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marvelmmy/
vit-emotion-push

Name: vit-emotion-push
Availability: InStock

pytorch

vit

generated_from_trainer

imagefolder

apache-2.0

model-index

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vit-emotion-push

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: 1.0552
Accuracy: 0.6687

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	40	1.0610	0.6188
No log	2.0	80	1.0431	0.6625
No log	3.0	120	1.0737	0.65
No log	4.0	160	1.0604	0.65
No log	5.0	200	1.0552	0.6687

Framework versions

Transformers 4.28.1
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.13.3

marvelmmy/vit-emotion-push

vit-emotion-push

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

marvelmmy/
vit-emotion-push