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dời run cũ ở gốc (ckpt, lora_epoch1, lora_epoch2, lora_epoch3) vào 2026-11-10/

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  1. 2026-11-10/README.md +42 -0
  2. {ckpt → 2026-11-10/ckpt}/README.md +0 -0
  3. {ckpt → 2026-11-10/ckpt}/adapter_config.json +0 -0
  4. {ckpt → 2026-11-10/ckpt}/adapter_model.safetensors +0 -0
  5. {ckpt → 2026-11-10/ckpt}/cfg.json +0 -0
  6. {ckpt → 2026-11-10/ckpt}/thong_tin.json +0 -0
  7. {ckpt → 2026-11-10/ckpt}/trang_thai.pt +0 -0
  8. {lora_epoch1 → 2026-11-10/lora_epoch1}/README.md +0 -0
  9. {lora_epoch1 → 2026-11-10/lora_epoch1}/adapter_config.json +0 -0
  10. {lora_epoch1 → 2026-11-10/lora_epoch1}/adapter_model.safetensors +0 -0
  11. {lora_epoch1 → 2026-11-10/lora_epoch1}/cfg.json +0 -0
  12. {lora_epoch1 → 2026-11-10/lora_epoch1}/thong_tin.json +0 -0
  13. {lora_epoch1 → 2026-11-10/lora_epoch1}/trang_thai.pt +0 -0
  14. {lora_epoch2 → 2026-11-10/lora_epoch2}/README.md +0 -0
  15. {lora_epoch2 → 2026-11-10/lora_epoch2}/adapter_config.json +0 -0
  16. {lora_epoch2 → 2026-11-10/lora_epoch2}/adapter_model.safetensors +0 -0
  17. {lora_epoch2 → 2026-11-10/lora_epoch2}/cfg.json +0 -0
  18. {lora_epoch2 → 2026-11-10/lora_epoch2}/thong_tin.json +0 -0
  19. {lora_epoch2 → 2026-11-10/lora_epoch2}/trang_thai.pt +0 -0
  20. {lora_epoch3 → 2026-11-10/lora_epoch3}/README.md +0 -0
  21. {lora_epoch3 → 2026-11-10/lora_epoch3}/adapter_config.json +0 -0
  22. {lora_epoch3 → 2026-11-10/lora_epoch3}/adapter_model.safetensors +0 -0
  23. {lora_epoch3 → 2026-11-10/lora_epoch3}/cfg.json +0 -0
  24. {lora_epoch3 → 2026-11-10/lora_epoch3}/thong_tin.json +0 -0
  25. {lora_epoch3 → 2026-11-10/lora_epoch3}/trang_thai.pt +0 -0
2026-11-10/README.md ADDED
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+ ---
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+ base_model: zai-org/GLM-OCR
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+ library_name: peft
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+ tags: [lora, ocr, borehole-log]
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+ ---
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+ # GLM-OCR + LoRA: tờ hình trụ lỗ khoan -> JSON
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+
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+ LoRA r=16, alpha=32 trên `zai-org/GLM-OCR`; dữ liệu 1102 tờ train, 127 tờ val. wandb: https://forge.coreweave.com/wandb/vubkk67-hanoi-university-of-science-and-technology/ocr-borehole-glm/runs/bb8930c1
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+
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+ - `ckpt/`: checkpoint mới nhất (adapter + `trang_thai.pt` để chạy tiếp: optimizer, scheduler, vị trí trong epoch)
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+ - `lora_epochN/`: adapter cuối mỗi epoch
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+ - mỗi thư mục có `thong_tin.json` (ngày, bước, điểm) và `cfg.json`
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+
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+ Dùng: `PeftModel.from_pretrained(AutoModelForImageTextToText.from_pretrained("zai-org/GLM-OCR"), "TEDI-AI/GLM-LORA", subfolder="lora_epoch3")`
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+ — prompt phải đúng như lúc train (PROMPT trong notebook).
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+
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+ `val_o_dung` = tỉ lệ ô đúng tuyệt đối trên 8 tờ val (chỉ tính lúc cuối epoch); `val_json_hop_le` = tỉ lệ đầu ra parse được JSON.
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+
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+ | ngày | thư mục | bước | epoch | train_loss | val_loss | val_json_hop_le | val_o_dung |
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+ |---|---|---|---|---|---|---|---|
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+ | 2026-11-11 00:36 (GMT+7) | lora_epoch3 | 414/414 | 3.0 | 0.0083 | 0.0108 | 1.0000 | 0.9910 |
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+ | 2026-11-11 00:36 (GMT+7) | ckpt | 414/414 | 3.0 | 0.0083 | 0.0108 | 1.0000 | 0.9910 |
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+ | 2026-11-11 00:06 (GMT+7) | ckpt | 400/414 | 2.9 | 0.0033 | 0.0106 | 1.0000 | 0.9899 |
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+ | 2026-11-10 23:28 (GMT+7) | ckpt | 375/414 | 2.72 | 0.0030 | 0.0105 | 1.0000 | 0.9899 |
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+ | 2026-11-10 22:51 (GMT+7) | ckpt | 350/414 | 2.54 | 0.0083 | 0.0107 | 1.0000 | 0.9899 |
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+ | 2026-11-10 22:12 (GMT+7) | ckpt | 325/414 | 2.36 | 0.0032 | 0.0111 | 1.0000 | 0.9899 |
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+ | 2026-11-10 21:34 (GMT+7) | ckpt | 300/414 | 2.17 | 0.0016 | 0.0117 | 1.0000 | 0.9899 |
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+ | 2026-11-10 20:57 (GMT+7) | lora_epoch2 | 276/414 | 2.0 | 0.0047 | 0.0119 | 1.0000 | 0.9899 |
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+ | 2026-11-10 20:57 (GMT+7) | ckpt | 276/414 | 2.0 | 0.0047 | 0.0119 | 1.0000 | 0.9899 |
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+ | 2026-11-10 20:46 (GMT+7) | ckpt | 275/414 | 1.99 | 0.0047 | 0.0120 | 1.0000 | 0.9504 |
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+ | 2026-11-10 20:08 (GMT+7) | ckpt | 250/414 | 1.81 | 0.0049 | 0.0125 | 1.0000 | 0.9504 |
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+ | 2026-11-10 19:30 (GMT+7) | ckpt | 225/414 | 1.63 | 0.0091 | 0.0134 | 1.0000 | 0.9504 |
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+ | 2026-11-10 18:53 (GMT+7) | ckpt | 200/414 | 1.45 | 0.0076 | 0.0140 | 1.0000 | 0.9504 |
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+ | 2026-11-10 18:15 (GMT+7) | ckpt | 175/414 | 1.27 | 0.0143 | 0.0153 | 1.0000 | 0.9504 |
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+ | 2026-11-10 17:36 (GMT+7) | ckpt | 150/414 | 1.09 | 0.0153 | 0.0163 | 1.0000 | 0.9504 |
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+ | 2026-11-10 17:17 (GMT+7) | lora_epoch1 | 138/414 | 1.0 | 0.0072 | 0.0172 | 1.0000 | 0.9504 |
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+ | 2026-11-10 17:17 (GMT+7) | ckpt | 138/414 | 1.0 | 0.0072 | 0.0172 | 1.0000 | 0.9504 |
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+ | 2026-11-10 16:48 (GMT+7) | ckpt | 125/414 | 0.91 | 0.0192 | 0.0199 | – | – |
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+ | 2026-11-10 16:10 (GMT+7) | ckpt | 100/414 | 0.73 | 0.0161 | 0.0240 | – | – |
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+ | 2026-11-10 15:32 (GMT+7) | ckpt | 75/414 | 0.54 | 0.0303 | 0.0343 | – | – |
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+ | 2026-11-10 14:53 (GMT+7) | ckpt | 50/414 | 0.36 | 0.0671 | 0.0618 | – | – |
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+ | 2026-11-10 14:15 (GMT+7) | ckpt | 25/414 | 0.18 | 0.1702 | 0.1799 | – | – |
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