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resnet-101-CivilEng11k_3Classes-new – AI Model by varcoder | AlphaNeural AI

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varcoder/
resnet-101-CivilEng11k_3Classes-new

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image-classification

generated_from_trainer

microsoft/resnet-101

autotrain_compatible

endpoints_compatible

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resnet-101-CivilEng11k_3Classes-new

This model is a fine-tuned version of microsoft/resnet-101 on the imagefolder dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0001
eval_accuracy: 1.0
eval_runtime: 58.9592
eval_samples_per_second: 10.007
eval_steps_per_second: 0.322
epoch: 5.0
step: 140

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Framework versions

Transformers 4.37.2
Pytorch 2.0.1+cpu
Datasets 2.18.0
Tokenizers 0.15.1