maxvit_rmlp_base_rw_224.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
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9063	0.9980	255	1.0662	0.6481
0.5769	1.9980	510	0.7553	0.7491
0.5356	2.9980	765	0.7312	0.7561
0.4201	3.9980	1020	0.7067	0.7549
0.446	4.9980	1275	0.6589	0.7863

Framework versions

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