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s1-2-phi-4-mini-inst – AI Model by nkerr | AlphaNeural AI
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s1-2-phi-4-mini-inst
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peft
tensorboard
safetensors
generated_from_trainer
microsoft/Phi-4-mini-instruct
adapter
mit
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s1-2q-phi4ins
This model is a fine-tuned version of
microsoft/Phi-4-mini-instruct
on an unknown 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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 3
Training results
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
