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phi-4-multimodal-instruct-lttc-NoQA-NoImage – AI Model by ntnu-smil | AlphaNeural AI
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ntnu-smil
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phi-4-multimodal-instruct-lttc-NoQA-NoImage
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transformers
tensorboard
safetensors
phi4mm
text-generation
generated_from_trainer
conversational
custom_code
ntnu-smil/phi-4-multimodal-instruct-lttc-NoQA-NoImage
finetune
mit
autotrain_compatible
us
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phi-4-multimodal-instruct-lttc-NoQA-NoImage
This model is a fine-tuned version of
ntnu-smil/phi-4-multimodal-instruct-lttc-NoQA-NoImage
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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 4.48.2
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
