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vit-base-beans – AI Model by zazazaChiang | AlphaNeural AI
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zazazaChiang
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vit-base-beans
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transformers
safetensors
vit
image-classification
vision
generated_from_trainer
arrow
google/vit-base-patch16-224-in21k
finetune
apache-2.0
model-index
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 arrow dataset. It achieves the following results on the evaluation set:
Loss: 0.0667
Accuracy: 0.9925
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: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Accuracy
Validation Loss
0.2797
1.0
130
0.9624
0.2229
0.1283
2.0
260
0.9774
0.1240
0.1325
3.0
390
0.9774
0.0953
0.0809
4.0
520
0.9925
0.0667
0.1164
5.0
650
0.9774
0.0842
Framework versions
Transformers 4.44.2
Pytorch 2.3.1
Datasets 2.21.0
Tokenizers 0.19.1
