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--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+training_curves/Twins_SVT_combined_metrics.png filter=lfs diff=lfs merge=lfs -text
+training_notebook_c2.ipynb filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e26748ae964dc29a5cec2441449081c39344e880
--- /dev/null
+++ b/README.md
@@ -0,0 +1,166 @@
+---
+license: apache-2.0
+tags:
+- image-classification
+- pytorch
+- timm
+- twins_svt
+- vision-transformer
+- transformer
+- gravitational-lensing
+- strong-lensing
+- astronomy
+- astrophysics
+datasets:
+- parlange/gravit-c21-j24
+metrics:
+- accuracy
+- auc
+- f1
+paper:
+- title: "GraViT: A Gravitational Lens Discovery Toolkit with Vision Transformers"
+  url: "https://arxiv.org/abs/2509.00226"
+  authors: "Parlange et al."
+model-index:
+- name: Twins_SVT-c2
+  results:
+  - task:
+      type: image-classification
+      name: Strong Gravitational Lens Discovery
+    dataset:
+      type: common-test-sample
+      name: Common Test Sample (More et al. 2024)
+    metrics:
+    - type: accuracy
+      value: 0.8012
+      name: Average Accuracy
+    - type: auc
+      value: 0.8481
+      name: Average AUC-ROC
+    - type: f1
+      value: 0.5502
+      name: Average F1-Score
+---
+
+# 🌌 twins_svt-gravit-c2
+
+🔭 This model is part of **GraViT**: Transfer Learning with Vision Transformers and MLP-Mixer for Strong Gravitational Lens Discovery
+
+🔗 **GitHub Repository**: [https://github.com/parlange/gravit](https://github.com/parlange/gravit)
+
+## 🛰️ Model Details
+
+- **🤖 Model Type**: Twins_SVT
+- **🧪 Experiment**: C2 - C21+J24-half
+- **🌌 Dataset**: C21+J24
+- **🪐 Fine-tuning Strategy**: half
+
+
+
+## 💻 Quick Start
+
+```python
+import torch
+import timm
+
+# Load the model directly from the Hub
+model = timm.create_model(
+    'hf-hub:parlange/twins_svt-gravit-c2',
+    pretrained=True
+)
+model.eval()
+
+# Example inference
+dummy_input = torch.randn(1, 3, 224, 224)
+with torch.no_grad():
+    output = model(dummy_input)
+    predictions = torch.softmax(output, dim=1)
+print(f"Lens probability: {predictions[0][1]:.4f}")
+```
+
+## ⚡️ Training Configuration
+
+**Training Dataset:** C21+J24 (Cañameras et al. 2021 + Jaelani et al. 2024)  
+**Fine-tuning Strategy:** half
+
+
+| 🔧 Parameter | 📝 Value |
+|--------------|----------|
+| Batch Size | 192 |
+| Learning Rate | AdamW with ReduceLROnPlateau |
+| Epochs | 100 |
+| Patience | 10 |
+| Optimizer | AdamW |
+| Scheduler | ReduceLROnPlateau |
+| Image Size | 224x224 |
+| Fine Tune Mode | half |
+| Stochastic Depth Probability | 0.1 |
+
+
+## 📈 Training Curves
+
+![Combined Training Metrics](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/training_curves/Twins_SVT_combined_metrics.png)
+
+
+## 🏁 Final Epoch Training Metrics
+
+| Metric | Training | Validation |
+|:---------:|:-----------:|:-------------:|
+| 📉 Loss | 0.2950 | 0.2921 |
+| 🎯 Accuracy | 0.8781 | 0.8943 |
+| 📊 AUC-ROC | 0.9481 | 0.9535 |
+| ⚖️ F1 Score | 0.8778 | 0.8953 |
+
+
+## ☑️ Evaluation Results
+
+### ROC Curves and Confusion Matrices
+
+Performance across all test datasets (a through l) in the Common Test Sample (More et al. 2024):
+
+![ROC + Confusion Matrix - Dataset A](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_a.png)
+![ROC + Confusion Matrix - Dataset B](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_b.png)
+![ROC + Confusion Matrix - Dataset C](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_c.png)
+![ROC + Confusion Matrix - Dataset D](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_d.png)
+![ROC + Confusion Matrix - Dataset E](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_e.png)
+![ROC + Confusion Matrix - Dataset F](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_f.png)
+![ROC + Confusion Matrix - Dataset G](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_g.png)
+![ROC + Confusion Matrix - Dataset H](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_h.png)
+![ROC + Confusion Matrix - Dataset I](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_i.png)
+![ROC + Confusion Matrix - Dataset J](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_j.png)
+![ROC + Confusion Matrix - Dataset K](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_k.png)
+![ROC + Confusion Matrix - Dataset L](https://huggingface.co/parlange/twins_svt-gravit-c2/resolve/main/roc_confusion_matrix/Twins_SVT_roc_confusion_matrix_l.png)
+
+### 📋 Performance Summary
+
+Average performance across 12 test datasets from the Common Test Sample (More et al. 2024):
+
+| Metric | Value |
+|-----------|----------|
+| 🎯 Average Accuracy | 0.8012 |
+| 📈 Average AUC-ROC | 0.8481 |
+| ⚖️ Average F1-Score | 0.5502 |
+
+
+## 📘 Citation
+
+If you use this model in your research, please cite:
+
+```bibtex
+@misc{parlange2025gravit,
+      title={GraViT: Transfer Learning with Vision Transformers and MLP-Mixer for Strong Gravitational Lens Discovery}, 
+      author={René Parlange and Juan C. Cuevas-Tello and Octavio Valenzuela and Omar de J. Cabrera-Rosas and Tomás Verdugo and Anupreeta More and Anton T. Jaelani},
+      year={2025},
+      eprint={2509.00226},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2509.00226}, 
+}
+```
+
+---
+
+
+## Model Card Contact
+
+For questions about this model, please contact the author through: https://github.com/parlange/
diff --git a/config.json b/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..447544ee19f06f3be3a9ea439b6c6495d205817c
--- /dev/null
+++ b/config.json
@@ -0,0 +1,76 @@
+{
+  "architecture": "vit_base_patch16_224",
+  "num_classes": 2,
+  "num_features": 1000,
+  "global_pool": "avg",
+  "crop_pct": 0.875,
+  "interpolation": "bicubic",
+  "mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "first_conv": "conv1",
+  "classifier": "fc",
+  "input_size": [
+    3,
+    224,
+    224
+  ],
+  "pool_size": [
+    7,
+    7
+  ],
+  "pretrained_cfg": {
+    "tag": "gravit_c2",
+    "custom_load": false,
+    "input_size": [
+      3,
+      224,
+      224
+    ],
+    "fixed_input_size": true,
+    "interpolation": "bicubic",
+    "crop_pct": 0.875,
+    "crop_mode": "center",
+    "mean": [
+      0.485,
+      0.456,
+      0.406
+    ],
+    "std": [
+      0.229,
+      0.224,
+      0.225
+    ],
+    "num_classes": 2,
+    "pool_size": [
+      7,
+      7
+    ],
+    "first_conv": "conv1",
+    "classifier": "fc"
+  },
+  "model_name": "twins_svt_gravit_c2",
+  "experiment": "c2",
+  "training_strategy": "half",
+  "dataset": "C21+J24",
+  "hyperparameters": {
+    "batch_size": "192",
+    "learning_rate": "AdamW with ReduceLROnPlateau",
+    "epochs": "100",
+    "patience": "10",
+    "optimizer": "AdamW",
+    "scheduler": "ReduceLROnPlateau",
+    "image_size": "224x224",
+    "fine_tune_mode": "half",
+    "stochastic_depth_probability": "0.1"
+  },
+  "hf_hub_id": "parlange/twins_svt-gravit-c2",
+  "license": "apache-2.0"
+}
\ No newline at end of file
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index 0000000000000000000000000000000000000000..51ad31002d20e48ac3ebf8b61b5b308068673ca5
--- /dev/null
+++ b/evaluation_results.csv
@@ -0,0 +1,133 @@
+Model,Dataset,Loss,Accuracy,AUCROC,F1
+ViT,a,0.35447569389258865,0.8949115044247787,0.9020846228498507,0.7480106100795756
+ViT,b,0.2228443425890036,0.9264382269726501,0.9263609576427256,0.5465116279069767
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+ViT,e,0.3652098159562351,0.8825466520307355,0.920767426019829,0.7249357326478149
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+ViT,g,0.10483654439449311,0.9635,0.997473,0.9644999189495866
+ViT,h,0.23178722894191742,0.915,0.9939590555555555,0.9210526315789473
+ViT,i,0.04857917896906535,0.978,0.9990572222222223,0.9782966129562644
+ViT,j,2.494326035181681,0.6106666666666667,0.5831323333333334,0.42349457058242845
+ViT,k,2.4380686638752618,0.6251666666666666,0.7805802777777779,0.43278688524590164
+ViT,l,1.0272723743838732,0.8127329565949261,0.7993805230717175,0.7184308053873272
+MLP-Mixer,a,1.230455079964832,0.6227876106194691,0.8958911227772556,0.49028400597907323
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+CvT,a,0.7465745627352621,0.6493362831858407,0.7317079694031161,0.4389380530973451
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+CvT,l,1.337245315202257,0.645425033064807,0.6032419706344807,0.5021944632005402
+Swin,a,0.47572549887463056,0.8407079646017699,0.905882487792577,0.6742081447963801
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+CaiT,a,0.3509529214517205,0.9081858407079646,0.8966973093999068,0.7726027397260274
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+DeiT,a,0.48058320357736234,0.8263274336283186,0.8941450218931248,0.6594360086767896
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diff --git a/training_metrics.csv b/training_metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d84b527bef4fe8f37a18826043a5f0ec0e0bfbe5
--- /dev/null
+++ b/training_metrics.csv
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