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vit-base-patch16-224-finetuned-trash-classifications-albumentations – AI Model by mshidayat66 | AlphaNeural AI
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mshidayat66
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vit-base-patch16-224-finetuned-trash-classifications-albumentations
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pytorch
safetensors
vit
generated_from_trainer
imagefolder
google/vit-base-patch16-224
finetune
apache-2.0
model-index
us
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vit-base-patch16-224-finetuned-trash-classifications-albumentations
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: 0.2783
Accuracy: 0.9090
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4924
1.0
63
0.4184
0.8437
0.1551
1.99
126
0.4079
0.8714
0.04
2.99
189
0.2783
0.9090
Framework versions
Transformers 4.31.0
Pytorch 2.5.1+cu124
Datasets 2.19.1
Tokenizers 0.13.3
