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hotpotqa_clustered_agglomerative_all-MiniLM-L6-v2_20_bert-base-uncased
cat-claws/hotpotqa_clustered_agglomerative_all-MiniLM-L6-v2_20_bert-base-uncased
hotpotqa_clustered_agglomerative_all-MiniLM-L6-v2_20_bert-base-uncased 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025
- SHA
- 1ab225f4
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_bert-base-uncased
This model is a fine-tuned version of bert-base-uncased 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
- bert
- License
- apache-2.0
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025