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Phi-4-multimodal-instruct-edacc – AI Model by JacobLinCool | AlphaNeural AI

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JacobLinCool/
Phi-4-multimodal-instruct-edacc

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text-generation

generated_from_trainer

microsoft/Phi-4-multimodal-instruct

autotrain_compatible

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Phi-4-multimodal-instruct-edacc

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
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
lr_scheduler_warmup_steps: 50
num_epochs: 3

Training results

Framework versions

Transformers 4.49.0
Pytorch 2.4.1+cu124
Datasets 3.4.0
Tokenizers 0.21.1