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modernbert-llm-router
SunitOutreach/modernbert-llm-router
modernbert-llm-router is a text classification model from SunitOutreach. 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
- Jan 1, 2025
- Updated
- Jan 1, 2025
- SHA
- 4a2d6c13
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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. -->
modernbert-llm-router
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2928
- F1: 0.9313
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 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 |
|---|---|---|---|---|
| 1.7122 | 1.0 | 313 | 1.2500 | 0.7701 |
| 0.5525 | 2.0 | 626 | 0.4919 | 0.9055 |
| 0.2615 | 3.0 | 939 | 0.3544 | 0.9202 |
| 0.1423 | 4.0 | 1252 | 0.3026 | 0.9293 |
| 0.0763 | 5.0 | 1565 | 0.2928 | 0.9313 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 1, 2025
- Updated
- Jan 1, 2025