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paraphrase-MiniLM_finetuned_27k_entity
Pujitha30/paraphrase-MiniLM_finetuned_27k_entity
paraphrase-MiniLM_finetuned_27k_entity is a text classification model from Pujitha30. 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
- Dec 12, 2025
- Updated
- Dec 12, 2025
- SHA
- 6f111073
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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. -->
paraphrase-MiniLM_finetuned_27k_entity
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4722
- Accuracy: 0.7331
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: 0.00023448414882060195
- train_batch_size: 30
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 60
- optimizer: Use OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 368 | 0.5141 | 0.6990 |
| 0.5525 | 2.0 | 736 | 0.4849 | 0.7178 |
| 0.445 | 3.0 | 1104 | 0.4722 | 0.7331 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 12, 2025
- Updated
- Dec 12, 2025