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vit-msn-small-finetuned-custom-logo – AI Model by Danx15 | AlphaNeural AI

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Danx15/
vit-msn-small-finetuned-custom-logo

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image-classification

generated_from_trainer

facebook/vit-msn-small

autotrain_compatible

endpoints_compatible

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vit-msn-small-finetuned-custom-logo

This model is a fine-tuned version of facebook/vit-msn-small on the imagefolder dataset. It achieves the following results on the evaluation set:

eval_loss: 6.3923
eval_model_preparation_time: 0.0035
eval_accuracy: 0.0031
eval_runtime: 9.5833
eval_samples_per_second: 170.087
eval_steps_per_second: 2.713
step: 0

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Use 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: 10

Framework versions

Transformers 4.46.2
Pytorch 2.4.1+cu121
Datasets 2.20.0
Tokenizers 0.20.3