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
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Model tree for varcoder/resnet-101-CivilEng11k_3Classes-new
Base model
microsoft/resnet-101