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