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metadata
license: apache-2.0
base_model: microsoft/resnet-50
tags:
  - image-classification
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: results
    results: []

results

This model is a fine-tuned version of microsoft/resnet-50 on the essam24/brain-tumour-v1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5474

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 37 7.5096
No log 2.0 74 6.1869
No log 3.0 111 2.2303
No log 4.0 148 0.7004
No log 5.0 185 0.5474

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1