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MaskedEyes_image_parts_df_VIT

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
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MaskedEyes_image_parts_df_VIT / README.md
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metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: MaskedEyes_image_parts_df_VIT
    results: []

MaskedEyes_image_parts_df_VIT

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

  • Loss: 0.0203
  • Accuracy: 0.9956

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0197 1.0 5252 0.0402 0.9907
0.0008 2.0 10504 0.0253 0.9940
0.0004 3.0 15756 0.0221 0.9944
0.0095 4.0 21008 0.0203 0.9956

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0