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hello-yes-recall
Andesha/hello-yes-recall
hello-yes-recall is a text classification model from Andesha. 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
- Dec 11, 2025
- Updated
- Dec 11, 2025
- SHA
- 9a2792ae
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. -->
hello-yes-recall
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: 0.8338
- F1: 0.6895
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- 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 | F1 |
|---|---|---|---|---|
| 0.9868 | 1.0 | 238 | 0.9431 | 0.5981 |
| 0.8795 | 2.0 | 476 | 0.8704 | 0.6700 |
| 0.7862 | 3.0 | 714 | 0.8379 | 0.6825 |
| 0.7416 | 4.0 | 952 | 0.8342 | 0.6878 |
| 0.7368 | 5.0 | 1190 | 0.8338 | 0.6895 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.7.1
- Datasets 4.3.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025