Update config.json

config.json

@@ -1,37 +1,44 @@
 {
-  "model_type": "auto",
-  "model_name_or_path": "Or4cl3-1/Daedalus_1",
-  "tokenizer_name_or_path": "Or4cl3-1/Daedalus_1",
-  "pad_to_max_length": true,
-  "max_length": 1024,
-  "num_beams": 4,
-  "eos_token_id": 2,
-  "length_penalty": 2.0,
-  "no_repeat_ngram_size": 3,
-  "early_stopping": True,
-  "skip_special_tokens": True,
-  "use_cache": True,
-  "output_hidden_states": False,
-  "output_attentions": False,
-  "return_dict_in_generate": True,
-  "forced_bos_token_id": 0,
-  "forced_eos_token_id": 2,
-  "remove_invalid_values": False,
-  "torchscript": False,
-  "use_multiprocessing": False,
-  "bfloat16": False,
-  "past_index": -1,
-  "task_specific_params": {
-    "summarization": {
-      "num_beams": 8,
-      "length_penalty": 1.0,
-      "max_length": 128
+    "model_name": "Daedalus_1: The Forge of Visionary Innovation",
+    "description": "A cutting-edge AI model blending CodeBERT, Codex, T5, SAM, Gemini, and Megatron for transformative innovation.",
+    "version": "1.0",
+    "author": "Or4cl3 AI Solutions",
+    "framework": "PyTorch",
+    "python_version": "3.x",
+    "deep_learning_framework": "PyTorch",
+    "constituent_models": [
+        {
+            "name": "Or4cl3-1/code-slerp",
+            "description": "Empowers Daedalus_1 with expertise in software engineering, code generation, and task-oriented language understanding."
+        },
+        {
+            "name": "Or4cl3-1/SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp",
+            "description": "Provides Daedalus_1 with a deep, multifaceted understanding of complex concepts, human-like reasoning, and creativity."
+        }
+    ],
+    "architectural_design": {
+        "merge_method": "SLERP (Spherical Linear Interpolation)",
+        "selected_layers": 32
     },
-    "question-answering": {
-      "num_beams": 8,
-      "length_penalty": 1.0,
-      "max_length": 384
-    }
-  }
-}
-  
+    "capabilities": [
+        "Rapid Prototyping and Code Generation",
+        "Multidisciplinary Understanding",
+        "Adaptability and Continuous Improvement",
+        "Ethical Considerations"
+    ],
+    "applications": [
+        "Software Development",
+        "Scientific Research",
+        "Creative Problem-Solving"
+    ],
+    "training_data": "Internal and External Datasets",
+    "training_steps": 200000,
+    "batch_size": 32,
+    "learning_rate": 0.0001,
+    "max_sequence_length": 1024,
+    "num_layers": 24,
+    "num_heads": 16,
+    "hidden_size": 1024,
+    "dropout_rate": 0.2,
+    "num_epochs": 20
+}