File size: 1,829 Bytes
fc31480 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | ## 📊 Hybrid Model Results (HMDB51)
The hybrid model (TimeSformer + RetNet) was also trained on the **HMDB51 dataset**.
Due to Kaggle’s runtime limitation, training was interrupted at **Epoch 12**, so results are reported up to **Epoch 11**. Training will be resumed in a later stage.
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### 🔹 Training Results (Epoch 1–11)
| Epoch | Train Loss | Train Acc | Val Loss | Val Acc | F1 |
|------|------------|-----------|----------|---------|-----|
| 1 | 3.9312 | 0.0350 | 3.8099 | 0.0967 | 0.0855 |
| 2 | 3.6330 | 0.1791 | 3.2948 | 0.3654 | 0.3149 |
| 3 | 3.0989 | 0.3691 | 2.6927 | 0.5150 | 0.4579 |
| 4 | 2.6278 | 0.5048 | 2.2879 | 0.5869 | 0.5503 |
| 5 | 2.3198 | 0.5782 | 2.0438 | 0.6255 | 0.5961 |
| 6 | 2.1387 | 0.6194 | 1.9152 | 0.6242 | 0.6074 |
| 7 | 1.9876 | 0.6657 | 1.8369 | 0.6418 | 0.6308 |
| 8 | 1.9140 | 0.6936 | 1.7966 | 0.6359 | 0.6188 |
| 9 | 1.8539 | 0.7041 | 1.7619 | 0.6556 | 0.6426 |
| 10 | 1.8149 | 0.7244 | 1.7523 | **0.6614** | **0.6512** |
| 11 | 1.7270 | 0.7561 | 1.7543 | 0.6556 | 0.6472 |
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## 🏆 Best Performance (Current)
- **Validation Accuracy:** **66.14%**
- **F1 Score:** 0.6512
- Achieved at **Epoch 10**
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## ⚠️ Training Status
- Training **interrupted at Epoch 12** due to runtime limit
- Model will be **resumed from best checkpoint**
- Final performance may improve after full training
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## ⚡ Efficiency
- Peak GPU Memory: **~7.2 GB**
- ~25% lower than standard TimeSformer
- Faster training per epoch
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## 📌 Observations
- Steady improvement until Epoch 10
- Slight plateau after that (possible early convergence)
- Lower accuracy compared to UCF101 (expected due to dataset complexity)
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## 🔄 Next Steps
- Resume training from Epoch 11 checkpoint
- Complete remaining epochs
- Compare final performance with baseline model |