Edit model card

vit-base-oxford-iiit-pets

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

  • Loss: 0.2048
  • Accuracy: 0.9432

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: 0.0003
  • train_batch_size: 32
  • 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 Accuracy
1.7025 1.0 185 0.3849 0.9242
0.2944 2.0 370 0.2704 0.9337
0.2129 3.0 555 0.2417 0.9378
0.1761 4.0 740 0.2305 0.9350
0.157 5.0 925 0.2281 0.9378

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1
Downloads last month
108
Safetensors
Model size
85.8M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for shreydan/vit-base-oxford-iiit-pets

Finetuned
(471)
this model

Dataset used to train shreydan/vit-base-oxford-iiit-pets

Space using shreydan/vit-base-oxford-iiit-pets 1