rubricreward/R3-Phi-4-reasoning-plus-LoRA-5K-v1.1
0
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phi4lora5k
This model is a fine-tuned version of microsoft/Phi-4-reasoning-plus on the r3-5k-new 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: 1e-05
- trainbatchsize: 1
- evalbatchsize: 8
- seed: 42
- distributed_type: multi-GPU
- gradientaccumulationsteps: 16
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 5
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0
- Datasets 3.6.0
- Tokenizers 0.21.1