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vit-base-patch16-224-crochets-clothes-classification – AI Model by Nick6154-dev | AlphaNeural AI
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Nick6154-dev
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vit-base-patch16-224-crochets-clothes-classification
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
imagefolder
google/vit-base-patch16-224
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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vit-base-patch16-224-crochets-clothes-classification
This model is a fine-tuned version of
google/vit-base-patch16-224
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0168
Accuracy: 0.9958
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.037
1.0
133
0.0260
0.9910
0.0235
2.0
267
0.0176
0.9942
0.0167
2.99
399
0.0168
0.9958
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
