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| Problem | v2 | v3 |
|---|---|---|
_comma_ artefaktı | ❌ | ✅ Temizlendi |
| min_out_words | 20 (→ 3K örnek) | 15 (→ 4664 örnek) |
| Anti-pattern filtresi | ❌ | ✅ |
| Kalite skoru filtresi | ❌ | ✅ |
| Sistem promptu | Genel | Anti-pattern yasaklı |
| Klasör | İçerik |
|---|---|
final/ | Model ağırlıkları (LoRA adapter) |
checkpoints/epoch_N/ | Epoch checkpointları |
eval/ | Metrikler + sample outputs |
logs/ | Eğitim logu |
| Training Loss | 0.7188 |
| Süre | 187.9 dk |
| Train samples | 2785 |
| Val samples | 934 |
| Platform | Google Colab (Tesla T4) |
1from peft import PeftModel
2from transformers import AutoModelForCausalLM, AutoTokenizer
3import torch
4
5base = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2", torch_dtype=torch.float16, device_map="auto")
6model = PeftModel.from_pretrained(base, "nvlz/mistral-ed-only-v3", subfolder="final")
7tokenizer = AutoTokenizer.from_pretrained("nvlz/mistral-ed-only-v3", subfolder="final")