Update README.md

README.md

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----
-license: mit
----
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- ajsbsd/navier-stokes-2d-dataset
+pipeline_tag: graph-ml
+tags:
+- neural-operator
+- fourier-neural-operator
+- scientific-machine-learning
+- partial-differential-equations
+- surrogate-model
+datasets:
+- custom-dataset # Replace with specific dataset name if publicly available
+metrics:
+- custom-metric # Replace with specific metrics used, e.g., L2 error, MSE
+model-index:
+- name: Fourier Neural Operator (FNO)
+  results:
+  - task:
+      name: Solving Partial Differential Equations
+      type: text-generation # Or a more specific task type if available in Hugging Face tasks
+    dataset:
+      name: Custom Dataset
+      type: custom
+    metrics:
+      - type: custom-metric
+        value: 0.0 # Replace with actual metric value from training
+
+model_name: "fno_trained_checkpoint" # Replace with a more specific name if desired
+model_author: "Neural Operator Community/Your Name" # Replace with your name/organization
+model_summary: "A Fourier Neural Operator (FNO) checkpoint trained for solving a specific partial differential equation, as described by the training script."
+model_architecture: "Fourier Neural Operator (FNO)"
+model_type: "Neural Network for Operator Learning"
+
+# Training Details
+training_procedure:
+  code_repository: "[email protected]:neuraloperator/NNs-to-NOs.git"
+  training_script: "python train_single_res.py fno.yaml"
+  epochs: 10
+  software_framework: "PyTorch" # Assuming PyTorch based on common NO implementations
+  hardware_setup: "Not specified in training procedure, assumed standard GPU setup" # Add specific hardware if known
+  training_duration: "Not specified in training procedure" # Add actual duration if known
+  hyperparameters:
+    # Include key hyperparameters from fno.yaml if possible, e.g.:
+    # learning_rate: 0.001
+    # optimizer: "Adam"
+    # batch_size: 32
+    # resolution: [64, 64] # Example resolution
+    # modes: 12 # Example modes for FNO
+    # width: 20 # Example width for FNO
+    # ... (add other relevant hyperparameters from fno.yaml)
+  data_preprocessing: "Refer to the training script and dataset documentation for details."
+  validation_strategy: "Not explicitly stated, assume standard validation split in fno.yaml or script." # Add details if known
+
+# Intended Use
+intended_uses:
+  - "Surrogate modeling for Partial Differential Equations"
+  - "Accelerating scientific simulations"
+  - "Research in neural operators and scientific machine learning"
+
+# Limitations and Biases
+limitations:
+  - "Performance may vary significantly on out-of-distribution data."
+  - "Generalizability is highly dependent on the training data distribution."
+  - "Computational resources required for inference may be substantial depending on problem size."
+biases:
+  - "Potential biases inherent in the training data." # Describe any known biases in the dataset
+
+# Ethical Considerations
+ethical_considerations:
+  - "Ensure responsible deployment in safety-critical applications."
+  - "Transparency in data sources and model limitations is crucial."
+
+# Citation (if applicable)
+citation: |
+  @article{your_article_citation,
+    title={Your Article Title},
+    author={Author One and Author Two},
+    journal={Journal Name},
+    year={Year},
+    volume={Volume},
+    number={Number},
+    pages={Pages}
+  }