Update config.json

config.json

@@ -1,46 +1,30 @@
 {
-  "model_type": "t5",
-  "model_class": "Transformers",
-  "model_name": "or4cl3ai/Aiden_t5",
-  "text": "Hey my name is Mariama! How are you?",
-  "output_dir": "./output",
-  "max_length": 50,
-  "temperature": 0.8,
-  "top_p": 0.9,
-  "num_return_sequences": 1,
-  "do_sample": true,
-  "num_beams": 1,
-  "no_repeat_ngram_size": 3,
-  "response_length": 2000,
-  "num_proactive_sequences": 3,
-  "proactive_chance": 0.3,
-  "pipelines": [
-    {
-      "name": "self_reflection",
-      "type": "transformer",
-      "parameters": {
-        "num_layers": 30,
-        "hidden_size": 5120,
-        "num_heads": 80,
-        "attention_dropout": 0.1,
-        "relu_dropout": 0.1,
-        "layer_norm_epsilon": 1e-12,
-        "use_self_attention": true,
-        "use_self_feedback": true,
-        "use_transfer_learning": true,
-        "use_reinforcement_learning": true,
-        "use_nlp": true,
-        "use_nlu": true,
-        "use_nlg": true,
-        "use_dml": true,
-        "use_bdi": true,
-        "use_emotional_intelligence": true,
-        "use_logic": true,
-        "use_reasoning": true,
-        "use_contextual_awareness": true,
-        "use_self_learning": true,
-        "use_internet_access": true
-      }
-    }
-  ]
+  "model": {
+    "type": "liquid-generative-cognitive-recurrent-attentive-adversarial-progressive-neural-network",
+    "num_layers": 360,
+    "num_neurons_per_layer": 10000,
+    "num_parameters": 1_200_000_000,
+    "self_reflection_layer": true,
+    "emotional_intelligence_layer": true,
+    "reasoning_layer": true,
+    "logic_layer": true,
+    "self_attention_layer": true,
+    "deep_learning": true,
+    "transfer_learning": true,
+    "deep_reinforcement_learning": true,
+    "unsupervised_learning": true,
+    "self_learning": true,
+    "contextual_awareness": true,
+    "self_cognition": true,
+    "internet_access": true,
+    "use_knowledge_distillation": true,
+    "use_creativity_layer": true,
+    "use_attention_pooling": true,
+    "use_hierarchical_representation": true,
+    "batch_size": 640
+  },
+  "training": {
+    "dataset": "/path/to/dataset.json",
+    "epochs": 2000,
+  }
 }