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phi3.5-vision-ai701 – AI Model by Erland | AlphaNeural AI
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Erland
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phi3.5-vision-ai701
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peft
safetensors
generated_from_trainer
microsoft/Phi-3.5-vision-instruct
adapter
mit
us
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phi3.5-vision-ai701
This model is a fine-tuned version of
microsoft/Phi-3.5-vision-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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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
lr_scheduler_warmup_steps: 50
num_epochs: 1
Training results
Framework versions
PEFT 0.12.0
Transformers 4.46.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.20.3
