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Florence2-Problem-detection – AI Model by byh711 | AlphaNeural AI

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byh711/
Florence2-Problem-detection

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microsoft/Florence-2-base-ft

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Florence2-Problem-detection

This model is a fine-tuned version of microsoft/Florence-2-base-ft 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: 1e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
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: 10

Framework versions

Transformers 4.51.3
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1