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vit-base-beans – AI Model by tracyqwerty | AlphaNeural AI
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tracyqwerty
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vit-base-beans
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transformers
safetensors
vit
image-classification
vision
generated_from_trainer
google/vit-base-patch16-224-in21k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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vit-base-beans
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: 0.7707
Accuracy: 0.9173
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Accuracy
Validation Loss
0.8225
1.0
33
0.9173
0.7707
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1
