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5.31 GB
64 files
Updated 1 day ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| MIWAI 2025 | 22 items | ||
| checkpoint | 9 items | ||
| data | 22 items | ||
| data_raw | 9 items | ||
| Benchmark.xlsx | 1.69 MB xet | ad84a251 | |
| README.md | 964 Bytes xet | acd68ded |
Luôn luôn sync file bắt đầu từ source code local (Vì dùng cursor để debug) => tải lên Colab, Kaggle, ThueGPU.vn
Đang Training data is on MINDsmall
LƯU Ý:
- Running data_preprocess.py script and Tensorboard on Computer
- Glove: https://nlp.stanford.edu/data/glove.840B.300d.zip
- entity_embedding_dim = 100 instead of 300
- Training on GPU P100 in Kaggle, A4000 on ThueGPU.vn (~24h)
- Test training on Google Colab
Using the REMARK Tip: ~~~~ The REMARK environment variable lets you customize the run name in TensorBoard for better readability:
- REMARK="num-filters-300-window-size-5" python3 src/train.py
Ubuntu setup note:
sudo apt-get update
sudo apt-get install python3-pip-whl python3-setuptools-whl python3.10-venv
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
export MODEL_NAME=NAML_LSTUR_DKN
python3 train.py
- Total size
- 5.31 GB
- Files
- 64
- Last updated
- Jul 15
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