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swin-large-patch4-window12-384-in22k-finetuned-ADC-4cls-0923 – AI Model by Niraya666 | AlphaNeural AI
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Niraya666
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swin-large-patch4-window12-384-in22k-finetuned-ADC-4cls-0923
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transformers
pytorch
swin
image-classification
generated_from_trainer
imagefolder
microsoft/swin-large-patch4-window12-384-in22k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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swin-large-patch4-window12-384-in22k-finetuned-ADC-4cls-0923
This model is a fine-tuned version of
microsoft/swin-large-patch4-window12-384-in22k
on the imagefolder dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5621
eval_accuracy: 0.8571
eval_runtime: 6.0148
eval_samples_per_second: 11.638
eval_steps_per_second: 0.499
epoch: 26.4
step: 99
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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 200
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
