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Omriy123/vit_epochs5_batch32_lr5e-05_size224_tiles10_seed3_q3_DA

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

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vitepochs5batch32lr5e-05size224tiles10seed3q3DA

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: 0.2169
  • —Accuracy: 0.9344

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
0.04241.04690.21690.9344
0.09322.09380.21740.9408
0.05173.014070.22820.9429
0.04574.018760.24890.9405
0.0175.023450.23720.9469

Framework versions

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