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donat-croissant – AI Model by bayuuat | AlphaNeural AI
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bayuuat
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donat-croissant
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transformers
tensorboard
safetensors
swin
image-classification
generated_from_trainer
imagefolder
victor/autotrain-donut-vs-croissant-1417653460
finetune
model-index
autotrain_compatible
endpoints_compatible
us
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donat-croissant
This model is a fine-tuned version of
victor/autotrain-donut-vs-croissant-1417653460
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0189
Accuracy: 0.9890
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
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
