Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mobilenetv3-Naive – AI Model by MinhLe999 | AlphaNeural AI
You can deploy this model and start earning money today!
MinhLe999
/
mobilenetv3-Naive
like
0
transformers
tensorboard
safetensors
mobilenet_v3_binary
generated_from_trainer
imagefolder
MinhLe999/mobilenetv3-Naive
finetune
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mobilenetv3-Naive
This model is a fine-tuned version of
MinhLe999/mobilenetv3-Naive
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Accuracy: 1.0
Precision: 1.0
Recall: 1.0
F1: 1.0
Roc Auc: 1.0
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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
Roc Auc
0.0015
1.0
74
0.0008
1.0
1.0
1.0
1.0
1.0
0.0056
2.0
148
0.0000
1.0
1.0
1.0
1.0
1.0
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
