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fine_tune – AI Model by Yanis-Gerst | AlphaNeural AI
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fine_tune
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transformers
safetensors
phi4mm
text-generation
generated_from_trainer
custom_code
microsoft/Phi-4-multimodal-instruct
finetune
mit
autotrain_compatible
us
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fine_tune
This model is a fine-tuned version of
microsoft/Phi-4-multimodal-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: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
