| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: lemon-mint/LLM-Router-Test-01 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: LLM-Router-Test-02 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # LLM-Router-Test-02 |
|
|
| This model is a fine-tuned version of [lemon-mint/LLM-Router-Test-01](https://huggingface.co/lemon-mint/LLM-Router-Test-01) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.2848 |
| - eval_accuracy: 0.89 |
| - eval_runtime: 1.4714 |
| - eval_samples_per_second: 67.962 |
| - eval_steps_per_second: 2.718 |
| - epoch: 0.4484 |
| - step: 1400 |
| |
| ## 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: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
| |
| ### Framework versions |
| |
| - Transformers 4.48.3 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.3.0 |
| - Tokenizers 0.21.0 |
| |
