Update model card

README.md

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+---
+tags:
+- image-classification
+- cifar100
+- resnet50-pytorch
+- pytorch
+datasets:
+- cifar100
+metrics:
+- accuracy
+---
+
+# CIFAR-100 resnet50-pytorch
+
+## Model Description
+
+resnet50-pytorch trained on CIFAR-100 dataset with advanced augmentation techniques.
+
+### Model Architecture
+- **Architecture**: resnet50-pytorch
+- **Dataset**: CIFAR-100
+- **Classes**: 100
+
+### Training Configuration
+- **Batch Size**: 128
+- **Optimizer**: sgd (momentum=0.9, weight_decay=1e-3)
+- **Scheduler**: onecycle
+- **Augmentation**: HorizontalFlip, ShiftScaleRotate, Cutout, ColorJitter
+- **MixUp**: Alpha=0.2
+- **Label Smoothing**: 0.1
+- **Mixed Precision**: True
+- **Gradient Clipping**: 1.0
+
+### Performance
+- **Best Test Accuracy**: 23.80%
+- **Total Epochs Trained**: 2
+- **Final Train Accuracy**: 16.38%
+- **Final Test Accuracy**: 23.80%
+
+### Training History
+- **Best Epoch**: 2
+- **Train Loss**: 2.5457 → 2.3992
+- **Test Loss**: 3.7171 → 2.1703
+
+### Usage
+
+```python
+import torch
+from huggingface_hub import hf_hub_download
+
+# Download model
+checkpoint_path = hf_hub_download(
+    repo_id="pandurangpatil/imagenet10trial",
+    filename="best_model.pth"
+)
+
+# Load checkpoint
+checkpoint = torch.load(checkpoint_path, map_location='cpu', weights_only=False)
+
+# Load model (you'll need to have the model definition)
+# from models import get_model
+# model = get_model('resnet50-pytorch', num_classes=100)
+# model.load_state_dict(checkpoint['model_state_dict'])
+# model.eval()
+```
+
+### Training Details
+- **Dataset**: CIFAR-100 (50,000 train, 10,000 test)
+- **Classes**: 100
+- **Image Size**: 32×32
+- **Normalization**: mean=(0.5071, 0.4865, 0.4409), std=(0.2673, 0.2564, 0.2761)
+
+### Files
+- `best_model.pth` - Best performing model checkpoint
+- `training_curves.png` - Training/test accuracy and loss curves
+- `lr_finder_plot.png` - Learning rate finder results
+- `metrics.json` - Complete training history
+- `config.json` - Hyperparameter configuration
+
+### License
+MIT
+
+### Citation
+```bibtex
+@misc{resnet50-pytorch-cifar100,
+  title = {CIFAR-100 resnet50-pytorch},
+  year = {2025},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/pandurangpatil/imagenet10trial}
+}
+```