# Training Log Summary

## Final Training Run (train_v2_fast.py)

**Start:** February 18, 2026, ~17:30
**End:** February 19, 2026, ~20:00
**Duration:** 26.5 hours

### Loss Progression

| Epoch | Loss |
|-------|------|
| 0.95  | 0.28 |
| 1.90  | 0.24 |
| 3.00  | 0.27 |

**Final training loss:** 0.27

### Configuration Used
```python
num_train_epochs = 3
per_device_train_batch_size = 8
gradient_accumulation_steps = 4  # Effective batch = 32
learning_rate = 2e-5
max_length = 384  # tokens
warmup_steps = 200
weight_decay = 0.01

# LoRA Config
lora_r = 64
lora_alpha = 128
lora_target_modules = [
    "q_proj", "k_proj", "v_proj", 
    "o_proj", "gate_proj", "up_proj"
]
lora_dropout = 0.05
```

### Hardware

- GPU: NVIDIA A100 SXM 80GB
- Training framework: Transformers + PEFT
- Mixed precision: FP16

### Dataset

- Source: Chamaka8/Serendip-sft-sinhala
- File: serendipllm_sft_final_train_v2.json
- Examples: 309,328
- News classification: 45,080 examples
- General Sinhala: 205,403 examples
- QA pairs: 29,390 examples