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ST1_modernbert-large_hazard-category_V2
BenPhan/ST1_modernbert-large_hazard-category_V2
ST1_modernbert-large_hazard-category_V2 is a text classification model from BenPhan. 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
- Jan 13, 2025
- Updated
- Jan 14, 2025
- SHA
- 91e3e4a1
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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. -->
ST1_modernbert-large_hazard-category_V2
This model is a fine-tuned version of answerdotai/ModernBERT-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3219
- F1: 0.9424
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: 16
- 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 | F1 |
|---|---|---|---|---|
| 0.7171 | 1.0 | 286 | 0.3730 | 0.8750 |
| 0.2641 | 2.0 | 572 | 0.3079 | 0.9201 |
| 0.1531 | 3.0 | 858 | 0.2666 | 0.9324 |
| 0.0803 | 4.0 | 1144 | 0.2954 | 0.9392 |
| 0.0353 | 5.0 | 1430 | 0.3219 | 0.9424 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Jan 13, 2025
- Updated
- Jan 14, 2025