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mobilenet_multilabel – AI Model by 0-0-WasAlreadyTaken | AlphaNeural AI
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mobilenet_multilabel
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transformers
safetensors
mobilenet_v2
image-classification
generated_from_trainer
google/mobilenet_v2_1.0_224
finetune
other
autotrain_compatible
endpoints_compatible
us
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mobilenet_multilabel
This model is a fine-tuned version of
google/mobilenet_v2_1.0_224
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: 0.0002
train_batch_size: 16
eval_batch_size: 8
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: 5
Training results
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
