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valueeval24-bert-phase1-initialfreeze
DayCardoso/valueeval24-bert-phase1-initialfreeze
valueeval24-bert-phase1-initialfreeze is a text classification model from DayCardoso. 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
- Jul 1, 2025
- Updated
- Jul 1, 2025
- SHA
- f1d4e972
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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. -->
valueeval24-bert-phase1-initialfreeze
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1085
- F1: 0.1171
- Roc Auc: 0.5320
- Accuracy: 0.0580
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: 0.00025
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch 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
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.1192 | 1.0 | 2883 | 0.1084 | 0.0885 | 0.5234 | 0.0445 |
| 0.0927 | 2.0 | 5766 | 0.1085 | 0.1171 | 0.5320 | 0.0580 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Jul 1, 2025
- Updated
- Jul 1, 2025