu_layers=2,
+        **kwargs
+    ):
+        super().__init__(**kwargs)
+
+        self.vocab_size     = vocab_size
+        self.hidden_size    = hidden_size
+        self.max_edu_length = max_edu_length
+        self.max_speakers   = max_speakers
+        
+        self.max_edus_per_dialog    = max_edus_per_dialog
+        self.num_attention_heads    = num_attention_heads
+        self.num_hidden_layers      = num_hidden_layers
+        self.intermediate_size      = intermediate_size
+        self.hidden_dropout_prob    = hidden_dropout_prob
+        
+        self.num_speaker_embeddings     = num_speaker_embeddings
+        self.speaker_embeddings_size    = speaker_embeddings_size
+        self.max_position_embeddings    = max_position_embeddings
+        self.attention_probs_dropout_prob = attention_probs_dropout_prob
+
+        self.num_token_layers = num_token_layers
+        self.num_edu_layers = num_edu_layers