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mluger/
vitFaceExpression-HierachicalHead-CombinedAugmentation

Name: vitFaceExpression-HierachicalHead-CombinedAugmentation
Availability: InStock

transformers

tensorboard

safetensors

generated_from_trainer

imagefolder

google/vit-base-patch16-224-in21k

finetune

apache-2.0

endpoints_compatible

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vitFaceExpression-HierachicalHead-CombinedAugmentation

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

Loss: 0.7441
Accuracy: 0.6963

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
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: cosine
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0979	1.0	673	0.8969	0.6201
0.8571	2.0	1346	0.8009	0.6651
0.704	3.0	2019	0.7756	0.6733
0.6211	4.0	2692	0.7544	0.6799
0.5685	5.0	3365	0.7405	0.6957
0.4659	6.0	4038	0.7467	0.6939
0.422	7.0	4711	0.7449	0.6959
0.399	8.0	5384	0.7441	0.6963

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1

mluger/vitFaceExpression-HierachicalHead-CombinedAugmentation

vitFaceExpression-HierachicalHead-CombinedAugmentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mluger/
vitFaceExpression-HierachicalHead-CombinedAugmentation