Instructions to use TEDI-AI/GLM-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TEDI-AI/GLM-LORA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
ckpt: bước 225, epoch 1.63, train_loss=0.009148, val_loss=0.01339, val_json_hop_le=1, val_o_dung=0.9504
Browse files- ckpt/adapter_model.safetensors +1 -1
- ckpt/thong_tin.json +5 -5
- ckpt/trang_thai.pt +2 -2
ckpt/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 38177360
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version https://git-lfs.github.com/spec/v1
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oid sha256:30c12cae6c877600a830f03df9296579f8017762ac461a52c0d8f4395a00c1ce
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size 38177360
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ckpt/thong_tin.json
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{
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"thu_muc": "ckpt",
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"ngay": "2026-11-10
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"buoc":
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"tong_buoc": 414,
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"epoch": 1.
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"diem": {
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"train_loss": 0.
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"val_loss": 0.
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"val_json_hop_le": 1.0,
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"val_o_dung": 0.9503945885005637
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},
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{
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"thu_muc": "ckpt",
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"ngay": "2026-11-10 19:30 (GMT+7)",
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"buoc": 225,
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"tong_buoc": 414,
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"epoch": 1.63,
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"diem": {
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"train_loss": 0.009148110417299904,
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"val_loss": 0.013394925254397094,
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"val_json_hop_le": 1.0,
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"val_o_dung": 0.9503945885005637
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},
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ckpt/trang_thai.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d490209046a0524e294e26ef872195399dbec7168b50328ad909f7e6e79a16f
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size 76495527
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