wahidww/maxvit_rmlp_base_rw_224.sw_in12k-finetuned-mobile-eye-tracking-dataset-v2

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maxvitrmlpbaserw224.sw_in12k-finetuned-mobile-eye-tracking-dataset-v2

This model is a fine-tuned version of timm/maxvit_rmlp_base_rw_224.sw_in12k on the imagefolder dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6589
• —Accuracy: 0.7863

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: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.48.3
• —Pytorch 2.5.1+cu124
• —Datasets 3.3.2
• —Tokenizers 0.21.0