phi2-Instruct-reg2-3
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu129
- Datasets 3.6.0
- Tokenizers 0.22.1
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Model tree for Grogros/phi2-Instruct-reg2-3
Base model
microsoft/phi-2