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DRU-RE-weighted-sampler-run
hadikhamoud/DRU-RE-weighted-sampler-run
DRU-RE-weighted-sampler-run is a machine learning model from hadikhamoud. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Full artifacts for the DRU-RE weighted-sampler run.
Access
Public
Updated Jul 8, 2026
Repo size
7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt4 GB · 44%
At a glance
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- 68c24851
Model card
From the Hugging Face model README
DRU-RE Weighted Sampler Run
Full artifacts for the DRU-RE weighted-sampler run.
Run type
Weighted sampler.
- Weighted sampler:
True - Sampler weight power:
1.0 - Class-weighted loss:
False - Base model:
U4RASD/NeoAraBERT - Max length:
512
Important files
model/pytorch_model.binmodel/tokenizer/config filesconfigs/artifacts/final_eval_metrics_after_best_reload.jsonartifacts/predictions.txtartifacts/submission.zip
Best checkpoint
outputs/DRU-RE-weighted-sampler/checkpoints/checkpoint-1000
Best metric
0.2962532050994147
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026