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image_classification – AI Model by Ahmeng | AlphaNeural AI
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Ahmeng
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image_classification
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transformers
pytorch
tensorboard
vit
image-classification
generated_from_trainer
beans
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: 0.1943
Accuracy: 0.9469
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
0.2654
0.9324
No log
2.0
104
0.1310
0.9807
No log
3.0
156
0.1485
0.9662
Framework versions
Transformers 4.30.2
Pytorch 1.13.1+cu117
Datasets 2.13.2
Tokenizers 0.13.3
