Create config.json

config.json

@@ -0,0 +1,38 @@
+{
+  "model_type": "CustomModel",
+  "architecture": "Feedforward Neural Network with Ba-inspired Activation Function",
+  "input_size": 512,
+  "hidden_size": 128,
+  "output_size": 768,
+  "activation_function": {
+    "name": "Ba-inspired Activation",
+    "details": {
+      "weights_initialization": "Random Normal Distribution",
+      "a": 0.5,
+      "epsilon": 1e-6,
+      "function": "epsilon * torch.cos(np.pi * a * fractional_inspired * torch.log(torch.abs(fractional_inspired) + epsilon))"
+    }
+  },
+  "tokenizer": "bert-base-uncased",
+  "training_details": {
+    "optimizer": "AdamW",
+    "learning_rate": 5e-5,
+    "loss_function": "CrossEntropyLoss",
+    "batch_size": 8,
+    "epochs": 3,
+    "dataset": "Custom Dataset from JSON Lines File",
+    "dataset_preprocessing": {
+      "max_length": 512,
+      "padding": true,
+      "truncation": true
+    }
+  },
+  "performance": {
+    "final_accuracy": "Dependent on specific run and dataset",
+    "final_loss": "Dependent on specific run and dataset"
+  },
+  "usage": {
+    "inference": "Model can be used for tasks requiring sequence classification. Ensure input size matches model configuration.",
+    "additional_notes": "Model and tokenizer need to be loaded with Hugging Face's transformers library for usage."
+  }
+}