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
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Model tree for lemon-mint/LLM-Router-Test-02
Base model
distilbert/distilbert-base-uncased
Finetuned
lemon-mint/LLM-Router-Test-01