Downloads · 30 days
3
5% of all-time downloads
hotpotqa_clustered_agglomerative_all-MiniLM-L6-v2_20_microsoft-deberta-v3-small
cat-claws/hotpotqa_clustered_agglomerative_all-MiniLM-L6-v2_20_microsoft-deberta-v3-small
hotpotqa_clustered_agglomerative_all-MiniLM-L6-v2_20_microsoft-deberta-v3-small is a text classification model from cat-claws. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
59
Public
Parameters
142M
570 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors568 MB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025
- SHA
- 177cccef
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
hotpotqa_clustered_agglomerative_all-MiniLM-L6-v2_20_microsoft-deberta-v3-small
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Framework versions
- Transformers 4.55.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025