Upload checkpoint-1700 classifier

README.md

@@ -31,6 +31,29 @@ This is a multimodal classifier that combines:
 The model takes both image and text inputs (questions about flowers) and outputs classification predictions.
 
 
+## Training Details
+
+### Training Configuration
+- **Base Model**: oscarqjh/Qwen3-VL-4B-Instruct-Flowers102-Open-QA
+- **Checkpoint**: Step 1,700
+**Training Steps**: 1,700 / 2,000 steps
+- **Total Epochs**: 1.90 epochs
+- **Batch Size**: 1 per device
+- **Gradient Accumulation Steps**: 2
+- **Effective Batch Size**: 2
+- **Initial Learning Rate**: 9.00e-06 
+- **Final Learning Rate**: 3.34e-05
+
+### Training Results
+- **Final Training Loss**: 3.6995
+- **Training Runtime**: N/A seconds
+- **Training Speed**: N/A samples/second
+
+### Model Architecture
+- **Number of Classes**: 102
+- **Base Model Frozen**: True
+- **Dropout Rate**: 0.1
+