checkpoint-3000/README.md

# ScriptSwiftAI v12 (Dikshan)

> QLoRA fine-tuned full-stack code generation model by **Dikshan** (India).
> Covers Python, Django, Flask, FastAPI, React, Next.js, TypeScript, SQL, Docker.

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## License

**CC BY-NC 4.0** — Non-commercial use only. Must credit Dikshan / ScriptSwiftAI.
https://creativecommons.org/licenses/by-nc/4.0/

**Copyright © 2026 Dikshan. All rights reserved.**

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## Model Details

| Property | Value |
|---|---|
| **Base Model** | Qwen2.5-Coder-7B-Instruct |
| **Method** | QLoRA (4-bit, r=64) |
| **Hardware** | NVIDIA RTX 5070 Ti 16GB |
| **Target Steps** | 40,000 |
| **Dataset** | ~450-500k samples (17 datasets) |
| **Max Length** | 1536 tokens |
| **Developer** | Dikshan (India) |
| **Training Started** | June 2026 |

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## Changelog / Training Timeline

*Auto-updated by train_v12.py on every checkpoint save.*
*Append-only — entries never overwritten. HuggingFace commit history provides timestamps.*


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### 🔵 Checkpoint — Step 13
**Date:** June 22, 2026 at 18:44 IST
**Checkpoint:** checkpoint-13
**Step:** 13 / 40,000 (0.0% complete)
**Loss:** 0.6164
**Epoch:** 0.000
**Zone:** 📚 Learning
**Status:** Training ongoing — auto-uploaded via train_v12.py

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### 🔵 Checkpoint — Step 25
**Date:** June 22, 2026 at 18:50 IST
**Checkpoint:** checkpoint-25
**Step:** 25 / 40,000 (0.1% complete)
**Loss:** 0.6057
**Epoch:** 0.001
**Zone:** 📚 Learning
**Status:** Training ongoing — auto-uploaded via train_v12.py

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### 🔵 Checkpoint — Step 36
**Date:** June 22, 2026 at 18:58 IST
**Checkpoint:** checkpoint-36
**Step:** 36 / 40,000 (0.1% complete)
**Loss:** 0.5508
**Epoch:** 0.001
**Zone:** 📚 Learning
**Status:** Training ongoing — auto-uploaded via train_v12.py

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### 🔵 Checkpoint — Step 42
**Date:** June 22, 2026 at 19:08 IST
**Checkpoint:** checkpoint-42
**Step:** 42 / 40,000 (0.1% complete)
**Loss:** 0.5525
**Epoch:** 0.001
**Zone:** 📚 Learning
**Status:** Training ongoing — auto-uploaded via train_v12.py

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### 🔵 Checkpoint — Step 538
**Date:** June 22, 2026 at 23:38 IST
**Checkpoint:** checkpoint-538
**Step:** 538 / 40,000 (1.3% complete)
**Loss:** 0.4087
**Epoch:** 0.015
**Zone:** 📈 Good
**Status:** Training ongoing — auto-uploaded via train_v12.py

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### 🔵 Checkpoint — Step 1,000
**Date:** June 23, 2026 at 03:05 IST
**Checkpoint:** checkpoint-1000
**Step:** 1,000 / 40,000 (2.5% complete)
**Loss:** 0.4174
**Epoch:** 0.029
**Zone:** 📈 Good
**Status:** Training ongoing — auto-uploaded via train_v12.py

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### 🔵 Checkpoint — Step 1,797
**Date:** June 23, 2026 at 08:26 IST
**Checkpoint:** checkpoint-1797
**Step:** 1,797 / 40,000 (4.5% complete)
**Loss:** 0.3927
**Epoch:** 0.052
**Zone:** 📈 Good
**Status:** Training ongoing — auto-uploaded via train_v12.py

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### 🔵 Checkpoint — Step 2,000
**Date:** June 23, 2026 at 09:52 IST
**Checkpoint:** checkpoint-2000
**Step:** 2,000 / 40,000 (5.0% complete)
**Loss:** 0.4383
**Epoch:** 0.058
**Zone:** 📈 Good
**Status:** Training ongoing — auto-uploaded via train_v12.py

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### 🔵 Checkpoint — Step 3,000
**Date:** June 23, 2026 at 17:35 IST
**Checkpoint:** checkpoint-3000
**Step:** 3,000 / 40,000 (7.5% complete)
**Loss:** 0.4153
**Epoch:** 0.088
**Zone:** 📈 Good
**Status:** Training ongoing — auto-uploaded via train_v12.py