calculator
This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6422
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: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7655 | 1.0 | 167 | 0.6422 |
| 0.6496 | 2.0 | 334 | 0.6717 |
| 0.6479 | 3.0 | 501 | 0.6706 |
| 0.8804 | 4.0 | 668 | 0.8621 |
| 0.8283 | 5.0 | 835 | 0.7388 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.3.1.post300
- Datasets 2.2.1
- Tokenizers 0.21.0
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Model tree for aisuko/calculator
Base model
microsoft/Phi-3.5-mini-instruct