| { | |
| "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." | |
| } | |
| } | |