初始化项目，由ModelHub XC社区提供模型

Model: Chamaka8/Serendip-LLM-CPT-SFT-v2
Source: Original Platform

training_scripts/TRAINING_LOG.md

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+# 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