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image_classification – AI Model by nailashfrni | AlphaNeural AI
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nailashfrni
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image_classification
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transformers
pytorch
vit
image-classification
generated_from_trainer
beans
google/vit-base-patch16-224-in21k
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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image_classification
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the beans dataset. It achieves the following results on the evaluation set:
Loss: 0.1728
Accuracy: 0.9420
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
52
0.2885
0.9179
No log
2.0
104
0.1829
0.9469
No log
3.0
156
0.1789
0.9565
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
