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smoker_cls_base_MS_V2 – AI Model by ccclllwww | AlphaNeural AI
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smoker_cls_base_MS_V2
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transformers
tensorboard
safetensors
resnet
image-classification
generated_from_trainer
imagefolder
microsoft/resnet-50
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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smoker_cls_base_MS_V2
This model is a fine-tuned version of
microsoft/resnet-50
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.6767
Accuracy: 0.6832
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6949
1.0
15
0.6926
0.5248
0.6357
2.0
30
0.6824
0.6436
0.6817
3.0
45
0.6812
0.6733
0.6273
4.0
60
0.6806
0.6436
0.6787
4.7018
70
0.6759
0.7228
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
