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 200, epoch 1.45, train_loss=0.00755, val_loss=0.01399, 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 sha256:338471ac4b8353288c0a2b1ee46d629b1a7e8b8e3c896d17e5950b3e271ccb55
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size 38177360
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ckpt/thong_tin.json
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@@ -1,12 +1,12 @@
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{
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"thu_muc": "ckpt",
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"ngay": "2026-11-10 18:
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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 18:53 (GMT+7)",
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"buoc": 200,
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"tong_buoc": 414,
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"epoch": 1.45,
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"diem": {
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"train_loss": 0.007550140260718763,
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"val_loss": 0.013986962020862848,
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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:b9ab8501279904c23f557403355ce50b8eeb7bd3163f34e03795e4f6ab1d7bf9
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size 76495143
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