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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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- llm-router |
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- modernbert |
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metrics: |
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- f1 |
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model-index: |
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- name: ModernBERT-large-llm-router |
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results: [] |
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datasets: |
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- DevQuasar/llm_router_dataset-synth |
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pipeline_tag: text-classification |
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language: |
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- en |
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--- |
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# ModernBERT-large-llm-router |
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This model is a fine-tuned version of the [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-base) model using the [DevQuasar/llm_router_dataset-synth](https://huggingface.co/datasets/DevQuasar/llm_router_dataset-synth) dataset. |
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The fine-tuned model achieves the following results on the test set: |
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- Loss: 0.0555 |
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- F1: 0.9933 |
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This model was trained using a RTX 4090 |
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## Model description |
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See original [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) model card for additional information. This model is intended to classify queries for LLM routing. where advanced/complicated queries are labeled as 1 (large_llm) and simpler queries are labeled as 0 (small_llm). |
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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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- gradient_accumulation_steps: 2 |
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- bf16: True |
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- seed: 42 |
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- optimizer: Use adamw_torch_fused |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training Code |
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GITHUB URL TO BE ADDED |
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### Training results |
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| Epoch | Validation Loss | F1 | |
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|:-----:|:---------------:|:------:| |
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| 1.0 | 0.0296 | 0.9907 | |
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| 2.0 | 0.0327 | 0.9911 | |
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| 3.0 | 0.0474 | 0.9933 | |
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| 4.0 | 0.0563 | 0.9933 | |
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| 5.0 | 0.0554 | 0.9933 | |
