Update README.md

README.md

@@ -93,6 +93,44 @@ Empowered by an Innovative Growth Network for dynamic adaptation:
 - **Initial Capacity:** 250000
 - **Input Size:** 2048
 
+---
+
+## Hyperparameters Overview
+
+Here's a concise overview of the key hyperparameters used for training your model:
+
+**Training Parameters**
+- `max_neurons`: 250,000
+- `epochs`: 50
+- `clip`: 5
+- `patience`: 7
+- `adaptation_rate`: 0.05
+- `sequence_length`: 200
+- `max_sequence_length`: 200
+- `weight_decay`: 0.005
+- `num_embeddings`: 25,000
+- `embedding_dim`: 768
+- `hidden_dim`: 2048
+- `learning_rate`: 1e-5
+- `some_intermediate_size`: 3072
+
+**Additional Parameters**
+- `input_dimension`: 768
+- `initial_neuron_count`: 5000
+- `some_adaptation_rate`: 0.05
+- `complexity_metric`: None
+
+**New Parameters**
+- `growth_improvement_threshold`: 0.01
+- `pruning_improvement_threshold`: 0.005
+- `stability_threshold`: 0.02
+- `max_complexity`: 10,000
+- `low_stability_threshold`: 0.01
+- `min_epochs_before_growth`: 5
+- `desired_improvement_rate`: 0.02
+
+ ---
+ 
 ## Seamless Integration with Hugging Face 🤗
 
 from transformers import AutoTokenizer, AutoModelForCausalLM