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Omriy123/vit_epochs5_batch32_lr5e-05_size224_tiles10_seed2_q3_dropout_v2

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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vitepochs5batch32lr5e-05size224tiles10seed2q3dropout_v2

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the DogsvsCats dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2174
  • —Accuracy: 0.9131

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
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.11471.04690.21740.9131
0.11352.09380.25900.9061
0.01943.014070.27800.9264
0.00534.018760.29650.9347
0.00265.023450.30560.9347

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1