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LLM-Router-Test-02

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metadata
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: []

LLM-Router-Test-02

This model is a fine-tuned version of 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