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analysis-reviews
ntr2026/analysis-reviews
analysis-reviews is a text classification model from ntr2026. 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
- modernbert
- Access
- Public
- Created
- Apr 12, 2026
- Updated
- Apr 27, 2026
- SHA
- ad92835e
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. -->
analysis-reviews
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0765
- Accuracy: 0.8940
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: 8
- eval_batch_size: 8
- seed: 42
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3523 | 1.0 | 1067 | 0.3494 | 0.8884 |
| 0.2005 | 2.0 | 2134 | 0.4926 | 0.8884 |
| 0.0693 | 3.0 | 3201 | 0.7751 | 0.8846 |
| 0.0102 | 4.0 | 4268 | 0.9839 | 0.8874 |
| 0.0000 | 5.0 | 5335 | 1.0765 | 0.8940 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Apr 12, 2026
- Updated
- Apr 27, 2026