model card
DIAG-1
resnet18 · thfood100 · 100 classes · submitted 2026-08-05 04:42:16
Rank · Score
#2 · 90.0
Training configuration
- Architecture
- resnet18
- Dataset
- thfood100
- Epochs trained
- 5
- Optimizer
- AdamW
- Learning rate
- 0.0003
- Batch size
- 64
- Scheduler
- CosineAnnealingLR
- Mixed precision
- on
- Seed
- 42
Measured on this server
- Validation accuracy
- 88.56%
- Parameters
- 11,227,812
- Model size
- 42.9 MB
- Latency (batch 1)
- 48.9 ms
- Throughput
- 20.4 FPS
- Inference memory (approx.)
- 42.9 MB