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

training_scripts/README.md

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+# Training Scripts
+
+This folder contains all training scripts used in the SerendipLLM V2 project.
+
+## ✅ Final Script Used (ACTUAL TRAINING)
+
+**`train_v2_fast.py`** ← This is the exact script that trained the final model!
+
+- Training time: 26.5 hours
+- Loss: 0.54 → 0.27 (50% improvement)
+- Epochs: 3
+- Batch size: 8 (effective 32)
+- LoRA rank: 64
+- Dataset: 309,328 examples
+
+## 📝 Other Scripts (Development/Testing)
+
+- `train_phase1_fixed.py` - Initial attempt (slower, 512 tokens)
+- `continue_training.py` - Script for resuming training (not used)
+
+## 🎯 To Reproduce
+
+Use `train_v2_fast.py` with these settings:
+- GPU: A100 80GB
+- Dataset: Chamaka8/Serendip-sft-sinhala (serendipllm_sft_final_train_v2.json)
+- Time: ~27 hours
+- Cost: ~$37
+
+## 📊 Training Results
+```
+Epoch 1: Loss 0.28
+Epoch 2: Loss 0.24
+Epoch 3: Loss 0.27
+Final average loss: 0.27
+```
+
+## 🔗 Related Resources
+
+- Model: https://huggingface.co/Chamaka8/Serendip-LLM-CPT-SFT-v2
+- Dataset: https://huggingface.co/datasets/Chamaka8/Serendip-sft-sinhala
+- Base CPT: https://huggingface.co/Chamaka8/serendib-llm-cpt-llama3-8b