chat_router
This model is a fine-tuned version of google/gemma-3-270m-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2240
- Accuracy: 0.8413
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7672 | 1.0 | 649 | 0.5834 | 0.8109 |
| 0.3454 | 2.0 | 1298 | 0.6829 | 0.8317 |
| 0.1902 | 3.0 | 1947 | 0.9910 | 0.8422 |
| 0.0534 | 4.0 | 2596 | 1.2073 | 0.8395 |
| 0.0430 | 5.0 | 3245 | 1.2240 | 0.8413 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.2
- Tokenizers 0.22.2
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