Zainajabroh/image_emotion_classification_project_4

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imageemotionclassificationproject4

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

• —Loss: 1.9052
• —Accuracy: 0.5188

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: 1e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: reducelron_plateau
• —lrschedulerwarmup_steps: 50
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.46.2
• —Pytorch 2.5.0+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3