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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: answerdotai/ModernBERT-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: modernbert-llm-router
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# modernbert-llm-router
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0367
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- F1: 0.9921
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.0395 | 1.0 | 479 | 0.0380 | 0.9893 |
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| 0.0283 | 2.0 | 958 | 0.0385 | 0.9913 |
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| 0.0165 | 3.0 | 1437 | 0.0380 | 0.9919 |
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| 0.0067 | 4.0 | 1916 | 0.0373 | 0.9921 |
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| 0.0106 | 5.0 | 2395 | 0.0367 | 0.9921 |
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### Framework versions
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- Transformers 4.48.0.dev0
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 299227092
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version https://git-lfs.github.com/spec/v1
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size 299227092
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