Add comprehensive model card with all checkpoints

README.md

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+---
+license: apache-2.0
+base_model: HuggingFaceTB/SmolVLA
+tags:
+- robotics
+- smolvla
+- imitation-learning
+- vision-language-action
+- fine-tuned
+library_name: lerobot
+---
+
+# SmolVLA Fine-tuned Model
+
+This model is a fine-tuned version of [HuggingFaceTB/SmolVLA](https://huggingface.co/HuggingFaceTB/SmolVLA) trained using the LeRobot library.
+
+## Model Details
+
+- **Base Model**: HuggingFaceTB/SmolVLA
+- **Training Steps**: 20,000
+- **Batch Size**: 10
+- **Checkpoints Available**: 4
+
+## Available Checkpoints
+
+This repository contains multiple checkpoints from the training process:
+
+- `checkpoint-020000/` - Step 020000
+- `checkpoint-040000/` - Step 040000
+- `checkpoint-060000/` - Step 060000
+- `checkpoint-last/` - Step last
+
+## Usage
+
+```python
+from lerobot import LeRobotPolicy
+
+# Load the final checkpoint
+model = LeRobotPolicy.from_pretrained("HelloCephalopod/my_smolvla_2/checkpoint-last")
+
+# Or load a specific checkpoint
+model = LeRobotPolicy.from_pretrained("HelloCephalopod/my_smolvla_2/checkpoint-10000")
+```
+
+## Training Details
+
+- **Training Data**: Custom dataset from Hugging Face Hub
+- **Training Steps**: 60,000
+- **Batch Size**: 10
+- **Save Steps**: 20,000
+- **Hardware**: Google Colab GPU
+
+## Checkpoint Selection
+
+- **checkpoint-40000**: Mid-training checkpoint
+- **checkpoint-60000**: Final checkpoint
+- **checkpoint-last**: Latest checkpoint (recommended)
+
+## Citation
+
+If you use this model, please cite the original SmolVLA paper and the LeRobot library.