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resnet50-pothole-classification – AI Model by punchnami | AlphaNeural AI
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punchnami
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resnet50-pothole-classification
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transformers
tensorboard
safetensors
resnet
image-classification
vision
generated_from_trainer
imagefolder
microsoft/resnet-50
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
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output_resnet
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: 0.4783
Accuracy: 0.6705
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.2.0+cpu
Datasets 2.17.0
Tokenizers 0.15.1
