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modernbert-llm-router
namrathaas/modernbert-llm-router
modernbert-llm-router is a text classification model from namrathaas. 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
- Feb 4, 2025
- Updated
- Feb 4, 2025
- SHA
- 3ada26b6
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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 answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2796
- F1: 0.9674
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: 8
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 77 | 0.4623 | 0.9336 |
| 0.272 | 2.0 | 154 | 0.1596 | 0.9606 |
| 0.0958 | 3.0 | 231 | 0.2183 | 0.9355 |
| 0.0452 | 4.0 | 308 | 0.2488 | 0.9674 |
| 0.0452 | 5.0 | 385 | 0.2796 | 0.9674 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Feb 4, 2025
- Updated
- Feb 4, 2025