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vit-base-patch16-finetuned-beans – AI Model by osmanh | AlphaNeural AI
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osmanh
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vit-base-patch16-finetuned-beans
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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vit-base-patch16-finetuned-beans
This model is a fine-tuned version of
osmanh/vit-base-patch16-finetuned-EuroSAT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2010
Accuracy: 0.9662
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
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3493
1.0
13
0.2805
0.9420
0.2435
2.0
26
0.2215
0.9469
0.1721
3.0
39
0.1618
0.9758
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
