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